Dr. Yugal Kumar

Specialization: CSE

Area of Interest:
Data Analytics,
Clustering,
Meta-heuristic Algorithms,
Feature Engineering,
Single/Multi Objective Optimization.

Project: 01 (Completed) Sponsored agency- HIMCOSTE, DST, Himachal Pradesh.

Ph.D: Awarded: 06 Submitted: 1, Ongoing: 04

Teaching Experience: 16 Years

• Associate Professor in Department of Computer Science and Engineering, Jaypee University of Information Technology, Wakanghat, Solan, Himachal Pardesh, India from 15^th April 2022 to 20^th April 2024.
• Assistant Professor (Senior Grade) in Department of Computer Science and Engineering, Jaypee University of Information Technology, Wakanghat, Solan, Himachal Pardesh, India from 1^st May 2017 to 14^th April 2022.
• Assistant Professor in department of Information Technology, KIET Group of Institutions, Ghaziabad, Uttar Pradesh from 4^th August, 2015 to 29^th April 2017.
• Teaching cum Research Scholar in Department of Computer Science and Engineering, Birla Institute of Technology from 1^st October, 2012 to 31^st July 2015.
• Assistant Professor in Department of Computer Science & Engineering in Hindu College of Engineering, Sonipat, Haryana from 3^rd August, 2010 to 22^nd September 2012.
• Lecturer in Department of Computer Science and Engineering, in Panipat Institute of Engg and Technology, Samalkha, Panipat, Haryana from 10^th August 2009 to 2^nd August 2010.

Paper Publications:

