جست‌وجوی استاد و پژوهشگر

Egor Kostylevمشاهده پروفایل

دانشیار

• Foundations of AI
• Symbolic AI
• Description Logics
• +۹ مورد دیگر

Egor Kostylev serves as an Associate Professor in the Department of Informatics within the Faculty of Mathematics and Natural Sciences at the University of Oslo. His research focuses on the theoretical foundations connecting symbolic and sub-symbolic artificial intelligence, particularly examining relationships between formal logic systems and machine learning approaches. His educational background includes an MSc (Specialist, 2005) and PhD (Candidate, 2009) from Lomonosov Moscow State University under Prof. Vladimir A. Zakharov. He subsequently held research positions at the University of Edinburgh (2010-2013) and the University of Oxford (2013-2020) before joining the University of Oslo in 2020. Kostylev's research interests center on bridging symbolic AI formalisms with sub-symbolic approaches. He investigates connections between various logics (Description Logics, Temporal Logics, Datalog), query languages (SPARQL, Regular Path Queries, OTTR), and machine learning formalisms (Graph Neural Networks, Markov Logic Networks). His work addresses critical challenges in Explainable, Trustworthy, and Green AI through theoretical foundations that connect different AI paradigms. His publication record demonstrates consistent high-impact contributions in theoretical computer science and AI, with numerous publications in top venues including AAAI, LICS, Journal of the ACM, and ICLR. His recent work shows a clear trajectory toward unifying logical reasoning with neural network approaches, particularly through graph neural networks and their connections to logical formalisms. The research spans theoretical foundations of knowledge representation, temporal reasoning in knowledge bases, and the logical expressiveness of modern neural architectures. As a research leader, Kostylev supervises multiple PhD students including Shuwen (Aurora) Liu, Maximilian Pflüger, Roxana Pop, Dongzhuoran Zhou, and Erik Snilsberg. He serves as a Research Theme Leader for the Integreat SFF: Norwegian Centre for Knowledge-driven Machine Learning. His teaching responsibilities include IN3020/4020 Database Systems courses. He leads the Data and Knowledge Management (DKM) research group at the University of Oslo, which focuses on foundational aspects of knowledge representation, database theory, and the intersection with modern machine learning techniques. The group actively collaborates with international researchers and contributes to advancing theoretical understanding of how symbolic and neural approaches to AI can complement each other.

Espen Moldenمشاهده پروفایل

استاد مدعو

• Pharmacology
• Pharmacokinetics
• Pharmacogenetics
• +۴ مورد دیگر

Dr. Espen Molden is an Adjunct Professor at the Department of Pharmacy, University of Oslo, holding a 20% position while serving as Research Manager at the Center for Psychopharmacology, Diakonhjemmet Hospital. He earned his Cand.pharm. degree from the University of Oslo in 1997 and completed his Dr.scient. there in 2003. His primary research focuses on individual variability in drug efficacy and side effects, with particular emphasis on implementing pharmacogenetic knowledge in clinical practice. His research interests span multiple areas of pharmacology, including: Pharmacokinetics and therapeutic drug monitoring Pharmacogenetics (particularly CYP2D6 and CYP2C19) Drug interactions and cytochrome P450 metabolism Clinical applications in psychopharmacology Analysis of his 15 most recent publications (2024-2025) reveals a strong focus on pharmacogenetics applications in clinical settings, particularly in psychopharmacology. His work heavily features therapeutic drug monitoring studies, CYP enzyme polymorphisms, and their clinical implications for antipsychotic and antidepressant treatments. A significant portion of his recent work examines clozapine metabolism, CYP2D6-related pharmacogenetics, and real-world data applications in personalized medicine. His scientific achievements include: Pharmacist of the Year award from the Norwegian Pharmaceutical Association (2006) Extensive publication record in high-impact journals including Nature Genetics, JAMA, and Clinical Pharmacology & Therapeutics Leadership in large collaborative research projects across multiple institutions Dr. Molden actively collaborates with numerous researchers including Professor Torgeir Bruun Wyller at Oslo University Hospital, Professor Anette Hylen Ranhoff at Diakonhjemmet Hospital, and international colleagues from institutions like Karolinska Institutet. His work bridges basic pharmacogenetic research with clinical implementation, particularly in psychiatric medication management.

