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Dr. Harini S

Associate Professor


PhD: Vellore Institute of Technology

Research Area: Distributed Architecture and Parallel Systems

Employee ID50159
Educational details (Please mention all the degrees with the latest first)
DegreePassed out yearSpecializationInstitute/University/ College
PhD2018Computer Science and EngineeringVellore Institute of Technology
M.Tech2009Computer Science and EngineeringCollege of Engineering Guindy
B.E./B.Tech2003Computer Science and EngineeringMadras University
Post-Doctoral Experience if anyNil
Research Details
Areas of SpecializationAcceleration Architecture for Deep Neural Networks, Real Time Processing for Medical Diagnosis through Deep Learning
Scopus ID
H-index (scopus)
Google Scholar ID
i10 index
On-going Consultancy Project Details
On-going Consultancy Project TitleEducational series – Cloud Computing and Technology

Redington India Ltd., Chennai

Digital Evolution and Public Cloud, AWS Virtual Desktop Solution

Ongoing Funded Project Details              
Ongoing Funded Project TitleSeed Fund from Vellore Institute of Technology



AI Based Multi-Stage Soil Classifier and Organic Crop Recommender Systems for Sustainable Agriculture Powered by Drone and IoT Technology


Patent Published Details
Patent Published TitleApplication No.: 202041025653

Published:           03/07/2020

Look Ahead Bus Architecture (LABARCH) for FPGA Embedded System

Book / Book Chapter Published Details
Harini, S., Ravikumar, A., Keshwani, N. (2022). Malware Prediction Analysis Using AI Techniques with the Effective Preprocessing and Dimensionality Reduction. In: Raj, J.S., Kamel, K., Lafata, P. (eds) Innovative Data Communication Technologies and Application. Lecture Notes on Data Engineering and Communications Technologies, vol 96. Springer, Singapore. Lecture Notes on Data Engineering and Communications Technologies book series, Volume 962022
Harini, S., Ravikumar, A., Thakkar, K. (2021). Parallel LU Decomposition Algorithm for Exa-Scale Computing Using Spark Ignite. In: Goyal, D., Gupta, A.K., Piuri, V., Ganzha, M., Paprzycki, M. (eds) Proceedings of the Second International Conference on Information Management and Machine Intelligence. Lecture Notes in Networks and Systems, vol 166. Springer, Singapore. Lecture Notes in Networks and Systems book series (LNNS,volume 166)2021
Harini, S., Ravikumar, A., Garg, D. (2021). VeNNus: An Artificial Intelligence Accelerator Based on RISC-V Architecture. In: Chaki, N., Pejas, J., Devarakonda, N., Rao Kovvur, R.M. (eds) Proceedings of International Conference on Computational Intelligence and Data Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 56. Springer, Singapore. Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT,volume 56)2020
Harini, S., Ravikumar, A. (2021). Vulnerability Analysis of FPGA Through Side-Channel Attacks in Cloud. In: Ranganathan, G., Chen, J., Rocha, Á. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 145. Springer, Singapore. Lecture Notes in Networks and Systems book series (LNNS,volume 145)2020
Raj, S., Chodnekar, S.P., Harish, T., Sriraman, H. (2019). eMDPM: Efficient Multidimensional Pattern Matching Algorithm for GPU. In: Tiwari, S., Trivedi, M., Mishra, K., Misra, A., Kumar, K. (eds) Smart Innovations in Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 851. Springer, Singapore. Advances in Intelligent Systems and Computing book series (AISC,volume 851)2018
Awards & Recognition Details (only national and international awards and recognitions)
·         Secured Second Rank in PG (M.E ) computer science and Engineering

·         Best Poster Award, ACM, 2013 for the paper “ Online repairing of hardware faults using


·         Research award for the year, VIT, 2016

·         Best Paper Award by Springer for “Self-Repairing Out-of-Order Processors using FPGA”.


Major International Collaboration Details  – Academic Collaboration Details
Working on “Real Time Medical Diagnosis for Breast Cancer using Accelerated Computing” with Dr. Muthu Subhash Kavitha, Nagasaki University
Working on a review paper with Dr. VijayKumar Chattu, University of Toronto in the title “Digital Health and Real-Time Medical Diagnosis”

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