Prof. Dr. Ahmet Güneyli, European University of Lefka, Cyprus.

Ahmet GÜNEYLİ is a Professor of Turkish Language Teaching at the European University of Lefke in North Cyprus. With over two decades of academic experience, he has made significant contributions to Turkish language education, educational sciences, and teacher training. His career spans roles from Assistant Professor at Near East University to his current position as Professor. He supervises numerous master’s and Ph.D. theses, fostering research in multilingual education, instructional strategies, and educational management. Prof. GÜNEYLİ is an active participant in academic publishing and conference presentations, establishing himself as a leading figure in his field.

Professional Profile

Scopus

ORCID

Researcher Suitability Summary for Best Researcher Award

Professor Ahmet Güneyli exhibits exceptional academic and research credentials, positioning him as a strong candidate for the Research for Best Researcher Award. His scholarly achievements, significant contributions to Turkish language education, and commitment to mentoring young researchers underscore his suitability for this recognition.

Education 🎓

Undergraduate: Bachelor’s in Preschool & Primary School Education, Teachers Training College, Cyprus (2000).
Master’s: M.A. in Educational Sciences with a focus on Turkish Language Teaching, Ankara University, Turkey (2003).
Ph.D.: Educational Sciences specializing in Turkish Language Teaching, Ankara University, Turkey (2007).

Ahmet’s academic journey reflects his dedication to Turkish language education and instructional methodologies. His rigorous training has equipped him to address complex educational challenges effectively.

Experience 💼

Ahmet began his career as an Assistant Professor at Near East University in 2009, rising to Associate Professor in 2015. By 2021, he achieved full professorship at the European University of Lefke. His leadership includes supervising theses on multilingual education, bilingual instructional methods, and organizational analysis in education. His work combines practical applications with theoretical frameworks, enhancing education quality in Northern Cyprus.

Research Interests 🔬

Prof. GÜNEYLİ focuses on Turkish language education, bilingual instructional methods, and educational program evaluation. His interdisciplinary approach integrates educational sciences with language studies, aiming to advance instructional techniques and organizational efficiency in schools. His research supports inclusive and multilingual education policies.

Awards 🏆

Ahmet has earned numerous awards for his contributions to Turkish language teaching and educational sciences, underscoring his academic and professional excellence. These honors recognize his innovative teaching methods, impactful research, and dedication to advancing education.

Publications Top Notes 📚

Understanding University Students’ Foreign Language Learning Attitudes: An Analysis Based on Stereotypes

Exploring Teacher Awareness of Artificial Intelligence in Education: A Case Study from Northern Cyprus

Turkish Language Teachers’ Perspectives on Listening Skills Education in Turkey and Northern Cyprus

The effectiveness of virtual reality-based technology on foreign language vocabulary teaching to children with attention deficiency hyperactivity disorder

Examining Conjoint Behavioral Consultation to Support 2e-Autism Spectrum Disorder and Gifted Students in Preschool with Academic and Behavior Concerns

Prof. Dr. Shih-Lin Chang | Artificial Intelligence Awards | Best Researcher Award

Posted on 19/12/2024 by ScienceFather

Prof. Dr. Shih-Lin Chang | Artificial Intelligence Awards | Best Researcher Award

Prof. Dr. Shih-Lin Chang, National Yang Ming Chiao Tung University, Taiwan

Dr. Shih-Lin Chang, is a distinguished cardiologist and academic leader in the field of cardiovascular medicine. He is currently the Chief of the Department of Experimental Examination at Taipei Veterans General Hospital and the Director of the Intelligent Medicine and Telehealth Center within the Cardiovascular Center. Dr. Chang is also a Professor of Medicine at National Yang Ming Chiao Tung University, where he has contributed significantly to research and education in cardiology. Dr. Chang completed his M.D. at China Medical University in 1998 and earned his Ph.D. from National Yang Ming Chiao Tung University in 2012. He underwent extensive training, including a residency in Internal Medicine and fellowships in cardiology and electrophysiology at Taipei Veterans General Hospital. His professional journey includes significant roles such as Staff Cardiologist and Associate Director of the Cardiovascular Research Center at National Yang Ming Chiao Tung University.