1. Jigyasa Goyal, Kumar Yugal, Pardeep Kumar, Arvinder Kaur. An Enhanced Human Learning Optimization Algorithm for Effective Data Clustering International Journal of Grid and Utility Computing, InderScience, 2023.
2. Kukkar, A., Kumar Yugal, Sharma, A., & Sandhu, J. K. Bug Severity Classification in Software Using Ant Colony Optimization Based Feature Weighting Technique. Expert Systems with Applications, Vol. 230, 2023.
3. Praveen Modi and Kumar Yugal. Smart Detection and Diagnosis of Diabetic Retinopathy Using Bat Based Feature Selection Algorithm and Deep Forest Technique, Computers & Industrial Engineering, 2023.
4. Kumar D., Mandal N., Kumar Yugal. Cloud Based Advanced Shuffled Frog Leaping Algorithm for Tasks Scheduling, Big Data Journal, 2023.
5. Kumar, D., Mandal, N., & Kumar Yugal. Fog-based framework for diabetes prediction using hybrid ANFIS model in cloud environment. Personal and Ubiquitous Computing, 27(3), 909-916, 2023.
6. Kumar, Raghavendra, Pardeep Kumar, and Kumar Yugal. Three stage fusion for effective time series forecasting using Bi-LSTM-ARIMA and improved DE-ABC algorithm, Neural Computing and Applications 34 (21), 18421-18437, 2022.
7. Arvinder Kaur and Kumar Yugal. A multi-objective vibrating particle system algorithm for data clustering. Pattern Analysis and Application, Springer, 25(1), 209-239, 2022.
8. Arvinder Kaur and Kumar Yugal. Neighborhood Search Based Improved Bat Algorithm for Data Clustering. Applied Intelligence Journal, Springer, pp. 1-35, 2022.
9. Arvinder Kaur and Kumar Yugal. A New Metaheuristic Algorithm based on Water Wave Optimization for Data Clustering. Evolutionary Intelligence Journal, Springer, 15(1), 759-783 2022
10. Srivastava, Anand Kumar, Kumar Yugal., and Pradeep Kumar Singh. Hybrid diabetes disease prediction framework based on data imputation and outlier detection techniques. Expert Systems, 39(3), 2022.
11. Kumar, Raghavendra, Pardeep Kumar, and Kumar Yugal.. Integrating big data driven sentiments polarity and ABC-optimized LSTM for time series forecasting. Multimedia Tools and Applications (2021): 1-20.
12. Kumar Yugal and Kaur Arvinder. Variants of Bat algorithm for Solving Partitional Clustering Problems. Engineering with Computers Journal, Springer, pp. 1-27, 2021.
13. Kukkar, Ashima, Rajni Mohana, Kumar Yugal, Anand Nayyar, Muhammad Bilal, and Kyung S. Kwak. A Deep Learning Technique Based Duplicate Bug Report Detection and Classification System. IEEE Access (2020).
14. Sharma, Amit, Pradeep Kumar Singh, and Kumar Yugal. An integrated fire detection system using IoT and image processing technique for smart cities. Sustainable Cities and Society 61 (2020): 102332.
15. Kumar, Diyansh, Kumar, Yugal, Kumar, Arvind and Singh K. Pradeep. Applicability of Wireless Sensor Networks in Precision Agriculture: A Review. Wireless Personal Communication, Volume 107 (1), pp 471–512, July 2019.
16. Kumar, Yugal and Pradeep Kr. Singh. A Chaotic Teaching Learning based Optimization Algorithm for Clustering Problems. Applied Intelligence Journal, Volume 49(3), pp. 1036–1062, 2019.
17. Yadav H. B., Kumar D., Kumar S., and Kumar Yugal, "A Fuzzy Logic Based Approach for Decision Making”, Journal of Intelligent & Fuzzy Systems, IOS press, vol. 35, no. 2, pp. 1531-1539, 2018.
18. Kumar, Yugal and Pradeep Kr. Singh, "An Improved Cat Swarm Optimization Algorithm for Solving Global Optimization Problems and its application to clustering problems”, Applied Intelligence Journal, Springer, vol. 48, no. 9, pp. 2681–2697, 2018.
19. Kumar, Yugal and Sahoo, G. Hybridization of Magnetic Charge System Search Method for Efficient Data Clustering. Malaysian Journal of Computer Science, 31(2), pp. 108-129, 2018. (SCI IF 0.975)
20. Kumar, Yugal and Sahoo, G. A Two Step Artificial Bee Colony Algorithm for Clustering Problems. Neural Computing and Applications Journal, Springer, 28(3), 537-551 2017.
21. Gambhir, S., Malik, S.K. and Kumar, Yugal. Role of Soft Computing Approaches in HealthCare Domain: A Mini Review. Journal of Medical Systems, Springer, Vol. 40(12), pp-287-307, 2016.
22. Kumar, Yugal and Sahoo, G. Hybridization of Magnetic Charged System Search and Particle Swarm Optimization for efficient Data Clustering Using Neighborhood Search Strategy. Soft Computing Journal, Springer, Vol. 19(12), pp-3621-3645, 2015.
23. Kumar, Yugal and Sahoo, G. A Hybrid Data Clustering Approach based on improved Cat Swarm Optimization and K- Harmonic Mean Algorithm. AI communications, IOS press, Vol. 28(4), pp-751-764, 2015.
24. Kumar, Yugal and Sahoo, AJ. Seminal Quality Prediction using Data Mining Methods. Technology and Health Care journal, IOS press, Vol. 22(4), pp 331-345, 2014.
25. Kumar, Yugal and Sahoo, G. Prediction of different types of liver diseases using rule-based classification model. Technology and Healthcare, Vol. 21(5), pp 417-432, 2013.

Conferences and Paper Presentations:

1. Modi P. and Kumar Y., "Augmentation Based Diabetic Retinopathy System Using Fundus Images", Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC) held at Jaypee University of Information Technology on 25th - 27th November, 2022.
2. Modi P. and Kumar Y., " CNN-MLP Based Prediction Model for Grading of Diabetic Retinopathy", Seventh International Conference on Parallel, Distributed and Grid Computing(PDGC) held at Jaypee University of Information Technology on 25th - 27th November, 2022
3. Thakur D, Kumar Y., Singh PK., Juneja A., "Measuring Environmental Parameters and Irrigation for Rose Crops using Cost Effective WSNs Model", 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT-2022) on November 11-12, 2022 held at KIET Group of Institutions, Ghaziabad, India.
4. Kaur and Y. Kumar, "Water Wave Optimization Based Data Clustering Model",in 1st International Conference on Mechatronics and Artificial Intelligence held on February 26 -27, 2021, SGT University Gurugram.
5. Kaur and Y. Kumar, "Recent Developments in Bat Algorithm: A Critical Mini Review",in 1st International Conference on Mechatronics and Artificial Intelligence held on February 26 -27, 2021, SGT University Gurugram.
6. Kumar, R., Kumar, P., & Kumar, Y. (2021, January). Analysis of Financial Time Series Forecasting using Deep Learning Model. In 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 877-881). IEEE.
7. Kumar, R., Kumar, P., & Kumar, Y. (2020). Time series data prediction using IOT and machine learning technique. Procedia computer science, International Conference on Computational Intelligence and Data Science 167, 373-381.
8. Muchtar, Farkhana, Pradeep Kumar Singh, Yugal Kumar, Asma Hanee Ariffin, Suzi Iryanti Fadilah, and Mohd Najwadi Yusoff. "ToMRobot: A Low-Cost Robot for MANET Testbed." In 2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC), pp. 54-59. IEEE, 2018.
9. Srivastava, Anand Kumar, Pradeep Kumar Singh, and Yugal Kumar. "A Taxonomy on Machine Learning Based Techniques to Identify the Heart Disease." In International Conference on Next Generation Computing Technologies, pp. 13-25. Springer, Singapore, 2018.
10. Muchtar, Farkhana, Abdul Hanan Abdullah, Siti Nor Zawani Ahmmad, and Yugal Kumar. "Mobility in MANET Using Robot: A Review." In International Conference on Futuristic Trends in Network and Communication Technologies, pp. 304-324. Springer, Singapore, 2018.
11. Singh, Pradeep Kumar, Sankalp Jain, Akshat Mathur, and Yugal Kumar. "An analysis on the potentials of Vertical Greenery System (VGS) in context to the application viewpoint." In 2017 4th International Conference on Signal Processing, Computing and Control (ISPCC), pp. 632-636. IEEE, 2017.
12. Singh, Pradeep Kumar, Sheely Garg, Mandeep Kaur, Manpreet Singh Bajwa, and Yugal Kumar. "Fault localization in software testing using soft computing approaches." In 2017 4th International Conference on Signal Processing, Computing and Control (ISPCC), pp. 627-631. IEEE, 2017.
13. Dalal, S., Dahiya, N., Kumar, Y. and Khatri, S., Cat swarm optimization: applications and experimental illustrations to data clustering, 2nd International Conference on Sustainable Computing Techniques in Engineering, Science and Management (SCESM 2017) will be held Jain College of Engineering, Belgaum,, Goa, India.
14. Kumar, Yugal and Sahoo, G. "An Improved Cat Swarm Optimization Algorithm for Clustering”, In international Conference on Computational Intelligence in Data Mining (ICCIDM-2014) on 20th- 21st Dec. 2014 at Veer SurendraSai University of Technology (VSSUT), Burla, Sambalpur, Odisha and proceedings published in the Springer's Series on Smart Innovation, Systems and Technologies, Germany, 2014 (Scopus).
15. Yugal Kumar and G. Sahoo, "Analysis of Bayes, Neural Network and Tree Classifier of Classification Technique in Data Mining using WEKA” published in the Second International Conference on Computer Science, Engineering and Applications (CCSEA-2012), May 26 ~ 27, 2012, Delhi, India, Proceedings, volume Editors: David C. Wyld et al. (Eds): CCSEA, SEA, CLOUD, DKMP, CS & IT 05, pp. 359–369, 2012. ISBN: 978-1-921987-03-8, DOI: 10.5121/csit.2012.2236.
16. Yugal Kumar, Ravi Sing Rana and Samit Yadav "A Comparative Study of Various Algorithms and Performance in Vehicular Ad-hoc Network” published in the proceeding of the International Conference held at PDM College of Engg. on 18-19th June 2009.
17. Ravi Sing Rana, Yugal Kumar and Samit Yadav "Increases the performance of MANET using gateways” published in the proceeding of the International Conference held at PDM College of Engineering on 18-19th June 2009.
18. Yugal Kumar, Akash Kadian and Rajeev Yadav "A Survey on Autonomic Computing Definition, Concept and Architect” published in the proceeding of the International Conference on Computing (ICC 2010) organized by the Advanced Computing Research Society held at Institute for Defense Studies and Analysis, New Delhi on 27-28th Dec.2010, ISBN – 978-81-920305-1-7.

Official Email ID: Yugal.kumar@nmims.edu