Dr. Dinesh Singh Assistant Professor School of Computing and Electrical Engineering Indian Institute of Technology Mandi Mandi, Himachal Pradesh - 175 005, INDIA. Email: dineshsingh [ AT ] iitmandi [ DOT ] ac [ DOT ] in Telephone:

Bio:

Dinesh Singh is an Assistant Professor in School of Computing and Electrical Engineering, Indian Institute of Technology Mandi. Prior to joining IIT Mandi, He worked in High-dimensional Statistical Modeling Team with Prof. Makoto Yamada as a Postdoctoral Researcher at the RIKEN Center for Advanced Intelligence Project (AIP), Kyoto University Office, Japan. He completed his Ph.D. degree in Computer Science and Engineering from IIT Hyderabad under the supervision of Prof. C. Krishna Mohan on Scalable and Distributed Methods for Large-scale Visual Computing. He received his M.Tech degree in Computer Engineering from NIT Surat where he worked with Prof. Dhiren R. Patel on machine learning approaches for network anomaly and intrusion detection in the domain of cybersecurity and cloud security.

Academic & Research Experience:

• Sep 2022 - Present, Assistant Professor, SCEE, IIT Mandi, India
• Feb 2019 - Aug 2022, Postdoctoral Researcher, RIKEN AIP, Japan

Talks

• Dec 2023: Shallow to Deep Learning on Graphs, Invited Talk, 3rd International Research Workshop on Advances in Deep Learning and Applications (WADLA 3.0), Dec 11-13, 2023, Organized by IIIT Sri City, Andhra Pradesh, India
• Aug 2023: Shallow to Deep Learning on Graphs, Invited Talk, Deep Bioinformatics Boot Camp-2023, Aug 28-30, 2023, Organized by The Himalayan Centre for High-throughput Computational Biology (HiCHiCoB) a BIC of DBT, Govt. of India at CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, India
• Nov 2022: Approximate Curvature for Stochastic Optimization, Invited Talk, A 3-Day Workshop on Emerging Technologies in Computer Science, Nov 22-24, 2022, RGUKT Nuzvid, Andhra Pradesh, India
• Oct 2022: Nys-Newton: Nyström-Approximated Curvature for Stochastic Optimization, Invited Talk, INCAPS - 2nd Indo-Norway Workshop on Smart Sensing, Communication and Machine Learning for Autonomous and Cyber Physical Systems, Oct 14-16, 2022, IIT Hyderabad

Awards and Honors

• DST SERB International Travel Support for IEEE IJCNN 2023, Gold Cost, Queensland, Australia
• Won first prize in the 8th IDRBT Doctoral Colloquium held on December 7, 2018
• IEEE BigData 2018 Travel Award to attend and present paper at IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, Washington, USA
• HiPC Travel Grant to attend IEEE International Conference on High Performance Computing, Data, and Analytic (IEEE HiPC 2017), Jaipur, India
• MHRD Travel Grant to attend and present paper at IEEE International Conference on Machine Learning and Applications (IEEE ICMLA'16), Anaheim, California, USA
• VLDB Travel Grant to attend International Conference on Very Large Data Bases (VLDB 2016), New Delhi, India
• Microsoft Research India Travel Grant to attend and present paper at IEEE Congress on Evolutionary Computation (IEEE CEC 2016), Vancouver, Canada

Teaching:

• Even 2024: CS673 - Advanced Computer Vision
• Even 2024: IC253 - Data Structure and Algorithms
• Odd 2023: EE511 - Computer Vision
• Even 2023: CS202 - Data Structure and Algorithms

Research Group: Visual Intelligence and Machine Learning (VIML)

PhD:

• Ravi Sankar Prasad, Ph.D Student (Aug 2023 - )
• Nandini Sharma, Ph.D Student (Feb 2023 - )
• Anandita Jamwal, Ph.D Student (Feb 2023 - ), Co-Supervised with Dr. Rohit Saluja
• Vandita Dutt, Ph.D Student (Feb 2023 - ), Co-Supervised with Dr. Rohit Saluja

