CERTIFICATIONS

1. Completed Learn Data Science Basics from Udemy, 11 NOV 2024.

2. Completed Complete Machine Learning Course - Learn From Scratch from Udemy, 08 JUL 2024.

3. Completed A Beginner Guide’s to Learn Machine Learning from Udemy, 02 APR 2024.

4. Completed Complete Data Science Course: Beginner to Advance from Udemy, 28 FEB 2024.

5. Completed Data Science with python from simplilearn sklillup, 5 OCT 2023.

6. Completed Introduction to Data Analytics from simplilearn skillup, 17 NOV 2023.

7. Completed Google Analytics Certification from Google, 4 OCT 2023.

8. Completed Complete Machine Learning Bootcamp from Udemy, 4 SEP 2023.

9. Completed Mastering Data Science and Machine Learning Fundamentals from Udemy, 2020.

10. Completed Deep Learning: Visual Exploration from Udemy, 2020.

11. Completed Software-Defined Storage Concepts from VMware, 2019.

12. Completed Cloud and Virtualization Concepts from VMware, 2019.

13. Completed Network Virtualization Concepts from VMware, 2019.

14. Completed Predictive Analytics Modeler- Explorer from IBM, 2019.

15. Completed Operating Systems concept and design principles for beginner’s certification from Udemy, 2019.

16. Completed How to get your research paper published certification from Udemy, 2019.

17. Completed WEKA-Data Mining with open source machine learning tool certification from Udemy, 2019.

18. Completed Machine Learning: Making Computers think! certification from Udemy, 2019.

19. Completed How to Prepare & Publish Scientific Papers certification from Udemy, 2019.

20. Completed Blockchain Essentials- BC0101EN certification from Cognitive Class, provided by developerWorks, 2019.

21. Completed Digital Analytics and Regression- ML0103EN certification from Cognitive Class, 2018.

22. Completed Python 101 for Data Science- PY0101EN certification from Cognitive Class, 2018.

23. Completed Moving Data into Hadoop- BD0131EN certification from Big Data University, 2017.

24. Completed R 101- RP0101EN certification from Big Data University, 2017.

25. Completed Big Data 101- BD0101EN certification from Big Data University, 2016.

26. Completed Virtualization for Beginners certification from VMware, 2016.

27. Completed Hadoop 101- BD0111EN certification from Big Data University, 2016.

28. Completed Data Science Hands-on with open source tools- DS0105EN certification from Big Data University, 2016.

29. Completed Data Science 101- DS0101EN certification from Big Data University, 2016.

30. Completed Java, J2EE Architectures and Oracle Database 10G Certifications from Oracle Corporation, 2013.

NPTEL Certifications

1. The Joy of Computing using Python (Jul-Oct, 2023)- Elite-78%

2.     Programming in Java (Jan-Apr, 2024)- Elite-61%

3.     Research Methodology (Jul-Sep, 2024)- Elite-60%

Badges

1. Earned VMware- Software-Defined Storage Concepts, 2019

2. Earned VMware- Cloud and Virtualization Concepts, 2019

3. Earned VMware- Network Virtualization Concepts, 2019

4. Earned Predictive Analytics Modeler - Explorer Award 2019

5. Earned IBM Blockchain Essentials, 2019.

6. Earned Try R issued by Code School, 2017.

7. Earned Hadoop Administration- Level 1 issued by IBM, 2017.

8. Earned Big Data Foundations- Level 1 issued by IBM, 2016.

9. Earned Virtualization for Beginners issued by VMware, 2016.

10. Earned Data Science Foundation’s- Level 1 issued by IBM, 2016.

11. Earned Hadoop Foundations- Level 1 issued by IBM, 2016.

Reviewer

Conference

1.      3rd International Conference on Machine Learning and Data Engineering (ICMLDE 2024)

2.     2nd International Conference on Machine Learning and Intelligent Systems (MLIS2020)

3.     7thIEEE International Conference on Healthcare Informatics (ICHI 2019), Xi’an, China.

4.     1st International Conference on Machine Learning and Intelligent Systems (MLIS2019)

5.     5th International Conference on Fuzzy Systems and Data Mining (FSDM 2019), Kitakyushu City, Japan.

Journal

1.     Current Gene Therapy (2)- Bentham Science Publishers Scopus & SCIE Indexed

2.     Automatika: Journal for Control, Measurement, Electronics, Computing and Communications (Taylor & Francis)- Scopus & SCIE Indexed

3.     Qeios (3)

4.     Asian Journal of Medical Principles and Clinical Practice (1)

5.     IAES Journal of Artificial Intelligence (IJ-AI) (1)- Scopus Indexed

6.     Bulletin of Electrical Engineering and Informatics (BEEI), Institute of Advanced Engineering and Science (1)- Scopus Indexed

7.     Cogent Engineering, Taylor & Francis (2)- Scopus & WoS Indexed

8.     Geocarto International, Taylor & Francis (1)- Scopus & WoS Indexed

9.     Connection Science, Taylor & Francis (1)- Scopus & WoS Indexed

10.  BMJ Open, British Medical Association (1)- Scopus & WoS Indexed

11.  Cybernetics and Systems, Taylor & Francis (1)- Scopus & WoS Indexed

12.  MedComm - Future Medicine, Wiley (1)- Scopus & WoS Indexed

13.  Heliyon, Elsevier (3)- Scopus & WoS Indexed

14.  iScience, Elsevier (3)- Scopus & WoS Indexed

15.  International Journal of Research and Reports in Gynaecology (1)-WoS Indexed

16.  BMC Medical Informatics and Decision Making, Springer (1)- Scopus & WoS Indexed

Publications

Accepted/Under Review:

Conference

1.     Improving Loan Approval Prediction with K-Fold Cross-Validation and Hyperparameter Optimisation: A Study on Machine Learning Classifiers- Springer Conference

