جستجوی استاد راهنمای دانشگاهی

Ben Fulcherمشاهده پروفایل

پژوهشگر ارشد

• Brain Connectivity
• Schizophrenia
• Time Series Analysis
• +۷ مورد دیگر

Ben Fulcher is an NHMRC Early Career Fellow at the Brain and Mental Health Laboratory (BMH) within the School of Psychological Sciences at Monash University. His research integrates physics-based modeling, time-series analysis, and machine learning to study brain connectivity in schizophrenia and the interplay between gene expression and neural networks. He holds a B.Sc. (Adv) (Hons) in Physics and Nanoscience from the University of Sydney (2007), an M.Sc. in Physics (2008), and a DPhil from the University of Oxford (2012) focusing on highly comparative time-series analysis. Research Interests: His work spans computational neuroscience, brain connectivity modeling, and interdisciplinary applications of time-series analysis. Key areas include schizophrenia pathophysiology, sleep-wake dynamics, and network-based approaches to mental health. His platform www.comp-engine.org/timeseries provides a collaborative resource for time-series analysis methods. Projects: He leads projects like 'From brain maps to mechanisms: modeling schizophrenia pathophysiology' (NHMRC-funded, 2015-2017) and collaborates on initiatives such as 'Integrating theory-guided and data-driven approaches for measuring consciousness' (NHMRC, 2020-2024). These projects address consciousness measurement, circadian rhythm biomarkers, and schizophrenia modeling. Publications: Over 50 peer-reviewed articles focus on brain dynamics, schizophrenia, and sleep modeling. Recent work includes geometric constraints in brain function (Nature, 2023) and network-based analysis of psychosis progression (JAMA Psychiatry, 2023). Awards: NHMRC Early Career Fellowship (2015-2017). His work aligns with UN Sustainable Development Goals related to health and well-being. Labs & Teams: Active in the BMH Lab and collaborates internationally with institutions like Oxford and Monash's MCIN (Clinical & Imaging Neuroscience).

Mohd-Zulhilmi Paiz Ismadiمشاهده پروفایل

مدرس ارشد

• Imaging Techniques
• Stratified Flow Behavior
• Experimental Fluid Mechanics
• +۴ مورد دیگر

Dr. Mohd-Zulhilmi Paiz Ismadi is a Senior Lecturer at Monash University's School of Engineering, specializing in Mechanical Engineering. He holds a PhD in Fluid Mechanics of Bioreactors from Monash University (2013) and a BEng (Hons) in Mechanical Engineering (2009). His research bridges academia and industry, focusing on imaging techniques, stratified flow behavior, and non-destructive assessment. He has secured over RM2 million in grants and collaborates with multinational organizations. Dr. Ismadi teaches courses such as MEC2402 Engineering Design I and MEC4407 Design Project. His industrial expertise includes engineering consultancy for government/private sectors and development of machine learning-driven data interpretation systems. He serves as Head of Panel at Malaysia's Engineering Accreditation Council (EAC) and contributes to youth development via the Ministry of Youth and Sports. Research highlights include wind turbine performance optimization, crack segmentation using deep learning, and acoustic-enhanced water treatment. He has published 24+ articles and received the 2019 PVC Excellence in Education Award. Current projects involve Bayesian Monte Carlo methods for pipe damage assessment and single-pixel imaging via generative adversarial networks. Dr. Ismadi's work aligns with UN SDGs related to affordable energy and sustainable cities. He actively peer-reviews for journals like Measurement and IEEE Sensors Journal , and chairs accreditation panels for engineering programs.

Marina Sokolovaمشاهده پروفایل

استادیار

• Text Data Mining
• Machine Learning
• Social Mining
• +۳ مورد دیگر

Marina Sokolova is an Assistant Professor in the Faculty of Medicine at the University of Ottawa, affiliated with the School of EPHPM and the Institute for Big Data Analytics. Her research focuses on text data mining, machine learning, and privacy-preserving techniques applied to healthcare and social media contexts. She holds a Ph.D. and M.Sc., and her work addresses challenges in analyzing large-scale, dynamic datasets (Big Data), particularly user-generated content related to personal health information and public health trends. Her research interests include sentiment analysis of health-related social media (e.g., Reddit, Twitter), development of privacy-aware algorithms, and automated methods for extracting insights from medical forums. She contributes to international conferences and journals in artificial intelligence and text mining, emphasizing explainable AI and ethical data practices. Dr. Sokolova collaborates on projects like YOURPRIVACYPROTECTOR, a privacy-recommendation system for social networks, and explores topics such as gene ontology analysis (via deepSimDEF) and biomedical NLP. Her articles span over two decades, with recent work emphasizing longitudinal sentiment analysis (2024), privacy-by-design frameworks (2022), and multi-class medical classification systems. She advises graduate students and has pioneered evaluation measures for classification tasks in health informatics. Her research bridges computational linguistics, machine learning, and healthcare ethics, addressing critical issues in data privacy and algorithmic transparency. Labs/Teams: Core member of the Institute for Big Data Analytics, collaborating with interdisciplinary teams on NLP and privacy engineering. Active in the Faculty of Medicine’s health informatics initiatives.

