• Selected as approved supervisor of APJ Abdul Kalam Technological University (APJAKTU) from June 2023.
• Selected as a Member of the Board of Studies in Computer Science and Engineering, APJ Abdul Kalam Technological University (APJAKTU), from August 2024.
• Recognized as an Active NPTEL SPOC from 2017 onwards.
• NPTEL Mentor for “Joy of Computing using Python” during 2020-21,  2021-22.
• Mentor of Smart India Hackathon during 2017 onwards

• NBA Coordinator 
• IQAC Department representative
• Member, Autonomy Curriculum Committee
• Internal Complaints Committee(ICC) Presiding Officer
• Gender Equity Cell Member
• SEDGs(Socio-Economically Disadvantaged Groups Member
• Swayam (NPTEL) SPOC
• Institution Representative of IITM(NPTEL) online exams
• NAAC Department Coordinator 
• DAC, DQAC, PAC member of CSE Department
• KTU Internal Auditor
• Core committee member for various institution/department level activities
• Reviewer and session chair of various conferences
• KTU Question Paper Setter for B.Tech exams
• Ph.D internal DC member of different scholars
• Mentor of Smart India Hackathon during 2017, 2018, 2021

Indian Society for Technical Education (ISTE) – Life Member No : LM 101713

• Ph.D Research Title: QoS Oriented Dynamic and Energy Aware Resource Allocation Schemes for High Performance Computing Clouds.

Centre: Anna Unversity, Chennai

Journal/Conference Publications:

• Reshmi R, Achyuth Anilkumar, Anagha Sundar, Ananthakrishnan T H, AnuSree Prakash, “Enhancing Academic Project Management with PAMS”, Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA) 18 July 2025 (pp. 1-6). IEEE.
• Aaron Kurian, Anoop Berly, Derick Figarus, Doan Biju, Reshmi R, “Literature Review on Techniques and Approaches for Handwritten Answer Script Evaluation”, Proceedings of the Third National Conference on Artificial Intelligence and Cognitive Computing, 18 – 19 December 2024 (NCAICC24).
• Sabu M K, Neeraj Krishna M S, Reshmi R, “Building Rule Base for Decision Making-A Fuzzy‐Rough Approach (Book Chapter), Data Engineering and Data Science: Concepts and Applications. 2023 Sep 15:255-77.
• Dr.Reshmi R, Angel Shaju, Ann Maria Anto, Aparna Joshi, Ashmi Subramanian, “Image Steganography: A Short literature review and suggested improvement for OMR based Steganography technique” Proceedings of the Second National Conference on Artificial Intelligence, 18-19 November 2023.
• K Sridar, R Reshmi, SS Raj, “Implementation of Base Band Communication Channel over a Distorted Channel”, Mathematical Statistician and Engineering Applications, 71(4), 8299-8309(2022).
• R Reshmi, DS Saravanan, “Load prediction using (DoG–ALMS) for resource allocation based on IFP soft computing approach in cloud computing”, Soft Computing (Springer) 24, 15307-15315 (2020).
• R R, D Shanthi, “Improving Node Prediction Based On QoS Using Supervised Learning Techniques”, Caribbean Journal of Science 53(1), 1148-1164 (2019).
• L Raj, R Reshmi, “Image Haze Removal Techniques – A Personal perspective and Assessment”, International Journal of Advanced Research in Computer Science 8 (3) (2017).
• Reshmi R, D Shanthi, “QoS Oriented Node Selection in High Performance Clusters”, Asian Journal of Information Technology, Volume 15(8), pg1307-1313, Medwell Journals, (2016).
• Xavier, R Reshmi, “Visibility Restoration Algorithm using Bilateral  Filtering”, International Journal of Computer Applications, Volume 975 (2016).
• S Xavier, R Reshmi, “Automatic detection and recognition of text in traffic sign boards based on word recognizer”, IJIRST–International Journal for Innovative Research in Science & Technology(2016).
• R Raveendran, D S Saravanan, “QoS Oriented Enhancement based on the Analysis of Dynamic Job Scheduling in HPC”, International Journal of Grid and High Performance Computing (IJGHPC), Business Intelligence: Concepts, Methodologies, Tools, and Applications(2016).
• R Reshmi, D Shanthi, “Batch Scheduling based on QoS in HPC-A Survey”, International Journal of Networking & Parallel Computing 2 (2), 1-8 (2013).
• R Reshmi, D Santhi, “A study on Efficiency of Dynamic Allocation using QoS metrics in High Performance Computing”, International Journal of Computer Science and Electronics Engineering (IJCSEE), 2013.
• K Sridar, R Reshmi, SS Raj, “Implementation of Base Band Communication Channel over a Distorted Channel”, Mathematical Statistician and Engineering Applications, 71(4), 8299-8309(2022).
• R Reshmi, DS Saravanan, “Load prediction using (DoG–ALMS) for resource allocation based on IFP soft computing approach in cloud computing”, Soft Computing 24, 15307-15315 (2020).
• R R, D Shanthi, “Improving Node Prediction Based On QoS Using Supervised Learning Techniques”, Caribbean Journal of Science 53 (1), 1148-1164 (2019).
• L Raj, R Reshmi, “Image Haze Removal Techniques – A Personal Perspective and Assessment”, International Journal of Advanced Research in Computer Science 8 (3) (2017).
• Reshmi R, D Shanthi, “QoS Oriented Node Selection in High Performance Clusters”, Asian Journal of Information Technology, Volume 15(8), pg 1307-1313, Medwell Journals, (2016).
• S Xavier, R Reshmi, “Visibility Restoration Algorithm using Bilateral Filtering”, International Journal of Computer Applications , Volume 975 (2016).
• S Xavier, R Reshmi, “Automatic detection and recognition of text in traffic sign boards based on word recognizer”, IJIRST–International Journal for Innovative Research in Science & Technology(2016).
• R Raveendran, D S Saravanan, “QoS Oriented Enhancement based on the Analysis of Dynamic Job Scheduling in HPC”, International Journal of Grid and High Performance Computing (IJGHPC),Business Intelligence: Concepts, Methodologies, Tools, and Applications (2016).
• R Reshmi, D Shanthi, “Batch Scheduling based on QoS in HPC-A Survey”, International Journal of Networking & Parallel Computing 2 (2), 1-8 (2013).
• R Reshmi, D Santhi, “A study on Efficiency of Dynamic Allocation using QoS metrics in High Performance Computing”,International Journal of Computer Science and Electronics Engineering (IJCSEE), 2013.

