Prof Dr. Isak Shabani | Health tracking Award | Best Researcher Award

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Prof Dr. Isak Shabani | Health tracking Award | Best Researcher Award

Prof Dr. Isak Shabani, Faculty of Electrical and Computer Engineering, University of Prishtina, Albania 

Isak Shabani, born on November 3, 1976, in Albania, is a distinguished Full Professor of Computer Engineering at the University of Prishtina’s Faculty of Electrical and Computer Engineering. He obtained his Bachelor’s degree in Computing and Telecommunication in 2002, followed by a Master’s degree in Computer Engineering in 2007, and a Ph.D. in Computer Sciences in 2012 from the same institution. Prof. Shabani’s research interests encompass a wide range of topics, including big data analytics, artificial intelligence, and cloud computing, with a particular focus on applications in government and healthcare. He has published extensively, with 58 scientific papers, 28 textbook chapters, and 128 abstracts to his name. His notable contributions include studies on IoT devices for health monitoring, student dropout rates, and electronic voting systems utilizing blockchain technology.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award:

Prof. Isak Shabani, an accomplished academic and researcher in the field of Electrical and Computer Engineering, demonstrates a significant contribution to his discipline through extensive education, publications, and impactful research projects.

Education

  • PhD in Computer Sciences
    University of Prishtina, Faculty of Electrical and Computer Engineering
    Date: June 2, 2012
  • Magister of Computer Engineering
    University of Prishtina, Faculty of Electrical and Computer Engineering
    Date: July 7, 2007
  • Computing and Telecommunication
    University of Prishtina, Faculty of Electrical and Computer Engineering
    Date: April 17, 2002

Work Experience

  • Full Professor
    University of Prishtina, Faculty of Electrical and Computer Engineering “Hasan Prishtina”
    Date: September 10, 2022 – Present
  • [Previous Academic Positions]
    (Include any other relevant academic or professional roles, if applicable, detailing positions held, institutions, and dates of employment.)

Publication top Notes:

CITED:110
CITED:101
CITED:25
CITED:22
CITED:19
CITED:12

Prof. Jeong Tae Kim | Health Monitoring Award | Best Researcher Award

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Prof. Jeong Tae Kim | Health Monitoring Award | Best Researcher Award 

Prof. Jeong Tae Kim, Pukyong National University, South Korea

Dr. Jeong-Tae Kim is a distinguished professor and the BK21Four Chair at the Department of Ocean Engineering, Pukyong National University, South Korea. With a Ph.D. in Civil Engineering from Texas A&M University, Dr. Kim has led numerous innovative projects in structural health monitoring (SHM) and smart infrastructure. His research focuses on damage detection, system identification, and advanced SHM techniques including smart sensors and wireless networks. Since joining Pukyong National University in 1995, Dr. Kim has held significant roles such as head of the Department of Ocean Engineering and director of the Smart Infrastructure Technology Institute. He has been an editor-in-chief for Structural Monitoring and Maintenance and has published extensively, including six books and over 170 journal papers.

Professional Profile:

ORCID

Education

  • Ph.D. in Civil Engineering (Structural), Texas A&M University, USA, 1993
    Thesis: Assessment of Relative Impact of Model Uncertainty on the Accuracy of Nondestructive Damage Detection in Structures
    Advisor: Dr. N. Stubbs
  • M.S. in Civil Engineering (Structural), Kangwon National University, Korea, 1986
    Thesis: A Study on Fatigue Fracture Behavior of Butt Welded Joints of Steel Structures
    Advisor: Dr. Y. Chung
  • B.S. in Civil Engineering, Kangwon National University, Korea, 1984

Work Experience

  • 1995-present
    Professor, Department of Ocean Engineering, Pukyong National University, Korea
  • 2014-present
    Editor-in-Chief, Structural Monitoring and Maintenance, International Journal, Techno-Press, Korea
  • 2016-present
    Director, Smart Infrastructure Technology Institute (SITI), Pukyong National University, Korea
  • 2017-present
    Registered Trustee, International Association of Structural Engineering and Mechanics, Korea
  • 2020-2024
    Program Manager, BK21Four Program “Smart Marine-City Infrastructure for Disaster Mitigation and Prevention”, Granted by Ministry of Education, Korea
  • 2016-2020
    Board Member, Construction Technology Reviewing Committee, Busan Metro City, Korea
  • 2014-2016
    Department Head, Ocean Engineering Department, Pukyong National University, Korea

