Prof Ivana Bajšanski | Decision-making and Problem-solving | Best Researcher Award

Prof Ivana Bajšanski | Decision-making and Problem-solving | Best Researcher Award

University of Novi Sad, Faculty of Technical Sciences, Department of Architecture, Serbia

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Early Academic Pursuits 🎓

Ivana Bajšanski began her academic journey with a focus on architecture, pursuing both her bachelor’s and master’s degrees at the Faculty of Technical Sciences, University of Novi Sad. Her undergraduate and graduate years were marked by a strong interest in the impact of architecture on urban environments, with particular attention to sustainability and thermal comfort in city spaces. Her master’s thesis, titled “The Algorithm for Improving the Thermal Comfort in Urban Environment,” reflects her dedication to environmental issues within architectural design. This project laid the groundwork for her doctoral studies, where she continued to refine her research on enhancing thermal comfort in urban spaces, aiming to improve living conditions in densely populated areas through innovative architectural solutions.

Professional Endeavors 💼

Since February 2010, Bajšanski has served as an Associate Professor at the University of Novi Sad’s Faculty of Technical Sciences. In this role, she has been responsible for mentoring students, guiding them through the complexities of architectural design, and contributing to the academic growth of the department. Her teaching approach integrates practical design skills with a strong theoretical foundation in environmental analysis, preparing her students to become leaders in sustainable architecture. Bajšanski has been actively involved in faculty initiatives, bringing her expertise in environmental and procedural modeling to the classroom and fostering an atmosphere of innovation and forward-thinking.

Her career in academia has also included involvement in significant projects that address urban planning issues in Serbia and the broader European region. These projects highlight her commitment to bridging academia and practical urban development, emphasizing her belief that architectural solutions should address real-world challenges.

Contributions and Research Focus 🔍

Ivana Bajšanski’s research focuses primarily on sustainable urban development and the optimization of architectural design to improve urban thermal comfort. Her academic work combines advanced digital tools, including 3D modeling software like AutoCAD, Rhinoceros, and SketchUp, with environmental analysis platforms such as LadyBug and Honeybee. These tools allow her to conduct thorough environmental assessments and simulations that inform her design recommendations, especially in terms of sustainability and energy efficiency.

One of her notable projects, “Optimisation of Architectural Design and Urban Planning Process in Terms of Sustainable Development of Serbia,” funded by the Serbian Ministry of Education, Science, and Technological Development, examines sustainable architecture and urban planning principles. This project is dedicated to enhancing the ecological and energy efficiency aspects of architectural practices in Serbia, focusing on reducing urban heat and optimizing building designs for local climate conditions. Additionally, she has worked on “Scientific and Artistic Research Work of Researchers in Teaching and Associate Positions at the Faculty of Technical Sciences,” which further underscores her commitment to the nexus of design, research, and sustainable development.

In a collaborative effort under the Interreg–IPA Cross-border Cooperation Programme Hungary–Serbia, Bajšanski contributed to a project titled “Monitoring, Forecasting, and Development of Online Public Early Warning System for Extreme Precipitations and Pluvial Floods in Urban Areas in the Hungarian-Serbian Cross-border Region.” This project is significant because it addresses the increased risk of extreme weather events in the region, aiming to provide cities with tools to mitigate flood impacts. Her research approach blends architecture with environmental science, indicating her interdisciplinary outlook on problem-solving in urban spaces.

Accolades and Recognition 🏅

Ivana Bajšanski has been widely recognized for her contributions to architecture and urban planning, particularly in the field of sustainable development. Her expertise in environmental modeling, parametric design, and thermal comfort optimization has earned her a respected position in her academic community. Her contributions to projects funded by the Serbian Ministry of Education, Science, and Technological Development are a testament to her influence in national urban planning initiatives. Furthermore, her involvement in the ERASMUS+ Triplex Confinium project, which addresses educational gaps in architecture and urban planning along the borders of Romania, Hungary, and Serbia, highlights her dedication to enhancing academic collaboration across borders. This project allows her to work with international colleagues to bridge educational disparities, thereby fostering cross-cultural learning and cooperation in architecture.

