Dr. Ishtiaq Khan | Fault Diagnosis Award | Best Researcher Award

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Dr. Ishtiaq Khan | Fault Diagnosis Award | Best Researcher Award

Dr. Ishtiaq Khan, University of Genova, Italy

Ishtiaq Ahmad Khan is a dedicated PhD researcher at the University of Genoa in Italy, affiliated with the DITEN Department since November 2022. He has extensive experience in academia, having served as a lecturer at UET Peshawar Campus-III since December 2019, and previously held positions as an assistant professor and lecturer at the Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS) and the Baluchistan University of Engineering & Technology Khuzdar (BUETK). Ishtiaq began his career as a lab engineer at the Gandhara Institute of Science & Technology in Peshawar. He earned his Master of Science in Electrical Engineering from BUITEMS, where he graduated with a CGPA of 3.87, focusing his thesis on “Automatic Node-switching in Power Utility Company Network for Blackout Avoidance.” A skilled communicator fluent in English, Urdu, and Pashto, he possesses strong teaching and practical expertise in Electrical Power Engineering. His technical skills include proficiency in Microsoft Office, Electrical Transient and Analysis Program (ETAP), and various engineering software tools. Ishtiaq’s commitment to education is reflected in his active participation as a resource person for training programs in areas such as uninterruptible power supply configuration and transformer reassembly.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Ishtiaq Ahmad Khan

Personal Information
Ishtiaq Ahmad Khan is a dedicated researcher and educator currently pursuing his PhD at the University of Genoa in Italy, while simultaneously serving as a lecturer at UET Peshawar Campus-III in Pakistan. His extensive background in Electrical Engineering, coupled with significant teaching and research experience, positions him as a strong candidate for the Best Researcher Award.

Education

  • PhD Researcher
    University of Genoa, DITEN Department, Genova (GE), Italy
    Duration: 01/11/2022–Present
  • Master of Science in Electrical Engineering
    Baluchistan University of Information Technology Engineering and Management Sciences, Quetta (Pakistan)
    CGPA: 3.87/4
    Graduation Thesis Title: Automatic Node-switching in Power Utility Company Network for Blackout Avoidance
    Duration: 04/04/2015–14/12/2017
  • Bachelor of Science in Electrical Engineering
    University of Engineering & Technology Peshawar, Peshawar (Pakistan)
    CGPA: 2.6/4
    Duration: 04/10/2004–30/04/2009
  • Professional Development Training Program
    Baluchistan University of Information Technology, Engineering & Management Sciences, Pakistan, Quetta (Pakistan)
    Duration: 15/01/2015–10/02/2015
  • Training Sessions:
    • Assembling & Configuration of Uninterruptible Power Supply (UPS) (22/12/2017)
    • Re-assembling & Configuration of Transformers (30/03/2016–01/04/2016)
    • Repair of AC Motors, Pressure Pumps and Home Appliances (03/12/2015)

Work Experience

  • PhD Researcher
    University of Genoa, DITEN Department, Genova (GE), Italy
    Duration: 01/11/2022–Present
  • Lecturer
    UET Peshawar Campus-III, Bannu, Bannu (Pakistan)
    Duration: 24/12/2019–Present
  • Assistant Professor
    Baluchistan University of Information Technology Engineering and Management Sciences (BUITEMS), Quetta (Pakistan)
    Duration: 14/02/2018–23/12/2019
  • Lecturer
    Baluchistan University of Information Technology Engineering and Management Sciences (BUITEMS), Quetta (Pakistan)
    Duration: 09/01/2015–13/02/2018
  • Lecturer
    Baluchistan University of Engineering & Technology Khuzdar (BUETK), Khuzdar (Pakistan)
    Duration: 16/06/2011–08/01/2015
  • Lab Engineer
    Gandhara Institute of Science & Technology (GIST) Peshawar, Peshawar (Pakistan)
    Duration: 19/10/2009–15/06/2011

Publication top Notes:

Partial Discharge Inception Voltage Monitoring of Enameled Wires under Thermal Stress over Time

 

 

 

Assist Prof Dr. Hwa-Dong Liu | Signal Processing | Best Researcher Award

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Assist Prof Dr. Hwa-Dong Liu | Signal Processing | Best Researcher Award

