Ahmet Güneyli | Artificial intelligence Awards | Best Researcher Award

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Prof. Dr. Ahmet Güneyli | Artificial intelligence Awards | Best Researcher Award 

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

 

Assoc. Prof. Dr. Mahmoud Bayat | Artificial intelligence Award | Best Researcher Award

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Assoc. Prof. Dr. Mahmoud Bayat | Artificial intelligence Award | Best Researcher Award

Assoc. Prof. Dr. Mahmoud Bayat, Research Institute of Forests and Rangelands, Iran

Mahmoud Bayat is an Assistant Professor at the Research Institute of Forests and Rangelands, part of the Agricultural Research, Education, and Extension Organization (AREEO) in Tehran, Iran. He earned his B.A., M.Sc., and Ph.D. degrees from the University of Tehran, specializing in forestry science. Mahmoud has collaborated with renowned researchers, including Dr. Charles P.-A. Bourque, Dr. Pete Bettinger, Dr. Eric Zenner, Dr. Aaron Weiskittel, Dr. Harold Burkhart, and Dr. Timo Pukkala. His research focuses on forest modeling and inventory, with particular interest in applying artificial intelligence and machine learning techniques in forestry. Currently, he is working on projects related to growth and yield models for uneven-aged and mixed broadleaf forests using neural networks and the monitoring and mapping of tree species richness in northern Iran’s forests through symbolic regression and artificial neural networks. Mahmoud is proficient in statistical tools such as SPSS and MATLAB, and he is eager to share his expertise and discuss potential collaborations. For more information, his profiles can be found on ResearchGate, Google Scholar, and Scopus.

Professional Profile:

SCOPUS

 

Mahmoud Bayat’s Suitability for the Research for Best Researcher Award

Based on the provided details, Mahmoud Bayat demonstrates a strong candidacy for the Research for Best Researcher Award due to his extensive academic and professional contributions. Below is a summary supporting his suitability

Education 🎓

  • Ph.D. in Forestry Science
    University of Tehran, Iran
  • M.Sc. in Forestry Science
    University of Tehran, Iran
  • B.A. in Forestry Science
    University of Tehran, Iran

Work Experience 🏢

  • Assistant Professor
    Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO)
    Tehran, Iran
    Year: [Specify Year] – Present
  • Research Collaborator
    Worked with:

    • Dr. Charles P.-A. Bourque
    • Dr. Pete Bettinger
    • Dr. Eric Zenner
    • Dr. Aaron Weiskittel
    • Dr. Harold Burkhart
    • Dr. Timo Pukkala

Research Interests 🔍

  • Forest modeling and inventory
  • Application of artificial intelligence and machine learning in forestry

Current Projects 📊

  1. Growth and Yield Models for Uneven-Aged and Mixed Broadleaf Forest
    • Method: Neural Network
  2. Monitoring, Mapping, and Modeling Variation in Tree Species Richness
    • Method: Symbolic Regression and Artificial Neural Networks
    • Location: Northern Iran Forests

Publication Top Notes:

Comparison of Random Forest Models, Support Vector Machine and Multivariate Linear Regression for Biodiversity Assessment in the Hyrcanian Forests

Projected biodiversity in the Hyrcanian Mountain Forest of Iran: an investigation based on two climate scenarios

Recreation Potential Assessment at Tamarix Forest Reserves: A Method Based on Multicriteria Evaluation Approach and Landscape Metrics

Comparison between graph theory connectivity indices and landscape connectivity metrics for modeling river water quality in the southern Caspian sea basin

Development of multiclass alternating decision trees based models for landslide susceptibility mapping

Modeling Tree Growth Responses to Climate Change: A Case Study in Natural Deciduous Mountain Forests

 

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

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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:

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. Dr. Tamara Gajic | Artificial Intelligence Awards | Top Researcher Award

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Prof. Dr. Tamara Gajic | Artificial Intelligence Awards | Top Researcher Award 

