• Syneos Health, USA, Visiting Researcher, Dec 2023 – Jan 2024
• Carnegie Mellon University, USA, Visiting Faculty, Social and Decision Sciences, Dec 2013 – Jan 2014
• Max Planck Institute for Human Development, Germany, Summer Institute on Bounded Rationality, Jul 2009 – Aug 2009
• Carnegie Mellon University, USA, Steinbrenner Fellowship, Aug 2008 – Aug 2009
• Carnegie Mellon University, USA, Dean’s Fellowship, Aug 2007 – May 2008
• Carnegie Mellon University, USA, ACT-R Summer School, Jul 2007 – Aug 2007
• Thapar University, India, Tuition Fellowship (1st in Branch), Aug 2000 – Aug 2001

• Chair, 15th International IEEE Conference On Computing, Communication And Networking Technologies (ICCCNT), 2024
• Workshop organizer, IGSTC Workshop on Changing people's Attitude Against Climate Change: Effect of Visualization, Feedback, and Peer influence, 2024
• Convenor, Mind, Brain, Consciousness Conference, IIT Mandi, 2023
• Invitation to Spencer Foundation Convening, 2023
• Incubation of Intiot Services Pvt Ltd via IIT Madras with a 50 lakhs grant, 2023
• Won 3rd prize worth Rs. 50,000 on Best Entrepreneurship Award 2022 IIT Mandi's first student-faculty incubated startup 'Intiot Services PVT. LTD' under the Chief Minister's Startup, Innovation Project, and New Industries Scheme, 2022
• Presenter in the Indo-US Joint Task Group Workshop, INMAS, DRDO, Delhi, 2021, 2022
• SKOCH Award (Gold), Safety & Security for Landslide Monitoring and Warning System, 2020
• Organizer, UKIERI – DST international workshop on adversarial cybersecurity, 2020
• ACT-R tutorial as part of the One Week Short Course/FDP on Cognition and Computation, IIT Roorkee 2020
• Member of Editorial Board of Management and Business Review (MBR) journal, 2019
• Founder of first faculty-led start-up at IIT Mandi, iIoTs, 2019
• Organizer, Winter School on Cognitive Modeling, IIT Mandi 2019, 2020
• Senior Member, IEEE, 2018
• 3rd Prize, Development of Innovative prototypes for disaster risk reduction, HP Government, 2018
• Special Topics Editor, Frontiers in Cognitive Science, 2017.
• Member of Program Committee of IEEE 2017 International Symposium on Computational and Business Intelligence (ISCBI 2017).
• Member of Program Committee of IEEE Cyber Incident 2017: International Conference On Cyber Incident Response, Coordination, Containment & Control 2017.
• Member of Program Committee of IEEE Social Media 2017: International Conference On Social Media, Wearable And Web Analytics 2017.
• Best Student Paper Award, Applied Human Factors and Ergonomics (AHFE) 2017, 27-31 July, 2016.
• Review Editor, Frontiers in Decision Neuroscience, 2016.
• Member of Program Committee of IEEE Cyber SA 2016, London, UK, 2016.
• Best paper award in IEEE International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA 2015).
• Review Editor, Frontiers in Cognitive Science 2015.
• Member of Program Committee for ACM IUI 2015.
• Member of Technical Committee of the Confluence: The Next Generation Information Technology Summit 2014.
• Invited speaker at the Energy and Sustainability Conference ISB Mohali 2014.
• Invited for the IEEE/PES Talk on "Decisions from Experience reduce Misconceptions on Climate Change" at Pittsburgh, USA 2014.
• Member of Technical Program Committee/Advisory Committee for the 2013 IEEE International Conference on MOOC, Innovation and Technology in Education (MITE), 20-22 Dec, 2013.
• Technical Theme Chair for Theme V: Economics of Knowledge Management at the 2013 IEEE Conference on Information Management in the Knowledge Economy (IMKE) 2013.
• Invited for the United Nation’s Fourth Lead Author Meeting (LAM4) on IPCC (WG III) 5th Assessment Report (AR5) in Addis Ababa, Ethiopia, July, 2013.
• Invited talk at a 2-day workshop on "Decision Making and the Environment" at University of Heidelberg, Germany, 2013.
• Reached the final round of MIT Technology Review Young Innovators Under 35 Awards, 2013.
• Talk in the plenary session (titled "Promising Young Indian Contributors to Psychological Sciences") at the 2012 Annual Convention of National Academy of Psychology, India, 2012.
• Lead Author for Chapter 2 on "Integrated Risk and Uncertainty Assessment of Climate Change Response Policies" in IPCC (WG III) 5th Assessment Report (AR5), 2012-2014.
• Two Papers accepted in the journal Psychological Review 2011, 2012.
• Marquis Who’s Who of the World, 2006 - Present.
• Runner-up prize in the Market Entry Prediction Competition, http://sites.google.com/site/gpredcomp/8-competition-results-and-winners, 2011.
• Tutorial presenter at BRIMS 2011 Conference, Sundance Resort, UT, 2011.
• Panel discussion at BRIMS 2010 Conference, Charleston, SC, 2010.
• Talk on VB-ACT-R Tutorial, RMPA Conference, Denver, CO, 2010.
• Talk in EESM Seminar Steinbrenner Institute, Carnegie Mellon, 2009.
• Talk in Dynamic Decision Making Lab, Carnegie Mellon, 2007, 2009, 2010, 2011, 2012.
• Talk in Carnegie Mellon’s Graduate Student Appreciation Week 2011, 2011.
• Tutorial Presenter and Talk at HFES 2011, 2011.

Book Publications

• Dutt, V. (2011).
  Why do we want to defer actions on climate change? A psychological perspective (Doctoral dissertation).
  Carnegie Mellon University. Pittsburgh, PA, USA.
• Mukherjee, S., Dutt, V., & Srinivasan, N. (2023). Applied Cognitive Science and Technology: Implications of interaction between human cognition and technology. Springer-Nature, India.
• Dutt, V., Chandra, S., & Cassenti, D. (2023). Human decision-making in combat situations involving traditional and immersive visual technologies. Frontiers Media SA. Lausanne, Switzerland.
• Dutt, V., & Pammi, V. S. C. (2018). Application of Cognitive Approaches to Cyber Security. Frontiers Media SA. Lausanne, Switzerland.

