Faculty

T.ChandraKumar

 tckcse@tce.edu

57

PUBLICATIONS       

1

SPONSORED PROJECTS

2

CONSULTANCY PROJECTS

3

M.E./Ph.D. SCHOLARS

35

SEMINAR, CONFERENCE, WORKSHOP ATTENDED

 Educational Qualification

DEGREE BRANCH INSTITUTE YEAR
BSc Mathematics Madurai Kamaraj University 2005
MCA Computer Applications Madurai Kamaraj University 2008
PhD Software Engineering-ERP Anna University-Chennai 2016

 Experience

PERIOD NO OF YEARS DESIGNATION INSTITUTION
07-02-2011 to 30-07-2011 0.6 Asst Prof, Dept of Computer Applications Velammal College of Engineering, Madurai
02-01-2009 to 01-02-2011 2.2 Asst Prof, Dept of Computer Applications V.S.B.Engineering College
01-03-2022 to 01-01-0001 0.1 Associate Professor, Dept of AMCS (Data Science) Thiagarajar College of Engineering
20-03-2020 to 28-02-2022 1.11 Asst Prof, Dept of AMCS (Data Science) Thiagarajar College of Engineering
01-08-2011 to 27-02-2022 11 Asst Prof, Dept of Computer Applications Thiagarajar College of Engineering

