Dr. Aparajita Dutta

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Assistant Professor – Grade II
Email: aparajita.dutta[at]cse.nits.ac.in
Date of Joining: 18.12.2023
Academic Experience: 02+
Google Scholar: Click Here

 

 

 

 

 

 

 

 

Academic Qualifications

  • Ph.D. from IIT Guwahati
  • M.Tech  from Jadavpur University
  • B.Tech from NIT Silchar

 

Research Area

  • Machine Learning
  • Deep Learning
  • Computational Biology
  • Natural Language Processing
  • Deep Reinforcement Learning

 

Short Biographical Sketch

Dr. Aparajita Dutta is currently working as an Assistant Professor in the Department of Computer Science and Engineering at National Institute of Technology (NIT) Silchar Assam. Prior to this, she was an Assistant Professor in the Department of Computer Science and Engineering at Indian Institute of Information Technology (IIIT) Guwahati. She completed her PhD at Indian Institute of Technology (IIT) Guwahati in the area of Computational Biology. Her PhD thesis is titled “Neural Network Models for Analyzing the Splicing Cell Variable from Genome Sequences”. She has collaborated with Oslo University Hospital, Norway in the analysis of differentially expressed mRNA in Glioblastoma cell lines. She has an industry experience of 1.5 years working as a Software Developer and Data Scientist. She has also worked at National Institute of Technology (NIT) Nagaland for one year, where she was the course instructor for C and Graph Theory courses.

 

 Teaching at NIT Silchar

  • Introduction to Programming (Undergraduate course) [current]
  • Programming Lab (Undergraduate course) [Jan-May 2024] [current]
  • Foundations of Data Science (Postgraduate course) [current]
  • Signals and Data Communication (Undergraduate course) [Jan-May 2024]
  • Advanced Database Management System (Postgraduate course) [Jan-May 2024]

 

Previous Teaching Experience

  • Machine Learning (IIIT Guwahati)
  • Machine Learning Lab (IIIT Guwahati)
  • Artificial Intelligence (IIIT Guwahati)
  • Artificial Intelligence Lab (IIIT Guwahati)
  • Data Structures Lab (IIIT Guwahati)
  • Computer Organization (IIIT Guwahati)
  • Graph Theory (NIT Nagaland)
  • Introduction to Programming (NIT Nagaland)

 

Outreach

  • Invited talk on Hands-on Training on Computational Intelligence for Health Informatics and Wearable Device Data Analysis for High-End Workshops organized under the Accelerated Vigyaan Karyashala scheme of “Science and Engineering Research Board (SERB) at NIT Silchar [24-30 Jul 2023].”
  • Session Chair for the technical session on Artificial Intelligence in IEEE GCON-2023 [23-25 Jun, 2023]
  • Reviewer in Scientific Reports (Nature), Computers in Biology and Medicine, Computational and Structural Biotechnology, Information Sciences, Heliyon (Elsevier), Current Bioinformatics.
  • Invited talk on Scope and demand of AI/ML organized under the Student Induction Program of AICTE at Regional Institute of Science and Technology (RIST), Meghalaya [19 Sep 2022].
  • Hands-on sessions on Deep Learning in NLP for Connected Devices for High-End Workshops organized under the Accelerated Vigyaan Karyashala scheme of the Science and Engineering Research Board (SERB) [20-26 Jul, 2022].
  • Invited talk on Deep Learning for NLP at Assam Engineering College, Guwahati [30 Jun,2022].
  • Online training on Basics of C and C++ Programming Language for Students organized under the Strengthening Component of DBT-STAR College Scheme by the Dept. of Biotechnology (DBT), Ministry of Science and Technology, Govt. of India [26 Jan 2021].
  • Hands-on-session in the Short-Term Course on Deep Learning for Natural Language Processing conducted under the Technical Education Quality Improvement Programme (TEQIP) sponsored by MHRD, Govt. of India [18-22 Nov 2019].

Research Grants

  • VRITIKA, SERB [AV/VRI/2022/0349]: Interpretable Machine Learning towards Precision Medicine [INR 1.5 Lacs], 2023 (as PI)
  • TIH, IIT Bhilai [IBITF/TSP/2023-24/0243]: Leveraging AI/ML for Customized Credit Assessment of the Bodo Tribe in the Bodoland Territorial Region [INR 16.5 Lacs], 2023-25 (as Co-PI)
  • CSIR, ASPIRE [22WS(0023) /2023-24/EMR-II/ASPIRE]: Deep Learning-based Extraction of Genetic Biomarkers for Early Prediction of Alzheimer’s Disease [INR 13 Lacs], 2024-2026 (as PI)

 

Administrative Responsibilities

  • Under Graduate Research Committee (UGRC): Department Coordinator [March 2024 – Present]
  • Department Undergraduate Programme Committee (DUPC): Member [May 2024 – Present]
  • Departmental Purchase Committee (DPC): Member [May 2024 – Present]
  • Anti Ragging Committee (ARC): Member [July 2024 – Present]
  • Faculty Advisor (B.Tech. Second Year) [July 2024 – Present]

 

