DEPARTMENT OF INFORMATION TECHNOLOGY

Dr. P. Gnanasekaran

Designation:Assistant Professor (Sel. Gr.)
Nature of Employment:Regular
Date of Joining:11.12.2000
Qualification:M.Sc., M.E., Ph.D
Phone:9176104121
Email ID:gnanasekaran@crescent.education

Teaching

Educational Background

DegreeDisciplineYear of PassingUniversity
Ph.DMobile Ad Hoc Networks2018B.S.AbdurRahman Crescent Institute of Science & Technology
M.EComputer Science and Engineering2009Sathyabama Institute of Science and Technology
M.ScComputer Science1993Bharathidasan University

Work Experience

DesignationInstitutionDurationNo. of Years
Assistant Professor (Selection. Grade)B.S. Abdur Rahman Crescent Institute of Science & TechnologyFrom August 2022 – Till date3
Assistant Professor (Senior. Grade)B.S. Abdur Rahman Crescent Institute of Science & TechnologyFrom August 2017 – August 20225
Assistant ProfessorB.S. Abdur Rahman Crescent Institute of Science & TechnologyFrom September 2012 – August 20175
System EngineerB.S. Abdur Rahman Crescent Institute of Science & TechnologyFrom December 2000 – August 201212

Lecture Courses Handled

  • Introduction to Artificial Intelligence
  • Artificial Intelligence
  • Cyber Security
  • Data Science using Python
  • Data Science with Python
  • Python Programming
  • Computer Programming and Applications
  • R Programming
  • DBMS
  • Soft Computing
  • Computer Architecture
  • Operating System
  • C++ programming
  • Programming for Problem Solving using C
  • Wireless Networks
  • AI for Data Science
  • Computer Architecture and Organization
  • Principles of Communication

Research

Area of Research Interest

  • Machine Learning
  • Artificial Intelligence
  • Mobile Ad Hoc Networks

Publications

International / National Journals

  • Lavanya M, Gnanasekaran P. “Multimodal Deep Learning Ensemble Framework for Accurate Stock Market Prediction Using Multisource Data ”. International Journal of Computational and Experimental Science and Engineering (IJCESEN), Vol. 11, No 2, pp. 3649 – 3659, 2025.
  • Lavanya M, Gnanasekaran P. “Optimizing Data Quality for Enhanced Predictive Modeling in Financial Analysis using Modified Multi-Layer Genetic algorithm (MML-GA)”. Nanotechnology Perception, Vol. 20, pp. 316 – 328, 2024.
  • Lavanya M, Gnanasekaran P. “Advanced Deep Learning ensemble framework for stock price prediction using variational mode decompositions, bidirectional long short term memory, and attention mechanism”, International Journal of Electronics and Finance (Inder Science), accepted, 2024.
  • Anitha P, Gnanasekaran P. “Advanced Sentiment Classification Using RoBERTa and Aspect-Based Analysis on Large-Scale E-Commerce Datasets”. Nanotechnology Perception, Vol. 20, pp. 336 – 348, 2024.
  • Sathya P, Gnanasekaran P. “Ensemble Feature Selection Framework for Paddy Yield Prediction in Cauvery Basin using Machine Learning Classifiers”. Cogent Engineering (Taylor & Francis publication), ), Vol. 10, Issue. 2, pp. 1 – 18, 29 Aug 2023.(SCOPUS/SCIE)
  • Sathya P, Gnanasekaran P. “Paddy Yield Prediction in Tamilnadu Delta Region Using MLR-LSTM Model”. Applied Artificial Intelligence (Taylor & Francis publication), Vol. 37, Issue. 1, pp. 565 – 583, 2023. (SCOPUS/SCIE)
  • P. Gnanasekaran, T.R.Rangaswamy. “Transition rate, trend and signal strength based stable routing protocol for mobile ad hoc networks”. Int. J. Wireless and Mobile Computing., Vol. 15, NO. 1, pp. 52 – 57, 2018.(Inderscience publication)
  • P. Gnanasekaran, T.R.Rangaswamy. “Relative connectivity and Link Stability based Routing Protocol for Mobile Ad-hoc Networks”. ARPN- Journal of Computer Science and Engineering, Vol. 11, NO. 11, pp. 6794 – 6800, 2016.
  • P. Gnanasekaran and Dr. T.R. Rangaswamy, ” Relative Link and Path Stability based Routing Protocol for Mobile Ad-hoc Networks” International Journal of Applied Engineering Research, Volume 10, Number 16, pp 36602-36609,2014.
  • P. Gnanasekaran and A.U AabithaNasreen, ” Improving Data Accessibility by Using Selfish Nodes in Mobile Ad-hoc Networks”, International Journal of Advanced Research in Computer Science & Technology (IJARCST), Vol. 2, issue 2, pp 388-392, 2014.
  • P. Gnanasekaran and Dr. T.R. Rangaswamy, ” Boundary level based stable node disjoint multipath QoS routing protocol for mobile ad hoc networks”, Asian Journal of Scientific Research, Volume 6, 6: 726-735, 2013.