• Pharmacokinetics
• Pharmacometrics
• Population pharmacokinetics
• +۵ مورد دیگر

Markus Hovd is a Senior Lecturer at the Section for Pharmacology and Pharmaceutical Biosciences within the Department of Pharmacy at the University of Oslo's Faculty of Mathematics and Natural Sciences. He also maintains an affiliation with the Neurosurgical Department. His work focuses on pharmacokinetic research with applications in clinical practice and personalized medicine. Philosophiae Doctor (PhD), Department of Pharmacy, University of Oslo, 2024 Master of Pharmacy, Department of Pharmacy, University of Oslo, 2019 Hovd's primary research interest centers on the mechanisms behind pharmacokinetic inter-individual variability and the development of models to aid in personalization of medicine. His research methodology includes population- and physiology-based pharmacokinetic models, in vitro-in vivo extrapolation, and clinical trials. His work spans multiple therapeutic areas including kidney transplantation, obesity-related pharmacokinetics, and cerebrospinal fluid dynamics. Analysis of Hovd's publications reveals a strong focus on pharmacokinetic applications in specialized patient populations, particularly kidney transplant recipients and patients who have undergone bariatric surgery. His research demonstrates expertise in population pharmacokinetic modeling, drug transport mechanisms, and the impact of physiological changes on drug disposition. A significant portion of his work addresses the challenges of drug dosing in complex clinical scenarios where standard pharmacokinetic assumptions may not apply. Hovd serves as a representative for temporary teaching staff on both the Teaching Committee and the Department Board at the Department of Pharmacy. His teaching portfolio includes courses in Pharmaceutical Biochemistry, Pharmacotherapy, Pharmaceutical Microbiology, Research Preparation in Biology, and Applied Pharmacokinetics and Dosing in Clinical Practice. Hovd is actively involved in multiple research groups including Pharmacokinetics, Kidney Transplant Medicine, and the KG Jebsen Center for Cerebrospinal Fluid Research, where he contributes his pharmacokinetic expertise to interdisciplinary neuroscience research.

Klaus Dethloffمشاهده پروفایل

پژوهشگر

• Arctic Climate Science
• Atmospheric Circulation
• Physical Oceanography
• +۲ مورد دیگر

Klaus Dethloff is an active researcher specializing in Arctic climate science, with significant contributions to the international MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) expedition. His work spans atmospheric science, physical oceanography, and ecosystem studies in the polar regions, focusing on understanding the complex interactions between different components of the Arctic climate system. Dr. Dethloff's research interests center on Arctic climate dynamics, particularly examining how amplified Arctic warming affects broader climate patterns. His work investigates the connections between Arctic atmospheric processes and European winter temperatures, as well as the physical properties of sea ice and snow cover. Through the MOSAiC expedition, he has contributed to comprehensive year-round observations of Arctic climate systems, helping to advance our understanding of rapid climate changes in polar regions. His publications demonstrate expertise in analyzing large-scale atmospheric circulation patterns and their impacts on regional climate. The MOSAiC expedition papers represent major collaborative efforts involving dozens of international scientists across multiple disciplines, with Dr. Dethloff contributing to several key components of this landmark Arctic research initiative. While specific awards are not mentioned in the available publications, his involvement as a co-author on these significant multi-institutional research efforts indicates recognition within the climate science community. His work provides valuable data for improving climate models and understanding the far-reaching impacts of Arctic climate change.