Professional Profile:

SCOPUS

Suitability for Best Researcher Award: Shih-Lin Chang, M.D., Ph.D.

Shih-Lin Chang exemplifies the qualities and achievements that make him an outstanding candidate for the Best Researcher Award. With a robust educational background, including an M.D. from China Medical University and a Ph.D. from National Yang Ming Chiao Tung University, Dr. Chang has established himself as a leading figure in cardiology and electrophysiology.

🎓 Education

M.D.: China Medical University, Taiwan (1991–1998)
Ph.D.: National Yang Ming Chiao Tung University, Institute of Clinical Medicine, Taiwan (2007–2012)

💼 Work Experience

2023.8: Chief, Department of Experimental Examination, Taipei Veterans General Hospital Healthcare and Services Center
2023.1: Director of Intelligent Medicine and Telehealth Center, Department of Cardiovascular Center
2022.7: Associate Director, Cardiovascular Research Center, National Yang Ming Chiao Tung University
2019.8: Professor of Medicine, National Yang Ming Chiao Tung University, School of Medicine
2017.10–2020.10: Director, Heart Rhythm Center, Taipei Veterans General Hospital
2016.8–2019.8: Associate Professor of Medicine, National Yang Ming Chiao Tung University
2015.3–2017.3: Secretary-General, Taiwan Heart Rhythm Society
2009.3–Present: Staff Cardiologist, Division of Cardiology, Taipei Veterans General Hospital
2006–2009.3: Staff Cardiologist, Division of Cardiology, Suao Veterans Hospital
2004–2006: Fellowship, Clinical and Basic Electrophysiology Laboratory, Taipei Veterans General Hospital
2003–2005: Fellowship, Division of Cardiology, Taipei Veterans General Hospital
2000–2003: Resident, Department of Internal Medicine, Taipei Veterans General Hospital

🏆 Awards and Honors

Poster Award: 2nd Asia-Pacific Atrial Fibrillation Symposium (2006) 🖼️
First Prize: Young Investigator Award, Taiwan Society of Cardiology (2010) 🥇
Young Investigator Award: 3rd Asia-Pacific Heart Rhythm Society (2010) 🏅
Best Oral Presentation Award: Taiwan Society of Cardiology (2011) 🎤
Best Poster Presentation Award: Taiwan Society of Cardiology (2013) 🖼️
Best Teacher Award: National Yang Ming University (2014, 2016, 2019) 🎓
Best Paper Award: Veterans General Hospitals and University System of Taiwan Joint Research Program (2015, 2018, 2019, 2021) 📝
PBL Tutor Award: National Yang Ming University (2017) 👩‍🏫
Outstanding Journal Paper Special Excellence Award: Taiwan Society for Simulation in Healthcare (2021) 🌟
Gold Award: Outstanding Academic Research Paper in Medical Education, Taipei Veterans General Hospital (2022) 🥇
National Healthcare Quality Award: Smart Services Category (2022) 🏥
Clinical Teaching Excellence Award: Taipei Veterans General Hospital (2023) 📚

🌟 Achievements

Active roles as editor for Acta Cardiologica Sinica (2015–Present) and Clinical Medicine (2014–Present).
Member of APHRS EP Ablation and Digital Health Committees (2024).
Numerous oral and poster presentations at international cardiology conferences.
Invited faculty/speaker at prestigious global cardiology events, including the European Society of Cardiology Congress and Heart Rhythm Society Annual Scientific Sessions.

