Dileep Yadav
Bennett University, Galgotias University, Jawaharlal Nehru University, Uttar Pradesh Technical University (Dr. APJ AKTU Lucknow), AKTU
About
Dr. Dileep Kumar Yadav is currently working as a professor at SCSET, Bennett University, Greater Noida, UP, India, and has more than 14 years of teaching experience in various universities and engineering colleges in Delhi-NCR. Dr. Dileep Kumar Yadav is an Alumnus of Jawaharlal Nehru University, New Delhi. He is also handling a Govt. funded project from CST, UP Lucknow, and is also a recipient of an international travel grant from JNU, New Delhi. He also received fellowships named UGC-Plan and MCM during his PhD and MTECH from JNU, New Delhi. Dr. Yadav also received a fellowship from DST-PURSE (Phase-2) from JNU, New Delhi in 2016. Dr. Yadav delivered consultancies to Tata Consultancy Services (TCSion) and RGBSI, Bangalore. Being a true Mentor, Dr. Dileep has supervised 5 PhD thesis (4 awarded, 1 submitted) and 3 MTECH dissertations. Dr. Dileep is a Sun Certified Java Programmer (certification of SCJP 1.5 platform). He is an author of 104 research publications (Patents (10 (3 granted), 7 published), 35 Journals (10 SCI/SCIE, 18 SCOPUS), 42 conferences, 7 books, 10 chapters, 1 article, etc) with reputed national and international publishers. Dr. Dileep Kumar Yadav is also associated with many international journals as an Associate Editor, Member, Int. Editorial Board member, etc. He receives various awards from national and international research organizations. He also supervises many national and international students in the pursuit of their research work.
Currently, he is also supervising various research students in the domains of Data Analytics, Image Processing, Computer Vision, Artificial Intelligence, Gen AI, Large Language Tools, Machine Learning, and Deep Learning.
Dr. Yadav has also worked as a resource person, distinguished speaker, invited speaker, and session chair in national/international conferences, workshops, FDP, SSTP, ATAL-FDP, etc. He also delivered an invited lecture at Mahatma Hansraj Malaviya Mission Teacher Training Centre (MH-MMTTC), Hansraj College, University of Delhi, and an ICSSR-sponsored workshop at Delhi School of Economics, University of Delhi, New Delhi. He also acts as a resource person in AICTE Training and Learning (ATAL) Academy Sponsored, GRIET, Hyderabad. DR. Dileep Kumar Yadav also acts as a guest lecturer to cover the Java course for MCA students at Central University of Haryana, Mahendergarh, Haryana in 2015. Dr. Dileep also delivers professional service as a reviewer of journals of repute, guest editor, etc for international publishers such as IEEE, Elsevier, Springer, etc.
Employment
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Bennett University Professor2025 - Present
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Bennett University Associate Professor2023 - 2025
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Galgotias University Professor2021 - 2023
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Galgotias University Associate Professor2017 - 2021
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AKTU Assistant Professor2016 - 2017
Education
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Jawaharlal Nehru University PhD2011 - 2016
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Jawaharlal Nehru University MTECH2009 - 2011
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Uttar Pradesh Technical University (Dr. APJ AKTU Lucknow) BTECH2002 - 2006
Projects & Funding
Projects & funding information is unavailable.
Publications (28)
- Dual-boosted capsule networks: Attention-enhanced routing and feedback learning for leaf disease classification on heterogeneous datasets Save
- Performance comparison of optical flow and background subtraction and discrete wavelet transform methods for moving objects Save
- Moving objects detection based on histogram of oriented gradient algorithm chip for hazy environment Save
- Intelligent Technique for Moving Object Detection from Problematic Video Captured through Camera Sensor Save
- A Review on Haze Removal Methods in Image and Video for Object Detection and Tracking Save
- Moving human detection and tracking from thermal video through intelligent surveillance system for smart applications Save
- Various Dehazing Techniques for Vehicle Detection and Tracking in Hazy Environment - A Survey Save
- An improved statistical approach for moving object detection in thermal video frames Save
- Various Dehazing Techniques for Vehicle detection and tracking in Hazy Environment- A survey Save
- Object Identification and Tracking Using YOLO Model: A CNN-Based Approach Save