Mehrdad Esmaeilipour | Engineering | Best Innovator Award

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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.

Ramana Reddy | Electronics Engineering | Most Cited Article Award

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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

E.Laxmi Lydia | Computer Science | Best Researcher Award

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Prof. E.Laxmi Lydia, Computer Science, Best Researcher Award

Professor at Velagapudi Ramakrishna Siddhartha Engineering College, Siddhartha Academy of Higher Education (SAHE), India

Summary:

Dr. E. Laxmi Lydia is a seasoned educator and researcher with over 20 years of experience in teaching, training, and research. Currently serving as a Professor and Dean of R&D at Vignan’s Institute of Information Technology, she has significantly contributed to the academic and research community. Dr. Lydia is recognized for her exceptional interpersonal skills, commitment to student development, and active involvement in curriculum design and institutional accreditation processes. Her extensive expertise and numerous accolades, including the Best Researcher Award for five consecutive years, highlight her dedication to advancing knowledge and fostering innovation in the field of computer science and engineering.

Professional Profile:

👩‍🎓Education:

Ph.D. in Computer Science and Engineering (Year not specified)

Master of Computer Applications (MCA) (Year not specified)

Bachelor of Science (B.Sc.) (Year not specified)

🏢 Professional Experience:

Professor & Dean of R&D Vignan’s Institute of Information Technology (A), July 2019 – Present
Dr. E. Laxmi Lydia leads the Research and Development department, overseeing various research initiatives and fostering collaborations both within and outside the institution. She plays an integral role in curriculum development and significantly contributes to the institution’s growth and academic excellence.

Associate Professor Vignan’s Institute of Information Technology (A), 2015 – 2019
In her tenure as an Associate Professor, Dr. Lydia taught both undergraduate and postgraduate courses, guided numerous research projects, and actively participated in various academic committees. Her efforts were pivotal in advancing the research capabilities and academic standards of the institution.

Associate Professor Raghu Engineering College, 2011 – 2015
At Raghu Engineering College, Dr. Lydia conducted lectures, supervised research activities, and contributed significantly to the academic community through her publications and participation in conferences. Her work helped in elevating the research profile and educational quality of the college.

Assistant Professor Ravindra and Rajendra PG College for MCA, 2003 – 2009
During her tenure as an Assistant Professor, Dr. Lydia was responsible for teaching MCA students, developing comprehensive course materials, and mentoring students. Her dedication to teaching and mentorship helped shape the careers of many students in the field of computer science and engineering.

Honors & Certifications:

  • Oracle Certified (2009)
  • Microsoft Certified Solution Developer (MCSD)
  • Outcome-Based Education (OBE) Certified
  • Engineering Education Certification
  • EPICS-Engineering Projects in Community Services Certified
  • Reviewer for JEET Scopus Journal
  • Best Researcher Award (2018, 2019, 2020, 2021, 2022) at Vignan’s Institute of Information Technology
  • Distinguished Faculty in CSE-2021 by Ambitions, an educational entity

Professional Affiliations:

  • Member of the Board of Studies (BOS) at Vignan’s Institute of Information Technology
  • Member of the International Accreditation Council of Quality Education & Research (IACQER)
  • Member of the Computer Society of India

Research Interests:

Dr. Lydia’s research interests encompass a wide range of topics within computer science and engineering, including but not limited to:

  • Artificial Intelligence and Machine Learning
  • Data Science and Big Data Analytics
  • Cybersecurity and Information Assurance
  • Software Engineering and Development
  • Internet of Things (IoT) and Smart Systems

Top Noted Publication:

An Optimal Least Square Support Vector Machine Based Earnings Prediction of Blockchain Financial Products

  • Authors: M Sivaram, EL Lydia, IV Pustokhina, DA Pustokhin, M Elhoseny, GP Joshi
  • Journal: IEEE Access
  • Volume: 8
  • Pages: 120321-120330
  • Year: 2020
  • Citations: 97

