جستجوی استاد راهنمای دانشگاهی

Kenneth B. Roberts, MD , is a Professor of Therapeutic Radiology at Yale School of Medicine and a practicing academic physician specializing in pediatric cancers, lymphomas, leukemias, sarcomas, and colo-anal cancers. He serves as Chief of the Cardiac Brachytherapy, Lymphoma/Sarcoma Radiotherapy, and Pediatrics Radiotherapy Programs at Yale and is Associate Chief of Radiation Oncology at Yale-New Haven Hospital. Education : BS in Chemistry and Biology from Massachusetts Institute of Technology (1979) MD from Duke University (1984) Residency in Radiation Oncology at Duke University Medical Center (1992), Internal Medicine at Ohio State University Hospitals (1987) Fellowship in Hematology-Oncology at Duke (1989) MS in Legal Studies from Duke University School of Law (1994) Research Interests center on brachytherapy , combined modality therapy , and the long-term effects of radiation therapy (e.g., secondary malignancies). He investigates dose optimization in Hodgkin’s disease, radiation economics, and late toxicity in pediatric patients. Recent Publications focus on pediatric Hodgkin lymphoma , prognostic scoring in lymphomas, brachytherapy applications , and late cardiac toxicity in survivors. His work also addresses economic drivers in radiotherapy adoption and subsequent cancer risks . Scientific Awards Elected Fellow of ASTRO (2024) America’s Top Doctors in New York Metro Area (since 2005) America’s Top Doctors for Cancer (since 2006) 1998 Travel Award to European Society of Therapeutic Radiology and Oncology Clinical Trials include sub-investigator roles in studies on pediatric gliomas , stereotactic body radiotherapy for lung cancer, Inotuzumab Ozogamicin for leukemia, and germ cell tumors .

• Radiation Oncology
• Brachytherapy
• Hodgkin Disease
• +۷ مورد دیگر

Maria Virvou serves as Professor and Chair of the Department of Informatics at the University of Piraeus, where she also directs the Graduate Program in Informatics and leads the Research Laboratory 'Software Technology'. She holds significant institutional leadership roles including membership in the University Senate and has chaired the Department of Informatics for multiple terms. As Editor-in-Chief of Springer book series 'Learning and Analytics in Intelligent Systems' and 'Artificial Intelligence-Enhanced Software and Systems Engineering', she maintains substantial academic influence across international scholarly platforms. Dr. Virvou earned her PhD in Computer Science and Artificial Intelligence from the University of Sussex with a scholarship from the State Scholarships Foundation, a Master of Science in Computer Science from University College London, and her undergraduate degree from the Department of Mathematics at the National and Kapodistrian University of Athens. Her educational background in both mathematics and computer science has provided a strong foundation for her interdisciplinary research approach. Professor Virvou's research spans Software Technology, Artificial Intelligence, Educational Software and Games, User Modeling, and Human-Computer Interaction. She has pioneered work in personalized interactive software systems, applying fuzzy logic and machine learning techniques to create adaptive educational environments. Her recent work demonstrates a strategic expansion into AI applications for healthcare, with significant contributions to medical diagnostics using large language models and multimodal AI systems. She has also made notable advances in smart tourism applications through personalization techniques. With over 400 publications to her name, Professor Virvou's scholarly output shows a clear progression from foundational work in user modeling toward increasingly sophisticated AI applications across multiple domains. Her publication trends reveal a strategic focus on explainable AI, multimodal systems, and practical implementations that bridge theoretical advances with real-world applications, particularly in healthcare and education sectors. Ranked #1 worldwide in 'User Modelling' publications (147,450 total publications) according to Scopus Ranked #1 worldwide in 'Educational Software' publications according to both Scopus and Microsoft Academic Search Recognized among the top 2% of most influential Artificial Intelligence scientists worldwide by Stanford University General Co-Chair at the 14th IISA Conference 2023 Invited Keynote Speaker at the 35th IEEE International Conference on Software Engineering Education and Training (CSEE&T 2023) As Director of the Research Laboratory 'Software Technology', Professor Virvou has built a robust research team focused on AI applications across multiple domains. She co-founded and co-chairs the IEEE Intelligent Information Systems and Applications international conference series, creating a significant platform for scholarly exchange. Her leadership extends to editorial roles with major academic publishers and active participation in international research collaborations that have secured substantial funding for innovative projects in AI and software engineering.

