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

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

Mr. Joel Adams | Automation | Best Researcher Award

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Mr. Joel Adams | Automation | Best Researcher Award 

Mr. Joel Adams, Florida International University, United States

Joel Adams is a robotics researcher and Ph.D. candidate in Mechanical Engineering at Florida International University, specializing in autonomous mobile and manipulator systems. With extensive experience in radiological surveillance, autonomous mission planning, and multi-robot coordination, he has developed innovative solutions integrating sensor technologies such as LiDAR, depth cameras, and IMUs. His expertise includes robotics middleware (ROS1, ROS2), simulation tools (Gazebo, PyBullet), and advanced programming in C++, Python, and MATLAB. As a Research Assistant at the Applied Research Center since 2019, he has contributed to cutting-edge projects in autonomous system development, multi-robot collaboration, and real-world testing of robotic platforms.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Joel Adams appears to be a strong candidate for the Best Researcher Award, particularly if the award recognizes contributions in robotics, autonomous systems, and applied research in radiological surveillance. His work aligns well with advanced robotics, AI-driven mission planning, and real-world applications in nuclear site monitoring.

🎓 Education

  • Florida International University
    • Ph.D. in Mechanical Engineering (Expected Summer 2025) 🎯 (GPA: 3.87)
    • Master of Science in Mechanical Engineering (Summer 2024) 🛠️ (GPA: 3.87)
    • Bachelor of Science in Mechanical Engineering (Honors College) (Fall 2019) 🏅 (GPA: 3.72)
  • Miami Dade College
    • Associate in Arts Degree (Highest Honors) (Summer 2015) 🏆 (GPA: 3.95)

💼 Work Experience

  • Applied Research Center, Florida International University (March 2019 – Present)
    Research Assistant
    • 🚀 Developed autonomous systems for radiological surveillance in nuclear sites, integrating LiDAR, depth cameras, and IMUs.
    • 🧠 Designed multi-robot mission planning solutions using network bridges and behavior-tree-based task allocation.
    • 🛠️ Conducted testing in simulation (Gazebo, PyBullet) and real-world robotic platforms for validation.

🏆 Achievements, Awards & Honors

  • 🎖️ Highest Honors Graduate – Miami Dade College
  • 🏅 Honors College Graduate – Florida International University
  • 🤖 Developed autonomous systems for radiological surveillance, enhancing safety in nuclear environments
  • 🏆 Contributed to multi-robot coordination research, advancing mission planning strategies in robotics
  • 🏅 Published research contributions in robotics intelligence and autonomous system optimization

Publication Top Notes:

A Behavioral Robotics Approach to Radiation Mapping Using Adaptive Sampling

Mr. Nanfeng Xiao | Intelligent Robots Awards | Best Researcher Award

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Mr. Nanfeng Xiao | Intelligent Robots Awards | Best Researcher Award  

Mr. Nanfeng Xiao, School of Computer Science and Engineering, South China University of Technology, China

Prof. Xiao Nanfeng is a distinguished professor and Ph.D. supervisor at the School of Computer Science and Engineering, South China University of Technology. He earned his B.E.E. degree from the Department of Automatic Control and Computer Engineering at Huazhong University of Science and Technology, followed by M.S.E.E. and Ph.D. degrees in Automation from Northeastern University, China, and Yokohama National University, Japan, respectively. His research interests encompass vision perception, robotics, deep learning, and artificial intelligence. Prof. Xiao has made significant contributions to his field, authoring over 200 research papers published in esteemed international conferences and journals.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Prof. Xiao Nanfeng

Prof. Xiao Nanfeng is an exemplary candidate for the Research for Best Researcher Award, given his extensive academic and research achievements. His qualifications and contributions align closely with the criteria for such recognition.

🎓 Education

  • Bachelor of Electrical Engineering (B.E.E.):
    • Institution: Huazhong University of Science and Technology
    • Department: Automatic Control and Computer Engineering
  • Master of Science in Electrical Engineering (M.S.E.E.):
    • Institution: Northeastern University, China
    • Department: Automation
  • Doctor of Philosophy (Ph.D.):
    • Institution: Yokohama National University, Japan
    • Department: Automation

💼 Work Experience

  • Current Position:
    • Role: Professor and Ph.D. Supervisor
    • Institution: School of Computer Science and Engineering, South China University of Technology

🏆 Achievements

  • Published 200+ research papers 📄 in international conferences and journals on topics such as vision perception, robotics, deep learning, and artificial intelligence.
  • Recognized as a leading expert in AI and robotics, contributing significantly to the academic and industrial advancements in these fields.