Journal Publications

• Kumar, P., Priyanka, P., Dhanya, J., Uday, K. V., & Dutt, V. (2023). Analyzing the Performance of Univariate and Multivariate Machine Learning Models in Soil Movement Prediction: A Comparative Study. IEEE Access.
• Dutt, V., & Chandra, S. (2023). Human decision-making in combat situations involving traditional and immersive visual technologies. Frontiers in Psychology, 14, 1166115.
• Uttrani, S., Aggarwal, P., & Dutt, V. (2023). Does subnetting and port hardening influence human adversarial decisions? An investigation via a HackIT tool. Frontiers in Big Data, 6, 988007.
• Kapur, R., Kumar, Y., Sharma, S., Rastogi, V., Sharma, S., Kanwar, V., ... & Dutt, V. (2023). DiabeticSense: A Non-Invasive, Multi-Sensor, IoT-Based Pre-Diagnostic System for Diabetes Detection Using Breath. Journal of Clinical Medicine, 12(20), 6439.
• Choudhary, G., Rao, A. K., & Dutt, V. (2023). Does correlation heuristic dependence reduce due to classroom teaching? A case study from India. Frontiers in Psychology, 14, 1040538.
• Dutt, V., & Chandra S. (2023). Editorial on the Research Topic Human Decision-Making in Combat Situations Involving Traditional and Immersive Visual Technologies. Frontiers in Psychology (Cognitive Science), 14 - 2023, doi: 10.3389/fpsyg.2023.1166115
• Dhanda, M., Pant, P., Dogra, S., Gupta, A., Dutt, V. (2022). Sensitivity Analysis of Contact Type Vibration Measuring Sensors. Sound & Vibration, 56(3), 235–243.
• Rao, A. K., Chandra, S., & Dutt, V. (2022). Learning from feedback: Evaluation of dynamic decision-making in virtual reality under various repetitive training frameworks. Frontiers in Psychology (Cognitive Science), 13: 872061. doi: 10.3389/fpsyg.2022.872061
• Uttrani, S., Sharma, N., & Dutt, V. (2022). Life and Death Decisions and COVID‐19: Investigating and Modeling the Effect of Framing, Experience, and Context on Preference Reversals in the Asian Disease Problem. Topics in Cognitive Science, 14(4), 800-824. doi: 10.1111/tops.12607
• Gupta, A., Roy, P. P., & Dutt, V. (2021). Evaluation of instance-based learning and q-learning algorithms in dynamic environments. IEEE Access, 9, 138775-138790.
• Aggarwal, P., Moisan, F., Gonzalez, C., & Dutt, V. (2022). Learning about the effects of alert uncertainty in attack and defend decisions via cognitive modeling. Human Factors, 64(2), 343-358.
• Pathania, A., Kumar, P., Priyanka, Maurya, A., Kumar, M., Chaturvedi, P., ... & Dutt, V. (2022). Predictions of soil movements using persistence, auto-regression, and neural network models: a case-study in Mandi, India. International Journal of Swarm Intelligence, 7(1), 94-109.
• Katakwar, H., Aggarwal, P., Maqbool, Z., Dutt, V. (2022). Influence of Probing Action Costs on Adversarial Decision-Making in a Deception Game. Lecture Notes in Networks and Systems, 314, pp 649–658.
• Pathania A., Kumar P., Priyanka, Maurya A., Uday K. V., & Dutt, V. (2021). Development of an Ensemble Gradient Boosting Algorithm for Generating Alerts About Impending Soil Movements. Lecture Notes in Electrical Engineering, 749. doi: 10.1007/978-981-16-0289-4_28
• Thakur, V., Robinson, K., Oguz, E. A., Depina, I., Pathania, A., Kumar, P., Chaturvedi, P., Uday, K. V., & Dutt, V. (2021). Early Warning of Water-Triggered Landslides. Lecture Notes in Civil Engineering, 140. doi: 10.1007/978-981-33-6590-2_11
• Mali, N., Dutt, V., & Uday K. V. (2021). Determining the Geotechnical Slope Failure Factors via Ensemble and Individual Machine Learning Techniques: A Case Study in Mandi, India. Frontiers in Earth Science, 9, 701837. doi: 10.3389/feart.2021.701837
• Kumar, P., Sihag, P., Chaturvedi, P., Uday, K., & Dutt, V. (2021). BS-LSTM: An Ensemble Recurrent Approach to Forecasting Soil Movements in the Real World. Frontiers in Earth Science, 9, 696792. doi: 10.3389/feart.2021.696792
• Choudhary, G., & Dutt V. (2021). Experience in a Climate Simulator: Influence of Probability Function and Feedback on Decisions Against Climate Change. Frontiers in Psychology, 12, 674892. doi: 10.3389/fpsyg.2021.674892
• Kumar, P., Sihag, P., Sharma, A., Pathania, A., Singh, R., Chaturvedi, P., Mali, N., Uday, K. V., Dutt, V. (2021). Prediction of Real-World Slope Movements via Recurrent and Non-recurrent Neural Network Algorithms: A Case Study of the Tangni Landslide. Indian Geotech Journal, 51, 788–810. doi: 10.1007/s40098-021-00529-4
• Chaturvedi, P., & Dutt, V. (2021). Understanding Human Decision-Making in an Interactive Landslide Simulator Tool via Reinforcement Learning. Frontiers in Psychology, 11:499422. doi: 10.3389/fpsyg.2020.499422
• Pathania, A., Kumar, P., Priyanka., Maurya, A., Uday, K. V., & Dutt, V. (2020) Development of an Ensemble Gradient Boosting Algorithm for Generating Alerts about impending Soil Movements. In Workshop on Machine learning, Deep learning, and Computational Intelligence for wireless communication. Lecture Notes in Electrical Engineering. Volume 749
• Rao, A. K., Chandra, S., & Dutt, V. (2020). Desktop and Virtual-Reality Training Under Varying Degrees of Task Difficulty in a Complex Search-and-Shoot Scenario. Lecture Notes in Computer Science, 12428, 421–439. https://doi.org/10.1007/978-3-030-59990-4_31
• Agarwal, K., Uniyal, P., Virendrasingh, S., Krishna, S., & Dutt, V. (2020). Spam Mail Classification Using Ensemble and Non-Ensemble Machine Learning Algorithms. Lecture Notes in Networks and Systems, 141, 179-189.
• Katakwar, H., Aggarwal, P., Maqbool, Z., & Dutt, V. (2020). Influence of Network Size on Adversarial Decisions in a Deception Game Involving Honeypots. Frontiers in Psychology, 11, 2385.
• Tyagi, R., Aggarwal, P., Mohanty, M., Dutt, V., & Anand, A. (2020). Computational cognitive modeling and validation of Dp140 induced alteration of working memory in Duchenne Muscular Dystrophy. Nature Scientific Reports, 10(1), 1-12.
• Kumar, M., & Dutt, V. (2020). Understanding Decisions in Collective Risk Social Dilemma Games Using Reinforcement Learning. IEEE Transactions on Cognitive and Developmental Systems, 12(4), 824-840.
• Kaushik, S., Choudhury, A., Natarajan, S., Pickett, L. A., & Dutt, V. (2020). Medicine expenditure prediction via a variance-based generative adversarial network. IEEE Access, 8, 110947-110958.
• Aggarwal, P., & Dutt, V. (2020). The role of information about opponent’s actions and intrusion-detection alerts on cyber decisions in cyber security games. Cyber Security: A Peer-Reviewed Journal, 3(4), 363-378.
• Kaushik, S., Choudhury, A., Sheron, K.P., Sayee, N.D., Larry A. P., & Dutt V. (2020). AI in healthcare: time-series forecasting using statistical, neural, and ensemble architectures. Frontiers in Big Data, 3(4).
• Maqbool, Z., Aggarwal, P., Pammi, V. C., & Dutt, V. (2020). Cyber Security: Effects of Penalizing Defenders in Cyber-Security Games via Experimentation and Computational Modeling. Frontiers in Psychology, 11 (11).
• Sangar, S., Dutt, V., & Thakur, R. (2020). Coping with out-of-pocket health expenditure in India: evidence from NSS 71st round. Global Social Welfare, 7(3), 275-284.
• Maqbool, Z., & Dutt, V. (2019). Behavioural Cybersecurity: Investigating the influence of patching vulnerabilities on cyber decision-making via cognitive modeling. Journal of Cyber Situation Awareness, 4(1), 185-209.
• Kumar, M., & Dutt, V. (2019). Alleviating misconceptions about Earth's climate: evidence of behavioral learning in stock-and-flow simulations. System Dynamics Review, 34(4), 503-526.
• Sangar, S., Dutt, V., & Thakur, R. (2019). Comparative Assessment of Economic Burden of Disease in Relation to Out of Pocket Expenditure. Frontiers in Public Health, 7.
• Sangar, S., Dutt, V., & Thakur, R. (2019). Distress financing of out-of-pocket health expenditure in India. Review of Development Economics, 23(1), 314-330.
• Aggarwal, P., Moisan, F., Gonzalez, C., & Dutt, V. (2018). Understanding Cyber Situational Awareness in a Cyber Security Game Involving Recommendations. International Journal of Cyber Situational Awareness, 3(1), 1-29.
• Choudhury, A., Kaushik, S., & Dutt, V. (2018). Social-network analysis in healthcare: analysing the effect of weighted influence in physician networks. Network Modeling Analysis in Health Informatics and Bioinformatics, 7(1), 17.
• Chaturvedi, P., Arora, A., & Dutt, V. (2018). Learning in an interactive simulation tool against landslide risks: the role of strength and availability of experiential feedback. Natural Hazards and Earth System Sciences, 18(6), 1599-1616.
• Sangar, S., Dutt, V., & Thakur, R. (2018). Economic burden, impoverishment and coping mechanisms associated with out -of-pocket health expenditure: analysis of rural-urban differentials in India. Journal of Public Health, 1-10.
• Sangar, S., Dutt, V., & Thakur, R. (2018). Rural–urban differentials in out-of-pocket health expenditure and resultant impoverishment in India: evidence from NSSO 71st Round. Asia-Pacific Journal of Regional Science, 3, 273–291.
• Sharma, N., Debnath, S., & Dutt, V. (2018). Influence of an intermediate option on the description-experience gap and information search. Frontiers in Psychology, 9, 364.
• Kumar, M., & Dutt, V. (2018). Experience in a Climate Microworld: Influence of Surface and Structure Learning, Problem Difficulty, and Decision Aids in Reducing Stock-Flow Misconceptions. Frontiers in Psychology, 9, 299.
• Sangar, S., Dutt, V., & Thakur, R. (2018). Economic burden, impoverishment and coping mechanisms associated with out-of-pocket health expenditure: analysis of rural-urban differentials in India. Journal of Public Health, 1-10.
• Chaturvedi, P., Arora, A., & Dutt, V. (2017). Learning in an Interactive Simulation Tool against Landslide Risks: The Role of Amount and Availability of Experiential Feedback, Nat. Hazards Earth Syst. Sci. Discuss., DOI:10.5194/nhess-2017-297.
• Sharma, G., Kaushal, Y., Chandra, S., Singh, V., Mittal, A. P., & Dutt, V. (2017). Influence of Landmarks on Wayfinding and Brain Connectivity in Immersive Virtual Reality Environment. Frontiers in psychology, 8, 1220.
• Sharma, N., & Dutt, V. (2017). Modeling decisions from experience: How models with a set of parameters for aggregate choices explain individual choices. Journal of Dynamic Decision Making, 3(3).
• Maqbool, Z., Makhijani, N., Pammi, V. C., & Dutt, V. (2017). Effects of Motivation: Rewarding Hackers for Undetected Attacks Cause Analysts to Perform Poorly. Human factors, 59(3), 420-431.
• Aggarwal, G., Dring, E., Gupta, N., Johnson, V., Maalouf, J., Dutt, V., McCauley, S., Rajan, P. & Shockey, I. (2016). Improving Healthcare Coordination in the Mandi District.
• Kaushik, S., Choudhury, A., Mallik, K., Moid, A., & Dutt, V. (2016). Applying Data Mining to Healthcare: A Study of Social Network of Physicians and Patient Journeys. In Machine Learning and Data Mining in Pattern Recognition (pp. 599-613). Springer, Cham.
• Kaushik, S., Choudhury, A., Mallik, K., Moid, A., & Dutt, V. (in press)
  Applying Data Mining to Healthcare: A Study of Social Network of Physicians and Patient Journeys. Lecture Notes in Computer Science, 9729, 599-613.
• Gonzalez, C., & Dutt, V.(2016)
  Exploration and maximization during information search and experimential choice. Journal of Dynamic Decision Making 07/2016; 2(2)., DOI:10.11588/jddm.2016.1.29308
• Biswas, P., Dutt, V., & Langdon, P. (2016). Comparing Ocular Parameters for Cognitive Load Measurement in Eye-gaze Controlled Interfaces for Automotive and Desktop Computing Environments. International Journal of Human-Computer Interaction, 32 (1), 23-38.
• Dutt, V., & Gonzalez, C. (2015).
  Accounting for outcome and process measures in dynamic decision-making tasks through model calibration. Journal of Dynamic Decision Making, 1(1).
• Gonzalez, C., Ben-Asher, N., Martin, J. M., & Dutt, V. (2015). A Cognitive Model of Dynamic Cooperation with Varied Interdependency Information. Cognitive Science.
• Dutt, V., Arlo-Costa, H., Helzner, J., & Gonzalez, C. (2014). The Description-Experience Gap in Risky and Ambiguous Gambles. Journal of Behavioral Decision Making.
• Mehlhorn, K., Ben-Asher, N., Dutt, V., & Gonzalez, C. (2014). Observed Variability and Values Matter: Towards a Better Understanding of Information Search and Decisions from Experience. Journal of Behavioral Decision Making.
• Dutt, V., & Kaur, A. (2013). Cyber Security: Testing the Effects of Attack Strategy, Similarity, and Experience on Cyber Attack Detection. International Journal of Trust Management in Computing and Communications, 1(3/4), 261-273. doi: 10.1504/IJTMCC.2013.056428
• Dutt, V., Young-Suk, A., & Gonzalez, C. (2013). Cyber Situation Awareness: Modeling the Detection of Cyber Attacks with Instance-based Learning Theory. Human Factors, 55(3), 605-618. doi: 10.1177/0018720812464045
• Gonzalez, C., Dutt, V., & Lebiere, C. (2013).
  Validating Instance-Based Learning Mechanisms Outside of ACT-R. Journal of Computational Science, 4(4), 262–268. doi: 10.1016/j.jocs.2011.12.001
• Proctor, R. W., Yamaguchi, M., Dutt, V., & Gonzalez, C. (2013).
  Dissociation of S-R Compatibility and Simon Effects with Mixed Tasks and Mappings. Journal of Experimental Psychology: Human Perception and Performance, 39(2), 593-609. doi: 10.1037/a0029923
• Dutt, V. (2013).
  Alleviating Wait-and-See Behavior for Climate Change through Computer Simulation Tools. Essent, 1(1), 33-37. issn: 2319-6149
• Dutt, V., & Gonzalez, C. (2013).
  Enabling eco-friendly choices by relying on the proportional-thinking heuristic. Sustainability, 5(1), 357-371. doi: 10.3390/su5010357
• Dutt, V., & Gonzalez, C.(2013).
  Reducing the Linear Perception of Non-Linearity: Use of a Physical Representation. Journal of Behavioral Decision Making, 26(1), 51-67. doi: 10.1002/bdm.759
• Gonzalez, C., & Dutt, V. (2012). Data Aggregation and "Ensuing Problems for the IBL Model": A reply to Hills and Hertwig (2012). Psychological Review, 119(4), 893-898. doi: 10.1037/a0029445
• Dutt, V., & Gonzalez, C. (2012). Making Instance-based Learning Theory Usable and Understandable: The Instance-based Learning Tool. Computers in Human Behavior, 28(4), 1227-1240. doi: 10.1016/j.chb.2012.02.006
• Dutt, V., & Gonzalez, C. (2015). Accounting for outcome and process measures in dynamic decision-making tasks through model calibration. Journal of Dynamic Decision Making, 1(1).
• Dutt, V., & Gonzalez, C. (2012).
  The role of inertia in modeling decisions from experience with instance-based learning. Frontiers in Psychology, 177(3), 1-12. doi: 10.3389/fpsyg.2012.00177
• Dutt, V., & Gonzalez, C. (2012).
  Decisions from experience reduces misconceptions about climate change. Journal of Environment Psychology, 32(1), 19-29. doi: 10.1016/j.jenvp.2011.10.003
• Dutt, V., & Gonzalez, C. (2011).
  Human Control of Climate. Climatic Change, 111(3-4), 497-518. doi: 10.1007/s10584-011-0202-x
• Dutt, V. (2011).
  Explaining Human Behavior in Dynamic Tasks through Reinforcement Learning. Journal of Advances in Information Technology, 2(3), 177-188. doi:10.4304/jait.2.3.177-188
• Dutt, V., Young-Suk, A., & Gonzalez, C. (2011).
  Cyber Situation Awareness: Modeling the Security Analyst in a Cyber-Attack Scenario through Instance-Based Learning. Lecture Notes in Computer Science, 6818, 280-292. doi: 10.1007/978-3-642-22348-8_24
• Dutt, V., & Gonzalez, C. (2011).
  Why do we want to delay actions on climate change? Effects of probability and timing of climate consequences. Journal of Behavioral Decision Making, 25, 154-164. doi: 10.1002/bdm.721
• Gonzalez, C. & Dutt, V. (2011).
  Instance-based Learning: Integrating Sampling and Repeated Decisions from Experience. Psychological Review, 118(4), 523-551. doi: 10.1037/a0024558
• Gonzalez C., Dutt, V., & Lejarraga T. (2011).
  A Loser Can Be a Winner: Comparison of Two Instance-based Learning Models in a Market Entry Competition. Games, 2(1), 136-162. doi: 10.3390/g2010136
• Gonzalez, C., & Dutt, V. (2011).
  A Generic Dynamic Control Task for Behavioral Research and Education. Computers in Human Behavior, 27, 1904–1914.
  doi: 10.1016/j.chb.2011.04.015
• Lejarraga, T., Dutt, V., & Gonzalez, C. (2010).
  Instance-based learning: A general model of repeated binary choice. Journal of Behavioral Decision Making, 25, 143-153. doi: 10.1002/bdm.722
• Young, M. D., Healy, A. F., Gonzalez, C., Dutt, V., & Bourne, L. E. (2010).
  Effects of training with added difficulties on RADAR detection. Applied Cognitive Psychology, 24, 1-22. doi: 10.1002/acp.1706