• Hydrology
• Environmental Hazards
• Solute and Sediment Fluxes
• +۳ مورد دیگر

Stefano Basso is an Associate Professor at the Norwegian University of Science and Technology (NTNU), Department of Geography and Social Anthropology. His research focuses on hydrology, environmental hazards, and the water-energy-ecosystems nexus. He has held roles including Senior Scientist at the Norwegian Institute for Water Research (NIVA) and Research Group Leader at the Helmholtz Centre for Environmental Research (UFZ), Germany. His work emphasizes predicting extreme floods and understanding climate adaptation impacts. Education and Career Highlights: PhD from Eawag (Swiss Federal Institute of Aquatic Science and Technology), 2016 Visiting Research Scholar at Duke University, USA (2014–2015) Supervised multiple PhD candidates and postdocs, including recipients of prestigious awards. Research Interests: Extreme flood prediction using hydrograph dynamics Landscape-based climate adaptation Hydropower and biodiversity interactions Solute and sediment fluxes in river basins His methods link ordinary hydrologic data to extreme event analysis, with applications in Norway, Germany, and beyond. Awards and Recognition: Water Resources Research Editors’ Choice Award (2020) 2020 Supervision Award, Helmholtz Centre for Environmental Research Grants and Advising: Main supervisor for PhD student Hsing-Jui Wang (Glory Foundation-funded) Co-supervisor for Larisa Tarasova (completed 2020) Recipient of grants for hydropower and ecosystem studies. Outreach and Labs: Collaborates with Norwegian agencies like NVE on flood risk. Active in international projects like ClimDesign for climate services.

Bård Kuvaasمشاهده پروفایل

استاد

• Human Resource Management
• Organizational Behavior
• Behavioral Decision Making
• +۷ مورد دیگر

Bård Kuvaas is a Professor in the Department of Leadership and Organizational Behaviour at BI Norwegian Business School in Oslo. He currently serves as Associate Dean for the Doctoral Program at BI and is responsible for the Leadership and Organization program. Kuvaas has been appointed as the Norwegian Ambassador of the HR Division and served on the Executive Committee for the HR Division at the Academy of Management starting August 2017. His research spans three primary domains: Human Resource Management (focusing on pay systems, performance appraisal, training, and HR-systems), Organizational Behavior (examining motivation, social exchange, and performance), and Behavioral Decision Making (investigating framing effects and mood influences). Kuvaas has developed a particular expertise in understanding how intrinsic motivation interacts with organizational practices and reward systems, challenging conventional wisdom about performance-based pay. His recent publications reveal a sophisticated approach to understanding workplace dynamics through multiple theoretical lenses, particularly Self-Determination Theory and Social Exchange Theory. Kuvaas has increasingly incorporated methodological innovations like Necessary Condition Analysis to test theoretical propositions more rigorously. His work demonstrates how contextual factors moderate the relationships between HR practices and employee outcomes, revealing complex nonlinear effects and boundary conditions. BI Norwegian Business School research award for outstanding research (2016) Kuvaas teaches across multiple programs including doctoral courses, executive education in Norway and Shanghai/China, and Master of Science programs. He serves on the review boards of Journal of Organizational Behavior, European Journal of Work and Organizational Psychology, and Human Resource Management Review. His research collaborations extend to numerous Norwegian organizations, and he is frequently invited to speak to practitioners on HRM issues. His work bridges academic rigor with practical relevance, making significant contributions to both theoretical understanding and organizational practice.

Lars Magnus Hvattumمشاهده پروفایل

استاد

• Combinatorial Optimization
• Mathematical Programming
• Decision Support Systems
• +۷ مورد دیگر

Lars Magnus Hvattum is a Professor in Quantitative Logistics at Molde University College, Faculty of Logistics. His work focuses on developing mathematical models and optimization methods for complex planning problems across various domains including transportation, maritime logistics, and sports analytics. Professor Hvattum's primary research interests span several key areas in operations research and optimization: Mathematical modeling of complex planning situations Methods to solve combinatorial optimization problems Dealing with uncertainty in planning Development of decision support systems His research portfolio demonstrates a strong focus on both theoretical and applied aspects of optimization. In recent years, he has published extensively on tabu search algorithms, vehicle routing problems, maritime inventory routing, and the application of machine learning techniques to optimization challenges. His work bridges the gap between theoretical advances in operations research and practical applications in logistics and beyond. Professor Hvattum is actively involved in multiple research groups including ABC-AI (Applied, Basic, and Conscientious Artificial Intelligence), the Center for Healthcare Operations Management, and the Energy Logistics Research Group (EneLog). His collaborative research extends across international boundaries with frequent co-authorship with researchers from various institutions worldwide.

