Prof. Ying Lau | Smart Education | Best Researcher Award

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Prof. Ying Lau | Smart Education | Best Researcher AwardΒ 

Prof. Ying Lau, The Chinese University of Hong Kong, Hong Kong

Professor Lau Ying is a distinguished nursing scholar and educator currently serving as a Professor at The Nethersole School of Nursing, The Chinese University of Hong Kong. She also holds honorary and visiting professorships at West China Second University Hospital, Sichuan University, and the Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine. A Hong Kong citizen, she has an extensive academic background, earning a Ph.D. from the University of Hong Kong, where she received the Sir Edward Youde Memorial Fellowship, and multiple nursing degrees from prestigious institutions, including Monash University. Her expertise spans nursing education, midwifery, psychiatric nursing, and lactation consulting, with professional licensure in Hong Kong and Singapore. An Academy Fellow of the American Academy of Nursing, she has received numerous accolades, including the NUHS Research-in-Education Excellence Award and multiple teaching excellence awards. With a strong commitment to advancing nursing education and research, Professor Lau has significantly contributed to healthcare through her scholarly work and leadership in academia.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher AwardΒ 

Prof. LAU Ying is an exceptional candidate for the Best Researcher Award, demonstrating outstanding contributions to nursing research, education, and clinical practice. Her impressive academic background, extensive research achievements, leadership roles, and international recognition make her highly suitable for this honor.

πŸŽ“ Education

πŸ“ Doctor of Philosophy (Ph.D.) (2003–2006)
πŸ›οΈ University of Hong Kong, Department of Social Work and Social Administration, Hong Kong
πŸ† Best Thesis Nomination, Winner of Sir Edward Youde Memorial Fellowships, Postgraduate Scholarship Award

πŸ“ Master of Nursing in Advanced Practice (2000–2003)
πŸ›οΈ University of Hong Kong, Department of Nursing Studies, Hong Kong
πŸ… Top Student

πŸ“ Bachelor of Nursing (2nd Upper Honours) (1997–2000)
πŸ›οΈ University of Hong Kong, Department of Nursing Studies, Hong Kong
πŸ† Winner of the Writing Competition 2011, Hong Kong Nursing Association

πŸ“ Bachelor of Health Science (Nursing) (1994–1997)
πŸ›οΈ Monash University, Australia

πŸ“ Certificate in Psychiatric Specialty (1995)
πŸ›οΈ The Nethersole School of Nursing, Hospital Authority, Hong Kong

πŸ“ Certificate in Midwifery (1993–1994)
πŸ›οΈ The Nethersole School of Nursing, Hong Kong

πŸ“ Diploma in General Nursing (1988–1991)
πŸ›οΈ School of Nursing, Kwong Wah Hospital, Hong Kong

πŸ’Ό Work Experience

πŸ‘©β€πŸ« Professor (Aug 2023 – Present)
πŸ›οΈ The Nethersole School of Nursing, The Chinese University of Hong Kong

πŸŽ“ Honorary Professor
πŸ›οΈ West China Second (Women and Children) University Hospital, Sichuan University

πŸŽ“ Visiting Professor (Sep 2024 – Aug 2025)
πŸ›οΈ Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine

πŸ“Œ Past Positions
πŸ”¬ National University of Singapore – Multiple academic and research roles
🩺 Macao Polytechnic Institute – Distinguished Teaching in Degree Programmes

πŸ† Awards & Honors

πŸ… NUHS Research-in-Education Excellence Award (2022) – National University Health System
πŸ… Long Service Award (5 Years) (2019) – National University of Singapore
πŸ… Teaching Excellence Award (AY2016/2017) (2018) – Yong Loo Lin School of Medicine, NUS
πŸ… Organizational Excellence in Honours Thesis Marking Process (2018) – NUS
πŸ… Degree Programme Distinguished Teacher Award (2009) – Macao Polytechnic Institute
πŸ… Scholarship for Quality of Life Research Conference (2006) – Hong Kong Society for Quality of Life
πŸ… Sir Edward Youde Memorial Fellowship/Scholarship (2005/2006) – Sir Edward Youde Memorial Fund Council, Hong Kong
πŸ… Ph.D. Postgraduate Scholarship (2003–2006) – University of Hong Kong
πŸ… Winner, Writing Competition (2001) – College of Nursing, Hong Kong

PublicationΒ Top Notes:

Evaluation of Psychological Readiness Enhancement for Transition to Professional Practice (PRE-TTP) programme among final year nursing students: A sequential mixed methods design

Deep learning analytics and application for education data mining

Investigation of smartphone addiction, cyberbullying and lifestyle behaviors of emerging adults on psychological and learning outcomes: A large-scale cross-sectional study

Acceptability and user perceptions of artificial intelligence-based mobile applications adoption for weight management: A sequential explanatory study.