• Software Technology
• Artificial Intelligence
• Educational Software
• +۵ مورد دیگر

Anna N. A. Tosteson serves as Professor of The Dartmouth Institute, Professor of Medicine, and Professor of Community and Family Medicine at Dartmouth's Geisel School of Medicine, holding the James J. Carroll 1948 Professorship in Oncology. She directs the Comparative Effectiveness Research Program at The Dartmouth Institute for Health Policy and Clinical Practice, serves as Associate Director for Population Sciences at Dartmouth Cancer Center, and is Principal Investigator for SYNERGY (Dartmouth's Clinical and Translational Science Institute). Her educational background includes an ScD in Biostatistics (Health Decision Sciences) and MS in Biostatistics from Harvard University, plus a BS in Statistics & Biometry from Cornell University. She teaches PH 119/121 and QBS 140 on Decision and Cost-Effectiveness Analysis. As a decision scientist and health services researcher, Tosteson investigates healthcare innovation diffusion impacts on health outcomes, costs, and quality through diverse data sources including registries, EHRs, clinical studies, and claims data. Her research focuses on cancer screening, musculoskeletal disease, and women's health with emphasis on comparative effectiveness. Recent publications reveal strong trends in telehealth accessibility disparities, risk-based cancer screening protocols, rural-urban care access gaps, and diagnostic pathway optimization - particularly examining digital divides in mammography follow-up and cross-state cancer care travel patterns. Her active NIH-funded research includes Promoting follow-up of abnormal cancer screening tests using population-based systems (NCI: U01CA225451) and Risk-based breast cancer screening and surveillance in community practice (NCI: P01CA154292). She mentors through SYNERGY's CTSA program and leads population sciences initiatives at Dartmouth Cancer Center.

• Health Services Research
• Decision Science
• Cancer Screening
• +۵ مورد دیگر

Gregory Erhardt is an Associate Professor at the University of Kentucky's Stanley and Karen Pigman College of Engineering. His research focuses on advancing transportation forecasting through evidence-based policy decisions, integrating big data and activity-based models to address challenges in transit investment and emerging mobility technologies. Research Interests: Activity-Based Travel Models, Big Data Applications, Forecast Accuracy Assessment Email: greg.erhardt@uky.edu Erhardt's work spans the intersection of transportation infrastructure, data science, and policy analysis. He specializes in developing modeling tools to predict the effects of transit projects, evaluating ride-hailing impacts, and improving forecasting methodologies. Recent publications highlight trends in transportation network companies (TNCs), activity-based modeling frameworks, and transit ridership dynamics. His research explores ride-hailing driver participation, multi-modal optimization, and the relationship between microtransit and congestion patterns. Key themes include the integration of longitudinal datasets, bias mitigation in TNC data analysis, and evaluating the accuracy of traffic forecasting systems. His work provides actionable insights for policymakers in a rapidly evolving transportation landscape.

• Activity-Based Travel Models
• Application of Big Data to Travel Forecasting
• Transport Forecast Accuracy