Patents

• Dutt, V., Aggarwal, P., Katakwar, H., Uttrani, S., and Sharma, M. (2022). Subnet Deception Tool – A testbed for understanding adversarial decision-making in the presence of subnetworks in realistic cyber deception scenarios (India Patent No. 202211005795). Indian Patent Office.
• Dutt, V., Kala, U., Agarwal, S., Kumar, P., Pathania, A., Priyanka, & Mali, N. (2018). Smart IoT based test bed system for lab-scale landslide monitoring experiments, Patent Application 201813039735. Patent Office Pocket 1, Sector 14 Dwarka, New Delhi, Delhi – 110078, 22/10/2018.
• Dutt, V., Kala, U., Chaturvedi, P., Agarwal, S., Agarwal, K., & Mali, N. (2018). Low cost sensor-based system for landslide monitoring and alerts, Patent Application PCT/IN2018/050217. Geneva, Switzerland, 16/04/2018.
• Dutt, V., Chaturvedi, P., Agrawal, K., Agrawal, S., Mali, N., & Kala, U. (2017). Low-cost sensor-based system for landslide monitoring and alerts, Patent Application 201711045337. Patent Office, Pocket 1, Sector 14 Dwarka, New Delhi, Delhi - 110078, 18/12/2017.
• Dutt, V., Chaturvedi, P., Saini, T., Kumar, P., Pathania, A., Rana, D.C. & Attri, S.C. (2019). Low-power, Low-cost Air-Quality Monitoring, Predicting & warning system, Patent Application 201911048755. New Delhi, Patent Office Dwarka New Delhi 110078, 28/11/2019.