Concept of Electronic Document Management System (EDMS) as an Efficient Tool for Storing Document

  • Authors: ATR Rosa, IV Pustokhina, EL Lydia, K Shankar, M Huda
  • Journal: Journal of Critical Reviews
  • Volume: 6
  • Issue: 5
  • Pages: 85-90
  • Year: 2019
  • Citations: 91

Synergic Deep Learning Model–Based Automated Detection and Classification of Brain Intracranial Hemorrhage Images in Wearable Networks

  • Author: EL Lydia
  • Journal: Personal and Ubiquitous Computing
  • Year: 2022
  • Citations: 90

Optimal Deep Learning Based Image Compression Technique for Data Transmission on Industrial Internet of Things Applications

  • Authors: B Sujitha, VS Parvathy, EL Lydia, P Rani, Z Polkowski, K Shankar
  • Journal: Transactions on Emerging Telecommunications Technologies
  • Volume: 32
  • Issue: 7
  • Article: e3976
  • Year: 2021
  • Citations: 84

Data Encryption for Internet of Things Applications Based on Catalan Objects and Two Combinatorial Structures

  • Authors: MH Saračević, SZ Adamović, VA Miškovic, M Elhoseny, ND Maček, EL Lydia
  • Journal: IEEE Transactions on Reliability
  • Volume: 70
  • Issue: 2
  • Pages: 819-830
  • Year: 2020
  • Citations: 83

 

Fahad Alhashmi Alamer | Conductive Textile | Best Researcher Award

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Prof. Fahad Alhashmi Alamer, Conductive Textile, Best Researcher Award

Doctorate at Umm AL-Qura University, Saudi Arabia

Summary:

Prof. Fahad Alhashmi Alamer is a distinguished researcher and academician in the field of materials science and engineering. With a Ph.D. from a prestigious university in the USA and a strong academic background, he has made significant contributions to the development and application of advanced materials, particularly in the areas of flexible conductors, conductive fabrics, and supercapacitor technology.

Throughout his career, Prof. Alamer has held various leadership positions at Umm Al-Qura University (UQU), including Vice Dean roles and Head of the Physics Department. His tenure in academic leadership underscores his commitment to academic development, quality enhancement, and community service within the university.

Professional Profile:

Scopus Profile

Google Scholar Profile

👩‍🎓Education & Qualification:

Dr. Fahad Alhashmi Alamer has a distinguished academic background, as evidenced by his educational achievements:

  • Ph.D. from the University of [Redacted], USA, conferred in 2013.
  • M.Sc. from Umm Al-Qura University, K.S.A, attained in 2009.
  • B.Sc. from Umm Al-Qura University, K.S.A, obtained in 1999.

Professional Experience:         

Prof. Fahad Alhashmi Alamer has held several prominent academic leadership positions at Umm Al-Qura University (UQU). Notably, he served as the Vice Dean of the College of Applied Sciences for Development and Quality from May 24, 2019, to January 24, 2021, where he played a key role in enhancing academic standards and promoting quality initiatives. Additionally, he assumed the role of Head of the Physics Department at UQU from June 30, 2019, to December 23, 2019, demonstrating his commitment to academic excellence in the field of physics. Earlier in his career, Prof. Alamer served as the Vice Dean for Academic Development and Community Service at UQU from June 14, 2017, to May 23, 2019, and from July 6, 2015, to June 13, 2017, where he spearheaded various initiatives aimed at fostering academic growth and community engagement. Furthermore, he held the position of Head of the Physics Department at UQU from November 27, 2014, to November 11, 2015, and served as the Vice Dean of the Common First Year for Branches at UQU from June 17, 2014, to December 11, 2014. Throughout these roles, Prof. Alamer demonstrated strong leadership, dedication to academic development, and a commitment to serving the university community.

