Nilesh Uke
Indira College of Engineering and Management, Trinity Academy of Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Pimpri Chinchwad College of Engineering
About
Dr. Nilesh Uke is an academician, researcher, and academic administrator with extensive experience in Computer Engineering, higher education, curriculum development, and institutional quality enhancement. He has been actively involved in teaching, research, academic administration, and the design and implementation of outcome-based and NEP 2020–aligned curricula. His professional interests include Artificial Intelligence, Data Science, Cyber Security, Generative AI, Robotics and Automation, research visibility and impact, and emerging technologies in engineering education. He has contributed to curriculum development and academic policy initiatives associated with Savitribai Phule Pune University and has been actively engaged in Board of Studies activities. His academic and administrative work also encompasses accreditation, quality assurance, faculty development, research promotion, industry–academia collaboration, and institutional development. He is committed to promoting innovation, interdisciplinary learning, research excellence, and technology-enabled transformation in higher education.
Employment
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Indira College of Engineering and Management Principal2024 - Present
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Trinity Academy of Engineering Principal2018 - Present
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Pimpri Chinchwad College of Engineering Professor2016 - 2018
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Sinhgad College of Engineering Vadgaon Associate professor2001 - 2016
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National Defence Academy Lecturer1996 - 2001
Education
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Shri Guru Gobind Singhji Institute of Engineering and Technology PhD2009 - 2014
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Bharati Vidyapeeth Deemed University College of Engineering Pune ME2001 - 2005
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Government College of Engineering Amravati BE1991 - 1996
Projects & Funding
Projects & funding information is unavailable.
Publications (133)
- An Analysis of Image Edge Detection Techniques for Forensics Analysis Save
- WILO-BiLSTM: Optimization Based Bidirectional Long Short-Term Memory Model for Intelligent Virtual Assistant System Save
- MCSA-MCMN: Attention-Enabled Mixed Learning-Based Convolutional Memory Network for Abnormal Event Detection and Severity Classification Save
- Unified framework for image forgery detection and localization using multi-branch deep models Save
- Adaptive robotic systems for assisting healthcare professionals in pandemic scenarios Save
- Adaptive robotic systems for assisting healthcare professionals in pandemic scenarios Save
- An Analysis on Feature Descriptors Used in Computer Vision Save
- An effective multi-modal fusion based emotional recognition using cross attention auto encoded puma graph embedding model Save
- MODN-CHALLENGES AND EMERGING SOLUTIONS FOR MULTI OBJECT DETECTION ACROSS MULTIPLE NONOVERLAPPING CAMERAS IN REAL TIME … Save
- Machine Learning And Filtering Techniques For Artefact Removal In EDA Signals During Fetal Movement Monitoring Save