Max Pandit

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Max Pandit

Dr

 https://orcid.org/0000-0001-7647-3443

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Personal profile

Academic Biography

Dr Diptangshu Pandit (Max) is a Senior Lecturer in Computer Game Design. He focuses teaching mainly the technical side of the games development using Unreal Engine and visual scripting. He has a PhD in applied artificial intelligence for biomedical signal processing. He holds both bachelors and masters degree in Computer Science and Engineering. His work is mostly focused on machine learning and evolutionary optimisation algorithms and their use in various domains, including game development. 

Summary of Research Interests

His research interests include, but not limited to the following areas;

  • Machine Learning and its applications.
  • AI in computer games.
  • Bio-medical signal processing.
  • Evolutionary optimization.
  • Brain Computer Interface.
  • Deep learning.

Education/Academic qualification

PhD, Intelligent ECG Processing and Abnormality Detection using Adaptive Ensemble Models, Northumbria University

Apr 2014 → Jun 2017

Award Date: 9 Jun 2017

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Collaborations and top research areas from the last five years

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  • An Explainable AI Tool for Operational Risks Evaluation of AI Systems for SMEs

    Han, T. A., Pandit, M., Joneidy, S., Hasan, M. M., Hossain, J., Hoque Tania, M., Hossain, M. A. & Nourmohammadi, N., 23 Jan 2024, 2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA). IEEE

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • A Framework for Realistic Virtual Representation for Immersive Training Environments.

    Plumb, C., Rahimian, F., Pandit, D., Thomas, H. & Clark, N., 13 Nov 2023, Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Capone, P., Getuli, V., Pour Rahimian, F., Dawood, N., Bruttini, A. & Sorbi, T. (eds.). Firenze University Press, p. 278-291 14 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Multi-Aspectual Knowledge Elicitation for Procurement Optimization in a Warehouse Company

    Fotso Mtope, F. R., Joneidy, S., Pandit, D. & Rah, F., 13 Nov 2023, Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Capone, P., Getuli, V., Pour Rahimian, F., Dawood, N., Bruttini, A. & Sorbi, T. (eds.). Firenze University Press, p. 372-383

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • The Web of Things Ecosystem

    Saha, A., Jan, M., Chowdhur, C., Biswas, S. & Pandit, D., 2021, Smart Connected World. Jain, S. & Murugesan, S. (eds.).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Novel class detection using hybrid ensemble

    Pandit, D., Zhang, L., Mistry, K. & Jiang, R., 2 Dec 2020, Proceedings of 2020 International Conference on Machine Learning and Cybernetics, ICMLC 2020. IEEE Computer Society, p. 267-272 6 p. 9469587. (Proceedings - International Conference on Machine Learning and Cybernetics; vol. 2020-December).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

View all 13 research outputs