Development and evaluation of Home-based Care Competency Scale among Singapore nurses: A two-phase study

Development and evaluation of Blended Resilience and Education Training (BRET) among undergraduate students: A sequential mixed methods design

Prof. Magdalena Piasecka | Temperature Measurement | Excellence in Research

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Prof. Magdalena Piasecka | Temperature Measurement | Excellence in ResearchΒ 

Prof. Magdalena Piasecka, Kielce University of Technology, Poland

Dr. Magdalena Piasecka is a Full Professor and Head of the Department of Mechanics and Thermal Processes at Kielce University of Technology, Poland. She earned her Ph.D. from Kielce University of Technology in 2002, followed by a habilitation from Koszalin University of Technology in 2015. In 2020, she was awarded the title of Professor in technical sciences by the President of Poland. Her research focuses on flow boiling heat transfer in minigaps, investigating the effects of geometry, spatial orientation, and thermal parameters on boiling processes. She specializes in enhanced heat transfer surfaces, advanced temperature measurement techniques such as liquid crystal and infrared thermography, and mathematical modeling of heat and fluid flow. With over 230 scientific publications, she has an H-index of 24 and more than 1,100 citations. She has authored three monographs and holds two patents. Dr. Piasecka has participated in 12 research projects, serving as Principal Investigator in five. Her contributions to thermodynamics, fluid mechanics, and renewable energy have earned her multiple awards and distinctions for scientific excellence.

Professional Profile:

SCOPUS

Summary of Suitability for Excellence in ResearchΒ 

Prof. Magdalena Piasecka is a highly deserving candidate for the Excellence in Research Award, given her outstanding contributions to heat transfer, thermodynamics, and fluid mechanics. Her extensive publication record, leadership in research projects, and impact on the scientific community demonstrate her exceptional research excellence.

πŸŽ“ Education & Academic Titles:

  • Ph.D. (2002) – Kielce University of Technology, Poland
  • Habilitation (2015) – Koszalin University of Technology, Poland
  • Professor Title (2020) – Conferred by the President of Poland in Technical Sciences

πŸ‘©β€πŸ« Work Experience:

  • Full Professor & Head of the Department of Mechanics and Thermal Processes – Kielce University of Technology, Poland

πŸ† Achievements:

  • πŸ“š 230+ Scientific Publications in peer-reviewed journals & international conferences
  • πŸ“ˆ Web of Science Bibliometric Metrics:
    • H-index: 24
    • Total Citations: 1102 (480 excluding self-citations)
    • Total Impact Factor (IF): 108.6 (current), 108.89 (5-year IF)
  • πŸ“– Books & Patents:
    • 2 Monographs (Author), 1 Monograph (Co-author)
    • 1 Patent (Author), 1 Patent (Co-author)
  • πŸ”¬ Research Projects:
    • Participated in 12 research projects (Principal Investigator in 5 projects)

πŸ… Awards & Honors:

  • Multiple Awards & Distinctions for outstanding scientific achievements in heat transfer, thermodynamics, and renewable energy research

PublicationΒ Top Notes:

Laser Surface Texturing for the Intensification of Boiling Heat Transfer in a Minichannel

Contact temperature measurement using selected thermoelements for studies of heat transfer during fluid flow in minichannels – metrology investigations

Using the Monte Carlo method for estimation of temperature uncertainty due to infrared thermography and K-type thermoelement measurements

Homotopy Perturbation Method with Trefftz Functions and Simcenter STAR-CCM+ Used for the Analysis of Flow Boiling Heat Transfer

Using Quality Function Deployment to Assess the Efficiency of Mini-Channel Heat Exchangers

Investigations of Flow Boiling in Mini-Channels: Heat Transfer Calculations with Temperature Uncertainty Analyses

Dr. Yongho Jeong | Computer vision | Best Researcher Award

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Dr. Yongho Jeong | Computer vision | Best Researcher AwardΒ 

Dr. Yongho Jeong, Konkuk University, South Korea

Dr. Yongho Jeong is a physicist specializing in experimental particle physics, high-energy physics, and AI-driven data analysis. He earned his Ph.D. in Physics from Sungkyunkwan University, Korea, in 2022 under the supervision of Prof. YongIl Choi, focusing on the search for R-parity violating supersymmetry in proton-proton collisions at √s = 13 TeV using the CMS detector. He completed his B.S. in Physics from Soonchunhyang University in 2013. Dr. Jeong has held multiple postdoctoral positions, including at the University of Seoul, where he worked on Gas Electron Multiplier (GEM) detector aging tests, and at the Korea Astronomy and Space Science Institute (KASI), where he contributed to quantum noise reduction for future gravitational wave detectors. He has also been involved in AI software development at Mustree Company and is set to join Konkuk University as a postdoctoral researcher in 2024, focusing on 3D point cloud data analysis. His extensive research experience includes collaborations with CERN on the GEM Detector Upgrade Project for the CMS experiment, where he worked on quality control, chamber assembly, and detector performance studies. His expertise spans detector development, high-energy physics simulations, data analysis for supersymmetry searches, and advanced AI applications in physics.

Professional Profile:

ORCID

Summary of Suitability for Community Impact AwardΒ 

Dr. Yongho Jeong is a highly deserving candidate for the Community Impact Award, given his significant contributions to experimental particle physics, AI-driven technological advancements, and quantum noise reduction for future scientific applications. His extensive research collaborations, contributions to international projects, and involvement in technology-driven community advancements make him a strong nominee for this award.

