Biography

Deepak Painuli is an esteemed academician and technologist with over 18+ years of experience in
the field of Computer Science and Engineering. Currently serving as the Head of the Department
of Computer Science and Engineering, his expertise spans across Machine Learning, Operating
Systems, Data Structures, and Computer Networks. He has made significant contributions to the
academic community through his research publications, well as reviewer-ship of various eminent
journals and guidance provided to several master and bachelor level students. His research
interests encompass various facets of computer science, prominently focusing on Artificial
Intelligence, Machine Learning, Medical Diagnosis, Cloud Computing, Computer Network &
Security. As Head of the Department of Computer Science and Engineering, He continues to
inspire and mentor the next generation of computer scientists. His leadership is characterized by a
vision for integrating cutting-edge research with practical applications, preparing students to excel
in the rapidly evolving technological landscape. Outside academia, he enjoys engaging in activities
that promote holistic well-being, and he remains committed to lifelong learning and personal
growth.

Publications

• Painuli, D., & Bhardwaj, S. (2022). Recent Advancement in Cancer Diagnosis Using Machine Learning and Deep Learning Techniques: A Comprehensive Review. Computers in Biology and Medicine, 146, 105580.
• Painuli, D., Bhardwaj, S., Köse, U. (2023). Optimized Diagnosis of Central Nervous System (CNS) Cancer Using Gene Expression Microarray & Machine Learning (ML) Methods, European Chemical Bulletin, 12(10), 9757-9771.
• Painuli, D.., Kumar, S., Bhardwaj, S., & Aggarwal, M. (2023). Machine Learning Based Study on Aphid Infestation in Agriculture Crop at Uttarakhand, Advances in Food Sciences, 45(02), 42-56.
• Painuli, D., Mishra, D., Bhardwaj, S., & Aggarwal, M. (2020). Machine Learning Based Model to Combat Covid19, International Journal of Information Technology and Electrical Engineering, 09(04), 33-40.
• Painuli, D., Mishra, D., Bhardwaj, S., & Aggarwal, M. (2020). Fuzzy Rule Based System to Predict COVID19-A Deadly Virus. International Journal of Management and Humanities, 3(4), 5.
• Jyoti, N, Mishra, D., Rathi, N., & Painuli, D. (2018). Fuzzy Expert System to diagnose Psoriasis Disease. International Journal of Computer Science and Information Security (IJCSIS), 16(9).
• Painuli, D. & Mishra, D. (2017). Threats of Cloud Computing and Its Security-A Survey. International Journal of Current Engineering and Scientific Research (IJCESR), 4(10). 80-94.
• Painuli, D. & Mishra, D. (2017). A Rule Based Hybrid Expert System Model for Diagnosis of Diabetes. International Journal of Current Engineering and Scientific Research (IJCESR), 4(10). 116-119.
• Painuli, D. & Joshi, A. (2017). Path Determination and Optimizing: Manet. International Journal of Current Engineering and Scientific Research (IJCESR), 4(10). 120-121.
• Saini, S., Vig, V., & Painuli, D. (2016). Speaker Recognition- A Fact-Based Approach Using Neural Network and HMM/GMM, International Journal of Engineering Research & Management Technology, 03(03). 44-49.
• Mishra, D., Rathi, N., & Painuli, D. (2016). Rule Based Expert System for Medical Diagnosis-A Review, International Journal of Engineering Technology, Management and Applied Sciences, 04(12). 167-172.
• Rao, D., Painuli, D., & Verma, K.K. (2016). Homomorphic Hybrid Encryption for Cloud Computing, International Journal of Advanced Research in Computer and Communication Engineering, 05(05). 663-666.
• Samant, S., Painuli, D., & Gupta, A. (2016). Secured Password Authentication Scheme, International Journal of Computer Science and Information Technology & Security (IJCSITS), 05(05). 663-666.
• Painuli, D., Mishra, D., Bhardwaj, S., & Aggarwal, M. (2021). Forecast and prediction of COVID-19 using machine learning. In Data Science for COVID-19 (pp. 381-397). Academic Press. (SCOPUS Indexed)
• Painuli, D. et.al. ”AI based Smart Goggles for Construction Labours". Design Published & Granted in Official Journal of Patent Office (UK). Date 07/07/2023. Design No: 6306172.
• Painuli, D. et.al. "Soft Fairness Based Scheduling Mechanism Using Machine Learning for Cloud Computing". Patent Published in Official Journal of Patent Office (INDIA). Date 10/09/2021. Application No: 202141039379.
• Painuli, D. et.al. "Robust Outlier Detection in Noisy Data Classification System Under Abundant Mislabeled Training Instances Using SVM LIE Group Machine Learning Model for Brain Images". Patent Published in Official Journal of Patent Office (INDIA). Date 27/08/2021. Application No: 202141037190.

Awards and Achievement

• Mentorship of Three Courses on DeepLearning.AI (Coursera) for year 2021.
• IBM Certification for RAD 6.0.
• NIIT Certification in C++ Programming.