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Abhijeet Anil Urunkar

Assistant Professor · Walchand College of Engineering Sangli

https://researchid.co/urunkaraa
@walchandsangli.ac.in
9Scopus Publications
32Google Scholar Citations
2Google Scholar h-index
1Google Scholar i10-index

Research Interests

Deep Learming

Biography

Abhijeet Anil Urunkar is a dedicated and accomplished academician with a strong background in computer engineering and information technology. He has served as an Assistant Professor at several esteemed institutions, including Walchand College of Engineering, Sangli, and Annasaheb Dange College of Engineering and Technology, Ashta. Over the course of his career, Abhijeet has taught a diverse range of subjects such as Object-Oriented Modeling and Design, Software Engineering, Cyber Laws, Operating Systems, Internet of Things, and Computer Programming. Born on April 17, 1986, in Sangli, Maharashtra, Abhijeet pursued his education with a passion for technology. He holds an M.E. in Computer Engineering from Savitribai Phule Pune University, Pune, where he graduated with a First Class. He also earned a B.E. in Information Technology from Shivaji University, Kolhapur, and a Diploma in Computer Engineering from MSBTE, achieving commendable grades throughout his academic journey.

Education

ME Computer Engineering

Recent Scopus Publications

  1. RicNet: Enhancing Rice Leaf Disease Detection Through Optimized Convolutional Neural Network Architectures and Dropout Configurations
    Lecture Notes in Networks and Systems, 2026
  2. Log Monitoring System in Kubernetes for Enterprise Cloud
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  3. Supervised Learning Techniques for Deepfake Detection: Integrating ResNet50 and LSTM
    2025 1st International Conference on Aiml Applications for Engineering and Technology Icaet 2025, 2025
  4. Real Time Threat Detection in Public Places Using Dual CNN Models for Violence and Weapon Detection
    2025 International Conference on Future Technologies Icft 2025, 2025
  5. Deep Fake Detection using ResNext Convolutional Neural Network (CNN) combined with a Recurrent Neural Network (RNN)
    2024 5th IEEE Global Conference for Advancement in Technology Gcat 2024, 2024

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