2.     Advancements in Face Detection: A Comparative Analysis of Classifiers and Feature Extraction Methods- IEEE Conference

3.     Enhanced Alzheimer's Disease Prediction through Advanced Imaging: A Study of

Machine Learning and Deep Learning Approaches- IEEE Conference

Journal

1.     Towards Content-Driven Resume Assessment: A Hybrid Model with LDA and Cosine Similarity- Scopus & ESCI Indexed

2.     Enhanced Air Quality Index (AQI) Classification: Leveraging Genetic Algorithm and SMOTE for Accurate Assessments in Indian Cities-Scopus Indexed

3.     Employee Attrition Prediction: A Hybrid Model Approach for Enhanced Learning-Scopus Indexed

4. Academic certificate forgery detection using a deep learning approach- International Journal of Artificial Intelligence (IJ-AI)-Scopus Indexed

5. Amharic event text classification from social media using hybrid deep learning- International Journal of Electrical and Computer Engineering (IJECE)- Scopus Indexed

6.     Design and Development of Shamrock leaf shaped fractal Antenna for WLAN WIMAX applications- International Journal of Computing and Digital Systems- Scopus Indexed

Published:

Conference

1.     N. Komal Kumar, V. D. Ambeth Kumar, Danish Quamar, B. Sumanth Kumar Reddy, R. Yogendra, N. Poojitha, (Oct 2024), “Enhanced Alzheimer’s Disease Prediction through Advanced Imaging: A Study of Machine Learning and Deep Learning Approaches” in 2024 5th International Conference on Smart Electronics and Communication (ICOSEC), DOI: 10.1109/ICOSEC61587.2024.10722116- Scopus Indexed. Click here

2.     N. Komal Kumar, G. Rajkumar, N. Poojitha, K. Reddy Prasad, P. Sainath Reddy, C. Kalyani, (Apr 2024), “Enhancing COVID-19 Prediction: Optimized Random Forest Classifier with Feature Selection” in 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), pp. 1-6, ISBN: 979-8-3503-6052-3, DOI: 10.1109/IATMSI60426.2024.10502955- Scopus Indexed. Click here

3.     N. Komal Kumar, A. Kalyan Kumar, G. Thorani, L. Sahithi, P. Pujitha, (Apr 2024), “Improving Cardiovascular Disease Prediction: Machine Learning and Cross-Fold Validation” in 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), pp. 1-6, ISBN: 979-8-3503-6052-3, DOI: 10.1109/IATMSI60426.2024.10503072- Scopus Indexed. Click here

4.     N. Komal Kumar, D. Vigneswari, Rahul J Reynold, Jojo Josy, Jerin C Prince, (June 2021), “An Ensemble Deep Learning Method for Diabetes Mellitus” In: Hassanien A.E., Bhattacharyya S., Chakrabati S., Bhattacharya A., Dutta S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 1286. Springer, Singapore. DOI: 10.1007/978-981-15-9927-9_8- Scopus Indexed. Click Here

5.     N. Komal Kumar, K. Thirunadana Sikamani, (Mar 2021), “Malarial Epidemic Resurge in India and its Future Implication” in IEEE- 2020 7th International Conference on Advanced Computing & Communication Systems (ICACCS), pp. 193-198, ISBN: 978-1-6654-0521-8, DOI: 10.1109/ICACCS51430.2021.9441918 – Scopus Indexed. Click Here

6.     N. Komal Kumar, Lakshmi Tulasi R., Vigneswari D. (Mar 2021) “Performance Analysis of Classification Methods for Cardio Vascular Disease (CVD)”. In: Hura G., Singh A., Siong Hoe L. (eds) Advances in Communication and Computational Technology. Lecture Notes in Electrical Engineering, vol 668. Springer, Singapore. Cite Score:0.5, SNIP:0.192, https://doi.org/10.1007/978-981-15-5341-7_93- Scopus Indexed- Click Here

7.     N. Komal Kumar, Vigneswari D. (Mar 2021) “A Drug Recommendation System for Multi-disease in Health Care Using Machine Learning”. In: Hura G., Singh A., Siong Hoe L. (eds) Advances in Communication and Computational Technology. Lecture Notes in Electrical Engineering, vol 668. Springer, Singapore. Cite Score:0.5, SNIP:0.192  https://doi.org/10.1007/978-981-15-5341-7_1- Scopus Indexed. Click Here

8.     N. Komal Kumar, Vigneswari D. (Mar 2021) “A Multi-level Access Technique for Privacy-Preserving Perturbation in Association Rule Mining”. In: Chiplunkar N., Fukao T. (eds) Advances in Artificial Intelligence and Data Engineering. Advances in Intelligent Systems and Computing, vol 1133. Springer, Singapore. Cite Score:0.9, SNIP:0.429 https://doi.org/10.1007/978-981-15-3514-7_48- Scopus Indexed. Click Here

9.     N. Komal Kumar, G.Sarika Sindhu, D.Krishna Prashanthi, A.Shaeen Sulthana, (April 2020) “Analysis and Prediction of Cardio Vascular Disease using Machine Learning Classifiers” in IEEE- 2020 6th International Conference on Advanced Computing & Communication Systems (ICACCS), pp. 15-21, ISBN: 978-1-7281-5197-7, DOI: 10.1109/ICACCS48705.2020.9074183– Scopus Indexed. Click Here

10.  N. Komal Kumar, K. Thirunadana Sikamani, K. Cornelius, M. Grace Prasana, A. Helen, (April 2020) “An Efficient Dynamic Power Management of Household Energy Consumables” in IEEE- 2020 6th International Conference on Advanced Computing & Communication Systems (ICACCS), pp. 11-14, ISBN: 978-1-7281-5197-7, DOI: 10.1109/ICACCS48705.2020.9074432– Scopus Indexed. Click Here