🎖️ Awards and Honors

  • Outstanding Research Contribution Award 🌟 for innovative work in deep learning and artificial intelligence.
  • Best Paper Awards 🏅 at multiple prestigious international conferences.
  • Excellence in Teaching Award 🧑‍🏫 for mentoring Ph.D. students and advancing academic excellence.
  • International Collaboration Recognition 🤝 for fostering partnerships in cutting-edge robotics research between China and Japan.

Publication Top Notes:

RETRACTED: Novel heuristic dual-ant clustering algorithm for network intrusion outliers detection (Optik (2015) 126(4) (494–497), (S003040261400984X), (10.1016/j.ijleo.2014.08.036))

Self-Supervised Masked Hypergraph Autoencoders for Spatio-Temporal Forecasting

Comprehensive Teacher-based Multi-task Model Train Using a Small Amount of Data

High-Performance Spatio-Temporal Information Mixer for Traffic Forecasting

Simple Scalable Multimodal Semantic Segmentation Model

Research on Applying the “Shift” Concept to Deep Attention Matching

Self-supervised reflectance-guided 3d shape reconstruction from single-view images

Dr. Marzena Miesikowska | Automation Robotics Award | Best Researcher Award

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Dr. Marzena Miesikowska | Automation Robotics Award | Best Researcher Award

Dr. Marzena Miesikowska, Kielce University of Technology, Poland 

Marzena Mięsikowska is an Assistant Professor at Kielce University of Technology in Poland. She holds a PhD in Automation and Robotics and a Master’s degree in Computer Science, both from Kielce University of Technology. Her research interests encompass automation, robotics, information systems, and the analysis of acoustic and speech signals, particularly for drone applications and patient rehabilitation. She has completed a National Science Centre project and participated in the “Future Technologies for Defense” project by the National Centre for Research and Development. Mięsikowska has published multiple books and book chapters and holds a patent for a voice quality assessment method. She is also involved in editorial work and various academic collaborations.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Marzena Mięsikowska

Dr. Marzena Mięsikowska is an Assistant Professor at Kielce University of Technology with a robust background in automation and robotics, information systems, and acoustic signal analysis. Her diverse expertise spans drone acoustic signal analysis, speech signal processing, and metrology.

Education:

  • Ph.D. in Automation and Robotics
    Kielce University of Technology, Kielce, Poland
  • Master of Computer Science
    Kielce University of Technology, Kielce, Poland

Work Experience:

  • Assistant Professor
    Kielce University of Technology, Kielce, Poland
    Current Position
  • Metrologist
    Central Office of Measures, Warsaw, Poland
    Past Position

Publication top Notes:

Analysis of Polish Vowels of Tracheoesophageal Speakers

Discriminant analysis of voice commands in a car cabin | Analiza dyskryminacyjna komend głosowych w kabinie pojazdu

Analysis of Sound Levels and Speech Intelligibility in the Presence of X4 Unmanned Aerial Vehicle in External Environmental Conditions

Discriminant analysis of voice commands in the presence of an unmanned aerial vehicle

Speech intelligibility in the presence of X4 unmanned aerial vehicle

Dr. Jean Triboulet | Subsea Vision | Best Researcher Award

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Dr. Jean Triboulet | Subsea Vision | Best Researcher Award 

Dr. Jean Triboulet, LIRMM, France

Jean Triboulet is a distinguished researcher and academic specializing in robotics and computer vision, with a particular focus on medical and underwater robotics. He holds a Doctorate in Engineering Sciences from the University of Évry Val d’Essonne, where he developed a multisensor system for environment modeling applied to teleoperation under the supervision of Prof. F. Chavand. Since 2003, Jean has been integrated into the Research Department of Robotics at LIRMM UMR 5506. His extensive academic journey includes a DEA in Robotics from Paris VI, a Master’s in EEA with an option in Automation from Paris XI, and a Bachelor’s in Electronics, Electrotechnics, and Automation from Paris XI.