 Publications

 Journals
  1. SAKTHIPRIYA , D., & THANGAVEL CHANDRAKUMAR. (2024). Weather based paddy yield prediction using machine learning regression algorithms. Journal of Agrometeorology, 26(3), 344–348. (WOS, Scopus Indexed) (SJR:Q3)
  2. Johnson, B., Chandrakumar, T. (2024). Paddy Crop Disease Prediction—A Detailed Review on Image Processing Techniques. Lecture Notes in Networks and Systems, vol 1010. Springer, Singapore. (Scopus Indexed)
  3. Chandrakumar Thangavel and D Sakthipriya,(2024). Machine Learning Ensemble Classifiers for Feature Selection in Rice Cultivars. Applied Artificial Intelligence (Taylor & Francis), VOL. 38, NO. 1, e2394734 (25 pages). (Science Citation Index) (Impact Factor:3.0)(SJR:Q2)
  4. JOHNSON, B., & CHANDRAKUMAR, T. (2024). Influence of weather parameters on rice blast disease progression in Tamil Nadu, India. Journal of Agrometeorology, 26(3), 362–366. (WOS, Scopus Indexed) (SJR:Q3)
  5. SAKTHIPRIYA, D., & THANGAVEL, C. (2024). Comparison of machine learning classification algorithms based on weather variables and seed characteristics for the selection of paddy seed. Journal of Agrometeorology, 26(2), 209-214.(WOS, Scopus Indexed) (SJR:Q3)
  6. T Padmapriya, S., Chandrakumar, T., & Kalaiselvi, T. (2024). Improving the Prediction Accuracy of MRI Brain Tumor Detection and Segmentation. International Journal of Computing and Digital Systems, 15(1), 1-10. (Scopus Indexed) (SJR:Q3)
  7. Johnson, B., & Chandrakumar, T (2023). A Comprehensive Review of Nutrient Deficiencies in Different Growth Stages of Paddy Crop. International Journal of Computing and Digital Systems (IJCDS), 14, No.1, 10111-10126 (Sep-23) (Scopus Indexed) (SJR:Q3)
  8. Chandrakumar, T., & Sakthipriya, D (2023). A Study on Usage of Agricultural Engineering Equipment for Various Crops and Yields in South Tamilnadu. International Journal of Social Ecology and Sustainable Development (IJSESD), 14(1), 1-15.(Scopus Indexed) (SJR:Q3)
  9. Chandrakumar, T., & Ramya, T. (2022). Hybrid Multi-Criterion Decision-Making Method to Prioritize the Post-COVID-19 Syndrome Follow Up Care. International Journal of Socio technology and Knowledge Development (IJSKD), 14(1), 1-22. (Scopus Indexed) (SJR:Q3)
  10. Sivagurunathan, S., Thangavel, C., & Vaishnavi, V. (2022). An Exploratory Case Study on COVID 19 Omicron using Twitter Analytics. International Journal of Intelligent Systems and Applications in Engineering, 10(4), 153-157. (Scopus Indexed) (SJR:Q4)
  11. Chandrakumar Thangavel, Parthasarathy Sudhaman, S. Sridevi, T. Ramya (2022). Consumer's Perception of Digital Transactions in India: Sentiment Analysis Using R. International Journal of Business Information Systems (IJBIS), Vol. 41, No. 2, 2022,193-206. DOI: 10.1504/IJBIS.2020.10032664. (Scopus Indexed) (ABDC Ranking) (SJR:Q2)
  12. Thangavel, C., Thangavel, R., Chandran, K., Suryanarayana, G., Chowdhury, S., Uyen, N. D., ... & Tran, D. T. (2022). A study on agricultural engineering equipment in South Tamilnadu using linear regression. Bulletin of Electrical Engineering and Informatics, 11(3). (Scopus Indexed) (SJR: Q3)
  13. Sakthipriya, D., & Chandrakumar, T. (2022). A study on agriculture engineering implements using machine learning. Materials Today: Proceedings. (Indexed in Scopus)
  14. Thangavel, C., Thangavel, R., Ramanujam, E., Bennet, D. T., & Bennet, P. S. (2022). Consumer Perception of Internet Banking and Mobile Banking Using Twitter Analytics. International Journal of Sociotechnology and Knowledge Development (IJSKD), 14(1), 1-14. (Scopus Indexed) (SJR: Q3)
  15. Chandrakumar, T, Parthasarathy, S (2021),Is It Time to Rethink Our Software Development Practices?, Journal of Cases on Information Technology (JCIT), 23(4), DOI: 10.4018/JCIT.20211001.oa14, (Indexed in ESCI)
  16. Sridevi, S., Parthasarathy, S., Chandrakumar, T. and Rajaram, S. (2021) ‘A novel framework for forecasting time series data based on fuzzy logic and variants of hidden Markov model’, Int. J. Business Intelligence and Data Mining, Vol. 19, No. 3, pp.304–318. (Indexed in Scopus)
  17. Dhinakaran, S., & Thangavel, C. (2021). Classification of Agriculture Land Equipment Using Data Mining Techniques. Design Engineering, 15978-15987.
  18. Chandrakumar, T, Parthasarathy, S (2020), "Quality assessment of Standard and customized COTS products," International Journal of Information Technology Project Management (IJITPM), IGI Global (Indexed in ESCI)