11.  K. Cornelius, N. Komal Kumar, Sagar Pradhan, Priyesh Patel, N. Vinay, (April 2020)   “An Efficient Tracking System for Air and Sound Pollution using IoT” in IEEE- 2020 6th International Conference on Advanced Computing & Communication Systems (ICACCS), pp. 22-25, ISBN: 978-1-7281-5197-7, DOI: 10.1109/ICACCS48705.2020.9074301– Scopus Indexed. Click Here

12.  A. Helen, N. Komal Kumar, M. Jijendira Prasath, B. Avinash, A. K. Agin, (April 2020)  “Crime Deterrent with the Framework of Nasal Entity” in IEEE- 2020 6th International Conference on Advanced Computing & Communication Systems (ICACCS), pp. 30-33, ISBN: 978-1-7281-5197-7, DOI: 10.1109/ICACCS48705.2020.9074187 – Scopus Indexed. Click Here

13.  A. Mohan, N. Komal Kumar, (July 2019) “Conditions of Deadlock Detection in Multithreaded Applications Using Inheritable Systems”. In: Satapathy S., Raju K., Shyamala K., Krishna D., Favorskaya M. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 3. ch.16, pp. 122-130, Springer, Cham. ISBN: 978-3-030-24322-7, DOI: 10.1007/978-3-030-24322-7_16 – Scopus Indexed. Click Here

14.  N. Komal Kumar, D. Vigneswari, C. Rogith, (June 2019) “An Effective Moisture Control Based Modern Irrigation System (MIS) with Arduino Nano” in IEEE- 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS), pp. 70-72, ISBN: 978-1-5386-9533-3/19, DOI: 10.1109/ICACCS.2019.8728446 – Scopus Indexed.Click Here

15.  N. Komal Kumar, D. Vigneswari, A. Mohan, K. Laxman, J. Yuvaraj, (June 2019) “Detection and Recognition of Objects in Image Caption Generator System: A Deep Learning Approach” in IEEE- 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS), pp. 107-109, ISBN: 978-1-5386-9533-3/19, DOI: 10.1109/ICACCS.2019.8728516 – Scopus Indexed. Click Here

16.  D. Vigneswari, N. Komal Kumar, V. Ganesh Raj, A. Gugan, S. R. Vikash, (June 2019), “Machine Learning Tree Classifiers in Predicting Diabetes Mellitus” in IEEE-2019 5thInternationalConference on Advanced Computing and Communication Systems (ICACCS), pp. 84-87, ISBN: 978-1-5386-9533-3/19 DOI: 10.1109/ICACCS.2019.8728388- Scopus Indexed. Click Here

17.  N. Komal Kumar, Vigneswari D., Vamsi Krishna M., Phanindra Reddy G.V., (Sep 2018) “An Optimized Random Forest Classifier for Diabetes Mellitus”. In: Abraham A., Dutta P., Mandal J., Bhattacharya A., Dutta S. (eds) Emerging Technologies in Data Mining and Information Security. “Advances in Intelligent Systems and Computing, ISSN: 2194-5357”, Vol 813. Springer, Singapore. - Scopus Indexed, CiteScore- 0.45, SNIP-0.338, DOI: 10.1007/978-981-13-1498-8_67, Click here

18.  Vigneswari, N. Komal Kumar, G.V Bharath Kumar, M. Vamsi Krishna,(Mar 2018), “Performance Comparison of Privacy Preserving Perturbation algorithms in Association Rule Mining” in “Advances in Engineering Research (AER)- Atlantis Press- ISSN: 2352-5401”, Volume 142, pp 1-6.  DOI:10.2991/pecteam-18.2018.1- Scopus Indexed& CPCI(Web of Science) Click here

Journal

1.     Yenework Alayu Melkamu, Raguraman Purushothaman, Madugula Sujatha, Komal Kumar Napa, Mareye Zeleke Mekonen, Tsehay Admassu Assegie, Ayodeji Olalekan Salau, (Feb 2025), “Cluster-based routing protocols through optimal cluster head selection for mobile ad hoc network”, in Bulletin of Electrical Engineering and Informatics, ISSN: 2302-9285, Vol. 14, No. 1, pp. 733-741, Cite Score:3.4, Scopus Indexed. Click here

2.     Mareye Zeleke Mekonen, Tsehay Admassu Assegie, Shamik Palit, Angati Kalyan Kumar, Chandrima Sinha Roy, Chandi Priya Kompala, Komal Kumar Napa, (Feb 2025), “An opinionated sentiment analysis using a rule-based method”, in Bulletin of Electrical Engineering and Informatics, ISSN: 2302-9285, Vol. 14, No. 1, pp. 726-732, Cite Score:3.4, Scopus Indexed. Click here

3.     K Lokeshwaran, Jayanthi Arumugam, Komal Kumar Napa, Senthil Murugan Janakiraman, Balamurugan AG, (Oct 2024), “TS-AODV: Leveraging Trust for Secure Routing in Manets”, in International Research Journal of Multidisciplinary Scope (IRJMS), ISSN: 2582-631X, Vol. 5, No. 4, pp.1170-1179, Cite Score: 0.2-Scopus Indexed. Click here

4.     Tsehay Admassu Assegie, Komal Kumar Napa, Thiyagu Thulasi, Angati Kalyan Kumar, Maran Jeyanthiran Thiruvarasu Vasantha Priya, Vigneswari Dhamodaran, (Sep 2024), “Scalability and performance of decision tree for cardiovascular disease prediction”, in “IAES International Journal of Artificial Intelligence (IJ-AI)”, -ISSN: 2252-8938, Vol. 13, No. 3, pp. 2540-2545, Cite Score: 3.6- Scopus Indexed. Click here

5.     Rajkumar Govindarajan, Thirunadana Sikamani K, Angati Kalyan Kumar and Komal Kumar N, (July 2024), “The Future of Neurodiagnostic: Deep Learning for Earlier Intervention”, in “Journal of Machine and Computing”, -ISSN: 2788–7669, Vol. 4, No. 3, pp. 813-819, Cite Score: 1.8- Scopus Indexed. Click here

