Dr. Arvind Panwar
Galgotias University, Guru Gobind Singh Indraprastha University University School of Information & Communication Technology
0000-0001-9957-6365
About
Dr. Arvind Panwar is a distinguished researcher and academician with over 15 years of experience in Computer Science and Engineering. He earned his Ph.D. from Guru Gobind Singh Indraprastha University, where his doctoral research focused on designing a secure cloud-based blockchain framework for health record management. His areas of expertise include blockchain technology, artificial intelligence, machine learning, information security, cybersecurity, and data analytics, and he has been actively contributing to advancing these fields through research, publications, and innovation. Over the course of his academic career, Dr. Panwar has authored 35 SCI/Scopus-indexed journal articles, 31 conference papers, and 31 book chapters, and has served as editor for 15 international edited books published by leading academic publishers including Elsevier, CRC Press, Wiley, and De Gruyter. He also holds multiple granted patents in AI, IoT, and blockchain domains and actively contributes to interdisciplinary research collaborations and mentoring of graduate researchers, leading interdisciplinary projects, and fostering international collaborations, including his role as a visiting professor at South Kazakhstan Pedagogical University. Through his extensive research output, innovative ideas, and leadership in emerging technologies, he has established himself as a recognized figure in bridging academic research with industry-driven applications.
Employment
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Galgotias University Associate Professor2024 - Present
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Galgotias University Assistant Professor2023 - Present
Education
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Guru Gobind Singh Indraprastha University University School of Information & Communication Technology Ph.D2016 - 2022
Projects & Funding
Projects & funding information is unavailable.
Publications (130)
- A Unified Framework for Trustworthy and Explainable Edge AI (TE2AI) Save
- Edge AI in Smart Cities Save
- Image-Based Malware Classification Using DCGAN-Augmented Data and a CNN–Transformer Hybrid Model Save
- Drone Swarm Coordination and Control Mechanisms Save
- Privacy-Preserving Techniques for Drone Surveillance Systems Save
- A Conceptual Framework for Integrating Quantum Computing in Last-Mile Delivery Optimization Save
- A Hybrid Swarm Intelligence and Deep Learning Framework for Energy-Efficient Routing in Wireless Sensor Networks Save
- A hybrid SMOTE and Gaussian mixture model based optimized XGBoost framework for bipolar disorder detection Save
- A robust stacked ensemble strategy with multi-optimizer CNN models for skin cancer classification Save
- Adaptive Hybrid AI Framework for Robust and Explainable Skin Lesion Segmentation and Melanoma Detection Save