International / National Conferences

  • V. Thiyagarajan, Dr. P. Gnanasekaran, Dr. A. Sonya.” Climate-Adaptive Crop Recommendation System using a Hybrid Machine Learning Algorithm.”9th International Conference on Engineering Technology and Science (ICETS 2025), March 2025.
  • Vishwaa,. Y, Mohamed Faizal. S.H, Dr. P. Gnanasekaran.” Ecommerce Review Authenticity and Sentiment Stratification using BERT-LDA Integration.” 2nd International Conference on Data Analytics and Intelligence Computing (ICDAIC 2025), April 2025
  • Anitha P, Gnanasekaran P. “Juncture of Text Preprocessing Techniques &Extracting Sentiment Analyzing of Micro-Blog Based on Machine Learning Algorithms.” 3rd International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES 2023),   December 2023.
  • AnithaP, Gnanasekaran P. ” Sentiment Prediction based on Movie Reviews using Machine Learning Techniques.”. Proceedings 4th International Conference on Electronics and Sustainable Communication Systems (ICESC), August 2023.
  • LavanyaM, Gnanasekaran P. ” Prediction of Stock Price Using Machine Learning (Classification) Algorithms.”. Proceedings International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), August 2023.
  • LavanyaM, Gnanasekaran P. ” Stock Exchange Price Prediction using Linear Regression Model (IEEE) ”. 5th International Conference on Inventive Research in Computing Applications (ICIRCA),   August 2023.
  • Sathya P, GnanasekaranP. ” Improving clustering efficiency in machine learning for agricultural data to enhance yield productivity”. Proceedings 2nd International Conference on Computational Sciences-Modeling, Computing and Soft Computing, Issue 1, pp 2875, 29 June 2023.
  • Sathya P, GnanasekaranP. ” Rainfall Forecasting System Using Machine Learning Technique and IoT Technology for a Localized Region”. Proceedings of 2nd International Conference on Sentiment Analysis and Deep Learning, pp 425-437, 2023.
  • P. Gnanasekaran and S.Nivetha, ” Recovering From A Node Failure In Mobile Ad-Hoc Networks With Minimal Topology Changes” Proceedings of 2nd International Conference on Science,Engineering and Management,  pp 16-22, 2014
  • P. Gnanasekaran and Vibeeth. B, ” Link Breakage Time Based QoS Improvement in Mobile Ad hoc Network” International Conference on Circuit, Power and Computing Technologies [ICCPCT], 2015.

Books

  • N.Rajendran, Dr. P. Gnanasekaran, Dr. A Sonya.” Python Programming”, Charulatha Publication , India, 2025 (ISBN: 978-93-6260-418-7.
  • G.Kavitha, Dr.P.Latchoumy, Dr.Ankamma Rao, Dr. P. Gnanasekaran.” Fundamentals of Data Structure”, Scientific International Publishing House, India, 2024 (ISBN: 978-93-6674-080-5.

Extension

Book Chapters

  • Sathya P, GnanasekaranP. ” Rainfall Forecasting System Using Machine Learning Technique and IoT Technology for a Localized Region”. Proceedings of 2nd International Conference on Sentiment Analysis and Deep Learning (Springer book series – Scopus Indexed) , pp 425-437, 2023 .

