Projects per year
Personal profile
Biography
Vishnu Monn Baskaran is a Senior Lecturer with the School of IT, Monash University Malaysia. He received his B.Eng. (1st class Hons.) and M.Eng. Degrees in Electrical and Electronics Engineering from University Tenaga Nasional, Malaysia in 2004 and 2007, respectively. In 2016, he obtained his Ph.D. in Engineering from Multimedia University, Malaysia. He was with Multimedia University from 2009 to 2017, and prior to that, a R&D engineer with Panasonic R&D Centre Malaysia from 2005 to 2009. His research interests include multidisciplinary parallel computing research, predictive analytics and statistics with special interest in Markov model. He has successfully solicited research grants worth RM 1.25 million as principal/co-principal investigator and he has published various research papers in the area of network and video processing. He is also well experienced in academic teaching for programming courses. These courses include C/C++ programming and Parallel Processing & Programming. He is a recipient of an excellent teaching award from Multimedia University. He has also published a book chapter specifically for parallel programming using the C programming language.
In addition, Vishnu regularly provides technical consultancy to the industry. Notable consultancies include Motorola, Robert Bosch, Sony Electronics, MIMOS, Texas Instruments, Keysight, Contraves, and Cyber Security Malaysia.
Research interests
- High performance computing.
- Predictive analytics.
- Machine learning.
- Image and video communication
Monash teaching commitment
- FIT5148 - Distributed databases and big data
- FIT3143 - Parallel computing
- ECE4075 - Real time embedded systems
Research area keywords
- High performance computing
- Predictive analytics
- Machine learning
- Image and video communication
Network
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Investigation into Traffic Mobility in Malaysia for Intelligent Transportation System
Lim, J., Parthiban, R., Susilawati, S., Monn, V., Chun Yong, C. & Ho, P. W. C.
1/09/19 → 31/05/23
Project: Research
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Deep Learning Based Demodulation of LMR Signals
Monn, V., Hisham Jaward, M., Dhaliwal, J., Kok Sheik, W., Chee, C., Chian Ming, T. & Chian Hong, W.
1/07/19 → 30/06/23
Project: Research
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Improved Scalability of Blockchain Platforms using Distributed Authenticated Skip Graphs
Monn, V., Yap, T. T. V., Tan, I., Abaei, G. & Yu, J.
1/11/20 → 31/10/22
Project: Research
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A Novel Semi-supervised Image-to-Video Adaption for Action Recognition in Videos.
Krishnasamy, G., Paramesran, R., Phan, R. & Monn, V.
1/11/20 → 31/10/22
Project: Research
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Recovery of Missing Coefficients - Fundamentals to Applications
Kok Sheik, W., Bin Ramli, N., Monn, V. & Ong, S. Y.
1/01/19 → 30/09/21
Project: Research
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A zero-shot soft sensor modeling approach using adversarial learning for robustness against sensor fault
Ding, Z. Y., Loo, J. Y., Nurzaman, S. G., Tan, C. P. & Baskaran, V. M., 2022, (Accepted/In press) In: IEEE Transactions on Industrial Informatics. 11 p.Research output: Contribution to journal › Article › Research › peer-review
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Invisible emotion magnification algorithm (IEMA) for real-time micro-expression recognition with graph-based features
Buhari, A. M., Ooi, C-P., Baskaran, V. M., Phan, R. CW., Wong, K. & Tan, W-H., Mar 2022, In: Multimedia Tools and Applications. 81, 7, p. 9151-9176 26 p.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus) -
Robust multimodal indirect sensing for soft robots via neural network-aided filter-based estimation
Loo, J. Y., Ding, Z. Y., Baskaran, V. M., Nurzaman, S. G. & Tan, C. P., Jun 2022, In: Soft Robotics. 9, 3, p. 591-612 22 p.Research output: Contribution to journal › Article › Research › peer-review
6 Citations (Scopus) -
Appearance-based passenger counting in cluttered scenes with lateral movement compensation
Sutopo, R., Lim, J. M. Y., Baskaran, V. M., Wong, K. S., Tistarelli, M. & Liau, H. F., Aug 2021, In: Neural Computing and Applications. 33, 16, p. 9891-9912 22 p.Research output: Contribution to journal › Article › Research › peer-review
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Deep multi-level feature pyramids: application for non-canonical firearm detection in video surveillance
Lim, J. Y., Al Jobayer, M. I., Baskaran, V. M., Lim, J. M. Y., See, J. & Wong, K. S., 2021, In: Engineering Applications of Artificial Intelligence. 97, 18 p., 104094.Research output: Contribution to journal › Article › Research › peer-review
3 Citations (Scopus)