πŸ“š Education

  • Ph.D. in Physics (2014.09 – 2022.02) – Sungkyunkwan University, Suwon, Korea
    • Supervisor: YongIl Choi
    • Thesis: Search for R-parity violating supersymmetry in pp collisions at √s = 13 TeV in the CMS detector
  • B.S. in Physics (2007.03 – 2013.02) – Soonchunhyang University, Asan, Korea
    • Thesis: The Age of the Universe

πŸ’Ό Work Experience

  • Postdoctoral Researcher – KonKuk University (KU), Seoul, Korea (2024.09 – Present)

    • Integrated Analytical Models and Advanced Strategies for 3D Point Cloud Data Analysis

  • Postdoctoral Researcher – University of Seoul (UOS), Seoul, Korea (2023.11 – 2024.08)

    • Gas Electron Multiplier (GEM) Detector Aging Test
    • Production of GEM Detector Foil for the Rare Isotope Accelerator Complex (RAON) Laboratory

  • Technology Team – AI Software Development – Mustree Company, Seoul, Korea (2023.07 – 2023.10)

    • Developed AI Software for Size Measurement

  • Postdoctoral Researcher – Korea Astronomy and Space Science Institute (KASI), Daejeon, Korea (2022.05 – 2023.07)

    • Quantum Noise Reduction Technology for Future Gravitational Wave Detectors
    • Development of a 2 Β΅m Laser Squeeze System

  • Ph.D. Researcher – High Energy Physics – Korea University, Seoul, Korea (2020.01 – 2022.04)

    • Data Analysis for Supersymmetric Particles
    • Search for R-parity Violating Supersymmetry in Proton-Proton Collisions at √s = 13 TeV

  • Ph.D. Researcher – GEM Detector Upgrade Project (Phase II) – CERN, Geneva, Switzerland (2018.01 – 2019.12)

    • Quality Control (QC) of GEM Chambers in the CMS Experiment
    • QC2: Leakage Current Test
    • QC3: Gas Leak Test
    • QC4: High Voltage Test
    • GEM Chamber Assembly, Aging Tests & Discharge Probability Studies

  • Ph.D. Researcher – Experimental Particle Physics – Sungkyunkwan University, Suwon, Korea (2017.06 – 2018.02)

    • Data Analysis for ttΜ„ Inclusive Decay
    • Measurement of the Inclusive Top Quark Cross Section in Di-lepton Channels at √s = 13 TeV

  • Ph.D. Researcher – Experimental Particle Physics – University of Seoul, Seoul, Korea (2016.01 – 2017.06)

    • CMS Detector Simulation for Phase II Upgrade
    • Muon Isolation Optimization Simulation

πŸ† Achievements & Contributions

βœ… Authored numerous research papers in High-Energy Physics & Detector Technology
βœ… Significant contributions to CMS Detector R&D at CERN
βœ… Advanced AI-based measurement software for industry applications
βœ… Developed quantum noise reduction techniques for future gravitational wave detectors

πŸŽ–οΈ Awards & Honors

πŸ… Recognized Researcher in Particle Physics for contributions to Supersymmetry & CMS Experiments
πŸ… Recipient of CERN Research Fellowships for GEM Detector Upgrade & Testing
πŸ… Awarded Postdoctoral Research Positions in Multiple Leading Korean Institutions
πŸ… Contributor to the CMS Collaboration at the European Organization for Nuclear Research (CERN)

PublicationΒ Top Notes:

A Mobile LiDAR-Based Deep Learning Approach for Real-Time 3D Body Measurement

A Multi-View Integrated Ensemble for the Background Discrimination of Semi-Supervised Semantic Segmentation

Prof. Dr. Weidong Jiao | Smart Detection | Best Researcher Award

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Prof. Dr. Weidong Jiao | Smart Detection | Best Researcher AwardΒ 

Prof. Dr. Weidong Jiao, Zhejiang Normal University, China

Dr. Weidong Jiao was born in Wafangdian, Liaoning, China, in 1970. He received his B.E. and M.E. degrees in Safety Engineering and Mechanical Engineering from Gansu University of Technology in 1992 and 2001, respectively, and earned his Ph.D. in Mechanical Engineering from Zhejiang University in 2004. From 2004 to 2009, he served as a Professor in the Mechanical Engineering Department at Jiaxing University. Since 2013, he has been a Professor at the School of Engineering, Zhejiang Normal University. Dr. Jiao has authored over 100 research articles and holds approximately 20 invention patents. His research focuses on smart testing and signal processing, mechanical dynamics, and condition monitoring and fault diagnosis of mechanical equipment. He also serves as an Editor for the Journal of Vibration, Measurement & Diagnosis.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Prof. Weidong Jiao

Prof. Weidong Jiao is a highly qualified candidate for the Best Researcher Award, based on his extensive contributions to mechanical engineering, fault diagnosis, and intelligent signal processing. His strong research background, innovative work, and leadership in academia make him a worthy contender for this prestigious recognition.

πŸŽ“ Education:

  • B.E. in Safety Engineering – Gansu University of Technology, Lanzhou (1992)
  • M.E. in Mechanical Engineering – Gansu University of Technology, Lanzhou (2001)
  • Ph.D. in Mechanical Engineering – Zhejiang University, Hangzhou (2004)

πŸ’Ό Work Experience:

  • Professor, Mechanical Engineering Department, Jiaxing University (2004–2009)
  • Professor, School of Engineering, Zhejiang Normal University (Since 2013)

πŸ† Achievements & Contributions:

  • πŸ“š Published over 100 research articles
  • πŸ”¬ Invented approximately 20 innovations
  • πŸ› οΈ Expertise in smart testing, signal processing, mechanical dynamics, condition monitoring, and fault diagnosis
  • πŸ“ Editor of Journal of Vibration, Measurement & Diagnosis

πŸ… Awards & Honors:

  • πŸŽ–οΈ Recognized for contributions in mechanical engineering and diagnostics
  • πŸ… Honored for advancements in fault diagnosis and condition monitoring
  • πŸ” Acknowledged for outstanding research and academic contributions in mechanical dynamics

PublicationΒ Top Notes:

Compact multiphysics coupling modeling and analysis of self-excited vibration in maglev trains

Deep learning in industrial machinery: A critical review of bearing fault classification methods

Recursive prototypical network with coordinate attention: A model for few-shot cross-condition bearing fault diagnosis

Double attention-guided tree-inspired grade decision network: A method for bearing fault diagnosis of unbalanced samples under strong noise conditions

Cross-Conditions Fault Diagnosis of Rolling Bearing Based on Transitional Domain Adversarial Network

Prof. Dr. Ching-Ting Lee | Gas Sensors | Best Researcher Award

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Prof. Dr. Ching-Ting Lee | Gas Sensors | Best Researcher AwardΒ 

Prof. Dr. Ching-Ting Lee, Department of Electrical Engineering, National Cheng Kung University, Taiwan

Dr. Ching-Ting Lee is a Chair Professor in the Department of Electrical Engineering at National Cheng Kung University (NCKU) and Yuan Ze University, Taiwan. He received his B.S. and M.S. degrees from NCKU in 1972 and 1974, respectively, and earned his Ph.D. in Electrical Engineering from Carnegie Mellon University, Pittsburgh, in 1982. Dr. Lee has held prestigious academic positions, including serving as the Dean of the College of Electrical Engineering and Computer Science at NCKU from 2003 to 2009 and as Vice President of Yuan Ze University from 2018 to 2022. Currently, he is an Emeritus Chair Professor at Yuan Ze University. A Fellow of IEEE and IET, he has received numerous accolades, including the Outstanding Research Professor Fellowship from Taiwan’s National Science Council, the Optical Engineering Medal, and multiple distinguished professor awards. He was also honored with ASIA’s Education Excellence Award and recognized as an International Association of Advanced Materials (IAAM) Fellow in Sweden. His research focuses on III-V semiconductor lasers, photodetectors, high-speed electronic devices, and their integration into electro-optical circuits.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher AwardΒ 

Dr. Ching-Ting Lee is an exceptionally qualified candidate for the Best Researcher Award, given his distinguished career, groundbreaking research contributions, and global recognition in electrical engineering and optoelectronics. His extensive academic and professional achievements make him a leading figure in the field.

πŸŽ“ Education

  • πŸ“ B.S. in Electrical Engineering – National Cheng Kung University, Taiwan (1972)
  • πŸ“ M.S. in Electrical Engineering – National Cheng Kung University, Taiwan (1974)
  • πŸ“ Ph.D. in Electrical Engineering – Carnegie Mellon University, USA (1982)

πŸ’Ό Work Experience

  • πŸ›οΈ Dean, College of Electrical Engineering & Computer Science – National Cheng Kung University (2003–2009)
  • πŸŽ“ Chair Professor, Institute of Microelectronics – National Cheng Kung University
  • 🏒 Vice President – Yuan Ze University (2018–2022)
  • πŸŽ–οΈ Emeritus Chair Professor – Yuan Ze University (Present)

πŸ† Awards & Honors

  • 🌟 Fellow, IEEE
  • 🌟 Fellow, IET
  • πŸ… Outstanding Research Professor Fellowship – National Science Council, Republic of China
  • πŸ† Distinguished Service Award – Institute of Electrical Engineering Society
  • πŸ”¬ Optical Engineering Medal – Optical Engineering Society
  • ⚑ Distinguished Electrical Engineering Professor Award – Chinese Institute of Electrical Engineering Society
  • πŸ… Distinguished Engineering Professor Award – Chinese Institute of Engineers
  • πŸŽ– Asia’s Education Excellence Award – Le Meridien Singapore
  • πŸ… Fellow, International Association of Advanced Materials (IAAM) – Sweden

πŸ”¬ Research Interests

  • III-V Semiconductor Lasers
  • Photodetectors & High-Speed Electronic Devices
  • Electro-Optical Integrated Circuits

PublicationΒ Top Notes:

Highly sensitive NO2Β gas sensors based on heterostructured p-rGO/n-Ga2O3Β nanorods

Prof. FΓ‘bio Lanferdini | Biomechanical Analysis | Best Researcher Award

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Prof. FΓ‘bio Lanferdini | Biomechanical Analysis | Best Researcher AwardΒ 

Prof. FΓ‘bio Lanferdini, UFSM, Brazil

FΓ‘bio Juner Lanferdini in Descanso, Brazil, is an accomplished researcher and professor specializing in biomechanics, kinesiology, exercise physiology, and sports performance. He holds a Ph.D. in Human Movement Sciences from the Federal University of Rio Grande do Sul (UFRGS), where he also completed his master’s degree. Additionally, he pursued postdoctoral research at UFRGS and the National Council for Scientific and Technological Development (CNPq). Currently, he serves as an Adjunct Professor and leads the Research Group on Biomechanics and Energetics of Human Movement (GPBEMH) at the Federal University of Santa Maria (UFSM). His expertise spans sports science, physical training, rehabilitation, and sports nutrition, contributing significantly to research and academic advancements in the field.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – FΓ‘bio Juner Lanferdini

FΓ‘bio Juner Lanferdini is a highly qualified researcher with extensive academic and professional experience in the field of Physical Education, Human Movement Sciences, and Biomechanics. His strong background, including a Ph.D. from the Federal University of Rio Grande do Sul (UFRGS) and two postdoctoral fellowships, demonstrates a solid research foundation.

