Mehrdad Esmaeilipour | Engineering | Best Innovator Award

Mr. Mehrdad Esmaeilipour | Engineering | Best Innovator Award

Engineer at Aria Plasma Gostar Pars, Iran

Author's Profile

Google Scholar

Summary

Dr. Mehrdad Esmaeilipour is a senior electronics engineer and technology innovator with extensive expertise in green technologies, intelligent systems, and sustainable engineering solutions. He currently serves as the Senior Electronics Engineer at Arya Plasma Gostar Pars Company (Plasma Systems) and CEO of Parsa Pardazesh Bushehr Sanat Company (PPBS Co.). Known for his entrepreneurial spirit and commitment to social impact, Dr. Esmaeilipour has made significant contributions to air and water purification technologies, AI-powered wearable devices, and education in electronics and robotics. His inventions and leadership in both academia and industry have garnered national and international recognition.

Educational Details

Dr. Esmaeilipour holds a degree in Electronics Engineering and has continually advanced his technical expertise through hands-on engineering, innovation, and international collaboration. He has authored multiple technical books and contributed significantly to journals and conferences, demonstrating mastery in control systems, AI integration, and photovoltaic systems.

Professional Experience

Dr. Esmaeilipour has over a decade of professional experience leading complex electronics projects. At Arya Plasma Gostar Pars Company, he has led the development and implementation of cutting-edge air purification and water filtration systems utilizing cold plasma technology. He has also managed smart control systems and sensor-based applications for the environmental and public health sectors. As the founder and CEO of PPBS Co., he has mentored young engineers, provided employment for students, and executed numerous tech infrastructure projects including cybersecurity systems and robotics development. Additionally, he plays a key voluntary role in the Robotics Team at Islamic Azad University, guiding students in sensor integration, PID control, and robotic prototyping.

Research Interests

Dr. Esmaeilipour’s research is deeply rooted in electronics innovation, green technology, smart health devices, and robotics. He is particularly focused on the application of AI in embedded systems, smart wearables (such as his patented smart bracelet for the visually impaired), environmental monitoring systems, and energy-efficient technologies such as photovoltaic and cold plasma systems for wastewater treatment. He also explores optimization methods in control systems and intelligent robotics.

Author Metrics

Dr. Esmaeilipour has authored and co-authored several scientific papers, with a growing presence in academic journals and conferences across the globe. His publications span journals like GJES and IJAR, covering topics from fuzzy logic controllers to AI-based data engineering. He has also published four books in English on topics ranging from photovoltaic systems and electrical safety to advanced circuit design.

Awards and Honors

Dr. Esmaeilipour has received numerous accolades and certifications, including international recognition from the World Technology Group (Germany) and INT UNIONS for his work in electronics and robotics. He has been featured in Persian Gulf media as a successful entrepreneur and inventor. His patents, including a smart bracelet and wastewater treatment system using cold plasma, highlight his innovative impact. Additionally, he holds multiple professional memberships and certifications in cybersecurity, solar technology, and HSE, affirming his commitment to continuous learning and professional excellence.

Publication Top Notes

1. Design, Construction and Performance Comparison of Fuzzy Logic Controller and PID Controller for Two-Wheel Balance Robot

Authors: M. Esmaeilipour, M.H. Zalzar
Journal: London Journal of Engineering Research, Vol. 25(1), pp. 51–68
Year: 2025
Summary:
This paper presents a comparative analysis between Fuzzy Logic and PID controllers for stabilizing a two-wheel self-balancing robot. The study demonstrates how fuzzy logic offers superior adaptability to nonlinear dynamics and external disturbances, making it suitable for robotics applications.

2. The Utilization of Artificial Intelligence Technologies in the Domain of Electronic Data Engineering

Author: M.H.Z. Mehrdad Esmaeilipour
Journal: International Journal of Advanced Research
Year: 2024
Summary:
This article explores the integration of AI techniques into electronic data systems, emphasizing improved efficiency in signal processing, automation, and predictive analytics. The study advocates for AI’s transformative role in next-generation smart electronic systems.

3. Advances and Challenges in Lithium-Ion Battery Technology

Author: M. Esmaeilipour
Conference: 2nd International Conference on Electrical, Mechanical, Information Technologies
Year: 2025
Summary:
This conference paper discusses recent innovations in lithium-ion battery design, energy density improvements, and challenges related to thermal stability and lifecycle management. It emphasizes sustainable solutions for extending battery longevity in electronic systems.

4. Design of an Optimal Proportional-Integral-Derivative Controller Utilizing AI Techniques for Brushless Direct Current Motor with Phase Shift

Author: M. Esmaeilipour
Year: 2025
Summary:
This work proposes an optimized AI-assisted PID controller for brushless DC motors to reduce phase lag and energy loss. The paper evaluates the controller’s performance in high-precision industrial applications, showing enhanced responsiveness and stability.

5. Advancements in Cold Plasma Technology for Electronic and Surface Sterilization Applications

Author: M. Esmaeilipour
Summary:
This publication highlights recent developments in cold plasma systems for electronic device sterilization and environmental decontamination. It explores the synergy of plasma technology with embedded control systems to provide efficient, chemical-free sterilization methods.

