Aditya Nigam

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

Conducting tutorial (Jointly with Dr Arnav Bhasar ) on "Contemporary Deep Learning Models and their Applications" in conjuction with 18th Computer Analysis of Images and Patterns (CDLMA@CAIP2019) at Salerno, Italy from 3rd-5th September

International Workshop on Deep Learning and its Application (IWADL2019) at IIT Mandi from 1st to 5th July 2019

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 [2019-20] (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.

Contacts

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