 Research Interest:

Dr. Fahad Alhashmi Alamer’s research interests span across several key areas within materials science and engineering. Primarily, he focuses on the electro-optical properties of electrochromic devices utilizing conjugated polymers. Additionally, he is involved in the preparation and characterization of conductive cotton fabrics employing conductive polymers. Furthermore, his work extends to the fabrication and characterization of conductive cotton fabrics using carbon-based materials like graphene, graphite, and carbon nanotubes. Lastly, Dr. Alamer investigates the impact of nanoparticles on the electrical properties of conductive fabrics. Through his research endeavors, he contributes to advancing knowledge and innovation in these critical fields.

Publication Top Noted:

Highly Conductive Flexible Conductor Based on PEDOT:PSS/MWCNTs Nano Composite

  • Authors: F. Alhashmi Alamer
  • Journal: Crystals
  • Year: 2023
  • Citation count: 1

The Influence of Titanium Oxide Nanoparticles and UV Radiation on the Electrical Properties of PEDOT:PSS-Coated Cotton Fabrics

  • Authors: F. Alhashmi Alamer, R.F. Beyari
  • Journal: Materials
  • Year: 2023
  • Volume: 16
  • Citation count: 1

Thermo-Electric Properties of Conductive Cotton Fabrics: Synergistic Effects of Graphene Doping Ratio and Amount

  • Authors: F.A. Alamer, K. Althagafy, H. Alghamdi, A. Saeedi, S.A. Ahmed
  • Journal: Journal of Inorganic and Organometallic Polymers and Materials
  • Year: 2023

Revolutionizing capacitor technology: conductive cotton fabrics based graphite as supercapacitor capacitors

  • Authors: F.A. Alamer, E. AlQwaizani, K. Althagafy
  • Journal: Carbon Letters
  • Year: 2023

Fabrication of Conductive Fabrics Based on SWCNTs, MWCNTs and Graphene and Their Applications: A Review

  • Authors: F. Alhashmi Alamer, G.A. Almalki
  • Journal: Polymers
  • Year: 2022
  • Volume: 14
  • Citation count: 7

 

 

Zakria Qadir | Computer Engineering

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Dr. Zakria Qadir: Leading Researcher in Computer Engineering

🎉 Congratulations Dr. Zakria Qadir on Winning the Most Reader’s Article Award! 🏆 Your dedication to research, mentorship, and collaboration with international teams is truly commendable. This award is a testament to your outstanding work and the impact it has on the broader community.

Professional Profile:

🔬 Research Focus: Enthusiastic PostDoc Research Associate at UNSW Artificial Intelligence Institute, dedicated to pushing boundaries in DIGITECH. Research spans Artificial Intelligence, Machine Learning, Wireless Communication, IoT, and Cybersecurity. Highly cited Young STEM Researcher.

🎓 Education:

  • Ph.D. in Electrical and Computer Engineering (Western Sydney University).
    • Research: Smart UAVs for disaster relief, AI, ML, IoT applications.
  • Master’s in Sustainable Environment and Energy System (METU).
    • Thesis: Neural Network-Based Prediction Algorithms for Hybrid PV-Wind System.
  • Bachelor of Science in Electronic Engineering (UET Taxila).
    • Gold Medal Award for securing First Position.

🏆 Achievements:

  • Google Scholar: Citations 1000+, H-Index 17, Total Papers 40, Cumulative Impact Factor >100+.
  • Keynote Speaker at Core A conferences.
  • Fully Funded ARC Research Discovery Scholarship for Ph.D.
  • Various scholarships and awards for academic excellence.

👨‍💻 Professional Experience:

  • Post-Doc Research Associate at UNSW, collaborating with the Department of Defence Australia.
  • Research: Drones-aided AI Algorithms for Battlefield Scenarios.
  • Research Assistant at UNSW, collaborating with Cisco, focusing on Intelligent Transportation Systems.
  • Sessional Lecturer at Victoria University, teaching Data Science, AI, Computer Science, Business Analysis, Networking.
  • Casual Lecturer at Western Sydney University (WSU) and Melbourne Institute of Technology (MIT).
  • Lecturer at National University of Technology, teaching IoT, AI, and Machine Learning.
  • Senior Research Scientist at Imam Abdulrahman Bin Faisal University.
  • Graduate Teaching Assistant at Middle East Technical University (METU).
  • Lab Engineer at National University of Science and Technology (NUST).

