Dr. Pranav Kumar Singh
Central Institute of Technology Kokrajhar Deemed to be University
About
Dr. Pranav Kumar Singh (Senior Member, IEEE) is an Associate Professor in the Department of Computer Science and Engineering at Central Institute of Technology, Kokrajhar, India. He has over 18 years of teaching experience and holds a Ph.D. in Computer Science and Engineering from IIT Guwahati.
In addition to his academic work, Dr. Singh has also served as a Nodal Officer for the National Knowledge Network (NKN) and IPv6 Road Map of CITK, an initiative by the Government of India. He has also been a Technical Program Committee (TPC) member for various national and international conferences and is an active reviewer for several top journals.
Dr. Singh has published around 50 journal articles and conference papers, and his research interests include vehicular communications, security and privacy, software-defined vehicular networking, QoS and QoE in wireless communication, intelligent transportation systems, blockchain, and the IoT.
For more information, please visit https://cit.ac.in/profile-cse-dr-pranav-kumar-singh
Employment
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Central Institute of Technology Kokrajhar Deemed to be University Associate Professor2007 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (69)
- A Comparative Analysis of Deep CNN Models for Classifying Plant Leaf Disease Save
- A Machine Learning Based Approach for Automatic Crop Recommendation System Save
- Leveraging Transfer Learning for Identification of Wild Edible Vegetables of Assam’s Bodoland Region Save
- MaizeViT: Detection and Classification of Maize Leaf Diseases Using Convolutional Networks and Vision Transformers Save
- Leveraging Squeeze Aggregation Excitation and Positional Encoding in ResNet‐50 for Rice Leaf Disease Classification Save
- Legal NLP in India: a comprehensive survey of tasks, challenges, and future directions Save
- Crop Health Monitoring Through AI-Based Crop Leaf Disease Detection Systems Save
- SAFe‐Health: Guarding federated learning‐driven smart healthcare with federated defense averaging against data poisoning Save
- RFPM: A RSU‐aided framework for pseudonym management to preserve location privacy in IoV Save
- Evaluating Deep CNNs and Vision Transformers for Plant Leaf Disease Classification Save