Puneet Kapoor
Assistant Professor
GATE qualified, Masters in Computer Science (BITS, Pilani)
Puneet Kapoor is a distinguished academic and researcher. His research interests extend into the cutting-edge domains of Artificial Intelligence (AI), Generative AI, Deep Learning, and Data Structures and Algorithms (DSA), reflecting his commitment to advancing knowledge in these areas. Kapoor's academic journey began with a Master of Engineering in Computer Science from the Birla Institute of Technology & Science (BITS), Pilani, where he excelled in the BITS HD entrance exam and qualified for the GATE in 2011.Transitioning from academia to industry, Mr. Kapoor served as a Technology Analyst (Level-4) at Infosys Limited for four years, where he honed his technical skills and gained valuable professional experience. However, his passion for teaching and mentoring led him back to academia, where he has since made significant contributions. He currently holds the position of Senior Assistant Professor at Shoolini University and has previously served as the Head of the Department of Mathematics at Spectrum Eduventures, guiding students preparing for competitive exams like GATE. With over 12 years of experience in teaching and training students, Mr. Kapoor has established himself as a dedicated educator, committed to nurturing the next generation of computer scientists and engineers. His journey is a testament to his dedication to both research and teaching, as he continues to inspire and motivate his students to explore the frontiers of technology and innovation in the field of computer science and engineering.
Publications
Research Papers:
Ø Puneet Kapoor, Sakshi Kaushal, and Harish Kumar. 2023. A Review on Architecture and Communication Protocols for Electric Vehicle Charging System. In Proceedings of the 4th International Conference on Information Management & Machine Intelligence (ICIMMI '22). Association for Computing Machinery, New York, NY, USA, Article 83, 1–6. https://doi.org/10.1145/3590837.3590920
Ø A. Rana, P. Vaidya, P. Kapoor and G. Gupta, "Edge Preservation Gradient based Smoothing to Multiplicative the Image Noise," 2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA), 2022, pp. 1-6, doi: 10.1109/ICCSEA54677.2022.9936181.
Research Gate:- https://www.researchgate.net/profile/Puneet-Kapoor-6
v Courses/Certification completed
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S.No. |
Course name |
Certificate reference Link |
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1. |
Supervised Machine Learning: Regression and Classification |
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2. |
Advanced Learning Algorithms |
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3. |
Unsupervised Learning, Recommenders, Reinforcement Learning |
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4. |
Neural Networks and Deep Learning |
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5. |
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning |
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6. |
Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) |
Advanced Engineering Optimization Through Intelligent Techniques |
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7. |
Machine Learning |
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8. |
Convolutional Neural Networks in TensorFlow
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9. |
Natural Language Processing in Tensorfloe |