  19. Chandrakumar, T., & Parthasarathy, S. (2018). A Business Model for Digital Services for Smart Cities in India. Smart CitiesDevelopment and Governance Frameworks. Springer Publisher
  20. Chandrakumar, T., Parthasarathy, S., (2017), An exploratory case study on cloud ERP implementation, International Journal of Information and Communication Technology, Vol. 10, No. 2, 2017. (Indexed in Scopus)
  21. Chandrakumar, T., & Parthasarathy, S. (2016). An approach to estimate the size of the ERP package using package points. Computer Standards & Interfaces. (Elsevier), SCI Indexed Journal. Impact Factor: 2.487
  22. Chandrakumar, T., Parthasarathy, S., (2015), Efficiency analysis of ERP projects—software quality perspective, International Journal of Project Management, Volume 33, Issue 4, May 2015, Pages 961–970, (Elsevier) SCI Journal, Impact Factor: 7.2
  23. Chandrakumar, T., & Parthasarathy, S. (2014). A Framework for Evaluating Cloud Enterprise Resource Planning (ERP) Systems. In Continued Rise of the Cloud (pp. 161-175). Springer London.
  24. Chandrakumar, T., & Parthasarathy, S. (2012). Enhancing Data Security in ERP Projects Using XML. International Journal of Enterprise Information Systems (IJEIS), 8(1), 51-65 (Web of Science- Indexed in ESCI)
  25. T.ChandraKumar, Reviewing the Concert of ERP Software using an Objective Unbiased Scorecard Approach, CIIT International Journal Artificial Intelligent Systems and Machine Learning, Print: ISSN 0974 9667 & Online: ISSN 0974 9543 ,March Issue 2011 on 18/03/2011
 Conferences
  1. Johnson. B, Chandrakumar. T , (2024), "Agricultural Advancement: Leveraging EfficientNetB4 for Enhanced Paddy Disease Classification," 2024 IEEE Students Conference on Engineering and Systems (SCES), Prayagraj, India, 2024, pp. 1-6, doi: 10.1109/SCES61914.2024.10652384. 21-23 June 2024
  2. Johnson, B., Chandrakumar, T. (2024). Paddy Crop Disease Prediction—A Detailed Review on Image Processing Techniques. 2nd International Conferenceon Intelligent Computing Systems and Applications (ICICSA-2023), National Institute of Technology Silchar, September 22-23, 2023.
  3. Chandrakumar T et.al (2023), "Paddy Yield Forecasting Using Regression Techniques", 2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON), Chitkara University, Feb 24-26, 2023
  4. Sakthipriya Dhinakaran, Chandrakumar Thangavel, Johnson B and Prem Kumar J B, "A Survey - Soil Feature Analysis Using Clustering Techniques and Predict Various Crops In Madurai District", IEEE 1st International Conference on Advanced Innovations in Smart Cities (ICAISC 2023), Jeddah Saudi Arabia, Jan 23- 25, 2023
  5. Sakthipriya, Chandrakumar T et.al,, "A Survey-PCOS Perception analysis prediction using machine learning", 7th IEEE International Conference on recent advances and innovations in engineering (7th IEEE ICRAIE 2022), NIT-K Surathkal, 1-3 December 2022
  6. Sakthipriya, Chandrakumar T, "A SURVEY OF MACHINE LEARNING CLUSTERING METHODS FOR THE AGRI-EQUIPMENT NEEDS AND CROP RANGE PREDICTION", INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN MATHEMATICS AND COMPUTATIONAL ENGINEERING (ICRAMCE - 2022), , SSN- Chennai, 06 – 07, January 2022.
  7. Sakthipriya, Chandrakumar T, "A Study on Agricultural Engineering Machineries using Machine Learning", INTERNATIONAL CONFERENCE ON INNOVATIVE TECHNOLOGY FOR SUSTAINABLE DEVELOPMENT SMART AND SECURE COMPUTING (ICITSD - 2022), VIT Chennai, 27-28 Jan 2022.
  8. Sakthipriya, Chandrakumar T, "CLASSIFICATION OF AGRICULTURE LAND EQUIPMENT USING DATA MINING TECHNIQUES" International Conference on Global Issues In Multidisciplinary Academic Research Organized By Indian Academicians And Researchers Association In Association WithRajabhat Maha Sarakham University, Thailand on 31st October 2021
  9. E. Ramanujam, T. Chandrakumar, K. T. Thivyadharsine and D. Varsha, "A Multilingual Decision Support System for early detection of Diabetes using Machine Learning approach: Case study for Rural Indian people," 2020 Fifth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 2020, pp. 17-21, doi: 10.1109/ICRCICN50933.2020.9296187 (Indexed in Scopus)
  10. Chandrakumar, T, Ramanujam, Nandhana, K, Laxmi, N.T. (2019)“Prediction of Fetal Distress using Linear and Non-Linear Features of CTG Signals”, Springer - Advances in Intelligent Systems and Computing series. (Indexed in Scopus)