Book Chapter Publications

• Uttrani, S., Rao, A. K., Kanekar, B., Vohra, I., & Dutt, V. (2023). Assessment of Various Deep Reinforcement Learning Techniques in Complex Virtual Search-and-Retrieve Environments Compared to Human Performance. In Applied Cognitive Science and Technology: Implications of Interactions Between Human Cognition and Technology (pp. 139-155). Singapore: Springer Nature Singapore.
• Maqbool, Z., Pammi, V. C., & Dutt, V. (2023). Behavioral Game Theory in Cyber Security: The Influence of Interdependent Information's Availability on Cyber-Strike and Patching Processes. In Applied Cognitive Science and Technology: Implications of Interactions Between Human Cognition and Technology (pp. 91-107). Singapore: Springer Nature Singapore.
• Kumar P., Priyanka P., Uday K.V., and Dutt, V. (2022). DR-A-LSTM: A Recurrent Neural Network with a Dimension Reduction Autoencoder a Deep Learning Approach for Landslide Movements Prediction. In: 12th International Advanced Computing Conference (IACC), Hyderabad, India. (in press)
• Priyanka P., Kumar P., Chaturvedi P., Uday K.V., and Dutt, V. (2022). Data-driven Approach for Predicting Surface Subsidence Velocity from Geotechnical Parameters. In: 12th International Advanced Computing Conference (IACC), Hyderabad, India. (in press)
• Priyanka P., Kumar P., Devi A., Kumar A., Gaurav G., Uday K.V., and Dutt, V. (2022). Univariate, Multivariate, and Ensemble of Multilayer Perceptron Models for Landslide Movement Prediction: A Case Study of Mandi. In: 12th International Advanced Computing Conference (IACC), Hyderabad, India. (in press)
• Katakwar, H., Uttrani, S., Aggarwal, P., & Dutt, V. (2022). Modeling the effects of network size in a deception game involving honeypots. In Cybersecurity and cognitive science (pp. 339-355). Academic Press.
• Uttrani, S., Nanta, B., Sharma, N., & Dutt, V. (2022). Modeling the impact of the COVID-19 pandemic and socioeconomic factors on global mobility and its effects on mental health. In Artificial Intelligence, Machine Learning, and Mental Health in Pandemics (pp. 189-208). Academic Press.
• Rao, A. K., Daniel, R. V., Pandey, V., Chandra, S., & Dutt, V. (2022). Impact of different field-of-views on visuospatial memory and cognitive workload in a complex virtual environment. In Advances in Augmented Reality and Virtual Reality (pp. 11-28). Springer, Singapore.
• Uttrani, S., Nanta, B., Sharma, N., & Dutt, V. (2022). Modeling the impact of the COVID-19 pandemic and socioeconomic factors on global mobility and its effects on mental health. In Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach (pp. 189-208). Elsevier.
• Maqbool. Z., Pammi, V. S. C., & Dutt, V. (2022). Computational Modeling of Decisions in Cyber-Security Games in the Presence or Absence of Interdependence Information. In Cybersecurity and Cognitive Science (pp. 357-370). Elsevier.
• Saini, T., Tomar, G., Rana D.C., Attri S., Chaturvedi, P., & Dutt, V. (2022). CloudIoT for pollution monitoring: A multivariate weighted ensemble forecasting approach for prediction of suspended particulate matter. In Verma K.J., Saxena, D., Gonzalez-Prida, D.V., and Shendryk, V., (1st Eds.), CloudIoT: Concepts, Paradigms and Applications. CRC Press.
• Saini, T., Rana, D.C., Attri, S., Chaturvedi, P., & Dutt, V. (2021). Forecasting of air pollution via a low-cost IoT-based monitoring system. In Verma K.J., Saxena, D., and Gonzalez-Prida, D.V. (1st Eds.), EAI/Springer Innovations in Communications and Computing: IoT and Cloud Computing for Societal Good (pp.25–35). Springer. doi: 10.1007/978-3-030-73885-3
• Saini T., Tomar G., Rana D.C., Attri S., & Dutt, V. (2021). A Weighted Ensemble Approach to Real-Time Prediction of Suspended Particulate Matter. In: Garg D., Wong K., Sarangapani J., Gupta S.K. (eds) Advanced Computing.
• Choudhury, A., Shakya, S., Kaushik, S., and Dutt, V. (2021). Evaluating Cascade Prediction via Different Embedding Techniques for disease mitigation. In A Moustafa et al. (eds.), Big Data in Psychiatry and Neurology (pp. 241-259). Elsevier.
• Shruti, K., Abhinav, C., Nataraj, D., Sayee, N.,Larry, A.P., & Dutt, V. (2020). Evaluating single-and multi-headed neural architectures for time-series forecasting of healthcare expenditures. In Bisht D.C. and Ram M. (3rd Eds
• Kumar, P., Sihag, P., Pathania, A., Chaturvedi, P., Uday, K. V., & Dutt, V. (2020). Comparison of Moving-average, Lazy, and Information Gain Methods for Predicting Weekly Slope-movements: A Case-study in Chamoli, India. In Casagli N., and Tofan V. (3rd ed.), Full Color Book: Proceedings of the 5th World Landslide Forum (WLF5). Kyoto, Japan. Springer.
• Singhal R., Kumar A., Zafar S., & Dutt, V. (2020). Evaluating Statistical Approaches for Tool Condition Monitoring in Drilling Applications. In: Tyagi M., Sachdeva A., Sharma V. (eds), Optimization Methods in Engineering. Springer, Singapore.
• Choudhury, A., Kaushik, S., & Dutt, V. (2020). Influence of Followers on Twitter Sentiments About Rare Disease Medications. In Satapathy, C.S., Zhang, Y., Bhateja, V., and Majhi, R. (3rd Eds.), Intelligent Data Engineering and Analytics: Frontiers in Intelligent Computing: Theory and Applications (FICA 2020). Springer.
• Sood, N., Rani, U., Swaminathan, S., Abraham, G., & Dutt, V. (2020). Applications of Statistical and Machine learning methods for predicting time-series performance of network devices. In Valenzuela, O., Fernando, R., Herrera, J.L, Pomares, H., Rojas, I. (eds), Contributions to Statistics, Springer.
• Kaushik, S., Choudhury, A., Dasgupta, N., Natarajan, S., Pickett, L. A., & Dutt, V. (2020). Evaluating autoencoder and principal component analysis for feature engineering in electronic health records. In Valenzuela, O., Fernando, R., Herrera, J.L, Pomares, H., Rojas, I. (eds), Contributions to Statistics. Springer.
• Kaushik, S., Choudhury, A., Dasgupta, N., Natarajan, S., Pickett, L. A., & Dutt, V. (2019). Ensemble of Multi-headed machine learning architectures for time-series forecasting of healthcare expenditures. In González-Prida, V., Zamora, J., Crespo, A., Moreu, P. (eds) Applications of Machine Learning. Springer Nature.
• Aggarwal P., Gautam A., Agarwal V., Gonzalez C., Dutt V. (2019) HackIT: A Human-in-the-Loop Simulation Tool for Realistic Cyber Deception Experiments. In: Ahram T., Karwowski W. (eds), Advances in Human Factors in Cybersecurity. AHFE 2019. Advances in Intelligent Systems and Computing, 960. Springer, Cham.
• Chaturvedi P., Dutt V. (2019) Influence of Social Norms on Decision-Making Against Landslide Risks in Interactive Simulation Tools. In: Cassenti D. (eds), Advances in Human Factors and Simulation. AHFE 2019, Advances in Intelligent Systems and Computing, 958. Springer, Cham.
• Mali, N., Chaturvedi, P., Dutt, V., & Kala, V. U. (2019). Training of Sensors for Early Warning System of Rainfall- Induced Landslides. In Recent Advances in Geo-Environmental Engineering, Geomechanics and Geotechnics, and Geohazards (pp. 449-452). Springer, Cham.
• Aggarwal, P., Gonzalez, C., & Dutt, V. (2018, September). HackIt: A Real-Time Simulation Tool for Studying Real- World Cyber-Attacks in the Laboratory. In Handbook of Computer Networks and Cybersecurity: Principles and paradigms. Springer, Cham.
• Chaturvedi, P., Thakur, K. K., Mali, N., Kala, V. U., Kumar, S., Yadav, S., & Dutt, V. (2018). A Low-Cost IoT Framework for Landslide Prediction and Risk Communication. In book: Internet of Things A to Z: Technologies and Applications, Edition: First, Chapter: Chapter 21, Publisher: Wiley-IEEE Press, Editors: Qusay F. Hassan, pp.593-610
• Sharma, N., & Dutt, V. (2015). Decisions from Information Search: Could Models of Aggregate Choice Explain Individual Choices? In M. Khosrow-Pour (Ed.), Encyclopedia of Information Science and Technology. (pp. XX-YY). Hershey, PA: IGI Global.
• Dutt, V., & Gonzalez, C. (2013).
  Climate Risk Communication: Effects of cost, timing, and probability of climate consequences in decisions from description and experience. In C. L. Fung (Ed.). Psychology of Policy Making (pp. 23-48). Hauppauge, New York: Nova Science Publishers.
• Dutt, V., & Gonzalez, C. (2013).
  Responding linearly in nonlinear problems: Application to earth's climate. In M. Carpenter & E. J. Shelton (Eds.). Carbon Dioxide Emissions: New Research (pp. 15-30). Hauppauge, New York: Nova Science Publishers.
• Dutt, V. (2013).
  Why Do We Defer Actions on Climate Change? A Cognitive Perspective. In M. Carpenter & E. J. Shelton (Eds.), Carbon Dioxide Emissions: New Research (pp. 1-14). Hauppauge, New York: Nova Science Publishers
• Dutt, V., & Gonzalez, C. (2012).
  Cyber Situation Awareness through Instance-Based Learning: Modeling the Security Analyst in a Cyber-Attack Scenario. In C. Onwubiko & T. Owens (Eds.), Situational Awareness in Computer Network Defense: Principles, Methods and Applications (pp. 125-140). Hershey, PA: IGI Global.

