Profile
Assistant Professor in the field of Computer Science & Engineering
I have completed my Ph.D. from the Indian Institute of Technology Indore India. In particular, my Ph.D. dissertation work has focused on proposing multilabel approaches using noniterative and deep learning algorithms. I specialize in the field of Artificial Intelligence, with a particular focus on machine learning and deep learning. My research interests lie at the intersection of machine learning and deep learning. I am interested in exploring innovative algorithms to solve real-world problems. If you are interested in collaborating with me or learning more about my research, please get in touch.
Machine Learning, Deep Learning, and Application of Time series forecasting.
- Ph.D.
Indian Institute of Technology Indore
July 2017- December 2022 - M. Tech
Indian Institute of Information Technology and Management Gwalior
July 2014- June 2016 - B. Tech.
Kumaon Engineering College Dwarahat Almora (Govt. of Uttarakhand)
July 2007- June 2011
- August 2024-Present Assistant Professor
Indian Institute of Information Technology, Design and Manufacturing, Jabalpur
- July 2023-July 2024 Post Doctoral Researcher
National Taipei University of Technology Taipei Taiwan
- December 2022-July 2023 Assistant Professor
Bennett University, Greater Noida
- July 2016-May 2017 Assistant Professor
Madhav Institute of Technology and Science, Gwalior
- February 2012-July 2014 Senior System Engineer
Infosys Limited
- Offered European Research Consortium for Informatics and Mathematics (ERCIM) Post Doctoral Fellowship
2023
- Offered Post Doctoral Fellowship from Gachon University, South Korea.
2023
- Invited for an expert lecture on machine learning in ACM Student Chapter 2021 at Indira Gandhi Delhi Technical University For Women Delhi, India
2021
- Qualified University Grants Commission of India-National Eligibility Test (UGC-NET) in two successive years
2016 and 2017
- Merit scholarship in the first year of B. Tech. from Uttarakhand Technical University Dehradun
2007
Research
Areas or Specialisation / Project Activities / Publications / Books
Machine Learning, Deep Learning, Application of Time series forecasting
- Vikas Chauhan, Aruna Tiwari, Boppudi Venkata, and Vislavath Naik, Tackling over-smoothing in multilabel image classification using graphical convolution neural network, Evolving Systems, Springer, vol. 14, pp771 to 781, 2023.
- Vikas Chauhan and Aruna Tiwari, Pairnorm based Graphical Convolution Network for zeroshot multilabel classification, Engineering Applications of Artificial Intelligence, Elsevier, vol. 114, pp. 105012, 2022.
- Vikas Chauhan and Aruna Tiwari, Randomized neural networks for multilabel classification, Applied Soft Computing, Elsevier, vol. 115, pp. 108184, 2022.
- Vikas Chauhan, Aruna Tiwari, Niranjan Joshi, and Sahej Khandelwal Multilabel classifier for protein sequence using heuristic-based deep convolution neural network, Applied Intelligence, Springer, vol. 52, pp.2820 to 2837, 2021.
- Vikas Chauhan, Raghvendra Gaur, Aruna Tiwari, and Anupam Shukla Real-time BigData and Predictive Analytical Architecture for healthcare application, Sadhana, Springer vol. 44(237), pp.1 to 12, 2019.
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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, pp. 573 to 578, 2023.
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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, pp. 164 to 175, 2023.
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Vikas Chauhan, Aruna Tiwari, and Shivvrat Arya MultiLabel classifier based on Kernel Random Vector Functional Link Network, IEEE International Joint Conference on Neural Networks (IEEE IJCNN-2020), Glasgow, UK., pp. 1 to 7, 2020.
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Vikas Chauhan and Aruna Tiwari, On the Construction of Hierarchical Broad Learning Neural Network: An Alternative Way of Deep Learning, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2018), Bengaluru, India, 2018, pp. 182 to 188, 2018.
M. Tech./M.Des.
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Ph. D.
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Contact me
Feel free to contact
Vikas Chauhan
vikas.chauhan@iiitdmj.ac.in
https://www.linkedin.com/in/vikas-chauhan-32209033/
vikas.chauhan@iiitdmj.ac.in
(Fax) 91-
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