• • Workshop on High Performance Computing in Engineering Applications (HPCEA), organized by National Institute of Technology – Warangal, 28/02/24 to 03/03/24.
  • FDP on “Applications of Machine Learning Techniques in Sustainable Technologies, organized by National Institute of Technology – Rourkela, 24/01/24 to 28/01/24.
  • FDP on AI Trends and Industrial Use Cases – Contemporary and Future, organized by FISAT in association with TCS, 25/09/23 to 30/09/23.
  • FDP on BlockChain and Security in Computing, organized by Sree Narayana Gurukulam College of Engineering, 14/08/23 to 19/08/23.
  • FDP on Virtual Reality , organized by Federal Institute of Science and Technology, 27/7/23 to 29/7/23. 
  • FDP on Research Paper writing, Proposal drafting, and Patenting Strategies, organized by Madanapalle Institute of Science and Technology, 22/05/23 to 26/05/23.
  • FDP on AI/ML enabled IoT Networks , organized by Annant Gyan, 24/04/23 to 30/04/23.
  • FDP on Distributed Computing, organized by Sree Narayana Gurukulam College of Engineering, 30/01/23 to 01/02/23.
  • FDP on Data Science Using Python, organized by Mangalam College of Engineering, 24/01/23 to 26/01/23.
  • FDP on Web Application Development and application deployment in cloud, organized by FISAT,  29/09/22 to 2/9/22.
  • FDP on ABC of Machine Learning, organized by TKM, Kollam 27/04/22 to  01/05/22.
  • FDP on Location Tracking of Internet of Things, organized by IITM, 21/03/22 to 26/03/22.
  • FDP on Inculcating Universal Human Values in Technical Education, organized by AICTE, 6/12/21 to 10/12/21.
  • FDP on Cloud and Fog Computing Platforms for IoT Applications, organized by NIT, Warangal, 02-08-2021 to 06-08-2021.
  • FDP on Practical Data Science, organized by St. Joseph College, Pala, 19/07/21 to 23/07/21.
  • FDP on Data Science for the next decade, organized by ToCH Institute of Science & technology, 5/07/21 to 9/07/21.
  • FDP on BlockChain Technology and Cyber Security, organized by College of Engineering, Vadakara, 16/03/21 to 20/03/21.
  • FDP on Exploring Image Processing and Computer Vision using Python, organized by College of Engineering Kidangoor, 01/03/21 to 05/03/21.
  • FDP on High Performance Computing and deep learning for image and text analysis, organized by Mar Baselios, Trivandrum, 22-02-2021 to 27-02-2021.

• NBA accreditation process, KMEA Engineering college during 2022-23.
• Reviewer and Chair of panel session ICACA 2021, ACCTHPA (International Conference).
• Session on Outcome Based Education, Department of Computer Applications, FISAT

B.Tech:

• Detection of malicious Code Variants based on Deep learning
• Augmented Reality 3D Model Visualization App for Learning
•  Automatic Generation of Webpage from Hand Drawn Sketches
• Hand Gesture Recognition for Assisting Deaf People
• Credit Card Fraud Detection Using Deep Learning
• Coverless Image Steganography
• Project Allocation and Management 
• Kubernets Oriented Microservice Placements with Dynamic Resource Allocation

M.Tech:

• Image Haze Removal
• Visibility Restoration

• Algorithm Analysis and Design
• Theory of  Computation
• Formal Languages and Automata Theory
• Data Structures
• Graph Theory and Combinatorics
• Discrete Computational Structures
• Number Theory
• Cryptographic Algorithms
• Artificial Intelligence
• Computer Networks
• Compiler Construction
• Problem Solving and Computer Programming
• C programming
• Introduction to Python Programming
• High Performance Computing
• Grid Computing
• Distributed Computing

North Block Room no: NB 302

Mail : reshmiajay@fisat.ac.in

Pn No:
04842725237