Impact and Influence 🌍

Ivana Bajšanski’s work in sustainable urban planning has had a notable impact on both local and regional levels. Her research offers valuable insights into reducing urban heat islands, enhancing public safety during extreme weather events, and promoting sustainable building practices in Serbia and its neighboring countries. Her collaboration on the Interreg-IPA project has been particularly influential, as it not only contributes to scientific understanding but also provides practical solutions for city planning authorities dealing with climate-related challenges. By advocating for green architecture and sustainable urban design, Bajšanski has influenced the adoption of eco-friendly policies and practices, underscoring her commitment to environmental stewardship.

Legacy and Future Contributions 🌱

Looking forward, Ivana Bajšanski is poised to continue her impactful work in sustainable architecture and urban planning. Her future contributions will likely focus on further integrating digital tools with architectural design, enhancing the capability of urban planners and architects to create resilient, climate-adaptive cities. Bajšanski’s ongoing academic role will ensure that her knowledge and insights are passed on to future generations of architects, instilling in them a sense of responsibility for creating sustainable and livable urban environments. Her commitment to environmental analysis, digital modeling, and cross-border collaboration positions her as a leading figure in shaping the future of urban architecture in Southeast Europe.

In summary, Ivana Bajšanski’s career has been marked by a dedication to sustainable urban planning, impactful research, and academic excellence. Her work not only addresses the environmental challenges of today but also lays the groundwork for future innovations in urban design, ensuring that her legacy will continue to inspire architects and urban planners for years to come.

📝Notable Publications

Influence of changing trees locations on thermal comfort on street parking lot and footways

Authors: DD Milošević, IV Bajšanski, SM Savić

Journal: Urban Forestry & Urban Greening

Year: 2017

Evaluation and improvement of outdoor thermal comfort in urban areas on extreme temperature days: Applications of automatic algorithms

Authors: IV Bajšanski, DD Milošević, SM Savić

Journal: Building and Environment

Year: 2015

Development of an automated urban climate monitoring system in Novi Sad (Serbia)

Authors: I Šećerov, S Savić, D Milošević, V Marković, I Bajšanski

Journal: Geographica Pannonica

Year: 2015

Effect of tree location on mitigating parking lot insolation

Authors: I Bajsanski, V Stojakovic, M Jovanovic

Journal: Computers, Environment and Urban Systems

Year: 2016

The influence of changing location of trees in urban green spaces on insolation mitigation

Authors: V Stojakovic, I Bajsanski, S Savic, D Milosevic, B Tepavcevic

Journal: Urban Forestry & Urban Greening

Year: 2020

Dr. sebastian simon | Decision-making and Problem-solving | Best Researcher Award

 

Dr. sebastian simon | Decision-making and Problem-solving | Best Researcher Award

Orthopaedic hospital vienna speising Michael ogon laboratory for orthopaedic research, Austria

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Early Academic Pursuits 📚

Dr. Sebastian Simon’s academic journey began with his high school diploma obtained in July 2011 from a school in Purkersdorf, Austria. His passion for the medical field led him to the prestigious Medical University of Vienna, where he completed his Medical Doctor (MD) degree in July 2018. This foundational education provided him with a robust understanding of medical sciences and set the stage for his future pursuits in both medicine and law.

Building on his medical education, Dr. Simon furthered his studies by enrolling in the Philosophical Doctor (PhD) program at the Medical University of Vienna, specializing in Musculoskeletal and Dental Research. This program, which he commenced in October 2020, allowed him to delve deeper into the complexities of orthopedic science, equipping him with the knowledge and research skills necessary to contribute meaningfully to the field. Additionally, in April 2023, he earned a Master of Laws (LL.M.) in Medical Law from Johannes Kepler University Linz, showcasing his dedication to integrating legal aspects into his medical practice and research.

Professional Endeavors 💼

Dr. Simon’s professional journey is marked by significant contributions in both clinical practice and research. Since December 2019, he has been a resident at the Orthopedic and Traumatology department of the Orthopedic Hospital Vienna Speising. In this capacity, he has been involved in treating patients with various orthopedic conditions, gaining practical experience that complements his academic background.