Current Students

  • C Lalrinmawii (Ph. D.), Research Area: Bioinformatics
  • Arjun Gogoi (M.Tech.), Research Area: Natural Language Processing for Indigenous Indian Language
  • Gaurav Kunwar (M.Tech.), Research Area: Application of Deep Learning for Plant Disease
  • Priyanshu Jayant, Enifer Yashmin, Rahul Kumar Shah, Polasapalli Sandeep (B.Tech. Project), Research Area: Early Prediction of Alzheimer’s Disease
  • Shivam Kumar, Nikhil Kumar, Manish Kumar, Dhiraj Kumar (B.Tech. Project), Research Area: Heart Disease Prediction

 

Past Students

  • Rimpa Deka (M.Tech.), Thesis Title: Out-of-domain Detection Using Natural Language Processing (Completed at IIIT Guwahati in April 2023)
  • Parismita Pathak (M.Tech.), Thesis Title: Identification of Polyadenylation Signals in Genomic Sequences (Completed at IIIT Guwahati in April 2023)
  • Naman Singh Nayal (B.Tech.), Project Title: A Study on Synthetic Data Generation (Completed at IIIT Guwahati in April 2023)
  • Sai Tharun (B.Tech.), Project Title: Movies Recommendation System using Cosine Similarity (Completed at IIIT Guwahati in April 2023)
  • Uma Kadam (B.Tech.), Project Title: Prediction of Lysine Sumoylation Sites (Completed at IIIT Guwahati in December 2023)

 

Interns

  • Abhishek Kumar, Subham Saikia Sahani, Sristi Dey, Title: Sentiment Analysis on Indigenous Indian Language (SN Bose Internship Programme June-July 2024, NIT Silchar)
  • Sumit Nath and Akash Saha [Jorhat Engineering College], Title: A Comprehensive Overview of Large Language Models (June-July 2024)
  • Palash Pratim Dutta [Guwahati University], Title: Improved Out-of-domain Detection in Dialogue Systems using Distributed Representations (Completed at IIIT Guwahati in February 2023)

 

Publications

(J:Journal, C: Conference, P: Poster)

  • J4. S Lier, I Rein, S Lund, A L ̊ang, E L ̊ang, N Meyer, A Dutta, S Anand, G Nesse, R Johansen, A Klungland, J Rinholm, S Bøe, A Anand, S Pollard, M Lerdrup, D Pandey, P10.12.A CDK12/CDK13 inhibition disrupts a transcriptional program critical for glioblastoma survival, Neuro Oncology, Volume 24, Issue Supplement 2, September 2022, Page ii51.
  • J3. A Dutta, K Singh, and A Anand. Visualizing the splicing of non-canonical introns through recurrent neural networks. Journal of Bioinformatics and Computational Biology, 19(04), 2150014.
  • J2. A Dutta, A Dalmia, R. Athul, K Singh, and A Anand. (2020). Using the Chou’s 5-steps rule to predict splice junctions with interpretable bidirectional long short-term memory networks. Computers in Biology and Medicine, 116, 103558.
  • J1. A Dutta, T Dubey, K Singh, and A Anand.(2018). SpliceVec: distributed feature representations for splice junction prediction. Computational biology and chemistry, 74, 434-441.
  • C8. C Lalrinmawii, A Dutta, and Ramanujam E.. 2018. AFastQF: An Automated Fastq Quality Filtering of High-Throughput Genomic Data. In International Conference on Advanced Bioinformatics and Biomedical Engineering (ICABB 2024), November 28-30, 2024, Kyoto, Japan. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/1122445.1122456.
  • C7. P Borah and A Dutta. “Conditional Probability-Based Feature Embedding for Genomic Sequence Data.” In International Conference on Pattern Recognition (ICPR 2024) pp. 302-314. Springer, Cham, 2025.
  • C6. S Chouhan, S Nath, and A Dutta. “HindiLLM: Large Language Model for Hindi.” In International Conference on Pattern Recognition (ICPR 2024), pp. 255-270. Springer, Cham, 2025.
  • C5. R Deka, P Dutta, and A Dutta. (2023, June). Distributed Feature Representations for Out-of-domain Detection in Dialogue Systems. In 2023 IEEE Guwahati Subsection Conference (GCON) (pp. 1-6). IEEE.
  • C4. A Mondal, A Dutta, and S Biswas. (2023, June). Dueling-DQN Based Spectrum Sharing Between MIMO Radar and Cellular Networks. In 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit) (pp. 1-6). IEEE.
  • C3. A Dutta, K Singh, and A Anand. (2022, December). Identification of Splice Junctions Across Species Using BLSTM Model. In Proceedings of the International Conference on Computational Biology and Bioinformatics (ICCBB 2022) (pp. 1-6).
  • C2. A Dutta and A Anand. Neural network models for analyzing the splicing cell variable from genome sequences. EMBO Symposium “Regulatory epigenomics: From large data to useful models”, 2019, Chennai, India.
  • C1. A Dutta, T Dubey, K Singh, and A Anand. “SpliceVec: distributed feature representations for splice junction prediction.” APBC Japan 2018.
  • P1. G Choudhary , N Thakur , O Sharma , S Sinha , A Dutta and R Sehgal. “Advancing Radioactive Source Detection with Machine Learning using Plastic Scintillator Detector.” DAE Symposium on Nuclear Physics December 2023.