Key Research Areas

1. Computer Vision
2. Machine Learning
3. Big Data Analytics


About

Dinesh Singh is an Assistant Professor in School of Computing and Electrical Engineering, Indian Institute of Technology Mandi. Prior to joining IIT Mandi, He worked in High-dimensional Statistical Modeling Team with Prof. Makoto Yamada as a Postdoctoral Researcher at the RIKEN Center for Advanced Intelligence Project (AIP), Kyoto University Office, Japan. He completed his Ph.D. degree in Computer Science and Engineering from IIT Hyderabad under the supervision of Prof. C. Krishna Mohan on Scalable and Distributed Methods for Large-scale Visual Computing. He received his M.Tech degree in Computer Engineering from NIT Surat where he worked with Prof. Dhiren R. Patel on machine learning approaches for network anomaly and intrusion detection in the domain of cybersecurity and cloud security.


Recent Publications

1. D. Singh and C. K. Mohan, "Graph formulation of video activities for abnormal activity recognition," Pattern Recognition, vol. 65, pp. 265-272, 2017, doi: https://doi.org/10.1016/j.patcog.2017.01.001.
2. Q. Huang, M. Yamada, Y. Tian, D. Singh, and Y. Chang, "GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks," IEEE Transactions on Knowledge and Data Engineering, pp. 1-6, 2022, doi: 10.1109/TKDE.2022.3187455.
3. D. Singh and C. K. Mohan, "Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder," IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 3, pp. 879-887, 2019, doi: 10.1109/TITS.2018.2835308.
4. D. Singh, A. Bhure, S. Mamtani, and C. K. Mohan, "Fast-BoW: Scaling Bag-of-Visual-Words Generation," in British Machine Vision Conference 2018, BMVC 2018, Newcastle, UK, September 3-6, 2018, BMVA Press, 2018, p. 287. [Online]. Available: http://bmvc2018.org/contents/papers/1129.pdf
5. D. Singh, D. Roy, and C. K. Mohan, "DiP-SVM : Distribution Preserving Kernel Support Vector Machine for Big Data," IEEE Transactions on Big Data, vol. 3, no. 1, pp. 79-90, 2017, doi: 10.1109/TBDATA.2016.2646700.


Course Taught

1. CS202-Data Structure and Algorithms
2. IC252-Data Science II (CCE)