Mr. Foad Zahedi | Digital Twin Awards | Best Researcher Award

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Mr. Foad Zahedi | Digital Twin Awards | Best Researcher AwardĀ 

Mr. Foad Zahedi, Washington State University, Iran

Foad Zahedi is a seasoned Procurement Director with over 18 years of comprehensive experience in procurement management, technical management, and contract management across a diverse range of projects, including multipurpose complexes, dams, roads, tunnels, and industrial structures. Based in Tehran, Iran, he has successfully led procurement and purchase engineering efforts to ensure optimal logistics, quality, and cost-effectiveness. Foad’s expertise encompasses tender management, contract oversight, and project management, where he skillfully navigates the complexities of EPC, PC, and E projects from both the employer and contractor perspectives. He holds a Masterā€™s degree in Civil Engineering (Construction Management) and another Masterā€™s in Civil Engineering (Marine Structures Engineering) from Islamic Azad University, along with a Bachelorā€™s degree in Civil Engineering. A certified Project Management Professional (PMP) and a Professional Engineer, Foad is proficient in areas such as cost estimation, value engineering, and building information modeling. His strategic insights and consultancy roles for boards and CEOs have been pivotal in aligning project goals with organizational objectives.

Professional Profile:

GOOGLE SCHOLAR

Research for Best Researcher Award – Foad Zahedi

Profile Overview: Foad Zahedi has over 18 years of extensive experience in procurement and project management across a variety of large-scale civil engineering projects, including multipurpose complexes, dams, and tunnels. His diverse skill set encompasses technical management, contract management, and procurement engineering, showcasing his ability to lead complex projects effectively.

Education šŸŽ“

  • M.S. Civil Engineering (Construction Management)
    Islamic Azad University of Central Tehran Branch, Tehran, IR
    GPA: 3.53 | Year: 2020
  • M.S. Civil Engineering (Marine Structures Engineering)
    Islamic Azad University of Science and Research Branch, Tehran, IR
    GPA: 3.72 | Year: 2016
  • B.S. Civil Engineering
    Islamic Azad University of Shahr-e-kord Branch, Shahrekord, IR
    Year: 2004

Work Experience šŸ’¼

  • Procurement Director
    Iran Mall, Tehran, Iran
    Years: 20XX – Present

    • Led procurement and purchase engineering management for various complex projects, ensuring high quality and timely logistics support.
    • Managed the technical office, handling invoices, quantity surveying, and as-built drawings in EPC, PC, and E projects.
    • Conducted national and international tenders, preparing comprehensive technical and financial submissions.
    • Oversaw contract management in diverse roles (Employer, Contractor, Consultant) for EPC, PC, and E projects.
    • Provided consultancy to boards and CEOs, developing strategic plans to achieve project goals.

Achievements šŸŒŸ

  • Successfully managed procurement for multiple large-scale projects, including multipurpose complexes, dams, and industrial structures.
  • Developed effective strategies for cost estimation and value engineering, resulting in significant savings for projects.
  • Implemented advanced Building Information Modelling (BIM) and soil-structure interaction modelling techniques to enhance project outcomes.

Awards and Honors šŸ†

  • Project Management Professional (PMP)
    Licensure #: 3203610 | Year: 2022
  • Professional Engineer (Grade 2: Supervision)
    Licensure #: 17-31-12174 | Year: 2014
  • Professional Engineer (Grade 1: Construction)

PublicationĀ Top Notes:

Global BIM Adoption Movements and Challenges: An Extensive Literature Review
Development of a BIM Implementation Roadmap: The Case of Iran
Robot-BIM integration for underground canals life-cycle management
Digital Twins in the Sustainable Construction Industry
BIM Implementation for PMBOK Enhancement in the Construction Industry

Prof. Dr. Mahmoud Abulmeaty | Remotecare Awards | Best Researcher Award

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Prof. Dr. Mahmoud Abulmeaty | Remotecare Awards | Best Researcher AwardĀ 