• Rao, A., Menon, V., Bhavsar, A., Chowdhury, S. R., Negi, R., Dutt, V. (2024). Classification of attention performance post-longitudinal tDCS via functional connectivity and machine learning methods. In 2024 IEEE 9th International Conference for Convergence in Technology (I2CT). eCF Paper Id: I2CT2024-894.
• Rao, A. K., Bhavsar, A., Chowdhury, S. R., Chandra, S., Negi, R. S., Duraisamy, P., Dutt, V. (2024). Evaluating the efficacy of a haptic feedback, 360° treadmill-integrated Virtual Reality framework and longitudinal training on decision-making performance in a complex search-and-shoot simulation. In Proceedings of the SPIE International SPIE Defense + Commercial Sensing Conference (accepted).
• Kumar, P., Priyanka, P., Uday, K. V., Dutt, V. (2023). Addressing Class Imbalance in Soil Movement Predictions. EGUsphere, 2023, 1-16.
• Chowdhury, S. R., & Dutt, V. (2023, August). Prediction of multitasking performance post-longitudinal tDCS via EEG-based functional connectivity and machine learning methods. In International Conference on Neural Information Processing.
• Sharma, M., Singh, K., Aggarwal, P., & Dutt, V. (2023, July). How well does GPT phish people? An investigation involving cognitive biases and feedback. In 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) (pp. 451-457). IEEE.
• Nandanwar, A., & Dutt, V. (2023, July). Assessing stress, anxiety, and depression with social robots via conversational AI. In Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 732-738).
• Jaswal, G., Sharma, G., Dutt, V., & Bhavsar, A. (2023, July). Learning channel attention for decoding of visual imagined text from multi-band EEG using metric learning. In Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 720-727).
• Choudhury, G., Tadia, K., & Dutt, V. (2023). Effects of Simulation Tools and Videos on People’s Cognizance of Climate Change.
• Ameta, D., Garg, A., Kumar, P., Behera, L., & Dutt, V. (2023, July). Evaluating the Effectiveness of Mantra Meditation in a 360 Virtual Reality Environment. In Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 766-772).
• Garg, A., Tripathi, K., Goyal, S., Behera, L., & Dutt, V. (2023, July). The impact of Odissi dance on stress, anxiety, and depression levels among young adults. In Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 754-759).
• Goyal, S., Behera, L., & Dutt, V. (2023). The impact of Odissi dance on stress, anxiety, and depression levels among young adults.
• Chandra, S., Chand, K., & Dutt, V. (2023). Impact of Indian Classical Raga in Immersive Environments on Human Psycho-physiological Parameters.
• Rajasekar, S. J. S., Jaswal, G., Perumal, V., Ravi, S., & Dutt, V. (2023, May). Parasite. ai–An Automated Parasitic Egg Detection Model from Microscopic Images of Fecal Smears using Deep Learning Techniques. In 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (pp. 1-9). IEEE.
• Gupta, A., Dabas, M., Uttrani, S., Sharma, S., & Dutt, V. (2023, September). Modeling Human Actions in the Cart-Pole Game Using Cognitive and Deep Reinforcement Learning Approach. In International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation (pp. 189-198). Cham: Springer Nature Switzerland.
• Priyanka, Kumar, P., Devi, A., Akshay, K., Gaurav, G., Uday, K. V., & Dutt, V. (2022, December). Univariate, Multivariate, and Ensemble of Multilayer Perceptron Models for Landslide Movement Prediction: A Case Study of Mandi. In International Advanced Computing Conference (pp. 106-118). Cham: Springer Nature Switzerland.
• Kumar, P., Priyanka, Uday, K. V., & Dutt, V. (2022, December). DR-A-LSTM: A Recurrent Neural Network with a Dimension Reduction Autoencoder a Deep Learning Approach for Landslide Movements Prediction. In International Advanced Computing Conference (pp. 35-49). Cham: Springer Nature Switzerland.
• Priyanka, Kumar, P., Chaturvedi, P., Uday, K. V., & Dutt, V. (2022, December). Data-Driven Approach for Predicting Surface Subsidence Velocity from Geotechnical Parameters. In International Advanced Computing Conference (pp. 64-81). Cham: Springer Nature Switzerland.
• Uttrani, S., Sharma, S., Dabas, M., Kanekar, B., & Dutt, V. (2022, December). Modeling Human Performance in Complex Search and Retrieve Environment Using Supervised and Unsupervised Machine Learning Techniques. In International Advanced Computing Conference (pp. 319-327). Cham: Springer Nature Switzerland.
• Uttrani, Shashank & Sharma, Shakshi & Dabas, Mahavir & Kanekar, Bhavik & Dutt, V. (2022). Modeling human performance in complex search and retrieve environment using supervised and unsupervised machine learning techniques. In New In ML at NeurIPS 2022.
• Vohra, I., Uttrani, S., Rao, A. K., & Dutt, V. (2021, December). Evaluating the efficacy of different neural network deep reinforcement algorithms in complex search-and-retrieve virtual simulations. In International Advanced Computing Conference (pp. 348-361). Springer, Cham.
• Uttrani, S., Kanekar, B., Gupta, A., Katakwar, H., Dutt, V. (2022). Evaluating Human Performance in a Complex Search-and-Retrieve Task. In: Ronald Boring (eds) Human Error, Reliability, Resilience, and Performance. AHFE (2022) International Conference. AHFE Open Access, vol 33. AHFE International, USA.
• Katakwar, H., Aggarwal, P. & Dutt, V. (2022). Understanding adversarial decisions for different probing-action costs in a deception game via cognitive modeling. MathPsych/International Conference in Cognitive Modeling (ICCM) 2022, Canada.
• Sharma, M., Kumar, M., Gonzalez, C. and Dutt, V. (2022). How the Presence of Cognitive Biases in Phishing Emails Affects Human Decision-making? 29th International Conference on Neural Information Processing (ICONIP 2022).
• Gupta, A., Dabas, M., Uttrani, S., & Dutt, V. (2022). Learning from Single and Multi-human intelligence via Cognitive and Reinforcement Learning [Paper presentation]. Advances in Cognitive Systems-2022, Arlington, Virginia, USA.
• Gupta, A., Uttrani, S., Paul, G., Kanekar, B., & Dutt, V. (2022) Multi-human intelligence in Instance-Based Learning. 29th International Conference on Neural Information Processing (ICONIP 2022).
• Semwal, T., Priyanka, P., Kumar, P., Dutt, V., & Uday, K. V. (2022). Predictions of Root Tensile Strength for Different Vegetation Species Using Individual and Ensemble Machine Learning Models. In Trends on Construction in the Digital Era: Proceedings of ISIC 2022 (pp. 87-100). Cham: Springer International Publishing.
• Saini, T., Tomar, G., Rana, D., Attri, S., Chaturvedi, P., Dutt, V. (2022). Cloud IoT for Pollution Monitoring. In Cloud IoT. doi: 10.1201/9781003155577-9.
• Choudhury, A., Kaushik, S., & Dutt, V. (2022). Beyond Influence Maximization: Volume Maximization in Social Networks. In Disease Control Through Social Network Surveillance (pp. 133-155). Springer, Cham.
• Bhargav, S., Choudhury, A., Kaushik, S., Shukla, R., Dutt, V. (2022). A Comparison Study of Abstractive and Extractive Methods for Text Summarization. In: Dua, M., Jain, A.K., Yadav, A., Kumar, N., Siarry, P. (eds) Proceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences. Algorithms for Intelligent Systems. Springer, Singapore.
• Bhargav, S., Kaushik, S., & Dutt, V. (2022). A combination of decision trees with machine learning ensembles for blood glucose level predictions. In Proceedings of International Conference on Data Science and Applications: ICDSA 2021, 2 (pp. 533-548). Springer Singapore.
• Saini T, Chaturvedi P and Dutt, V. (2021) Modelling Particulate Matter Using Multivariate and Multistep Recurrent Neural Networks. Front. Environ. Sci. 9:752318. doi: 10.3389/fenvs.2021.752318.
• Choudhary, G., Rao, A., & Dutt, V. (2021). Does classroom teaching of system dynamics concepts reduce correlation heuristic reliance? A case study from India. In Proceedings of the 39th International System Dynamics Conference. Chicago, Illinois, United States.
• Choudhary, G., & Dutt, V. (2021). Experience in a climate simulator: Influence of probability function and feedback on decisions against climate change. In Proceedings of the 30th Convention of National Academy of Psychology 2020-2021. Kanpur, India - IIT Kanpur.
• Bhargav, S., Kaushik, S., Choudhury, A., & Dutt, V. (2021). Development of a weighted ensemble approach for prediction of blood glucose levels. In Proceedings of the 1st International Conference on Computing and Machine Intelligence (ICMI 2021). Istanbul, Turkey.
• Choudhary, G., & Dutt, V. (2021). Interactive climate change simulator: Influence of probability function and feedback on decisions against climate change. In 7th Annual Conference on Cognitive Science (ACCS-2021).
• Pathania, A., Kumar, P., Singh, R., Chaturvedi, P., Uday, K. V., & Dutt, V. (2020). A Low Cost, Sub-Surface IoT Framework for Landslide Monitoring, Warning, and Prediction. In Proceedings of 2020 International conference on advances in computing, communication, embedded and secure systems. Springer.
• Uttrani, S., Sharma, N., & Dutt, V. (2020). Modeling the Absence of Framing Effect among Indian and US populations in an Experience-based COVID-19 Disease Problem. In 2020 International Conference on Social Computing, Behavioral Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation, George Washington University, Washington DC, USA.
• Rao, A. K., Chandra, S., & Dutt, V. (2020, July). Desktop and Virtual-Reality Training Under Varying Degrees of Task Difficulty in a Complex Search-and-Shoot Scenario. In International Conference on Human-Computer Interaction, 421-439. Springer, Cham.
• Sahoo, D., Sood, N., Rani, U., Abraham, G., Dutt, V., & Dileep, A. D. (2020, July). Comparative Analysis of Multi-Step Time-Series Forecasting for Network Load Dataset. In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT),1-7. IEEE.
• Sharma, N., Uttrani, S., & Dutt, V. (2020). Modeling the Absence of Framing Effect in an Experience-based Covid-19 Disease Problem. In International Conference on Cognitive Modelling. In International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation At: George Washington University, Washington DC, USA. Springer.
• Sharma, N., & Dutt, V. (2020, October). Modeling Decisions from Experience Among Frequent and Infrequent Switchers via Strategy-Based and Instance-Based Models. In International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, 340-349. Springer, Cham.
• Rao, A. K., Chahal, J. S., Chandra, S., & Dutt, V. (2019, December). Virtual-Reality Training Under Varying Degrees of Task Difficulty in a Complex Search-and-Shoot Scenario. In International Conference on Intelligent Human Computer Interaction, 248-258. Springer, Cham.
• Rao, A. K., Chahal, J. S., Chandra, S., & Dutt, V. (2019, December). Virtual-Reality Training Under Varying Degrees of Task Difficulty in a Complex Search-and-Shoot Scenario. In International Conference on Intelligent Human Computer Interaction, 248-258. Springer, Cham.
• Ganesh, P., Kumar, M., & Dutt, V. (2019). How people make mitigation and adaptation decisions against climate change with descriptive or experiential information. In Annual Conference of Cognitive Science 2019, Goa, India.