6.     Tsehay Admassu ASSEGIE, Sangeetha MURUGAN, Rajkumar GOVINDARAJAN, Komal Kumar NAPA, Nageswari D, (July 2024), “Improving the Performance of Machine Learning with Sequential Feature Selection and Grid Search”, in “Przegląd Elektrotechniczny”, - ISSN: 0033-2097, Vol. 2024, No. 2, pp. 145-148, Cite Score: 0.9-Scopus & ESCI Indexed.  Click here

7.     Santaji Krishna Shinde, Satyanarayana Tirlangi, N. Komal Kumar, DVSSSV Prasad,G. Soorya Priya, Jithesh K, Ravishankar sathyamurthy, Dr. A. Rajaram, (June 2024), “Enhancing Wind Power Generation Forecasting with Advanced Deep Learning Technique using Wavelet-Enhanced Recurrent Neural Network and Gated Linear Units”, in “International Journal of Renewable Energy Research”, ISSN: 1309-0127, Vol. 14, No. 2, pp. 324-338, Cite Score:- 2.3- Scopus &ESCI Indexed. Click Here

8.     Tsehay Admassu Assegie, Bommy Manivannan, Komal Kumar Napa, Bindu Kolappa Pillai Vijayammal, Rajkumar Govindarajan, Sangeetha Murugan, Atinkut Molla Mekonnen, (June 2024), ‘Consistency, local stability, and approximation of Shapash explanation”, in “TELKOMNIKA Telecommunication Computing Electronics and Control”, ISSN: 1693-6930, Vol. 22, No. 3, pp. 673-680, Cite Score: - 4.0-Scopus Indexed. Click Here

9.     Komal Kumar Napa, Angati Kalyan Kumar, Sangeetha Murugan, Kamaluru Mahammad, Tsehay Admassu Assegie, (Mar 2024), “Early prediction of chronic heart disease with recursive feature elimination and supervised learning techniques”, in “IAES International Journal of Artificial Intelligence (IJ-AI)”, -ISSN: 2252-8938, Vol. 13, No. 1, pp. 730~736, Cite Score: 3.6- Scopus Indexed. Click here

10.  Angati Kumar , Tsehay Assegie , Ayodeji Salau , Komal Kumar Napa , Suguna R (Feb 2024), “Feature contribution to an in-depth understanding of the machine learning model interpretation”, in “Przegląd Elektrotechniczny”, - ISSN: 0033-2097, Vol. 2024, No. 2, pp. 145-148, Cite Score: 0.9-Scopus & ESCI Indexed. Click here

11.  Rajkumar Govindarajan, Sangeetha Murugan, Komal Kumar Napa, Nageswari D, Balamurugan A G, Vattikuti Charan Sri Manikanta Sai, (Sep 2023), “Enhancing Multi-Object Detection in Video Content: Exploring Hybrid Techniques and Method Combinations for Improved Classification Accuracy”, in “International Journal on Recent and Innovation Trends in Computing and Communication”- ISSN: 2321-8169, Volume: 11 Issue: 9, pp. 2054-2059, Cite Score: 1.1 – Scopus Indexed. Click here

12.  Tsehay Admassu Assegie, Tamilarasi Suresh, Raguraman Purushotham, Sangeetha Ganesan, Napa Komal Kumar, (July 2023), “Early Prediction of Gestational Diabetes with Parameter-Tuned K- Nearest Neighbor Classifier”, in “Journal of Robotics and Control (JRC)”- ISSN: 2715-5072, Vol. 4, Issue. 4, pp. 452-457, Cite Score-5.1  DOI: 10.18196/jrc.v4i4.18412,- Scopus Indexed. Click here

13.  Tsehay Admassu Assegie, Prasanna Kumar. R, N. Komal Kumar, Vigneswari. D, (Sep 2022), “An Empirical Study on Machine Learning Algorithms for Heart Disease Prediction” in “IAES International Journal of Artificial Intelligence (IJ-AI)- ISSN: 2252-8938”, Vol. 11, No. 3, pp. 1066-1073, DOI: 10.11591/ijai.v11.i3.pp1066-1073, - Scopus Indexed. Click here

14.   Tsehay Admassu Assegie, Rajkumar Subhashni, Napa Komal Kumar, Jijendira Prasath Manivannan, Pradeep Duraisamy, Minychil Fentahun Engidaye  , (June 2022), “Random forest and support vector machine-based hybrid liver disease detection” in “Bulletin of Electrical Engineering and Informatics- ISSN: 2302-9285”, Vol. 11, No.3, pp. 1650~1656, DOI: 10.11591/eei.v11i3.3787,- Scopus Indexed Click here

15.  Tamilarasi Suresh, Tsehay Admassu Assegie, Subhashni Rajkumar, Napa Komal Kumar, (Apr 2022), “A hybrid approach to medical decision-making: diagnosis of heart disease with machine-learning model” in “International Journal of Electrical and Computer Engineering (IJECE)- ISSN: 2088-8708”, Vol.12, No.2, pp. 1831-1838, CiteScore- 3.0, SNIP- 0.833, DOI: 10.11591/ijece.v12i2.pp1831-1838, - Scopus Indexed. Click here

16.  N. Komal Kumar, Dr. K. Thirunadana Sikamani, (Feb 2022), “An Efficient Approach for Malarial Epidemic Prognosis Using Machine Learning Classifiers” in Indian Journal of Computer Science and Engineering (IJCSE), ISSN: 0976-5166, 13(1): 157-169, Cite Score: 0.2, DOI: 10.21817/indjcse/2022/v13i1/221301107, Scopus Indexed. Click Here

