Research Projects
Research Assistant, IMICS Lab, Texas State University
San Marcos, TX, (August '23 - )
- Research on Time Series Augmentation and Machine Learning
Research Assistant, Kevin Leach Lab, Vanderbilt University
Nashville, TN (August '21 - April '22)
- Research on automatic summary generation of C/C++ code snippets in compiled x86-64 binaries.
- Implemented NLP techniques like tf-idf for keyword extraction to better analyze summaries.
- Applied Deep Learning algorithms using Keras involving encoder-decoder seq2seq Machine Translation approaches to build summarization model for binary code.
Research Assistant, Open-Ended Learning Environment Lab, ISIS, Vanderbilt University
Nashville, TN (August '21 - April '22)
- Research on modelling the cognitive and metacognitive behavior of students while learning a topic.
- Betty's Brain is a computer-based learning environment designed to teach middle school students science topics. The students learn by teaching a virtual computer agent-Betty by building causal models and it encourages self-regulated learning.
- Used eye-tracking data to understand and analyze students' learning strategies during their work in the system.
- Applied Machine Learning algorithms in Python - Classification and Clustering for predicting and modelling effective learning behavior by studying eye movement data.
Research Assistant, Jadavpur University
Kolkata, India (March '17' - April '19)
- Project with applications in determining the effectiveness of reading materials which is extremely important in improving remote learning. Studies involved use of low-cost eye tracking and EEG devices resulting in a system that is affordable to most people.
- Analyzed EEG signals and Eye-Tracking data from participants engaged in silent reading of a given text/passage.
- Performed a causality analysis of the pupil dilation to the EEG signals from the brain resulting in a more individualistic analysis of the subject identifying challenging pedagogical cases.
Research Intern, Indian Institute of Technology
IIT Kharagpur, India (May '18 - July '18)
- Developed machine learning algorithms for morphological analysis of words.
- Utilized deep learning techniques (Bi-LSTM) for Part-of-Speech (POS) Tagging and lemmatize words of a sentence.
- Developed newer deep learning models to perform NLP tasks accurately. Worked in the field of Natural Language Processing gaining experience with Python TensorFlow Models.
Publications
- Bhowmik, S., Kundu, S., De, B. K., Sarkar, R., & Nasipuri, M. (2019). A two-stage approach for text and non-text separation from handwritten scientific document images. In Information Technology and Applied Mathematics (pp. 41-51). Springer, Singapore.
- Sinha, A., Chaki, R., De Kumar, B., & Saha, S. K. (2019). Readability analysis of textual content using eye tracking. In Advanced Computing and Systems for Security (pp. 73-88). Springer, Singapore.
- Sinha, A., Chaki, R., De, B. K., Guha, R., Saha, S. K., & Basu, A. (2020). Multiscale Analysis of Textual Content Using Eyegaze. In Transactions on Computational Science XXXV (pp. 12-35). Springer, Berlin, Heidelberg.
- Sinha, A., Roy, D., Chaki, R., De, B. K., & Saha, S. K. (2019). Readability analysis based on cognitive assessment using physiological sensing. IEEE Sensors Journal, 19(18), 8127-8135.
- Sharma, K., Mishra, S., Papamitsiou, Z., Munshi, A., De, B. K., Biswas, G., & Giannakos, M. (2020). Towards Obtaining Facial Proxies for Gaze behaviour in TEL.
Awards
- Springer Best Paper Award: Won the Best Paper Award at Applied Computation and Security Systems (ACSS 2018) Conference for our paper titled: Readability analysis of textual content using eye tracking.
- IEEE Brain Data Bank Challenge, Glasgow, Scotland.: Received the 1st Prize for our project at the 2017 IEEE Brain Data Bank Challenge. Our submission in this challenge was for Electrophysiological Signal Analysis during Silent Reading.
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