Prof. Dr. Tamara Gajic, Geographical Institute “Jovan Cvijic” Serbian Academy of Sciences and Arts, Belgrade, Serbia

Tamara Gajić is a distinguished Senior Research Associate at the Geographical Institute “Jovan Cvijić” of the Serbian Academy of Sciences and Arts (SASA), specializing in social geography. She holds a Ph.D. in Geosciences from the University of Novi Sad and has extensive experience in research and education across various institutions. Her academic career spans several positions, including Senior Researcher at the Institute of Environmental Engineering, People’s Friendship University of Russia (RUDN University), and Associate Professor at Singidunum University in Belgrade. She has also served as a professor and assistant professor at various universities in Serbia, Bosnia, and Herzegovina. Gajić’s research focuses on rural development, tourism management, and sustainable practices in agritourism, gastrotourism, and sport tourism. She has contributed to numerous projects, including the modernization of tourism study programs in Serbia and feasibility studies for spa tourism. Gajić is an active member of various professional organizations, including the Serbian Geographical Society and the Tourist Organization of Serbia, and has mentored numerous graduate and doctoral students. Her expertise in integrating economics, service quality, and human resources in tourism management has earned her recognition as one of the top 10% of distinguished scientists in Serbia in 2024.

Professional Profile:

SCOPUS

ORCID

GOOGLE SCHOLAR

Suitability of Tamara Gajić for the Top Researcher Award

Tamara Gajić is highly qualified for the Top Researcher Award due to her extensive academic and professional achievements in the fields of Geography, Rural Studies, and Tourism Management. Below are the key reasons why she is a suitable candidate for this prestigious award:

Academic Degrees:

🎓 Ph.D. in Geosciences
📅 2010
University of Novi Sad, Faculty of Sciences, Department of Geography, Tourism and Hotel Management, Serbia 🇷🇸

🎓 M.Sc. in Tourism Management
📅 2007
University of Novi Sad, Faculty of Sciences, Department of Geography, Tourism and Hotel Management, Serbia 🇷🇸

🎓 B.Sc. in Tourism Management
📅 2001
University of Novi Sad, Faculty of Sciences, Department of Geography, Tourism and Hotel Management, Serbia 🇷🇸

Research & Teaching Interests:

🌍 Research Areas:

  • Geography 🌍
  • Rural Studies 🌾
  • Tourism Management 🌐
    Focus on Agrotourism, Gastrotourism, and Sport Tourism 🏞️🍴🏃‍♀️
    Intersection of Economics in Tourism, Service Quality, and Human Resources 💼
    Sustainability in Environment and Tourism 🌱

Previous Employment:

  • Associate Professor
    📅 February 2021 – September 2021
    Faculty of Tourism and Hotel Management, Singidunum University, Belgrade, Serbia 🇷🇸
  • Assistant Professor
    📅 October 2018 – February 2022
    University for Business Studies, Banja Luka, Bosnia and Herzegovina 🇧🇦
  • Professor of Vocational Studies
    📅 October 2008 – February 2021
    Novi Sad Business School, Novi Sad, Serbia 🇷🇸

Publication top Notes:

Innovative Approaches in Hotel Management: Integrating Artificial Intelligence (AI) and the Internet of Things (IoT) to Enhance Operational Efficiency and Sustainability

The Contribution of the Farm to Table Concept to the Sustainable Development of Agritourism Homesteads

Fostering Sustainable Urban Tourism in Predominantly Industrial Small-Sized Cities (SSCs)—Focusing on Two Selected Locations

Leveraging digital platforms for responsible sports tourism: Budapest’s role in the 2020 European football championship

Tourists’ Willingness to Adopt AI in Hospitality—Assumption of Sustainability in Developing Countries

The Adoption of Artificial Intelligence in Serbian Hospitality: A Potential Path to Sustainable Practice

Mr. Omer Tariq | Artificial Intelligence Award | Best Researcher Award

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Mr. Omer Tariq | Artificial Intelligence Award | Best Researcher Award 

