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Dr. Hashmat Fida

Assistant Professor, School of Computer Science & Engineering · Presidency University, Bengaluru India

https://researchid.co/hashmatfida
@presidencyuniversity.in
19Scopus Publications
16Google Scholar Citations
2Google Scholar h-index

Research Interests

Next-Gen Space & Robotic Systems, Cyber-Physical Intelligence, AI-ML, IoT, Vision-Enabled Autonomy

Biography

As an Assistant Professor specializing in AI-ML, IoT, and vision-enabled autonomy, I focus on bridging theory and practical innovation. My research is deeply rooted in cyber-physical systems, pushing boundaries in next-gen space systems, intelligent robotic platforms, and smart infrastructure. In recent projects, I’ve advanced intelligent traffic management systems, integrating V2X communication and IoT to create safer, more efficient urban mobility. I’m passionate about V2R and V2X integration, leveraging LiDAR and sensor fusion to build truly connected environments. My interest extends into space-based cyber intelligence and autonomous robotic systems. I explore how AI-driven autonomy can revolutionize space exploration, with resilient, intelligent systems capable of thriving in unknown environments. I’m involved in projects on collaborative multi-robot swarms, focusing on how robots can dynamically adapt, cooperate, and make decisions in real-time.

Education

Ph.D Computer Science & Engineering

Recent Scopus Publications

  1. Navigating ambiguity: smart decision-making with pythagorean fuzzy sets in granular uncertainty
    Iran Journal of Computer Science, 2026
  2. Smart Flow-X: A Data-Driven Urban Intelligence and Coordination Framework for Real-Time Systems
    Computer Networks, 2026
  3. Risk-Sensitive Reinforcement Learning for Portfolio Optimization Under Stochastic Market Dynamics
    Mathematics, 2026
  4. Robotics in Smart Cities: A Pathway to Sustainable Business Development
    Artifcial Intelligence Powered Sustainable Development of Business 4 0, 2026
  5. Integrating Deep Learning and Machine Learning Approaches for Improved Accuracy in Skin Disease Detection
    2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2025, 2025

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