William R. Taylorمشاهده پروفایل

استاد

• Biomechanics
• Musculoskeletal Engineering
• Orthopedics
• +۷ مورد دیگر

Prof. Dr. William R. Taylor is a Professor of Movement Biomechanics at ETH Zürich's Department of Health Sciences and Technology, where he also serves as the Head of the Department and Deputy Head of the Institute for Biomechanics. His primary focus is on developing medical engineering concepts to assess musculoskeletal deficits and movement pathologies, with applications in clinical decision-making and targeted therapies. He has pioneered techniques such as the REFRAME approach for knee implant design evaluation and dynamic videofluoroscopy for joint analysis. William R. Taylor holds a Ph.D. in Biomedical Engineering from the University of Bath (1999). His academic journey includes postdoctoral research at the Biomechanics Research Lab, Prince of Wales Hospital, Sydney, Australia, and leadership roles at the Julius Wolff Institute, Charité – Universitätsmedizin Berlin (2001–2012). His research interests span biomechanics of aging, Parkinson’s disease gait analysis, spinal alignment in scoliosis, and wearable sensor technologies. He leads the Laboratory for Movement Biomechanics, which develops innovative solutions for musculoskeletal and neurological conditions, including wheelchair steering systems and fall prevention interventions for the elderly. Prof. Taylor has received prestigious awards, including the European Society of Biomechanics SM Perren Award (2022) and ISB Clinical Biomechanics Award (2021). His work has produced over 160 peer-reviewed journal contributions, emphasizing interdisciplinary collaboration between engineering, clinical neuroscience, and data science. Current projects include optimizing subthalamic nucleus DBS for Parkinson’s gait improvement, assessing stress-related low back pain in occupational settings, and validating spinal alignment models like ScolioSIM. He also explores the impact of electrode placement, sensor technologies, and machine learning in functional outcome predictions.

• Mental Health
• Suicide Prevention
• Clinical Psychology
• +۳ مورد دیگر

Isabelle Hunt is a Senior Research Fellow at the University of Manchester's Division of Psychology & Mental Health. Her research focuses on suicide prevention, mental health services, and clinical psychology. She has contributed to over 78 publications and led projects such as the "Suicide in current and recently discharged psychiatric in-patients: A case-control study" . Her work aligns with UN Sustainable Development Goals related to mental health and well-being. Key areas of research include suicide-related internet use, substance use in schizophrenia, and patient safety in psychiatric care. Hunt received the Making a Difference - Social Responsibility award in 2021 for her contributions to mental health advocacy. Her academic output spans epidemiological studies, clinical surveys, and mixed-methods analyses. Collaborations include national clinical inquiries into suicide and homicide, emphasizing evidence-based policy recommendations.

• Geocollaboration
• Big Geospatial Data Analytics
• Geospatial Web Services
• +۷ مورد دیگر

Dr. Songnian Li is a Professor and Associate Chair (Graduate Studies) in the Department of Civil Engineering at Toronto Metropolitan University. He holds a B.Eng. from Wuhan Technical University of Surveying and Mapping (now Wuhan University) and a PhD from the University of New Brunswick. His research focuses on geocollaboration systems, big geospatial data analytics, human mobility patterns, and digital twins for smart cities. He leads the GIS and GeoCollaboration Lab and has contributed to over 50 peer-reviewed publications. Dr. Li has received numerous accolades including the ISPRS Fellow (2020), 2023 Career Achievement Award, and multiple best paper awards. He serves as Editor-in-Chief of the Canadian Journal of Remote Sensing and holds editorial roles in several international journals. He actively supervises PhD and MASc students in geomatics engineering and related interdisciplinary programs. His professional memberships include leadership roles in the International Society for Photogrammetry and Remote Sensing (ISPRS), Canadian Society for Remote Sensing (CSRS), and the Canadian Institute of Geomatics. He has delivered keynote lectures globally and pioneered research in geosocial media analytics and spatio-temporal dynamics.

