جستجوی استاد راهنمای دانشگاهی

Yaw Adu-Gyamfiمشاهده پروفایل

دانشیار

• Traffic Operations
• Intelligent Transportation Systems
• Civil Infrastructure Systems
• +۳ مورد دیگر

Yaw Adu-Gyamfi is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Missouri-Columbia , specializing in Traffic Operations , Intelligent Transportation Systems , and Big Data Analytics . His research leverages Artificial Intelligence and LiDAR for infrastructure health monitoring and road safety innovations. Education : PhD and MCE from the University of Delaware; BSC in Geomatic Engineering from Kwame Nkrumah University of Science and Technology. His work focuses on real-time traffic analytics , cloud-based solutions , and automated pavement distress classification , supported by grants from the NSF , U.S. DOT , and state agencies. He co-founded Tiger Eye Engineering, LLC , offering road distress monitoring services, and has developed tools like PaveSAM for segmentation and Deep InSight for driver-state estimation. Recent research includes generative adversarial networks for pavement assessments, 3D object detection with LiDAR, and resource-efficient damage detection using YOLOv10. His projects emphasize scalable, low-cost solutions for transportation challenges. Scientific Awards NSF CAREER Award (2021) Spirit Award from NSF I-Corps Program He has collaborated with Mizzou Engineering , MoDOT , and international partners on safety systems, including autonomous alerts for work zones and predictive models for road maintenance. His team conducted over 100 interviews to refine tools for transportation officials.

• Psychiatry
• Women's Mental Health
• Perinatal Psychiatry
• +۵ مورد دیگر

Dr. Kimberly Yonkers is a Professor Adjunct of Psychiatry at Yale University, with additional appointments in the Departments of Obstetrics, Gynecology and Reproductive Sciences and the School of Public Health. She serves as Chief for the Yale New Haven Health Division of Psychological Medicine, providing inpatient and outpatient consultations across multiple campuses. Dr. Yonkers also directs research for the Yale New Haven Hospital Division of the Department of Psychiatry and leads the Center for Women and Mothers, a specialized research unit focused on women's mental health. Dr. Yonkers' educational background includes an MD from Columbia College of Physicians and Surgeons (1986) and residency training at McLean Hospital (1990). She is board certified in Psychiatry by the American Board of Psychiatry & Neurology (1991). Her research focuses on the clinical course, etiopathology, and treatment of psychiatric disorders as they occur in women, with particular emphasis on pregnancy, the postpartum period, and the menstrual cycle. Her work spans multiple disciplines, requiring integration of psychiatric expertise with neuroscience and reproductive biology. Dr. Yonkers has made significant contributions to understanding postpartum depression, establishing that 50% of cases begin antenatally and that standard antidepressant treatment is effective for postpartum depression. Her research on premenstrual dysphoric disorder established serotonin reuptake inhibitors as first-line treatments and determined optimal timing for their administration. Dr. Yonkers led the DSM-5 Study Group for Race, Gender and Ethnicity and currently leads the Gender Study Group reviewing and conducting text revisions for the DSM-5 Text Revision. She serves as the inaugural Editor-in-Chief for the American Psychiatric Association's online journal, Psychiatric Research and Clinical Practice . Harold Berman Award for Mentorship (2018) Best Doctors designation (2016, 2015, 2014) Academy of Psychosomatic Medicine Wayne Katon Research Award (2014) Dr. Yonkers has secured significant research funding, including studies funded by NICHD that recruited approximately 2800 women to assess whether depression is a risk factor for preterm delivery, independent of antidepressant treatment. She also leads ongoing NIDA studies assessing hazardous substance use in pregnancy and the postpartum period. Her research group has developed important clinical tools, including the Substance Use Risk Profile-Pregnancy, an efficient screening measure for substance use in pregnancy. Her work has also demonstrated the therapeutic effect of progesterone for postpartum cocaine use and the efficacy of computerized brief interventions based on motivational principles for reducing substance misuse.