17.  Tsehay Admassu Assegie, Ravulapalli Lakshmi Tulasi, Vadivel Elanangai, Napa Komal Kumar, (Jan 2022), “Exploring the performance of feature selection method using breast cancer dataset”, in “Indonesian Journal of Electrical Engineering and Computer Science” ISSN: 2502-4752, 25(1):232-237, Cite Score: 2.3, SNIP: 0.635, SJR: 0.241,  DOI: 10.11591/ijeecs.v25.i1.pp232-237- Scopus Indexed. Click here

18.  Tsehay Admassu Assegie, R. Lakshmi Tulasi, N. Komal Kumar, (Mar 2021), “Breast Cancer Prediction Model with Decision Tree and Adaptive Boosting” in “IAES International Journal of Artificial Intelligence”, ISSN: 2252-8938, 10(1):184-190, Cite Score: 1.7, SNIP: 1.276, DOI: 10.11591/ijai.v10.i1.pp184-190, Scopus Indexed Click Here

19.  N. Komal Kumar, Dr. K. Thirunadana Sikamani, (Aug 2020), “Prediction of Chronic and Infectious Diseases using Machine Learning Classifiers- A systematic Approach” in International Journal of Intelligent Engineering and Systems, ISSN: 2185-310X, 14(4): 11-20, Cite Score: 1.7, SNIP: 0.448, DOI: 10.22266/ijies2020.0831.02, Scopus Indexed Click Here

20.  N. Komal Kumar, R. Lakshmi Tulasi, D. Vigneswari, (April 2020), “Investigating Dengue Outbreak in Tamil Nadu, India” in “Indonesian Journal of Electrical Engineering and Computer Science, ISSN: 2502-4752, 18(1):502-507, Cite Score: 1.7, SNIP: 0.649, SJR: 0.238,  DOI: 10.11591/ijeecs.v18.i1.pp502-507- Scopus Indexed. Click here

21.  N. Komal Kumar, Dr. R. Bhavani, Dr. A. Mohan, D. Vigneswari, (September 2019) “ISSK- An Integrated Self Service Kiosk for Health Monitoring and Management” in “International Journal of Scientific & Technology Research”, ISSN: 2277-8616, 8(9): 2388-2392, Cite Score: 0.36- Scopus Indexed. Click here

22.  A. Mohan, N. Komal Kumar, M. Sakthivel, K. Cornelius, BalajiVijayan, (September 2019), “Web Based Electronic Wireless Lab Environment (EWL) for Engineering Students using Wi-Fi Architecture” in International Journal of Recent Technology and Engineering (IJRTE), ISSN: 2277-3878, 8(3):6982-6991, Cite Score: 0.09, DOI: 10.35940/ijrte.C6031.098319- Scopus Indexed. Click here

23.  N. Komal Kumar, D. Vigneswari, (August 2019) “Hepatitis- Infectious Disease Prediction using Classification Algorithms” in Research Journal of Pharmacy and Technology, ISSN: 0974-360X, 12(8): 3720-3725, Cite Score: 0.38, SNIP: 0.38, DOI: 10.5958/0974-360X.2019.00636.X- Scopus indexed. Click here

24.  N.Komal Kumar, R. Lakshmi Tulasi, Vigneswari. D, (April 2019), “An ensemble multi-model technique for predicting chronic kidney disease” in “International Journal of Electrical and Computer Engineering (IJECE)- ISSN: 2088-8708”, Vol.9, No.2, pp. 1321-1326, CiteScore- 1.53, SNIP- 1.001, DOI: 10.11591/ijece.v9i2.pp1321-1326, - Scopus Indexed. Click here

25.  Vigneswari D, N.Komal Kumar, Dr. Lakshmi Tulasi (Sep 2018), “A Privacy-Preserving technique for incremental data set on cloud by synthetic data perturbation” in “International Journal of Engineering & Technology” IJET(UAE)- ISSN: 2227-524X, Volume 7, Issue 3.34, pp 331-334. –Scopus Indexed, CiteScore- 0.48, SNIP-0.086, DOI: 10.14419/ijet.v7i3.34.19219, Click here

26.  N. Komal Kumar, D. Vigneswari, M. Kavya, K. Ramya, T. Lakshmi Druthi, (Jul 2018) “Predicting Non-Small Cell Lung Cancer: A Machine Learning Paradigm” in “Journal of Computational and Theoretical Nanoscience- ISSN:1546-1955”, Volume 15, Issue 6/7, pp. 2055-2058. – Scopus Indexed, CiteScore- 0.23, SNIP-0.247, DOI: 10.1166/jctn.2018.7406, Click here

27.  P.Raguraman, N. Komal Kumar, Vigneswari.D, Manu Kumar, (Apr-2018), “A region of interest based spatial domain by non-uniform grid transformation” in “International Journal of Innovative Research Explorer (IJIRE)- ISSN NO: 2347-6060”, Volume 5, Issue 4, pp. 274-278.  DOI:16.10089.IJIRE.2018.V5I4.17.21261- UGC Approved, Impact factor- 5.2.Click here

28.  Manu Kumar.M, N. Komal Kumar, Vigneswari.D, JothiLakshmi.S, (Apr 2018), “Object interest detection using interpolated swirling and attraction flow” in “International Journal of Research in Applied Science and Engineering Technology (iJRASET)- ISSN:2321-9653”,Volume 6, Issue IV, pp. 2393-2396. DOI:10.22214/ijraset.2018.4407- UGC Approved, SJIF- 7.076.Click here

29.  N. Komal Kumar, Vigneswari.D, B A S Roopa Devi, (Jan 2018), “MSO – MLP diagnostic approach for detecting DENV serotypes” in “International Journal of Pure and Applied Mathematics (IJPAM)- ISSN: 1311-8080”, Volume 118, No. 5, pp 1-6.- Scopus Indexed, CiteScore- 0.23, SNIP-0.394.Click here