Stanley KOKمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• E-Commerce
• +۶ مورد دیگر

Stanley KOK is an Assistant Professor at the Department of Information Systems & Analytics, School of Computing, National University of Singapore (NUS). He also serves as the Associate Director of the NUS AI Lab. He holds a Ph.D. in Computer Science from the University of Washington and a combined A.B./S.cB. in Computer Science & Economics from Brown University. His research focuses on artificial intelligence, machine learning, and their applications in e-commerce, fintech, healthcare, and social networks. He has led projects on AI-driven product categorization and interpretable healthcare models. Education: Ph.D., Computer Science, University of Washington, 2010 Combined A.B./S.cB., Computer Science & Economics, Brown University, 1999 Research Interests: AI/ML applications in e-commerce and healthcare Machine Translation for Product Categorization Interpretable Machine Learning Models Social Network Analysis Recent work emphasizes scalable AI solutions for product taxonomy (e.g., translating product descriptions to categories) and healthcare predictive systems. His articles span topics like graph neural networks for credit scoring and accountable relational triple extraction. Awards include teaching excellence and research grants from NUS and industry partners. Advising and Grants: Guided over 20 students to academic and industry roles Recipient of National Innovation Challenge grant (2019) and Rakuten collaborations Labs/Teams: Leads the SGEMS lab, focusing on energetic and motivated student-driven AI research. Collaborates with NUS AI Lab and industry partners like Rakuten.

• Pharmacoepidemiology
• Pragmatic Randomized Trials
• Cluster Randomized Trials
• +۵ مورد دیگر

Tjeerd Van Staa is a Professor of Health e-Research at the University of Manchester's Division of Informatics, Imaging & Data Sciences. He specializes in pragmatic randomized trials using electronic health records (EHRs), with a focus on cluster trials and pharmacoepidemiology. His research addresses interventions in primary care, drug safety, and osteoporosis. He holds a MD from Erasmus University Rotterdam, a PhD in Pharmacoepidemiology from Utrecht University, and advanced degrees in Epidemiology and Medical Ethics. His career includes roles as Director of Research at the Clinical Practice Research Datalink and leadership in international collaborations like the Innovative Medicines Initiative. He teaches at Utrecht University and the London School of Hygiene & Tropical Medicine, covering pharmacoepidemiology and drug safety. Notable awards include the 2005 Iain I Boyle Award for contributions to bone disease research. Key projects include the RAPID-RT initiative improving lung cancer survival through real-world data, and the DynAIRx study optimizing medication reviews for patients with multimorbidity. He has contributed to over 310 publications, focusing on antibiotic prescribing, EHR data utilization, and clinical trial design.

Nikolas Thomopoulosمشاهده پروفایل

دانشیار

• Sustainable Transport & Mobility
• Autonomous and Connected Transport
• Electric Vehicles
• +۵ مورد دیگر

Dr Nikolas Thomopoulos is an Associate Professor in Transport at the University of Surrey, where he leads the Sustainable Transport & Mobility Programme of the Institute for Sustainability. He is affiliated with the Department of Tourism and Transport within the Faculty of Arts, Business and Social Sciences, and contributes to several research centers including the Centre for Sustainability and Wellbeing in the Visitor Economy and the Institute for Sustainability. His academic background includes: BSc from University of Macedonia, Greece MSc from University of Oxford, UK PhD from University of Leeds, UK Dr Thomopoulos' research focuses on the wider impacts of autonomous, automated and electric vehicles, managing transport to improve tourist wellbeing, data and privacy management policies, lifelong community mobility, and urban mobility innovation. His work bridges transportation engineering, sustainability science, and tourism management, with particular emphasis on how technological innovations in transport can contribute to the UN Sustainable Development Goals. He examines both the technical aspects of new mobility solutions and their societal implications, ensuring a holistic approach to sustainable transport systems. His publication record demonstrates consistent focus on sustainable transport solutions, with recent work analyzing electric vehicle adoption in China, active travel infrastructure, and the sustainability implications of automated and connected transport. These publications reveal a strong interdisciplinary approach that combines transportation engineering with social science perspectives to address complex mobility challenges. As an academic leader, Dr Thomopoulos has received numerous honors including being a Marie Curie fellow and a Fellow of the Regional Studies Association. His leadership extends to: Chair of WISE-ACT (Wider Impacts and Scenario Evaluation of Autonomous and Connected Transport) WG Leader of BOPALiM (2024-2028) Principal Investigator of multiple research projects With over 15 years of teaching experience in the UK at both undergraduate and postgraduate levels, Dr Thomopoulos currently supervises three Post-Graduate Researchers. He has secured funding from various sources including Horizon Europe, H2020, and UK research councils for projects such as R-Map, WE-TRANSFORM, and Ready2Drive. His consultancy work has informed strategic planning for organizations like Network Rail. Dr Thomopoulos leads the Sustainable Transport & Mobility Programme at the Institute for Sustainability, collaborating with international partners across 42 countries through WISE-ACT. His work with the Surrey Living Lab has directly influenced local active travel policies, and he serves as the Lead Academic Integrity Officer for SHTM and School Research Seminar Series Coordinator.