Publication Top Notes:

Performance of the novel ANTWERP score in predicting heart function improvement after atrial fibrillation ablation in Asian patients with heart failure

Three-dimensional mapping and superior approach for catheter ablation in patients without inferior vena cava access

Effectiveness and safety of non-vitamin K antagonist oral anticoagulants in low-weight patients with atrial fibrillation

Multistep Algorithm to Predict RVOT PVC Site of Origin for Successful Ablation Using Available Criteria: A Two-Center Cross-Validation Study

Frailty and Its Associated Factors in Patients With Atrial Fibrillation: A Cross-Sectional Study

Prof. Jin Ho Suh | Deep Neural Network Awards | Best Researcher Award

Posted on 12/12/2024 by ScienceFather

Prof. Jin Ho Suh | Deep Neural Network Awards | Best Researcher Award

Prof. Jin Ho Suh, Pukyong National University, South Korea

Dr. Jin-Ho Suh is a distinguished professor and expert in robotics, currently leading the Field Robotics Laboratory (FRLab) within the Major of Mechanical System Engineering at Pukyong National University, South Korea. With a Ph.D. in Control Engineering from the Tokyo Institute of Technology, Japan, and over two decades of academic and professional experience, Dr. Suh has significantly contributed to the fields of robotics and mechanical systems. He has held prominent roles, including Director of the Institute of Control, Robotics, and Systems, and is a Senior Member of IEEE. His leadership extends to national initiatives as the Chairman of the National Core Technology Committee for Robotics in South Korea and as an expert member of the Presidential Advisory Council on Science & Technology.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Prof. Jin-Ho Suh

Prof. Jin-Ho Suh, a distinguished researcher in the field of robotics and control engineering, holds a Ph.D. in Control Engineering from the Tokyo Institute of Technology and currently serves as a professor at Pukyong National University in South Korea. His extensive academic and professional experience, combined with significant contributions to the field, makes him an excellent candidate for the Best Researcher Award.

Education 🎓

Ph.D. in Control Engineering
Tokyo Institute of Technology, Japan (Dec 1998 – Mar 2002)
Master of Engineering
Graduate School of Engineering, Pukyong National University, South Korea (Mar 1996 – Feb 1998)
Bachelor of Science in Mathematics
Hanyang University, South Korea (Mar 1989 – Feb 1993)

Work Experience 🛠️

Professor (Sep 2018 – Present)
Major of Mechanical System Engineering, Pukyong National University
Senior Member (Nov 2022 – Present)
Institute of Electrical and Electronics Engineers (IEEE)
Director
- Institute of Control, Robotics, and Systems (Jan 2022 – Present)
- Korean Society for Precision and Engineering (Jan 2020 – Present)
- Korea Robotics Society (Jan 2018 – Present)
- Korean Society for Power System Engineering (Jan 2017 – Present)
Chairman of the National Core Technology Committee (Robot) (Nov 2017 – Present)
Korean Association for Industrial Technology Security
Expert Member (Jan 2021 – Present)
Presidential Advisory Council on Science & Technology, South Korea
Adjunct Professor (Dec 2013 – Aug 2018)
Department of Mechanical Engineering, POSTECH
Director of R&D Division (Apr 2006 – Aug 2018)
Korea Institute of Robotics and Convergence Technology (KIRO)
Post-Doctoral Fellow (Jun 2003 – Feb 2006)
National Research Laboratory, Dong-A University

Achievements 🏆

Patents
- 28 patents (7 international PCT)
Publications
- 14 papers in international journals (13 SCI)
- 23 papers in domestic journals (15 SCOPUS)
- 15 papers in international conferences
- 60 papers in domestic conferences

Awards and Honors 🌟

Director Roles in Leading Engineering Societies
- Institute of Control, Robotics and Systems
- Korea Robotics Society
- Korean Society for Precision and Engineering
Presidential Advisory Council Member
- Significant contributions to national robotics and precision engineering strategies.
Chairman, National Core Technology Committee (Robot)
- Recognized leader in industrial robotics technology and security.

