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Invited Speakers
Associate Professor Ece Uzun at Warren Alpert Medical School of Brown University
Founding Director of Clinical Bioinformatics at Brown University Health
Dr. Ece Uzun is an Associate Professor of Pathology
and Laboratory Medicine at Warren Alpert Medical School of Brown
University and Founding Director of Clinical Bioinformatics at Brown
University Health. She serves as the Deputy Director of Brown Center
for Clinical Cancer Informatics and Data Science (CCIDS). She is
also a member of Brown University Center for Computational Molecular
Biology and Brown University Data Science Institute. She received
B.S in Chemical Engineering at Istanbul Technical University and
M.S. in Biological Sciences and Bioengineering at Sabanci University
in Istanbul, Turkey. She completed her PhD in Chemical Engineering
at Northeastern University, Boston, MA, USA. During her PhD, she
studied mathematical modeling of drug delivery systems. During her
postdoctoral studies at Brown University, she worked on
bioinformatics and computational genetics focusing on
neurodevelopmental disorders and autism.
In addition to her clinical work, Dr. Uzun leads a research group
focusing on development of multi-modal deep learning-based models to
predict cancer recurrence and drug response using clinical, genomic
and whole-slide image data from patients. Her research group also
studies protein-protein interaction networks in cancer for drug
repurposing using genomic and spatial transcriptomics data. Her
research group has developed novel genomic variation detection
algorithms and tools. She is the Editor-in-Chief in JMIR
Bioinformatics and Biotechnology journal. She is the Chair of the
American Medical Informatics Association (AMIA) Genomics and
Translational Bioinformatics Working Group and co-Chair of the Women
in AMIA (WIA) Steering Committee.
Associate Professor. Doc. Mgr.
Mária Ždímalová
Slovak University of Technology in Bratislava, Slovakia
Associate Professor, Department of Mathematics and Constructive Geometry, Slovak University of Technology Mária Ždímalová currently works at the Department of Mathematics and Constructive Geometry, Slovak University of Technology in Bratislava, Slovakia. Maria does research in Applied Mathematics, Mathematical Modelling, Algebra and Graph Theory. Their current project is 'Arch Math: Mathematics and Architecture, Design, Fashion, Art,' Algebraic Graph Theory as well as Graph Algorithms in Image Processing and Digital Topology and Mathematical Modelling, AL in image processing. She did habilitation to get assoc. prof. degree in 2019 June in the field: Applied Mathematics, at Slovak University of Technology in Bratislava, Faculty of Civil Engineering, Slovakia. She is involved in many international and local government research grants where she participates as a researcher and also as a leader. She is also doing many international revisions and reports in different high level international scientific journals. She had many invited talks in India, Dubai, Spain, Italy, North Macedonia, Greece, India and many others. She participated at many international conferences and also research stages around the world, also on other continents, e.g, in Indonesia, in Mexico (Middle/South America). She is also advisor for many bachelor, and diploma students for final theses. She was guided and cooperated also with students from foreign countries, e.g. India. She has 36 research papers in WOS and Scopus database, but together she has almost 63 research papers in collaboration with many international coauthors. She also involves and support young people in research, where she involves her students into scientific papers and projects. She participated at many educational and research invitations, conferences and workshops and stays like in Romania, England, Spain, Italy, Mexico, Belgium, Poland, Czech Republic, Serbia, North Macedonia, Turkey, Czech Republic, Hungary.
Dr. Nurmala Sari , SKM.,M.Kes., MA
Dr. Nurmala Sari is a Lecturer in the Master of
Hospital Administration Program at the Faculty of Public Health,
Hasanuddin University. She holds a Doctorate in Public Health with a
research focus on hospital resilience in the disruption era in
Indonesia. She earned her Master of Arts in Hospital Management from
the University of Leeds (UK) and a Master of Public Health in
Hospital Administration from Hasanuddin University.
Her expertise centers on hospital management, health system
resilience, organizational resilience, and strategic health services
governance. She is currently a member of the research team of The
Partnership for Australia–Indonesia Research (PAIR), focusing on
health service resilience in responding to climate change.
Dr. Nurmala is actively involved as a researcher and project officer
at the Health Services Management Learning Center, Hasanuddin
University, and serves as a Research Fellow at Amcolabora Institute.
She is also an active member of the Hospital Business Development
Research Group (HBDRG) and the Intersectionality of Climate Change
and Health Research Group, reflecting her interdisciplinary
engagement in health systems strengthening.
With extensive experience as a health service management
consultant—particularly in Eastern Indonesia—her work bridges
research, policy, and practice to advance resilient and adaptive
health systems. She actively publishes in academic journals and is a
contributing author of the book Post-Pandemic Crisis Turning Point
Towards Health System Resilience, published by Springer, further
strengthening her contribution to global discourse on health system
resilience.
Dr. Bolormaa Purevdorj, MD, MPH,
DrPH, PhD
Chair, Population Health Research Center Mongolia,
Adjunct Faculty, Graduate School, Mongolian National University of
Medical Sciences
Dr. Bolormaa Purevdorj is a physician and public
health researcher specializing in behavioral science, health
promotion, health communication, and alcohol and tobacco control
policy. She earned her MD from the Medical University of Mongolia,
an MPH from Kobe University, Japan, and a dual doctoral degree in
Public Health and Preventive Medicine from the School of Public
Health at Loma Linda University, USA, and the Faculty of Medicine at
Tottori University, Japan.
Dr. Purevdorj currently serves as Chair of the Population Health
Research Center and as a faculty member at the Graduate School of
Mongolian National Medical Sciences. She also serves as Secretary
General of the Society for Asia Medical Decision Science.