Prof. Dr. Mahmoud Abulmeaty, King Saud University, Saudi Arabia

Mahmoudd Mustafa Ali Abulmeaty is an esteemed Egyptian academic and physician specializing in clinical nutrition and metabolism. Dakahlia Governorate, Egypt, he earned his M.B. B.Ch. from Zagazig University in 2003 with honors. He further pursued advanced studies, obtaining a Master’s degree in Basic Medical Sciences (Physiology) in 2007 and an M.D. in Medical Physiology in 2012, both from Zagazig University. Abulmeaty has also earned multiple certifications, including those in obesity management, acupuncture, and clinical nutrition. He has held various academic positions, starting as an intern at Zagazig University Hospitals in 2004, then progressing through roles as demonstrator, assistant lecturer, and clinical nutritionist. In 2012, he joined King Saud University in Riyadh, Saudi Arabia, where he has served as an assistant professor, associate professor, and is currently a professor of clinical nutrition and metabolism. His professional expertise extends to weight reduction clinics and therapeutic nutrition, where he also serves as a physician consultant. With a wealth of experience and expertise in obesity management and clinical nutrition, Abulmeaty is recognized for his contributions to both research and clinical practice in these fields.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award ā€“ Dr. Mahmoudd Mustafa Ali Abulmeaty

Dr. Mahmoudd Mustafa Ali Abulmeaty stands out as a distinguished academic and researcher in the field of clinical nutrition, obesity management, and metabolism. His academic qualifications, extensive experience, and significant contributions to the medical and scientific community make him a strong contender for the Best Researcher Award.

Education:

  • October 2003: M.B. B.CH. (Total grade: Excellent with Honors), Faculty of Medicine, Zagazig University, Egypt
  • November 2007: M.Sc. in Basic Medical Sciences (Physiology), Faculty of Medicine, Zagazig University, Egypt
  • August 2008: Professional Certificate in Obesity Management (Children & Adults), Cairo University, Egypt
  • January 2009: Professional Certificate in Acupuncture, Zagazig University, Egypt
  • November 2009: Professional Certificate in Office Management of Obesity, American Medical Association, USA
  • April 2011: Diploma in Endocrinology and Metabolism, Faculty of Medicine for Girls, Al Azhar University, Egypt
  • July 2011: ESPEN Diploma in Clinical Nutrition & Metabolism, Faculty of ESPEN, European Union
  • March 2012: M.D. in Medical Physiology, Zagazig University, Egypt
  • September 2012: Diploma in Clinical Nutrition, AICPD, Egypt
  • November 2017: Fellowship FACN, American College of Nutrition, USA

Work Experience:

  • March 2004: Intern at Zagazig University Hospitals
  • July 2005: Demonstrator of Physiology, Faculty of Medicine, Zagazig University
  • April 2008: Assistant Lecturer in the Endocrine Research Unit, Physiology Department, Faculty of Medicine, Zagazig University
  • July 2011: Clinical Nutritionist in Obesity Management and Research Unit, Faculty of Medicine, Zagazig University
  • April 2012: Lecturer in Medical Physiology Department and Obesity Management and Research Unit, Faculty of Medicine, Zagazig University
  • September 2012: Assistant Professor, Clinical Nutrition Program, and Senior Registrar, Weight Reduction Clinic, Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University
  • January 2018ā€“2022: Associate Professor of Clinical Nutrition and Metabolism, Clinical Nutrition Program, and Physician Consultant at Primary Care Clinic and Therapeutic Nutrition Clinic, Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University
  • June 2022ā€“Present: Professor of Clinical Nutrition and Metabolism, Clinical Nutrition Program, and Physician Consultant at Primary Care Clinic and Therapeutic Nutrition Clinic, Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University
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Mr. Mohammad Ahmadi | physiological Sensors | Best Researcher Award

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Mr. Mohammad Ahmadi | physiological Sensors | Best Researcher AwardĀ 