In addition to his clinical work, Dr. Simon has been a researcher at the Michael-Ogon Laboratory for Orthopedic Research since September 2020. This position has allowed him to explore innovative approaches to orthopedic challenges, focusing on advancing the understanding of musculoskeletal disorders and enhancing patient outcomes through research.

His early experiences in various clinical fellowships, including roles at Sarawak General Hospital in Malaysia and Hanusch Hospital in Vienna, have enriched his perspective on orthopedic medicine. Through these fellowships, he developed a global outlook on healthcare practices, broadening his expertise in diverse medical environments.

Contributions and Research Focus 🔬

Dr. Simon’s research is primarily focused on musculoskeletal health, with a particular emphasis on the intersection of orthopedic practices and emerging technologies. One notable project he undertook was the analysis of anterior-posterior standing radiographs of the lower extremity using artificial intelligence-based software. This innovative approach aims to enhance the accuracy of measurements and assessments of knee alignment, ultimately contributing to improved treatment protocols for orthopedic patients.

His research is characterized by a commitment to integrating technology into traditional medical practices. By utilizing AI in analyzing medical images, Dr. Simon is at the forefront of a shift toward more precise and personalized healthcare solutions, reflecting a growing trend in the medical field to leverage technology for better patient outcomes.

Accolades and Recognition 🏆

Dr. Simon’s dedication to his research and clinical practice has not gone unnoticed. He received the Michael Freeman Award at the EFORT Congress 2021 for his groundbreaking work on AI in knee alignment assessment. This prestigious accolade underscores the significance of his contributions to orthopedic research and reflects the broader recognition of his work within the medical community.

Additionally, in December 2021, he was awarded the Medical Scientific Fund of the Mayor of the City of Vienna. This funding supports his ongoing research initiatives and exemplifies the city’s commitment to advancing medical research through local talents.

Impact and Influence 🌍

Dr. Simon’s work has the potential to significantly impact orthopedic practices, particularly through his innovative research involving artificial intelligence. By developing new methodologies for analyzing radiographs, he is contributing to a paradigm shift in how orthopedic conditions are diagnosed and treated. His research may pave the way for more efficient treatment plans, ultimately improving patient care and outcomes.

Moreover, his dual focus on medicine and law positions him uniquely to influence policy discussions surrounding medical practices, patient rights, and healthcare regulations. This combination of expertise allows him to advocate for practices that enhance both patient care and legal protections within the healthcare system.

Legacy and Future Contributions 🌱

As Dr. Simon continues his journey in the medical field, his legacy is already taking shape through his research and clinical work. His commitment to advancing orthopedic medicine through technology and legal frameworks will likely inspire future generations of medical professionals to pursue interdisciplinary approaches to healthcare.

Looking ahead, Dr. Simon aims to further his research in AI applications within orthopedics and to contribute to the development of legal standards that support innovative medical practices. His vision for the future includes not only advancing orthopedic research but also ensuring that medical practices evolve in a manner that prioritizes patient welfare and ethical considerations.

Through his ongoing work, Dr. Sebastian Simon is set to make lasting contributions to both the medical and legal fields, ensuring a positive impact on patient care and the healthcare system as a whole. His journey is a testament to the power of interdisciplinary study and the potential for innovation in medicine.

 📝Notable Publications

Virtual Reality-Assisted Informed Consent for Anesthesia: A Prospective and Randomized Proof-of-Concept Study

Authors: Sebastian Simon et al.

Journal: Journal of Clinical Medicine

Year: 2024

High Demand for Psychological Support in Patients Who Have Periprosthetic Hip and Knee Joint Infections: An Analysis of 13,976 Patients

Authors: Sebastian Simon et al.

Journal: The Journal of Arthroplasty

Year: 2024

Prevalence, Risk Factors, Microbiological Results, and Clinical Outcome in Unexpected Positive Intraoperative Cultures in Unclear and Presumed Aseptic Hip and Knee Revision Arthroplasties – A Ten-Year Retrospective Analysis with a Minimum Follow Up of 2 Years

Authors: Sebastian Simon et al.

