Dr Vishnu Monn

Senior Lecturer
School of IT

Vishnu.Monn@monash.edu
+603 5515 9733
Room 2-4-15
ORCID

Personal statement

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.

Academic degrees

  • Doctor of Philosophy in Engineering, Multimedia University, Malaysia, 2016
  • Master in Electrical Engineering, Universiti Tenaga Nasional, 2007
  • Degree in Electrical and Electronics Engineering (1st class Honours), Universiti Tenaga Naional, 2004

Professional affiliations

Member of International Professional Bodies

  • Institute of Electrical and Electronics Engineers (IEEE), Member

Member of National Professional Bodies

  • Institute Engineers of Malaysia (IEM), Corporate Member

Research Interests

  • High performance computing.
  • Predictive analytics.
  • Machine learning.
  • Image and video communication

Research Projects

Active Surveillance using Deep Neural Networks

Architectural overview of the cluster based deep neural networks platform

Conventional video surveillance for urban security are quintessentially passive driven systems, whereby the recorded or archived content is used primarily as evidence of a criminal activity that has taken place. To improve deterrence against criminal intent, active based surveillance represents a viable alternative to passive based systems. An active surveillance system analyses the content of the video feed in real-time to identify potential suspicious behaviours leading to criminal intent. Techniques including pattern analysis, foreground and background extraction are typically deployed to identify these behaviours. However, environmental changes in term of luminance level and object occlusions may occur, thereby causing degradation in detection accuracy in classifying potential suspicious behaviours.

Nevertheless, the rapid evolution of deep neural network algorithms coupled with significant advancements in high performance computing technology have created new opportunities for a reliable active surveillance framework. As such, our research applies a recurrent neural network framework with dynamic temporal behaviour to learn representations of existing criminal video data activities with multiple levels of abstraction. The aim here is to substantially improve the state-of-the-art in suspicious human activity behaviour, specifically in the context of a real time active surveillance platform for theft classification and notification.

Education

Units taught

FIT5148 - Distributed databases and big data

FIT3143 - Parallel computing

ECE4075 - Real time embedded systems

Local grants

  • Novel Analytics for Real-time Snatch Theft Classification in a Multifarious Setting, Vishnu Monn, 2018 - 2020, Fundamental Research Grant Scheme, Ministry of Higher Education Malaysia, RM174,000

Current supervision

Lee Shan Neng
Novel analytics for remaining useful LED light predication in a multifarious setting
2018 - Present
Monash University Malaysia

Adamu Muhammad Buhari
Accelerated Classification for Real-Time Systems
2016 - Present
Monash University Malaysia

Completed supervision

Koay Jun Ming
Performance Optimisation of Multi-camera Video Analytics
2018
Monash University Malaysia

