Mr. Mehrdad Esmaeilipour | Smart Systems | Best Wearable Sensing Technology Award

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Mr. Mehrdad Esmaeilipour | Smart Systems | Best Wearable Sensing Technology Award 

Mr. Mehrdad Esmaeilipour, Aria Plasma Gostar Pars, Iran

Mehrdad Esmaeilipour is a seasoned Electronics Engineer recognized for his innovative contributions to green technology and environmental sustainability. Currently serving as a Senior Electronics Engineer at Arya Plasma Gostar Pars Company, he leads the development of cutting-edge air purification and water filtration systems that utilize intelligent circuit design and cold plasma technology. He is also the founder and CEO of Parsa Pardazesh Bushehr Sanat Company (PPBS Co.), an electronics and IT enterprise fostering innovation and providing career opportunities for young professionals. His entrepreneurial mindset and passion for social impact led to the invention of a smart bracelet for visually impaired individuals, integrating artificial intelligence to enhance navigation and emergency support. Mehrdad has a solid academic background in electronics engineering from Islamic Azad University and a proven record in project leadership, robotic system development, and patent innovation. He holds multiple patents, including one for a cold plasma-based wastewater treatment system and another for his AI-powered smart wearable. Known for his strong technical expertise, community involvement, and mentorship initiatives, Mehrdad continues to shape the future of sustainable and assistive technology.

Professional Profile:

GOOGLE SCHOLAR

✅ Summary of Suitability

Mehrdad Esmaeilipour exemplifies innovation in wearable sensing technology, with a clear passion for leveraging electronics engineering for social impact and sustainability. His work spans environmental systems, robotics, and digital health, but his standout contribution to wearable sensing lies in the development of a patented smart bracelet for the visually impaired—an AI-powered device designed to enhance real-time navigation and emergency response.

🎓 Education

  • 🧑‍🎓 Bachelor’s Degree in Electronics Engineering Technology
    Islamic Azad University – 📅 Jan 2012

  • 🧑‍🎓 Associate’s Degree in Electronics
    Islamic Azad University – 📅 Jan 2009

  • 🎓 Diploma in Electronics
    Azadegan Technical High School – 📅 Jan 2006

💼 Work Experience

1️⃣ Senior Electronics Engineer

Arya Plasma Gostar Pars Company (Plasma Systems)
📍 Nov 2017 – Present
🔧 Key Responsibilities:

  • 👨‍🔬 Lead circuit production and R&D for purification systems

  • ⚡ Design power, plasma, control, and sensor circuits

  • 🧪 Innovate ICs for air & water purification

  • 🔍 Supervise quality control & team management

  • 📈 Support marketing and product optimization

  • 🌱 Promote environmental sustainability

  • 💻 Tools: Altium Designer, Eagle

🏆 Achievements:

  • 📄 Patent: “Treatment of Spent Caustic and Disulfide Oil Wastewater”

  • 💨 2022: Intelligent Air Purification for Bushehr Province

  • 🌊 2021: Cold Plasma Odor Removal System in Hormuz

  • 🖊️ 2020: Closed Circuit Water System for Pen Factory

  • 💧 2019: Air Purification for Bandar Abbas Stations

  • 🌊 2018: Microbial Sea Water Purification at Persian Gulf University

2️⃣ CEO & Lead Engineer

Parsa Pardazesh Bushehr Sanat Company (PPBS Co.)
📍 Dec 2014 – Present
🔧 Key Responsibilities:

  • 👨‍💼 Team leadership, project planning, and staff development

  • 🧠 Mentorship, skill development, and technical training

  • 🧰 Proficiency in electronics & IT solutions

🏆 Achievements:

  • 🔐 2024: Designed & Secured ImmiEnglish Website

  • 🛡️ 2021: Installed Security Systems at Iran Oxford Academy

  • 📡 2020: Established Telecom & Network Systems

3️⃣ Robotic Team Volunteer

Islamic Azad University – Electrical Department
📍 550 hours, Voluntary Role
🔧 Key Contributions:

  • 🤖 Circuit & sensor integration in robotic systems

  • ⚙️ Implemented PID and advanced control methods

  • 🧑‍🏫 Mentored students and led project teams

🏆 Achievements:

