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Dr. M.Rohini

Assistant Professor (Sr. Gd.), TIFAC-CORE in Cybersecurity, School of Engineering, Coimbatore

Qualification: Ph.D
m_rohini@cb.amrita.edu
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Research Interest: Threat Intelligence and Anomaly Detection, Generative AI in Cybersecurity , Advanced Programming and Algorithms.

Bio Publications Research Grants Research Talks Delivered Membership Awards
Bio

Dr. M. Rohini serves as an Assistant Professor (Sr.Gr.) at TIFAC CORE in Cybersecurity at Amrita Vishwa Vidyapeetham, Coimbatore, with 13 years of teaching experience and over seven years in research. She earned her Ph.D. from Anna University, Chennai, in June 2022. Her expertise includes Cognitive disease prognosis using Generative AI, Automated AI driven security systems,Advanced Programming and Algorithms. She has published 24 Scopus-indexed articles and 8 Web of Science-indexed journal articles, with 123 citations and an h-index of 6. She has mentored numerous B.Tech and M.Tech projects, guiding student teams to success in National and International hackathons. She has filed two patents, with one granted, and secured research grants worth ₹6 Lakhs. She has been a peer reviewer for over 40 web of science journals, including Scientific Reports, Information in Medicine Unlocked, BMC Medical Informatics.

Publications

Journal Article

Year : 2024

Advanced hybrid optimization algorithms for energy efficient cloud resource allocation

Cite this Research Publication : Kumar MS, Hussain DM, Rohini M, Manoj SO, Advanced hybrid optimization algorithms for energy efficient cloud resource allocation, Radio Science, 2024.

Publisher : IEEE

Year : 2024

Decoding Parkinson’s Disease: A Deep Learning Approach to Handwriting Diagnosis

Cite this Research Publication : K Srinivasan, SO Manoj, M Rohini, RR Abirami, Decoding Parkinson's Disease: A Deep Learning Approach to Handwriting Diagnosis, Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis, 2024.

Year : 2024

Intelligent Alzheimer’s Diseases Gene Association Prediction Model Using Deep Regulatory Genomic Neural Networks

Cite this Research Publication : Rohini M, Oswalt Manoj S, Surendran D, Intelligent Alzheimer’s Diseases Gene Association Prediction Model Using Deep Regulatory Genomic Neural Networks, Journal of Alzheimer's Disease Reports, 2024

Year : 2022

Multiclassifier learning for the early prediction of dementia disease progression from MCI

Cite this Research Publication : M Rohini, D Surendran, Multiclassifier learning for the early prediction of dementia disease progression from MCI, International Journal of Intelligent Engineering Informatics Vol. 9, No. 5, 2022.

Year : 2022

FWS-DL: forecasting wind speed based on deep learning algorithms

Cite this Research Publication : Oswalt Manoj, JP Ananth, M Rohini, B Dhanka, N Pooranam, SR Arumugam, FWS-DL: forecasting wind speed based on deep learning algorithms, Artificial Intelligence for Renewable Energy Systems, 353-374,2022.

Year : 2022

Prognosis of Alzheimer’s Disease Progression from Mild Cognitive Impairment Using Apolipoprotein-E Genotype

Cite this Research Publication : M Rohini, D Surendran, Prognosis of Alzheimer's Disease Progression from Mild Cognitive Impairment Using Apolipoprotein-E Genotype, Journal of Electrical Engineering & Technology, 2022.

Publisher : Springer

Year : 2020

BLE Bluetooth Beacon based Solution to Monitor Egress of Alzheimer’s Disease Sufferers from Indoors

Cite this Research Publication : Rohini.M, Surendran.D, BLE Bluetooth Beacon based Solution to Monitor Egress of Alzheimer’s Disease Sufferers from Indoors, Procedia Computer Science, pp. 591-597,2020.

Publisher : Elsevier

Year : 2020

Toward Alzheimer’s disease classification through machine learning

Cite this Research Publication : Rohini.M, Surendran.D, Toward Alzheimer’s disease classification through machine learning, Soft computing,2020.

Publisher : Springer

Year : 2019

Classification of Neurodegenerative Disease Stages using Ensemble Machine Learning Classifiers

Cite this Research Publication : M. Rohini ,D. Surendran, Classification of Neurodegenerative Disease Stages using Ensemble Machine Learning Classifiers, Procedia Computer Science, pp. 66-73 2020.

Publisher : Elsevier

Conference Proceedings

Year : 2025

Honeypot-based IDS for cyber attack detection

Cite this Research Publication : Karthigha M, Priyadharshini MI, Rohini M, Nafeesa JR, ShreeAkshaya B, Yagavi R, Honeypot-based IDS for cyber attack detection, AIP Conference Proceedings,2025

Year : 2025

A novel data analytics methodology for predicting blockers in E-commerce sales funnel

Cite this Research Publication : Rohini M, Reshni S, Pavithra R, Shree NN, Surendran D, A novel data analytics methodology for predicting blockers in E-commerce sales funnel, AIP Conference Proceedings, 2025.