Awards and Achievements

  • Commendation from Minister of Education (Deputy Prime Minister), Korea, 2016
  • PKNU Academic Award, Pukyong National University, Korea, 2015
  • Premier Professor Awards, Pukyong National University, Korea, 2008, 2009, 2011-2013
  • Researcher of the Year, Pukyong National University, Korea, 2005 & 2020
  • Outstanding Contribution Award, Korean Society of Ocean Engineering, 1997
  • Member of the Korean Academy of Government-Funded Scholars, 2010-present

Publication top Notes:

 

Integrating the Capsule-like Smart Aggregate-Based EMI Technique with Deep Learning for Stress Assessment in Concrete

Structural Condition Assessment of Steel Anchorage Using Convolutional Neural Networks and Admittance Response

Smart Aggregate-Based Concrete Stress Monitoring via 1D CNN Deep Learning of Raw Impedance Signals

Capsule-Like Smart Aggregate with Pre-Determined Frequency Range for Impedance-Based Stress Monitoring

Raspberry Pi Platform Wireless Sensor Node for Low-Frequency Impedance Responses of PZT Interface

Corroded Bolt Identification Using Mask Region-Based Deep Learning Trained on Synthesized Data

 

Mr. Guylian Stevens | Health Monitoring Award | Young Scientist Award

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Mr. Guylian Stevens | Health Monitoring Award | Young Scientist Award

Mr. Guylian Stevens, Universiteit Gent, Belgium

Guylian Stevens is a dedicated Biomedical Engineer and Health Innovation & Connected Care Consultant with a robust background in biomedical engineering and civil engineering. Based in Zottegem, Belgium, Guylian is currently pursuing a Ph.D. in Biomedical Engineering, expected to complete in 2024. With a Master’s degree in Biomedical Engineering from UGent and another in Industrial Engineering from KU Leuven, he has garnered substantial experience in his field. His professional journey includes roles as a Care Innovation Engineer at H3CareSolutions and a Project Engineer at AZ Maria Middelares Hospital. Guylian’s research contributions include notable publications on healthcare technologies and data-driven ecosystems, reflecting his expertise in health data integration and connected care. His honors include being a

Professional Profile:

ORCID

 

Education:

  • PhD in Biomedical Engineering (ongoing) – UGent (2021–2024)
  • Master of Science in Civil Engineering, Biomedical – UGent (2018 – 2020)
  • Master of Science in Industrial Engineering, Electrotechnics – KU Leuven (2015 – 2016)

Professional Experience:

  • Care Innovation Engineer at H3CareSolutions, Gent (2021 – Present)
  • Project Engineer at AZ Maria Middelares Hospital, Gent (2020 – 2021)
  • Scientific Researcher at KU Leuven (2016 – 2018)

Honours:

  • Elective Pitch Finalist – Janssen Pharmaceutica-VLIR/ULiège Interactive Career Day Data Sciences (2021)
  • 1st Place – National Day of Biomedical Engineering, Annual Thesis Poster and Presentation Contest (2020)

Extra Courses:

  • Web Development (2023)
  • Data Analytics in Healthcare and Connected Care (2021)
  • General Part Trainer B – Flemish Trainer School (2018)

Key Skills:

  • Hard Skills: Finite Element Simulations (Abaqus), Musculoskeletal Modelling (OpenSim), Gait Analysis (Visual 3D), Computational Fluid Dynamics (Ansys), Motion Capture (Qualysis), Flutter Development, Dart, Python, Microsoft Office, etc.
  • Soft Skills: Project Management, Pitching, Presentations, Public Speaking

Publication top Notes:

A Guide to Measuring Heart and Respiratory Rates Based on Off-the-Shelf Photoplethysmographic Hardware and Open-Source Software

A human-centered, health data-driven ecosystem