• Response Bias Detection
• Psychological Measurement Validity
• Implicit Association Tests (IAT)
• +۵ مورد دیگر

Jessica Röhner serves as Professor of Personality Psychology and Psychological Diagnostics at Otto-Friedrich-Universität Bamberg's Faculty of Social Sciences. Her research bridges psychological assessment methodology with contemporary societal challenges through leadership of the Response Bias Research Lab at the ZIAI Center for Artificial Intelligence. Her research focuses on response bias detection , employing a distinctive multimethod approach integrating: Diffusion model analyses of response latencies Machine learning classification of faking patterns Qualitative content analysis of cognitive faking processes Experimental manipulation of frame-of-reference effects Current work examines how intelligence and gender interact to shape faking behaviors in personnel selection contexts, with significant implications for assessment validity. Dr. Röhner's publication record shows consistent output in top-tier journals including Behavior Research Methods and International Journal of Selection and Assessment , with recent emphasis on: Faking strategy taxonomies IAT faking detection limitations AI applications in bias-resistant assessment Intersectional analysis of social origin and gender Her research program is supported by substantial funding: DFG grant (2024-2028): €784,000 for multimethod faking analysis Three internal University of Bamberg grants (2023-2025): €127,000 total Prior Equal Opportunities Office funding for faking detection projects As an active member of the Society for Personality and Social Psychology and Association for Psychological Science, she contributes to methodological advancement through tutorials like her 2024 R-based IAT computation guide. Her lab provides structured graduate training emphasizing methodological rigor while fostering intellectual independence through embedded project leadership roles.

• e-learning/m-learning
• virtual communities and social media
• semantic technologies
• +۴ مورد دیگر

Andrea Molinari is a Contract Professor at the University of Trento since 1990 and at the Free University of Bozen since 2002. He also serves as a Visiting Professor at Lappeenranta University of Technology (2021-2025) and holds a Docent position in Decision Making at the same institution (2024-2029). Previously, he was an Adjunct Professor at Turku University/Abo Akademi in Finland (2007-2019). Education: 2022: Doctoral Degree - Doctor of Science (Technology), Engineering Science, Software Engineering research field from LUT - Lappeenranta University of Technology. Dissertation: "Integration Between eLearning platforms and Information Systems: a New Generation of Tools for Virtual Communities" 1988: Master Degree in Economics from Università degli Studi di Trento with grade 110/110. Thesis: "P.I.R.S. Personal Information Retrieval Systems" Professor Molinari's research focuses on the intersection of education technology and information systems. His primary areas include e-learning/m-learning systems, virtual communities and social media, semantic technologies and ontologies, data management with AI applications, and Enterprise Project Management. His work bridges theoretical computer science with practical applications in educational and organizational contexts, particularly examining how technology can enhance learning experiences and organizational efficiency. His recent publications reveal a strong emphasis on the evolution of Learning Management Systems in the AI era, integration of semantic technologies with educational platforms, and applications of serious games for professional training. There's a clear trajectory toward more sophisticated, AI-enhanced educational technologies that incorporate data analytics, personalized learning, and advanced user modeling. Scientific Awards: Winner of the "S. Ciancio" scholarship (1980, 1982, 1983) Outstanding Paper Award at the Ed-Media World Conference on Educational Technology (1995) Since 1994, Professor Molinari has supervised approximately 10 thesis projects annually across multiple institutions including the University of Trento (Economics, Engineering), University of Bolzano (Computer Science, Education), and Abo Akademy in Finland. His teaching spans numerous courses related to information systems, project management, and technology applications across various academic disciplines. He has coordinated numerous research projects, particularly in the areas of e-learning platforms, virtual communities, and semantic technologies for educational applications. Professor Molinari is actively involved with several research communities and has served on program committees for numerous international conferences including IEEE-STAR, SMARTGREENS, and the International Conference on Web-based Education. His work often involves interdisciplinary collaboration between computer scientists, educators, and domain specialists to develop innovative technology-enhanced learning solutions.