Journal: Journal of Orthopaedic Translation

Year: 2024

Ceramic Heads With 12/14 Titanium Sleeves Used on Manufacturer-Non-Compatible Retained Femoral Components Do Not Lead to Implant Failure in Revision Hip Arthroplasty

Authors: Sebastian Simon et al.

Journal: The Journal of Arthroplasty

Year: 2024

The Role of BioFire Joint Infection Panel in Diagnosing Periprosthetic Hip and Knee Joint Infections in Patients with Unclear Conventional Microbiological Results

Authors: Sebastian Simon et al.

Journal: Bone & Joint Research

Year: 2024

Mr. Haoran Jiang | Decision-making and Problem-solving | Best Researcher Award |3237

Mr. Haoran Jiang | Decision-making and Problem-solving | Best Researcher Award

Shanghai AI Lab, China

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🌟 Summary

Haoran Jiang is a dedicated researcher in Operations Research and Cybernetics, specializing in weakly supervised and representation learning. With a solid academic foundation and hands-on experience in various advanced research projects, he has published multiple papers in renowned conferences and journals. His commitment to personal growth and community service reflects his leadership skills and passion for knowledge.

🎓 Education

University of Chinese Academy of Sciences (UCAS): M.S. in Operations Research and Cybernetics (Sept. 2021 – Jun. 2024), GPA: 3.82/4, focusing on Weakly Supervised Learning and Representation Learning, with coursework in Pattern Recognition, NLP, and Optimization.

Hunan University (HNU): B.S. in Statistics (Sept. 2017 – Jun. 2021), GPA: 3.85/4 (Rank: 1/29), with coursework in Mathematical Analysis, Probability Theory, and Data Mining.

💼 Professional Experience

As a researcher, Haoran has worked on projects such as Interpretable Semantic Disambiguation (Jun. 2023 – Present), where he developed mechanisms for attribute-based feature extraction. He also contributed to Contrastive Learning for Complementary Label Learning (Aug. 2022 – Mar. 2023), proposing an approach that improved state-of-the-art methods by up to 14.61%. In the Image Tampering Detection project (Aug. 2022 – Oct. 2022), he designed a module for semantic suppression, enhancing detection accuracy. Notably, he established a new X-ray dataset for COVID-19 detection, achieving 72.5% accuracy using zero-shot learning.

🔍 Research Interests

Haoran’s research interests include weakly supervised learning, representation learning, contrastive learning, and image recognition and analysis, alongside optimization techniques.

🏆 Honors & Awards

He has received numerous accolades, including the National Scholarship (Top 1%) and Outstanding Graduate from Hunan Province, as well as multiple prizes in mathematics and translation competitions.

🤝 Community Engagement

Haoran actively engages with the community as a Deputy Grade Leader at HNU, organizing educational events, and as a commissioner for party branch activities at UCAS. He volunteers for various initiatives and is a proud member of the university basketball team.

Notable Publications

Safl-net: Semantic-agnostic feature learning network with auxiliary plugins for image manipulation detection

Authors: Z. Sun, H. Jiang, D. Wang, X. Li, J. Cao

Journal: Proceedings of the IEEE/CVF International Conference on Computer Vision

Year: 2023

Image recognition and empirical application of desert plant species based on convolutional neural network

Authors: J. Li, S. Sun, H. Jiang, Y. Tian, X. Xu

Journal: Journal of Arid Land

Year: 2022

ComCo: Complementary supervised contrastive learning for complementary label learning

Authors: H. Jiang, Z. Sun, Y. Tian

Journal: Neural Networks

Year: 2024

Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes

Authors: H. Jiang, Z. Sun, Y. Tian

Journal: AAAI (Oral)

Year: 2024

Dr. Landi Bai | Decision-making and Problem-solving | Best Researcher Award

Dr. Landi Bai | Decision-making and Problem-solving | Best Researcher Award

Tianjin University, China

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🎓 Education

Landi Bai earned her Ph.D. in Electrical and Information Engineering from Tianjin University in 2024.