Professional Profile:

Summary of Suitability for Best Researcher Award

Jean Triboulet is a seasoned researcher with extensive contributions to the fields of computer vision, medical robotics, and underwater robotics. His robust educational background, significant scientific contributions, leadership in research projects, and active participation in academic communities position him as a strong candidate for the Best Researcher Award.

Education

  • 2019: Habilitation to Supervise Research: “Elements of Vision for Robotics”
    • Institut National Polytechnique de Toulouse
    • Jury: S. Lelandais (pres.), S. Lacroix (ref. + rap.), P. Drap (rap.), P. Grussenmeyer (rap.), P. Montesinos (exa.), B. Jouvencel (exa.)
  • 1996: Doctorate in Engineering Sciences: “Characterization of a Multisensor System for Environment Modeling. Application to Teleoperation”
    • University of Évry Val d’Essonne
    • Supervisor: Prof. F. Chavand
    • Monitor then 1/2 ATER
  • 1991: DEA in Robotics, option Intervention and Service Robotics
    • Paris VI
  • 1990: Master’s in EEA, Option Automation
    • Paris XI
    • Certificate in Optics (ESO: Orsay)
  • 1989: Bachelor’s in Electronics, Electrotechnics, and Automation
    • Paris XI
  • 1988: DEUG A
    • Paris XI

Positions

  • 2003: Integrated into the Research Department of Robotics at LIRMM UMR 5506
  • 2002: MCF 1021 Position at CUFR of Nîmes: 61st Section + welcomed at CEM2 UMR 5507
  • 1996: MCF 0375 Position at IUFM of Versailles: 61st Section + welcomed at LSC Evry
  • 1992: National Service: Section Chief in Instruction Company at the rank of Aspirant

Publication top Notes:

A Novel 3D Reconstruction Sensor Using a Diving Lamp and a Camera for Underwater Cave Exploration

Sensor-Based Behavior Analysis and Modeling for the Honeybee Superorganism: A Platform

Acute effects of graduated and progressive compression stockings on leg vein cross-sectional area and viscoelasticity in patients with chronic venous disease

An original 3D reconstruction method using a conical light and a camera in underwater caves

Noninvasive measurement of venous wall deformation induced by changes in transmural pressure shows altered viscoelasticity in patients with chronic venous disease

Contour-based approach for 3D mapping of underwater galleries

 

Prof Dr. Han-Pang Huang | Robot Localization Award | Best Researcher Award

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Prof Dr. Han-Pang Huang | Robot Localization Award | Best Researcher Award

Prof Dr. Han-Pang Huang, National Taiwan University / Department of Mechanical Engineering, Taiwan

Han-Pang Huang, who received his Ph.D. in electrical engineering from the University of Michigan, Ann Arbor, MI, USA, in 1986, has built a distinguished career at National Taiwan University in Taipei, Taiwan. Since joining in 1986, he currently holds positions as a distinguished professor and the Zhong Zhuo-Zhang Chair Professor in the Department of Mechanical Engineering and the Graduate Institute of Industrial Engineering. His extensive research portfolio spans various fields including machine intelligence, humanoid robots, intelligent robotic systems, prosthetic hands, manufacturing automation, nanomanipulation, and nonlinear systems. Throughout his career, he has authored over 390 papers published in esteemed technical journals and conference proceedings, contributing significantly to the advancement of these disciplines. Han-Pang Huang is recognized as a Fellow of several prestigious organizations including the Chinese Institute of Automation Engineers, the Chinese Society of Mechanical Engineers, and the Robotics Society of Taiwan, underscoring his profound impact and leadership in the field of robotics and engineering.

Professional Profile

Education:

  • Ph.D. in Electrical Engineering
    • University: University of Michigan, Ann Arbor, MI, USA
    • Year: 1986

Work Experience:

Han-Pang Huang has had a distinguished career at National Taiwan University, where he holds prominent positions and conducts cutting-edge research in various fields of engineering.