Nicolas Dupontمشاهده پروفایل

پژوهشگر

• Zooplankton ecology
• Population ecology
• Climate change impacts
• +۵ مورد دیگر

Nicolas Dupont is a researcher at the Centre for Ecological and Evolutionary Synthesis (CEES) at the University of Oslo, specializing in marine ecology and climate change impacts. He joined CEES on the OILCOM project led by Øystein Langangen in September 2016, after serving as a guest post-doctoral fellow from the Institute of Marine Research in Bergen (Norway) from 2014-2016. Dupont earned his PhD in 2010 from the University of Bergen with a thesis titled "Water clarity as a forcing factor of marine ecosystems." His educational background includes a Master's degree in Marine Research and Marine Environments from Université Paris 6 (France) in 2005. Dr. Dupont's research focuses on zooplankton ecology and population responses to environmental changes, particularly climate change impacts on Arctic marine ecosystems. He employs various modeling approaches including statistical modeling, population modeling, and behavioral modeling to study how marine species respond to changing environmental conditions. His work has significantly contributed to understanding the effects of sea ice reduction, temperature changes, and altered light conditions on marine food webs in the Barents Sea and Norwegian waters. Analysis of Dupont's publication record reveals a consistent focus on Arctic marine ecosystems, particularly examining how climate change affects key species like polar cod and zooplankton. His research integrates physical, biological, and ecological perspectives to understand complex ecosystem dynamics in a changing Arctic. Over time, his work has evolved from studying water clarity effects on zooplankton to broader climate change impacts on entire marine food webs. Nicolas Dupont has been involved in significant research projects including OILCOM, which investigates how early life stages of cod respond to shifting mortality fields in the Barents Sea. His collaborative work spans multiple international research groups and has produced numerous high-impact publications in leading marine science journals. Dr. Dupont is affiliated with the Marine Ecology research group at CEES and has maintained a productive research career since completing his PhD in 2010, with publications spanning from 2009 to 2025.

• Marine Ecology
• Arctic Ecosystems
• Climate Change Impacts
• +۴ مورد دیگر

Raul Primicerio is a Professor in the Department of Arctic and Marine Biology at UiT The Arctic University of Norway, Tromsø. His research focuses on climate change impacts on Arctic marine ecosystems, particularly examining borealization processes, food web dynamics, and functional diversity shifts in the Barents Sea region. He maintains an active research profile with numerous high-impact publications spanning marine ecology, climate adaptation, and ecosystem management. His research interests center on climate-driven ecosystem transformations in high-latitude environments. Primicerio investigates how warming temperatures alter marine community composition, with particular emphasis on fish communities, zooplankton dynamics, and trophic interactions. His work integrates field observations with network analysis to understand borealization - the northward shift of temperate species into Arctic habitats. Current projects examine functional diversity metrics as early warning signals for ecosystem regime shifts, spatial food web reorganization due to atlantification, and blue carbon storage in Arctic benthic systems. His research group employs both traditional ecological methods and innovative approaches like noninvasive image-based body size measurements. Analysis of Primicerio's recent publications reveals strong thematic focus on climate change impacts across multiple ecosystem components. His work demonstrates consistent examination of borealization processes in the Barents Sea, with particular attention to how warming affects functional diversity, community composition, and trophic structure. The publications show increasing emphasis on dynamic management approaches that respond to rapid ecosystem changes rather than static conservation frameworks. His research bridges fundamental ecological questions with practical conservation applications, particularly regarding marine protected areas in changing environments. Primicerio actively participates in major research initiatives including the CLEAN project (Cumulative impact of multiple stressors in High North ecosystems), IMPACT (Integrated Monitoring of Parasites in Changing Environments), and ClimeFish. His work frequently involves international collaborations across Arctic research institutions, contributing to comprehensive assessments of ecosystem condition in Norwegian Barents Sea shelf ecosystems. He is a member of the Freshwater Ecology Group at UiT and contributes to working groups on integrated assessments of the Barents Sea.

