Dynamic academician and researcher specializing in AI, IoT, Machine Learning, and Intelligent Traffic Management. Holding multiple patents, 40+ publications, and recognized globally for cutting-edge contributions to smart systems and cybersecurity.
I am a dynamic and accomplished Assistant Professor in Computer Science and Engineering with extensive teaching, research, and mentoring experience. Currently serving at Presidency University, Bengaluru, and simultaneously pursuing Post-Doctoral research at Lincoln University College, Malaysia.
My research focuses on Federated Graph Intelligence (FGI) for real-time urban safety — building privacy-preserving, explainable AI systems for smart city resilience. I integrate federated learning, graph neural networks, and XAI to address data privacy, scalability, and decision transparency challenges.
I am also an Adjunct Research Associate at Symbiosis University, Pune — contributing to collaborative research in emerging technology domains. A prolific contributor holding multiple patents and publications addressing intelligent traffic management, cybersecurity, and smart agriculture.
Ph.D. in Computer Science & Engineering from Desh Bhagat University with thesis on Intelligent Traffic Management Systems using AI, V2X, and sensor integration.
40+ peer-reviewed publications in Q1/SCIE journals (Springer, Elsevier, IEEE, MDPI) plus 11 patents filed/published with the Indian Patent Office.
Indexed in Scopus, Web of Science, and Google Scholar. Guest Editor for PLOS ONE (Q1/SCIE) and Editorial Board Member of multiple international journals.
Author of 3 books (poetry and AI), editor of 7 volumes, and contributor to 10 book chapters published by Springer, Wiley, Taylor & Francis, and IGI Global.
A strong academic foundation from premier Indian universities, culminating in a doctoral degree with research at the intersection of AI and intelligent systems.
A rich career spanning academia, research, and industry — delivering excellence in teaching, mentoring, and innovation.
Spanning the frontiers of intelligent systems, privacy-preserving AI, and real-world societal impact.
ITMS with AI, V2X communication, LiDAR, IoT integration, and dynamic green corridors for emergency vehicle prioritization.
Deep learning, reinforcement learning, fuzzy sets, CNNs, graph neural networks, and AI-driven decision support systems.
IoT-based smart agriculture, precision farming, crop health monitoring, and IoMT cybersecurity solutions.
DDoS mitigation, XSS detection via ML, homomorphic encryption, quantum cryptography, and blockchain-based security.
Federated Graph Intelligence (FGI) for urban safety, spatio-temporal modeling, real-time incident detection and response.
Cancer prediction, skin disease detection, medical image analysis, EEG-based neuropsychiatric classification, and epidemic surveillance.
Privacy-preserving federated learning, explainable AI frameworks, trustworthy AI for large-scale data-driven ecosystems.
Smart irrigation, disease detection, CNN-based crop classification, and IoT frameworks for sustainable farming yield.
Post-quantum cryptography, quantum-resistant algorithms, quantum key distribution, and future cryptosystem evolution.
40+ peer-reviewed publications in top-tier indexed journals and international conferences, contributing to AI, IoT, cybersecurity, and smart systems.
Published author and editor with books released by Springer, Wiley, Taylor & Francis, IGI Global, Bentham Science, and CRC Press.
ISBN: 978-1639042401
ISBN: 978-1684948550
ISBN: 979-8873841530
pp. 79–100 · DOI: 10.2174/9798898813963126010007
Post-Quantum Frontiers: Securing the Next Digital Age · Taylor & Francis (Scopus & WoS indexed)
Post-Quantum Frontiers · Taylor & Francis (Scopus & WoS indexed)
Advancing Cyber Security Through Quantum Cryptography · IGI Global Scientific Publishing (Scopus indexed)
Applications of Green IoT and AI in Sustainable Smart Cities · Taylor & Francis · DOI: 10.1201/9781003605522-12
Reimagining Ophthalmology: Integrating Generative AI · Wiley (Scopus indexed)
Brain to Computer Interfaces using ML and DL · Scrivener Publishing (Scopus indexed)
Explainable AI-Based Business Decision Support Systems · Wiley (Scopus indexed)
AI-Driven Healthcare through Bioinformatics Innovations · Bentham Science (Scopus indexed)
Wiley (Scopus indexed)
Bentham Science (Scopus indexed) — Under Publishing & Rights
Bentham Science (Scopus indexed) — Under Process
Bentham Science (Scopus indexed) — Under Process
CRC Press – Taylor & Francis (Scopus indexed) — Under Process
Bentham Science (Scopus indexed) — Under Process
Bentham Science (Scopus indexed) — Under Process
Quillip Publications
11 patents filed/published with the Indian Patent Office spanning intelligent systems, IoT, blockchain, and autonomous technologies.
A broad technical toolkit spanning data analysis, simulation software, programming, and cutting-edge online certifications.
Active contributor to the academic community as Guest Editor, Editorial Board Member, and Peer Reviewer for prestigious international journals and conferences.
Q1 and SCIE Open Access Journal · Handling manuscript submissions and peer review coordination in areas of AI, data science, and computer science.
American Journal of Robotics and Intelligent Systems, Science Publishing Group · Contributing to editorial decisions and journal quality.
Asia Pacific Science Press (APSP) · Providing expertise in review and editorial processes for interdisciplinary computer science submissions.
Ms. Monika Devi (Ph.D. Scholar) · Department of CSE, Chandigarh University, Mohali, India — Actively mentoring and guiding doctoral research.
Recognized conference leader serving as Session Chair at prestigious international conferences across India and the UK.
12 Faculty Development Programs attended across India's top institutes, covering AI, quantum computing, cybersecurity, and scholarly writing.
Open for research collaborations, speaking engagements, and academic partnerships globally.
Presidency School of CSE
Presidency University, Bengaluru, India – 560064
Access the complete academic curriculum vitae of Dr. Hashmat Fida including all publications, patents, editorial roles, certifications, and research contributions.
Download CV (PDF)Dr. Fida's research vision is centered on creating trustworthy, explainable, and privacy-preserving AI systems that address the complex challenges of modern smart cities, healthcare, and cybersecurity. The work uniquely bridges theoretical AI advances with real-world deployability — validated through collaboration with urban authorities and industry partners.