PROFILE

Educational Qualifications

• • Ph.D. (Soft Computing)

  • M.Tech. (Information Security)

• B.Tech. (Information Technology)

Experience

• • National Institute Technology Puducherry, Karaikal, Assistant Professor, CSE, Jul 2018 - Till Date

• VIT, Vellore, Assistant Professor, School of Information Technology and Engineering, 5 years & 6 months

• Christ College of Engineering and Technology, Puducherry, Assistant Professor, CSE, 6 months

• Aspire Systems, Chennai, Software Engineer, 1 year 

Areas of Interest

• Artificial Intelligence, Industry 4.0

Funded Projects

• Title : Training and Demonstration of IoT Based UAV Assisted Smart Agriculture System to Farm Youths

• Funding_Agencies : NABARD 

• Budget : Rs.23,74,000/-

• Duration: 3 year 

• Status : Ongoing

• Title : Development of Augmented Reality Headset for Assembly and Integration Applications

• Funding_Agencies : ARTPARK 

• Budget : Rs.6,60,000/-

• Duration: 1 year 

• Status : Completed

List of the Research Publications:

International Journals

• S.Aarif Ahamed and Chandrasekar R. "Optimized Multiplicative LSTM Model with Attention Mechanism for Bitcoin Price Prediction using Sentiment Analysis", Inteligencia Artificial, 2025

• M. R. Mahesh Kumar and Chandrasekar Ravi, "A Novel Deep Reinforcement Learning Approach for Stability-Based Parallel Disassembly Sequence Planning Problem", SN Computer Science, 6(3), 1-19, 2025

• Mirothali Chand and Chandrasekar Ravi, “An Optimal Selective Disassembly Sequence Planning Framework for End-of-Life Uncertain Products,” National Academy Science Letters, pp.1-5, 2024

• Mirothali Chand, and Chandrasekar Ravi. "An Optimal Disassembly Sequence Planning for Complex Products using Enhanced Deep Reinforcement Learning Framework." SN Computer Science, 5(5), 1-24, 2024.

• Mirothali Chand, Chandrasekar Ravi. A Novel Reinforcement Learning Framework for Disassembly Sequence Planning using Q-Learning Technique Optimized using an Enhanced Simulated Annealing Algorithm. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Volume 38 , e5, 2024.

• Chandrasekar Ravi and Manoja Talagadadeevi. "A Study on Object Recognition and Tracking Techniques for Augmented Reality Applications", International Journal of Computational Vision and Robotics, 14(6), 589-614, 2024.

• Mirothali Chand and Chandrasekar Ravi. “A state-of-the-art literature survey on artificial intelligence techniques for disassembly sequence planning”, CIRP Journal of Manufacturing Science and Technology, 41, pp: 292-310, 2023.

• S.Aarif Ahamed and Chandrasekar R. “Bitcoin Price Prediction using Optimized Multiplicative LSTM with Attention Mechanism using Modified Cuckoo Search Optimization", Concurrency and Computation: Practice and Experience, 34(28), e7384, 2022

• S. Aarif Ahamed and Chandrasekhar Ravi. Novel Deep Learning Model for Bitcoin Price Prediction by Multiplicative LSTM with Attention Mechanism and Technical Indicators, International Journal of Engineering Systems Modelling and Simulation, 13(2), pp.164-177, 2022.

• Chandrasekar Ravi, Anmol Tigga, G. Thippa Reddy, Saqib Hakak, and Mamoun Alazab. “Driver Identification Using Optimized Deep Learning Model in Smart Transportation”. ACM Transactions on Internet Technology, 22(4), pp.1-17, 2022.

• Anil kumar Gulivindala,M V A Raju Bahubalendruni, Chandrasekar Ravi, Ejaz Ahmed, Mustufa Haider Abidi and Abdulrahman Al-Ahmari. “Automated Disassembly Sequence Prediction for Industry 4.0 Using Enhanced Genetic Algorithm.” Computers, Materials & Continua, Vol.69, No.2, pp.2531-2548, 2021

• S. Aarif Ahamed and Chandrasekar Ravi. Study of Swarm Intelligence Algorithms for Optimizing Deep Neural Network for Bitcoin Prediction. International Journal of Swarm Intelligence Research. 12(2), pp.22-38, 2021

• Anil Kumar Gulivindalaa, M.V.A. Raju Bahubalendruni, S.S.V. Prasad Varupalaa, and Chandrasekar Ravi. Exponential Moving Average Modelled Particle Swarm Optimization Algorithm for Efficient Disassembly Sequence Planning towards Practical Feasibility. International Journal of Performability Engineering. 17(3), pp.289-298, 2021

• Chandrasekar Ravi. Fuzzy Crow Search Algorithm- Based Deep LSTM for Bitcoin Prediction. International Journal of Distributed Systems and Technologies. 11(4), pp.53-71, 2020

• Chandrasekar Ravi and Neelu Khare. BGFS: Design and Development of Brain Genetic Fuzzy System for Data Classification. Journal of Intelligent Systems. 27(2), pp.231-247, 2018

