Manoov R, PhD
Assistant Professor Senior of Computer Science & Engg.
Vellore Institute of Technology
Dr. Manoov R is a Senior Assistant Professor in the School of Computer Science and Engineering at Vellore Institute of Technology (VIT), Vellore with over 20 years of academic experience. A dedicated educator and researcher, he specializes in Bioinformatics and Machine Learning. He prioritizes research integrity and ethical practice, principles he models and instills in his teaching and project supervision. At VIT, he plays a key role in managing the university’s Moodle platform for over 30,000+ users and creates resources to help faculty with blended learning. His project supervision has led to patent filings and publications in reputed journals. Beyond academics, Dr. Manoov provides pro bono tech consultancy for NGOs and is certified in research ethics. He encourages students to follow ethics and purpose while developing creative ideas,and develop problem-solving mindset essential for successful entrepreneurship. He is a frequent speaker at faculty workshops, sharing his expertise on educational technology and assessment design. He combines technical skill with a strong commitment to pedagogical innovation and social responsibility. For more information: https://linkedin.com/in/manoov
Skills
R
70%
Statistics
60%
Moodle
70%
Experience
Assistant Professor Senior
Responsibilities include:
- Teaching
- Research
- Admin work
- Moodle Administration of VIT Vellore’s Moodle Infrastructure
Assistant Professor
Taught CSE Courses, trained on Entrepreneurship by National Entrepreneurship Network (NEN)
Assistant Professor
Taught CSE Courses; Notable event Organized- A two day “National Workshop on Software Quality Engineering” at SRM University jointly organised with Mr. Chandrakumar, President, SPIN (2008-11) in association with SPIN, Chennai with 80% participants from Industry
Lecturer
Taught CSE Courses; Seved as CSE Placement Coordinator; trained by WIPRO Mission10x
Taught CSE Courses, Served as Industry Internship Coordinator of CSE.
Accomplishments
CITI Program Certification - Human Research (Data or Specimens Only Research)
CITI Program certification in Human Research (Data or Specimens Only Research), completed under Massachusetts Institute of Technology Affiliates requirements. Valid through January 2029.
See certificate
CITI Program Certification - Conflicts of Interest management
CITI Program certification in Conflicts of Interest management, completed under Massachusetts Institute of Technology Affiliates requirements. Valid through December 2029.
See certificate
Patent Application - “Multimodal disaster response system with geospatial safe-zone routing”
Patent Application Filed (2025): Multimodal disaster response system with geospatial safe-zone routing. Application No. 202541116476 filed with Indian Patent Office. Developed geospatial routing algorithms for emergency response. Role: Research Contributor and Co-inventor.
Participated as a delegate in the 10th International Conference on Human Values in Higher Education (ICHVHE)
Participated in the 10th International Conference on Human Values in Higher Education (ICHVHE 2025), a global platform for education leaders to discuss value-based education aligned with SDGs. The conference attracted 4,800+ participants from 35 countries.
FDP on ‘NEP 2020 Orientation and Sensitization Programme’ under Malaviya Mission Teacher Training Programme (MM-TTP) of UGC
Electronic Data Capture and Clinical Research Data Analytics Project
Electronic Data Capture and Clinical Research Data Analytics: Pro bono consultancy for clinical research data management. Implemented data analytics protocols for research integrity.
FDP on “Internet of Things (IoT)” by Mizoram University.
See certificate
FDP on “Blockchain” by National Institute of Technology.
See certificate
FDP on “Blockchain” by Bangalore Institute of Technology.
See certificate
Learning to Teach Online by UNSW Sydney (The University of New South Wales)
Recent Posts
Projects
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In this project, our team successfully configured a REDCap system to support the client’s research endeavors. We began by thoroughly assessing their existing hardware, software, and IT environment (requirements and infrastructure) to guarantee compatibility with REDCap. Following this evaluation, we collaboratively installed and configured the REDCap software on a cloud-based server. Finally, we worked together to customize REDCap to perfectly align with the client’s specific workflows and data management needs.
Gallery
Recent Publications
Quickly discover relevant content by filtering publications.
(2025).
A Multi-Agent Framework for Zone-Based Last-Mile Delivery Optimization.
ICoRD 2025.
(2025).
A Novel RoPE-Enhanced Informer Approach for Accurate Remaining Useful Life Prediction of Lithium-Ion Batteries.
ICEI2024.
(2023).
Qiskit Simulation of CNOT Equivalent Circuits.
iQ-CCHESS'23.
(2020).
Churn Prediction and Retention in Banking, Telecom and IT Sectors Using Machine Learning Techniques..
Advances in Machine Learning and Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore.
(2019).
Securing the Data in Cloud Environment Using Parallel and Multistage Security Mechanism.
Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1057. Springer, Singapore.
Recent & Upcoming Talks
The talk introduced Machine Learning (ML) as a tool to solve critical global water challenges. A visual demonstration using the interactive resource “A Visual Introduction to Machine Learning” from R2D3 made key concepts like model training and inference understandable to all attendees.. It covered how ML algorithms like LSTMs and Random Forests are applied to forecast groundwater levels, Saltwater Intrusion (Model & predict saltwater movement), Management Optimization (Find optimal pumping strategy), and Data Gap Filling (Reconstruct missing data). The session highlighted that integrating data-driven ML techniques with hydrology is essential for achieving sustainable water resource management and meeting UN sustainability goals.
Popular Topics
Academic
Accuracy
Adaptation models
Alert system
Association prediction
Attention mechanisms
Battery Management Systems
Blockchain
Churn Prediction
Computational modeling
Consultancy
Data Gap Filling
Deep Learning
Fog Image Classification
Formative Assessment Design
H5P
Informer Model
LaTex
Leave-one-out cross validation
Moodle
Contact
Enter your name, email and message below:
- manoov.r@vit.ac.in
- SJT313 A21, Vellore Institute of Technology, Vellore, Tamil Nadu 632014
-
Monday 11:00 to 12:00
Friday 13:00 to 14:00 - Book an appointment
- DM Me