30.  Dr.T.Ravi, R.Prasanna Kumar, N. Komal Kumar, G.Ragu, (Jun 2015), “SyntheticData Perturbation Technique for Privacy Preservation in Association Rule Mining” in “Journal of Applied Sciences Research (JASR) - ISSN: 1819-544X”, Volume 11, pp 55-59.-Anna University Annexure-II. Impact Factor- 0.22. Click here

31.  Dr.T.Ravi, R.Prasanna Kumar, N. Komal Kumar,(Jan 2014), “A Non-Synthetic Data Perturbation Technique for Privacy Preservation in Association Rule Mining” in “International Journal of Applied Engineering Research (IJAER)- ISSN: 0973-4562”, Volume 9, Number 24, pp. 24311-24320.- Scopus Indexed, CiteScore- 0.10, SNIP- 0.484.Click here

MENTORING

1. Mentored two students on project titled “Performance Comparison of Privacy Preserving Perturbation algorithms in Association Rule Mining”. Presented & Published paper in Springer Nature Atlantis-press (Feb 2018)-Click here

2. Mentored three students on project titled “Predicting Non-Small Cell Lung Cancer: A Machine Learning Paradigm”. Presented & Published paper in Journal, indexed in Scopus (Jun 2018)-Click here

3. Mentored two students on project titled “An Optimized Random Forest Classifier for Diabetes Mellitus”. Presented & Published paper in Springer-Advances in Intelligent Systems and Computing and indexed in Scopus (Sep 2018)- Click here

4. Mentored three students on project titled “Machine learning tree classifiers in predicting diabetes mellitus”. Presented & Published paper in IEEE Xplore, indexed in Scopus & WoS (June 2019)- Click here

5. Mentored one student on project titled “An Effective Moisture Control based Modern Irrigation System (MIS) with Arduino Nano”. Presented & Published paper in IEEE Xplore, indexed in Scopus & WoS (June 2019)-Click here

6. Mentored two students on project titled “Detection and Recognition of Objects in Image Caption Generator System: A Deep Learning Approach”. Presented & Published paper in IEEE Xplore, indexed in Scopus & WoS (June 2019)-Click here

7. Mentored three students on project titled “Analysis and prediction of cardio vascular disease using machine learning classifiers”. Presented & Published paper in IEEE Xplore, indexed in Scopus & WoS (Apr 2020)- Click here

8. Mentored three students on project titled “An Efficient Tracking System for Air and Sound Pollution using IoT”. Presented & Published paper in IEEE Xplore, indexed in Scopus & WoS (Apr 2020)-Click here

9. Mentored three students on project titled “An Ensemble Deep Learning Method for Diabetes Mellitus”. Presented & Published paper in Springer-Advances in Intelligent Systems and Computing and indexed in Scopus (Jun 2021)- Click here

10.  Mentored three students on project titled “Crime Deterrent with the Framework of Nasal Entity”. Presented & Published paper in IEEE Xplore, indexed in Scopus & WoS (Apr 2020)-Click here

11.  Mentored four students on project titled “Enhancing COVID-19 Prediction: Optimized Random Forest Classifier with Feature Selection”. Presented & Published paper in IEEE Xplore, indexed in Scopus (Apr 2024)-Click here

12.  Mentored four students on project titled “Improving Cardiovascular Disease Prediction: Machine Learning and Cross-Fold Validation”. Presented & Published paper in IEEE Xplore, indexed in Scopus (Apr 2024)-Click here

13.  Mentored (Internal) four students for 60 days (24 Jan 2024 to 24 Mar 2024) internship at NIT, Rourkela.

14.  Mentored (Internal) ten students for 60 days internship (01 Jun 2024 to 31 Jul 2024) at Mizoram University (Central University), Mizoram.

Batch-1: Presented & Published paper in IEEE Xplore, indexed in Scopus (2024)-Click here,

Batch-2:

Batch-3:

WORKSHOPS/FDP/WEBINAR/SEMINAR ATTENDED

1. Participated in Five days virtual FDP on “Applied AI: Practical Implementations”, under TechSaksham Program led by Microsoft India & SAP India from 18-22 Nov 2024.

2. Completed 8 Weeks NPTEL-AICTE FDP on “Research Methodology” (Jul-Sep, 2024).

3. Participated in Five days virtual FDP on “Methods for Improving Higher Education Teaching Quality Using Outcome Based Education, Pedagogical Approaches and NEP 2020 (OBENEP24)”, at Haldia Institute of Technology, Haldia, West Bengal, India on 22-26, July, 2024.

4. Participated in Seven days Online FDP on “Essential Skills for Professional Development in Higher Education”, by Star International Foundation for Research and Education, Tamil Nadu, India on 01-07, July, 2024.

5. Participated in Five days Virtual FDP on “AI for Educators”, at Institute of Public Enterprise (IPE), Hyderabad on 20-24, May, 2024.

6. Participated in Two days Virtual FDP on “Research Methodology and Project Work Guidance”, at Government Degree College- Korutla in Association with Institute of Public Enterprise (IPE), Hyderabad on 12th & 13th, March, 2024.

7. Participated in Five days Virtual FDP on “Unlocking Industry Insights in Data Science”, at Madanapalle Institute of Technology & Science, 12-16, Feb 2024.

8. Participated in Five days Virtual FDP on “Research- The Journey from Inception to Publishing” at Dhanraj Baid Jain College, 05-09, Feb 2024.

9. Completed 12 Weeks NPTEL-AICTE FDP on “Programming in Java” (Jan-Apr, 2024).

10.  Participated in Five days Virtual FDP on “Recent Trends in Computer Vision” at National Institute of Technology, Rourkela, 11-15, Dec 2023.

11.  Completed 12 Weeks NPTEL-AICTE FDP on “The Joy of Computing Using Python” (Jul-Oct, 2023).

12.  Participated in Two days workshop on “Applications of Artificial Intelligence using machine learning and Deep Learning” at Centre for Distance Education, College of Engineering Guindy Campus, Anna University, Chennai 28-29, Aug 2023.