πŸŽ“ Education

  • Doctorate in Fitness (2012 – 2016) – Universidade Federal do Rio Grande do Sul (UFRGS), Brazil

    • Dissertation: Effect of Low-Power Laser Therapy Dose on Cycling Performance
    • Advisor: Marco AurΓ©lio Vaz
    • Funded by CAPES Scholarship

  • Master’s in Fitness (2009 – 2011) – Universidade Federal do Rio Grande do Sul (UFRGS), Brazil

    • Thesis: Muscular and Neural Characteristics of Cyclists and Triathletes
    • Advisor: Carlos Bolli Mota
    • Funded by CAPES Scholarship

  • Graduation in Physical Education (2005 – 2007) – Centro UniversitΓ‘rio Metodista, Brazil

  • Postdoctoral Fellowships:

    • 2018 – Conselho Nacional de Desenvolvimento CientΓ­fico e TecnolΓ³gico (CNPq), BrasΓ­lia, Brazil
    • 2017 – 2018 – Universidade Federal do Rio Grande do Sul (UFRGS), Brazil

πŸ’Ό Work Experience

  • Professor Adjunct A – Federal University of Santa Maria (UFSM), Brazil

    • Leader of the Research Group on Biomechanics and Energetics of Human Movement (GPBEMH)
    • Researcher at the Biomechanics Laboratory (LABIOMEC)

  • Lecturer & Researcher – Federal University of Rio Grande do Sul (UFRGS), Brazil

  • Expertise Areas:

    • Sports Science πŸ‹οΈβ€β™‚οΈ
    • Biomechanics πŸƒβ€β™‚οΈ
    • Kinesiology πŸ€Έβ€β™‚οΈ
    • Exercise Physiology πŸ’ͺ
    • Sports Nutrition πŸ₯—
    • Training, Rehabilitation & Performance Optimization πŸ†

πŸ† Achievements, Awards & Honors

  • Leader of GPBEMH Research Group – Advancing biomechanics and human movement research
  • Recipient of CAPES Scholarship – For Master’s and Doctorate studies
  • Contributor to Multiple Scientific Publications πŸ“–
  • Mentor & Supervisor – Training students in exercise science and biomechanics
  • Participation in International Conferences & Workshops 🌍

PublicationΒ Top Notes:

Anthropometric, neuromuscular, physiologic and training variables as determinants to laboratory cycling performance

Biomechanical, physiological and anthropometrical predictors of performance in recreational runners

Combination of Training to Failure and Non-Failure: An Unexplored Approach of Number of Repetitions, Rate of Perceived Exertion, Time Under Tension, Volume-Load, and Muscle Swelling in Trained Individuals

Juçara (Euterpe edulis Martius) improves time-to-exhaustion cycling performance and increased reduced glutathione: a randomized, placebo-controlled, crossover, and triple-blind study

Cut-off score of the modified Ashworth scale corresponding to walking ability and functional mobility in individuals with chronic stroke

Ms. Yuri Kim | Data Monitoring | Best Researcher Award

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Ms. Yuri Kim | Data Monitoring | Best Researcher AwardΒ 

Ms. Yuri Kim, Korea University, South Korea

Yuri Kim is a Ph.D. candidate in Computer Science at Korea University, Seoul, South Korea, where she has been conducting research since September 2020 as a recipient of the ICT Elite Talent Development Program Scholarship. She holds a B.Sc. and M.Sc. in Computer Science from EΓΆtvΓΆs LorΓ‘nd University, Budapest, Hungary, where she graduated with distinction under the Stipendium Hungaricum Scholarship. Yuri has extensive experience in both academia and industry, having served as a lecturer at Korea University Graduate School of Education and EΓΆtvΓΆs LorΓ‘nd University, teaching advanced data structures and functional programming. She has also worked as a project manager at The Mihalik Group, leading the development of in-house business automation software, and as a student backend developer at Ericsson. Her research interests span natural language processing, machine learning, and financial modeling, with notable publications on stock trading recommendation systems, serendipity-based recommender systems, and Linked Open Data structures. She has been actively involved in entrepreneurial ventures, participating in the 2024 Korean I-Corps Program and the 2023 Innovation Startup School, focusing on AI-driven solutions. Proficient in Python, C, Go, and Clean, Yuri combines her expertise in programming with strong project management skills in Agile and Scrum methodologies.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Yuri Kim is an exceptional researcher in computer science, artificial intelligence, natural language processing (NLP), and recommender systems, demonstrating a strong academic and professional background. Her diverse expertise, high-impact research contributions, and interdisciplinary approach make her a highly suitable candidate for the Best Researcher Award.