  11. Sridevi S, Mahalakshmi G, Saranya T, Parthasarathy S and Chandrakumar T, Forecasting Of Time Series Data Using Fuzzy Based Multi-granular Model, 19th Global Conference on Flexible System Management, IIT Roorkee,6-8 Dec 2019
  12. Dr.T.Chandrakumar, "Web Service Security", International Conference on Advances in Computer science, Engineering and Technology (ICACSET), Kalasalingam University, 19-20 January 2018
  13. Dr.T.Chandrakumar,"Security issues in IoT" International Conference on innovation trends in technology and management, Kalasalingam University, 30-31 March 2017
  14. Dr.T.Chandrakumar, National Conference on Big Data Analytics and Mobile technologies", Reviewer, TCE, 24-25 March 2017
  15. T.Chandrakumar, "SOFTWARE QUALITY METRICS FOR CRM: A QUANTITATIVE APPROACH", International Conference on Computing and Information Technology (ISBN:978-81-927063-7-5), Sep 23, 2013.
  16. T.Chandrakumar, "Security Metrics for a Business Information System", International Conference on Computing and Information Technology (ISBN:978-81-927063-7-5), Sep 23, 2013.
  17. T.Chandrakumar, “Enterprise Resource Planning: Industry requirements and Technology”, International Conference on EGovernance & Cloud Computing Services (ISBN: 978-81-910827-9-1), October 17-18, 2012.
  18. T.ChandraKumar, Impact of ERP system module implementation in a SME-Customer perspective, National Conference on Advanced IT,Engineering and Management, National conference
  19. T.ChandraKumar, Reviewing the Concert of ERP Software using an Objective Unbiased Scorecard Approach, ICICT 2010 , 2010
  20. T.ChandraKumar, Performance Measurement through the ERP Scorecard, NCINM 11 , 2011
  21. T.ChandraKumar Measuring and Managing Software qualities of an ERP projects,National Conference on Advanced IT,Engineering and Management,National conference,Sep 2012
  22. T.ChandraKumar Applying Data Mining Technique to Evaluate Chat Messages To Comprehend Inquest E-Learning System,NCRTSC,2010
 Books
  1. Sakthipriya, D., Chandrakumar, T., Hirthick, S., Sundar, M.S., Kumar, M.S.(2023). Brain tumor analyses adopting a deep learning classifier based on glioma, meningioma, and pituitary parameters. In Deep Learning in Medical Image Processing and Analysis (IET), pp. 259–271.
  2. Sakthipriya, D., Chandrakumar, T., Johnson, B., Kumar, J. P., & Karthick, K. A.(2023). Analysis of preperimetric glaucoma using a deep learning classifier and CNN layer-automated perimetry. Deep Learning in Medical Image Processing and Analysis, (IET), pp. 225–23
  3. Saranya, R., Neeraja, U., Meena, R. S., & Chandrakumar, T.(2023). Qualitative perception of a deep learning model in connection with malaria disease classification. Deep Learning in Medical Image Processing and Analysis, (IET) 2023, pp. 213–223
  4. T. Chandrakumar et.al (2023) "Investigation on Improving the Performance of Class-imbalanced Medical Health Datasets", Rivera Publications. (Indexed in Web of Science)
  5. Chandrakumar, Bennet, D. T., & Bennet, P. S. (2023), "T.Fundamentals, limitations, and the prospects of deep learning for biomedical image analysis", Deep Learning in Medical Image Processing and Analysis, (IET), Book DOI: 10.1049/PBHE059E
  6. Sridevi, S., Parthasarathy, S., Chandrakumar, T., & Mahalakshmi, G. (2022). A Multigranular-Based PSO Model for Forecasting Time Series Data. In Flexibility, Innovation, and Sustainable Business (pp. 309-323). Springer, Singapore.
  7. Chandrakumar, T., & Ramya, T. (2022). Auto steering control in a self-driving car using deep learning model, Deep learning, De Gruyter Publisher(Indexed in Web of Science)
  8. Chandrakumar, T., & Parthasarathy, S. (2018), A Business Model for Digital Services for Smart Cities in India.Smart Cities, Springer- Cham.(Indexed in Web of Science)
  9. Chandrakumar, T., & Parthasarathy, S. (2017). Security Challenges in the IoT Paradigm for Enterprise Information systems. In Connected Environments for the Internet of Things - Challenges and Solutions. Springer Cham Publisher (Web of Science)
  10. Chandrakumar, T., & Parthasarathy, S. (2014). A Framework for Evaluating Cloud Enterprise Resource Planning (ERP) Systems. In Continued Rise of the Cloud (pp. 161-175). Springer London.