Dr. Ioannis Kaparias is an Associate Professor in Transport Engineering at the University of Southampton, affiliated with the Transportation Research Group (TRG). He holds a Master of Engineering from Imperial College London and a PhD from the same institution. His academic career includes roles at City, University of London, and postdoctoral research at Imperial College. He is a Fellow of Advance HE, a member of the Chartered Institute of Highways and Transportation (CIHT), and serves as Deputy Editor-in-Chief of the IET Intelligent Transport Systems journal. Education: MEng in Civil Engineering, Imperial College London (2004) PhD in Transport Engineering, Imperial College London (2008) Postdoctoral Researcher, Imperial College London (2008–2012) Research Interests: Efficient, safe, and sustainable land transport systems Highway and traffic management, including real-time routing and network reliability Active travel modes (cycling/pedestrian infrastructure) Public transport operations and optimization New transport technologies (CAVs, MaaS, EVs) Land use-transport interaction models Teaching: Highway & Traffic Engineering modules at Southampton Doctoral Programme Director (Training) in the School of Engineering Past roles include teaching at Imperial College London, City University London, and the University of East London External Roles: Member of US Transportation Research Board committees (Pedestrians/ACH10 and Human Factors/ACH40) Independent expert for the European Commission Speaker at international conferences (e.g., 'To share or not to share space? A very British tale', 2023)

• Transport Engineering
• Sustainable Transportation
• Traffic Management
• +۶ مورد دیگر

Ziqi Song is an Associate Professor in the Department of Civil, Structural and Environmental Engineering at the School of Engineering and Applied Sciences, University at Buffalo. Their research focuses on Transportation Engineering, with expertise in transportation network modeling, electrification, intelligent transportation systems, and traffic operations. Recent work includes zero-emission mobility strategies , electric bus charging infrastructure , autonomous vehicle lane deployment , and pedestrian group dynamics . Key themes involve optimizing transportation systems for electrification, integrating renewable energy into transit networks, and addressing equity in mobility through accessibility studies. Publications show strong emphasis on electric vehicle integration , urban transit optimization , and pedestrian behavior modeling . The work spans multi-disciplinary approaches combining transportation network analysis , renewable energy , and machine learning techniques.

• Transportation network modeling
• Transportation Electrification
• Intelligent Transportation Systems
• +۲ مورد دیگر

Professor Kenneth T. V. Grattan serves as the Royal Academy of Engineering/George Daniels Professor of Scientific Instrumentation at the School of Engineering, City, University of London. He has held this prestigious position since October 1, 1983, demonstrating a long-standing commitment to advancing scientific instrumentation and sensor technologies. Professor Grattan's research spans multiple domains within optical sensing and instrumentation. His primary research interests include: Optical fibre sensors for various physical and chemical parameter measurements Laser-based sensing systems and photonics technologies Instrumentation design for industrial and biomedical applications Advanced signal processing techniques for sensor data interpretation Novel materials integration in sensor development His recent publication record demonstrates a strong focus on developing sophisticated optical sensor systems with practical applications. Professor Grattan's work shows consistent innovation in fiber Bragg grating technology, interferometric sensing approaches, and microfluidic integration. His research group has made significant contributions to dual-parameter sensing systems, environmental monitoring solutions, and biomedical sensing applications. The trend in his recent publications indicates increasing interdisciplinary collaboration, particularly with biomedical researchers and industrial partners to translate laboratory innovations into practical measurement systems. As the George Daniels Professor of Scientific Instrumentation, Professor Grattan holds one of the most prestigious named chairs in the field, supported by the Royal Academy of Engineering. This position recognizes his significant contributions to advancing measurement science and instrumentation technology. Professor Grattan has supervised numerous PhD students and research associates throughout his career, though specific names are not detailed in the available information. His research has been supported by various funding bodies and industrial partnerships, enabling the development of cutting-edge sensor technologies with real-world applications. His laboratory at City, University of London focuses on developing next-generation optical sensor systems, with particular emphasis on making measurements in challenging environments. The research group maintains strong connections with industry partners to ensure practical relevance of their developments.