• Artificial Intelligence
• Telecommunication Networks
• Energy Efficiency
• +۵ مورد دیگر

Hergys Rexha is a Postdoctoral Researcher at Åbo Akademi University's Faculty of Science and Engineering, specializing in the Department of Information Technology. His work contributes to UN Sustainable Development Goals related to sustainable shipping and energy efficiency. Rexha has been involved in projects such as FuSE: Future Shipping Electrified (2023-2025) and FUDGE-5G: Fully Disintegrated private networks for 5G verticals (2020-2023), focusing on AI-driven solutions for maritime logistics and 5G networks. His research spans Artificial Intelligence , Telecommunication Networks , Energy Efficiency , and Edge Computing . Key areas include computational offloading for low-power devices, explainable AI in medical imaging, and runtime systems for stream processing. Rexha holds a PhD in Computer Science from Åbo Akademi University (2023), where his doctoral thesis addressed energy-aware runtime systems. Rexha has authored over 12 publications, including works on neural networks for breast cancer segmentation and AI in green shipping. His datasets, such as the SODD – Subaquatic Object Detection Dataset , support edge AI applications in underwater environments. Collaborations span international institutions, emphasizing interdisciplinary approaches to sustainable technology.

• Cross-cultural Negotiation
• Intercultural Communication
• Conflict Management
• +۳ مورد دیگر

Zhenzhong Ma is a Professor in the Management department at the Odette School of Business , University of Windsor . Holding a Ph.D. in Management from McGill University (2004), his academic career spans over two decades with a focus on cross-cultural negotiation and organizational dynamics. Research Highlights : Cross-cultural Negotiation Intercultural Communication Conflict Management Knowledge Management Organizational Behaviour Workforce Diversity Article Trends : Recent publications emphasize digital innovation, AI ethics, and cross-cultural management. Topics include AI-driven fraud detection, big data impacts on social innovation, and cultural influences on corporate governance. Professional Affiliations : Active member of leading academic societies including the Academy of International Business (AIB), Academy of Management (AOM), and International Association for Chinese Management Research (IACMR).

Bharat Maheshwariمشاهده پروفایل

دانشیار

• Information Systems
• Management Science
• Technology Management
• +۳ مورد دیگر

Bharat Maheshwari is an Associate Professor at the Odette School of Business , University of Windsor, where he serves as Program Director for the MBA/MBA-MP programs. His academic career spans over 15 years at the University of Windsor, progressing from Lecturer to Associate Professor. Education : Ph.D. in Information Systems and Technology Management (Carleton University, 2007), MA in Management (Carleton University, 2001), and B.A. in Mechanical Engineering (Malviya National Institute of Technology, India, 1995) His research focuses on information systems , technology management , and supply chain management , with particular interest in ERP systems, crowdsourcing, e-government portal development, and organizational innovation processes. Recent work includes demand forecasting using neural networks in the Canadian forest industry and value co-creation in digital platforms. Selected publications demonstrate expertise in technology adoption (ERP systems, cloud computing, mobile data technology), strategic management (stage gate approach, open business models), and organizational effectiveness (performance measurement, compliance management). His 2022 study on forest industry demand forecasting exemplifies his analytical approach combining machine learning with supply chain optimization. Scientific Awards : Emerald Literati Network Highly Commendable Paper Award (2013), Professor of the Year (2012), Odette New Researcher Award - Honourable Mention (2011), and multiple best paper awards Competitive Grants : $25,000 for experiential learning (2016-2018), $6,000 for post-COVID supply chain research (2021), and various research grants from institutions like Canadian Purchasing Research Foundation and Tri-Council He maintains active academic service through advisory roles in organizations like the Supply Chain Management Association of Canada and professional memberships in the Chinese Association for Management of Technology. His teaching experience includes ERP systems institutionalization, technology transfer management, and application of TRIZ methodology to non-technical problems.

