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Dr. Prabu M

Assistant Professor (Sl.Gd) , Department of Computer Science and Engineering, School of Computing, Chennai. 

Qualification: MCA, Ph.D
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Scopus Author ID
Research Interest: Digital Image Processing, Distributed Computing, Satellite Image Processing, Remote Sensing, Artificial Intelligence & Machine Learning, Cybersecurity

Bio

Dr. Prabu M is an Indian academician who is serving as an Assistant Professor (Sl.Gd) in the Department of Computer Science and Engineering, School of Computing, Chennai.

He has 15 years of experience in teaching and research. He completed his Ph.D. in Computer Science and Engineering from VIT University, Vellore, in 2019, with research support from ISRO-SAC, Ahmedabad. His research focuses on Computer Vision and Distributed Computing, and he has published several papers in reputed international journals and conferences indexed in SCOPUS and SCI. He has served as a resource person and speaker at conferences, workshops, and faculty development programs. He is a Life Member of professional bodies including ISDS, IAENG, ISTE, Internet Society, and IFERP, and has completed certifications from Coursera, NPTEL, and NITTT (AICTE). 

Publications

Journal Article

Year : 2025

The Synergy of DARQ Technologies: Integration and Future Prospects

Cite this Research Publication : Vajeem Hamiid M, Vijay N, J Umamageswaran, Prabu M, The Synergy of DARQ Technologies: Integration and Future Prospects, 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE), IEEE, 2025, https://doi.org/10.1109/iccrtee64519.2025.11052901

Publisher : IEEE

Year : 2025

Developing a More Adaptive and Dynamic Trust Evaluation System Using a Task Role Based Access Control Module (T-RBAC)

Cite this Research Publication : J. Umamageswaran, Anish Shivakumar, Achanta Srinivas Varshith, Prabu M, Developing a More Adaptive and Dynamic Trust Evaluation System Using a Task Role Based Access Control Module (T-RBAC), 2025 International Conference on Data Science and Business Systems (ICDSBS), IEEE, 2025, https://doi.org/10.1109/icdsbs63635.2025.11031714

Publisher : IEEE

Year : 2025

Enhancing Cloud Gaming Performance Through Optimization Techniques Leveraging Hierarchical Optical Networks

Cite this Research Publication : Ramaswamy Monisha, Malyadri Reddy Nandyala, Umamageswaran J, Prabu M, Enhancing Cloud Gaming Performance Through Optimization Techniques Leveraging Hierarchical Optical Networks, 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE), IEEE, 2025, https://doi.org/10.1109/iccrtee64519.2025.11053110

Publisher : IEEE

Year : 2025

Hybrid Xgboost-Lstm Framework for Adaptive Touch Behavior Biometrics: Addressing Behavioral Drift in Continuous Mobile Authentication

Cite this Research Publication : Rupa Atchaya A S, Umamageswaran Jambulingam, Prabu M, Hybrid Xgboost-Lstm Framework for Adaptive Touch Behavior Biometrics: Addressing Behavioral Drift in Continuous Mobile Authentication, 2025 International Conference on Data Science and Business Systems (ICDSBS), IEEE, 2025, https://doi.org/10.1109/icdsbs63635.2025.11031584

Publisher : IEEE

Year : 2025

Enhancing Browser Security: A Real-Time NLP and Image-Based Threat Detection Approach

Cite this Research Publication : Prithi G, Gowtham Nikhil, Prabu M, Enhancing Browser Security: A Real-Time NLP and Image-Based Threat Detection Approach, 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE), IEEE, 2025, https://doi.org/10.1109/iccrtee64519.2025.11052962

Publisher : IEEE

Year : 2025

Evaluation of Deep Learning Architectures for PCB Defect Detection in One-Stage and Two-Stage Models

Cite this Research Publication : Viksith Bardia, Vidhun Roshan, M Prabu, Evaluation of Deep Learning Architectures for PCB Defect Detection in One-Stage and Two-Stage Models, 2025 IEEE International Conference on Contemporary Computing and Communications (InC4), IEEE, 2025, https://doi.org/10.1109/inc465408.2025.11256474

