Sumanto Dutta
Sumanto Dutta
Assistant Professor
Sumanto Dutta is an Assistant Professor at the School of Computer Applications, KIIT University.
Before joining KIIT University in December 2023, he was a PhD research scholar with the National Institute of Technology Rourkela. He did his MTech in Computer Science from the National Institute of Technology, Rourkela, Odisha, India, in 2019. He has a total of 4.3 years of teaching experience. He has been an assistant professor at the Institute of Industrial and Computer Management and Research and Maharashtra Institute of Technology - School of Management in Pune, India.
His main research interests are Spatiotemporal Data Analysis, Data Mining, Machine Learning, and Artificial Intelligence.
Research Interests
Data Mining, Machine Learning, Data Science, Spatio-Temporal Data Analysis, Artificial Intelligence, Signal Processing
Data Mining, Machine Learning, Data Science, Spatio-Temporal Data Analysis, Artificial Intelligence, Signal Processing
Journals/Conferences :
"Dutta, S., & Patra, B. K. (2023). Inferencing transportation mode using unsupervised deep learning approach exploiting GPS point-level characteristics. Applied Intelligence, 53(10), 12489-12503.
Dutta, S., Das, A., & Patra, B. K. (2022). CLUSTMOSA: Clustering for GPS trajectory data based on multi-objective simulated annealing to develop mobility application. Applied Soft Computing, 130, 109655.
Dutta, S. (2021, November). TrajNet: Outlier Detection in Vehicle Trajectory Data using Capsule Network based One-Shot Learning. In Proceedings of the 29th International Conference on Advances in Geographic Information Systems (pp. 670-671).
Hazra, S., Dutta, S., & Nandy, A. (2021). A study on understanding cognitive states through gait analysis. Cognitive Systems Research, 69, 41-49.
Agrawal, S., Dutta, S., & Patra, B. K. (2021, July). Sentiment analysis of short informal text by tuning BERT-Bi-LSTM model. In IEEE EUROCON 2021-19th International Conference on Smart Technologies (pp. 98-102). IEEE.
Dutta, S., Hazra, S., & Nandy, A. (2020, July). A Smart Ambulatory Cognitive State Taxonomy System Through EEG Signal Analysis. In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-7). IEEE.
Dutta, S., & Nandy, A. (2020). An extensive analysis on deep neural architecture for classification of subject-independent cognitive states. In Proceedings of the 7th ACM IKDD CoDS and 25th COMAD (pp. 180-184).
Dutta, S., & Nandy, A. (2019, November). Data augmentation for ambulatory EEG based cognitive state taxonomy system with RNN-LSTM. In International Conference on Innovative Techniques and Applications of Artificial Intelligence (pp. 468-473). Cham: Springer International Publishing.
Dutta, S., Hazra, S., & Nandy, A. (2019). Human cognitive state classification through ambulatory eeg signal analysis. In Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part II 18 (pp. 169-181). Springer International Publishing."
"Dutta, S., & Patra, B. K. (2023). Inferencing transportation mode using unsupervised deep learning approach exploiting GPS point-level characteristics. Applied Intelligence, 53(10), 12489-12503.
Dutta, S., Das, A., & Patra, B. K. (2022). CLUSTMOSA: Clustering for GPS trajectory data based on multi-objective simulated annealing to develop mobility application. Applied Soft Computing, 130, 109655.
Dutta, S. (2021, November). TrajNet: Outlier Detection in Vehicle Trajectory Data using Capsule Network based One-Shot Learning. In Proceedings of the 29th International Conference on Advances in Geographic Information Systems (pp. 670-671).
Hazra, S., Dutta, S., & Nandy, A. (2021). A study on understanding cognitive states through gait analysis. Cognitive Systems Research, 69, 41-49.
Agrawal, S., Dutta, S., & Patra, B. K. (2021, July). Sentiment analysis of short informal text by tuning BERT-Bi-LSTM model. In IEEE EUROCON 2021-19th International Conference on Smart Technologies (pp. 98-102). IEEE.
Dutta, S., Hazra, S., & Nandy, A. (2020, July). A Smart Ambulatory Cognitive State Taxonomy System Through EEG Signal Analysis. In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-7). IEEE.
Dutta, S., & Nandy, A. (2020). An extensive analysis on deep neural architecture for classification of subject-independent cognitive states. In Proceedings of the 7th ACM IKDD CoDS and 25th COMAD (pp. 180-184).
Dutta, S., & Nandy, A. (2019, November). Data augmentation for ambulatory EEG based cognitive state taxonomy system with RNN-LSTM. In International Conference on Innovative Techniques and Applications of Artificial Intelligence (pp. 468-473). Cham: Springer International Publishing.
Dutta, S., Hazra, S., & Nandy, A. (2019). Human cognitive state classification through ambulatory eeg signal analysis. In Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part II 18 (pp. 169-181). Springer International Publishing."