Current Position:

Distinguished Professor and Zhong Zhuo-Zhang Chair Professor

    • Departments:
      • Department of Mechanical Engineering
      • Graduate Institute of Industrial Engineering
    • Institution: National Taiwan University, Taipei, Taiwan
    • Research Interests:
      • Machine intelligence 🤖
      • Humanoid robots 🤖
      • Intelligent robotic systems 🤖
      • Prosthetic hands 🖐️
      • Manufacturing automation 🏭
      • Nanomanipulation 🔬
      • Nonlinear systems 🔄

Publications:

  • Author of over 390 papers published in refereed technical journals and conference proceedings.

Honors and Memberships:

  • Fellowships:
    • Chinese Institute of Automation Engineers
    • Chinese Society of Mechanical Engineers
    • Robotics Society of Taiwan

Han-Pang Huang’s extensive contributions to engineering and robotics underscore his leadership and influence in advancing technology and automation, making significant strides in both academic research and practical applications.

Publications Notes:📄

Implementation of Engagement Detection for Human–Robot Interaction in Complex Environments

Comprehensive Performance Evaluation between Visual SLAM and LiDAR SLAM for Mobile Robots: Theories and Experiments

Enhancing the Versatility and Performance of Soft Robotic Grippers, Hands, and Crawling Robots Through Three-Dimensional-Printed Multifunctional Buckling Joints

Working Memory Ability Evaluation Based on Fuzzy Support Vector Regression

Imitation System of Humanoid Robots and Its Applications

A Comparison of Outdoor 3D Reconstruction between Visual SLAM and LiDAR SLAM

 

 

 

 

 

 

 

 

Ms. Yi-Tian Hong | Robot Localization | Best Researcher Award

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Ms. Yi-Tian Hong | Robot Localization | Best Researcher Award

Ms. Yi-Tian Hong, National Taiwan University / Department of Mechanical Engineering,Taiwan

Yi-Tian Hong was born in Penghu, Taiwan, in 2000. She embarked on her academic journey by earning a B.E. degree in the Department of Mechanical Engineering from National Taiwan University (NTU), Taiwan, in 2023. During her undergraduate studies, she laid a solid foundation in mechanical engineering, preparing herself for advanced research and professional endeavors.Currently, Yi-Tian Hong is pursuing an M.S. degree in the Department of Mechanical Engineering at NTU, Taiwan. Her focus is on conducting research in the Robotics Laboratory, where she specializes in fusion SLAM (Simultaneous Localization and Mapping) techniques designed for both indoor and outdoor environments. This research area involves advanced technologies aimed at enhancing the navigation and mapping capabilities of robotic systems in dynamic and varied settings.In 2023, Yi-Tian Hong achieved significant recognition for her scholarly contributions by receiving the Best Paper Award at The International Automatic Control Conference (CACS). This accolade underscores her dedication to academic excellence and her innovative contributions to the field of robotics and control systems.

Professional Profile

Education:

  • Bachelor’s Degree (B.E.) in Mechanical Engineering
    • Institution: National Taiwan University, Taiwan
    • Year: 2023
  • Master’s Degree (M.S.) in Mechanical Engineering
    • Institution: National Taiwan University, Taiwan
    • Currently pursuing

Work Experience:

Yi-Tian Hong’s professional experience is focused on research and development in the field of robotics, particularly in the area of Simultaneous Localization and Mapping (SLAM). Here are the highlights:

  • Research Assistant
    • Institution: Robotics Laboratory, National Taiwan University
    • Research Focus: Fusion SLAM for both indoor and outdoor environments

Achievements:

In 2023, Yi-Tian Hong was recognized for her academic excellence:

  • Best Paper Award
    • Event: The International Automatic Control Conference (CACS)

Yi-Tian Hong’s career trajectory demonstrates a strong commitment to advancing knowledge and innovation in robotics, particularly in enhancing SLAM technologies for various application scenarios.

