Projects per year
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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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KTP - Teesside University and Direct Line Supplies Limited : Intelligent Digital Twin for Distribution
Rahimian, F., Pandit, M., Joneidy, S. & Hebbron, B.
27/09/21 → 30/09/24
Project: Research
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HackEscape
Sturrock, I., Hossain, A., Pandit, M., Wijesinghe, C., Brennan, O. & Davies, K.
1/04/21 → 31/07/21
Project: Research
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Play2Secure: An AI enabled personalised cyberspace awareness game
Pandit, M. & Hossain, A.
1/04/19 → 31/05/19
Project: Research
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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
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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
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A scattering and repulsive swarm intelligence algorithm for solving global optimization problems
Pandit, D., Zhang, L., Chattopadhyay, S., Lim, C. P. & Chengyu, L., 15 Sept 2018, In: Knowledge-Based Systems. 156, p. 12-42 31 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile198 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 journal › Article › peer-review
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 journal › Article › peer-review
Open AccessFile7 Citations (Scopus)167 Downloads (Pure)