• Instrumentation
• Sensors
• Optical Fibre Sensors
• +۲ مورد دیگر

Assoc. Prof. Dr. Yıltan Bitirim is a faculty member at the Computer Engineering Department of Eastern Mediterranean University in North Cyprus. With over two decades of academic experience, he has served in various roles including Vice Chair (2014-2022), Academic Affairs Coordinator (2025-), and committee member for ABET assessment, curriculum development, and faculty recruitment. Current academic rank: Associate Professor Active administrative roles: Senate Member (2023-), Information Technology Commission Member (2023-) Professional memberships: ACM, IEEE Senior Member, Cyprus Turkish Chamber of Computer Engineers Research Interests focus on four primary areas: Information Retrieval Systems – evaluating search engine effectiveness and reverse image search performance Machine Learning – applied to emotion classification, gender recognition, and medical diagnosis Data Mining – used in Turkish word-stemming analysis and user behavior studies Biometrics – specializing in hand/wrist/palm vein recognition systems and voice-based identification Publications demonstrate consistent contributions across disciplines, with recent works (2023-2025) emphasizing: Deep learning applications in biometric authentication Advanced emotion recognition systems Medical AI for diabetes management and retinopathy diagnosis Biometric spoof detection mechanisms Turkish language processing challenges Recommendation system innovations Awards & Recognition : Research Incentive Awards (2020, 2021) Best Paper Award at ICIW 2007 IEEE Senior Member status As an educator, he has supervised numerous thesis committees and taught foundational courses in computer engineering, including CMPE 112 and CMPE 342. His certifications (MCTS, MCITP) reflect technical expertise in Microsoft technologies.

• Information Retrieval Systems
• Machine Learning
• Data Mining
• +۱ مورد دیگر

Dana Rowangould serves as Assistant Professor in the Department of Civil and Environmental Engineering at the University of Vermont's College of Engineering and Mathematical Sciences. Her interdisciplinary work bridges engineering, economics, and social sciences to address transportation system challenges, with particular focus on improving mobility for constrained-travel populations. Her educational background includes: Ph.D. in Ecology (Environmental Policy emphasis) from University of California, Davis M.S. in Agricultural and Resource Economics from University of California, Davis B.S. in Civil and Environmental Engineering from Rice University Dr. Rowangould's research centers on transportation equity and justice , rural travel behavior , and accessibility measurement , with significant contributions to understanding rural mobility constraints, transit recovery post-pandemic, and policy impacts on vulnerable populations. Her methodology integrates spatial analysis, behavioral studies, and policy evaluation to develop equitable transportation solutions. Recent publications reveal a pronounced focus on rural transportation challenges, including travel burdens among migrant communities, wildfire evacuation safety, and electric vehicle adoption barriers. Her work increasingly addresses contemporary policy shifts through the lens of transportation justice, examining how anti-DEI movements impact mobility access while developing practical tools for accessibility measurement. As founder of Sustainable Systems Research, she has partnered with community organizations on transportation health impact assessments. Her teaching at the University of Washington included Health and Sustainable Transportation and Transportation Economics courses. Current affiliations include the Transportation Research Center where she contributes to Vermont Transportation Energy Profile initiatives and pedestrian safety evaluations in rural contexts.

• Transportation equity and justice
• rural travel behavior
• accessibility measurement
• +۴ مورد دیگر

Dr. Dilum Dissanayake is an Associate Professor in Human Geography and Transportation Planning at the University of Birmingham's School of Geography, Earth and Environmental Sciences. She holds a PhD from Nagoya University, Japan, and has expertise in transport planning, data analysis, and behavioral change to mitigate climate change. Her research integrates computing, data mining, and behavioral sciences with a focus on sustainable mobility, smart infrastructure, and innovative transport solutions. Education: PhD (Transport Planning), Nagoya University, Japan MEng (Infrastructure Planning and Management), Asian Institute of Technology, Thailand BSc (Hons) (Civil Engineering), University of Moratuwa, Sri Lanka Diploma in Programming Research Interests: Travel demand modeling, electric/autonomous vehicles, behavioral change for sustainability, transport policy analysis (e.g., congestion pricing, telecommuting), and developing country transport challenges. She applies methods like discrete choice models, machine learning, and NLP. Awards & Grants: Co-Investigator in CLEETS (UK-Japan £10m project), Principal Investigator in Capitalisation and eHUBS (€392k/€412k EU projects). Notable awards include the 2022 Remarkable Women in Transport Award and Duo-India Fellowship. Advising & Grants: Supervises 6 current PhD students and has guided 10 completed PhDs. Leads Transport Demand Management in CLEETS and Transport Modelling in Capitalisation. Teaches modules like Sustainable Cities and One-Planet Thinking. Labs/Teams: Part of Birmingham's Sustainable Cities research group, leading projects on micro-mobility, EV adoption, and post-pandemic transport trends. Engages in international collaborations via CLEETS and eHUBS.

