Dr. Prabu M is an Indian academician who is serving as an Assistant Professor [Sr.Gr] in the Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Chennai. He has 13 years of experience in teaching and research. Dr. Prabu M is an alumnus of VIT University, Vellore, Tamil Nadu, India, where he completed his Doctoral – Ph.D. in Computer Science and Engineering with support from ISRO-SAC, Ahmedabad. He has authored research papers that have been published in renowned international journals and conferences, and are indexed in both SCOPUS and SCI. His research primarily focuses on Computer Vision and Distributed Computing. He has served as a resource person and speaker at several conferences and workshops. He is a Life Member of ISDS Society – International Society for Development and Sustainability, IAENG International Association of Engineers, ISTE-Life Member Indian Society for Technical Education, Internet Society, IFERP-Institute for Engineering Research, and Publication. He holds an online certifications from Coursera, NPTEL and he has completed all the modules in the National Institute of Technical Teachers Training (NITTT) offered by AICTE.
Year : 2022
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
Year : 2022
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
Year : 2022
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
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
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
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
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
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
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
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.
Year : 2018
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.
Year : 2013
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.
| Degree | Specialization | Year of Graduation | Institution |
| PhD | School of Computing Science and Engineering | 2019 | VIT University, Vellore |
| MCA | Computer Applications | 2010 | Ganathipathy Tulsis Jain Engineering College, Vellore. |
| Organization | Designation | Years |
| VIT University, Bhopal
February 2022 to March 2023 |
Assistant Professor | 1 |
| CHRIST (Deemed to be University)
April 2019 to February 2022 |
Assistant Professor | 3 |
| VIT University, Vellore.
July 2017 to April 2019 |
Assistant Professor | 2 |
| VIT University, Vellore.
January 2015 to June 2017 |
Teaching Research Associate | 2Y 6M |
| VIT University, Vellore.
May 2012 to December 2014 |
Junior Research Fellow | 2Y 7M |
| Loyola College, Nungambakkam, Chennai.
October 2010 to April 2012 |
Junior Research Fellow | 1Y 6M |
| Sl.No. | Name of the Workshop/FDP/Training programme | Name of Organiser | Level |
| 1 | Two days online Workshop on “Industrial Impact of Artificial Intelligence in Cloud Computing” | Department of Computational Intelligence, SRM Institute of Science & Technology | International |
| 2 | Two Week International FDP on The Era of Change – Recent Advancements of Machine Learning in terms of AI & IoT | SRM Institute of Science and Technology | International |
| 3 | FDP on Outcome Based Education | Institute of Information Technology and Management | International |
| 4 | FDP on Advance Cyber Security and Forensics | IIT Kanpur, IIT Kanpur | International |
| 5 | FDP on Python | IIT Kanpur | International |
| 6 | FDP on An Approach to Enterprise Resource Planning | IIT Kanpur | International |
| 7 | Faculty Development Programme (FDP I) | CHRIST (Deemed to be University), | International |
| 8 | FDP on Website Development using WordPress | IIT Kanpur, IIT Kanpur | International |
| 9 | Amazon AI Conclave | AWS India | International |
| 10 | Two days International FDP on Assessment and Tools | SRM Institute of Science and Technology | International |
| 11 | Big Data – Capstone Project | Coursera and UCSanDiego | International |
| 12 | Specialization in Big Data | Coursera and UCSanDiego | International |
| 13 | Specialization in Machine Learning | Coursera and University of Washington | International |
| 14 | Machine Learning: Regression | Coursera and University of Washington | International |
| 15 | Machine Learning: Clustering & Retrieval | Coursera and University of Washington | International |
| 16 | Machine Learning: Classification | Coursera and University of Washington | International |
| 17 | Machine Learning Foundations: A Case Study Approach | Coursera and University of Washington | International |
| 18 | IEEE Reference Management Tool for Research Articles and Thesis Writing | IEEE – Bangalore Section | International |
| 19 | Managing Big Data with MySQL | Coursera and Duke University | International |
| 20 | AI For Everyone | Coursera and Deeplearning.ai | International |
| 21 | Learning to Teach Online | Coursera and UNSW Sydney | International |
| 22 | Linux for Developers | Coursera and Linux Foundation | International |
| 23 | Feature Engineering | Coursera and Google Cloud | International |
| 24 | Specialization in Machine Learning with TensorFlow on Google Cloud Platform | Coursera and Google Cloud | International |
| 25 | Building Resilience in Body and Mind | IEEE – Bangalore Section | International |
| 26 | End-to-End Machine Learning with TensorFlow on GCP | Coursera and Google Cloud | International |
| 27 | Art and Science of Machine Learning | Coursera and Google Cloud | International |
| 28 | Intro to TensorFlow | Coursera and Google Cloud | International |
| 29 | How Google does Machine Learning | Coursera and Google Cloud | International |
| 30 | Bayesian Methods for Machine Learning | Coursera and HSE National Research University | International |
| 31 | Image Understanding with TensorFlow on GCP | Coursera and Google Cloud | International |
| 32 | Launching into Machine Learning | Coursera and Google Cloud | International |