💼 Professional Experience

Currently, she serves as an Assistant Research Fellow at the School of Electrical and Information Engineering at Tianjin University.

🔍 Research Interests

Her research focuses on oil-water two-phase flow dynamics, flow pattern evolution, conductance sensors, and recurrence analysis.

📚 Key Contributions

In her recent work, Landi investigates oil-water flow patterns in vertical large-diameter pipes using innovative mini-conductance and multi-electrode array measurement systems. Her findings on flow pattern transitions provide valuable insights for oilfield production logging.

🏆 Publications and Achievements

Landi has published 20 journals in SCI and Scopus, holds 6 patents, and her work has been cited extensively, including a notable publication:
[1] Experimental study of oil-water two-phase flow patterns, Flow Measurement and Instrumentation (2024).

 

Notable Publications

Experimental study of oil-water two-phase flow patterns in a vertical large diameter pipe

Authors: Bai, L., Jin, N., Zhang, J., Ouyang, L., Wang, C.

Journal: Flow Measurement and Instrumentation

Year: 2024

Nonlinear Analysis for Identification of Vertical Upward Oil-Water Two-Phase Flow Patterns

Authors: Zhang, Z., Jin, N., Bai, L., Ren, W., Wei, J.

Journal: IEEE Sensors Journal

Year: 2024

Water Holdup Measurement in Oil-Water Flows with Staggered Double Helix Microwave Sensor

Authors: Bai, L., Jin, N., Ma, J., Liu, W.

Journal: IEEE Sensors Journal

Year: 2023

Measurement of Inclined Oil-Water Two-Phase Flows With the Combination of Electromagnetic Flowmeter and Differential Pressure Sensor

Authors: Liu, Y., Tang, Z., Bai, L., Jiang, B., Jin, N.

Journal: IEEE Sensors Journal

Year: 2023

Soft Measurement of Oil–Water Two-Phase Flow Using a Multi-Task Sequence-Based CapsNet

Authors: OuYang, L., Jin, N., Bai, L., Ren, W.

Journal: ISA Transactions

Year: 2023

Assoc Prof Dr. Tao Li | Decision-making and Problem-solving | Best Researcher Award

Assoc Prof Dr. Tao Li | Decision-making and Problem-solving | Best Researcher Award

China university of mining and Technology, China 

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Scopus 

Early Academic Pursuits 🎓

Li Tao began his academic journey with a Bachelor’s degree from Sun Yat-sen University, where he cultivated a strong foundation in engineering principles. His undergraduate studies laid the groundwork for his future research endeavors, emphasizing a rigorous approach to problem-solving and a commitment to scientific inquiry.

In 2010, Li Tao embarked on his doctoral studies at Dalian University of Technology under the supervision of Professor Chui-jie Wu. His research during this period focused on advancing the understanding of combustion and detonation phenomena, setting the stage for his future work in microscale detonation technologies. His PhD work not only showcased his ability to tackle complex scientific problems but also demonstrated his dedication to pushing the boundaries of engineering knowledge.

Professional Endeavors 🛠️

Upon completing his PhD in 2016, Li Tao transitioned into a role as an Assistant Professor at Dalian University of Technology. This role marked the beginning of his contributions to the field of safety engineering and advanced combustion technologies. His work during this period involved both teaching and research, allowing him to disseminate his knowledge and contribute to the academic community.

In 2018, Li Tao joined the Guangzhou Institute of Energy Conversion as an Assistant Professor. This position provided him with a platform to further his research in energy conversion technologies, including microscale detonation. His work at this institute was marked by significant advancements in understanding flame acceleration and initiation mechanisms, particularly within curved tubes.

Since January 2024, Li Tao has been serving as an Associate Professor at the School of Safety Engineering, China University of Mining and Technology. This role has allowed him to continue his pioneering research while mentoring the next generation of engineers and scientists.