πŸŽ“ Education

πŸ“ Korea University, Seoul, South Korea
πŸ”Ή Ph.D. Candidate in Computer Science (2020.09 – Present)
πŸ”Ή πŸŽ–οΈ Recipient of ICT Elite Talent Development Program Scholarship
πŸ”Ή 🏫 Research Assistant

πŸ“ EΓΆtvΓΆs LorΓ‘nd University, Budapest, Hungary
πŸ”Ή B.Sc. & M.Sc. in Computer Science (Integrated Program) (2016.09 – 2019.08)
πŸ”Ή πŸ“Š GPA: 4.28 / 4.5 (Master’s) | 4.48 / 4.5 (Bachelor’s)
πŸ”Ή πŸŽ–οΈ Recipient of Stipendium Hungaricum (Hungarian Government Scholarship)

πŸ’Ό Work Experience

πŸ“ The Mihalik Group, Chicago, IL (Remote)
πŸ”Ή Project Manager (PM) (2023.08 – 2024.07)
πŸ”Ή πŸ—οΈ Developed in-house business automation software
πŸ”Ή πŸ“… Planned & designed project phases, coordinated schedules
πŸ”Ή πŸ” Managed resources & monitored project performance

πŸ“ Korea University Graduate School of Education, Seoul, South Korea
πŸ”Ή Lecturer – Advanced Data Structures (2022.09 – 2023.02)
πŸ”Ή πŸ–₯️ Delivered lectures on Data Structures & Algorithms
πŸ”Ή πŸ“ Designed quizzes, assignments, exams & projects
πŸ”Ή πŸ“š Developed instructional materials

πŸ“ EΓΆtvΓΆs LorΓ‘nd University, Budapest, Hungary
πŸ”Ή Lecturer – Functional Programming (Clean Language) (2018.02 – 2019.02)
πŸ”Ή πŸ›οΈ Taught Clean Functional Programming
πŸ”Ή ✍️ Designed evaluations, assignments, exams & projects
πŸ”Ή πŸ“– Created instructional materials

πŸ“ Ericsson, Budapest, Hungary
πŸ”Ή Student Backend Developer (2018.09 – 2019.01)
πŸ”Ή βš™οΈ Developed & evaluated performance test cases using C
πŸ”Ή πŸ› οΈ Updated codebase to align with modern standards
πŸ”Ή πŸ” Conducted code reviews & refactoring

πŸ† Awards & Honors

πŸ”Ή 2024 Korean I-Corps Program πŸš€

  • AI-Based Personalized Makeup Consulting
    πŸ”Ή 2023 Innovation Startup School πŸ…
  • AI-Based Celebrity Memorabilia Donation & Auction Platform

πŸŽ–οΈ Achievements

πŸ“Œ Publications & Research πŸ“š
πŸ”Ή Developed a Rule-Based Stock Trading Recommendation System πŸ“ˆ
πŸ”Ή Designed a Serendipity-Incorporated Recommender System πŸ€–
πŸ”Ή Implemented a Linked Data Visualization System πŸ”—
πŸ”Ή Proposed methods for Enhancing Linked Open Data (LOD) πŸ› οΈ
πŸ”Ή Researched Interdisciplinary Applications for Functional Programming 🎨
πŸ”Ή Compared Clean vs. C Programming for Education πŸ’»
πŸ”Ή Explored Distributed Computation Patterns in Go & RabbitMQ ☁️

πŸ“Œ Projects πŸ”
πŸ”Ή SEC 13D/G & 13F Report Tracking Platform (2024.12) πŸ“Š
πŸ”Ή Text-to-Speech-Based Audiobook Auto-Generation (2024.12) πŸŽ™οΈ
πŸ”Ή AI Avatar-Based Motion Slide Auto-Generation (2024.12) πŸ–ΌοΈ
πŸ”Ή DART Stock Large Shareholder Report Crawling System (2024.10) πŸ“‘

PublicationΒ Top Notes:

A Rule-Based Stock Trading Recommendation System Using Sentiment Analysis and Technical Indicators

Introduction to programming Using Clean

Prof. Dr. Kevin Oshea | Environmental | Excellence in Research

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Prof. Dr. Kevin Oshea | Environmental | Excellence in ResearchΒ 

Prof. Dr. Kevin Oshea, Florida International University, United States

Kevin Edward O’Shea is a Professor of Chemistry and Biochemistry at Florida International University (FIU) in Miami, FL. He earned his Ph.D. in Organic Chemistry from the University of California, Los Angeles (UCLA) under the mentorship of Professor Christopher S. Foote and completed a postdoctoral fellowship at the University of Texas, Austin, with Professor Marye Anne Fox. Since joining FIU in 1991, he has held various academic leadership positions, including Interim Dean and Senior Associate Dean of the Graduate School. His research focuses on environmental chemistry, photochemical processes, and the development of nanomaterials for pollutant removal. With over 150 peer-reviewed publications and more than 16,000 citations, his work has been widely recognized in premier chemistry and environmental science journals. He has secured approximately $4 million in research funding from agencies such as the National Science Foundation, the U.S. Department of Energy, and the U.S. Environmental Protection Agency. Throughout his career, he has delivered numerous invited talks worldwide and has been actively engaged in mentoring students at both undergraduate and graduate levels.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Research for Excellence in Research Award

Dr. Kevin Edward O’Shea is a highly accomplished researcher and professor of Chemistry and Biochemistry with extensive experience in organic chemistry, photochemical processes, and structural elucidation. His contributions to research, mentorship, and academic leadership make him a strong candidate for the Research for Excellence in Research Award.