Mr. Mohammad Ahmadi, University of Auckland, New Zealand

Ted Ahmadi is a seasoned game developer based in Toronto, with a strong focus on designing Mixed/Augmented/Virtual Reality (MR/AR/VR) games using Unity3D and C#. With over 6 years of experience, he is proficient in utilizing the Microsoft Mixed Augmented Reality Toolkit (MRTK) and has expertise in designing Mixed Reality games for platforms such as Magic Leap, Vive/Vive Pro Eye, Oculus Quest/Quest 2&3/Quest Pro, HP Omnicept, Hololens 2, and Apple Vision Pro. Ted’s career spans across various aspects of game development, including 2D game design for Android using Unity3D, game networking with Photon and Ubiq, and integrating technologies like OpenGL, Blender, and iClone 3D animation toolkit. He is also skilled in using Leap Motion for enhancing interactive experiences in game applications. Beyond game development, Ted is proficient in C++/C# programming across different applications and has experience in Agile/Rapid development methodologies, Waterfall, and Continuous Integration. His expertise extends to embedded systems such as ROS in Linux/Windows, particularly in VR applications for robotics, and enterprise web server applications where he excels in Java programming, software optimization, debugging, and troubleshooting.

Professional Profile:

ORCID

 

Education

University of Auckland

  • Bachelor of Science in Computer Science
    Date: Graduated in 2018

Work Experience

Design School, University of Auckland
Teaching and Tutoring Assistant
July 2022 ā€“ Nov 2022

  • Responsibilities: Assisted in teaching and tutoring the course “Designing Mix Realities” at the School of Design.
  • Skills: Unity3D, Blender (3D modeling and animation for rapid prototyping), Adobe Aero (3D modeling).

Skills

  • Game Design: Unity3D, MRTK and XR SDK, AR Kit, AR Core, Leap Motion, OpenGL, Vuforia, Blender, iClone 7.
  • Programming: C++/C#, Java, JavaScript, PHP/CSS/HTML, jQuery, mySQL, JSON/XML, Matlab.
  • HMD: Vive/Vive Pro Eye, Oculus Quest/Quest 2/Quest 3/Quest Pro, HP Omnicept, Magic Leap, Hololens 2, Apple Vision Pro.
  • API: WebGL, OpenGL.
  • Web API: .Net/ASP.Net MVC.
  • J2EE API: Java Servlet and EJB.
  • Version Control: git and GitHub.
  • OS: Linux, Windows.
  • Embedded Systems: ROS.

Employment History

šŸ« Design School, University of Auckland
Teaching and Tutoring Assistant (July 2022 ā€“ Nov 2022)

  • Teaching and tutoring assistant for the course ā€œDesigning Mix Realitiesā€ at the school of design.
  • Skills: Unity3D, Blender (3D modeling and animation for rapid prototyping), Adobe Aero (3D modeling).

Publication top Notes:

EEG, Pupil Dilations, and Other Physiological Measures of Working Memory Load in the Sternberg Task

Cognitive Load Measurement with Physiological Sensors in Virtual Reality during Physical Activity

Comparing Performance of Dry and Gel EEG Electrodes in VR using MI Paradigms

PlayMeBack – Cognitive Load Measurement using Different Physiological Cues in a VR Game

Prof. Shing-Hong Liu | Biomedical Award | Best Researcher Award

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Prof. Shing-Hong Liu | Biomedical Award | Best Researcher AwardĀ 

Prof. Shing-Hong Liu, Chaoyang University of Technology, Taiwan

Shing-Hong Liu is an esteemed academic and researcher in the field of biomedical engineering and computer science. He obtained his B.S. degree in Electronic Engineering from Feng-Jia University, Taiwan, in 1990, followed by an M.S. degree in Biomedical Engineering from National Cheng-Kung University in 1992. In 2002, he earned his Ph.D. from the Department of Electrical and Control Engineering at National Chiao-Tung University, Taiwan. Since August 1994, Dr. Liu has been actively involved in academia, initially as a Lecturer in the Department of Biomedical Engineering at Yuanpei University, Taiwan. He progressed to become an Associate Professor from 2002 to 2008. Currently, he holds the position of Distinguished Professor in the Department of Computer Science and Information Engineering at Chaoyang University of Technology. Dr. Liu’s research focuses on biomedical signal processing, artificial intelligence applications in mobile health (mHealth), and the design of biomedical instruments. He has been recognized for his contributions, being named one of the World’s Top 2% Scientists in 2020. His research projects have received substantial funding, totaling NT$36,329,914, and he has authored 59 papers in SCI journals.