  • 🤖 2025: Robotic Prototype Developed

  • 🛠️ 2024: Advanced Control System Integration

  • 👥 2023: Student Mentorship and Team Development

🏅 Patents, Inventions & Honors

🔬 Patents & Inventions

  1. 🧠 Smart Bracelet for the Visually Impaired
    📍 Intellectual Property Center, Iran
    📅 Nov 2024 | 🌍 International Tier
    🆔 ID: 140350340002004729 | ✅ Code: 456116

  2. 💧 Cold Plasma Sterilizer for Oil & Gas Wastewater Treatment
    🤝 Co-Inventor with Arya Plasma Gostar Pars Company
    📄 Recognized & Under Patent Process

🏆 Honors

  • 🌟 Recognized Emerging Entrepreneur for founding PPBS Co.

  • 👨‍🔧 Lead Engineer on multiple national environmental tech projects

  • 🧑‍🏫 Esteemed mentor and organizer of robotics programs

Publication Top Notes:

Design, Construction and Performance Comparison of Fuzzy Logic Controller and PID Controller for Two-Wheel Balance Robot(Smart Sensors)

Advanced Design,Simulation,Monitoring,Control,and Maitenance Strategies for Photovoltaic Solar Power Systems (BOOK)

Advancements in Cold Plasma Technology for Electronic and Surface Sterilization Applications

Advances and Challenges in Lithium-Ion Battery Technology

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

Advancements in Cold Plasma Technology for Electronic and Surface Sterilization Applications

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

An Extensive Optimization Framework for Energy Management within Energy Hubs: A Comparative Analysis of Simulated Multi-Agent Systems, Genetic Algorithms, and Mixed-Integer …

 

 

Prof. Dr. Hsien-Huang Wu | Automation Awards | Best Researcher Award

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Prof. Dr. Hsien-Huang Wu | Automation Awards | Best Researcher Award

Prof. Dr. Hsien-Huang Wu, National Yunlin University of Science and Technology, Taiwan

Dr. Hsien-Huang Wu is a Distinguished Professor in the Department of Electrical Engineering at National Yunlin University of Science and Technology, Douliu, Taiwan. He received his B.S. and M.S. degrees in Telecommunication Engineering from National Chiao Tung University in 1982 and 1986, respectively, and earned his Ph.D. in Electrical and Computer Engineering from the University of Arizona in 1993. His research focuses on artificial intelligence and computer vision, particularly for automated optical inspection (AOI) applications. With extensive industrial collaboration, Dr. Wu has worked with over 50 companies to develop innovative systems for automated inspection and production, bridging academic research and practical implementation.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Dr. Hsien-Huang Wu

Dr. Hsien-Huang Wu stands out as a leading figure in the application of artificial intelligence and computer vision to industrial inspection and measurement systems. With a career spanning over three decades and a Ph.D. from the University of Arizona, he currently serves as a Distinguished Professor at the National Yunlin University of Science and Technology, Taiwan—an acknowledgment of his academic stature and impact.

🎓 Education

  • 📍 B.S. in Telecommunication Engineering
    National Chiao Tung University, Hsinchu, Taiwan – 1982

  • 📍 M.S. in Telecommunication Engineering
    National Chiao Tung University, Hsinchu, Taiwan – 1986

  • 🌎 Ph.D. in Electrical and Computer Engineering
    University of Arizona, Tucson, USA – 1993

💼 Work Experience

  • 👨‍🏫 Distinguished Professor
    Department of Electrical Engineering, National Yunlin University of Science and Technology (NYUST), Douliu, Taiwan
    – Current

🌟 Key Achievements

  • 🤖 Pioneering research in artificial intelligence and computer vision for automated optical inspection (AOI)

  • 🏭 Collaborated with 50+ companies to develop intelligent inspection and production automation systems

  • 🔬 Leader in applying cutting-edge AI techniques to real-world industrial measurement and inspection challenges

  • 📚 Significant contributor to academic and applied research in electrical and computer engineering