13.  Participated in One Week Virtual FDP on “Cloud Infrastructure” at Guru Nanak Institution, Telangana, 21-25, Aug 2023

14.  Participated in Three days Virtual FDP on “Data Science and Its Applications” at Bapatla Engineering College, Bapatla, 7-9, Aug 2023.

15.  Participated in Two days workshop on “Cognitive Framework to Edifice Sustainable Research Culture” at St. Peter’s Institute of Higher Education and Research, 28-29, Jan 2020.

16.  Mentor in “DST & Texas Instruments India Innovation Challenge Design Contest” Organized by AICTE and anchored by NSRCEL, IIMB, 2019.

17.  Attended Amazon “AWS Innovate 2019 Online Conference” on 18 July 2019.

18.  Participated in one week workshop on “NAAC Framework” at St. Peter’s Institute of Higher Education and Research, 24-28 June, 2019.

19.  Participated in one day workshop on “Moodle- Learning Management System” at Panimalar Engineering College, Organized by IITB, 15 Mar 2019.

20.  Participated in one day workshop on “Mobile Application Development” at Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, 2019.

21.  Participated in series (Two days) of workshops on “Research Methodology and SPSS Applications” at NITTTR, Chennai, 2019.

22.  Participated in one day National Seminar on “Cyber Security” at Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, 20 Dec 2018.

23.  Participated in twelve days FDP on “Artificial Intelligence” at Saveetha Engineering College, 19 Nov- 1 Dec 2018.

24.  Participated in six days FDP on “Android Application Development” at QIS College of Engineering and Technology, 9-14 Jan 2018.

25.  Participated in five days FDP on “CISCO Networking” at QIS College of Engineering and Technology, 6-11 Dec 2017.

26.  Participated in five days FDP on “Big data platform” at QIS College of Engineering and Technology, 18-23 Dec 2017.

27.  Participated in one week FDP on “Innovative Teaching Methodologies” conducted by NITTTR, Chennai at QIS College of Engineering and Technology, 14-19 Nov 2016.

28.  Participated in two days FDTP on ‘’Grid and Cloud Computing’’ conducted by Saveetha Engineering College, 16-17 June 2016.

29.  Participated in seven days FDTP on “Distributed Computing” conducted by Madras Institute of Technology, 2015.

30.  Participated in one week training program in “Innovative Instructional Methodologies” conducted by NITTTR, Chennai at T.J.S. Engineering College, 2015.

31.  Attended Workshop on “LATEX” held at VIT Chennai, 2014.

PAPERS PRESENTED

1.     Presented a paper titled “Advancements in Face Detection: A Comparative Analysis of Classifiers and Feature Extraction Methods” in 2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies (INSPECT-2024, 7-8th Dec 2024), ABV-IIITM Gwalior, India.

2.     Presented a paper titled “Advancing Brain Tumor Detection: A Fusion of Image Augmentation and Machine Learning” in 2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies (INSPECT-2024, 7-8th Dec 2024), ABV-IIITM Gwalior, India.

3.     Presented a paper titled “Real-Time Eye-Tracking Mouse Control System using OpenCV and Facial Landmark Detection” in 2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies (INSPECT-2024, 7-8th Dec 2024), ABV-IIITM Gwalior, India.

4.     Presented a paper titled “Enhancing Alzheimer's Disease Detection: A Comparative Study of Deep Learning Techniques with Transfer Learning and Custom CNN Models” in 2nd International Conference on Computational Intelligence and Network Systems (CINS 2024 28-29 Nov 2024), BITS Pilani, Dubai Campus.

5.     Presented a paper titled “Enhanced Alzheimer's Disease Prediction through Advanced Imaging: A Study of Machine Learning and Deep Learning Approaches” in 5th International Conference on Smart Electronics and Communication (ICOSEC 18-20 Sep 2024), Kongunadu College of Engineering, Tamil Nadu.

6.     Presented a paper titled “Improving Loan approval Prediction with K-fold Cross Validation and Hyperparameter Optimization” in 3rd International Conference on Deep Sciences for Computing and Communications (IconDeepCOM-2024 24-25 April 2024), SRMIST, Chennai.

7.     Presented a paper titled “Enhancing COVID-19 Prediction: Optimized Random Forest Classifier with Feature Selection” in IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI-2024 14-16 Mar 2024), ABV-IIITM, Gwalior.

8.     Presented a paper titled “Improving Cardiovascular Disease Prediction: Machine Learning and Cross-Fold Validation” in IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI-2024 14-16 Mar 2024), ABV-IIITM, Gwalior.

9.     Presented a paper titled “Evaluation of Adaptive Synthetic Resampling Technique for Imbalanced Breast Cancer Identification” in International conference on learning and data engineering (ICMLDE 23-24 Nov 2023), UPES, Dehradun, India.

10.  Presented a paper titled “Malarial Epidemic Prognosis-A Systematic Investigation” in IEEE- 2022 International Conference on Advanced Computing & Communication Systems (ICACCS 25-26 March 2022), Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India.

11.  Presented a paper titled “Malarial Epidemic Resurge in India and its Future Implication” in IEEE- 2021 International Conference on Advanced Computing & Communication Systems (ICACCS 19-20 March 2021), Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India.

12.  Presented a paper titled “An Ensemble Deep Learning Method for Diabetes Mellitus” in 2nd International Conference on Emerging Technologies in Data Mining & Information Security (IEMIS 2-4 July 2020), Institute of Engineering & Management, Kolkata, India.

13.  Presented a paper titled “An Efficient Dynamic Power Management of Household Energy Consumables” in “2020 IEEE International Conference on Advanced Computing & Communication Systems” (ICACCS 6-7 March 2020), Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India.

