Sumit Swain | Nanotechnology | Excellence in Research Award

Assist. Prof. Dr. Sumit Swain | Nanotechnology | Excellence in Research Award

Dayanandasagar College of Engineering | India

Dr. Sumit Swain is an emerging researcher in the field of Fractional-Order Circuits and Systems, with a specialized focus on modeling, design, experimentation, and implementation of fractional-order elements. His research spans across interdisciplinary areas including analog signal processing, bioimpedance analysis, wireless power transfer systems, biomedical instrumentation, and sensor design. He has been actively engaged in both theoretical and experimental studies on fractional inductors and capacitors, aiming to enhance the performance and efficiency of modern analog and mixed-signal systems. Dr. Swain earned his Doctor of Philosophy (Ph.D.) in 2025 from the School of Electronic Sciences, Odisha University of Technology and Research (OUTR), Bhubaneswar, India, under the guidance of Dr. Madhab Chandra Tripathy and Dr. Sribatsa Behera. His doctoral thesis, “Performance Improvement of Circuits and Systems Through Design and Analysis of Fractional-Order Elements,” presents innovative approaches to circuit optimization using fractional-order modeling principles. He also holds a Master of Technology (M.Tech.) in Electronics and Instrumentation Engineering from the same institution (2020), where his work on fractional-order filters and FOPID controllers laid the foundation for his subsequent research contributions. His Bachelor of Technology (B.Tech.) in Applied Electronics and Instrumentation was completed at C.V. Raman College of Engineering, Bhubaneswar, in 2018. With an impressive publication record of over 25 research papers, including 11 papers in SCIE and Scopus-indexed journals, 16 conference papers, and several manuscripts under review in reputed journals such as IEEE Transactions on Power Electronics and Circuits, Systems and Signal Processing, Dr. Swain has established himself as a dynamic researcher in electronic sciences. His works have collectively attracted 199 citations and an h-index of 10, reflecting his growing academic impact. His publications appear in high-quality international journals such as Computers in Biology and Medicine (Elsevier), Journal of Food Engineering (Elsevier), Nanoscale Advances (RSC), IETE Journal of Research (Taylor & Francis), Sādhanā (Springer), and AEU–International Journal of Electronics and Communications (Elsevier). His contributions include the realization of fractional-order inductors and capacitors, switched-capacitor-based filter designs, and fractional-order amplifiers, as well as innovative studies on bioimpedance modeling for analyzing the ripening and moisture content of fruits and vegetables. Dr. Swain’s excellence has been recognized with multiple honors, including the Young Scientist Award (2022) and the Best Researcher Award (2021) from the International Research Awards on Science, Health, and Engineering (“World Research Awards (WRA)”), alongside Best Paper Awards at several IEEE international conferences. He has also delivered. Dr. Sumit Swain’s research integrates fractional calculus, sensor technology, and circuit innovation to push the boundaries of analog and biomedical electronics. His consistent publication output, recognized academic contributions, and commitment to advancing sustainable and intelligent circuit systems mark him as one of the promising young researchers in the field of electronic sciences.

Profiles: Scopus | Orcid

Featured Publications

Swain, S., Tripathy, M. C., Bhuyan, K. C., & Behera, S. (2025). Wide-band fractional-order filter design using coaxial TEM fractional-inductor. Next Research, 2(2), 100395.

Swain, S., Swain, S., Panda, B., & Tripathy, M. C. (2025). Modeling and optimal analysis of lung cancer cell growth and apoptosis with fractional-order dynamics. Computers in Biology and Medicine, 188, 109837.

Nayak, B., Swain, S., & Tripathy, M. C. (2025). Fractional order bioimpedance modeling for sensing fruit properties. Journal of Food Engineering, 397, 112594. https://doi.org/10.1016/j.jfoodeng.2025.112594

Swain, S., Tripathy, M. C., Behera, S., & Dastidar, A. (2025). Experimental analysis of ripening stages and moisture content of lemon using fractional-order bio-impedance modelling. IETE Journal of Research.