🏅 Awards & Honors

  • 🥇 Recognized as a Distinguished Professor at NYUST

  • 🏆 Multiple accolades and recognitions for industry collaboration and academic excellence

  • 🧠 Honored for impactful contributions to the field of automated inspection systems

Publication Top Notes:

Prototype design of an intelligent Internet of Things system combined green energy storage device

Distribution Analysis of Dental Plaque Based on Deep Learning

Automatic Optical Inspection for steel golf club

Dr. Nan Liu | Intelligent Manufacturing Awards | Best Researcher Award

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Dr. Nan Liu | Intelligent Manufacturing Awards | Best Researcher Award 

Dr. Nan Liu, Hefei University of Technology, China

Dr. Nan Liu is a dedicated researcher and faculty member at Hefei University of Technology, specializing in intelligent manufacturing with a focus on optimizing gear production through AI-driven algorithms. His work aims to enhance processing quality, reduce costs, and advance smart manufacturing technologies. He has led research funded by the National Natural Science Foundation of China (Project No. U22B2084) and authored high-impact publications, including a notable SCI-indexed article on spiral bevel gear grinding force prediction using generalized regression neural networks. Dr. Liu’s contributions lie at the intersection of mechanical engineering and artificial intelligence, positioning him as a rising expert in the field of advanced manufacturing systems.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Dr. Nan Liu

Dr. Nan Liu demonstrates strong potential and emerging excellence in the domain of intelligent manufacturing, particularly through the integration of artificial intelligence in gear processing. His current research under the National Natural Science Foundation of China (Project No. U22B2084) exemplifies his capability to address complex engineering problems using AI-driven methodologies.

🎓 Education & Qualifications

  • Ph.D. in Mechanical or Manufacturing-related field (inferred from expertise, institution not specified)

  • Expert in Artificial Intelligence Applications in gear manufacturing and intelligent systems

💼 Work Experience

  • Assistant Professor, Hefei University of Technology

  • Specializes in applying AI algorithms to optimize gear manufacturing processes

  • Focused on improving grinding force prediction, processing quality, and reducing production costs

🏆 Achievements

  • 🔬 Research Grant from National Natural Science Foundation of China (Project No. U22B2084)

  • 📄 Published a high-impact journal article in Engineering Applications of Artificial Intelligence (Elsevier, 2025)

  • 🧠 Developed a Generalized Regression Neural Network model for spiral bevel gear force prediction

  • 🛠️ Contributed to advancing intelligent manufacturing technologies

🥇 Award & Honors

  • 🏅 Award Category Preference: Best Research Scholar Award

  • 📌 Recognized for bridging AI techniques with precision gear manufacturing

Publication Top Notes:

Research on grinding force prediction of spiral bevel gear based on generalized regression neural network and undeformed grinding chips

Research on a nonlinear quasi-zero stiffness vibration isolator with a vibration absorber

Prof. Dr. Nelson Gutierrez | Automation Awards | Best Researcher Award

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Prof. Dr. Nelson Gutierrez | Automation Awards | Best Researcher Award 

Prof. Dr. Nelson Gutierrez, UTE University, Ecuador

Dr. Nelson Ramiro Gutiérrez Suquillo is an Ecuadorian researcher and academic known for his interdisciplinary work at the intersection of robotics, renewable energy, and intelligent industrial systems. He serves as a research lecturer at Universidad UTE since 2015 and is currently pursuing a Ph.D. in Robotics. He holds master’s degrees in Renewable Energies & Energy Sustainability and Materials Science & Technology, as well as a bachelor’s degree in Electronic Engineering and Information Networks. His research spans AI-driven diagnostics, mobile robotics for humanitarian applications, sustainable mechanical design, and advanced signal processing. With publications in journals such as Sensors, Salud, Ciencia y Tecnología, INCISCOS, and Enfoque UTE, his work demonstrates a strong commitment to practical, impactful innovation. Dr. Gutiérrez combines technical depth with applied focus, contributing significantly to Ecuador’s academic and technological landscape through research, teaching, and development projects.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Nelson Ramiro Gutiérrez Suquillo

Nelson Ramiro Gutiérrez Suquillo stands out as a versatile and impactful researcher whose work bridges robotics, renewable energy, AI-driven diagnostics, and sustainable engineering. His strong academic background, ongoing PhD in robotics, and dual master’s degrees in renewable energy and materials science demonstrate a deep and interdisciplinary technical foundation.