Jens Egelandمشاهده پروفایل

استاد

• Cognitive psychology
• Neuroscience
• Neuropsychology
• +۴ مورد دیگر

Jens Egeland is Professor II at the Institute of Psychology, University of Oslo, and serves as Director of Research at Vestfold Mental Health Care Trust (Psykiatrien i Vestfold). His work bridges clinical practice and academic research with a focus on neuropsychological assessment and cognitive functioning across various clinical populations. His primary research interests include cognitive psychology, neuroscience, neuropsychology, neuropsychiatry, and attention deficit disorders. Egeland has made significant contributions to the field of test methodology, particularly in developing and validating neuropsychological assessment tools. His work spans across multiple clinical domains including ADHD, schizophrenia, alcohol use disorder, and cognitive aging, demonstrating a broad yet interconnected research portfolio focused on understanding cognitive processes in both healthy and clinical populations. Egeland's publication record shows a consistent focus on neuropsychological assessment methods, with recent work examining cognitive functioning in alcohol use disorder, ADHD, and schizophrenia. His research demonstrates particular expertise in attention assessment, memory processes, and executive function across different clinical conditions. Notable recent contributions include work on the Conners Continuous Performance Test, Trail Making Test, and RBANS assessment battery, reflecting his specialization in psychometric tools and normative data development. Egeland is affiliated with the Research Unit of Neuropsychopathology (RUN) and has collaborated extensively with researchers across Norway and internationally. His work often involves multi-center collaborations, particularly with institutions focusing on mental health care, addiction treatment, and neurological disorders. His research demonstrates strong translational value, connecting basic cognitive processes with clinical applications in diagnosis and treatment planning.

Magne Thoresenمشاهده پروفایل

استاد

• High-dimensional statistics
• Biostatistics
• Measurement error modeling
• +۳ مورد دیگر

Magne Thoresen is a Professor in the Department of Biostatistics at the University of Oslo, specializing in high-dimensional statistics. His work focuses on developing statistical methods for complex data analysis, with applications across medical research, epidemiology, and public health. He has held leadership positions including Head of the Department of Biostatistics from 2008-2014. Education: PhD in Biostatistics, University of Oslo (2002) MSc in Statistics, University of Oslo (1992) Professor Thoresen's research spans high-dimensional data analysis and measurement error modeling, with significant contributions to biostatistics, genetics, and epidemiology. His work addresses methodological challenges in analyzing complex datasets from medical studies, particularly in the areas of omics data integration, longitudinal analysis, and variable selection. He has developed innovative statistical approaches for handling high-dimensional problems across diverse medical applications. His methodological expertise bridges theoretical development with practical implementation in biomedical research. His recent publication record demonstrates consistent expertise in high-dimensional statistical methods, with applications spanning nutrition science, gerontology, genetics, and critical care medicine. Thoresen's work shows particular strength in developing approaches for ultra-high dimensional data, measurement error correction, and variable selection that maintains statistical validity. His research bridges theoretical statistical development with practical medical applications across multiple disciplines, evidenced by collaborations with researchers in diverse medical fields. Teaching: PhD courses in statistics (MF9010, MF9130, MF9555, MF9580) Master's course quantitative methods for International public health/Interdisciplinary health research (INTHE4020) Professional study program in medicine (MED1100, MED3001, MED3006)