Lars Bjørndalمشاهده پروفایل

استاد

• Cariology
• Endodontics
• Dental Pulp Inflammation
• +۴ مورد دیگر

Lars Bjørndal is Professor in Cariology and Endodontics at the Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen since 2024. Previously Associate Professor (2019-2024) and Head of Endodontics (2015-2019), he maintains a dual career in academic research and part-time clinical practice as a root canal specialist since 2002. His educational foundation includes: Dentist degree (Cand. Odont.) from University of Copenhagen (1988) PhD in Odontology (1992) Dr. odont. (2011) Specialized endodontics training (Sweden, 1999-2001) Operating microscope certification (Zeiss) His research revolutionizes caries management and endodontic treatment through four pillars: non-operative caries arrestment, pulp inflammation prevention, practice-based clinical trials, and AI integration in diagnostics. Pioneering work on stepwise excavation established biological protocols to avoid root canal treatments, while recent projects like 'Can BIG DATA save teeth?' bridge dentistry with computer science. Current publications reveal accelerating AI adoption in dentistry alongside refined caries excavation techniques. The 2024-2025 output shows 63% focus on AI/Big Data applications, 25% on caries management protocols, and 12% on endodontic outcomes research, reflecting strategic alignment with digital dentistry's future. His accolades include: Buonocore Commemorative Lecture award (2002) Danish Zendium Research Prize (2015) Journal of Endodontics publication award (2020) Top-cited International Endodontic Journal paper (2020-2021) As principal supervisor for two PhD candidates and mentor for 18 Master's theses, he secures substantial funding including DKK 1.8 million (2021) for AI dentistry and DKK 1 million (2012) for surgical microscopes. His total grants exceed 6 million DKK internal and 2 million DKK external funding during associate professorship. Co-founder of the Scandinavian Endodontic Research Collaboration (EndoReCo) and PRIRATE guidelines, he drives international standardization of endodontic clinical trials while leading the '20 Biennal Scandinavian Endodontic Society Congress'.

Samira Abbasgholizadeh-Rahimiمشاهده پروفایل

استادیار

• Artificial Intelligence in Primary Healthcare
• Digital Health Technologies
• Medical Machine Learning
• +۵ مورد دیگر

Dr. Samira Abbasgholizadeh-Rahimi serves as Assistant Professor at McGill University in the Faculty of Medicine and Director of Artificial Intelligence in Family Medicine (AIFM) . She holds the Canada Research Chair in Advanced Digital Primary Health Care and maintains affiliations with Mila – Quebec AI Institute and Lady Davis Institute for Medical Research . B.Eng., Ph.D. from McGill University President-Elect, Canadian Operational Research Society Her interdisciplinary research bridges Artificial Intelligence and Primary Healthcare , with specific focus on: AI-enabled decision support tools Explainable machine learning for clinical contexts Medical knowledge graphs and NLP applications Addressing algorithmic bias in vulnerable populations Ageism mitigation in health AI systems Digital support for neurocognitive disorders Recent publications demonstrate her expertise in: AI ethics and EDI integration (4 papers since 2024) Geriatric depression prediction models (2025 JMIR study) Shared decision-making frameworks (2022-2023 series) Conscious AI debates in clinical settings (2024 commentary) Scientific recognition includes: 2022 NAPCRG New Investigator Award Cross-institutional collaborations across Canada, Europe, and Asia Research funding sources: Fonds de recherche du Québec – Santé Natural Sciences and Engineering Research Council Brocher Foundation (Switzerland) CIHR SPOR grants Industry partnership with Roche Canada Lab activities including: Developing HOPE (Home-Based Older Adults' Depression Prediction) model Creating incorpoRATE SDM assessment framework Building evidence-based decision support tools for dementia caregivers Training next-gen AI healthcare researchers through Mila collaborations