Assist Prof Dr. Hwa-Dong Liu, Undergraduate Program of Vehicle and Energy Engineering, National Taiwan Normal University, Taiwan

Hwa-Dong Liu is an Assistant Professor at National Taiwan Normal University (NTNU) in Taipei, Taiwan, specializing in power electronics, microcontrollers, rail vehicle power systems, and solar power systems. He holds a Ph.D. in Electrical Engineering from National Taiwan University of Science and Technology (NTUST). His research interests include the development of advanced power converters, control strategies for renewable energy systems, and innovative solutions for electric vehicle charging. Dr. Liu has authored numerous papers in reputable journals, with a focus on improving the efficiency and performance of power electronic systems and renewable energy technologies. His recent work includes contributions to energy management systems, high-gain boost converters, and novel MPPT algorithms for solar power generation.

Professional Profile:

Summary of Suitability for Best Researcher Award 

Hwa-Dong Liu has expertise in several cutting-edge fields including power electronics, microcontrollers, rail vehicle power systems, and solar power systems. This diversity indicates a broad impact on multiple important areas of research.

Education

  • Ph.D. in Electrical Engineering from National Taiwan University of Science and Technology (NTUST).

Work Experience

  • Assistant Professor at National Taiwan Normal University (NTNU).

Expertise

  1. Power Electronics
  2. Microcontroller
  3. Rail Vehicle Power Systems
  4. Solar Power Systems

Publication top Notes:

An improved solar step-up power converter for next-generation electric vehicle charging

Hybrid Management Strategy for Outsourcing Electromechanical Maintenance and Selecting Contractors in Taipei MRT

An Improved High Gain Continuous Input Current Quadratic Boost Converter for Next-Generation Sustainable Energy Application

Novel MPPT algorithm based on honey bees foraging characteristics for solar power generation systems

High-Voltage Autonomous Current-Fed Push-Pull Converter with Wireless Communication Applied to X-Ray Generation

 

 

 

Dr. You Hyun Park | Noise Filtering Award | Young Scientist Award

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Dr. You Hyun Park | Noise Filtering Award | Young Scientist Award

Dr. You Hyun Park, Yonsei University Wonju College of Medicine, South Korea

YouHyun Park is a researcher at the National Health BigData Clinical Research Institute, Yonsei University Wonju, and a member of the Industry-Academic Cooperation Foundation at Yonsei University. He earned his Ph.D. in Medical Information and Statistics from Yonsei University in August 2023, following a Master of Public Health and a Bachelor’s degree in Public Health and Information and Statistics from the same institution. His research focuses on biostatistics, public health, and the application of AI algorithms for health management. Park leads several significant projects, including the development of predictive models for preventable deaths and environmental hazard management for vulnerable groups. His work has been supported by prominent funding agencies, including the National Research Foundation of Korea and the Korea Environmental Industry & Technology Institute. His projects also encompass self-health monitoring services, public healthcare cooperation systems, and the analysis of health data for predicting factors in diseases like Parkinson’s and early childhood caries.

Professional Profile:

ORCID

Summary of Suitability for Young Scientist Award: 

YouHyun Park stands out as an exemplary candidate for the Young Scientist Award due to his significant contributions to the fields of biostatistics, public health, and AI algorithms in health management. Here are the key reasons why he is a strong contender:

Education

  • PhD in Medical Information and Statistics
    Graduate School of Yonsei University
    September 2020 – August 2023
  • Master of Public Health
    Graduate School of Yonsei University
    March 2018 – February 2020
  • Bachelor of Public Health
    Yonsei University
    March 2014 – February 2018
  • Bachelor of Information and Statistics
    Yonsei University
    March 2014 – February 2018

Work Experience

  • National Health BigData Clinical Research Institute, Yonsei University
    Industry-Academic Cooperation Foundation, Wonju, Republic of Korea
    Current Position
  • Department of Medical Informatics and Biostatistics, Yonsei University Graduate School
    Seoul, Republic of Korea
    Current Position
  • Principal Investigator
    • Development of a Predictive Model for Preventable Death in High-Risk Groups of Solitary Deaths Based on Explainable AI for Single-Person Households
      May 2024 – April 2029
      Funding Agency: National Research Foundation of Korea
  • Researcher
    • Development of a Customized Environmental Hazard Management Service Model for Sensitive and Vulnerable Groups
      April 2021 – December 2024
      Funding Agency: Korea Environmental Industry & Technology Institute
    • One-Person Household Self-Health Monitoring Service Model Development
      June 2022 – August 2023
      Funding Agency: National Research Foundation of Korea

