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Dr Abhishek Toofani

Assistant Professor

Dr. Abhishek Toofani is a Computer Science researcher specializing in Knowledge-Based Explainable Artificial Intelligence (XAI). With over 10 years of experience in teaching, research, and academic administration, his expertise includes Artificial Intelligence, Machine Learning, Soft Computing, and Web Technologies. He has published in SCIE and Scopus-indexed journals, presented at international conferences, and received Best Paper Awards. His research focuses on explainable AI, fuzzy systems, evolutionary computation, and intelligent optimization. He has contributed to the MHRD Virtual Lab project in collaboration with IITs, serves as a reviewer for IEEE Access, and actively participates in IEEE-sponsored conferences. His current work focuses on developing transparent, interpretable, and trustworthy AI systems.

Educational Qualification 

  • Ph.D., Dayalbagh Educational Institute, Agra (2026)
    – Design and analysis of knowledge-based explainable intelligence systems (Full Time)
  • M.Tech., Dayalbagh Educational Institute, Agra (2012)
    – Major: Computer Science (1st Division)
  • B.Tech, Uttar Pradesh Technical University, Lucknow (2009)
    – Information Technology (1st Division)

Research and Scholarly Publication

JOURNAL PUBLICATIONS

  • “From interpretation to explanation: An analytical examination of deep neural network with linguistic rule-based model.” Computers and Electrical Engineering 117 (2024): 109258.
  • “Performance comparison of various algorithms during software fault prediction.” International Journal of Grid and High Performance Computing (IJGHPC) 13.2 (2021): 70-94.
  • “Performance comparison of multi-objective algorithms for test case prioritization during web application testing.” Arabian Journal for Science and Engineering 44.11 (2019): 9599-9625.
  • “Search for prioritized test cases in multi-objective environment during web application testing.” Arabian Journal for Science and Engineering 43.8 (2018): 4179-4201.
  • “A novel approach for regression testing of Web applications.” Int. J. Intell. Syst. Appl 10.2 (2018): 55-71.
  • “Test case prioritisation during web application testing.” International Journal of Computer Applications in Technology 56.3 (2017): 230-243.
  • “Solving routing problem using particle swarm optimization.” International Journal of Computer Applications 52.18 (2012): 16-18.

CONFERENCE PUBLICATIONS

  • “Explainable Image Classification Through Prototype-Based Feature Analysis and Mosaic Reconstruction.” 2025 7th International Conference on Information Systems and Computer Networks (ISCON). IEEE, 2025.
  • “Explaining the Artificial Neural Network Using Evolutionary Fuzzy Association Rule Mining (EFARM).” International conference on soft computing for problem-solving. Singapore: Springer Nature Singapore, 2023.
  • “Analysis of feature selections during fault prediction using various ML algorithms.” 2nd International Conference On Futuristic And Sustainable Aspects In Engineering And Technology: Fsaet-2021. Vol. 2721. No. 1. Aip Publishing Llc, 2023.
  • “An Improved HVC based blind watermarking algorithm using SVD and DWT.” 2023 6th International Conference on Information Systems and Computer Networks (ISCON). IEEE, 2023.
  • “ANN-based non-destructive testing of apples, using statistical and textured features.” 2023 international conference on artificial intelligence and smart communication (AISC). IEEE, 2023.

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