Contributions and Research Focus 🔬

Li Tao’s research focuses on addressing power and efficiency limitations in micro gas turbines through the advancement of microscale detonation technologies. His work has been pivotal in developing a novel technology route based on microscale detonation, which leverages curved tubes to enhance flame acceleration and initiation. This approach has led to several groundbreaking developments:

  • Novel Technology Route: Li Tao proposed a unique technology route involving microscale detonation with curved tubes, which has demonstrated significant improvements in flame acceleration and initiation. His research highlights how curved channels can influence detonation processes and improve performance.
  • Predictive Models: Through experimental measurements and direct numerical simulations, Li Tao developed predictive models for detonation distance and velocity deficits in curved tubes. These models have been instrumental in understanding and optimizing detonation processes.
  • Theoretical Analysis: His theoretical work elucidates the interaction mechanisms between pressure waves and flames during the high-speed flame phase. This analysis has provided valuable insights into the dynamics of flame behavior within curved tubes.
  • Micro Helical Detonation Chamber: Li Tao introduced a “micro helical detonation chamber + Tesla turbine” technology route to address challenges in micro-scale power systems. This innovative approach resulted in the development of an experimental prototype with potential solutions for issues such as low power output and high heat loss.

Accolades and Recognition 🏅

Li Tao’s contributions to the field have been recognized through various accolades and professional achievements. His innovative research and development efforts have earned him a reputation as a leading expert in microscale detonation technologies. His work has been published in prestigious journals, and he has been invited to present at numerous conferences and seminars, reflecting the impact and recognition of his research within the academic and professional communities.

Impact and Influence 🌟

Li Tao’s research has had a profound impact on the field of microscale combustion and energy conversion. His advancements in detonation technologies have the potential to revolutionize micro gas turbines, addressing critical issues related to power output, heat loss, and component performance. The successful development of his experimental prototype highlights the practical applications and potential of his research in real-world scenarios.

His work not only contributes to scientific knowledge but also influences the design and optimization of micro-scale power systems, which are crucial for various industrial and technological applications. Li Tao’s research has paved the way for further advancements in this field, establishing him as a key figure in the ongoing development of energy conversion technologies.

Legacy and Future Contributions 🔮

Li Tao’s legacy in the field of safety engineering and microscale detonation technologies is characterized by his innovative approach and commitment to solving complex engineering challenges. His research has set new standards for understanding and optimizing combustion processes, and his contributions will continue to influence future developments in micro gas turbines and energy systems.

Looking ahead, Li Tao is poised to make further contributions to the field through continued research and development. His focus on addressing the limitations of micro-scale power systems and exploring new technological routes will likely lead to additional breakthroughs and advancements. As he continues to push the boundaries of engineering knowledge, Li Tao’s work will remain a source of inspiration and progress in the field of microscale combustion technologies.

Notable Publications

Time-series prediction of settlement deformation in shallow buried tunnels based on EMD-SSA-GRNN model

Authors: Li, T., Shu, J., Chang, D.

Journal: Scientific Reports

Year: 2024

Wave propagation characteristics of fluid-containing soil granular materials at different frequencies under multiple dissipation mechanisms: A case study on calcareous sand in the South China Sea

Authors: Li, T., Shu, J., Li, Y., Huang, J., Galindo, R.

Journal: Computers and Geotechnics

Year: 2024

Automated method for structural modal identification based on multivariate variational mode decomposition and its applications in damage characteristics of subway tunnels

Authors: Li, T., Hou, R., Zheng, K., Zhang, Z., Liu, B.

Journal: Engineering Failure Analysis

Year: 2024

Propagation characteristics of dynamic wave in fluid-containing granular materials at unified high and low frequency

Authors: Li, T., Shu, J., Li, Y., Wu, B., Galindo, R.

Journal: Soil Dynamics and Earthquake Engineering

Year: 2024

Analytical Solution for Pipeline Settlement Law Using Shield Tunnel Excavation Underneath Based on Vlasov-Timoshenko Model Considering Lateral Soil Action

Authors: Li, T., Zheng, K., Peng, H., Zhang, Z., Liu, B.