Publication Top Notes

Artificial Neural Network for Glider Detection in a Marine Environment by Improving a CNN Vision Encoder

Development of a Multi-Robot System for Pier Construction

Model-Free RBF Neural Network Intelligent-PID Control Applying Adaptive Robust Term for Quadrotor System

Development of Fishcake Gripping and Classification Automation Process Based on Suction Shape Transformation Gripper

Estimation and Control of a Towed Underwater Vehicle with Active Stationary and Low-Speed Maneuvering Capabilities

Adaptive Robust RBF-NN Nonsingular Terminal Sliding Mode Control Scheme for Application to Snake Robot’s Head for Image Stabilization

Development of Recovery System for Underwater Glider

Dr. Nicoleta Anton | Artificial Intelligence Awards | Best Researcher Award

Posted on 09/12/2024 by ScienceFather

Dr. Nicoleta Anton | Artificial Intelligence Awards | Best Researcher Award

Dr. Nicoleta Anton is affiliated with the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania.

Dr. Nicoleta Anton is a senior lecturer in Ophthalmology at the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania. With a medical degree and a Ph.D. in Medical Sciences specializing in Ophthalmology, she has extensive clinical experience as a primary care physician at St. Spiridon Hospital and previously worked as an ophthalmologist at several esteemed institutions, including St. Spiridon University Hospital and Euro Medi Center. Dr. Anton has been involved in academia since 2015, supervising undergraduate students and conducting research, with a notable record of published articles and contributions to various scientific conferences. She is an active member of several professional societies, including the Romanian Society of Ophthalmology and the European Society of Retina Specialists, and she continually enhances her expertise through ongoing training and participation in international workshops.

Professional Profile:

SCOPUS

Summary

Dr. Nicoleta Anton’s combination of academic excellence, clinical expertise, research productivity, leadership experience, and professional involvement makes her a strong candidate for the Research for Best Researcher Award. Her contributions not only advance the field of Ophthalmology but also have a positive impact on patient care and the academic community.

Education and Training

2021 – Present: Senior Lecturer, Ph.D. in Ophthalmology
2021: Health Services Management Certificate
2016: Ph.D. in Medical Sciences, Ophthalmology
2011 – 2016: Ph.D. Candidate, Gr. T. Popa University of Medicine
2005 – 2011: MD, Gr. T. Popa University of Medicine

Professional Summary

Dr. Nicoleta Anton is a dedicated ophthalmologist and senior lecturer at the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania. With extensive experience in both clinical practice and academic settings, she is committed to advancing the field of ophthalmology through education, research, and patient care.

Work Experience

2021 – Present: Senior Lecturer, Ph.D. in Ophthalmology, Surgery II Department
2017 – Present: Primary Care Physician, Ophthalmology, St. Spiridon Hospital, Iași
2015 – 2021: Assistant Professor, Gr. T. Popa University of Medicine and Pharmacy
2011 – 2017: Ophthalmologist at St. Spiridon University Hospital and various private practices
2011 – 2016: PhD Candidate, Gr. T. Popa University of Medicine and Pharmacy
2012 – Present: Clinical Advisor, NovioSense BV, Nijmegen, Netherlands
2006 – 2010: Resident Physician in Ophthalmology, St. Spiridon University Hospital

Research and Publications

Dr. Anton has authored and co-authored over 10 books and published 16 articles in Web of Science journals, contributing significantly to ophthalmology research. Her work has garnered a Hirsch index of 6 with over 100 citations.

Professional Affiliations

Romanian Society of Ophthalmology (2006-present)
European Society of Retina Specialists (2011-present)
European Society of Ophthalmology (2011-present)

Publication Top Notes

The use of artificial neural networks in studying the progression of glaucoma

Navigating Surgical Challenges: Managing Juvenile Glaucoma in a Patient with Dorfman–Chanarin Syndrome

A Mini-Review on Gene Therapy in Glaucoma and Future Directions

White Light Diffraction Phase Microscopy in Imaging of Breast and Colon Tissues

Initial Clinical Experience with Ahmed Valve in Romania: Five-Year Patient Follow-Up and Outcomes