• Kumar, P., Sihag, P., Pathania, A., Agarwal, S., Mali, N., Singh, R., Chaturvedi, P., Uday, K. V., & Dutt, V. (2019). Predictions of Weekly Soil Movements Using Moving-Average and Support-Vector Methods: A Case-Study in Chamoli, India. In Information Technology in Geo-Engineering: Proceedings of the 3rd International Conference (ICITG), Guimares, Portugal (p. 393). Springer Nature.
• Kumar, P., Sihag, P., Pathania, A., Agarwal, S., Mali, N., Chaturvedi, P., Uday, K. V., & Dutt, V. (2019). Landslide Debris-Flow Prediction using Ensemble and Non-Ensemble Machine-Learning Methods. In Contributions to Statistics: Proceedings of the 6th International Conference on Time Series and Forecasting (ITISE), Granda, Spain. Springer
• Kumar, P., Sihag, P., Pathania, A., Agarwal, S., Mali, N., Singh, R., Chaturvedi, P., Kala, U., & Dutt, V. (2019). Predictions of weekly slope movements using moving-average and neural network methods: A case-study in Chamoli, India. In 9th International Conference on Soft Computing for Problem Solving, Liverpool, UK.
• Singhal, R., Kumar, A., Zafar, S., & Dutt, V. (2019). Predictive models for tool-condition monitoring using statistical approaches. In 6th International Conference on Production and Industrial Engineering, Jalandhar, India.
• Sharma, R., Saini, T., Kumar, P., Pathania, A., Chittineni, K., Chaturvedi, P., & Dutt, V. (2019). An online low-cost system for air quality Monitoring, Predicting and Warning. In 16th International Conference on Distributed Computing and Internet Technology, Odisha, India.
• Rao, A. K., Chahal, J. B., Chandra, S., & Dutt, V. (2019). Virtual-reality training under varying degrees of task complexity in a search-and-shoot scenario. In 11th International Conference on Intelligent Human-Computer Interaction, Allahabad, India.
• Kaushik, S., Choudhury, A., & Dutt, V. (2019). Predicting daily medicine expenditures via a variance-based generative adversarial network. In Women in Machine learning workshop co-located with Neural Information Processing Systems (NeurIPS) 2019, Vancouver, Canada.
• Kumar, M., Agarwal, K., & Dutt, V. (2019). Modeling Decisions in Collective Risk Social Dilemma Games for Climate Change using Reinforcement Learning. In IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), Las Vegas, Nevada, USA.
• Chaturvedi, P., & Dutt, V. (2018, December). Interactive Landslide Simulator: Role of Contextual Feedback in Learning Against Landslide Risks. In International Conference on Intelligent Human Computer Interaction (pp. 170- 179). Springer, Cham.
• Rao, A.K., Dhankar, U., Satyarthi, C., Chandra, S., & Dutt, V. (2018, October). Influence of different field -of-views and base -rates on decision making in a search-and -shoot scenario. In IEEE International Conference on Systems, Man and Cybernetics, Miyazaki, Japan.
• Kaushik, S., Choudhury, A., Dasgupta, N., Natarajan, S., Pickett, L. A., & Dutt, V. (2018, July). Evaluating Frequent-Set Mining Approaches in Machine-Learning Problems with Several Attributes: A Case Study in Healthcare.
In International Conference on Machine Learning and Data Mining in Pattern Recognition (pp. 244-258). Springer, Cham.
• Rao, A. K., Pramod, B. S., Chandra, S., & Dutt, V. (2018, July). Influence of Indirect Vision and Virtual Reality Training Under Varying Manned/Unmanned Interfaces in a Complex Search-and-Shoot Simulation. In International Conference on Applied Human Factors and Ergonomics, 225-235. Springer, Cham.
• Maqbool, Z., Pammi, V. C., & Dutt, V. (2018, March). Cybersecurity: Influence of patching vulnerabilities on the decision-making of hackers and analysts. International Conference on Cyber Situational Awareness, Data Analytics and Assessment (Cyber SA 2018), At Glasgow UK.
• Singal, H., Aggarwal, P., & Dutt, V. (2017, December). Modeling Decisions in Games Using Reinforcement Learning. In Machine Learning and Data Science (MLDS), 2017 International Conference on (pp. 98-105). IEEE.
• Agrawal, K., Agrawal, S., Chaturvedi, P., Mali, N., Kala, V. U., & Dutt, V. (2017) Minute-scale Prediction of Soil Movement using Machine-Learning Techniques. Indian Landslide Congress 2017, At Indian Institute of Technology Bombay, Mumbai
• Rao, A. K., Pramod, B. S., Chandra, S., & Dutt, V. (in press). Influence of Indirect-Vision and Virtual Reality Training under varying manned/unmanned interfaces in a complex underwater search-and-shoot simulation. In the 2018 International Conference on Applied Human Factors and Ergonomics (AHFE 2018). Orlando, Florida.
• Kaushik, S., Choudhury, A., Dasgupta, N., Natarajan, S., Pickett, L. A., & Dutt, V. (2017, December). Using LSTMs for Predicting Patient's Expenditure on Medications. In Machine Learning and Data Science (MLDS), 2017 International Conference on (pp. 120-127). IEEE.
• Rao, A. K., Dhankar, U., Satyarthi, C., Chandra, S., & Dutt, V. (2017, December). Influence of different fields of View on decision-making in a search-and-shoot scenario. In Machine Learning and Data Science (MLDS), 2017 International Conference on (pp. 61-67). IEEE.
• Sharma, N., & Dutt, V. (2017, December). Modeling Choice Variation in Search Strategies with Multi-armed Bandit Problems. In Machine Learning and Data Science (MLDS), 2017 International Conference on (pp. 91-97). IEEE.
• Agrawal, K., Baweja, Y., Dwivedi, D., Saha, R., Prasad, P., Agrawal, S., Kapoor, S., Chaturvedi, P., Mali, N., Kala, V.U. & Dutt, V. (2017, December). A Comparison of Class Imbalance Techniques for Real-World Landslide Predictions. In Machine Learning and Data Science (MLDS), 2017 International Conference on (pp. 1-8). IEEE.
• Kaushal, K. K., Kaushik, S., Choudhury, A., Viswanathan, K., Chellappa, B., Natarajan, S., Pickett, L. & Dutt, V. (2017, December). Patient Journey Visualizer: A Tool for Visualizing Patient Journeys. In Machine Learning and Data Science (MLDS), 2017 International Conference on (pp. 106-113). IEEE.
• Choudhury, A., Kaushik, S., & Dutt, V. (2017, July). Social-Network Analysis for Pain Medications: Influential physicians may not be high-volume prescribers. In Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 (pp. 881-885). ACM.
• Aggarwal, P., Gonzalez, C., & Dutt, V. (2017, June). Modeling the effects of amount and timing of deception in simulated network scenarios. In Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA), 2017 International Conference On (pp. 1-7). IEEE.
• Choudhury, A., Kaushik, S., & Dutt, V. (2017). Data-mining Medications for Pain: Analyzing adoption behavior of physicians and switching behavior of patients. The second International Conference on Internet of Things, Data and Cloud Computing (ICC 2017), At Cambridge, UK.
• Dutt, V., Moisan F., & Gonzalez C. (2016). Role of Intrusion-Detection Systems in Cyber-Attack Detection. 7th International Conference on Applied Human Factors and Ergonomics, Orlando, Florida, USA.
• Chaturvedi, P., Arora, A., & Dutt, V. (2016). Interactive Landslide Simulator: A tool for Landslide Risk Assessment and Communication. 7th International Conference on Applied Human Factors and Ergonomics, Orlando, Florida, USA.
• Aggarwal, P., Gonzalez, C., & Dutt, V. (2016). Cyber-security: Role of Deception in Cyber-Attack Detection. 7th International Conference on Applied Human Factors and Ergonomics, Orlando, Florida, USA.
• Maqbool, Z., Pammi, V., & Dutt, V. (2016). Influence of motivational factors on hackers’ and analysts’ decisions in dynamic security games. 7th International Conference on Applied Human Factors and Ergonomics, Orlando, Florida, USA.
• Aggarwal, P., Gonzalez, C., & Dutt, V. (2016). Looking from the Hacker’s Perspective: Role of Deceptive Strategies in Cyber Security. International Conference On Cyber Situational Awareness, Data Analytics And Assessment (CyberSA 2016), London UK.
• Maqbool, Z., Pammi, V., & Dutt, V. (2016). Cybersecurity: Effect of Information Availability in Security Games. International Conference On Cyber Situational Awareness, Data Analytics And Assessment (CyberSA 2016), London UK.
• Aggarwal, P., Gonzalez, C., & Dutt, V. (2016). Looking from the Hacker's Perspective: Role of Deceptive Strategies in Cyber Security. CyberSA 2016, 10.1109/CyberSA.2016.7503288.
• Chaturvedi, P., & Dutt, V. (2015). Evaluating the Public Perceptions of Landslide Risks in the Himalayan Mandi Town. HFES 2015 International Annual Meeting, Los Angeles.
• Debnath, S., & Dutt, V. (2015). Experience – Description Gap in a Stock Market Investment Game. 2nd Annual Conference on Cognitive Science (ACCS-2015), IIT Kanpur (Kanpur)
• Maqbool, Z., Bandyopadhyay, D., Pammi, V., & Dutt, V. (2015). Role of motivational factors in dynamic security games: A behavioral game-theoretic approach. 2nd Annual Conference on Cognitive Science (ACCS-2015), IIT Kanpur (Kanpur)
• Kumar, M., & Dutt, V. (2015). Free Riders in a Public Goods Game for Climate Change. 2nd Annual Conference on Cognitive Science (ACCS-2015), IIT Kanpur (Kanpur)
• Kumar, M., & Dutt, V. (2015). Understanding Cooperative Behavior against Climate Change through a Public-Goods Game. History, 1(2), 68-71.
• Aggarwal, P., Maqbool, Z., Grover, A., Singh, S., Pammi, V. S. C., & Dutt, V. (2015, June). Cyber Security: A game-theoretic analysis of defender and attacker strategies in defacing-website games. In International IEEE Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA 2015), London, UK (pp. 1-8).
• Sharma, N., & Dutt, V. (2014). Decisions from Experience: Could Models of Aggregate Choice Explain Individual Choices from Information Search? In Paper presented at the 23rd Annual Conference on Behavior Representation in Modeling & Simulation (BRiMS 2014). Washington, DC: USA.
• Sharma, N., & Dutt, V. (2014). Modeling Choices at the Individual Level in Decisions from Information Search. In Paper presented at the 1st Annual Conference on Cognitive Science (ACCS 2014). New Delhi, India.
• Sharma, N., & Dutt, V. (2014). Decisions from Experience: How Models of Aggregate Choices Explain Individual Choices? In Paper presented at the 4th IEEE International Advance Computing Conference. Gurgaon, India.
• Arora, A., & Dutt, V. (2013). Cyber Security: Evaluating the Effects of Attack Strategy and Base Rate through Instance-Based Learning. In Paper presented at the 12th International Conference on Cognitive Modeling. Ottawa, Canada.
• Kaur, A., & Dutt, V. (2013). Cyber Situation Awareness: Modeling the Effects of Similarity and Scenarios on Cyber Attack Detection. In Paper presented at the 12th International Conference on Cognitive Modeling. Ottawa, Canada.
• Kanaparthi, B., Reddy, R., & Dutt, V. (2013). Cyber Situation Awareness: Rational Methods versus Instance-Based Learning Theory for Cyber Threat Detection. In Paper presented at the 12th International Conference on Cognitive Modeling. Ottawa, Canada.
• Gonzalez, C., Ben-Asher, N., Martin, J. M., & Dutt, V. (2013). Emergence of cooperation with increased information: Explaining the process with dynamic adaptation to surprises. In Paper presented at the 15th International Conference on Social Dilemmas. Zurich, Switzerland.
• Ben-Asher, N., Dutt, V., & Gonzalez, C. (2013). Accounting for the integration of descriptive and experiential information in a repeated prisoner's dilemma using an instance-based learning model. In Paper presented at the 22nd Behavior Representation in Modeling & Simulation (BRIMS) Conference. San Antonio, Texas, USA.