Heidi Kiil Blomhoffمشاهده پروفایل

استاد

• Cell Cycle Regulation
• Apoptosis
• Cancer Biology
• +۵ مورد دیگر

Heidi Kiil Blomhoff is a Professor at the Institute of Basic Medical Sciences , University of Oslo, leading the Cell Cycle and Apoptosis Group . Her research focuses on molecular mechanisms regulating cell survival, death, and differentiation in immune and cancer cells. Key Research Areas: Cell cycle regulation in B and T cells Role of cAMP and retinoic acid in apoptosis Autophagy in leukemia and immune cells TLR signaling and NF-κB inhibition Scientific Contributions: Her work has elucidated how compounds like N-acetyl cysteine, forskolin, and coffee derivatives modulate pathways such as PARP1, p53, and PGE2 to influence cancer cell fate. Recent studies highlight autophagy's dual role in promoting survival under stress or enhancing therapy-induced death. Collaborations: She has co-authored over 50 publications with researchers like Soheil Naderi , Karin Gilljam , and Rune Blomhoff , spanning journals like Journal of Biological Chemistry , Molecular Cancer Research , and Blood .

Yunpeng Wangمشاهده پروفایل

استاد

• Cognitive Psychology
• Neuroscience
• Neuropsychology
• +۵ مورد دیگر

Yunpeng Wang is a Professor in the Department of Psychology at the University of Oslo, Norway, with a focus on Cognitive Psychology, Neuroscience, and Neuropsychology. He is affiliated with the Center for Life Course Changes in Brain and Cognition (LCBC) and conducts research at the intersection of genetics, neuroimaging, and psychiatric disorders. His educational background includes a PhD in Theoretical Systems Biology from the Norwegian University of Life Sciences (2009-2013), a Master in Bioinformatics from KULeuven, Belgium (2007-2009), and prior positions as Lead Scientist at the Institute of Biological Psychiatry/University of Copenhagen and Postdoc researcher at the University of California in San Diego. His academic progression shows steady advancement from postdoctoral researcher to his current professorship since 2024. Professor Wang's research focuses on understanding neuropsychiatric disorders through integrative approaches that bridge multiple biological levels including genetics, epigenetics, proteomics, microbiome, neuroimaging, and socio-economic factors. His work emphasizes statistical genetics and complex trait analysis to unravel the intricate networks driving individual variability in neuropsychiatric outcomes. His research has significant implications for understanding conditions like schizophrenia, PTSD, Alzheimer's disease, and sleep disorders through the lens of genetic and environmental interactions. He employs advanced methodologies including genome-wide association studies, Mendelian randomization, and machine learning to establish causal relationships between biological factors and neuropsychiatric outcomes. His recent publications demonstrate a strong emphasis on genetic and imaging approaches to understanding brain development and aging, with particular attention to how genetic factors interact with inflammatory markers, sleep patterns, and gut microbiome to influence cognitive function and psychiatric disorders across the lifespan. His work frequently appears in high-impact journals including Nature Communications, Nature Genetics, and Molecular Psychiatry, reflecting the significance of his contributions to the field. Professor Wang teaches courses including PSYC2231 - Biological psychology and genetics, PSY4310 – Research methods in cognitive neuroscience Part I, and PSY2209 – Behavior Genetics, contributing to the education of future researchers in the field. His teaching reflects his research expertise, connecting theoretical knowledge with practical applications in neuroscience and genetics. He is actively involved with the Center for Life Course Changes in Brain and Cognition (LCBC), where his work contributes to understanding how brain structure and function change across the lifespan and how these changes relate to cognitive abilities and mental health. His collaborative work spans multiple international research teams, evidenced by the large author lists on many of his publications, indicating his role in major consortium efforts in psychiatric and neurological genetics.

