Aditya Nigam

Assistant Professor (C)
School of Computer Science and Electrical Engineering (SCEE)
Indian Institute of Technology Mandi

International Workshop on Deep Learning and its Application (IWADL2018) at IIT Mandi from 16th to 20th July 2018

Recent Publications

"Single-sensor hand-vein multimodal biometric recognition using multiscale deep pyramidal approach : Shruti Bhilare, Gaurav Jaswal, Vivek Kanhangad and Aditya Nigam" accepted in the Journal of Machine Vision and Applications [Impact Factor: 1.306] MVA-2018

"All-Conv Net for Bird Activity Detection-Significance of Learned Pooling : Arjun Pankajakshan, Anshul Thakur, Daksh Thapar, Padmanabhan Rajan and Aditya Nigam" accepted in INTERSPEECH-2018

"MR-SRNET: Transformation of lo field MR images to high filed MR images: Prabhjot, Aditya, Arnav" accepted in ICIP-2018

"Association Learning based Long Short Term Memory Model for Cloud Workload Prediction: Siddhant, Neha, Shaifu, Dileep" [ORAL] accepted in IJCNN-2018

"GHCLNet: A Generalized Hierarchically tuned Contact Lens detection Network: Avantika Singh" accepted in ISBA-2018

"DeepPalm - A Unified Framework for Personal Human Authentication: Gaurav Jaswal" accepted in SPCOM-2018@IISc

"VGR-Net: A View Invariant Gait Recognition Network: Daksh Thapar" accepted in ISBA-2018

Tutorial Slides: The Journey from Shallow to Deep Learning at NCVPRIPG2017 [Click here].

[NOTE] The above tutorial has been created by collecting material from several online resources. All the copyrights are with the respective authors.

CS671: Course on Deep Learning and its Application [2017-18] (Click here)

Recent Research Work

sample image I have received my Masters (M.Tech) and Doctoral (Ph.D) degrees from Indian Institute of Technology Kanpur in 2009 and 2014 respectively. Presentely I am working as an Assistant Professor at IIT Mandi, HP in the School of Computing and Electrical Engineering (SCEE). I have joined this School during August 2014 as a Teaching Fellow. I am working in the area of Biometrics, Image Processing, Computer Vision and Machine Learning. I am looking for self motivated MS, Ph.D students willing to work in my research domain as mentioned below.

Research Interests

Deep Learning, Biometrics, Medical Image Processing & its Analysis, Image Processing, Computer Vision & Machine Learning.


Office: Room No : 206, Academic Building A4 in Kamand, School of Computing and Electrical Engineering (SCEE), Indian Institute of Technology Mandi, (HP) INDIA, PIN: 175005
Phone: +91-1905-267152
E-mail: aditya[at]iitmandi[dot]ac[dot]in