🎓 Education

  • 🧠 Ph.D. in Robotics (Ongoing) – Focused on mobile robotics, system identification, and intelligent systems

  • ⚡ Master’s in Renewable Energies & Energy Sustainability – Expertise in sustainable technologies and systems

  • 🔬 Master’s in Materials Science & Technology – Specialized in material behavior and simulation

  • 📡 Bachelor’s in Electronic Engineering and Information Networks – Strong foundation in electronics and industrial communication

💼 Work Experience

  • 👨‍🏫 Docente Investigador (Research Lecturer) – Universidad UTE (Since 2015)
    Leads research in robotics, AI for diagnostics, and energy sustainability

  • 🤖 Collaborator on applied robotics projects, including mobile platforms and humanitarian demining

  • ⚙️ Industrial systems innovator: developed prototypes for diagnostics and sustainable machinery

🏆 Achievements & Publications

  • 📚 Published in Sensors, Salud, Ciencia y Tecnología, INCISCOS, and Enfoque UTE

  • 🔍 Contributions include:

    • AI for predictive maintenance 🧠

    • System modeling of differential robots 🤖

    • Sustainable mechanical systems 🌱

    • Wavelet-based sEMG signal processing 🧾

    • ABS brake simulation using finite elements 🛞

🥇 Awards & Honors

  • 🏅 Recognized at national and institutional levels for contributions to sustainable innovation and applied robotics

  • 🧑‍🔬 Active leader in Ecuador’s academic and research ecosystem, mentoring students and spearheading interdisciplinary projects

Publication Top Notes:

Comparison of Two System Identification Approaches for a Four-Wheel Differential Robot Based on Velocity Command Execution

Optimization of Fault Prediction by A.I. in Industrial Equipment: analysis of the operating parameters of a Bench Grinder

Application of Model-Based Design for Filtering sEMG Signals Using Wavelet Transform

Diseño de Robot Móvil para tareas de Desminado Humanitario

Análisis por el método de elementos finitos del comportamiento de las pastillas de freno ABS con base de acero y zinc discretizando el elemento continuo utilizando software CAE

Analysis by the Finite Element Method of the Behavior of the Brake Pads Using CAE Software

Diseño y construcción de un prototipo para la extracción continua de aceite de la semilla Sacha Inchi con un proceso de prensado en frío

 

Prof. Dr JOSE LUIS PASQUEL REATEGUI | Robotics Award | Best Researcher Award

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Prof. Dr JOSE LUIS PASQUEL REATEGUI | Robotics Award | Best Researcher Award

Prof. Dr JOSE LUIS PASQUEL REATEGUI, National University of San Martín, Peru

Dr. Pasquel Reátegui José Luis is a Peruvian researcher specializing in Food Engineering, with expertise in thermodynamics, transport phenomena, and advanced extraction techniques. He holds a Bachelor’s degree in Agroindustrial Engineering from the Universidad Nacional de San Martín (2008), a Master’s (2014), and a Ph.D. (2018) in Food Engineering from the Universidade Estadual de Campinas, Brazil. His research focuses on the valorization of agro-industrial residues, supercritical fluid extraction, ultrasound-assisted processes, emulsions, and encapsulation of bioactive compounds. He has conducted research stays at the University of Cádiz, Spain, and is an active member of Peru’s National System of Science, Technology, and Technological Innovation (SINACYT). Currently, he serves as the General Coordinator of the Agroindustrial Engineering and Technology Research Group (ITAG) at the Universidad Nacional de San Martín, where he also contributes as a co-investigator in various R&D projects.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Suitability of Pasquel Reátegui Jose Luis for the Best Researcher Award

Pasquel Reátegui José Luis is a strong candidate for the Best Researcher Award due to his extensive academic background, impactful research, and leadership roles. His expertise in food engineering, particularly in agroindustrial waste utilization and advanced extraction techniques, aligns with key research advancements in the field. With a Ph.D. from a top Brazilian university and multiple high-impact publications, his contributions to scientific literature are notable. Additionally, his leadership in research groups and administrative roles further demonstrate his dedication to advancing knowledge and innovation.

