Faculty
Mr. Puneet Kumar Yadav
Teaching Assistant
Alliance College of Engineering and Design
Prof. Puneet Kumar Yadav is an expert in Machine Learning, Artificial Intelligence, and Deep Learning. He has experience as an Assistant Professor at Chandigarh University and Ambalika Institute of Technology Lucknow, where he worked in the CSE Department.
He holds an M. Tech degree in AI and ML from the prestigious Government Autonomous Research Driven Institute, CENTRE FOR ADVANCE STUDIES LUCKNOW. With his strong educational background and teaching experience, Er. Puneet Kumar Yadav is well-versed in the fields of AI, ML, and Deep Learning.
- K. Yadav and A. Kumar, "Analysis of Machine Learning Model for Anomaly and Attack Detection in IoT Devices," 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2022, pp. 387-392, doi: 10.1109/ICIRCA54612.2022.9985703.
- Bhatnagar, G. Rozinaj and P. K. Yadav, "Web Intrusion Classification System using Machine Learning Approaches," 2022 International Symposium ELMAR, Zadar, Croatia, 2022, pp. 57-60, doi: 10.1109/ELMAR55880.2022.9899790.
- Kumar, P. K. Yadav and V. Yadav, "Detection of Brain Tumor using CNN," 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2022, pp. 1121-1126, doi: 10.1109/ICIRCA54612.2022.9985573.
- Sahu S, Divya K, Rastogi N, Yadav PK, Perwej Y. Sentimental Analysis on Web Scraping Using Machine Learning Method. Journal of Information and Computational Science. 2022;12.
- Puneet Kumar Yadav “MRI based Automatic Brain Stroke Detection using CNN Models Improved with Model Scaling” 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN 2023)
Patent
- AN IoT BASED SYSTEM FOR DATA SCQUISTION
(Application No. 2022/13746) REPUBLIC OF SOUTH AFRICA Granted – March 2023
The present invention relates to field of data security, and more particularly to an IoT based system for data acquisition. A fault in an electrical equipment is defined as a defect in its electrical circuit due to which the current is diverted from the intended path. Faults are generally caused by mechanical failure, accidents, excessive internal and external stresses etc. The fault impedance being low, the fault currents are relatively high. During the faults, the power flow is diverted towards the fault and the supply to the neighboring zone is affected. Voltages become unbalanced. It is necessary to detect the fault as early as possible that is being made using microcontroller to make its process faster. It will detect following four major faults and will give trip signal to relay. An Internet of Things (IOT) based power quality analyzer is useful to adequately and accurately indicate the fault that had occurred.
- A SYSTEM ESTIMATION AND BALANCING OF BATTERY STATE OF CHARG
The present invention relates to a field of battery charging systems and in particularly a system estimation and balancing of battery state of charge using BMS algorithm. The term "battery energy storage system" (BESS) refers to a collection of cells that may be used in series or parallel for a variety of purposes, including laptops and electric cars. An overcharged cell has a significant danger of exploding, but an undercharged cell might shorten the battery's lifecycle. For this reason, it is crucial to always keep the voltage of a cell inside its design limits. A charge imbalance between the battery cells can also result from frequent battery charging and discharging because of variations in internal resistance, chemical deterioration, and temperature gradient along the string pack.
Reviewer IEEE Conferences
- 2nd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics ICDECF-2023 IEEE Bangalore Section
- Shree Dharmasthala Manjunatheshwara college of engineering and Technology Dharwad ( ICAISC-2023)
