Dr. Debasis Gountia

About

Debasis Gountia received the M. Tech. degree in Computer Science and Engineering (CSE) from the Indian Institute of Technology (IIT) Kharagpur, India. He received the B. Tech. degree in CSE from the UCE Burla, India. He received the Ph. D. award in CSE from the IIT Roorkee, India after recommended and highly praised by Ritsumeikan University Japan and North Texas University USA. He has more than 22 years of teaching and research experiences in various organizations. His research interests include Cryptography, Microfluidic Biochips, and AI. He has authored 35 international referred journals including 5 IEEE/ACM/EAI/ICSES Transactions, 42 conference proceedings, 5 books, 12 book chapters for Springer Nature Wiley International Publishing and CRC Press, and out of seven filed patents, 2 patents are granted in the aforementioned areas. He has been carrying out many international projects including two AI for Earth Azure Compute Grant of Microsoft Corporation, USA as Team Leader, and one ANRF ( formerly SERB), Govt. of India as Principal Investigator, and many more projects. He has been performing as Section Editors for many reputed Journals like "Computer Security Journal", Frontiers in Computer Science, and "Machine Learning and Artificial Intelligence", International Journal on Computer and Telecommunication Engineering. He has been a reviewer of various journals and conferences including IEEE/ACM Transactions: TDSC, TCBB, Consumer Electronics, TCPS, Web, ISA, JETC, IEEE Access, Integration the VLSI Journal, IJVICS, The Computer Journal, SNCS, EAI Endorsed Community Transactions, IJCNDS, and IEEE conferences: ICIT, WIECON-ECE, FSDM, COCOLE, ICRTIB, ICADCML, etc. He is a professional member of ACM, IEEE, SMIE, FSIESRP, and IFERP.

Employment

• Odisha University of Technology and Research Associate Professor
  2006 - Present

Education

• Indian Institute of Technology Roorkee Ph.D.
  2016 - 2021
• Indian Institute of Technology Kharagpur MTech
  2008 - 2010
• Veer Surendra Sai University of Technology B. Tech.
  1999 - 2003

Projects & Funding

Projects & funding information is unavailable.

Publications (45)

• Trojan Detection in Digital Microfluidic Biochips via Image Classification: A Deep-Learning Based Approach
  IEEE Transactions on Dependable and Secure Computing 2025 DOI: 10.1109/TDSC.2025.3568217
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• Interpretable and Explainable Convolutional Neural Network for Rice Leaf Disease Detection
  SN Computer Science 2025 DOI: 10.1007/s42979-025-04215-7
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• Decidable Regression Techniques for Statistical Modelling with Sustainable Agriculture Operations
  SN Computer Science 2024 DOI: 10.1007/s42979-024-03518-5
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• A Secure Fault Detection for Digital Microfluidic Biochips
  2024 DOI: 10.1093/comjnl/bxae106
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• A Technical Analysis of Digital Image and Video Processing
  IETE Technical Review 2024 DOI: 10.1080/02564602.2023.2262418
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• An Experimental Approach to Detect Forest Fire Using Machine Learning Mathematical Models and IoT
  SN Computer Science 2024 DOI: 10.1007/s42979-023-02514-5
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• Context-Aware Adversarial Graph-Based Learning for Multilingual Grammatical Error Correction
  ACM Transactions on Asian and Low-Resource Language Information Processing 2024 DOI: 10.1145/3696106
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• A Novel Approach for Data Classification Using Neural Networks
  IETE Journal of Research 2023 DOI: 10.1080/03772063.2021.1986152
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• Reliability Issues in State-of-the-Art Microfluidic Biochips: A Survey
  IETE Technical Review 2023 DOI: 10.1080/02564602.2022.2158952
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• Design-for-Trust Techniques for Digital Microfluidic Biochip Layout With Error Control Mechanism* A preliminary version of this paper appeared in the Proc. of IEEE Region 10 Symposium (TENSYMP), 2019
  IEEE/ACM Transactions on Computational Biology and Bioinformatics 2022 DOI: 10.1109/TCBB.2021.3054622
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