Prof. Subhrakanta Panda

About

Prof. Subhrakanta Panda is currently working as an Associate Professor in the Department of Computer Science and Information Systems at the Birla Institute of Technology and Science Pilani, Hyderabad Campus. His current areas of interest and research are in Medical Analytics, Social Network Analysis, Blockchain Applications, Cloud Computing, and Software Testing. His Ph.D. thesis is titled Regression Testing of Object-Oriented Software and received his PhD from Dept. of CSE, NIT Rourkela in 2016. He teaches Computer Programming, Object-Oriented Programming, Cloud Computing, and Database Systems. He has successfully supervised/Co-supervised 4 Ph.D. students. He is currently supervising/co-supervising the work of 2 Ph.D research scholars. He has more than 40+ published articles, papers, and book chapters in various journals, conferences and edited book volumes. He has adapted the Indian edition of the Book, “Data Structures and Algorithms in Python by Goodrich, Tamassia, Goldwasser” published by Wiley.

Prof. Subhrakanta always carries a high level of motivation to discuss any idea under the sky. He always strives to bring out the best in people he works with. He believes that every mind is a fire, and it just needs to be rekindled. He always carries a positive perspective when approaching an issue. He has a broad range of interests and hobbies. He loves to read books, play chess, and solve Sudoku puzzles. Anyone interested to team up with him is most welcome.

Employment

• Department of Computer Science and Information Systems, Birla Institute of Technology and Science, Pilani, Hyderabad Campus Associate Professor
  2016 - Present

Education

• National Institute of Technology Rourkela PhD
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• CASTA: Clinical Assessment System for Tuberculosis Analysis
  Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation 2022 DOI: 10.1007/978-3-030-96308-8_21
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• Cuckoo search in threshold optimization for better event detection in social networks
  Social Network Analysis and Mining 2022 DOI: 10.1007/S13278-022-00867-Y
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• GAN-C: A generative adversarial network with a classifier for effective event prediction
  Computational Intelligence 2022 DOI: 10.1111/COIN.12550
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• ScaPMI: Scaling Parameter for Metric Importance
  International Conference on Agents and Artificial Intelligence (ICAART) 2022 DOI: 10.5220/0010774600003116
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• An Explainable Knowledge-Based System Using Subjective Preferences and Objective Data for Ranking Decision Alternatives
  Methods of Information in Medicine 2022 DOI: 10.1055/S-0042-1756650
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• Anomaly Score: A new Feature for Effective Prediction of Events in Social Networks
  Proceedings of the INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS) 2021 DOI: 10.1109/COMSNETS51098.2021.9352898
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• Machine Learning and XAI approaches for Allergy Diagnosis
  Biomedical Signal Processing and Control 2021 DOI: 10.1016/J.BSPC.2021.102681
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• Spark-Based Parallel Method for Prediction of Events
  Arabian Journal for Science and Engineering 2020 DOI: 10.1007/S13369-020-04437-2
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• Community Detection Techniques for Evolving Social Networks
  International Conference on Cloud Computing, Data Science & Engineering (Confluence) 2019 DOI: 10.1109/CONFLUENCE.2019.8776896
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• A Comparative Study of the Effectiveness of Meta-Heuristic Techniques in Pairwise Testing
  IEEE Annual Computers, Software, and Applications Conference (COMPSAC) 2019 DOI: 10.1109/COMPSAC.2019.00022
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