• Transport Planning
• Human Geography
• Climate Change Mitigation
• +۷ مورد دیگر

Prof. Dorothy Kenny is a full professor of Translation Studies at Dublin City University, affiliated with the School of Applied Language & Intercultural Studies. She holds a BA in French and German from DCU, an MSc in Machine Translation, and a PhD in Language Engineering from the University of Manchester. Her research focuses on AI in literary translation, corpus linguistics, machine translation ethics, and translation pedagogy. She led the EU-funded MultiTraiNMT project (2019–2022), developing materials for MT education. She co-edits the journal Translation Spaces and is an Honorary Fellow of the Chartered Institute of Linguists (UK). Education: BA in French and German, Dublin City University MSc in Machine Translation, University of Manchester PhD in Language Engineering, University of Manchester Research Interests: Her work bridges theoretical and applied translation studies, emphasizing corpus-based methods, machine translation ethics, and the impact of AI on literary translation. Recent projects explore customization of MT for literary texts and ethical workflows in MT. Awards & Recognition: 2020: Co-edited Fair MT: Towards Ethical, Sustainable Machine Translation 2017: Edited Human Issues in Translation Technology 2020: Honorary Fellowship from the Chartered Institute of Linguists Grants & Projects: Principal Investigator of MultiTraiNMT (EU-funded, 2019–2022) Recipient of Ulysses Travel Grant (2018–2019) for collaboration with Université Grenoble-Alpes Labs & Teams: She directs research at the Centre for Translation and Text Studies (CTTS) , fostering interdisciplinary work on translation technology and corpus linguistics.

• AI and Literary Translation
• Corpus Linguistics
• Translation Theory
• +۴ مورد دیگر

Professor Stephen Bird is a renowned performance scientist and strength and conditioning expert at the University of Southern Queensland (USQ), leading the School of Health and Medical Sciences. He holds the title of Professor (Sport and Exercise Science) and directs the High-Performance Sport program. His roles include Editor-in-Chief of the International Journal of Strength and Conditioning and advisor to organizations like the Australian Strength and Conditioning Association. Education: BHumMov(ExSc), BHumMov(Hons), and PhD from Charles Sturt University. Research Focus: Strength and conditioning methodologies, nutritional supplementation, athlete recovery, and technology-driven performance optimization. Key Projects: '2 WIN 2032' student-athlete empowerment initiative, NBA sleep health studies, and blood flow restriction (BFR) training for muscle/bone health in space travel. Affiliations: Institute for Resilient Regions (IRR), National Health and Medical Research Council (NHMRC) peer review, and collaborations with Flinders University, University of Gloucestershire. Research interests span elite athlete performance (basketball, rugby, hockey), female athlete health, and applications of pupillometry and wearable tech for fatigue monitoring. Awards include the prestigious ESSA Medal (2006) and Life Membership (Western Region Academy of Sport). Teaching includes courses on strength training, sports nutrition, and athlete workload monitoring. He has supervised over 20 doctoral and master’s students, contributing to >40 research outputs annually. Grants include a $832k Quantum wearable sensor project (2024) and $240k AI-driven motion capture initiative. His work bridges academia and elite sport, advising teams like the Brisbane Bullets (NBL) and GB Women’s Basketball. Recent trends in publications emphasize NBA performance metrics, sleep science, and interdisciplinary solutions for athlete resilience.

