Journal publications

• K. Dhanasekaran, T. Nadana Ravishankar, S.B. Goyal, Sardar M.N. Islam, Context-specific multi-class data analytics for improving online conversation through deep learning, International Journal of Data Mining, Modeling and Management, Vol. 18, No.2, 2026, ISSN: 1759-1163, SNIP: 0.1, https//doi.org/10.1504/ijdmmm.2026.10069923 [Scopus, WoS]

• Dhanasekaran K., Anand M., Shobanadevi A., Md S. Sayeed, Clinical-named entity extraction for extracting information from medical data, International Journal of Electrical Engineering and Computer Science, Vol. 35, pp. 1722-1731, 2024, ISSN: 2502-4752, SNIP: 0.5, DOI: http://doi.org/10.11591/ijeecs.v35.i3.pp1722-1731 [Scopus]. 

• Akilandeswari J., Jothi G., Dhanasekaran K., Kousalya K., Sathiyamoorthi V., Hybrid Firefly-Ontology-Based Clustering Algorithm for Analyzing Tweets to Extract Causal Factors, International Journal on Semantic Web and Information Systems, Vol.18, 2022, pp.1-27, ISSN: 1552-6283, I.F: 5.6, DOI: http://doi.org/10.4018/IJSWIS.295550 [SCI].

• K. Dhanasekaran, S. Maheswari, R. Velumani, Dr. Raju Shanmugam, 

Dr. K. Thirunavukkarasu, Manikandan Ramasamy, Developing a Robust and Flexible Web Service Framework for Medical Care, Webology, Vol.18, 2021, pp.328-340, ISSN: 1735-188X, I.F: 0.3, DOI: http://doi.org/10.14704/WEB/V18I1/WEB18092 [Scopus].

• Dhanasekaran K., Ramasamy M., Shanmugam R., Prathilothamai M., A dependency-directed opinion analytics for product review classification based on keyphrase, International Journal of Scientific and Technology Research, Vol.9, 2020, pp.79-83, ISSN: 2277-8616, I.F: 0.3, URL: https://www.ijstr.org/final-print/may2020/A-Dependency-directed-Opinion-Analytics-For-Product-Review-Classification-Based-On-Keyphrase.pdf [Scopus].

• Dhanasekaran K., Rajeswari R., Text feature classification approach for effective information extraction via discriminative sequence analysis, International Journal of Applied Engineering Research, Vol.10, 2015, pp.2067-2079, ISSN: 0973-4562, I.F: 1.2, URL: https://www.ripublication.com/ijaer10/ijaerv10n1_171.pdf [Scopus].

• Dhanasekaran Kuttiyapillai, R. Rajeswari, A method for extracting task-oriented information from biological text sources, International Journal of Data Mining and Bioinformatics, Vol.12, 2015, pp.387-399, ISSN: 1748-5673, I.F: 0.1, DOI: https://doi.org/10.1504/IJDMB.2015.070072 [SCI].

• Kuttiyapillai D., Ramachandran R., Design and analysis of feature classification model using information extraction in tomato growing environment, Information (Japan), Vol.17, 2014, pp.3947-3959, ISSN: 1343-4500, I.F: 0.1, URL: 

http://www.information-iii.org/abs_e2.html [Scopus].

• Ganesh Adapala, Eshwar Pallem, Dhanasekaran K (2021) “Disease detection approach for fruit and vegetables using CNN”, Journal of Xidian University (UGC Care), Vol. 15, pp. 130-136.

• Dr Dhanasekaran K, Prakash K Sonwalkar (2018) “Analysis of Sequential Rule Mining for Energy Conservation”, International Journal of Computer Application (IJCA), Vol. 1, January 2018, pp.26-33, ISSN: 2250-1797. (I. F: 3.12)

• Dhanasekaran, K & Rajeswari, R 2015, “Extended Text Feature Classification with Information Extraction”, International Journal of Applied Engineering Research, Vol. 10, ISSN: 0973-4562, pp. 22671-22676.

