Subhas Mukhopadhyay | Internet of Things | Best Researcher Award

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Prof. Dr. Subhas Mukhopadhyay | Internet of Things | Best Researcher Award 

Prof. Dr. Subhas Mukhopadhyay | Macquarie University | Australia

Prof. Dr. Subhas Mukhopadhyay of globally recognized researcher in smart sensors, wireless sensor networks, Internet of Things (IoT), mechatronics, and intelligent instrumentation systems, with over 18,376 citations, 694 publications, and an h-index of 70. His research encompasses the design, modeling, and implementation of sensor-based systems for environmental, healthcare, and industrial applications. He leads cutting-edge projects including ant-inspired swarm robotics for cooperative transport, drone architectures for mid-air item transfers, AI-enabled surgical systems for live tumor detection, and IoT-enabled intelligent sensing for smart cities and agriculture. His innovations also extend to wearable e-skin force sensors, nitrate detection for groundwater monitoring, and low-cost molecularly imprinted polymer MEMS sensors for point-of-care diagnostics. A prolific mentor, he supervises numerous doctoral, master’s, and undergraduate projects, advancing interdisciplinary research at the intersection of electronics, AI, and mechatronics. A Fellow of IEEE, IET, and IETE, Prof. Mukhopadhyay is acclaimed for his extensive contributions to sensor technology, robotics, and intelligent systems, earning multiple international awards and recognition for his editorial and research excellence.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Gooneratne, C. P., Mukhopadhyay, S. C., Li, B., Zhan, G., Magana-Mora, A., & Moellindick, T. E. (Patent No. US11639647B2). SELF-POWERED ACTIVE VIBRATION AND ROTATIONAL SPEED SENSORS. Publication No. US20220034174A1.

Gooneratne, C. P., Mukhopadhyay, S. C., Li, B., Zhan, G., Magana-Mora, A., & Moellindick, T. E. (Patent No. US11557985B2). PIEZOELECTRIC AND MAGNETOSTRICTIVE ENERGY HARVESTING WITH PIPE-IN-PIPE STRUCTURE. Publication No. US20220034173A1.

Gooneratne, C. P., Mukhopadhyay, S. C., Li, B., Zhan, G., Magana-Mora, A., & Moellindick, T. E. (Patent No. US11480018B2). SELF-POWERED SENSORS FOR DETECTING DOWNHOLE PARAMETERS. Publication No. US20220034174A1.

Gooneratne, C. P., Mukhopadhyay, S. C., Li, B., Zhan, G., Magana-Mora, A., & Moellindick, T. E. (Patent No. US11421513B2). TRIBOELECTRIC ENERGY HARVESTING WITH PIPE-IN-PIPE STRUCTURE. Publication No. US20220038031A1.

Gooneratne, C. P., Mukhopadhyay, S. C., Li, B., Zhan, G., Magana-Mora, A., & Moellindick, T. E. (Patent No. US11428075B2). SYSTEM AND METHOD OF DISTRIBUTED SENSING IN DOWNHOLE DRILLING ENVIRONMENTS. Publication No. US20220034198A1.

Amin Nazari | Internet of Things | Best Researcher Award

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Mr. Amin Nazari | Internet of Things | Best Researcher Award

Ph.D. Candidate, Bu-Ali Sina University, Iran

Mr. Amin Nazari is a highly accomplished researcher and final-year Ph.D. candidate in Artificial Intelligence at Bu-Ali Sina University, specializing in the Internet of Things (IoT), intelligent networks, graph neural networks and recommender systems. He holds an M.Sc. in Computer Engineering from Arak University (2014) and a B.Sc. in Computer Engineering from Islamic Azad University of Hamedan (2012), with theses focused on energy-aware routing and wireless sensor networks. With over five years of academic and research experience, Mr. Amin Nazari has authored 15 peer-reviewed publications in reputed Q1/Q2 journals and conferences (Elsevier, Springer, IEEE, Wiley), achieving 238 citations, 15 Scopus-indexed documents and an h-index of 8. His professional engagements include teaching courses in data mining, software engineering, programming and database design at Bu-Ali Sina University and Technical and Vocational University. His research interests span IoT and SDN-based intelligent networks, multimodal deep learning for financial forecasting and natural language processing for information retrieval, with practical projects such as decentralized orchestration systems, cryptocurrency forecasting models and AI-driven recommender platforms in collaboration with industry partners. He possesses strong technical skills in Python, MATLAB, Java, C++ and R, with expertise in advanced AI/ML frameworks including PyTorch, TensorFlow and Scikit-learn. Mr. Amin Nazari has received multiple recognitions, notably Top Researcher of Hamadan Province (2023, 2024) and Top Student of Bu-Ali Sina University (2023, 2024), alongside professional certifications from Coursera and Stanford. With a proven record of impactful publications, academic leadership and industry collaboration, he is strongly positioned to make significant future contributions to AI and IoT research at both national and international levels.

Profile: Scopus | ORCID | Google Scholar

Featured Publications

Javanmardi, S., Shojafar, M., Mohammadi, R., Nazari, A., Persico, V., & … (2021). FUPE: A security driven task scheduling approach for SDN-based IoT–Fog networks. Journal of Information Security and Applications, 60, 102853.

Samadi, R., Nazari, A., & Seitz, J. (2023). Intelligent energy-aware routing protocol in mobile IoT networks based on SDN. IEEE Transactions on Green Communications and Networking, 7(4), 2093–2103.

Khaledian, N., Nazari, A., Khamforoosh, K., Abualigah, L., & Javaheri, D. (2023). TrustDL: Use of trust-based dictionary learning to facilitate recommendation in social networks. Expert Systems with Applications, 228, 120487.

Mohammadi, R., Nazari, A., Nassiri, M., & Conti, M. (2021). An SDN-based framework for QoS routing in internet of underwater things. Telecommunication Systems, 78(2), 253–266.

Akraminejad, R., Khaledian, N., Nazari, A., & Voelp, M. (2024). A multi-objective crow search algorithm for optimizing makespan and costs in scientific cloud workflows (CSAMOMC). Computing, 106(6), 1777–1793.