Year : 2022

Web Based Application for Healthy Habit Development Through Gamification with ML

Cite this Research Publication : R Gowthamani, KSK Rani, MI Priyadharshini, M Rohini, G Ebenezer, Web Based Application for Healthy Habit Development Through Gamification with ML, 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), 2022.

Publisher : IEEE

Year : 2022

EEG Based Stress Detection System Using Neural Network

Cite this Research Publication : M Rohini, I Akilan, S Aravind, R Shriraam, EEG Based Stress Detection System Using Neural Network, 2022 Second International Conference on Artificial Intelligence and Smart computing,2022.

Publisher : IEEE

Year : 2022

Automated Data Visualization System to Reinforce Mid-Day Meal Tracking Scheme

Cite this Research Publication : P Kavitha Rani, M Rohini, S Sureshkumar, S Sathiya, Automated Data Visualization System to Reinforce Mid-Day Meal Tracking Scheme, Innovations in Computer Science and Engineering, 2022.

Publisher : Springer

Year : 2021

A Comparative Approach To Predict Corona Virus Using Machine Learning

Cite this Research Publication : M Rohini, KR Naveena, G Jothipriya, S Kameshwaran, M Jagadeeswari, A Comparative Approach To Predict Corona Virus Using Machine Learning, 2021,International conference on artificial intelligence and smart systems, 2021.

Publisher : IEEE

Year : 2021

Alzheimer’s Disease Diagnosis Based on Ensemble of Multi-model Convolutional Neural Networks

Cite this Research Publication : M Rohini, D Surendran, V Karthiga, KB Monica, R Pooja, Alzheimer's Disease Diagnosis Based on Ensemble of Multi-model Convolutional Neural Networks, 2021 5th International Conference on Trends in Electronics and Informatics,2021.

Publisher : IEEE

Book Chapter

Year : 2023

Industrial Internet of things and Industry 4.0: a learner’s perspectives toward quantum technologies

Cite this Research Publication : N Soms, S Kalyani, S Nagarani, M Rohini, Industrial Internet of things and Industry 4.0: a learner’s perspectives toward quantum technologies, Quantum Computing and Artificial Intelligence, 2023.

Year : 2023

Adaptive Energy Intelligence Using AI/ML Techniques

Cite this Research Publication : R Gowthamani, K Sasi Kala Rani, M Manikandan, M Rohini, Adaptive Energy Intelligence Using AI/ML Techniques, Self‐Powered Cyber Physical Systems, 141-157, 2023.

Research Grants
  • Faculty Mentor for Project submitted to “MSME Idea Hackathon 3.0 (Women)”, Grant approved by the Project Monitoring & Advisory Committee, approved grant amount of Rs.5 Lakhs.
  • Sri Krishna College of Engineering and Technology SEED Project titled “AI Chatbot-Based Smart Kiosk system to Enhance the Accessibility and Efficiency of Information at Sri Krishna Institutions”. Amount-Rs.95,000/-
Research Talks Delivered
  • Karpagam Academy of Higher Education-Workshop on Evolution of Generative AI from Machine Learning
  • Sri Ramakrishna Engineering College-Seminar on Serverless Computing
Membership

ISTE Life Member

Awards
  • IEEE Certified Academic Mentor for Student Mentorship Program issued by IEEE India Council during January 2025.
  • Achieved Certificate of Competency from NVIDIA for Deep Learning, Generative Artificial Intelligence and CUDA Programming.
  • Received Best Faculty Award-Department of CSE for the Year 2022-2023 at Sri Krishna College of Engineering and Technology.
  • Virtusa Certified Full Stack Web Development Trainer.
  • Mentored Student Team, Won Team of Excellence, only Indian Team at Taiwan Presidential Hackathon 2022.
  • Faculty Mentor for Smart India Hackathon 2022,2023-Grand Finale held at Chandigarh, Punjab.
  • Faculty Mentor for KAVACH 2023-Cybersecurity Hackathon organized by MoE’s Innovation Cell, AICTE along with Bureau of Police Research and Development (BPR&D) (MHA) and Indian Cybercrime Coordination Centre (I4C) (MHA) Grand Finale held at Bhubaneswar, Odisha and secured Runner-up position.
  • Faculty Mentor for MANTHAN 2021-Cybersecurity Hackathon organized by MoE’s Innovation Cell, AICTE along with Bureau of Police Research and Development (BPR&D) (MHA) and Indian Cybercrime Coordination Centre (I4C) (MHA) and Won 1 Lakh Cash Prize.
  • Mentored the team MAPATHON375 for IIT Bombay-ISRO-AICTE Mapathon and Won.
  • Mentored the team Parallax View for IIT Bhubaneswar-AR VR Hackathon and obtained grant amount Rs.1 Lakh as SEED money for the start-up establishment,2022.
  • Received Star Faculty Award for contribution towards Placement Training during the year, 2019.
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