Odontogenic Orbital Cellulitis at the Crossroads of Surgeries: Multidisciplinary Management and Review

Dr. Seyed Reza Nabavi | Nueral Network Awards | Best Researcher Award

Posted on 25/11/2024 by ScienceFather

Dr. Seyed Reza Nabavi | Nueral Network Awards | Best Researcher Award

Dr. Seyed Reza Nabavi, University of Mazandaran, Iran

Dr. Seyed Reza Nabavi is an Associate Professor of Applied Chemistry in the Department of Applied Chemistry at the University of Mazandaran, Babolsar, Iran. he earned his Ph.D. in Applied Chemistry from the University of Tabriz in 2009, focusing on hybrid modeling and artificial intelligence applications for olefin process optimization. As a visiting scholar at the National University of Singapore in 2008, Dr. Nabavi further honed his expertise in chemical and biomolecular engineering. His teaching repertoire spans diverse topics, including transport phenomena, chemical reactor design, and chemical process modeling at both undergraduate and postgraduate levels. A prolific researcher, his interests lie in polymer nanotechnology, catalytic processes, machine learning in chemical process optimization, and pyrolysis. Notably, he has collaborated on significant projects, such as studying coke formation and inhibitors in naphtha thermal cracking at the bench scale, bridging academia and industry. Married and based in Iran, Dr. Nabavi has received recognition for his academic excellence, including being the top-ranked B.Sc. graduate.

Professional Profile:

ORCID

Suitability for Best Researcher Award: Seyed Reza Nabavi

Based on the provided curriculum vitae, Dr. Seyed Reza Nabavi demonstrates exceptional qualifications that make him a strong candidate for the Best Researcher Award. Below is a summary of his key accomplishments and attributes supporting his suitability for this recognition

🎓 Educational Background

Ph.D. in Applied Chemistry (2009), University of Tabriz 🧬
Thesis: Application of Hybrid Modeling and Artificial Intelligence in Modeling and Optimization of Olefin Processes.
- Visiting Scholar: National University of Singapore (Apr-Dec 2008).
M.Sc. in Applied Chemistry (2003), University of Tabriz 🧵
Thesis: Preparation and Characterization of Conducting Polyaniline/Nylon-6 Composite Fibers.
B.Sc. in Applied Chemistry (2000), University of Sistan and Baluchestan 🏛️
- 🎖️ First Rank among graduate students.

👨‍🏫 Teaching Experience

Expertise in teaching at M.Sc. and B.Sc. levels 📚, including advanced courses:
- Transport Phenomena, Design of Experiments (DOE), Chemical Reactors, Process Control, and Petrochemical Processes.
- Proficient in Modeling and Simulation and Unit Operation Laboratories.

🔬 Research Interests

Nanotechnology of Polymers: Electrospinning and Nanofiber Membranes 🧵.
Catalytic Processes: Ozonation, Photocatalysts, and Reaction Engineering ⚗️.
Modeling and Optimization: Applying Machine Learning and Evolutionary Algorithms 🤖.
Thermal Cracking & Pyrolysis: Exploring Coke Formation and Mitigation 🔥.

🏅 Academic Positions

Associate Professor: 2022 – Present, University of Mazandaran 🏫.
Assistant Professor: 2012 – 2022, University of Mazandaran.

🧪 Research Highlights

Lead researcher in projects like Coke Formation and Inhibitors in thermal cracking of naphtha (collaboration with Tabriz Petrochemical Company) 🛢️.
Published impactful research on polymers, reaction engineering, and optimization using cutting-edge AI techniques.

