Dr Vikas Chauhan
Assistant Professor (Grade-II)
| Department of Information Technology
Dr. B. R. Ambedkar National Institute of Technology, Jalandhar
Punjab
Expertise:
Computer Science Artificial Intelligence
9
Publications
1
Projects
69
Scopus Citations
61
CrossRef
2 Years 9 Months Total Experience
Scopus
69
Citations
5
h-index
CrossRef
61
Citations
4
h-index
Google Scholar
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Professional Recognition
Offered European Research Consortium for Informatics and Mathematics (ERCIM) postdoc Fellowship
2023
ERCIM
National Eligibility Test
2016
University Grants Commission of India
National Eligibility Test
2017
University Grants Commission of India
Community & Membership
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Soft Computing Research Society India
Lifetime MemberInstitute of Electrical and Electronics Engineers (IEEE)
PrefessionalPersonal Details
Doctor of Philosophy
2022
Indian Institute of Technology, Mandi
Master of Technology
2016
CENTRE FOR ADVANCED EDUCATION INSTITUTE OF MANAGEMENT TECHNOLOGY
Bachelor of Technology
2011
N/A
Assistant Professor (Grade-II)
Dec 2024 – Present
Dr. B. R. Ambedkar National Institute of Technology, Jalandhar
| Department of Information Technology
Assistant Professor (Grade-II)
Aug 2024 – Dec 2024
Indian Institute of Information Technology, Design and Manufacturing, Jabalpur
| Department of Computer Science and Engineering
Assistant Professor
Dec 2022 – Jul 2023
Bennett University, Greater Noida
| Computer Science Engineering and Technology
Engineering and Technology
Scholarly Work
Deep Learning based Image Plant Phenotyping for Agricultural Crops
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Scholarly Publications
Real-time BigData and Predictive Analytical Architecture for healthcare application
Multi-Label classifier based on Kernel Random Vector Functional Link Network
On the Construction of Hierarchical Broad Learning Neural Network: An Alternative Way of Deep Learning
MAAD-GAN: Memory-Augmented Attention-Based Discriminator GAN for Video Anomaly Detection
Tackling over-smoothing in multi-label image classification using graphical convolution neural network
Open AccessVideo Anomaly Latent Training GAN (VALT GAN): Enhancing Anomaly Detection Through Latent Space Mining
Pairnorm based Graphical Convolution Network for zero-shot multi-label classification
Multi-label classifier for protein sequence using heuristic-based deep convolution neural network
Showing 1 to 8 of 9 publications