Local Award/Recognition/Exhibition/Stewardship

  • ITEX 2018 (Silver) – ITEX, 2011

Publications

Journals

  • Baskaran, V. M., Chang, Y. C, Loo, J., Wong, K., and Gan, M-T. (2018). Dominant Speaker Detection in Multipoint Video Communication Using Markov Chain with Non-Linear Weights and Dynamic Transition Window. Elsevier Information Science (ISI-Cited publication, In peer review).
  • Poh, G. S., Chin, J-J., Baskaran, V. M., Mohamad, M. S., Kay, W. L., Maniam, D., and Z’aba, M. R. (2017). Searchable Data Vault: Encrypted Queries on Secure Distributed Cloud Storage. Algorithms: Special Issue on Security and Privacy in Cloud Computing Environments, 10(2), 52 (Scopus indexed).
  • Buhari, A. M., Ling, H-C., Baskaran, V. M., and Wong, K. (2016). Fast Watermarking Scheme for Real-time Spatial Scalable Video Coding. Signal Processing: Image Communication, 47(1), 86 – 95 (ISI-Cited publication).
  • Baskaran, V. M., Chang, Y. C, Loo, J., and Wong, K. (2015). Design and implementation of parallel video combiner architecture for multi-user video conferencing at ultra-high definition resolution. Multimedia Tools and Applications, 74(17), 6589–6622 (ISI-Cited publication).
  • Buhari, A. M., Ling, H-C., Baskaran, V. M., and Wong, K. (2015). Real-time High Resolution Down-sampling Algorithm on Many-core Processor for Spatially Scalable Video Coding. Journal of Electronics Imaging, 24(1), 013025-1-11 (ISI-Cited publication).
  • Baskaran, V. M., Chang, Y. C., Loo, J., and Wong, K. (2013). Software-based serverless endpoint video combiner architecture for high-definition multiparty videoconferencing. Journal of Network and Computer Applications, 36(1), 336–352 (ISI-Cited publication).
Conference proceedings
  • X. R. Soh, V. M. Baskaran, A. M. Buhari and R. C.-W Phan, “A Real Time Micro-expression Detection System with LBP-TOP on a Many-core Processor”, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Kuala Lumpur, December 2017.
  • A. M. Buhari, H.C. Ling, V. M. Baskaran and K. Wong, “Low Complexity Watermarking Scheme for Scalable Video Coding”, IEEE International Conference on Consumer Electronics Taiwan (ICCE-TW), pp. 1 – 2, Taipei, May 2016.
  • B. L. Yap and V. M. Baskaran, “Active Surveillance using Depth Sensing Technology - Part I: Intrusion Detection”, IEEE International Conference on Consumer Electronics Taiwan (ICCE-TW), pp. 1 – 2, Taipei, May 2016.
  • J. C. Chua and V. M. Baskaran, “Active Surveillance using Depth Sensing Technology - Part III: Real-time Intrusion Mapping with Remote Notification”, IEEE International Conference on Consumer Electronics Taiwan (ICCE-TW), pp. 1 – 2, Taipei, May 2016.
  • V. M. Baskaran, Y. C. Chang, J. Loo, K. Wong and M-T. Gan, "Dominant Speaker Detection Using Discrete Markov Chain for Multi-User Video Conferencing", IEEE International Conference on Consumer Electronics Taiwan (ICCE-TW), pp. 492 – 493, Taipei, Taiwan, June 2015.
  • Y. Tew, KokSheik Wong and V. M. Baskaran, "Dual layer video stream in HEVC through information hiding," IEEE International Conference on Consumer Electronics Taiwan (ICCE-TW), pp. 15-16, Taipei, Taiwan, June 2015.
  • W. Ong, V. M. Baskaran, P. K. Chong, Ettikan K.K and K.K Yong, “A Parallel Bloom Filter String Searching Algorithm on a Many-core Processor”, IEEE Conference on Open Systems (ICOS), pp. 1 – 6, Kuching, Malaysia, December 2013.
  • Y. Oh, C. Tan and V. M. Baskaran, “Active Participant Identification and Tracking Using Microsoft Kinect for Video Conferencing”, IEEE Conference on Open Systems (ICOS), pp. 7 – 12, Kuching, Malaysia, December 2013.
  • V. M. Baskaran, K. Wong, “Audio Mixer with Automatic Gain Controller for Software Based Multipoint Control Unit”, IEEE Asia Pacific Conference of Circuits and Systems (APCCAS), pp. 164-167, Kuala Lumpur, December 2010.
  • V. M. Baskaran, K. Wong, “Audio Mixer with Automatic Gain Controller for Software Based Multipoint Control Unit”, IEEE Asia Pacific Conference of Circuits and Systems (APCCAS), pp. 164-167, Kuala Lumpur, December 2010.
  • V. M. Baskaran, K. Wong, Y.S. Low, “Building a Real-Time High Definition Multiple Video Streaming System based on Intel IPP H.264”, IEEE Asia Pacific Conference of Circuits and Systems (APCCAS), pp. 156-159, Kuala Lumpur, Dec 2010.

Book/Book Chapter

  • V.M. Baskaran, “Chapter 9: Introduction to Parallel Programming”, C Programming for Beginners, 2nd Edition, ISBN13: 978-967-3490-646, Pearson Education South Asia, 2010.