• Kaur, A., Dutt, V., & Gonzalez, C. (2013). Modelling the Security Analyst’s Role: Effects of Similarity and Past Experience on Cyber Attack Detection. In Paper presented at the 22nd Behavior Representation in Modeling & Simulation (BRIMS) Conference. San Antonio, Texas, USA.
• Reddy, R., Kanaparthi, B. R., Dutt, V. (2013). Testing The Effects of Recency and Inertia on Cyber Threat Detection Through Instance-Based Learning. In Paper presented at the 3rd IEEE International Advance Computing Conference (IACC-2013). Ghaziabad, India
• Dutt, V.(2012). Information Search in Decisions from Experience: Influence of Variability and Timing on Patterns of Sampling. In Paper presented at the 2012 Annual Convention of National Academy of Psychology (NAOP). Bangalore, India.
• Gonzalez, C., Dutt, V., Martin, J., & Ben-Asher, N. (2012). Decisions from Experience in Conflict Situations: A cognitive model of the effects of interdependence information. In Paper presented at the 2012 Behavioral Decision Research in Management (BDRM) conference. Boulder, Colorado.
• Dutt, V., Young-Suk, A., Ben-Asher, N., & Gonzalez, C. (2012). Modeling the Effects of Base-rates on Cyber Threat Detection Performance. In Paper presented at the 11th International Conference on Cognitive Modeling. Berlin, Germany.
• Mehlhorn, K., Dutt, V., Ben-Asher, N., & Gonzalez, C. (2012). Accumulation of Evidence and Information Search in Experiential Decisions. In Paper presented at the 11th International Conference on Cognitive Modeling. Berlin, Germany.
• Dutt, V., & Gonzalez, C. (2011). Enabling eco-friendly choices by using human psychological biases. In Paper to be presented at the 2011 Society of Risk Analysis Annual Meeting. Charleston, SC, USA.
• Gonzalez, C. & Dutt, V. (2011). Instance-Based Learning: Integrating Sampling and Repeated Decisions from Experience. In Paper to be presented at the 32st Annual Conference of the Society for Judgment and Decision Making. Seattle, WA, USA.
• Arlo-Costa, H., Dutt, V., Gonzalez, C., & Helzner, J. (2011). Decisions from Experience in Conditions of Uncertainty. In Paper presented at Seventh International Symposium on Imprecise Probability: Theory and Applications. Innsbruck, Austria.
• Dutt, V., Yu, M., & Gonzalez, C. (2011). Deciding when to escape a mine emergency: Modeling accumulation of evidence about emergencies through Instance-based Learning. In Paper to be presented at the HFES 55th Annual Meeting. Las Vegas, Nevada, USA.
• Dutt, V., & Gonzalez, C. (2011). Making Instance-based Learning Theory Usable, Transparent, and Understandable: Instance-based Learning Tool. In Demonstration to be presented at the HFES 55th Annual Meeting. Las Vegas, Nevada, USA.
• Dutt, V., Young-Suk, A., & Gonzalez, C. (2011). Cyber Situation Awareness: Modeling the Security Analyst in a cyber-attack scenario through Instance-based Learning. In Paper presented at the 25th Annual WG 11.3 Conference on Data and Applications Security and Privacy (to appear in Lecture Notes in Computer Science 6818 (LNCS 6818), Springer). Richmond, VA, USA.
• Gonzalez, C., Dutt, V., & Martin, J. (2011). Instance-Based Learning Model of a Continuum of Social Information in Conflict Situations. In Paper presented at the 2011 International Conference on Behavioral Decision Making. Herzliya, Israel.
• Dutt, V., & Gonzalez, C. (2011). Reducing the Linear Perception of Nonlinearity: Use of a Physical Representation. In Paper presented United States Society for Ecological Economics Conference. East Lansing, Michigan, USA.
• Dutt, V., Martin, J., & Gonzalez, C. (2011). Modeling Social Information In Conflict Situations Through Instance-Based Learning Theory. In Poster presented at the 33rd annual meeting of the Cognitive Science Society. Boston, Massachusetts, USA.
• Dutt, V. (2011). Why Do We Want to Delay Actions on Climate Change? Effects of Probability and Timing of Climate Consequences. In Paper presented at Princeton Graduate Student Conference on Psychology and Policymaking. Princeton, NJ, USA.
• Dutt, V. (2011). Why Do We Want to Delay Actions on Climate Change? Effects of Probability and Timing of Climate Consequences. In Paper presented at the 4th Annual Graduate Student Appreciation Week “Impact with Innovation Exhibition.” Pittsburgh, PA, USA.
• Dutt, V., Cassenti, D. N., & Gonzalez, C. (2011). Modeling a Robotics Operator Manager in a Tactical Battlefield. In Paper presented at the IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support. Miami Beach, FL, USA.
• Dutt, V., Young-Suk, A., & Gonzalez, C. (2011). Cyber Situation Awareness: Modeling the Security Analyst in a cyber-attack scenario through Instance-based Learning. In Poster presented at the 20th Behavior Representation in Modeling & Simulation (BRIMS) Conference. Sundance Resort, Utah, USA.
• Gonzalez, C., & Dutt, V. (2011). Instance-based Learning Tool: Making Instance-based Learning Theory Usable, Transparent, and Understandable. In Tutorial presented at the 20th Behavior Representation in Modeling & Simulation (BRIMS) Conference. Sundance Resort, Utah, USA.
• Cassenti, D. N., Dutt, V., Gonzalez, C., Pomranky, R., & Hunn, B. (2011). Defining a Robotics Operator Manager’s Responsibilities Using ACT-R. In Paper presented at the 20th Behavior Representation in Modeling & Simulation (BRIMS) Conference. Sundance Resort, Utah, USA.
• Lejarraga, T., Dutt, V., & Gonzalez, C. (2010). Instance-based Learning in Repeated Binary Choice. In Paper presented at the 31st Annual Conference of the Society for Judgment and Decision Making. St. Louis, MO, USA.
• Gonzalez, C. & Dutt, V. (2010). Instance-based Learning: Integrating Decisions from Experience in Sampling and Repeated Choice Paradigms. In Paper presented at 2010 Experience, heuristics, and choice: Prospects for bounded rationality workshop at Carnegie Mellon University. Pittsburgh, PA, USA.
• Arlo-Costa, H., Gonzalez, C., Dutt, V., & Helzner, J. (2010). Decisions from Experience in Conditions of Uncertainty. In Paper presented at 2010 Experience, heuristics, and choice: Prospects for bounded rationality workshop at Carnegie Mellon University. Pittsburgh, PA, USA.
• Dutt, V., & Gonzalez, C. (2010). Physical Representation and Linear Thinking on Climate Change. In Paper presented at the 2010 Society of Risk Analysis Annual Meeting. Salt Lake City, Utah, USA.
• Gonzalez, C., & Dutt, V. (2010). Instance-based Learning Models of Training. In Paper presented at the 54th Annual Meeting of the Human Factors and Ergonomics Society. San Francisco, CA, USA.
• Proctor R.W., Yamaguchi, M., Gonzalez, C., & Dutt, V. (2010). Spatial Compatibility Effects in a Complex Task Environment. In Paper presented at the 2010 American Psychological Association Convention. San Diego, CA, USA.
• Walter, W., Dutt, V., Gluck, K., & Reitter, D. (2010). Results and Lessons Learned from the 2009 DSF Modeling Comparison Challenge. In Symposium presented at the 2010 Behavioral Representation in Modeling Simulation conference. Charleston, SC, USA.
• Dutt, V., & Gonzalez, C. (2009). Human Control of Climate. In Poster presented at the 2009 Summer Institute on Bounded Rationality. Berlin, Germany.
• Dutt, V., & Gonzalez, C. (2009). Climate Risk Communication: A Cure for People’s Mental Models. In Paper presented at the 2009 Society of Risk Analysis Annual Meeting. Baltimore, MD.
• Lebiere, C., Gonzalez, C., Dutt, V., Warwick, W. (2009). Predicting cognitive performance in open-ended dynamic tasks a modeling comparison challenge. In Symposium at 2009 9th International Conference on Cognitive Modeling. Manchester: UK.
• Gonzalez, C., Dutt, V., Healy, A., Young, M. & Bourne, L. (2009). Comparison of instance and strategy models in ACT-R. In A. Howes, D. Peebles, R. Cooper (Eds.), 9th International Conference on Cognitive Modeling – ICCM2009, Manchester, UK.
• Dutt, V., Yamaguchi, M., Gonzalez, C., & Proctor, R. (2009). An Instance-Based Learning Model of Stimulus-Response Compatibility Effects in Mixed Location-Relevant and Location-Irrelevant Tasks. In Poster presented at 2009 9th International Conference on Cognitive Modeling. Manchester: UK.
• Dutt, V., & Gonzalez, C. (2009). A Model of Human Perceptions of Climate Change. In Paper presented at American Society for Engineering Education (ASEE) Spring 2009 Northeast Conference. Bridgeport, CT.
• Dutt, V., & Gonzalez, C. (2009). How do we perceive carbon-dioxide lifetimes? In Paper presented at USSEE 2009 Conference. Washington D.C., MD.
• Dutt, V., & Gonzalez, C. (2009). Human "Mis"- perceptions of Climate Change. In Paper presented at the HFES 53rd Annual Meeting. San Antonio, TX.
• Dutt, V., & Gonzalez, C. (2008). Human Perceptions of Climate Change. In Paper presented at the 26th International Conference of the System Dynamics Society. Athens, Greece.
• Dutt, V., & Gonzalez, C. (2008). Human Perceptions of Climate Change. In Paper presented at the 3rd Annual - Student Industrial Ecology Conference, University of Pittsburgh – Benedum Hall, Kresge Auditorium Rm. 1175, Pittsburgh, PA.
• Dutt, V., & Gonzalez, C. (2008). Human Perceptions of Climate Change. In Paper presented at the 2008 American Psychological Association Convention’s Symposium Decision Making in Dynamic and Complex Environments. Boston, MA, USA.
• Dutt, V., & Gonzalez, C. (2008). Instance and strategy based models in ACT-R. In Proceedings of 2008 Modeling, Simulation & Gaming (MS&G) Student Capstone Conference (pp. 19). Suffolk, VA: ODU-VMASC.
• Dutt, V., & Gonzalez, C. (2008). Instance and Strategy ACT-R models of choice in a dynamic control task: a model comparison story. Proceedings of 2008 Fifteenth Annual Workshop and Summer School (pp. 43). Pittsburgh, PA: ACT-R RESEARCH GROUP.
• Dutt, V., & Gonzalez, C. (2008). Risk Perceptions of Climate Change. In Paper presented at the 2008 Society of Risk Analysis Annual Meeting. Boston, MA.
• Young, M. D., Healy, A. F., Gonzalez, C., Dutt, V., & Bourne, L. E., Jr. (2008). Effects of training with added relevant responses on RADAR detection. The Experimental Psychology Society and the Psychonomic Society, Chicago, IL.
• Dutt, V., & Gonzalez, C. (2007). Slope of inflow impacts dynamic decision making. In Paper presented at the 25th (2007) International Conference of the System Dynamics Society. Boston, MA, USA.
• Gonzalez, C., & Dutt, V. (2007). Learning to control a dynamic task: A system dynamics cognitive model of the slope effect. In Paper presented at the 8th International Conference on Cognitive Modeling, Ann Arbor, MI, 26th July 2007, 61-66.
• Dutt, V., Schmerl, B., & Garlan, D. (Unpublished). Discovering Communication Protocols between Software Elements (runtime objects) in Software Architectures. Part of Independent Study taken when pursuing Master's in Software Engineering, Carnegie Mellon University, Pittsburgh, PA.
• Dutt, V. & Kumar, S. (2006). Learning Transistor Characteristics using Neural Networks. Published in ECCS 2006. Patiala, India.
• Dutt, V. & Thiagaraj, V. (2005). The Concept of Classification in Data Mining using Neural Networks. Published in NCBC 2005. Patiala, India.