 Projects

TITLE SPONSORING AGENCY AMOUNT RESPONSIBILITY
Security Metrics for Business Information System University Grants Commission 0.75 Lakhs Principle Investigator

 Consultancy

NAME OF INDUSTRY DETAILS PERIOD
Ruby Food Products, Madurai ERP Software Development 23-08-2022 to 31-03-2023
4 TAMILNADU ENGINEERS COMPANY NCC-ARMY WING Cadet Management System 01-08-2021 to 30-11-2021

 Seminar, Conference, Workshop Attended

  1. One Week FDP on "Data Science in Real-Time Applications", Sreenidhi Institue of Technology, Hyderabad., 23-11-2020 to 28-11-2020
  2. MHRD IIC Impact Lecture Series-"Role of IPR in Startup scheme with Case study", Sarada College, Tirunelveli, 03-07-2020 to 03-07-2020
  3. Department of Personnel and Training & DIKSHA, "Covid 10 (IGOT) Training for NCC cadets", 05-06-2020 to 05-06-2020
  4. TCE-IT Webinar, "Artificial Intelligence Vs Machine Learning Vs Deep Learning-Discussion with case studies", 29-05-2020 to 29-05-2020
  5. Star Certification, ""Webinar on Big Data Analytics", 18-05-2020 to 18-05-2020
  6. AIS India Chapter. Author Development Workshop, IIT Madras, 29-11-2019 to 30-11-2019
  7. TEQIP III Sponsored One Week Workshop on AI for Engineering Research, TCE, Madurai, 11-11-2019 to 15-11-2019
  8. TEQIP III Sponsored One Week FDP on Free / Open Source Software for AI and Cyber Security,26-08-2019 to 31-08-2019, 26-08-2019 to 31-08-2019
  9. TEQIP III Workshop on "CDIO Based Curriculum Design", TCE, 21-08-2019 to 21-08-2019
  10. AICTE-QIP Sponsored One Week Short Term Course On "Research issues and challenges in Data Science and Big data Analytics", 18-03-2019 to 24-03-2019
  11. AICTE-QIP Sponsored One Week Short Term Course On "Pedagogical Innovations and Research Directions in STEM Education",25-02-2019 to 02-03-2019, 25-02-2019 to 02-03-2019
  12. AICTE-QIP Sponsored One Week Short Term Course On Content Delivery and Assesment Methods for CS/IT Curriculam, 11-02-2019 to 17-02-2019
  13. AICTE-QIP Sponsored One Week Short Term Course On Data Science for Internet of Things, 04-02-2019 to 09-02-2019
  14. AICTE-QIP Sponsored One Week Short Term Course On Deep Learning for Visual Computing, 28-01-2019 to 03-02-2019
  15. TEQIP III Sponsored Two Day Training Programme ICT Tools for Effective Teaching, 21-01-2019 to 22-01-2019
  16. TEQIP Sponsored Two Day Workshop on Big Data Analytics for Cyber Security Solutions, 18-09-2018 to 19-09-2018
  17. TEQIP Sponsored Two Day Workshop on Recent Trends and Research Challenges in Deep Learning, 30-08-2018 to 31-08-2018
  18. TEQIP Three days Hands on Workshop on”Artificial Intelligence Tools”, 23 Jan to 25 Jan 2017., 23-01-2017 to 25-01-2017
  19. TEQIP One Week Short term Hands On ”Cloud Computing Technologies”, 29 Nov to 4 Dec 2016, TCE, 29-11-2016 to 04-12-2016
  20. Aakash for Education, Thiagarajar College of Engineering, IIT-Bombay Sponsored by (MHRD)
  21. T.Chandrakumar, “Enterprise Resource Planning: Industry requirements and Technology”, International Conference on EGovernance & Cloud Computing Services (ISBN: 978-81-910827-9-1), October 17-18, 2012., 17-10-2012 to 18-10-2012
  22. National Conference on Advanced IT,Engineering and Management, Mangalore, Sep 2012
  23. Introduction to Research Methodologies, TCE, IIT Bombay (from 25th june to 04th july,2012)
  24. ICICT 2010., Thiagarajar School of Management, Madurai., December 16 & 17, 2010.
  25. NCINM 11 ., Thiagarajar College of Enginee.ring, Madurai ., March 18, 2011.
  26. Velammal Science Utsav ., Velammal College of Engineering., 28th July-1st August, 2010.
  27. Enterprise Information Systems ., Thiagarajar College of Engineering, Madurai., Jan 11, 2011.
  28. NCRTSC 10 ., Thiagarajar School of Management, Madurai ., Feb 27, 2010.
  29. NCSIP 2012, Gandhigram Rural Institute,Gandhigram, 10 February 2012
  30. Workshop-Research Methodologies, Computer Applications,TCE,MAdurai-15., Dec 2011
  31. NCSIP 2012, Gandhigram Rural University, Feb 10,11-2012
  32. TCE and IBM University Relations"Service Oriented Architecture", TCE,Madurai., 9-9-2011
  33. Rigorous Software Engineering, Thiagarajar College of Engineering,Madurai., 11,12-08-2011
  34. SOP for TCE, Thiagarajar College of Engineering, Madurai, 22 Nov 2016, 01-01-0001 to 01-01-0001
  35. DST, Two Day workshop on “Computational intelligence for Big Data analytics” Dec 2016, TCE, 01-01-0001 to 01-01-0001