• Medical AI
• Computer Vision
• Multimedia Systems
• +۷ مورد دیگر

Pål Halvorsen serves as a Research Professor and Head of the Holistic Systems Department at Simula Research Laboratory, a prominent independent research institute in Norway. His work spans multiple interdisciplinary domains with a strong focus on applying artificial intelligence to solve complex problems in healthcare, medical imaging, and multimedia systems. As department head, he leads research initiatives that bridge computer science with practical applications in clinical settings and sports analytics. Halvorsen's research interests are deeply interdisciplinary, focusing on the intersection of artificial intelligence, medical applications, and multimedia systems. His work in medical AI particularly emphasizes gastrointestinal disease detection, polyp segmentation in colonoscopy procedures, and explainable AI systems that provide transparency in medical decision-making. In the sports domain, he develops advanced video analytics for soccer and ice hockey, creating AI-based systems for event detection, player tracking, and content optimization for social media. His research on multimodal data analysis addresses critical challenges in healthcare, including missing data imputation and the integration of diverse data sources for improved clinical outcomes. His recent publications demonstrate a consistent focus on practical AI applications that address real-world challenges, with particular emphasis on validation frameworks that bridge the gap between theoretical AI models and clinical implementation. Halvorsen's work often involves large-scale dataset creation, such as the OBF-Psychiatric dataset for mental health research and various sports analytics datasets, which have become valuable resources for the research community. Halvorsen's publication record shows a clear trend toward developing robust, clinically validated AI systems with strong emphasis on explainability and transparency. His research spans gastrointestinal endoscopy, cardiology (particularly ECG analysis), sports analytics, and psychiatric applications, with a common thread of addressing the practical challenges of implementing AI in real-world settings. The work consistently focuses on validation frameworks, benchmarking studies, and the development of datasets that advance the state of the art while addressing the practical limitations of current AI systems in healthcare and multimedia applications. While specific awards aren't mentioned in the available information, Halvorsen has established himself as a leader in organizing major research challenges including the Medico Multimedia Task at MediaEval, ImageCLEFmedical, and various Grand Challenges focused on detecting cheapfakes and AI-based video production for soccer. His leadership in these community-wide evaluation efforts has significantly contributed to advancing research methodologies in medical AI and multimedia systems. Halvorsen's collaborative approach is evident across his extensive publication record, which shows consistent partnerships with medical professionals, computer scientists, and domain experts across multiple institutions. His work on child interview training systems demonstrates collaboration with psychology and forensic experts, while his medical imaging research involves close partnerships with gastroenterologists and clinicians. This interdisciplinary collaboration model appears to be central to his research philosophy, ensuring that technical solutions address genuine domain challenges. His leadership of the Holistic Systems Department suggests he oversees multiple research teams working on diverse but interconnected projects spanning healthcare AI, sports analytics, and multimedia systems development.

Agaraoli Aravazhiمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Healthcare Operations Management
• Predictive Analytics
• +۳ مورد دیگر

Agaraoli Aravazhi is a Scientific Staff member at the Logistics Department of Molde University College - Specialized University in Logistics, specializing in AI applications for healthcare and logistics systems. He holds a Bachelor of Technology in Mechanical Engineering from Amrita Vishwa Vidyapeetham University and a Master of Science in Engineering Logistics from Molde University College. Education : B.Tech (Mechanical Engineering), MSc (Engineering Logistics) Research Groups : Center for Healthcare Operations Management, ABC-AI (Applied, Basic, and Conscientious Artificial Intelligence), Digitization for Sustainability His research focuses on AI-driven hospital production processes , predictive analytics for healthcare operations , and logistics optimization . He has contributed to studies on patient treatment process monitoring, surgical case volume forecasting, and inventory management in hospitals. The scientific publications highlight his work in applying hybrid machine learning models to healthcare challenges, developing connectivity metrics for transportation systems, and exploring blockchain applications for health records. While no formal awards are listed, his research involves collaborations across multiple disciplines including medicine, logistics, and data science. Additional contributions include teaching SAP best practices for digital workforce preparation and text mining applications for extracting insights from hospital administrative documents. He is actively involved in the Center for Healthcare Operations Management, focusing on transforming clinical workflows through technology.