Editorship

• Editorial Board Member, Journal of Dynamic Decision Making: https://journals.ub.uni-heidelberg.de/index.php/jddm
• Lead Guest Editor, Special Collection on IoT and Landslides, https://journals.sagepub.com/page/dsn/collections/special-issues/iot-and-landslides
• Associate Editor, Highlights in Psychology for Clinical Settings: Military Personnel and Veteran Mental Health, https://www.frontiersin.org/research-topics/45845/
• Associate Editor, Frontiers in Cognitive Science journal: http://loop.frontiersin.org/people/48650/overview
• Review Editor, Frontiers in Neuroscience journal: http://loop.frontiersin.org/people/48650/overview
• Editor, Special Issue on “Human decision-making in combat situations involving traditional and immersive visual technologies” in Frontiers in Psychology (Cognitive Science)
• Editor, Special Issue on “Adversarial Cybersecurity” in Cybersecurity (Springer)
• Editor, Special Issue on “Applications of Cognitive Approaches to Cyber Security” in Frontiers in Cognitive Science journal.
• Lead Author for Chapter 2 on “Integrated Risk and Uncertainty Assessment of Climate Change Response Policies” in Intergovernmental Panel on Climate Change (IPCC)’s 5th Assessment Report (AR5): http://mitigation2014.org/contributor/chapter-2
• Knowledge Editor, English Financial Daily, Financial Chronicle: http://www.mydigitalfc.com/

Advising Student Projects

• Project Name: Investigating the effect of Zen Meditation on Experienced and Novice Meditators.
  Student: Sakshi Chauhan, Sahil Sankhyan, Kirti
• Project Name: Exploring the moral retention of storytelling in between group
  Student: Sakshi Chauhan
• Project Name: Phishing Attack Detection via ML and Cognitive algos and its comparison to human data.
  Student: Aditya Kumar, Megha Sharma
• Project Name: Replicating Human Cognitive Behavior on Robots Models using ACT-R Cognitive Architecture for Search-and-Retrieve Mission in Virtual Environments.
  Students: Ravi Pratap Yadav, Aadhar Gupta, Shashank Kapoor
• Project Name: Human Cognitive Enhancement via tDCS and Performance forecasting via Machine Learning
  Students: Harsh Gahlot, Akash Rao, Vishnu K Menon
• Project Name: Examining the effect of 360 VR video surrounding on efficacy of mantra meditation.
  Students: Srijan Singh, Durgesh Ameta
• Project Name: Calculating the Evaporation potential of the soil through Machine Learning
  Students: Sucheta Panda, Praveen Kumar
• Project Name: Generative Adversarial Networks Model for Soil Movement Prediction
  Student: Vasu Gupta; Vyom Goel
• Project Name: Evaluating the effectiveness of deception technology against different types of cyber-attacks in a deception game
  Student: Yashika Baan
• Project Name: Amalgamating cognitive and reinforcement learning models for replicating cognitive behavior for UGV-based search-and-rescue operations in a virtual environment
  Student: Saransh Jain, Ashwin Ginoria
• Project Name: Multi-step forecasting of pollutant parameters using multivariate data
  Student: Vinayak Gupta
• Project: Development of machine-learning models for glucose predictions from differential equation models.
  Student: Aashima
• Project: Development of machine-learning models for accelerometer vibration analyses.
  Student: Sanchit Yadav
• Project: Development of machine-learning models on soil movement predictions.
  Student: Pavan and Raj Kumar
• Project: Development of machine-learning models on air-pollution predictions.
  Student: Suraj
• Project: AI models of exploration in VR-based built environments.
  Student: Aditya Arora and Aman Saxena
• Project: Development of time-series models for glucose predictions from differential equation models.
  Student: Mukul and Karan (graduated)
• Project: Development of machine-learning models for air-quality predictions.
  Student: Gagandeep Tomar (graduated)
• Project: Development of machine-learning models for soil movement predictions.
  Student: Bharat Lodhi (graduated)
• Project: Decision-making in cybersecurity games.
  Student: Suryavanshi (graduated)
• Project: Decision-making in climate change games.
  Student: Sylvia Mittal (graduated)
• Project: Investigating deep-learning models to forecast healthcare-related expenditures.
  Student: Pankaj Sheoran (graduated)
• Project: Applying deep-learning to predict debris-flow at Tangni landslide on NH-58.
  Student: Abhijeet Sharma (graduated)
• Project: Tool health monitoring using IoT and machine-learning.
  Student: Rushil Singhal and Amit (graduated)
• Project: Developing a real-time cyber-security environment for studying deception in the laboratory.
  Student: Aksh and Vaibhav (graduated)
• Project: Development of signalling system for narrow roads.
  Student: Maeghel Puri, Partik Rajput and Anindya (graduated)
• Project: Patient Finder Application.
  Student: Amod Kumar Choudhary and Vinay Goel (graduated)
• Project: Patient Journey Application.
  Student: Saksham Bathla and Kapardi Trivedi (graduated)
• Project: Modeling Human Decisions in Games using AI Strategies.
  Student: Himanshu Singal (graduated)
• Project: Developing IVD, VR and AR defense applications in Unity.
  Student: Priyanka (graduated)
• Project: Efficient query and visualization of big data.
  Student: Kulendra Kaushal and Shivansh Sapra (graduated)
• Project: Evaluating different road traffic scenarios in a Computer-Based game.
  Student: Sandesh Kumar Singh and Kumar Mehta (graduated)
• Project: Development of a realistic battle scenarios.
  Student: Jibraan Singh (graduated)
• Project: Emotion-based Social Networking App for Android.
  Student: Chinmay Krishna (graduated)
• Project: Investigating human understanding of Climate Change via Dynamic Climate Change Simulator.
  Student: Afser Reza and Rishab Sahu (graduated)
• Project: When Cyber Attacker Plays Nash equilibrium in Dynamic Security Game.
  Student: Nidhi Manoj Makhijani (graduated)
• Project: Effect of environmental and human conditions and human driving behavior.
  Student: Vinod Kumar (graduated)
• Project: Cognition in an IVD environment.
  Student: Chandan Satyarthi, B. Tech. CSE (graduated)
• Project: Affective, Expressive, and Cognitive Decision Making through Emotiv Epoc
  Student: Mahesh Yadav, Khushali Modi, Divya Goyal (graduated)
• Project: ACT-R Models of Driving Behavior
  Student: Ajay Kumar, Jai Prakash (graduated)
• Project: Cyber Situation Awareness: Game Theoritic Analysis of Cyber Attacks
  Student: Saumya Singh, Antra Grover (graduated)
• Project: Cyber Situation Awareness: Testing the Effects of Similarity and Attack Strategy on Cyber Attack Detection
  Student: Amanjot Kaur(graduated)
• Project: Cyber Situation Awareness: Testing the Effects of Tolerance and Attack Strategy on Cyber Attack Detection
  Student: Aman Arora (graduated)
• Project: Cyber Situation Awareness: Testing the Effects of Recency and Inertia on Cyber Attack Detection
  Student: Ramakrishna Reddy and Basava Kanaparthi, 4th year, B. Tech. CSE (graduated)
• Project: Effects of feedback, social norms, and competition on energy conservation behavior
  Student: Ishansh Singh, Shammas Mohyaddin, Sunanda Yadav, 4th year, B. Tech. EE (graduated); Devang Moyal, 4th year, B.Tech. CSE (graduated)
• Project: Decisions from experience in sampling: Sampling strategies, sample size, and final choice
  Student: Pankaj Sharma, Nikhil Kumar Gupta, Ashish Gupta, 4th year, B. Tech. CSE (graduated)
• Project: Charting Indigenous Populations in the World (co-advising with Prof. Rajeshwari Dutt)
  Student: Devinder Yadav, Shekhar Solanki, 4th year, B. Tech. CSE (graduated)
• Project: Archiving the history of IIT, Mandi (co-advising with Prof. Rajeshwari Dutt)
  Student: Nishant Goyal, Divya Gandhi, 4th year, B. Tech. CSE (graduated)

• IEEE/ACM Conferences
• Computer-Human Interaction (CHI) Conference
• International Conference on Cognitive Modeling
• Cognitive Science Conference
• Journal of Dynamic Decision Making
• Journal of Behavioral Decision Making
• Journal of Environmental Psychology
• Global Environment Change
• System Dynamics Review
• Organizational Behavior and Human Decision Processes
• Journal of Cognitive Engineering and Decision Making
• Cognitive Systems Research
• Environmental Science & Policy
• Information Fusion
• Frontiers in Decision Neuroscience
• Frontiers in Cognitive Science

• Senior member of Institute of Electrical and Electronics Engineers (IEEE), Inc, USA (www.ieee.org)
• Member of System Dynamics Society (SDS), USA (www.systemdynamics.org)
• Member of Society of Risk Analysis (SRA), USA (www.sra.org)
• Member of Division 34 [Population and Environmental Psychology], American Psychological Association, USA (www.apa.org/divisions/div34)
• Member of Society of Judgment and Decision Making, USA (www.sjdm.org)

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