πŸŽ“ Education

  • University of Texas, Austin (1989-1991) – Postdoctoral Fellow πŸ…
    • Advisor: Professor Marye Anne Fox
    • Research: Reactive species for the activation of anti-cancer agents and photochemical processes in supercritical fluids
  • University of California, Los Angeles (1984-1989) – Ph.D. in Organic Chemistry πŸ§ͺ
    • Mentor: Professor Christopher S. Foote
    • Dissertation: The Photoxygenation of Guanosine, Adamantylideneadamantane, and Isomeric 2,4-Hexadienes
  • California State University, Sacramento (1980-1984) – B.S. in Chemistry (with Honors) πŸŽ“
    • Senior Project: Synthesis of Novel Imidazolium Compounds

πŸ‘¨β€πŸ« Academic & Professional Experience

  • Florida International University (2004–Present) 🌴🏫
    • Professor of Chemistry and Biochemistry
    • Senior Associate Dean, Graduate School (2012-2017)
    • Interim Dean, Graduate School (2009-2011)
  • University of California, Davis (2019) – Visiting Professor πŸ”¬
  • University of Miami (2004-2005) – Visiting Professor (Sabbatical) 🌊
  • Georgia Institute of Technology (1997-1998) – Research Associate Professor (Sabbatical) πŸ—οΈ
  • Florida State University (1995) – Visiting Assistant Professor πŸ“š
  • Florida International University (1991-1996) – Assistant Professor πŸŽ“

πŸ† Achievements & Contributions

  • 150+ Peer-Reviewed Publications πŸ“‘
    • Published in top journals like Chemical Reviews, Journal of the American Chemical Society, and Environmental Science & Technology
    • Over 16,000 citations and an h-index of 65 πŸ“ˆ
  • 300+ Scientific Presentations 🌍
    • Invited speaker in China, South Korea, Turkey, Ireland, Spain, Singapore, Hungary, Puerto Rico, and Canada
  • Secured $4M+ in Research Grants πŸ’°
    • Funding from NSF, NIH, EPA, DOE, and more
  • Research on Environmental Chemistry & Nanomaterials 🌿πŸ§ͺ

πŸ… Awards & Honors

  • National Science Foundation (NSF) Research Grants πŸ†
  • American Chemical Society (ACS) Recognition πŸ”¬
  • International Invited Speaker 🎀
  • Significant Contributions to Environmental Chemistry & Sustainable Solutions 🌱

PublicationΒ Top Notes:

CITED:4627
CITED:802
CITED:456
CITED:437
CITED:290

Assoc. Prof. Dr. Mona Aboueleaz | Cyber Factory | Women Researcher Award

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Assoc. Prof. Dr. Mona Aboueleaz | Cyber Factory | Women Researcher AwardΒ 

Assoc. Prof. Dr. Mona Aboueleaz, Mansoura University, Egypt

Dr. Mona AbouEleaz is an Associate Professor in the Production Engineering and Mechanical Design Department at the Faculty of Engineering, Mansoura University, Egypt. She holds a Ph.D. in Production Engineering from Mansoura University, where her research focused on integrating Lean Six Sigma practices into organizational quality management systems. She also earned an M.Sc. in Industrial Engineering from Alexandria University and a B.Sc. in Production Engineering & Mechanical Design from Mansoura University, graduating with honors as the top-ranked student. Dr. AbouEleaz has extensive academic and research experience, having served as a postdoctoral researcher at the University of Calgary, Canada, and a visiting lecturer at the University of Central Lancashire, UK. In addition to her teaching and research, she has held several administrative and managerial roles, including Executive Director of the University Center for Career Development at Mansoura University and Coordinator of multiple international collaboration programs with institutions such as Kyushu University, Japan, and UCLAN, UK. She has also contributed significantly to accreditation, quality assurance, and strategic planning initiatives at Mansoura University. Dr. AbouEleaz is an expert consultant in industrial engineering and quality system management planning and has played a key role in advancing engineering education and institutional development in Egypt.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability for the Research for Women Researcher AwardΒ 

Dr. Mona AbouEleaz is a highly accomplished researcher and academic in the field of Production Engineering and Mechanical Design. Her extensive experience spans over two decades, demonstrating her dedication to advancing engineering research and education. Below are key factors supporting her suitability for the Research for Women Researcher Award

πŸŽ“ Education:

  • Ph.D. in Production Engineering (2010-2015) πŸ…
    Thesis: “Lean Six Sigma Practices into an Organizational Quality Management System”
    Faculty of Engineering, Mansoura University, Egypt
  • M.Sc. in Industrial Engineering (2005-2008) 🎯
    Thesis: “Hierarchic Framework for Quality Improvement Approaches”
    Faculty of Engineering, Alexandria University, Egypt
  • B.Sc. in Production Engineering & Mechanical Design (Ranked 1st, Very Good with Honor) πŸ†
    Faculty of Engineering, Mansoura University, Egypt

πŸ’Ό Professional Experience:

  • Associate Professor (Present) πŸ‘©β€πŸ«
    Production Eng. & Mechanical Design Dept., Faculty of Engineering, Mansoura University, Egypt
  • Visiting Lecturer (Aug 2019) ✈️
    School of Engineering, University of Central Lancashire, UK
  • Postdoctoral Researcher (Jun – Dec 2018) πŸ”¬
    Schulich School of Engineering, Mechanical & Manufacturing Engineering Dept., University of Calgary, Canada
  • Lecturer (Dec 2015 – Present) πŸ“š
    Mansoura University, Egypt
  • Lecturer Assistant (May 2009 – Dec 2015) πŸŽ“
    Mansoura University, Egypt
  • Demonstrator (Mar 2003 – May 2009) πŸ—οΈ
    Mansoura University, Egypt