M. Tech by Research:

• Avinash, M. Tech by Research (Jan 2024 - )
• Rohit Kumar Srivastava, M. Tech by Research (Jan 2024 - )
• Sagnik Ghosh, M. Tech by Research (Aug 2023 - ) Co-Supervised with Dr. Varun Dutt and Dr. Arnav Bhavsar

M. Tech Thesis (PGP):

• Madhumita Guha, M. Tech (CSP) (Aug 2023 - )

B. Tech Projects (MTP):

• Vivek Jaiswal, B. Tech (DSE) (Aug 2023 - )
• Aryan Ali, B. Tech (DSE) (Aug 2023 - )

Project Staff:

• Sagnik Ghosh, Project Assistant-I (Sep 2023 - Jan 2024)
• Avinash, Project Assistant-I (Jul 2023 - Jun 2025)

Interns:

• Winter 2023 - Arpan Jain - IISER Bhopal, Soumyajit Basu - IIIT Una, Anshal Upmanyu, Manat Patial - UIT-HPU Shimla, Ambika, Pranay, Sajan - HPTU Hamirpur, Dipanshu - SMVDU Katra
• Summer 2023 - Pranay, Sajan - HPTU Hamirpur, Simran - IIT Mandi, Yash Gupta - IISER Bhopal, Prakhar Jain - MBM University Jodhpur, Janam Rameshkumar Khandelwal - NIT Tiruchirappalli, Harshita Batra, Ankit Kumar Rai - Chitkara University Rajpura
• Winter 2022 - Shagun Bhatt, Shreya, Mousumi Biswas - NIT Srinagar

Sponsored Project:

1. 2024-2024 - Product validation and technical sanction of IoT &Al based flood forecasting and alert system - Role: Co-PI - Sponsoring Agency: Veloce Techinsights Private Limited - Budget: ₹0.8M
2. 2023-25 - Visual big data analytics: large-scale computer vision for security and road safety in smart city - Role: PI - Sponsoring Agency: Seed Grant, IIT Mandi - Budget: ₹4.5M
3. 2023-25 - Developing AI-based cognitive function enhancement app by applying Artificial intelligence and biomarker profiling - Role: Co-PI - Sponsoring Agency: iHub & HCI Foundation IIT Mandi - Budget: ₹8.7M
4. 2023-25 - Integration of Digital Olfaction with a Mobile Phone and Television - Role: Co-PI - Sponsoring Agency: iHub & HCI Foundation IIT Mandi - Budget: ₹10.7M
5. 2022-23 - AI based Multimodal Inspection for Defect Detection - Role: Co-PI - Sponsoring Agency: Hitachi India Pvt. Ltd. - Budget: ₹3.2M

Patents:

1. Feb 2024: Debaditya Roy, Dinesh Singh, C. Vishnu, and C. Krishna Mohan "Method and System for Detection of Crime Events in Surveillance Videos," Indian Patent No: 516052
2. Dec 2022: C. Krishna Mohan, Dinesh Singh, C. Vishnu, and Debaditya Roy "A Method and System for Real-time Detection of Traffic Violation by Two-wheeled Riders," Indian Patent No: 414669
3. Nov 2022: Dinesh Singh, C. Vishnu, Debaditya Roy, and C. Krishna Mohan "Method and System for Detection of Accident in Traffic Surveillance Videos," Indian Patent No: 410755

Preprints:

1. Hardik Tankaria, Dinesh Singh, Makoto Yamada, "Nys-Newton: Nyström-Approximated Curvature for Stochastic Optimization," arXiv preprint arXiv:2110.08577

Selected Publications:

Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Yi Chang "GraphLIME: Local interpretable model explanations for graph neural networks," IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol.35, No.7, pp.6968-6972, July 2023 paper, code, data
Dinesh Singh, Hector Climente-Gonzalez, Mathis Petrovich, Eiryo Kawakami and Makoto Yamada "FsNet: Feature Selection Network on High-dimensional Biological Data," International Joint Conference on Neural Networks (IJCNN), Gold Coast, Queensland, Australia, Jun 2023 paper, code, data
Dinesh Singh "Graph Representation for Weakly-Supervised Spatio-Temporal Action Detection," International Joint Conference on Neural Networks (IJCNN), Gold Coast, Queensland, Australia, Jun 2023 paper, code, data
Dinesh Singh, C. Vishnu, and C. Krishna Mohan "Real-Time Detection of Motorcyclist without Helmet using Cascade of CNNs on Edge-device," IEEE Intelligent Transportation Systems Conference (IEEE ITSC 2020) paper, code, data
Dinesh Singh and C. Krishna Mohan "Deep Spatio-Temporal Representation for Detection of Road Accident using Stacked Autoencoder," IEEE Transactions on Intelligent Transportation Systems (T-ITS), Vol.20, No.3, pp.879-887, Mar 2019 paper, code, data
Dinesh Singh and C. Krishna Mohan "Projection-SVM: Distributed Kernel Support Vector Machine for Big Data using Subspace Partitioning," IEEE International Conference on Big Data (Big Data), Seattle, Washington, USA, Dec 2018 paper, code, data
Dinesh Singh, Abhijeet Bhure, Sumit Mamtani, and C. Krishna Mohan "Fast-BoW: Scaling Bag-of-Visual-Words Generation," British Machine Vision Conference (BMVC), Newcastle upon Tyne, UK, Sep 2018, paper, code, data
C. Vishnu, Dinesh Singh, C. Krishna Mohan and Ch. Sobhan Babu "Detection of Motorcyclists without Helmet in Videos using Convolutional Neural Network," International Joint Conference on Neural Networks (IJCNN), Anchorage, Alaska, USA, May 2017 paper, code, data
Dinesh Singh and C. Krishna Mohan "Graph Formulation of Video Activities for Abnormal Activity Recognition," Pattern Recognition, Vol.65, pp.265-272, May 2017 paper, code, data
Dinesh Singh, Debaditya Roy, and C. Krishna Mohan "DiP-SVM: Distribution Preserving Kernel Support Vector Machine for Big Data," IEEE Transactions on Big Data, Vol.3, No.1, pp.79-90, Jan-Mar 2017 paper, code, data
Dinesh Singh, C. Vishnu, and C. Krishna Mohan "Visual Big Data Analytics for Traffic Monitoring in Smart City," IEEE International Conference on Machine Learning and Applications (ICMLA), Anaheim, California, USA, Dec 2016 paper, code, data
Nazil Perveen, Dinesh Singh, and C. Krishna Mohan "Spontaneous Facial Expression Recognition: A Part Based Approach," IEEE International Conference on Machine Learning and Applications (ICMLA), Anaheim, California, USA, Dec 2016 paper, code, data
Dinesh Singh and C. Krishna Mohan , "Distributed Quadratic Programming Solver for Kernel SVM using Genetic Algorithm," IEEE Congress on Evolutionary Computation (IEEE CEC), Vancouver, Canada, Jul 2016 paper, code, data
Kunal Dahiya, Dinesh Singh, and C. Krishna Mohan, "Automatic Detection of Bike-riders without Helmet using Surveillance Videos in Real-time," International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, Jul 2016 paper, code, data
Dinesh Singh, Dhiren Patel, Borishaniya Bhavesh, and Chirag Modi "Collaborative IDS Framework for Cloud," International Journal of Network Security, Vol.18, No.4, PP.699-709, Jul 2016 paper, code, data

Professional Services:

• PC Member, ACML 2020
• PC Member, ECML-PKDD 2020
• Session Chair, IEEE BigData 2018
• Reviewer for Journals: TPAMI, TBDATA, TMM, TNNLS, T-IFS, TSP, TEVC, T-ITS, Neurocomputing, MLJ, Neural Network
• Reviewer for Conferences AAAI, ACML, AISTATS, CVPR, ECML-PKDD, ICCV, ICLR, ICML, IJCAI, IEEE ITSC, ISMB/ECCB, NeurIPS