Mr. Omer Tariq, Korea Advanced Institute of Science and Technology, KAIST, South Korea

Omer Tariq is a Ph.D. candidate at the Korea Advanced Institute of Science and Technology (KAIST), specializing in efficient and privacy-preserving deep learning for AIoT and autonomous systems. With a strong foundation in digital ASIC design, embedded systems, and hardware design, Omer has over seven years of experience in developing and deploying innovative machine learning solutions using TensorFlow, TensorRT, and PyTorch. His research includes advanced robotics software systems, autonomous navigation, and state-of-the-art motion planning algorithms. He has led teams in high-performance SoC/RTL design and verification at the National Electronics Complex, Pakistan, and contributed to satellite imaging systems at SUPARCO. Omer holds a BSc in Electrical Engineering from the University of Engineering and Technology, Taxila, and has published several papers in prominent journals. His technical skills are complemented by a range of certifications in machine learning, data science, and digital signal processing.

Professional Profile:

Summary of Suitability for Best Researcher Award

Omer Tariq is a Ph.D. candidate specializing in efficient and privacy-preserving deep learning for AIoT and Autonomous Systems. His work is highly relevant to current technological advancements and addresses significant challenges in machine learning, robotics, and autonomous systems. His research includes:

Education

Korea Advanced Institute of Science and Technology (KAIST)
Doctor of Philosophy (Ph.D.) in Computer Science
May 2021 – July 2025

  • Majors: Machine Learning & AI
  • CGPA: 3.74/4.3
  • Coursework: Programming for AI, Introduction to Artificial Intelligence, Design and Analysis of Algorithms, Intelligent Robotics, Human-Computer Interaction, Artificial Intelligence and Machine Learning, Technical Writing for Computer Science, Advanced Machine Learning, IoT Datascience

University of Engineering and Technology (UET), Taxila
Bachelor of Science in Electrical Engineering
Nov 2010 – July 2014

  • CGPA: 3.25/4.0
  • Thesis: Computer Vision-Assisted Object Detection and Control Framework for 3-DoF Robotic Arm
  • Area: Microelectronics, Control Systems, and Advanced Computer Architecture

Work Experience

Department of Industrial & Systems Engineering (ISysE), KAIST
Research Assistant
Nov. 2023 – March 2024

  • Designed and developed the electronics and power management module for the DAIM-Autonomous Mobile Robot, enhancing operational efficiency and reliability.
  • Engineered advanced robotics software systems for autonomous navigation and task execution.
  • Implemented state-of-the-art robot motion planning, mapping, and localization (SLAM) algorithms to improve real-time navigation accuracy.

National Electronics Complex, Pakistan (NECOP)
Engineering Manager & Team Lead
Apr. 2019 – Sep. 2022

  • Led verification and validation of high-performance SoC/RTL designs, ensuring system performance and reliability.
  • Spearheaded RTL development and optimization for high-performance IC designs, including logic synthesis, DFT, scan chain insertion, formal verification, and static timing analysis.
  • Managed the use of Synopsys and Cadence EDA tools for front-end and back-end digital IC design processes.

National Space Agency, Pakistan (SUPARCO)
Assistant Manager
Oct. 2014 – Apr. 2019

  • Designed and developed satellite imaging payload systems for national satellite missions.
  • Engineered high-speed, multi-layer PCB designs and conducted signal/power integrity simulations for satellite systems.
  • Developed embedded systems for the Satellite Ku-Band Positioning Unit, enhancing communication and positioning capabilities.

Publication top Notes:

2D Particle Filter Accelerator for Mobile Robot Indoor Localization and Pose Estimation

TabCLR: Contrastive Learning Representation of Tabular Data Classification for Indoor-Outdoor Detection

Compact Walsh–Hadamard Transform-Driven S-Box Design for ASIC Implementations

DeepIOD: Towards A Context-Aware Indoor–Outdoor Detection Framework Using Smartphone Sensors