Dr. Upasana Talukdar Assistant Professor
PhD (Tezpur University) Department of Computer Science & Engineering- upasana@iiitg.ac.in
Joined the Institute in February 2021
About
Hello, and welcome to my home page. I am currently serving as an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Information Technology, Guwahati. I joined IIITG in February 2021. Before that, I was an Assistant Professor in the Department of Data Science & Analytics at the Central University of Rajasthan from October 2019 until February 3, 2021. I completed my Ph.D. at Tezpur University in August 2019 and earned my M.Tech in Information Technology from Tezpur University in 2013, where I was awarded the Institute Gold Medal for Academic Excellence. During my Ph.D. studies, I was a visiting scholar at the University of Essex in the UK.
Research Interests
My broad research interests encompass artificial intelligence, machine learning, signal processing, and knowledge representation and reasoning. Currently, I am focusing on the application of artificial intelligence and machine learning in the field of Brain-Computer Interfacing.
Teaching
- Monsoon 2024: Machine Learning (CS306), Machine Learning Lab (CS360), Course Co-ordinator of Design and Implementation of Human-Computer Interface (CS480) (NPTEL Course)
- Winter 2024: Artificial Intelligence (CS235), Artificial Intelligence Lab (CS236)
- Monsoon 2023: Machine Learning (CS633), IT Workshop I Lab (CS202)
- Winter 2023: Data Structures(CS104), Data Structures Lab (CS111)
Ph.D. Students
Ongoing:
1. Debleena Bhattacharjee (Full Time), (2022) : Area: EEG-based Emotion Recognition
2. Parag J. Das (Part Time), (2023)
Publication
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Journal
- S. Marjit, P. J. Das, U. Talukdar, S. M Hazarika, "A hybrid sequential forward channel selection method for enhancing EEG-Based emotion recognition", Journal of Experimental & Theoretical Artificial Intelligence , (2024), pages. 1–25, Taylor and Francis: doi: https://doi.org/10.1080/0952813X.2023.2301367
- U. Talukdar, S.M. Hazarika and John Q Gan., "Adaptation of Common Spatial Patterns based on Mental Fatigue for Motor-Imagery BCI", Biomedical Signal Processing and Control,58, (2020), pages. 101829,
- U. Talukdar, S.M. Hazarika and John Q Gan, "Adaptive feature extraction in EEG-based motor imagery BCI: tracking mental fatigue", Journal of Neural Engineering,17(1), (2020), pages. 016020,
- U. Talukdar, S.M. Hazarika and John Q Gan, "Motor Imagery and Mental Fatigue: inter-relationship and EEG based estimation", Journal of Computational Neuroscience,46(1), (2019),
- U. Talukdar, S.M. Hazarika and John Q Gan, "A Kernel Partial Least Square based Feature Selection Method", Pattern Recognition,83, (2018), pages. 91-106,
Conference
- Upasana Talukdar, Prasun Paul, "OnE: An EEG-based Passive BCI framework for Monitoring Cognitive States During online learning", Proceedings of the 2023 6th International Conference on Advances in Robotics, (2023), pages. 1-7, ACM
- G. Anirudh, Upasana Talukdar, "Automated Detection of Type 2 Diabetes with Imbalanced and Machine Learning Methods", Machine Learning, Image Processing, Network Security and Data Sciences: Select Proceedings of 3rd International Conference on MIND 2021, (2023), pages. 29-40, Springer
- Shyam Marjit, Upasana Talukdar, Shyamanta M Hazarika, "EEG-based Emotion Recognition using Genetic Algorithm optimized Multi-layer Perceptron", 2021 International Symposium of Asian Control Association on Intelligent Robotics and Industrial Automation (IRIA), (2021), pages. 304-309, IEEE
- Shyam Marjit, Upasana Talukdar, Shyamanta M Hazarika, "EEG-based Emotion Recognition using Genetic Algorithm optimized Multi-layer Perceptron", 2021 International Symposium of Asian Control Association on Intelligent Robotics and Industrial Automation (IRIA), (2021), pages. 304-309, IEEE
- Shyam Marjit, Upasana Talukdar, Shyamanta M Hazarika, "Enhancing EEG-Based Emotion Recognition Using MultiDomain Features and Genetic Algorithm Based Feature Selection", International Conference on Pattern Recognition and Machine Intelligence, (2021), pages. 345-353, Springer International Publishing
- G Anirudh and U. Talukdar, "An Experimental Analysis for Credit Card Fraud Detection With Imbalanced and Machine Learning Techniques", In 26th Annual International Conference on Advanced Computing and Communications (ADCOM 2020), (2020), (To be published in CCIS Proceedings, Springer) (Accepted and Presented)
- U. Talukdar and D. Sougrakpam, "BrainTalk-An EEG Motor Imagery BCI for giving Non-Speaking People a Voice: A Position Paper", In Proceedings of International Conference on Computing and Communication Systems, (2020), I3CS (2020), Springer (Accepted and Presented)
- U. Talukdar, S.M. Hazarika and John Q Gan, "Augmenting a Description Logic with Probability for Motion Patterns Within QSTR", In Smart Computing Paradigms: New Progresses and Challenges, (2020), pages. 157-167, Springer, Singapore.
- U Talukdar and S.M. Hazarika, "Designing spatio-temporal filter using adaptive sliding window for single trial EEG based BCI.", In Proceedings of the Advances in Robotics (AIR, 2017), (2017), Indian Institute of Technology, Delhi, Article. 4, ACM
- U Talukdar and S.M. Hazarika, "Estimation of Mental Fatigue During EEG Based Motor Imagery", In International Conference on Intelligent Human Computer Interaction (IHCI, 2016), Birla Institute of Technology, Pilani,, (2016), pages. 122-132, Springer
- U Talukdar, R Barua and S. M. Hazarika, "A description logic based QSTR framework for recognizing motion patterns from spatio-temporal data", In Recent Trends in Information Systems (ReTIS), 2015 IEEE 2nd International Conference, Jadavpur University,, (2015), pages. 38-43, IEEE