Academic Information
Ph.D. (Computer Engineering) – Poornima University, Jaipur (2021)
M. Tech. (Software Engineering) – Suresh Gyan Vihar University, Jaipur (2011)
MCA – University of Rajasthan, Jaipur (2007)
B.Sc. (Mathematics) – University of Rajasthan, Jaipur (2004)
Research Areas
Research Interests
My research interests lie in the areas of Artificial Intelligence (AI), Machine Learning, Data Mining and Predictive Analytics, Weather Forecasting and Climate Informatics, Internet of Things (IoT) and Smart Systems, and Computational Intelligence. My research focuses on developing intelligent data-driven models for solving real-world problems through advanced machine learning techniques, predictive modelling, optimization algorithms, and smart computing technologies. I am particularly interested in designing robust and scalable AI-based solutions for environmental forecasting, healthcare, and intelligent decision support systems.
Courses Taught
Positions Held
Assistant Professor : University of Engineering & Management Jaipur | Feb 2022 – Sep 2023
Assistant Professor : Shri J.J.T. University, Jhunjhunu (Rajasthan) | Jun 2010 – Feb 2022
Coordinator : Vivekananda Institute of Professional Studies, Jaipur | Jun 2009 – May 2010
Lecturer : Shri Karni College, Jaipur | Sep 2008 – May 2009
Faculty : Galaxy Softech, Jaipur | Jan 2008 – Aug 2008
Publications
1. Renu Jangra, Ruchi Jain, Jyoti Yuvraj Singh Gaur, Jyoti Jain, Pawan Sharma and Yogesh Kumar Jakhar, “ Thematic Analysis of Artificial Intelligence Applications in Energy-Efficient Buildings: Trends, Challenges, and Future Directions under SDG 11” ”, 4th International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC), Year 2026 (Scopus Indexed).
2. Renu Jangra, Bilal Ahmed, Sahil Rampal and Yogesh Kumar Jakhar, “ Entropy-Controlled Ant Systems with Strong Priors and Confidence Alignment”, 4th International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC), Year 2026 (Scopus Indexed).
3. Pawan Sharma, Yogesh Kumar Jakhar, Jagriti Gupta, Bilal Ahmed, Ruchi Jain, Shailja Khanduri, Rajni Beniwal, “ Computational Intelligence: Machine Learning For Stock Market Prediction With Reference To HDFC Bank Ltd”, 13th International Conference on Intelligent Embedded, MicroElectronics, Communication and Optical Networks (IEMECON), Year 2026 (Scopus Indexed).
4. Bablu Kumar Majhi, Nabin Kumar Mahato, Pabitra Mandal and Yogesh Kumar Jakhar, “ Breast DCE MRI Registration Using Golden Jackal Optimization Algorithm”, International Conference on Computing, Intelligence, and Application (CIACON 2025), Year 2025 (Scopus Indexed).
5. Yogesh Kumar Jakhar, Pawan Sharma, Bilal Ahmed, “Stock Price Prediction by using Machine Learning Techniques: a Study of TCS Ltd”, 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS 2024), Year 2024 (Scopus Indexed).
6. Yogesh Kumar Jakhar, Nidhi Mishra, “Sentiment Analysis for Movie Reviews on Social Media based on Sentiment Lexicon and Deep Learning”, 2nd International Conference on Recent Trends in Machine Learning and Image Processing (MLIP), Year 2023 (Scopus Indexed).
7. Agrawal, Alok Kumar and Ahmed, Bilal and Jakhar, Yogesh Kumar and Bajaj, Karan and Kumar, Girish and Kumar, Mukesh, “Lifestyle Classification Amidst Psychological Impact of COVID: A Machine Learning Approach”, 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Year 2023 (Scopus Indexed).
8. A. K. Agrawal, B. Ahmed, Yogesh Kumar Jakhar, K. Bajaj, G. Kumar and M. Kumar, “Electroencephalography (EEG) Based Prediction of Learning and Responsiveness Among Students”, 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Year 2023 (Scopus Indexed).
9. Samar Thapa, Ramkishore Singh, Mahesh Bundele, Sheetal Thapa, George Thadathil, Yogesh Kr. Jakhar, “Study of thermal comfort in the residents of different climatic regions of India—Effect of the COVID-19 lockdown”, International Journal of Indoor Environment and Health,
Indoor Air. 2021; 31, pp. 899–917, Online ISSN: 1600-0668 (SCI).
