Vikas Chauhan
विकास चौहान
Assistant Professor
Department of Information Technology
National Institute of Technology Jalandhar

Email:

Journal publications

  1. Sapna, Himanshu Gauttam, Vikas Chauhan, KK Pattanaik, Aditya Trivedi, and Hrishita Ghosh A comprehensive review of Edge Computing empowered smart agriculture: Trends, Opportunities and Future directions, Computers and Electronics in Agriculture, Elsevier, (241), 111252, (2026)
  2. Shalu Goyal, Swati Rani, Ved Prakash Meena, Ritika Hassija Narula, Subhash Kaushik, Anil Kumar Nain, Vikas Chauhan, Sweta Singh, Sheetal Budhiraja, and Rakesh Kumar Sharma, Spectroscopy, acoustics, and AI-based studies of nanoparticles formed from ultra-diluted homoeopathic medicines, Results in Chemistry, Elsevier, 103023, (2026)
  3. Vikas Chauhan, Aruna Tiwari, and Arun Kumar, An attention mechanism-based hybrid TimeAttentionBiLSTM architecture for long-term traffic forecasting, The Journal of Supercomputing, Springer, 81 (13), 1257 (2025)
  4. Vikas Chauhan, Aruna Tiwari, Boppudi Venkata, and Vislavath Naik, Tackling over-smoothing in multi-label image classification using graphical convolution neural network, Evolving Systems, Springer, 14, 771–781 (2023)
  5. Vikas Chauhan and Aruna Tiwari, Pairnorm based Graphical Convolution Network for zero-shot multi-label classification, Engineering Applications of Artificial Intelligence, Elsevier, 114, (2022):105012
  6. Vikas Chauhan and Aruna Tiwari, Randomized neural networks for multilabel classification, Applied Soft Computing, Elsevier, 115, (2022): 108184.
  7. Vikas Chauhan, Aruna Tiwari,Niranjan Joshi, and Sahaj Khandelwal, Multi-label classifier for protein sequence using heuristic-based deep convolution neural network, Applied Intelligence, 52, (2022):2820–2837.
  8. Vikas Chauhan, Raghvendra Gaur, Aruna Tiwari, and Anupam Shukla, Real-time BigData and Predictive Analytical Architecture for healthcare application, Sādhanā, Springer, 44, (2019) :1-12.

Conference publications

  1. Anikeit Sethi, Krishanu Saini, Rituraj Singh, Sumeet Saurav, Aruna Tiwari, Sanjay Singh, and Vikas Chauhan, Video Anomaly Latent Training GAN (VALT GAN): Enhancing Anomaly Detection through Latent Space Mining, IEEE Symposium Series on Computational Intelligence (SSCI), Mexico City, Mexico, 2023. (accepted)
  2. Anikeit Sethi, Krishanu Saini, Rituraj Singh, Sumeet Saurav, Aruna Tiwari, Sanjay Singh, and Vikas Chauhan, MAAD-GAN: Memory-Augmented Attention-based Discriminator GAN for Video Anomaly Detection, International Conference on Computer Vision & Image Processing, IIT Jammu, Jammu India, 2023. (accepted)
  3. Vikas Chauhan, Aruna Tiwari, and Shivvrat Arya, Multi-Label classifier based on Kernel Random Vector Functional Link Network, International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, (2020): 1-7.
  4. Vikas Chauhan and Aruna Tiwari, "On the Construction of Hierarchical Broad Learning Neural Network: An Alternative Way of Deep Learning," 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bangalore, India, 2018, 182-188.