• K. Dhanasekaran, Dr R. Rajeswari (2014) “Insight into Information Extraction     Method using Natural Language Processing Technique”, International Journal of Computer Science and Mobile Applications, Vol. 1 Issue.5, pp. 97-109, ISSN: 2321-8363. (Impact factor: 1.372)

• Dhanasekaran, K., Rajeswari, R 2014, “Improved text analysis approach for predicting effects of nutrient on human health using machine learning techniques”,  IOSR Journal of Computer Engineering, Vol. 16, e-ISSN: 2278-0661, pp. 86-91. (Impact Factor: 1.213)

• K. Dhanasekaran, Dr R. Rajeswari (2012) “An Approach for Knowledge Extraction Using Ontology Construction and Machine Learning Techniques” International Journal of Computational Linguistics (Malaysia), Vol. 3, ISSN: 2180-1266, August, pp: 21-31.

• K. Dhanasekaran, Dr R. Rajeswari (2012) “A Research-oriented Survey and Current status on Feature Extraction, Ontology Construction towards Natural Language Processing”, International Journal of Computer Science Issues, Vol. 9, ISSN (online):1694-0814, pp. 239-248. (Impact factor: 0.242)

International and National Conferences:

Scopus-Indexed Publications through Conferences

1. Goyal, S.B., Rajawat, A.S., Dhanasekaran, K., Bedi, P., Djeddi, C. (2026). Pattern Recognition in Biomedical Signal and Image Processing: Developing Robust Algorithms for Early Disease Detection and Diagnosis. In: García Márquez, F.P., Hameed, A.A., Jamil, A. (eds) Pattern Recognition and Artificial Intelligence. Lecture Notes in Networks and Systems, vol 1393. Springer, Cham, ISBN: 978-3-031-90893-4, DOI: https://doi.org/10.1007/978-3-031-90893-4_14

2. Aakash Suresh, Lakshmi C, Gopirajan PV, K Dhanasekaran, AstroFusion: A GAN-Augmented Approach for Exoplanet Detection, International Conference on Emerging Techniques in Computational Intelligence (ICETCI), pp. 330-337, 2024, ISBN: 979-8-3503-8706-3, DOI: 10.1109/ICETCI62771.2024.10704142.

3. Bhanu Pratap Singh Rathore, Rutul Dave, Dhanasekaran K, Priyadarsini K, Detection of Brain Tumor from MRI Images using VGG-16 CNN Model with Transfer Learning, 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), ISBN: 979-8-3503-2284-2, 44-52, 2023,                            DOI: http://doi.org/10.1109/ICPCSN58827.2023.00015.

4. B. Surendiran, K. Dhanasekaran, A. Tamizhselvi, A Study on Quantum Machine Learning for Accurate and Efficient Weather Prediction, 6th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2022 -Proceedings, ISBN:978-1-6654-6941-8, pp.534-537, 2022, 

DOI: http://doi.org/10.1109/I-SMAC55078.2022.9987293.

5. Ramprasath M., Dhanasekaran K., Karthick T., Velumani R., Sudhakaran P., An Extensive Study on Pretrained Models for Natural Language Processing Based on Transformers, International Conference on Electronics and Renewable Systems (ICEARS 2022), ISBN: 978-1-6654-8424-4, pp.382-389, 2022, 

DOI:  http://doi.org/10.1109/ICEARS53579.2022.9752241.

6. Dhanasekaran K., Ramprasath M., Sathiyamoorthi V., Poornima N., Irrai Anbu Jayaraj, Meta-Learning Based Adaptive Crop Price Prediction for Agriculture Application, 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA 2021), ISBN:978-1-6654-3524-6, pp. 396-402, 2021, DOI: http://doi.org/10.1109/ICECA52323.2021.9675891.

7. Dhanasekaran K., Surendiran B., Nature-inspired classification for mining social space information: National security intelligence and big data perspective, 2016 Online International Conference on Green Engineering and Technologies, IC-GET, ISBN:978-1-5090-4556-3, 2017, DOI: https://doi.org/10.1109/GET.2016.7916770.

8. Kuttiyapillai Dhanasekaran, Ramachandran Rajeswari, Text mining approach for discovering useful knowledge from information sources of E-waste, Advanced Materials Research, Vol. 984-985, pp.1335-1342, 2014,                                        

DOI: https://doi.org/10.4028/www.scientific.net/AMR.984-985.1335.