| 33 | How to Win a Data Science Competition: Learn from Top Kagglers | Coursera and HSE National Research University | International |
| 34 | Image Understanding with TensorFlow on GCP | Coursera and Google Cloud | International |
| 35 | End-to-End Machine Learning with TensorFlow on GCP | Coursera and Google Cloud | International |
| 36 | Applied Data Science with Python (Specialization) | Coursera and University of Michigan | International |
| 37 | Data Science: Foundations using R (Specialization) | Coursera and Johns Hopkins University | International |
| 38 | Deep Learning Specialization | Coursera and Deeplearning.ai | International |
| 39 | Applied Machine Learning in Python | Coursera and University of Michigan | International |
| 40 | Applied Plotting, Charting & Data Representation in Python | Coursera and University of Michigan | International |
| 41 | Applied Social Network Analysis in Python | Coursera and University of Michigan | International |
| 42 | Applied Text Mining in Python | Coursera and University of Michigan | International |
| 43 | Big Data Integration and Processing | Coursera and University of California San Diego | International |
| 44 | Big Data Modeling and Management Systems | Coursera and University of California San Diego | International |
| 45 | Capstone: Retrieving, Processing, and Visualizing Data with Python | Coursera and University of California San Diego | International |
| 46 | Convolutional Neural Networks | Coursera and Deeplearning.ai | International |
| 47 | Crash Course on Python | Coursera and Google | International |
| 48 | Google Cloud Platform Big Data and Machine Learning Fundamentals | Coursera and Google Cloud | International |
| 49 | Graph Analytics for Big Data | Coursera and University of California San Diego | International |
| 50 | Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | Coursera and Deeplearning.ai | International |
| 51 | Introduction to Big Data | Coursera and University of California San Diego | International |
| 52 | Introduction to Data Science in Python | Coursera and University of Michigan | International |
| 53 | Machine Learning With Big Data | Coursera and University of California San Diego | International |
| 54 | Neural Networks and Deep Learning | Coursera and Deeplearning.ai | International |
| 55 | Programming for Everybody (Getting Started with Python) | Coursera and University of Michigan | International |
| 56 | Python Data Structures | Coursera and University of Michigan | International |
| 57 | R Programming | Coursera and Johns Hopkins University | International |
| 58 | Sequence Models | Coursera and Deeplearning.ai | International |
| 59 | Structuring Machine Learning Projects | Coursera and Deeplearning.ai | International |
| 60 | Using Python to Access Web Data | Coursera and University of Michigan | International |
| 61 | A Crash Course in Data Science | Coursera and Johns Hopkins University | International |
| 62 | Computer Vision – Object Tracking with OpenCV and Python | Coursera and rhyme | International |
| 63 | Convolutional Neural Networks in TensorFlow | Coursera and Deeplearning.ai | International |
| 64 | Exploratory Data Analysis | Coursera and Johns Hopkins University | International |
| 65 | Reproducible Research | Coursera and Johns Hopkins University | International |
| 66 | Getting and Cleaning Data | Coursera and Johns Hopkins University | International |
| 67 | The Data Scientist?s Toolbox | Coursera and Johns Hopkins University | International |
| 68 | Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning | Coursera and Deeplearning.ai, Coursera and Deeplearning.ai | International |
| 69 | COVID-19: What You Need to Know (CME Eligible) | Coursera and Interstate Postgraduate Medical Association | International |
| 70 | Computer Vision Basics | Coursera | International |
| 71 | Introduction to Programming with MATLAB | Coursera and VANDERBILT UNIVERSITY | International |
| 72 | Getting Started with AWS Machine Learning | AWS – Coursera | International |
| 73 | Data Science Math Skills | DUKE UNIVERSITY – Coursera | International |
| 74 | The Top 5 Machine Learning Libraries in Python | Udemy | International |
| 75 | AWS Essentials | Udemy | International |
| 76 | Master Data Analysis with Python | Udemy | International |
| 77 | Hadoop Starter Kit | Udemy | International |
| 78 | Machine Learning model Building and Deployment | Udemy | International |
| 79 | Hadoop for Non Java Developers | Udemy | International |
| 80 | Machine Learning A-Z? Hands-On Python & R In Data Science | Udemy | International |
| 81 | Three Days National Level FDP on Perceptions of Research, Paper Publication and Overview of Patent Filing | SRM Institute of Science and Technology | National |
| 82 | NPTEL E-Awareness Workshop | IIT Madras, IIT Madras | National |
| 83 | Orientation towards Technical Education & Curriculum Aspects. | AICTE – National Institute of Technical Teachers Training and Research | National |
| 84 | Hands on FDP: Data Science using Python | Jeppiaar Institute of Technology | National |
| 85 | FDP on Python Programming | Sona College of Technology, Salem | National |
| 86 | Online Workshop On FREE MOOC TO COMPLEMENT ENGINEERING EDUCATION | IEEE – Bangalore Section | National |
| 87 | Scope of Artificial Intelligence and Machine Learning in Automation | Velalar College of Engineering and Technology | National |
| 88 | Current Trends in Software Engineering: Agile and DevOps | Department of Computer Science (PG), Kristu Jayanti College (Autonomous), Bengaluru. | National |
| 89 | EFFECTIVE ONLINE ENGINEERING EDUCATION: TIPS & TRICKS | IEEE – Bangalore Section | National |
| 90 | Python for Data Science | NPTEL (National Programme on Technology Enhanced Learning), | National |
| 91 | Faculty Development Programme | NPTEL-AICTE | Regional |