 

Professional Profile:

ORCID

 

Education:

  • B.S. in Electronic Engineering
    • Feng-Jia University, Taizhong, Taiwan, R.O.C.
    • Year of Completion: 1990
  • M.S. in Biomedical Engineering
    • National Cheng-Kung University, Tainan, Taiwan, R.O.C.
    • Year of Completion: 1992
  • Ph.D. in Electrical and Control Engineering
    • National Chiao-Tung University, Hsinchu, Taiwan, R.O.C.
    • Year of Completion: 2002

Work Experience:

  • Lecturer
    • Department of Biomedical Engineering, Yuanpei University, Hsinchu, Taiwan, R.O.C.
    • August 1994 – 2002
  • Associate Professor
    • Department of Biomedical Engineering, Yuanpei University, Hsinchu, Taiwan, R.O.C.
    • 2002 – 2008
  • Distinguished Professor
    • Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taiwan, R.O.C.
    • 2020 – Present

Achievements:

Shing-Hong Liu has been recognized as one of the Worldā€™s Top 2% Scientists in 2020. His research interests focus on biomedical signal processing, artificial intelligence for mHealth applications, and the design of biomedical instruments. He has successfully led projects with a total budget of NT 36,329,914 and has published 59 papers in SCI journals.

Publication top Notes:

Predicting Gait Parameters of Leg Movement with sEMG and Accelerometer Using CatBoost Machine Learning

Human Activity Recognition Based on Deep Learning and Micro-Doppler Radar Data

Estimation of Gait Parameters for Adults with Surface Electromyogram Based on Machine Learning Models

A Wearable Assistant Device for the Hearing Impaired to Recognize Emergency Vehicle Sirens with Edge Computing

A Wearable Assistant Device for Hearing Impaired to Recognize Emergency Vehicle Sirens with Edge Computing

Best Medical Sensing Technology

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Introduction Best Medical Sensing Technology

The Best Medical Sensing Technology Award recognizes groundbreaking innovations that revolutionize medical sensing, enabling accurate, non-invasive, and real-time monitoring of patient health parameters. This prestigious award celebrates advancements that have the potential to significantly improve healthcare outcomes globally.

About the Award:
The Best Medical Sensing Technology Award is open to individuals, research teams, and companies worldwide that have developed cutting-edge technologies in medical sensing. Applicants must demonstrate exceptional creativity, innovation, and impact in the field of medical sensing.

Eligibility:
There are no age limits for applicants. The award is open to researchers, engineers, inventors, and entrepreneurs who have made significant contributions to the field of medical sensing. Applicants must have a proven track record of excellence in their respective fields.

Qualifications:
Applicants must have developed a medical sensing technology that demonstrates exceptional innovation, effectiveness, and potential for improving healthcare outcomes. The technology should be supported by strong scientific evidence and have the potential for widespread adoption in the medical field.

Publications:
Applicants are encouraged to submit any relevant publications, research papers, or patents that support their application. These publications should demonstrate the novelty and impact of the medical sensing technology.

Evaluation Criteria:
Applications will be evaluated based on the following criteria:

  • Innovation and creativity of the medical sensing technology
  • Impact on healthcare outcomes
  • Scientific rigor and validity of the technology
  • Potential for widespread adoption
  • Overall quality and clarity of the application

Submission Guidelines:
Applicants must submit a detailed description of their medical sensing technology, along with any supporting documents, such as publications, patents, or videos. The submission should clearly demonstrate the innovation, effectiveness, and potential impact of the technology.

Recognition:
The winner of the Best Medical Sensing Technology Award will receive a prestigious award certificate, recognition on our website and social media channels, and an opportunity to present their technology at a major medical conference.

Community Impact:
The award-winning medical sensing technology should demonstrate a positive impact on the healthcare community, improving patient outcomes, reducing healthcare costs, or advancing medical research.

Biography:
Applicants should provide a brief biography highlighting their relevant experience and achievements in the field of medical sensing.

Abstract:
A concise abstract summarizing the key features and benefits of the medical sensing technology should be included in the application.

Supporting Files:
Applicants may include any additional supporting files, such as videos, images, or technical specifications, to enhance their application.