Conclusion

Dr. Mehrdad Esmaeilipour is highly suitable for the Best Innovator Award. His work exemplifies the spirit of innovation — combining engineering expertise with environmental and social impact. His unique blend of scientific inquiry, practical engineering, and entrepreneurial leadership positions him as a leading force in applied electronics and sustainable technology. With increased academic collaborations and strategic commercialization, his innovations have the potential to create transformative global change.

Xiaoxiao Huo | Electric Engineering | Best Researcher Award

Ms. Xiaoxiao Huo | Electric Engineering | Best Researcher Award

Xiaoxiao Huo at Xiamen University, China

Summary:

Ms. Xiaoxiao Huo is a promising researcher in the field of electrical engineering, currently pursuing her master’s degree at Xiamen University, China. With a strong foundation in power electronics and control theory, she has engaged in various research projects focused on optimizing energy systems and improving power conversion techniques. Ms. Huo is an award-winning student, recognized for her academic excellence and contributions to both research and engineering competitions. She has published several papers on advanced control strategies and holds patents in image recognition technologies for meter reading. Her diverse academic and practical experiences position her as a future leader in energy system optimization and power management.

Professional Profile:

👩‍🎓Education:

Ms. Xiaoxiao Huo is currently pursuing her M.Eng. in Electrical Engineering at Xiamen University (2022-2025, expected), where she maintains a GPA of 3.6/4.0. She is under the supervision of Dr. Po Li (Xiamen University) and Dr. Zhengmao Li (Aalto University). Her primary coursework includes modern control theory, advanced power electronics, and numerical analysis. She completed her B.Eng. in Electrical Engineering and Automation from South China Agricultural University (SCAU) in 2022 with an average score of 90.91/100. Her undergraduate studies focused on power electronics technology, power system analysis, and electrical machinery theory.

🏢 Professional Experience:

Throughout her academic journey, Ms. Huo has engaged in various research and professional roles. Currently, she is conducting research on multi-energy system planning and operation at Aalto University, where she is developing a planning and operation model for integrated energy systems. In addition, at Xiamen University, she is working on power conversion and energy management strategies for power systems, focusing on model predictive control and its applications. In 2022, Ms. Huo gained hands-on experience as an intern and research assistant at the Guangzhou Institute of Energy Testing, where she designed instrument verification methods using computer vision. She has also been an active volunteer with the Chinese Association of Automation (CAA) since 2021, contributing to academic promotion and conference organization. Her participation in robotics competitions, including the Robomaster visual team, further demonstrates her interest in AI and automation.

Research Interests:

Ms. Huo’s research interests lie in the areas of power electronics, control engineering, energy management, and hybrid energy storage systems. Her work focuses on model predictive control, model-free control, observer design, and hardware-in-the-loop (HIL) simulations. She has also contributed to projects involving grid-tied inverters, multi-energy systems, and the optimization of electric power conversion.

Author Metrics:

Ms. Huo has contributed to several significant publications in the fields of energy systems and power electronics. Some of her key works include:

  • Huo, X., & Li, P. (2024). Power Management and Control Strategy Based on Model-Free Control for Hybrid Energy Storage System. Accepted by 2024 9th International Conference on Power and Renewable Energy (ICPRE 2024).
  • Huo, X., & Li, P. Parameter-Free Ultralocal Model-Based Predictive Current Control for Three-Phase Four-Leg Inverters. Submitted to Electric Power Systems Research.
  • Zhang, Y., Huo, X., et al. (2023). Design of an Image Recognition Device for Electronic Water Meter Readings Based on Improved Threading Method. IEEE Chinese Automation Congress (CAC 2023).
  • She is also the co-author of two Chinese patents on image recognition methods for gas and water meter readings.

Top Noted Publication:

Simplified Finite Control Set Model Predictive Control for Single-Phase Grid-Tied Inverters with Twisted Parameters

  • Journal: Electric Power Systems Research
  • Publication Date: January 2025
  • DOI: 10.1016/j.epsr.2024.111063
  • Contributors: Po Li, Xiaoxiao Huo
  • Details: The paper discusses an advanced control method for single-phase grid-tied inverters with twisted parameters, focusing on reducing total harmonic distortion (THD).

Design of an Image Recognition Device for Electronic Water Meter Readings Based on Improved Threading Method

  • Conference: 2023 China Automation Congress (CAC)
  • Publication Date: November 17, 2023
  • DOI: 10.1109/cac59555.2023.10451216
  • Contributors: Yuanming Zhang, Qilun Lu, Xiaoxiao Huo, Yong Wan, Peng Tian
  • Details: This paper focuses on the design of a device utilizing image recognition technology for reading electronic water meters, improving accuracy through an enhanced threading method.

Total Harmonic Distortion Reduction Method of Improved Finite Control Set Model Predictive Control for Single-Phase Inverter with Twisted Parameter

  • Conference: 2023 5th International Conference on Power and Energy Technology (ICPET)
  • Publication Date: July 27, 2023
  • DOI: 10.1109/icpet59380.2023.10367520
  • Contributors: Po Li, Xiaoxiao Huo, Feng Guo
  • Details: This paper presents an improved control method for reducing THD in single-phase inverters with twisted parameters.

