Dr. ABDUL LATEEF HAROON P S

About

I am Dr. Abdul Lateef Haroon P S, a distinguished academician and researcher specializing in Computer Vision, Machine Learning, Signal and Image Processing, Artificial Intelligence, and VLSI Design. I am currently serving as an Associate Professor at Ballari Institute of Technology and Management (BITM), Karnataka, where I have been contributing to both teaching and research since 2015.

I hold a PhD in Computer Vision and Machine Learning from VTU Belagavi (2020) and an M. Tech in VLSI Design & Embedded Systems (2014). My research contributions include 12 patents, 36 SCI-indexed journal papers, and 15 Scopus-indexed conference papers, focusing on AI-driven sentiment analysis, humanoid robotics, IoT-based asset tracking, and electric vehicle optimization.

As a Senior Member of IEEE, I actively participate in various IEEE societies, including ITS, CEDA, NTC, AESS, MTTS, CAS, and Young Professionals. I have been honoured with several prestigious awards, such as the IEEE Bangalore ITS Outstanding Academia Volunteer Award (2024) and the Outstanding ExeCom Member Award (2023).

In addition to my research, I serve as an IEEE Student Branch Counsellor, an Executive Committee (ExeCom) member of IEEE AP-S & MTTS Bangalore Section & IEEE AESS Bangalore Section, and a Vice Chair of IEEE ITS Bangalore Section and an organizer of multiple international conferences, making significant contributions to academia and professional development.

For more details, please visit my Vidwan Profile: https://vidwan.inflibnet.ac.in/profile/328670

Employment

• Ballari Institute of Technology and Management Associate Professor
  2015 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (46)

• Energy efficient mobile edge computing framework based on secure host level management for resource allocation
  International Journal of Cognitive Computing in Engineering 2026 DOI: 10.1016/j.ijcce.2025.11.004
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• Internet of Things-Based Wheat Disease Detection and Prediction Using Wasserstein Generative Adversarial Network with Gradient Penalty
  Lecture Notes in Electrical Engineering 2026 DOI: 10.1007/978-981-95-0788-7_11
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• MWaOA: A Bio-Inspired Metaheuristic Algorithm for Resource Allocation in Internet of Things
  Computers, Materials and Continua 2026 DOI: 10.32604/CMC.2025.067564
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• Real-Time 3D Capture Techniques for Holographic Communication Systems
  2026 DOI: 10.2139/ssrn.6389131
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• SB-MobileViT: A Lightweight Hybrid Convolutional Neural Network-Transformer Model with Soft Pooling and Bi-Level Routing Attention for Traffic Sign Recognition
  3rd International Conference on Integrated Intelligence and Communication Systems Iciics 2026 2026 DOI: 10.1109/ICIICS67880.2026.11483506
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• Deuling Deep Q-Networks with Probabilistic Attention Mechanism Based Beamforming in 5th Generation Networks
  Lecture Notes in Electrical Engineering 2026 DOI: 10.1007/978-981-96-7991-1_15
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• Regression-Based S11 Prediction of Slot-Loaded Microstrip Patch Antennas using MATLAB Antenna Toolbox
  2025 IEEE Microwaves Antennas and Propagation Conference Mapcon 2025 2025 DOI: 10.1109/MAPCON65020.2025.11426373
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• The Quasi-Oppositional-Based Learning Aquila Optimization Routing Protocol in Energy-Aware Wireless Communication
  Springer Nature Singapore 2025 DOI: 10.1007/978-981-97-7876-8
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• Intelligent Plant Disease Detection and Classification using HV-GNN with Ontology-Driven Knowledge Embedding
  ITM Web of Conferences 2025 DOI: 10.1051/ITMCONF/20257901047
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• Integrated Knowledge Guided Graph Attention Network with Mixture Density Network for Crop Yield Prediction
  ITM Web of Conferences 2025 DOI: 10.1051/ITMCONF/20257901045
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