Publisher : IEEE

Year : 2025

A Novel Deep Learning-Driven Multi-Sensor Satellite Image Fusion Framework for Enhanced Crop Yield Forecasting

Cite this Research Publication : N. Yedukondalu, Prabu M, A Novel Deep Learning-Driven Multi-Sensor Satellite Image Fusion Framework for Enhanced Crop Yield Forecasting, 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE), IEEE, 2025, https://doi.org/10.1109/iccrtee64519.2025.11052997

Publisher : IEEE

Year : 2025

Quantum-Enhanced Adaptive Defense System for Network Threat Detection

Cite this Research Publication : Dhivyasree T, Prabu M, Quantum-Enhanced Adaptive Defense System for Network Threat Detection, 2025 Third International Conference on Networks, Multimedia and Information Technology (NMITCON), IEEE, 2025, https://doi.org/10.1109/nmitcon65824.2025.11187517

Publisher : IEEE

Year : 2025

Revolutionizing Special Education: The impact of AI and data science on personalized learning

Cite this Research Publication : M. Diviya, M. Subramanian, M. Prabu, Thangavel Murugan, Revolutionizing Special Education, Driving Quality Education Through AI and Data Science, IGI Global, 2025, https://doi.org/10.4018/979-8-3693-8292-9.ch004

Publisher : IGI Global

Year : 2022

Industrial-iot-hardware security-improvement using plan load optimization method in cloud

Cite this Research Publication : Basheer, S., Gopu, M., Mathew, R.M., Bivi, M.A., Prabu, M. Industrial-iot-hardware security-improvement using plan load optimization method in cloud, (2022). International Journal of System Assurance Engineering and Management, 13 (6), p. 3108.

Year : 2022

Powerful basic frequency extraction from monophonic signs utilizing versatile sub-band separating

Cite this Research Publication : Loheswaran, K., Subba Ramaiah, V., Srinivasa Rao, S., Malathi, P., Prabu, M., Niveditha, V.R. Powerful basic frequency extraction from monophonic signs utilizing versatile sub-band separating (2022). International Journal of Speech Technology, 25, p. 13.

Publisher : Research Gate

Year : 2022

An Efficient Ensemble Method Using K-Fold Cross Validation for the Early Detection of Benign and Malignant Breast Cancer

Cite this Research Publication : Mahesh, T.R., Kaladevi, A.C., Balajee, J.M., Vivek, V., Prabu, M., Muthukumaran, V. An Efficient Ensemble Method Using K-Fold Cross Validation for the Early Detection of Benign and Malignant Breast Cancer (2022). International Journal of Integrated Engineering, 14 (7), pp. 204-216.

Publisher : International Journal of engineering internationals

Year : 2021

Design and Evaluation of Wi-Fi Offloading Mechanism in Heterogeneous Networks

Cite this Research Publication : Vinoth Kumar, V., Ramamoorthy, S., Dhilip Kumar, V., Prabu, M., Balajee, J.M. Design and Evaluation of Wi-Fi Offloading Mechanism in Heterogeneous Networks (2021) International Journal of e-Collaboration, 17 (1), pp. 62-70.

Year : 2020

Canopy removal on satellite images using classification and contrast enhancement

Cite this Research Publication : Prabu, M. Canopy removal on satellite images using classification and contrast enhancement, (2020). International Journal of Scientific and Technology Research, 9 (1), pp. 349-353.

Year : 2019

Distributed computing model of multispectral time series data analysis for chlorophyll concentration determination using ocean color monitor-2 data

Cite this Research Publication : Prabu, M., Anouncia, S.M. Distributed computing model of multispectral time series data analysis for chlorophyll concentration determination using ocean color monitor-2 data ,(2019). Journal of Testing and Evaluation, 47 (6)

Year : 2016

NDVI generation of chlorophyll from OCM data for the Indian ocean region using multispectral images

Cite this Research Publication : Prabu, M., Margret Anouncia, S. NDVI generation of chlorophyll from OCM data for the Indian ocean region using multispectral images (2016) Research Journal of Pharmaceutical, Biological and Chemical Sciences, 7 (5), pp. 2855-2866.