• Exercise Physiology
• Clinical and Sports Nutrition
• Sports Science and Technology
• +۵ مورد دیگر

Jee Eun (Jamie) Kang is an Associate Professor in the Department of Industrial and Systems Engineering at the University at Buffalo's School of Engineering and Applied Sciences. Research focuses on transportation modeling and applied operations research, with applications in urban mobility, shared autonomous vehicles, and sustainable transportation systems. Education includes a PhD from UC Irvine. Research emphasizes data-driven approaches to travel behavior, electric vehicle adoption, and humanitarian logistics. Publications consistently address mobility innovation, including pricing strategies for emerging services, predictive analytics for transit, and optimization of shared transportation systems.

• Transportation modeling
• Applied operations research

Prof. Berna Kılınç is a faculty member in the Department of Philosophy at Boğaziçi University, Faculty of Letters. She holds a Ph.D. from the University of Chicago and serves as Department Chair and Fourth Year Advisor. Her academic work spans philosophy of science, logic, epistemology, and the history of science, with a particular focus on probability theory and Kantian philosophy. Ph.D., University of Chicago, USA Her research interests include the history and philosophy of probability, Kant’s theoretical philosophy, statistical reasoning, and informal logic. She explores foundational questions in scientific reasoning, objectivity, and the evolution of logical thought, often bridging historical analysis with contemporary philosophical debates. The recent publications of Prof. Kılınç reflect a sustained engagement with logic, epistemology, and the philosophy of science. Her work spans from Kantian metaphysics to feminist epistemology and statistical methodology, demonstrating a broad yet coherent trajectory centered on the nature of scientific and logical reasoning. She frequently publishes on Ottoman science, the philosophy of chance, and meta-theoretical issues in research synthesis. No scientific awards were mentioned in the provided text. Prof. Kılınç has editorial and translation experience, having co-edited volumes of the World Congress of Philosophy and several issues of Felsefe Tartışmaları . She has translated philosophical texts into Turkish, contributing to the dissemination of analytic philosophy in Turkey. While specific grant information is not provided, her publications in international journals and edited volumes suggest active research engagement. She advises senior students as the Fourth Year Advisor, indicating a role in academic mentoring. There is no mention of specific labs or research teams in the provided information.

• History and Philosophy of Probability Theory
• Kant’s Theoretical Philosophy
• Statistical Reasoning
• +۵ مورد دیگر

Dong Ngo Duy is an Associate Professor in the Department of Civil & Environmental Engineering at Monash University, where he serves as the Head of the Transport Section. He holds a PhD in Traffic Flow Theory and Simulation from Delft University of Technology and has held academic positions at the University of Leeds (UK), University of Canterbury (NZ), and now Monash University (Australia). PhD, Traffic Flow Theory, Technische Universiteit Delft (2006) MSc, Traffic Engineering, Linköpings Universitet (2002) His research focuses on Connected and Autonomous Vehicles (CAVs) , Traffic Flow Theory , Data Fusion , and Urban Network Optimization . He applies AI and machine learning to model, predict, and control multi-modal traffic systems, aiming to develop smart city platforms for sustainable transport in mega-cities. The recent trend in his publications (2022–2025) reflects a strong focus on intelligent transportation, including trajectory planning, risk-aware control, car-following modeling using neural symbolic regression, and intercity mobility analysis. His work bridges theoretical modeling with practical applications in emerging connected environments. Scientific Awards: UK Research Council (EPSRC) Advanced Fellow Award (2011–2016) in Connected and Autonomous Vehicles Dong Ngo Duy actively supervises PhD students and contributes to major research initiatives in intelligent transport systems. His work aligns with UN Sustainable Development Goals, particularly in sustainable cities and transport. He previously chaired the Connected Traffic Systems Lab at the University of Canterbury and continues to lead impactful research in transport innovation.

• Connected and Autonomous Vehicles
• Traffic Flow Theory and Simulation
• Data Fusion
• +۷ مورد دیگر