10. Yogesh Kumar Jakhar, Dr. Geeta Chhabra Gandhi, “Impact of Rainfall on Indian Economy: With Reference to Crop Production”, International Journal of Modern Agriculture, Volume 10, No.3, 2021, ISSN: 2305-7246, pp. 1-7 (ESCI).
11. Yogesh Kumar Jakhar, Dr. Geeta Chhabra Gandhi, “Monsoon Rainfall Prediction through MLR, MLP, SVM Regression and Analyze Rainfall Impact on Crop Production”, International Online Conference on Emerging Trends in Multi-Disciplinary Research “ETMDR-2020”, ISBN: 978-93-5416-314-2, pp 425-432.
12. Yogesh Kumar Jakhar, Dr. Geeta Chhabra Gandhi, Dr. Nidhi Mishra and Dr. Rakesh Poonia, “Novel Approach Using Random Forest Algorithm for Rainfall Prediction on Imbalanced Dataset”, in Test Engineering and Management, March - April 2020, Volume-83, ISSN: 0193-4120, pp. 25059 – 25070 (Scopus Indexed).
13. Yogesh Kumar Jakhar, Dr. Nidhi Mishra, Dr. Rakesh Poonia, “Weather Event Prediction Using Combination of Data Mining Algorithms” Advances in Information Communication Technology & Computing, Vol. 135, 319-326, ISBN: 978-981-19-0619-0 (Springer nature).
14. Yogesh Kumar Jakhar, Nidhi Mishra and Rakesh Poonia, “Performance Analysis of Data Mining Algorithms in the Prediction of Rain Fall”, in International Journal of Recent Technology and Engineering (IJRTE), 2019, Volume-8 Issue-2, pp. 558-563, ISSN: 2277-3878 (Online) (Scopus Indexed).
15. Yogesh Kumar Jakhar, Rakesh Poonia and Nidhi Mishra, “Valuable Information Creation Using Text Mining: A Review” in Journal of Emerging Technologies and Innovative Research (JETIR), June 2019, Volume-6, Issue-6, pp 20-23, ISSN: 2349-5162 (UGC Care).
16. Yogesh Kumar Jakhar, Nidhi Mishra and Rakesh Poonia,“ Predication Accuracy Analysis of Data Mining Algorithms on Meteorological Data Using R Programming”, ELSEVIER-SSRN digital library, ISSN: 1556-5068,3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018, pp. 107-110.
17. Yogesh Kumar Jakhar, Nidhi Mishra and Rakesh Poonia,“ Review on Weather Events Forecasting Using Data Mining Algorithms”, in Journal of Software Engineering Tools & Technology Trends, STM Journals, 2018, Volume-5,Issue-1, pp. 12-22, ISSN: 2394-7292.
18. Vijay Pal Singh, Yogesh Kumar Sharma, and Yogesh Kumar Jakhar, “Role of Antivirus Software’s in Protecting Computers against Threats to their Installed Programmes”, International Journal of Research and Reviews in Computer Science (IJRRCS), Vol. 2, No. 6, December 2011, ISSN: 2079-2557, Science Academy Publisher, United Kingdom, pp. 1353-1356.
19. Yogesh Kumar Jakhar, Mrs. Savita Shiwani, Mr. Naveen Hemrajani, “Employee Performance Appraisal System and Use of Iris Biometric System in Human Resource Management Software”, 2012, International Journal of Scientific and Research Publications, Volume 2, Issue 2, ISSN 2250-3153, pp. 1-5.
20. Dr. Ruchira Bhargava and Yogesh Kumar Jakhar, “Knowledge Base Data Mining for Business Intelligence”, 2012, NATIONAL MONTHLY REFEREED JOURNAL OF REASEARCH IN SCIENCE & TECHNOLOGY, VOLUME NO.-1, ISSUE NO.-11, ISSN 2277-1174, pp. 1-5.
21. Yogesh Kumar Jakhar, “Data Warehouse Design for Business Intelligence”, 2015, International Journal of Multidisciplinary Allied Research Review and Practices, Volume 1, Issue 1, ISSN No 2455-1570 , pp. 202-206.