 Seminar, Conference, Workshop Organised

  1. IBM Sponsored an online programme on “Introduction to AI-Data Science", 04-10-2023 to 04-10-2023
  2. DRDO Sponsored Two day workshop on "Big Data Analytics and Cyber security solutions",Thiagarajar College of Engineering, March 27-28, 2023, 27-03-2023 to 28-03-2023
  3. TAMIL NADU STATE GOVERNMENT SPONSORED FIVE DAY ONLINE FACULTY DEVELOPMENT PROGRAMME ON “Integrated Artificial Intelligence(AI) in Data Science and its Applications in Cloud”, MARCH 6 - 10 ,2023, 06-03-2023 to 10-03-2023
  4. IBM Sponsored One Week Online Seminar (Webinar Series) on “IBM Cloud”, 19-09-2022 to 26-10-2022
  5. IBM Sponsored an online programme on “Cyber security” , 09-06-2022 to 09-06-2022
  6. IBM Sponsored online programme on “Cyber security” , 29-10-2021 to 29-10-2021
  7. Career for Cadets with Spoken Hindi, 08-10-2021 to 08-10-2021
  8. International Yoga day, 21-06-2021 to 21-06-0001
  9. Webinar on "Business Analytics", 27-01-2021 to 27-01-2021
  10. TEQIP Sponsored Two Day Workshop on Big Data Analytics for Cyber Security Solutions, 18-09-2018 to 19-09-2018
  11. DST-SERB Sponsored Two Day Workshop on Computational Intelligence for Big Data Analytics, 17-18 Nov,2016, 17-11-2016 to 18-11-2016
  12. DRDO Sponsored oneday workshop on Soft Computing, Thiagarajar College of Engineering,April 2013, 10-04-2013 to 10-04-0001
  13. National Conference on Information and Network Management,Thiagarajar College of Engineering,Coordinating Committee, 04-04-2013 to 04-04-2013

 M.E./Ph.D. Scholars

NAME OF SCHOLAR COURSE AREA OF RESEARCH STATUS
Ms. Sakthipriya D Ph.D Full Time PhD Scholar Ongoing
Ms.Jalila Ph.D PhD Scholar Full Time Completed
Mr.Johnson B Ph.D Full Time PhD Scholar Ongoing