Extension

FDP, Seminar, Workshops Organized

  • Organized one day Workshop “Understanding OOP through real world application on 8th May 2025 at Department of Information Technology ,B.S. Abdur Rahman Crescent Institute of Science & Technology.
  • Organized 3days Workshop “Design for Future” on 6thNovember 2023– 8th November 2023 at Department of Information Technology B.S. Abdur Rahman Crescent Institute of Science & Technology, [SPDC] Chennai.
  • Organized 10 days training “Quantitative Aptitude and Logical Reasoning” Training on 6th February 2023– 16th February 2023 at Department of Information TechnologyB.S.Abdur Rahman Crescent Institute of Science & Technology, [SPDC] Chennai.
  • Organized 10 days training “Python Programming” Training on 17thNovember 2022– 28th November 2022 at Department of Information TechnologyB.S.Abdur Rahman Crescent Institute of Science & Technology, [SPDC] Chennai.
  • Organized “Top 10 Employability skills” Workshop on 8th November 2022 at Department of Information TechnologyB.S.Abdur Rahman Crescent Institute of Science & Technology, [SPDC] Chennai.
  • Organized “Application of AI and ML in the Industry” Guest lectures on 18th October 2022 at Department of Information TechnologyB.S.Abdur Rahman Crescent Institute of Science & Technology, Chennai.
  • Organized “Digital Marketing” Workshop on 10th June 2022 at Department of Information TechnologyB.S.Abdur Rahman Crescent Institute of Science & Technology, Chennai.
  • Organized “Importance of Ethical Hacking” webinar on 31stAugust2021 at Department of Information TechnologyB.S.Abdur Rahman Crescent Institute of Science & Technology, Chennai.
  • Organized “ Be the Change” webinar on 26th Feb 2021 at Department of Information TechnologyB.S.Abdur Rahman Crescent Institute of Science & Technology, Chennai.
  • Organized “ Cyber Security Simplified” webinar on 11thSeptember 2020 at Department of Information TechnologyB.S.Abdur Rahman Crescent Institute of Science & Technology, Chennai.
  • Organized “Opportunities in E-Commerce” webinar on 5thMay2020 at Department of Information TechnologyB.S.Abdur Rahman Crescent Institute of Science & Technology, Chennai.
  • Organized Technical Symposium Inauguration (ICON’19) on 11th March 2019 at Department of Information TechnologyB.S.Abdur Rahman Crescent Institute of Science & Technology, Chennai.
  • Organized “Data Analytics” workshop on 12th April 2018 at Department of Information TechnologyB.S.Abdur Rahman Crescent Institute of Science & Technology, Chennai.
  • Organized Society of Information Technologists 27thSeptember 2018 at Department of Information Technology, B.S.Abdur Rahman Crescent Institute of Science & Technology, Chennai.
  • Organized “Emerging Trend in IT” Seminar on 13thJuly 2018 at Department of Information TechnologyB.S.Abdur Rahman Crescent Institute of Science & Technology, Chennai.