Publications in Conference Proceedings

1. K. Dhanasekaran, S. Dominic Raj, S. B. Goyal, CNN-based New Paths Definition and Navigation, Innovations, and Advances in Cognitive Systems (ICIACS 2024), Information Systems Engineering and Management, Springer, Vol. 15, pp. 254-263, 

DOI: https://doi.org/10.1007/978-3-031-69197-3_20.

2. A Study on Efficacy of Deep Learning Approach in Cyber Forensic, Third IEEE Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques, ICEECCOT-2018, GSSS Institute of Engineering & Technology for Women, Mysuru, 14th  & 15th Dec 2018.

3. Watermarking Relational Databases using Security key parameters, Proceedings of National Conference on Current Trends in Computer Applications, March 2009.

4. Data Preprocessing Techniques in Data Mining, Proceedings of National Conference on Information and Computer Applications, August 2008.

Scientific Books Published

• Dr.Jayaram C.V, Dr.Dhanasekaran K, Dr.Sharath Chandra H.S, Dr.O.Homa Kesav, Internet of Things (IoT) and Smart Systems, Leilani Katie Publication and PRESS, Madurai, Edition 1, ISBN: 978-93-6348-067-4, Pages 1-158, June 2026.

Patents:

• Patent Application Number. 202541001702, “An Effective Car Price Prediction Approach Based on Hyperparameter Optimized K-Nearest Neighbours Regression,” filed on 08/01/2025 and published on 17/01/2025 by Dr. Dhanasekaran K, Dr. Srinivasan R, Dr. Sudhakar K, Dr. Rubini P, Prasanna Vijay, Nitte Meenakshi Institute of Technology.

• Patent Application Number. 202041026014A, “A Novel Deep Memory Net Model for Crop Protection Through Multi-Class Data Analytics,” filed on 19/06/2020 and published on 03/07/2020 by Dr. K. Dhanasekaran, Dr. S. Kannimuthu, Dr. Manikandan Ramasamy, H. Muthukrishnan.

Awards:

• Excellent Young Researcher – 2022, GSIR Foundation

• Best Project of the Year award – 2020, KSCST

• Centum in HSC Mathematics, Centum in SSLC Social Science

Achievements:

• Resource person, AICTE ATAL FDP on Bio-signal Processing using AI, Agni Institute of Technology, Chennai, 2023

• Technical session chair, National Symposium (ZORPHIX), Chennai Institute of Technology, 2023

• Resource person, FDP on Advanced Green Computing, Saveetha Engineering College, Chennai, 2022

• Project Examiner, MMCE, Crescent University, 2022

• Expert Talk, FDP on Python Programming for Data Science, Kongu Engineering College, Erode, 2019.

• Mentor, SIH 2018

• Interview panel member, GIT, Belgaum, 2017

• Session chair, international conference, ICSSCCET, Karpagam Institute of Technology, 2016

Participated

1. Five-day workshop on “Information Visualization”, 06-05-2024 to 10-05-2024, SRMIST, Chennai.

2. AICTE UHV-1: FDP on Inculcating Universal Human Values in Technical Education, 9-13 September, 2024.

3. Meity sponsored FDP on “Emerging Trends in IoT”, 19-24 September 2022, SRMIST, Chennai.

4. AICTE ATAL Five-Day FDP on “Data Science”, 20-24 Dec 2021, IIIT Pune.

5. TEQIP 1.3 Sponsored One Week FDP on “Outcome Based Education and NBA Accreditation”, KLS GIT, Belagavi, 7th to 11th January 2020.

6. IEEE Organizer Education Workshop on Challenges and opportunities, IEEE Bangalore section, 19th October 2019.

7. TEQIP Sponsored Faculty Enrichment Program on Design and Analysis of Algorithms, Visvesvaraya Technological University (VTU), Belagavi, one week, 26-01-2018 to 30-01-2018.

8. Workshop on MISSION 10X, Info Institute of Engineering, Coimbatore, 18th to 20th July 2013.

9. Workshop on “Alice-3D Animation and Java Scripting”, Info Institute of Engineering, Coimbatore, 20th and 23rd 2013.

10. National Seminar on Big Data-A new world of opportunities, Hindusthan College of Engineering and Technology, Coimbatore, August 22-23, 2013.