Publication top Notes:

Factors Predicting Older People’s Acceptance of a Personalized Health Care Service App and the Effect of Chronic Disease: Cross-Sectional Questionnaire Study

Association between smoking and all-cause mortality in Parkinson’s disease

Evaluation of an air quality warning system for vulnerable and susceptible individuals in South Korea: an interrupted time series analysis

Association Between Smoking and All-Cause Mortality in Parkinson’s Disease

Digital Biomarkers in Living Labs for Vulnerable and Susceptible Individuals: An Integrative Literature Review

 

Mrs. Ainhoa Osa Sanchez | Signal processing | Best Researcher Award

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Mrs. Ainhoa Osa Sanchez | Signal processing | Best Researcher Award 

Mrs. Ainhoa Osa Sanchez, EVIDA Research Group, University of Deusto, Spain

Ainhoa Osa Sánchez is a dedicated researcher specializing in sensors for biological applications. Born on April 11, 1999, she completed her degree in Industrial Electronics and Automation Engineering from the University of Deusto in 2021 and earned a Master’s degree in Industry 4.0 from the International University of La Rioja in 2022. Since 2022, she has been an active member of the eVIDA group, where she initially joined as a researcher in 2020.During her academic and professional journey, Ainhoa has collaborated in various capacities, including internships and research positions, focusing on advanced technological solutions. Her master’s thesis revolved around telemonitoring vital signs at home for the elderly, utilizing IoT and 3D design with a serverless architecture for data storage and visualization via Amazon Web Services.Currently, Ainhoa is pursuing her doctorate at the University of Deusto. Her research is centered on using portable EEG and NIR sensor signals for pain detection case studies, incorporating artificial intelligence models. This work has significant implications for elderly care, chronic pain, and fibromyalgia. She is also engaged in a collaborative project with the University of Louisville and Alamein International University to develop a neural network aimed at identifying the degree of macular degeneration through image analysis.

Professional Profile:

GOOGLE SCHOLAR

Education

Degree: Master’s Degree in Industry 4.0
University / Country: International University of La Rioja
Year: 2022

Degree: Degree in Industrial Electronics and Automatic Engineering
University / Country: University of Deusto
Year: 2021

Skills and Abilities:

  • Advanced understanding of computing, IoT, and artificial intelligence
  • Ability to use data structures to improve programming results
  • Excellent knowledge of several programming languages, including Java, C, and Python
  • Very good knowledge of big data and cybersecurity
  • Experience using and analyzing data from wearable biomedical devices such as EEG, fNIRS, and EMG

 Relevant Accomplishments

C.1. Most Important Publications in National or International Peer-Reviewed Journals, Books, and Conferences

Scientific Papers:

  1. Ainhoa Osa-Sanchez, Oscar Jossa-Bastidas, Amaia Mendez-Zorrilla, Ibon Oleagordia-Ruiz, Begonya Garcia-Zapirain. 2023. “Design of intelligent monitoring of loneliness in the elderly using a serverless architecture with real-time communication API.” Technology and Health Care, IOS Press. 31-6, pp. 2401-2409.
  2. Jossa-Bastidas, Oscar, Osa Sanchez, Ainhoa, Bravo-Lamas, Leire, Garcia-Zapirain, Begonya. 2023. “IoT System for Gluten Prediction in Flour Samples Using NIRS Technology, Deep and Machine Learning Techniques.” Electronics, 12-8. ISSN 2079-9292.

Publication top Notes:

IoT system for gluten prediction in flour samples using nirs technology, Deep and Machine Learning Techniques

CITED : 1

Design and implementation of food quality system using a Serverless Architecture: case study of gluten intolerance

CITED : 1

Gluten Analysis Composition Using Nir Spectroscopy and Artificial Intelligence Techniques

CITED : 1

Design of intelligent monitoring of loneliness in the elderly using a serverless architecture with real-time communication API