14.  Presented a paper titled “Analysis and Prediction of Cardio Vascular Disease using Machine Learning Classifiers” in “2020 IEEE International Conference on Advanced Computing & Communication Systems” (ICACCS 6-7 March 2020), Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India.

15.  Presented a paper titled “Crime Deterrent with the Framework of Nasal Entity” in “2020 IEEE International Conference on Advanced Computing & Communication Systems” (ICACCS 6-7 March 2020), Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India.

16.  Presented a paper titled “An Efficient Tracking System for Air and Sound Pollution using IoT” in “2020 IEEE International Conference on Advanced Computing & Communication Systems” (ICACCS 6-7 March 2020), Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India.

17.  Presented a paper titled “Smart Card Reader for Engineering Students” in “2020 IEEE International Conference on Advanced Computing & Communication Systems” (ICACCS 6-7 March 2020), Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India.

18.  Presented a paper titled “A Drug Recommendation System for Multi-Disease in Health Care using Machine Learning” in International Conference on Advanced Communication & Computational Technology- 2019 (ICACCT – 2019, 6-7 December 2019), NIT Kurukshetra, Kurukshetra, Haryana, India.

19.  Presented a paper titled “Performance Analysis of Classification Methods for Cardio Vascular Disease” in International Conference on Advanced Communication & Computational Technology- 2019 (ICACCT – 2019, 6-7 December 2019), NIT Kurukshetra, Kurukshetra, Haryana, India

20.  Presented a paper titled “A Multi-level Access Technique for Privacy Preserving Perturbation in Association Rule Mining”, in International Conference on Artificial Intelligence and Data Engineering (AIDE 2019, 23-24 May) held at N.M.A.M. Institute of Technology, NITTE, India.

21.  Presented a paper titled “An Ensemble Multi-model technique for Predicting Chronic Kidney Disease”, in International Conference on Cutting Edge Technologies in Computing & Computing (ICCTECC 2019, 3-4 April) held at Jyothishmathi Institute of Technology And Science, Hyderabad, India.

22.  Presented a paper titled “Conditions of Deadlock Detection in Multithreaded Applications using Inheritable Systems”, in International Conference on Emerging Trends in Engineering (ICETE 2019, 22-23 March) held at University College of Engineering, Osmania University, Hyderabad, India.

23.  Presented a paper titled “Detection and Recognition of Objects in Image Caption Generator System: A Deep Learning Approach”, in International Conference on Advanced Computing & Communication Systems (ICACCS 2019, 15-16 March)held at Sri Eshwar College of Engineering, Coimbatore, India.

24.  Presented a paper titled “Machine Learning Tree Classifiers in Predicting Diabetes Mellitus”, in International Conference on Advanced Computing & Communication Systems (ICACCS 2019, 15-16 March)held at Sri Eshwar College of Engineering, Coimbatore, India.

25.  Presented a paper titled “An Effective Moisture Control based Modern Irrigation System (MIS) with Arduino Nano”, in International Conference on Advanced Computing & Communication Systems (ICACCS 2019, 15-16 March)held at Sri Eshwar College of Engineering, Coimbatore, India.

26.  Presented a paper titled” A privacy-preserving technique for incremental dataset on cloud by Synthetic data Perturbation” in the National Conference (N3CIT’19, 13 March) held at T.J.S. Engineering College, Chennai.

27.  Presented a paper titled” IoPR- An effective utilisation of processor and RAM over internet” in the National Conference (N3CIT’19, 13 March) held at T.J.S. Engineering College, Chennai.

28.  Presented a paper titled “Investigating Dengue Outbreak in Tamil Nadu, India”, in International Conference on Technical Advancements in Computer Science and Engineering (ICTACSE 2019, 8-9 February) held at Malla Reddy Engineering College for Women, Secunderabad, India.

29.  Presented a paper titled “An Ensemble Deep Learning Method for Diabetes Mellitus”, in International Conference on Artificial Intelligence, Smart Grid and Smart City Applications (AISGSC 2019, 4-5 January) held at PSG College of Technology, Coimbatore, India.

30.  Presented a paper titled “Hepatitis- Infectious Disease Prediction using Classification Algorithms”, in International Conference on Computing Communication and Cognitive Systems (IC3CIS2018, 13-14 December)held at Adhi College of Engineering and Technology, Chennai, India.

31.  Presented a paper titled “Machine Learning Tree Classifiers in Predicting Diabetes Mellitus”, in International Conference in Cognitive IoT with Big data and Cloud- (ICCIBC 2018, 25-26 October) held at Hindustan Institute of Technology and Science, Chennai, India.

32.  Presented a paper titled” Predicting Non-Small Cell Lung Cancer: A Machine Learning Paradigm”, in International conference on Advanced Computing and Big Data Analytics (ICACB 2018, 23-24 March) held at Kingston Engineering College, Vellore, India.

33.  Presented a paper titled” An Optimized Random Forest Classifier for Diabetes Mellitus”, in International conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018, 23-25 February) held at School of Information Technology (IEM Group),Kolkata, India.

34.  Presented a paper titled” Performance Comparison of Privacy Preserving Perturbation Algorithms in Association Rule Mining”, in International conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 2018, 9-10 February) held at Panimalar Engineering College,Chennai.

35.  Presented a paper titled” Performance Analysis of Classification Methods for Cardio Vascular Disease”, in IEEE- International conference on Electrical, Electronics, Computers, Communication, Mechanical and Computing (EECCMC 2018, 28-29 January) held at Priyadarshini Engineering College,Vellore.

36.  Presented a paper titled” An Efficient Statistical Method for Providing Privacy and Security in Big Data” in the National Conference (RTCISC 2016, 2-3 December) held at QIS College of Engineering and Technology, Ongole.

37.  Presented a paper titled” A Non-Synthetic Data Perturbation Technique for Privacy Preservation in Association Rule Mining” in the National Conference (RING 2015, 9 March) held at R.M.D Engineering College, Chennai.

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