11. Workshop on Scientific Educational Practices, SEED, Info Institute of Engineering, Coimbatore, 12th to 18th November 2012.

12. International Workshop on “A search for research”, Kalaivani College of Technology, Coimbatore, 12th Jan 2012.

13. Train the Trainer Workshop on Enterprise Application Development using ASP.NET MVC, Infosys Limited, Bangalore, 29th -31st Oct 12.

14. Workshop on Issues and Services of Artificial Intelligence and Ubiquitous Computing in Cloud Computing, Info Institute of Engineering, Coimbatore, 17th&18th Feb 2012.

15. Faculty Enablement Program, Infosys Limited, Mangalore, 23-27 April 2012.

16. CSIR Sponsored National Seminar on Heuristic Optimization Techniques for Engineering and Research Applications, Bannari Amman Institute of Technology, Erode, 24th & 25th September 2010.

17. National Conference on Computing and Communication, Dr.Mahalingam College of Engineering and Technology, Coimbatore, 27th March 2010.

18. Three days FDP on Machine Learning, RNS Institute of Technology, Bengaluru, 19-21 July 2018.

19. Training Program on FEEL Employable training course, Mahendra Engineering College, 27th & 29th June 2005.

20. Training Program on Computer Hardware and Maintenance, Softech Computer Education, Salem, July 2004-Aug 2004.

Organized

• Convenor, DRDO-sponsored Five-Day National-level Workshop on “Quantum Machine Learning for Defence and Security Applications”, March 7-11, 2022.

• Convenor, ISRO-sponsored National-level seminar on “Advances in Wireless Nanosensor Networks and Communication”, 30-01-2017.

• Convenor, CSIR-sponsored National conference on “Advances in Computational Biology, Communication and Data analytics”, 13-05-2017.

• Co-ordinator, A Hands-on training on Data Structures and Algorithms, 2021.

• Co-ordinator, A workshop on Python programming, 25-07-2016 to 04-08-2026.

Academic Experience: 15 Years 10 months

• Associate Professor, Department of Computer Science and Engineering,

SRM Institute of Science and Technology, 

(Deemed-to-be-University & Category I University, NAAC: A++ Grade), 

Tiruchirappalli (01/06/2026 to Till Date)

• Assistant Professor, Department of Data Science and Business Systems, 

SRM Institute of Science and Technology, 

(Deemed-to-be-University & Category I University, NAAC: A++ Grade), 

Kattankulathur, Chennai (07/08/2020 to 20/05/2026)

• Associate Professor, Department of Computer Science and Engineering, Jain College of Engineering, Belgaum, Karnataka (11/04/2016 to 30/04/2020)

• Assistant Professor, Department of Computer Science and Engineering, Info Institute of Engineering, Coimbatore (01/12/2011 to 04/04/2016)

• Lecturer, Department of Computer Science and Engineering, Dr.Mahalingam College of Engineering and Technology, Tamilnadu (06/05/2009 to 25/11/2010)

• Indian Society for Technical Education (ISTE), Life member 

[Member ID: LM 66105].

• ACM Member, 2024-2026 [Member ID: 2933088].

• International Association of Engineers-IAENG Member [Member ID. 165498]. 

• Received a fund of Rs.4000 from KSCST for the student project titled “AI-enabled disease diagnosis system for genetically modified crops using AR and CNN,” 2020. [Advisor]

• Received a fund of Rs.4000 from KSCST for the student project titled “Detection of breast cancer through dynamic profiling of multiple biomarkers and reduction of DBT reading time using RNN deep learning,” 2020. [Advisor]

• Workshop grant, DRDO, Amount- Rs. 30,000/- , Five-Day National level Workshop on “Quantum Machine Learning for Defence and Security Applications”, 2022. [Convenor]

• Seminar grant, ISRO, Amount- Rs.30,000/-, National level seminar on “Advances in Wireless Nanosensor Networks and Communication”, 2017. [Convenor]

• Symposia grant, CSIR, Amount-Rs. 35,000/-, National conference on “Advances in Computational Biology, Communication and Data analytics”, 2017. [Convenor]