Associate Professor , SRM University AP Andhra Pradesh , India
Dr. Tousif Khan Nizami is an Associate Professor and Head of the Department of Electrical and Electronics Engineering at SRM University AP, Guntur, India. With a strong academic background, he has been a dedicated researcher and educator in the field of power electronics and control systems for over a decade. Dr. Nizami earned his Ph.D. in Control Engineering from the Indian Institute of Technology (IIT) Guwahati, where his research focused on the design and implementation of adaptive control techniques for DC-DC converters. His work has contributed significantly to the advancement of adaptive control systems, optimization techniques, and power electronics. Dr. Nizami has a rich publication record in international journals and conferences, and he actively contributes to the academic community through his editorial and reviewing roles. He has received several prestigious awards, including the Young Researcher Award in 2022 and the INAE Engineering Teachers Fellowship in 2021.
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Strengths for the Award
- Cutting-edge Research and Innovation
Dr. Nizami’s work is deeply embedded in cutting-edge adaptive control techniques for power converters. His research on adaptive backstepping control and neural network integration for DC-DC converters showcases a sophisticated blend of control theory and practical engineering. The incorporation of neural networks and advanced control strategies into power electronics is highly relevant for modern applications, especially in renewable energy, electric vehicles, and industrial automation.
- High Impact Publications
His publication record is impressive, with high-quality papers published in renowned journals such as the Journal of the Franklin Institute, IEEE Transactions on Industrial Electronics, IET Power Electronics, and Control Engineering Practice. These publications have a significant impact in the fields of power electronics and control engineering, as evidenced by the number of citations his work has received.
- Diverse Research Topics
Dr. Nizami has covered a wide range of topics within his core areas, such as:
- Adaptive control techniques (e.g., backstepping, neuro-adaptive control).
- Implementation of intelligent control strategies using neural networks.
- Real-time applications and experimental validations of control techniques.
- Solutions for system uncertainties, actuator failure compensation, and performance enhancement for power converters.
This breadth of topics not only demonstrates his deep expertise but also his versatility in addressing various challenges in power electronics.
- Experimental Validation and Real-Time Applications
A key strength of Dr. Nizami’s research is his focus on experimental validation. Many of his papers provide experimental results to back up theoretical models, making his research highly practical and applicable in real-world systems. This is an important factor when evaluating the relevance and impact of his research.
- Recognition and Awards
Dr. Nizami has been recognized with prestigious awards such as the Young Researcher Award by STEM Society, India, the INAE Engineering Teachers Fellowship, and the APJ Abdul Kalam Memorial Award. These accolades reflect his standing as a respected researcher in the field.
- Editorial and Peer-Review Roles
Dr. Nizami’s engagement in peer review and editorial work, including as a reviewer for top journals like IEEE Transactions on Power Electronics and IET Power Electronics, indicates his deep involvement in the academic community and his reputation as an expert in the field.
- Academic Leadership and Mentorship
As Head of the Department of Electrical and Electronics Engineering at SRM University AP, Dr. Nizami demonstrates strong leadership and mentoring skills, which are essential qualities for a leading researcher. His role in guiding Ph.D. students and junior faculty further enhances his suitability for the award.
Areas for Improvement
- Expansion into Newer Emerging Areas
While Dr. Nizami’s work on adaptive control and power converters is highly relevant, an expansion into emerging areas such as quantum control, machine learning for power electronics, or IoT integration for smart grids could further solidify his position at the forefront of technological advancements.
- Collaborations with Industry
Although his work is highly academic, increasing collaborations with industry players could help translate his research into more commercially viable solutions. Exploring industrial partnerships or starting technology transfer initiatives could bridge the gap between academic research and real-world applications.
- Interdisciplinary Research
While his research primarily focuses on control engineering and power electronics, exploring interdisciplinary domains such as cyber-physical systems or artificial intelligence in the context of power systems could open new avenues for his research, addressing future global challenges like sustainable energy management.
Education
Dr. Tousif Khan Nizami completed his Ph.D. in Control Engineering from the Indian Institute of Technology (IIT) Guwahati in 2017, under the supervision of Prof. Chitralekha Mahanta. His thesis focused on the design and implementation of online estimation-based backstepping controllers for DC-DC buck converters. Dr. Nizami also holds a Master’s degree in Power Electronics (M.Tech) from the National Institute of Technology (NIT) Trichy, where his research involved designing feedback controllers for buck converters using Queen Bee Assisted Genetic Algorithms and Artificial Immune System Algorithms. He earned his B.E. in Electrical and Electronics Engineering from Visvesvaraya Technological University, Belgaum, in 2008. With these academic foundations, he has become an expert in adaptive control systems and power electronics, specializing in DC-DC converters and optimization techniques.