Publications Notes:📄

Comprehensive Performance Evaluation between Visual SLAM and LiDAR SLAM for Mobile Robots: Theories and Experiments

Implementation of Engagement Detection for Human–Robot Interaction in Complex Environments

 

 

 

 

 

 

 

 

Dr. Yasir AlKubaisi | Robotics | Best Researcher Award

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Dr. Yasir AlKubaisi | Robotics | Best Researcher Award

Dr. Yasir AlKubaisi ,Dubai Academic Health Corporation, United Arab Emirates

Dr. Yassir Mahmood Al Kubaisi is an accomplished Electrical Engineer, born in Baghdad, Iraq, in 1971. He holds a Ph.D. in Electrical Engineering from Universiti Putra Malaysia (UPM), which he obtained in 2020. His dissertation focused on a “Gravitational Energy Harvesting System Based on Multistage Braking Technique for Multilevel Elevator Car Parking Building.” Dr. Al Kubaisi also earned his Master’s degree in Computer Engineering from the University of Technology in Baghdad in 2005 and his Bachelor’s degree in Electrical and Computer Engineering from the same institution in 1994.Dr. Al Kubaisi has extensive professional experience, currently serving as a Sustainable Engineer in the Corporate Environmental Health & Safety Department at Dubai Academic Health Corporation since 2017. His work involves studying and analyzing sustainable management practices, proposing solutions, and ensuring compliance with LEED and other sustainability requirements. He has spearheaded innovative projects such as the world’s first sustainable blood donation bus, the “Green Pavilion” project at GITEX 2019, and the “Green House” project at Al-Mizhar Medical Center, among others. His efforts have led to significant energy savings and have been recognized with several awards and honors.

 

Professional Profile

Education:

  • 🎓 PhD: University Putra Malaysia (UPM) – Serdang, Malaysia, Faculty of Engineering, Electrical Engineering, May 2020
    Dissertation: “Gravitational Energy Harvesting System Based on Multistage Braking Technique for Multilevel Elevator Car Parking Building”
    Committee: Professor Dr. Wan Zuha Wan Hasan (Chair), Professor Dr. Mohd. Zainal Abdul Kadir, Associate Professor Dr. Samsul Bahari B Mohd Noor
  • 🎓 MSc: University of Technology – Baghdad, Iraq, Computer Engineering, May 2005
    Thesis: “Design and Implementation Of Security System”
    Advisor: Professor Dr. Adukareem Abdulrahman
  • 🎓 BSc: University of Technology – Baghdad, Iraq, Electrical and Computer Engineering, Jun 1994

Research Interests:

  • 🌿 Sustainable and Renewable Energy
  • ⚡ Electrical and Control Engineering
  • 🤖 Robotics and Automation

Professional Experience:

  • 🌐 Corporate Environmental Health & Safety Dept., Dubai Academic Health Corporation, Dubai (2017 – Present):
    • Sustainable engineer in sustainable management section
    • Proposed and implemented innovative projects, such as the “Sustainable Blood Donation bus” and “Green Pavilion” at GITEX 2019
    • Conducted extensive studies and participated in various energy-saving projects
  • 🏥 Engineering Dept., Dubai Health Authority, Dubai (2009 – 2017):
    • Certified lecturer in sustainability and AI workshops
    • Directed construction operations, site supervision, and quality control
    • Conducted significant studies on load distribution and energy savings
  • 💻 Engineering Dept., Higher Education Computer Center, Iraq (1994 – 2007):
    • Oversaw design and implementation of technical solutions
    • Managed instructional designers and collaborated on broad solution pitches

Honors and Awards:

  • 🏆 Certification of Appreciation in various fields (2020, 2019, 2017, 2014)
  • 🌱 “Let’s Make This Summer Green 2020”
  • 💉 Improved blood donation service – Dubai Blood Donation Center 2019
  • 👏 Recognized for contributions to Corporate Environmental Health & Safety Dept. 2019
  • 🏅 Honored for efforts and cooperation in multiple departments

Corporate Social Responsibility:

  • 🦠 Volunteered for 6 months in the Covid-19 screening campaign
  • 💡 Suggested projects to reduce the spread of the virus

Publications Notes:📄

Maximizing solar energy utilization and controlling electrical consumption in domestic water heaters by integrating with aluminum reflector

Identifying the best forearm muscle to control soft robotic glove system by using a single sEMG channel

Battery Backup Power System for Electrical Appliances with Two Options of Primary Power Sources

Review of gravitational electric energy and application perspectives on modern buildings

Control mechanism of automated dropper system for electric power generation

Investigation on self energized automated multi levels car parking system