FDP, Seminar, Workshops Attended

  • Attended Workshop on “MongoDB Data Modelling Skill” on 27.05.2025 organized by B.S.Abdur Rahman Crescent Institute of Science and Technology.
  • Attended FDP on “MATLAB EDU PRODAYS : Mastering MATLAB for campus wide innovation” during 19.05. 2025 to 25.05.2025 organized by Dean Academic Research (BSACIST).
  • Attended FDP on “Emerging Tools and Techniques in Machine Learning and Data Science” during 05.02. 2024 to 10.02.2024 organized by Madanapalli Institute of Technology & Science and Computer Society of India (CSI).
  • Attended NPTEL Course on “ Machine learning Application ” during July 2024 to October 2024 organized by SWAYAM NPTEL.
  • Attended Faculty Induction / Orientation Programme (FIP) during 20.09.2022 to 19.10.2022 organized by Ramanujan College University, Delhi.
  • Attended NPTEL Course on “ Foundation of R Software” during July2022 to October 2022 organized by SWAYAM NPTEL.
  • Attended NPTEL Course on “Machine Learning for Soil and Crop” during Jan 2022 to April 2022 organized by SWAYAM NPTEL.
  • Attended FDP on “Emerging Technology Trends in Disaster Management with Applications” during 23.05. 2022 to 28.05.2022 organized by SRM.
  • Attended NPTEL Course on “Fundamentals of Artificial Intelligence” during July 2019 to AOctober 2019 organized by SWAYAM NPTEL.
  • Attended FDP on “Machine Learning and Deep Learning.” during 21.02. 2022 to 26.02.2022 organized by Eswari Engineering College.
  • Attended FDP on “Machine Vision and Digital Twin.” during 21.11. 2021 to 26.11.2021 organized by Sathyabama Institute of Science and Tecnology.
  • Attended FDP on “A blend of Machine Vision, Cyber Security, Block Chain and Application.” during 15.08. 2021 to 18.08.2021 organized by Sathyabama Institute of Science and Tecnology.
  • Attended STTP on “Artificial Intelligence and Its Impact on Industry 4.0.” during 26.04. 2021 to 30.04.2021 organized by B.S. Abdur Rahman Crescent Institute of Science and Technology.
  • Attended STTP on “Artificial Intelligence and Deep Learning Techniques.” during 01.02. 2021 to 06.01.2021 organized by B.S. Abdur Rahman Crescent Institute of Science and Technology.
  • Online Faculty Development Programme on AD HOC AND WIRELESS SENSOR NETWORKS held from 22nd june 2020 to 27th june 2020 organised by Sai Ram Insttitute of Technology.
  • Online Faculty Development Programme on Antenna application and Microwave design held from 15th june 2020 to 20th june 2020 organised by Sai Ram Insttitute of Technology.
  • Online Faculty Development Programme on Agile Software Development – An Industry prespective held from 25th june 2020 to 29th june 2020 organised by B.S.Abdur Rahman Crescent Institute of Science and Technology.
  • Online Faculty Development Programme on Leading Industry 4.0 Revolution held from 1st june 2020 to 6th june 2020 organised by SathyabamaInsttitute of Technology.
  • Faculty Development Programme on Artificial Intelligence held from 4th Dec 2019 to 8th june 2019 organised by IIITDM Kancheepuram.
  • Attended workshop on “Learning Domains and Taxonomies” on 23rdDecember 2022.
  • Attended webinar on “Mathematical Applications in Data Science” on 31stDecember 2021.
  • Attended webinar on “Cyber Security and Ethical Hacking” on 16th June 2021.
  • Attended webinar on “Cyber Security and Ethical Hacking” on 16th June 2021

Patents Published

  • “Animal Treatment Kit using AI methods Thereof” , 2020.
  • “Design system of IoT based smart public Food distribution Management System”, 2022.

Project Proposal Submitted

S. No.TitleAgencyPeriod
1Diabetes Risk prediction and Personalized prevention using Machine learning (PI: Dr. I Sathik ali CO PI: Dr. P. Gnanasekaran.CSD and CSR & IC2023

Professional Membership

  • Computer Society of India (CSI)
  • International Association of Engineers (IAENG) Member

 Awards & Honors

  • Received B.S. Abdur Rahman Research Incentive Award and Cash prize for publication in Scopus Journals during the year 2019.

Administrative Responsibilities

  • Board of Studies (Member)
  • Coordinator – NPTEL
  • Coordinator Practical Time-Table
  • Coordinator – Budget
  • Over all – Lab In-charge
  • Over all – Infrastructure In-charge
  • Committee Member– Project (B.Tech)
  • Committee Member – DAAC (B.Tech)
  • Member: IQAC
  • Co Coordinator : AICTE sponsored SPDC
  • Coordinator: Industrial Visit Programme
  • Class Advisor :B.Tech IT (2015-2019 Batch & 2020-2024 Batch)
  • Faculty Advisor B.Tech IT
  • Annual stock verification Member
  • Anti-ragging Committee Member
  • Proctorial Board (Discipline Committee Member)
  • NBA UG & PG Programme  – Files In charge
  • ISO file In- Charges for Budget, curricular and extracurricular activities.
  • Open house exhibition Department coordinator
  • BSA Crescent Entrance Examination Member