πŸ† Achievements & Honors:

  • Executive Director of University Center for Career Development, Mansoura University (2023 – Present)
  • Erasmus+ Coordinator for Student & PhD Mobility Programs between Mansoura University & UCLAN, UK πŸ‡¬πŸ‡§
  • Established student mobility programs with Kyushu University, Japan πŸ‡―πŸ‡΅ (2021)
  • Head of Institutional Accreditation Committee for Student Affairs at Mansoura University (2020 – Present)
  • Quality Assurance Coordinator of Production Eng. Dept. (2018 – Present) βœ…
  • Coordinator of International Relations Office, Mansoura University (2020 – Present) 🌍
  • Consultant Engineer in Industrial Engineering & Quality System Management, Engineering Syndicate, Cairo (2021 – Present)
  • Organizer of the First Industrial Conference at Mansoura University (2015) 🏭
  • Team Leader for Local Academic Accreditation Strategic Plan, Mansoura University (2013 – 2016)

PublicationΒ Top Notes:

Automated Classification of Marble Types Using Texture Features and Neural Networks: A Robust Approach for Enhanced Accuracy and Reproducibility

A Study of Drilling Parameter Optimization of Functionally Graded Material Steel–Aluminum Alloy Using 3D Finite Element Analysis

A Decision-making Approach to Reduce the Risk of Measurement Uncertainty for Product Size

Experimental Investigation of Surface Roughness and Material Removal Rate in Wire EDM of Stainless Steel 304

Wire Electrical Discharge Machining of AISI304 and AISI316 Alloys: A Comparative Assessment of Machining Responses, Empirical Modeling and Multi-Objective Optimization

 

Prof. Dr. Ewa Wanda Ziemba | Smart Solutions | Best Paper Award

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Prof. Dr. Ewa Wanda Ziemba | Smart Solutions | Best Paper Award

Prof. Dr. Ewa Wanda Ziemba, University of Economics in Katowice, Poland

Prof. Ewa Wanda Ziemba is a distinguished Full Professor of Management at the University of Economics in Katowice, Poland. She holds multiple academic degrees, including a Ph.D. and postdoctoral habilitation in Economics, and has extensive expertise in social science, management, and information technologies. With a research focus on information systems and technologies for business, public administration, and sustainable development, she has published over 240 peer-reviewed papers, authored three books, and edited 24 volumes. Prof. Ziemba has played a pivotal role in more than 40 prestigious Polish and international research projects and is recognized for her contributions to the academic community, receiving numerous awards for her research excellence. She serves on the editorial boards of various international journals and is a member of the European Academy of Sciences and Arts. Prof. Ziemba is highly regarded in her field, being included in the top-cited scientists list by Stanford University in 2021.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Paper Award: Prof. Ewa Ziemba, Ph.D., D.Sc.

Prof. Ewa Ziemba is an outstanding candidate for the Best Paper Award due to her significant contributions to the fields of management and information systems over the past decade. As a Full Professor at the University of Economics in Katowice, she has demonstrated expertise in critical areas such as ICT adoption, sustainable development, and management information systems. Her research aligns with contemporary trends in technology and management, focusing on the intersection of information systems and societal development.

Education πŸŽ“

  • M.Sc. in Economics (1984)
    University of Economics in Katowice
  • Ph.D. in Economics (1998)
    University of Economics in Katowice
  • Post Ph.D. (Habilitation) in Economics (2010)
    University of Economics in Katowice
  • Professor in Economics (2018)

Work Experience πŸ’Ό

  • Full Professor
    University of Economics in Katowice (2019 – Present)
  • Head of Department of Business Informatics and International Accounting
    University of Economics in Katowice (2016 – Present)
  • Associate Professor
    University of Economics in Katowice (2011 – 2019)
  • Assistant Professor
    University of Economics in Katowice (1999 – 2011)
  • Assistant
    University of Economics in Katowice (1984 – 1999)
  • Ordinary Member
    European Academy of Sciences and Arts (2021 – Present)
  • Vice Head
    Silesian International School of Commerce (2009 – 2011)
  • Associate Professor, Head of Department of Informatics
    WSB University in PoznaΕ„ (2004 – 2011)

Achievements 🌟

  • Published over 240 peer-reviewed papers, 3 books, and 24 edited volumes.
  • Included in the top 2% cited scientists list by Stanford University (2021).
  • Instrumental role in over 40 prestigious research projects.
  • Research expert for several organizations, including the National Centre for Research and Development in Poland and the Academy of Finland.

Awards and Honors πŸ†

  • Prize of Polish Minister of Science and Higher Education for Excellent Research Achievement.
  • Excellence in Research & Scholarship Award.
  • Fellow & Distinguished Scholar Award.
  • 6 Silver and Bronze Journal Editor Awards.
  • 27 Awards of the Rector of the University of Economics in Katowice.
  • 10 Best Research Paper Awards, including recognition at the 30th International Conference on Information Systems Development (ISD’2022).

PublicationΒ Top Notes:

Behavioral Intention and Use of ChatGPT Among Accounting and Finance Students: A Two-Year Comparative Study

The determinants of ChatGPT usage among accounting students: the role of habit, social influence, and facilitating conditions

Environmental sustainability driven by ICTs: A Perspective of Enterprises and Government Units

Leveraging artificial intelligence to meet the sustainable development goals

Acceptance and Use of ChatGPT Among Accounting and Finance Higher Education Students