🎓 Education:

  • Ph.D. in Food Engineering – Universidade Estadual de Campinas, Brazil (2018)
  • M.Sc. in Food Engineering – Universidade Estadual de Campinas, Brazil (2014)
  • B.Sc. in Agroindustrial Engineering – Universidad Nacional de San Martín – Tarapoto, Peru (2008)
  • Research Stay – Universidad de Cádiz, Spain

💼 Work Experience:

  • General Coordinator – Research Group on Agroindustrial Engineering & Technology (Itag), Universidad Nacional de San Martín (2022 – Present) 👨‍🔬
  • Co-Investigator – Universidad Nacional de San Martín (2023 – Present) 🔬
  • Co-Investigator – Universidad Nacional Agraria la Molina (2022 – Present) 🏛️
  • Sub Coordinator (Administrative) – Pre-University Center, Universidad Nacional de San Martín (2024) 📚
  • Director – Research Institute, Universidad Nacional de San Martín (2023) 🏢
  • Committee Member – Safety and Health at Work, Universidad Nacional de San Martín (2023) ⚖️
  • Researcher – Asociación de Productores Diamante Verde (2021 – 2022) 🌱
  • Technical Team Member – Strategic Planning for R&D at Universidad Nacional de San Martín (2022) 📊
  • Committee Member – Research Unit, Universidad Nacional de San Martín (2022) 🧑‍🏫
  • Quality Committee Member – Universidad Nacional de San Martín (2022) ✅
  • Specialized Trainer – Strengthening Scientific Article Writing, Universidad Nacional de San Martín (2021) ✍️

🏆 Achievements & Contributions:

  • Recognized SINACYT Researcher in Science & Technology (Level V) 🔬
  • Expertise in Thermodynamics & Transport Phenomena in Food Engineering ⚛️
  • Specialized in Supercritical Fluid Extraction, Ultrasound, Emulsions & Encapsulation 🧪
  • Development & execution of multiple research projects in food engineering 🍏
  • Contribution to agro-industrial waste utilization for sustainability 🌿

🥇 Awards & Honors:

  • Recognized by CONCYTEC through Sub-Directorate Resolution No. 2285 (2018) 📜
  • Active Renacyt Researcher (P0039487, Level V) until 2025 🏅
  • Leadership in academic and industrial research collaborations 🏛️

Publication Top Notes:

Pressurized liquid extraction of bioactive compounds from blackberry (Rubus fruticosus L.) residues: a comparison with conventional methods

CITED:328

Extraction of antioxidant compounds from blackberry (Rubus sp.) bagasse using supercritical CO2 assisted by ultrasound

CITED:199

Phenolics and carotenoids recovery from agroindustrial mango waste using microwave‐assisted extraction: Extraction and modeling

CITED:23

Production of Copaiba oleoresin particles from emulsions stabilized with modified starches

CITED:16

Production of copaiba (Copaifera officinalis) oleoresin particles by supercritical fluid extraction of emulsions

CITED:12

Prof. Chi-Cheng Cheng | Visual Servo Awards | Best Researcher Award

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Prof. Chi-Cheng Cheng | Visual Servo Awards | Best Researcher Award 

Prof. Chi-Cheng Cheng, National Sun Yat-sen University, Taiwan

Chi-Cheng Cheng is a Professor in the Department of Mechanical and Electro-Mechanical Engineering at National Sun Yat-Sen University, Taiwan. He holds a Doctor of Science degree in Mechanical Engineering from the Massachusetts Institute of Technology, USA, and both a Master’s and Bachelor’s degree in Power Mechanical Engineering from National Tsing Hua University, Taiwan. Since joining National Sun Yat-Sen University, he has held several key academic and administrative positions, including Vice Dean of the College of Engineering, Chairman of the Department of Mechanical and Electro-Mechanical Engineering, and Director of the Engineering Technology Research & Promotion Center. He has also served as a Visiting Professor at Simon Fraser University and a Visiting Scholar at the University of British Columbia, Canada. His research interests span system dynamics and control, machine vision, intelligent robots, mechatronics, and man-machine interfaces. Throughout his career, he has received numerous awards, including the Excellent Teaching Award and the Excellent Research Award, recognizing his contributions to academia and industry-academia collaboration.