Sahoo, A., Acharya, A., Jena, P., Moonis, M., Biswal, J. P., Swain, S., & Tripathy, M. C. (2025). Zirconium ferrite nanoparticles as smart materials for energy and environmental applications: Fractional-order supercapacitors, reservoirs of F− ions, and efficient electrocatalysts for water splitting. Nanoscale Advances, 7(1), 1–12.

Swain, S., Tripathy, M. C., Sahoo, A., Acharya, A. N., & Behera, S. (2024). Implementation of a fractional-inductor (α < 0.5) and its performance study in a high-frequency LαR integrator circuit. AEU–International Journal of Electronics and Communications, 167, 155114.

Swain, S., Dash, S., & Tripathy, M. C. (2024). FOPID-based feed-forward temperature control of a 100°C thermal reservoir. In Proceedings of the 1st International Conference on Software, Systems and Information Technology (SSITCON 2024) (pp. 1–5).

Swain, S., Swami, S. D., Tripathy, M. C., & Behera, S. (2024). Performance exploration and tunability of a high-frequency fractional-order clock oscillator. In Proceedings of the IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE 2024) (pp. 1–6).

Soujanya Reddy Annapareddy | Engineering | Women Researcher Award

Mrs. Soujanyareddy Annapareddy | Engineering | Women Researcher Award

TAE Power Solutions | United States

Mrs. Soujanya Reddy Annapareddy is a seasoned Firmware Automation and Software Test Engineer with over 7.5 years of professional experience in embedded systems testing, automation frameworks, and data-driven validation methodologies. Her research and professional interests lie at the intersection of firmware validation, automation engineering, and intelligent system testing, focusing on how advanced test automation techniques enhance the performance, reliability, and scalability of embedded and IoT systems. At TAE Power Solutions, she has contributed to the automation and validation of Battery Energy Storage System (BESS) control platforms, integrating hardware-in-the-loop (HIL) environments and open-source frameworks such as PyTest, pandas, and matplotlib to improve regression coverage and testing efficiency. Her work explores the application of data analytics, fault-injection methods, and CI/CD pipeline integration in firmware testing to ensure real-world performance and fault tolerance. Her prior experience at Google Inc. involved automation testing for Android devices, wearable technologies, and data center systems, where she developed automation scripts in Python, Go, and C++, applied object-oriented design principles, and leveraged tools such as Mobly, Blueberry, and Buganizer for large-scale system validation. Soujanya’s analytical research focuses on automated testing frameworks, system-level reliability modeling, and signal strength optimization in wireless and connectivity domains. Methodologically, she employs Python-based automation, statistical analysis, and cloud-integrated validation frameworks, with hands-on experience in Linux environments, GCP cloud infrastructure, and RF system automation. Her interdisciplinary expertise bridges firmware engineering, test analytics, and computer science, offering insights into how automation accelerates innovation in embedded systems. Soujanya holds a Master of Science in Computer Technology from Eastern Illinois University and a Bachelor of Technology in Electronics and Communication Engineering from Jawaharlal Nehru Technological University Hyderabad (JNTUH), where she graduated with distinction. Her academic projects and industrial research underscore her commitment to advancing intelligent automation, embedded testing, and data-driven system optimization in modern technology ecosystems.

Profile: Google Scholar

Featured Publications

Annapareddy, S. R. (2025). Edge AI for real-time fault detection in embedded systems. International Journal of Emerging Trends in Computer Science and Information Systems.

Annapareddy, S. R. (2024). Managing power flows and energy efficiency in embedded systems for BESS. IJAIDR – Journal of Advances in Developmental Research, 15(2), 1–5.

Annapareddy, S. R. (2024). Advanced fault detection and diagnostics in embedded control units for BESS. IJSAT – International Journal on Science and Technology, 15(4).

Annapareddy, S. R. (2024). Firmware architecture and safety standards in battery energy storage systems. International Journal of Innovative Research in Engineering.

Annapareddy, S. R. (2024). Optimizing Android device testing with automation frameworks. International Journal of Innovative Research and Creative Technology, 10(4), 1–7.

Annapareddy, S. R. (2024). Real-world applications of Python in firmware and software automation. International Journal of Innovative Research and Creative Technology, 10(2), 1–6.

Annapareddy, S. R. (2024). Advancements in firmware testing and validation techniques. ESP Journal of Engineering & Technology Advancements, 4(3).