Assistant Professor at Sasi Institute of Technology and Engineering, India
Dr. Bala Bhaskar Duddeti currently serves as a Research Assistant Professor in the Department of Electrical and Electronics Engineering at Sasi Institute of Technology and Engineering, Tadepalligudem. With over a decade of academic and research experience, his core expertise lies in control systems, model order reduction, and intelligent control strategies for electric vehicles and power systems. Throughout his career, Dr. Duddeti has remained committed to bridging the gap between theoretical advancements and their industrial applications, specifically focusing on simplifying complex dynamic systems for effective control implementation.
Profile
Scholar
Educational Background
Dr. Duddeti holds a Doctorate in Electrical Engineering with a specialization in control systems from the National Institute of Technology, Rourkela, where he focused on “Model Order Reduction Methods: Improvements and Applications.” Prior to this, he completed his Master of Engineering in Electrical Engineering (Control Systems) from Andhra University with a high distinction, and earned his Bachelor of Technology degree from RVR & JC College of Engineering. His academic journey reflects a steady commitment to mastering advanced control and modeling techniques in electrical engineering.
Professional Experience
Dr. Duddeti began his academic career as an Assistant Professor at Gayatri Vidya Parishad College of Engineering (2011–2019), where he taught courses such as control systems, DSP, and network analysis, and held key responsibilities like being a member of the Board of Studies and the NBA accreditation committee. He later pursued his doctoral research at NIT Rourkela from 2019 to 2024, during which he developed reduced-order modeling strategies for complex systems relevant to electric vehicles and renewable energy. In June 2024, he joined Sasi Institute of Technology and Engineering as a Research Assistant Professor, focusing on research-led teaching and interdisciplinary collaboration.
Research Interests
Dr. Duddeti’s primary research interests include model order reduction of large-scale systems, artificial intelligence-based control strategies for power electronics, fractional order system approximation, electric vehicle modeling, and reduced controller design. His work finds applications in simplifying complex system dynamics, improving simulation efficiency, and enabling effective controller synthesis, particularly in power systems, renewable energy grids, and automotive systems.
Awards and Recognition
Dr. Duddeti has received numerous accolades in recognition of his scholarly contributions. Notably, he was awarded the prestigious “BRST Research Scholar” title by the Nature Science Foundation for the academic year 2024–2025. He is a lifetime member of reputed international research bodies such as IAENG and ISRD. Additionally, he has been honored with MHRD scholarships for both his master’s and doctoral studies and has served as a peer reviewer for esteemed journals like IEEE Access, Scientific Reports, ISA Transactions, and Springer journals, affirming his reputation as a subject matter expert in his domain.
Select Publications
Among his extensive list of scientific contributions, the following seven represent key milestones in his research:
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Duddeti, B.B., Naskar, A.K. (2025). Improved Method for Order Reduction in Practical LTI Systems and PID Controller Architecture, Circuits Syst Signal Process. (Accepted) — cited for its optimization of control system design.
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Duddeti, B.B., Naskar, A.K., Meena, V.P. (2025). Constrained search space selection based optimization approach, Scientific Reports, 15, 7999 — cited for advancing power system approximation techniques.
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Duddeti, B.B. (2025). A New Modified Clustering Technique for Order Reduction, Circuits Syst Signal Process, 44, 3027–3067 — recognized for its novel reduction algorithms.
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Duddeti, B.B. (2024). Model Order Reduction Strategy for LTI Systems, Circuits Syst Signal Process — acknowledged for bridging theory and controller design.
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Duddeti, B. B., Naskar, A. K. (2024). Model reduction for large-scale dynamical systems, Sādhanā, Springer, 49(164) — cited for industrial relevance.
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Duddeti, B. B., Subhashini, K.R. (2023). Balanced truncation and PSO for order reduction, Circuits Syst Signal Process, 42, 4506–4552 — significant for integrating metaheuristics.
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Duddeti, B.B. (2023). Fractional Order Systems Using Balanced Truncation, Circuits Syst Signal Process, 42, 5893–5923 — widely referenced for its contribution to fractional control.
Each of these works has received citations from fellow researchers, indicating the value and impact of Dr. Duddeti’s contributions in the global research community.
Conclusion
Dr. Bala Bhaskar Duddeti exemplifies academic excellence and impactful research through his pioneering work in control systems and model order reduction. His continuous contributions to scholarly literature, dedication to teaching, and active role in collaborative research make him a fitting nominee for a prestigious academic award. With a clear vision to enhance system efficiency in real-world applications and a strong foundation in theoretical development, Dr. Duddeti is not only a deserving candidate for this award but also a leading figure contributing to the future of intelligent control and automation technologies.