Publication top Notes:

Multi-Criteria Decision Making in Chemical and Process Engineering: Methods, Progress, and Potential

A liter scale synthesis of hierarchically mesoporous UiO-66 for removal of large antibiotics from wastewater

Data-Based Modeling, Multi-Objective Optimization and Multi-Criteria Decision Making of a Catalytic Ozonation Process for Degradation of a Colored Effluent

A bacterial cellulose-based LiSrVO4:Eu3+ nanosensor platform for smartphone sensing of levodopa and dopamine: point-of-care diagnosis of Parkinson’s disease

Parametric optimization of poly(ether sulfone) electrospun membrane for effective oil/water separation

Deep Learning Aided Multi-Objective Optimization and Multi-Criteria Decision Making in Thermal Cracking Process for Olefines Production

Prof. Catalin Dumitrescu | Artificial Intelligence Awards | Excellence in Research

Posted on 20/11/2024 by ScienceFather

Prof. Catalin Dumitrescu | Artificial Intelligence Awards | Excellence in Research

Prof. Catalin Dumitrescu, University Politehnica of Bucharest, Romania

Dr. Cătălin Dumitrescu is an Associate Professor and R&D Scientific Adviser specializing in Computing and Artificial Intelligence at the Department of Electronics & Telecommunications, Transportation Engineering Faculty, University Politehnica of Bucharest (UPB), Romania. With a Ph.D. in Digital Signal Processing and Machine Learning from UPB, he possesses extensive expertise in artificial intelligence, machine learning, and digital signal processing, particularly in applications related to defense, cybersecurity, and multimedia security. Dr. Dumitrescu has over 20 years of R&D experience in the defense industry, including roles in machine learning systems for IMINT & SIGINT. He is also a certified expert in Critical Infrastructure Risk Management and Competitive Intelligence.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Excellence in Research: Dr. Catalin Dumitrescu

Dr. Catalin Dumitrescu exemplifies excellence in research through his extensive expertise, academic credentials, professional experience, and impactful contributions in the fields of Artificial Intelligence, Machine Learning, and Digital Signal Processing, particularly in applications for defense, transportation, and security.

Education

🎓 Ph.D. in Digital Signal Processing & Machine Learning – University Politehnica of Bucharest.
📜 Engineering Degree in Signal and Image Processing – Transportation Engineering Faculty, UPB.
🎓 Postgraduate Degree in International Business & Economics – Bucharest University of Economic Studies.
📑 Certified Expert in:

Critical Infrastructure Risk Management ⚠️
Competitive Intelligence 🧠

Professional Experience

🔹 2015 – Present: Associate Professor, R&D Adviser in AI & Computing, UPB.
🔹 2018 – Present: R&D Consultant, SOLIDUS AI TECH.
🔹 2015 – 2018: Software Systems Architect, UTI GROUP.
🔹 1995 – 2015: R&D Military Officer, Defense Advanced Technology Institute.
🔹 1986 – 1995: Electronics Engineer, Transport Research Institute.

💡 Career Highlights:

20+ years of experience in Machine Learning, AI, and Cyber Defence.
Expertise in IMINT & SIGINT for the defence sector 🛡️.
Development of advanced algorithms and software architecture for signal processing and AI systems.

Research Interests

🔍 Core Areas:

Artificial Intelligence & Machine Learning 🤖
Digital Signal Processing 📡
Neural Networks for Audio & Image Analysis 🎧🖼️
Cyber Security & Forensics 🕵️‍♂️
Cognitive Radio Systems 📻

🔍 Specialized Focus:

Deep Learning for object detection and classification 🖥️
Brain-Computer Interfaces 🧠
EEG, EKG, and EMG signal analysis 📊
Cryptography & Multimedia Security 🔒

Teaching Expertise

📚 Courses include:

Cyber Security & Defence 🔐
Digital Image Processing 📷
Real-Time Signal Processing ⏱️
Multimedia Forensics and Security 🎥

Publication top Notes:

Fuzzy logic for intelligent control system using soft computing applications

CITED:61

Development of an acoustic system for UAV detection

CITED:60

Using brain-computer interface to control a virtual drone using non-invasive motor imagery and machine learning

CITED:21

Aircraft trajectory tracking using radar equipment with fuzzy logic algorithm

CITED:21

Internal Auditing & Risk Management, No. 4 (56)

CITED:17

Monitoring system with applications in road transport

CITED:17