Abhaya Kumar Pradhan



Contact

abhaya08csc007@gmail.com
abhayakumar.p@srmap.edu.in

L-6, Homi J. Bhaba Block
SRM University-AP

@akp
@abhayalazy
abhayakumarpradhan


I am an Assistant Professor at SRM University-AP with appointments in the Department of Computer Science & Engineering in School of Engineering & Sciences. Prior to my stint at SRM University-AP, I was working as an Assistant Professor in Data Science @ Woxsen University (2024-2025), and Assistant Professor in Data Science @ VIIT, Pune(2021-2023).

I received my PhD in Computer Science from Artificial Intelligence Lab, SCIS @ University of Hyderabad, INDIA and M.Sc. Computer Science from Department of Computer Science @ Pondicherry University, INDIA.

My research sits at the confluence of Social Media Analytics (SMA), Natural Language Processing (NLP), Healthcare AI, Large Language Models (LLMs), and Agentic AI frameworks, addressing challenges that span across data-driven social intelligence, medical innovation, and autonomous decision-making systems.

My specific research interests include:

  • Social Media Data Analytics: Focused on real-time event detection, aspect-based opinion mining, and multimodal sentiment analysis using advanced NLP and graph-based techniques to better understand emerging trends and public discourse on platforms like X (earlier Twitter).
  • Natural Language Processing & LLMs: Exploring the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks for dynamic information retrieval, contextual understanding, and knowledge grounding across open-domain and specialized applications.
  • Healthcare AI: Designing deep learning models for predictive modeling and medical image analysis, with recent work on CNN-LSTM architectures for pulmonary fibrosis prognosis and multimodal tumor segmentation.
  • Agentic AI for Aviation: Developing autonomous, agentic AI systems for intelligent decision-making in aviation, including applications in predictive maintenance, flight operations, and mission planning.
  • Responsible and Inclusive AI: Designing AI systems that are transparent, fair, and ethically aligned to real-world challenges; ensuring safety, accountability, and inclusivity in deployment across sectors.

A core part of my research vision is to build responsible, ethical, and inclusive AI systems that are transparent, fair, and adaptable to real-world challenges, ensuring their safe deployment across sectors such as healthcare, social media, and aviation etc.

Please check out my CV for more details about me and my research.

ALERT: I am actively looking for motivated undergraduate and graduate students, as well as postdoctoral researchers, who are passionate about advancing research in Natural Language Processing (NLP), Healthcare AI, LLM fine-tuning, and Agentic AI systems, particularly with applications in aviation. If you're excited about these areas and eager to work on cutting-edge, impactful research, I’d love to hear from you!
👉 Before reaching out, please take a moment to read this to better understand how we can collaborate effectively.

Selected Achievements & News

  • Reviewer, IEEE Transactions on Emerging Topics in Computing
  • Reviewer, IET Signal Processing, Wiley
  • Reviewer, International Journal of Sensors, Wireless Communications and Control, Bentham Science
  • 2023: Best Paper Award, ICDSMLA-2023.
  • 2015: Awarded with National Junior Research Fellowship by UGC, New Delhi.
  • 2015: Qualified for UGC-NET Assistant Professorship.
  • 2015: Best Paper Award in the 5th Student Research Symposium, ICDCIT-2015.
  • 2014: Qualified for GATE.
  • 2013: Designed and developed a web application (with CMS) for the Department of Civil Engineering, Pondicherry University (Currently maintained by Computer Centre,Pondicherry University)
  • 2011-2023: Selected for Merit cum Means Scholarship, Pondicherry University
  • 2006: Qualified Odisha State Talent Scholarship Examination by World Health & Education Service, Bhubaneswar, Odisha (STD-X), 2025

Upcoming and Recent Events

  • 03.2026International Conference on Innovative Trends in Information Technology (ICITIIT 2026),IIIT, Kottayam
  • 04.2025 FDP on Convergence of ML, Data Science, IoT and Networks: Trends and Applications, NIT Warangal & NIT Rourkela, India [21-30, April 2025]
  • 09.2024 International Conference on Computing, Communication & Learning (COCOLE-2024), NIT, Warangal, India [13-15, Sept. 2024
  • 06.2024FDP on Recent Trends & Future Applications in Natural Language Processing, NIT Warangal, India [29 May-8 June, 2024]
  • 05.2024 FDP on Innovative & Creative Classroom Pedagogy for Enhanced Learning & Engagement, Woxsen University, India [20-24 May 2024]

Research

👉 See Google Scholar Page for a comprehensive list.

Selected Journals


  • Advancing idiopathic pulmonary fibrosis prognosis through integrated CNN-LSTM predictive modeling and uncertainty quantification.
    Biomedical Signal Processing and Control, 100, p.106811. Elsevier[2025]
    Karthik, A., Patthi, S., Maheswari, B.U., Devi, J.S., Pradhan, A.K., Balaji, L., Nallasivan, G. and Rajaram, A.
    pdf

  • Ensemble-based multimodal medical imaging fusion for tumor segmentation.
    Biomedical Signal Processing and Control, 100, p.106811. Elsevier[2025]
    Karthik, A., Hamatta, H.S., Patthi, S., Krubakaran, C., Pradhan, A.K., Rachapudi,V., Shuaib, M. and Rajaram, A.,
    pdf

  • EDTBERT : Event Detection and Tracking in Twitter using Graph Clustering and Pre-trained Language Model.
    Procedia Computer Science, Elsevier[2024]
    Pradhan A.K., Mohanty H., Lal R.P.
    pdf

  • Events in Tweets: Graph Based Techniques.
    Recent Advances in Computer Science and Communications, Bentham Science[2022]
    Pradhan A.K., Mohanty H., Lal R.P.
    pdf


Conference Publications


  • EventBoost : Enhancement of Twitter Event Detection using Social Features and Word Embeddings
    ICDSMLA. pages57-68, Cham, 2023. Springer International Publishing. (Best Paper Award)
    Pradhan A.K., Mohanty H., Lal R.P.
    pdf

  • Event Detection and Aspects in Twitter: A BoW Approach.
    ICDCIT 2019. Lecture Notes in Computer Science, vol 11319. Springer
    Pradhan A.K., Mohanty H., Lal R.P.
    pdf

  • Finding Tweet Events
    IJCA Proceedings on ICDCIT, 2015, pp 5-12 (Best Paper Award)
    Pradhan A.K., Mohanty H., Lal R.P.
    pdf


Patents


  • Machine Learning Based Algorithm to Spot Cyberbullying on Twitter
    Abhaya Kumar Pradhan et al.
    IN Patent App. 202,441,068,792 (Published)

  • IoT-Based Coal Mine Safety Monitoring and Alerting System
    Abhaya Kumar Pradhan et al.
    IN Patent App. 202,441,050,594 (Published)

Advising

Updating soon...

  • Student List

Alumni (Past Advisees, Close Collaborators, and Visitors):

  • Collaborators List

Teaching