Professional Profile:

SCOPUS

Suitability of Dr. Chi-Cheng Cheng for the Best Researcher Award

Dr. Chi-Cheng Cheng is a highly distinguished researcher and professor in the Department of Mechanical and Electro-Mechanical Engineering at National Sun Yat-Sen University, Taiwan. With a Doctor of Science in Mechanical Engineering from MIT (1991), he has over three decades of academic and research experience, holding numerous leadership roles, including Vice Dean of the College of Engineering, Chairman of the Department, and Director of the Engineering Technology Research & Promotion Center.

🎓 Education

  • 🏛 Doctor of Science in Mechanical Engineering – Massachusetts Institute of Technology, USA (April 1991)
  • 🏛 Master of Science in Power Mechanical Engineering – National Tsing Hua University, Taiwan (June 1983)
  • 🏛 Bachelor of Science in Power Mechanical Engineering – National Tsing Hua University, Taiwan (June 1981)

💼 Work Experience

  • 👨‍🏫 Professor, Dept. of Mechanical and Electro-Mechanical Engineering (Feb. 2003–Present) – National Sun Yat-Sen University
  • 👨‍🏫 Professor, College of General Education (Sep. 2003–Jul. 2024) – National Sun Yat-Sen University
  • 🏛 Vice Dean, College of Engineering (Aug. 2017–Jul. 2020) – National Sun Yat-Sen University
  • 🔬 Director, Engineering Technology Research & Promotion Center (Aug. 2017–Jul. 2020) – National Sun Yat-Sen University
  • 🎓 Chairman, Dept. of Mechanical and Electro-Mechanical Engineering (Aug. 2014–Jul. 2017) – National Sun Yat-Sen University
  • 🌍 Visiting Professor, School of Engineering Science (Feb. 2009–Jul. 2009) – Simon Fraser University, Canada
  • 🌏 Dean, Office of International Affairs (Feb. 2007–Jan. 2009) – National Sun Yat-Sen University
  • ⚙️ Adjunct Professor, Institute of Undersea Technology (Aug. 2003–Jul. 2014) – National Sun Yat-Sen University
  • 📡 Visiting Scholar, Dept. of Electrical and Computer Engineering (Aug. 2002–Dec. 2002) – University of British Columbia, Canada
  • 🔬 Director, Div. of Projects Management, Office of Research Affairs (Sep. 1998–Jul. 2002) – National Sun Yat-Sen University
  • 👨‍🏫 Associate Professor, Dept. of Mechanical and Electro-Mechanical Engineering (Aug. 1991–Jan. 2003) – National Sun Yat-Sen University

🏆 Honors & Awards

  • 🏅 Excellent Teaching Award – National Sun Yat-Sen University (2017, 2018, 2019, 2020)
  • 🎖 Industry-Academy-Research Good Blue-chip Teachers – National Sun Yat-Sen University (2015, 2016)
  • 🏆 Excellent Research Award – National Science Council, Republic of China (1998, 2001, 2002)
  • 🎓 Fellowship of Ministry of Education – Republic of China (1984)
  • 📜 Thesis Award – The Chinese Mechanical Engineers Society (1983)

Publication Top Notes:

A Visually Assistive Guidance System for Visually Impaired Pedestrians Passing Crosswalks

Detection of Hydrogen Bubbles Produced by Corrosion Inhibition of Metal Weldment Using Machine Learning

A Classifier of AMOLED-TFT Defect Images Based on a DNN Ensemble Framework

An Automatic Kiss Camera System Using Deep Neural Network Technique

A Human-Like Intelligent Swing System Using the Machine Vision Approach

Human-like Hitting Strategies for a Ball Bouncing Robot

Night pedestrian detection based on fuzzy reasoning