Year : 2014

Fuzzy-based satellite image classification to find greenery and used land

Cite this Research Publication : Suresh Kumar, N., Margret Anouncia, S., Prabu, M. Fuzzy-based satellite image classification to find greenery and used land (2014) International Journal of Tomography and Simulation, 25 (1), pp. 75-85.

Book

Year : 2022

Outcomes of Best Practices in Classroom Research

Cite this Research Publication : P. Shanmuga Sundari, Seng Tong Chong, M. Prabu, 2022. Outcomes of Best Practices in Classroom Research. First Edition Publisher: L’ Ordine Nuovo Publication, India. ISBN: 978-93-92995-10-1.

Publisher : Ordine Nuovo

Conference Paper

Year : 2022

Improved Computer Vision-based Framework for Electronic Toll Collection

Cite this Research Publication : Mathews, M.S., Prabu, M., Pitchai, A., Roberts, D.B., Rahul, G. Improved Computer Vision-based Framework for Electronic Toll Collection (2022) Proceedings of the Confluence 2022 - 12th International Conference on Cloud Computing, Data Science and Engineering, pp. 213-216.

Publisher : Proceedings of the Confluence

Book Chapter

Year : 2018

Prediction of land cover changes in Vellore district of Tamil Nadu by using satellite image processing

Cite this Research Publication : Prabu, M., Anouncia, S.M. Prediction of land cover changes in Vellore district of Tamil Nadu by using satellite image processing (2018) Knowledge Computing and its Applications: Knowledge Computing in Specific Domains, 2, pp. 87-100.

Patents

Year : 2013

Application of satellite remote sensing to find soil fertilization by using soil colour

Cite this Research Publication : Suresh Kumar, N., Margret Anouncia, S., Prabu, M. Application of satellite remote sensing to find soil fertilization by using soil colour (2013) International Journal of Online Engineering, 9 (2), pp. 44-49.

Qualifications
2013 – 2019 Ph.D. (Computer Science & Engineering)
Vellore Institute of Technology
Title:
Distributed Satellite Data Processing Framework for Determining Vegetation Index.
2007 – 2015 Master of Computer Applications (M.C.A.)
Anna University
Professional
Period Position Institution
Mar 2023 – Present Assistant Professor (Selection Grade) Amrita Vishwa Vidyapeetham, Chennai
2022 – 2023 Assistant Professor VIT Bhopal University
2019 – 2022 Assistant Professor CHRIST (Deemed to be University), Bangalore
2012 – 2019 Assistant Professor (Junior) / Teaching Research Associate (TRA) ISRO Project – VIT, Vellore
2010 – 2012 Junior Research Fellow DST – Loyola College, Chennai
Technical Skills
  • Core Areas:
    Artificial Intelligence, Machine Learning, Deep Learning, Digital Image Processing, Distributed Computing
  • AI/ML Techniques & Models:
    CNN, LSTM, BERT, Federated Learning, Ensemble Methods
  • Tools & Frameworks:
    TensorFlow, Keras, Scikit-learn, OpenCV
  • Data & Analytics:
    Data Preprocessing, Feature Engineering, Model Evaluation
  • Domain Expertise:
    Satellite Image Processing, Remote Sensing, Cybersecurity, Computer Vision
  • Other Skills:
    Research Methodology, Scientific Writing, Academic Project Guidance
Workshop

Workshops / Training Programs Attended

  • Successfully completed NITTT (AICTE) training program for faculty development
  • Completed multiple NPTEL certification courses in Computer Science and Engineering domains
  • Completed professional certification courses on Coursera related to Artificial Intelligence, Machine Learning, and Data Science
  • Participated in various Faculty Development Programs (FDPs), workshops, and seminars in areas such as AI, Cloud Computing, and Distributed Systems
  • Attended workshops on emerging technologies including Deep Learning, Cybersecurity, and Remote Sensing applications
Courses Taught
  • Distributed Systems
  • Cloud Computing
  • Computer Networks
  • Operating Systems
  • Artificial Intelligence
  • Machine Learning
  • Digital Image Processing
  • Web Technologies / Internet Programming
  • Database Management Systems
  • Data Structures and Algorithms
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