Publication Top Noted:

  • Towards 6G Internet of Things: Recent advances, use cases, and open challenges
  • A Hybrid Deep Learning Approach for Bottleneck Detection in IoT
  • A strong construction of S-box using Mandelbrot set an image encryption scheme
  • Resource optimization in UAV-assisted wireless networks—A comprehensive survey
  • Autonomous UAV Path-Planning Optimization Using Metaheuristic Approach for Predisaster Assessment

📚 Skills:

  • Programming Languages: MATLAB, Python, C++.
  • Metaheuristic Algorithms: PSO, ACO, DGBCO, GWO.
  • Machine Learning (AI): Deep learning, Feature Extraction, CNN, FRNN, YOLO.
  • Understanding of Arduino, Raspberry Pi, Proteus, Lucid Chart, VOSViewer, LaTeX.

🎓 Teaching Experience:

  • Lectured and supervised students at various universities.
  • Lesson planning, preparation, and research in diverse areas.

🏅 Honors and Awards:

  • Graduate Teaching Assistant Scholarship at METU.
  • Gold Medal Award for securing First Position in Bachelors.
  • Best Engineering Project Award at UET Taxila.

🏆 Funding and Recognition:

  • Awarded ARC Research Discovery Scholarship, Research Candidate Support Funding, Teaching Assistant Scholarships, Travel Grants, and Research Grants.
  • Recognition from Core A conferences and Australia’s Natural Hazard Research.

 

The paper “A Prototype of an Energy-Efficient MAGLEV Train: A Step Towards Cleaner Train Transport” focuses on the development and evaluation of a prototype Magnetic Levitation (MAGLEV) train with an emphasis on energy efficiency. Below are some key points and important content from the paper:

Abstract:

  • Focus: Development and assessment of an energy-efficient MAGLEV train prototype.
  • Goal: Contributing to cleaner and more sustainable train transportation.

Introduction:

  • Motivation: Addressing the need for environmentally friendly and energy-efficient transportation solutions.
  • Importance of MAGLEV: Highlighting the advantages of MAGLEV technology, such as reduced friction and energy consumption.

Key Features of the MAGLEV Prototype:

  • Energy Efficiency Measures: Description of features and technologies incorporated to enhance energy efficiency.
  • Magnetic Levitation System: Explanation of the MAGLEV technology used in the prototype.
  • Propulsion System: Details about the propulsion mechanism and its role in energy savings.

Performance Evaluation:

  • Energy Consumption Analysis: Quantitative assessment of energy consumption compared to traditional train systems.
  • Environmental Impact: Discussion on the potential reduction in carbon footprint and environmental benefits.

Results and Findings:

  • Energy Savings Percentage: Presentation of the achieved energy savings compared to conventional trains.
  • Operational Stability: Evaluation of the MAGLEV prototype’s stability during operations.

Conclusion:

  • Significance: Emphasizes the significance of developing energy-efficient transportation solutions.
  • Future Implications: Discusses the potential widespread adoption of MAGLEV technology for cleaner and sustainable train transport.

Impact and Citations:

  • Citation Count: Indicates the paper’s impact and recognition within the research community.
  • Reader’s Count: Reflects the broader readership and interest in the paper’s findings.

Innovation and Contribution:

  • Novelty: Highlights any novel approaches, technologies, or methodologies introduced in the MAGLEV prototype.
  • Contribution to the Field: Describes how the research contributes to advancements in cleaner and energy-efficient transportation.

This summary provides a glimpse into the essential content of the paper, focusing on its goals, methodology, findings, and impact on the field of transportation and energy efficiency.