Experience
Dr. Tousif Khan Nizami has over a decade of teaching and research experience. He is currently serving as the Head of the Department & Associate Professor in the Department of Electrical and Electronics Engineering at SRM University AP, Guntur, India (since 2022). Before that, he was an Assistant Professor and Head of the Department (2017-2022) at the same university. Earlier in his career, he worked as a Lecturer at Dayananda Sagar College of Engineering, Bangalore (2010). His academic leadership has been pivotal in shaping the department’s research direction and fostering collaborations in power electronics, control systems, and optimization. Throughout his career, Dr. Nizami has actively participated in curriculum development, student mentorship, and research supervision. He has guided several Ph.D. and M.Tech students in the fields of control systems, power electronics, and adaptive control, strengthening his contributions to both academia and industry.
Awards and Honors
Dr. Tousif Khan Nizami has received numerous awards and honors throughout his career. He was awarded the Young Researcher Award by the STEM Society, India, in 2022 for his significant contributions to research in adaptive control and power electronics. In 2021, he received the prestigious INAE Engineering Teachers Fellowship, recognizing his exceptional teaching and research in electrical engineering. Dr. Nizami was also honored with the APJ Abdul Kalam Memorial Award (2020) by ACDOS NMO IFAC for his outstanding research in the field of control engineering. He has been a delegate of the Indian Government Youth Delegation to China in 2015 and has received several travel grants from prominent organizations, including the Department of Science and Technology (DST), IEEE Industrial Applications Society, and Council of Scientific and Industrial Research (CSIR), to attend international conferences in the USA, France, and Dubai. He also received the Maulana Azad National Ph.D. Fellowship in 2014.
Research Focus
Dr. Tousif Khan Nizami’s research focuses on power electronics, adaptive control, and optimization techniques. Specifically, his work addresses advanced adaptive control strategies for DC-DC converters and their applications in power management systems. His research aims to improve the performance, stability, and efficiency of power converters, particularly in the context of renewable energy systems and electric vehicles. Dr. Nizami’s interest lies in the design and implementation of backstepping controllers, neuro-adaptive control schemes, and neural network-based optimization for power converters. He explores novel optimization algorithms, including Genetic Algorithms and Artificial Immune Systems, to enhance the dynamic performance of systems under uncertainties and disturbances. Additionally, he works on fault-tolerant control systems to ensure robust operation in real-time applications. His research is at the intersection of theoretical control engineering and practical applications, with a focus on solving real-world challenges in electrical and electronics systems.
Publications
- An intelligent adaptive control of DC–DC buck converters 📰
- Design and implementation of a neuro-adaptive backstepping controller for buck converter fed PMDC-motor 🧠
- Analysis and experimental investigation into a finite time current observer-based adaptive backstepping control of buck converters 🔬
- Adaptive backstepping control for DC-DC buck converters using Chebyshev neural network 📚
- Enhanced dynamic performance in DC–DC converter‐PMDC motor combination through an intelligent non‐linear adaptive control scheme ⚡
- Neural network integrated adaptive backstepping control of DC-DC boost converter 🤖
- Time bound online uncertainty estimation based adaptive control design for DC–DC buck converters with experimental validation ⏱️
- Legendre neural network-based intelligent control of DC-DC step-down converter-PMDC motor combination 🔌
- A fast learning neuro adaptive control of Buck converter driven PMDC motor: design, analysis, and validation ⚙️
- Adaptive neural network control of DC–DC power converter 🌐
- Adaptive compensation of actuator failures using multiple models ⚠️
- Real-time implementation of an adaptive backstepping control of buck converter PMDC-motor combinations 🛠️
- Voltage regulation enhancement in a Buck type DC-DC converter using queen bee evolution-based Genetic Algorithm 🐝
- Hybrid backstepping control for DC–DC buck converters 🧩
- Variation of Electrical Characteristics of EMI Shielding Materials Coated with Ceramic Microspheres 🌐
- An efficient soft-switched LED driver for street lighting applications with input regulation 💡
- Relay approach for parameter extraction of Li-ion battery and SOC estimation using finite time observer 🔋
- Soft-switched full-bridge converter for LED lighting applications with reduced switch current 💡
- Single Layer Type II Chebyshev Neural Network Based Adaptive Backstepping Control of DC-DC Buck Converter 🧠
Conclusion
In conclusion, Dr. Tousif Khan Nizami stands out as a highly deserving candidate for the Best Researcher Award due to his significant contributions to the field of control engineering, particularly in power electronics. His research on adaptive control techniques for DC-DC converters, his high-quality publications, and his practical impact through experimental validations set him apart as an expert. His awards, leadership roles, and editorial contributions further underscore his reputation in the academic community. While there are always opportunities for growth, particularly in expanding the scope of his research into emerging fields, his accomplishments and ongoing contributions make him a strong contender for the award.