Her research integrates behavior change theories with artificial
intelligence and machine learning to address tobacco, alcohol, and
cancer prevention in low- and middle-income countries. Beyond
academia, she has played an active role in national public health
advocacy, contributing to the development and strengthening of
Mongolia’s Alcohol Control Law, Tobacco Control Law, and Cancer
Control Law.
Dr. Yasin Hamarat
Kaunas University of Technology, Lithuania
Dr. Yasin Hamarat is a multidisciplinary scientist and R&D leader
with over a decade of expertise spanning clinical research and
advanced engineering. Currently serving as a Senior Researcher at
the Health Telematics Science Institute, Kaunas University of
Technology (KTU) and a Postdoctoral Researcher at the Lithuanian
Energy Institute, he operates at the intersection of physiological
measurement, neurobiology, and adaptive systems.
In the field of Medical Technology, Dr. Hamarat is a specialist in
Precision Medicine for Neuroprotection. Holding a PhD in
Physiological Measurement and an MSc in Neurobiology and Genetics,
he has spent years in both laboratory and clinical settings
developing novel strategies to diagnose and treat neurological
disorders. His work focuses on identifying critical biomarkers and
developing personalized treatment plans that leverage deep
physiological data, ensuring that medical interventions are as
precise as they are effective.
In the realm of AI and Industry 4.0, Dr. Hamarat translates
biological insights into digital innovation. As the R&D Lead for
TrainSmartAI and a consultant for digital transformation, he
pioneers the development of AI-powered Virtual Avatars and smart
workforce solutions. By utilizing advanced signal processing and
adaptive sensor technologies, he creates intelligent systems that
not only optimize industrial performance but also prioritize
human-centric design and worker well-being.
Dr. Hamarat’s unique ability to bridge the gap between "bench-side"
neurobiology and "industrial" artificial intelligence makes him a
leading voice in the future of human-machine interaction.
Dr. Chalong Cheewakriangkrai
Faculty of Medicine, Chiang Mai University, Thailand
Dr. Chalong Cheewakriangkrai is a faculty member in the Department
of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai
University, Thailand, and serves as Chief of the Division of
Gynecologic Oncology. His scholarly and clinical research focuses on
clinical epidemiology; malignancies of the uterus, including
endometrial cancer and related tumors; and the development and
evaluation of novel therapeutic strategies in gynecologic oncology,
particularly targeted therapy and chemotherapy. He also pursues
biomarker-driven approaches to care, including liquid biopsy, and
the application of artificial intelligence to support translational
research and clinical decision-making.
He has served as a guest editor for special issues in peer-reviewed
journals, including the Journal of Universal Computer Science
(J.UCS) (SCI), the Journal of Computing Science and Engineering
(Ei/Scopus), the International Journal of Computers and Applications
(Ei/Scopus), the Journal of Data Analysis (ECONLIT), and Medicina
(MDPI), including the special issue entitled “Translational Advances
in Gynecologic Cancers.”
In addition, he has served as Co-Principal Investigator (Co-PI) of
the Taiwan MOST two-year international project
(MOST106-2218-E-040-001-MY2), “The Implementation of Evidence-Based
CDSS for Gynecologic Cancer in Northern Thailand—Contributions to
International Efforts,” and the CSMU Hospital international project
(CSH-2018-D-002), “Developing Evidence-Based Control Programs for
Women with Multiple Primary Malignant Neoplasms (MPMNs): A
Multilateral International Cooperation.”
Prof. Murat Özbayoğlu
Head of Artificial Intelligence Engineering, TOBB University of
Economics and Technology, Ankara, Turkey
A.M. Ozbayoglu graduated from the Department of Electrical
Engineering at METU, Ankara, Turkey in 1991, then he got his Msc and
PhD degrees from the department of Engineering Management at
Missouri University of Science and Technology, USA in 1993 and 1996,
respectively. After graduation, he joined MEMC Electronics (now
became SunEdison), USA as a software project engineer, programmer
and analyst working on silicon wafer manufacturing software and data
automation projects. In 2005, he went back to academia by joining
the Department of Computer Engineering of TOBB University of
Economics and Technology, in Ankara, Turkey. Currently, he is
serving as the head of Artificial Intelligence Engineering
Department.
His research interests include machine learning, pattern
recognition, deep learning, financial forecasting, computational
intelligence, machine vision. He has conducted 24 MSc and 2 PhD
theses in theoretical and applied machine learning. He has published
more than 40 journal and 100 international conference papers along
with numerous white papers and technical reports. He has served in
many academic and industrial projects as principal investigator,
researcher and consultant. Also, he has been actively involved in
social and technical committes both on and off-campus. He is a
member of ACM and IEEE Computational Intelligence Society.
Dr Ting Yu
Associate Professor of Marketing at the University of New South
Wales (UNSW), Australia
Dr Ting Yu is an Associate Professor of Marketing at the University
of New South Wales (UNSW), Australia. Her research focuses on how
organisations can successfully adopt and integrate artificial
intelligence (AI) within complex service systems to improve service
delivery and organisational performance. She works closely with
industry partners in healthcare, aged care, and financial services
to develop evidence-based solutions that support responsible AI
adoption. Her broader research interests include service management,
organisational agility, organisational ambidexterity, frontline
management, and consumer behaviour. Her research has been published
in leading journals, including the Journal of Service Research,
Journal of Product Innovation Management, Industrial Marketing
Management, European Journal of Marketing, Journal of Business
Research, Journal of Service Management, Journal of Services
Marketing, and the International Journal of Human Resource
Management. Through her research, she aims to bridge academic
knowledge and industry practice to address pressing societal and
organisational challenges.