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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. Before joining Teesside, he was teaching at Northumbria University for 2 years in computer and information sciences department. 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 it’s applications.
  • AI in computer games.
  • Bio-medical signal processing.
  • Evolutionary optimization.
  • Brain Computer Interface.
  • Deep learning.

Education/Academic qualification

PhD, Northumbria University

Apr 2014Jun 2017

Award Date: 9 Jun 2017

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Research Output

A scattering and repulsive swarm intelligence algorithm for solving global optimization problems

Pandit, D., Zhang, L., Chattopadhyay, S., Lim, C. P. & Chengyu, L., 15 Sep 2018, In : Knowledge-Based Systems. 156, p. 12-42 31 p.

Research output: Contribution to journalArticle

Open Access
  • 171 Downloads (Pure)

    Classifier ensemble reduction using a modified firefly algorithm: An empirical evaluation

    Zhang, L., Srisukkham, W., Neoh, S. C., Lim, C. P. & Pandit, D., 1 Mar 2018, In : Expert Systems with Applications. 93, p. 395-422 28 p.

    Research output: Contribution to journalArticle

  • 4 Citations (Scopus)

    A lightweight QRS detector for single lead ECG signals using a max-min difference algorithm

    Pandit, D., Zhang, L., Liu, C., Chattopadhyay, S., Aslam, N. & Lim, C. P., 1 Jun 2017, In : Computer Methods and Programs in Biomedicine. 144, p. 61-75 15 p.

    Research output: Contribution to journalArticle

    Open Access
  • 7 Citations (Scopus)
    108 Downloads (Pure)

    Noise Reduction in ECG Signals Using Wavelet Transform and Dynamic Thresholding

    Pandit, D., Zhang, L., Liu, C., Aslam, N., Chattopadhyay, S. & Lim, C. P., 2017, Emerging Trends in Neuro Engineering and Neural Computation. Bhatti, A., Lee, K. H., Garmestani, H. & Lim, C. P. (eds.). Singapore: Springer Singapore, p. 193-206 14 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Improved abnormality detection from raw ECG signals using feature enhancement

    Pandit, D., Zhang, L., Aslam, N., Liu, C. & Chattopadhyay, S., 24 Oct 2016, 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2016. Du, J., Liu, C., Li, K., Wang, L., Tong, Z., Li, M. & Xiong, N. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1402-1406 5 p. 7603383

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 4 Citations (Scopus)