 Lectures Delivered

TOPIC DELIVERED AT PERIOD
AI Algorithms The Madura College, Madurai 29-02-2024 to 29-02-2024
ARTIFICIAL INTELLIGENCE USING PYTHON Mangayarkarasi College of Engineering, Madurai 25-09-2023 to 25-09-2023
Data Science and its Applications Thiagarajar College of Arts and Science, Madurai-9 28-07-2023 to 28-07-2023
Data Science Applications Demonstration Madurai Sivakasi Nadar's Pioneer Meenakshi Women's College, 28-07-2023 to 28-07-2023
Data Science and its Applications- A Roadmap The Madura College, Madurai 16-02-2023 to 16-02-2023
Applications of C Programming SLCS, Madurai. 24-11-2022 to 24-11-2022
Data Science and its Applications Sarada College, Tirunelveli 11-05-2022 to 11-05-2022
Data Science- Python Demo on Machine Learning Latha Mathavan Engineering College, Madurai 27-11-2021 to 27-11-2021
Data Science in Real-Time Applications Sreenidhi Institue of Technology, Hyderabad 23-11-2020 to 23-11-2020
Innovation and Technology MHRD IIC-Impact Lecture Series-Sarada College , Tirunelveli 03-07-2020 to 03-07-2020
Health Education and precautionary measures related to COVID-19 4TN ENGINEERS COMPANY NCC UNIT 16-04-2020 to 17-04-2020
Analysis of Algorithms Thiagarajar College of Arts and Science, Madurai 20-03-2019 to 20-03-2019
Algorithms TVS Matriculation Higher Sec School, Madurai 21-08-2018 to 21-08-2018
Career opportunities for CSE/IT Fatima college, madurai 27-07-2018 to 27-07-2018
Software Engineering Kalasalingam University 10-04-2018 to 10-05-2018
Time Management Gandhigram Rural Deemed University 09-06-2016 to 10-06-2016
Enterprise Resource Planning Systems Thiagarajar College of Arts and Science March 2013
Pre-Placement EEE Dept, Thiagarajar College of Engg,Madurai 05-09-2012 to 05-09-2012

  Awards and Honours

  1. 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON), Chitkara University, Best Paper Award-2023
  2. Best Paper Award- DELCON 2023, Chitkara University, IEEE Delhi Section Flagship Conference
  3. Recognition of the review, Elsevier – International
  4. Cash award for Teaching and Research from the Chairman- TCE, TCE Management Award
  5. Company Writer, Ministry of Defence
  6. Certified Dot Net Programmer, Microsoft

 Membership

NAME OF SOCIETY DETAILS PERIOD
IET 1100888993
Indian Society of Technical Education LM 30161
IAENG 103906 Feb 13 2010
The International Congress for global Science and Technology Member Feb 2010
Indian National Science Academy Member Feb,2020

  Other Achievements

  1. Best Paper Award-2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON), Chitkara University
  2. Reviewer-Advances in Multimedia
  3. IBM Cognitive -Data Analysis with Python
  4. IBM Cognitive-Machine Learning with Python
  5. IBM Cognitive-Python for Data Science
  6. IBM Cognitive-Data Science Methodology
  7. IBM Cognitive-Introduction to Data Science
  8. Edx Course-Machine Learning for Data Science and Analytics - Columbia University
  9. Reviewer- International Journal of Enterprise Information Systems
  10. Reviewer- International Journal of Enterprise Information Systems
  11. Udemy-Python for Statistical Analysis
  12. Training for NCC Cadets-COVID 19
  13. Program Committee Member cum Reviewer-2nd Int Conference on Software Engineering for Service and Cloud Computing, 18-19 September 2019, Vienna, Austria
  14. Reviewer – Computer Standards and Interfaces (Elsevier) (SCI Indexed)
  15. Reviewer – International Journal of Project Management (Elsevier) (SCI Indexed)
  16. Reviewer - International Journal of Industrial Engineering: Theory, Applications and Practice (SCI Indexed)
  17. Attended FDP on Data Mining on july 31,2012 by Honeywell