• R.Chandrasekar and Neelu Khare. BSFS: Design and Development of Exponential Brain Storm Fuzzy System for Data Classification. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems. 25(2), pp.267-284, 2017

• Chandrasekar Ravi and Neelu Khare. An Adaboost Optimized CCFIS based Classification Model for Breast Cancer Detection. Journal of Engineering Science and Technology. 12(6), pp.1446-1459, 2017

• N Deepa and Chandrasekar Ravi. Dimension Reduction Using Principal Component Analysis for Pharmaceutical Domain. Research Journal of Pharmacy and Technology. 9(8), pp.1169-1173, 2016

• Arpita Barve, N.Deepa and Chandrasekar Ravi.  A Generalized Multi-Criteria Decision Making Model Based on Extension of ANP by Enhancing Pair Wise Comparison Techniques. Cybernetics and Information Technologies. 15(4), pp.3-12, 2015

• Chandrasekar Ravi, Neelu Khare and N. Deepa. NP-FARM: Negative and Positive Fuzzy Association Rule Mining in Transaction Dataset. Indian Journal of Science and Technology. 7(11), pp.1774–1779, 2014

• N. Deepa, Chandrasekar. R, R. Viswanathan and R. Sathiyaseelan. Dimension Reduction using Multivariate Statistical Model. International Journal of Applied Engineering Research. 9(14), pp.2531-2538, 2014

• Chandrasekar Ravi, P. S. Ramesh and N. Deepa. An Improved Method for Tracing IP Packet’s Source. Indian Journal of Science and Technology, 7(5), pp.577–580, 2014

Book Chapters

• Ravi Chandrasekar. Image Classification Using Deep Learning and Fuzzy Systems. 941. pp.513-520. 2020 

• Ravi Chandrasekar and Manimaran Praveensankar. Introduction of Blockchain and Usage of Blockchain in Internet of Things. pp.1-15. 2020

• Ravi Chandrasekar. Soft Computing-Based Early Detection of Parkinson's Disease Using Non-Invasive Method Based on Speech Analysis. pp.96-107. 2019

International Conferences

• Ravi Chandrasekar and Khare, Neelu. EO-ARM: An efficient and optimized k-map based positive-negative association rule mining technique. International Conference on Circuits, Power and Computing Technologies 2014(ICCPCT 2014). pp.1723-1727, 2015

No. of PhD Scholars: 05(02-completed, 02-pursuing)

Workshops Organized

• Coordinator for Five days ATAL FDP on "Development of Decentralized IoT Systems using Blockchain", 26-Dec-2020 to 30-Dec-2020.

• Coordinator for Five days ATAL Workshop on "Blockchain Application Development using Hyperledger and Ethereum", 27-Dec-2019 to 31-Dec-2019

• Coordinator for Five days National Workshop on "Blockchain Application Development using Hyperledger and Ethereum", 06-Mar-2019 to 10-Mar-2019.

Academic Contributions

Courses Taught

• Operating Systems

• Data Structures and Algorithms

• Digital Computer Fundamentals

• Machine Learning

• Network Security

• Automata and Formal Languages

Laboratory Development

• Computer Science and Engineering Laboratory

Workshops Attended

• Attended 6 days FDP on "Instructional Design and Delivery Systems" by NITTTR, December 2018.

Lectures Delivered

• Delivered guest lecture on topic "Fuzzy Inference System Optimization" in FDP "Recent Trends in Communication Engineering" organized by Department of Electronics and Communication Engineering, NITPY, September 7-11, 2020.

• Delivered guest lecture on topic "Point Cloud Mapping for AR Tracking and Registering" in Karyashala on "Immersive technologies and Wearable Devices for industrial and Engineering Applications" organized by Department of Mechanical Engineering, NITPY, February 26 - March 03, 2024.

Memberships of Professional Societies:

• IEI Member

Administrative Contributions

Institution Level

• Chairman (Housekeeping Committee)

• Chairman (Webteam), NITPY

• Convenor (Annual Techfest, Gyanith 2019), NITPY

• Single Point of Contact (SPoC) between NPIU and NIT Puducherry for MHRD ERP Project

• Initiated MoU with Anavadhya Softech Private Limited, Bengaluru 

Department Level

• Coordinator for Ph.D. Progress Seminars, NITPY

• Time Table Coordinator

• Faculty Advisor for IEI CSE Students' chapter

• Project Coordinator for M.Tech (CSE) 2020-22 Batch, NITPY

• Project Coordinator for B.Tech (CSE) 2017-21 Batch, NITPY

• Faculty Adviser for B.Tech (CSE) 2017-21 Batch, NITPY

• Faculty Adviser for B.Tech (CSE) 2020-24 Batch, NITPY

Other Responsibilities

• Innovation Club Member, NITPY

• Library Committee Member, NITPY

• Medical Care Committee Member, NITPY

• National Innovation and Startup Policy (NISP) Committee Member, NITPY