Journal: International Journal of Geomechanics

Year: 2024

Assist Prof Dr. Emrah Gökay Özgür | Decision-making and Problem-solving| Best Researcher Award

Assist Prof Dr. Emrah Gökay Özgür,  Decision-making and Problem-solving,  Best Researcher Award

Marmara University Faculty of Medicine, Turkey

🔗 Professional Profiles

👨‍🏫 Summary

Emrah Gökay Özgür is an Assistant Professor specializing in Biostatistics at Marmara University, Turkey. His research focuses on statistical methodologies in health sciences, with notable contributions to various interdisciplinary studies.

🎓 Education

  • Ph.D. in Biostatistics
    • Ankara University, Institute of Health Sciences
    • Thesis: Comparison of Machine Learning Methods in Computer Adaptive Testing Based on Rasch Model Response Patterns (2020)
    • Thesis Advisor: Assoc. Prof. Beyza Doğanay Erdoğan
  • M.S. in Biostatistics
    • Marmara University, Institute of Health Sciences
    • Thesis: Dimension Reduction Methods for Categorical Data: A Multifit Analysis with an Application in Nutrition Sciences (2013)
    • Thesis Advisor: Prof. G. Nural Bekiroğlu
  • B.Sc. in Economics
    • Anadolu University, Faculty of Economics
  • B.Sc. in Arts and Sciences
    • Fırat University, Faculty of Arts and Sciences

👨‍💼 Professional Experience

  • Assistant Professor
    • Marmara University, Faculty of Medicine, Department of Basic Medical Sciences, Biostatistics
    • Since November 8, 2022
  • Research Assistant
    • Kocaeli University, Faculty of Medicine, Department of Basic Medical Sciences, Biostatistics and Medical Informatics
    • July 28, 2020 – November 2, 2022
  • Research Assistant
    • Ankara University, Institute of Health Sciences, Biostatistics (Doctoral Level)
    • 2016 – 2020
  • Research Assistant
    • Kocaeli University, Faculty of Medicine, Department of Basic Medical Sciences, Biostatistics and Medical Informatics
    • 2015 – 2016

🔍 Research Interests

Emrah Gökay Özgür’s research interests include:

  • Statistical methodologies in health sciences
  • Machine learning applications in biostatistics
  • Dimension reduction techniques for categorical data
  • Statistical package programs and R software for biostatistical analysis
  • Multivariate analysis and its applications in biostatistics

📚Notable Publications

Clinical performance of short fiber reinforced composite and glass hybrid on hypomineralized molars: A 36-month randomized split-mouth study

    • Authors: Betul Sen Yavuz, Remziye Kaya, Nur Kodaman Dokumacigil, Emrah Gokay Ozgur, Nural Bekiroglu, Betul Kargul
    • Journal: Journal of Dentistry
    • Volume/Issue: 2024-05
    • Pages: DOI: 10.1016/j.jdent.2024.104919

ChatGPT ve Sağlık Bilimlerinde Kullanımı

    • Authors: Not specified in the provided snippet
    • Journal: Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi
    • Date: 2024-03-27
    • DOI: 10.34087/cbusbed.1262811

Comparing the Performance of Medical Students, ChatGPT-3.5 and ChatGPT-4 in Biostatistics Exam: Pros and Cons as an Education Assistant

    • Authors: Alper Eriç, Emrah Gökay Özgür, Ömer Faruk Asker, Nural Bekiroğlu
    • Journal: Uluslararası Yönetim Bilişim Sistemleri ve Bilgisayar Bilimleri Dergisi
    • Date: 2023-12-30
    • DOI: 10.33461/uybisbbd.1329650

Measuring Technology Readiness Index Level: Scale Adaption Study

    • Authors: Ömer Faruk Asker, Emrah Gökay Özgür, Alper Eriç, Nural Bekiroğlu
    • Journal: Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
    • Date: 2023-12-03
    • DOI: 10.30798/makuiibf.1097662

Association between Pre-Existing Comorbidities and COVID-19 Related Mortality: A Meta-Analysis Study

    • Authors: Sibel Balcı, Emrah Gökay Özgür, Canan Baydemir
    • Journal: Kocaeli Üniversitesi Sağlık Bilimleri Dergisi
    • Date: 2022-03-21
    • DOI: 10.30934/kusbed.1030440