Multi-Sampling Rate Finite Control Set Model Predictive Control and Adaptive Method of Single-Phase Inverter

  • Journal: Electronics
  • Publication Date: June 27, 2023
  • DOI: 10.3390/electronics12132848
  • Contributors: Yunfeng She, Xiaoxiao Huo, Xiaoshan Tong, Chunjie Wang, Kunkun Fu
  • Details: The paper discusses multi-sampling rate model predictive control methods for single-phase inverters, including adaptive control to enhance performance.

Research on Quality Control Application of Whole Process Intelligent Manufacturing in Steel Industry 4.0 Based on Big Data Analysis

  • Journal: Journal of Network Intelligence
  • Publication Year: 2022
  • EID: 2-s2.0-85136270844
  • ISSN: 2414-8105
  • Contributors: Zhao, F., Yin, C., Huo, X., Xu, Y.
  • Details: This paper examines the application of big data analysis for quality control in Industry 4.0, focusing on intelligent manufacturing in the steel industry.

Ramana Reddy | Electronics Engineering | Most Cited Article Award

Dr. K.V. Ramana Reddy | Electronics Engineering | Most Cited Article Award

ASSOCIATE PROFESSOR at MALLA REDDY COLLEGE OF ENGINEERING AND TECHNOLOGY, INDIA

Summary:

Dr. K.V. Ramana Reddy is an accomplished academician and researcher with over 8 years of experience in the field of Electrical Engineering. Currently serving as an Associate Professor at Malla Reddy College of Engineering and Technology (Autonomous), his expertise spans power electronics, electric drives, and renewable energy systems. Dr. Reddy is known for his innovative approach to research, which includes exploring advanced technologies in smart grids and electric vehicles. He has previously held leadership roles, including serving as H.O.D., and has been actively involved in mentoring and guiding students through their academic journeys.

Professional Profile:

👩‍🎓Education:

Ph.D. in Electrical Engineering, VIT University, Vellore (2020)

  • Research Focus: Power Electronics and Electric Drives

M.Tech. in Power Electronics & Electric Drives (PE&ED), Jawaharlal Nehru Technological University Anantapur (JNTU-A), A.P. (2011)

  • Sri Venkateswara College of Engineering and Technology (SVCET), Chittoor
  • Grade: 81%

B.Tech. in Electrical and Electronics Engineering (E.E.E.), Jawaharlal Nehru Technological University Anantapur (JNTU-A), A.P. (2009)

  • Sri Mekapati Raja Mohan Reddy Institute of Technology & Science, Udayagiri
  • Grade: 79%

🏢 Professional Experience:

Associate Professor and IIC Coordinator, Malla Reddy College of Engineering and Technology (Autonomous), January 2023 – Present

Associate Professor, Sri Sai Rajeswari Institute of Technology, Proddatur, March 2022 – January 2023

Associate Professor, Sri Sairam College of Engineering, Bangalore, November 2020 – February 2022

Research Scholar, VIT University, Vellore, December 2016 – August 2020

Assistant Professor & H.O.D (Ratified by JNTU-A), Gouthami Institute of Technology & Management for Women, Proddatur, June 2011 – December 2016

Research Interests:

  • Power Electronics
  • Electric Drives
  • Renewable Energy Systems
  • Smart Grids
  • Electric Vehicle Technologies

Dr. K.V. Ramana Reddy’s research primarily focuses on power electronics, electric drives, and renewable energy systems. His work includes the integration of advanced technologies in smart grids and electric vehicle systems, aiming to contribute to sustainable energy solutions. His dedication to academic research and innovative thinking is reflected in his journal publications and his role in guiding students as an academic leader.

Author Metric:

  • Publications: Several peer-reviewed journal articles in reputed journals.
  • Research Citations: A growing number of citations reflecting the impact of his work in the fields of power electronics and renewable energy systems.

Top Noted Publication:

“A review of swarm-based metaheuristic optimization techniques and their application to doubly fed induction generator”

  • Journal: Heliyon
  • Year: 2022
  • Volume: 8, Issue 10
  • Citations: 17

“A review on grid codes and reactive power management in power grids with WECS”

  • Book Chapter: Advances in Smart Grid and Renewable Energy: Proceedings of ETAEERE-2016
  • Year: 2018
  • Citations: 15

“A heuristic approach to optimal crowbar setting and low voltage ride through of a doubly fed induction generator”

  • Journal: Energies
  • Year: 2022
  • Volume: 15, Issue 24
  • Article ID: 9307
  • Citations: 9

“A modified Whale Optimization Algorithm for exploitation capability and stability enhancement”

  • Journal: Heliyon
  • Year: 2022
  • Volume: 8, Issue 10
  • Citations: 9

“An adaptive neuro-fuzzy logic controller for a two-area load frequency control”

  • Journal: International Journal of Engineering Research and Application
  • Year: 2013
  • Pages: 989-995
  • Citations: 8