Luigi Ferini Strambiمشاهده پروفایل

استاد

• Sleep Medicine
• Neurology
• Psychology
• +۳ مورد دیگر

Luigi Ferini Strambi is a Full Professor of General Psychology at the University Vita-Salute San Raffaele in Milan. His research focuses on sleep disorders (e.g., insomnia, hypersomnia) and sleep-related movement/behavior disorders, with over 195 international publications. He has held roles including Director of Neurology and Head of the Sleep Medicine Center since 1988, and currently chairs the European Division of the World Association of Sleep Medicine. He directs the Bollettino dell’Associazione Italiana di Medicina del Sonno and serves as Field Editor for Sleep Medicine . Education: MD from University of Milan; postgraduate training at Baylor College of Medicine (USA) and Stanford University. Leadership: Past-President of the Italian Sleep Medicine Association; Secretary of the International REM Sleep Behavior Study Group. His work bridges clinical neurology and sleep science, with recent studies on REM sleep behavior disorder, obstructive sleep apnea, and glymphatic system dysfunction in neurodegeneration. He coordinates PhD programs in Cognitive and Behavioral Sciences at San Raffaele since 2018.

Minghao Liمشاهده پروفایل

دانشیار

• Labor Economics
• Urban Economics
• Agricultural Economics
• +۴ مورد دیگر

Minghao Li is an Associate Professor in the Department of Economics, Applied Statistics, and International Business at New Mexico State University’s College of Business. His research focuses on labor, urban, and agricultural economics with a particular emphasis on intergenerational mobility, trade policies, and China’s economic development. He holds a Ph.D. in Agricultural, Environmental, and Regional Economics from Penn State University (2017), and master’s degrees in Community Development & Applied Economics (University of Vermont, 2012) and Material Science (Jilin University, 2010). His work examines topics such as the U.S.-China trade war’s economic impacts, China’s agricultural policies, and rural development strategies. He has published in journals like Journal of Urban Economics , China Economic Review , and Journal of Labor Economics . His recent studies analyze farmers’ behavioral responses to trade conflicts, intergenerational educational mobility in China, and the environmental implications of trade policies. Dr. Li has received the Bruce Gardner Memorial Prize for Applied Policy Analysis (2018) and led/co-led grants totaling over $500k. He advises doctoral and master’s students in economics and agribusiness, and teaches courses including Econometrics II and Urban Economic Development. His research often combines quantitative methods with policy analysis to address global agricultural and economic challenges, particularly in transnational contexts like U.S.-China relations.

M. Daniel Wongworawatمشاهده پروفایل

استاد

• Orthopedic Surgery
• Hand Surgery
• Musculoskeletal Infections
• +۵ مورد دیگر

M. Daniel Wongworawat, MD is a Professor of Orthopedic Surgery and serves as the Assistant Dean for Career Advisement at Loma Linda University School of Medicine. He is also the Head of the Hand Surgery Division within the Orthopedic Surgery department. His academic career has been dedicated to orthopedic surgery with a particular focus on hand surgery, musculoskeletal infections, and orthopedic education. Dr. Wongworawat received all his academic qualifications from Loma Linda University - a BA and BS in 1992, followed by his MD in 1996. His educational background provided the foundation for his specialization in orthopedic surgery with particular expertise in hand surgery and musculoskeletal infections. His research interests span multiple critical areas in orthopedics including surgical outcomes, health disparities, musculoskeletal infections, and orthopedic education. Wongworawat has been particularly active in examining how social vulnerability indexes relate to surgical care access, the impact of lifestyle factors on orthopedic outcomes, and innovations in orthopedic education and training methodologies. His work often bridges clinical practice with broader healthcare system issues, particularly regarding equity in surgical care. With over 122 publications spanning from 1994 to 2025, Wongworawat's scholarly output demonstrates consistent engagement with evolving topics in orthopedics. His recent work shows increasing focus on health disparities, the application of new technologies in orthopedics, surgical education innovations, and the social determinants of orthopedic outcomes. The breadth of his publications - including articles, editorials, book chapters, and reviews - reflects his comprehensive approach to advancing the field through multiple channels of scholarly communication. Educator of the Year - Awarded by the graduating orthopaedic residents, LLU (2007) Dr. Wongworawat's editorial leadership is evident through his extensive involvement with Clinical Orthopaedics and Related Research (CORR), where he has served as an editor for numerous publications. His activities include membership on the LLU SM Administrative Dean's Council and various committees related to student affairs and academic development. His research projects have focused on areas such as percutaneous trigger finger release safety and distal radius fracture fixation stability. As Head of the Hand Surgery Division, he oversees clinical and educational programs in this specialty area. His leadership roles as Assistant Dean for Career Advisement and division head demonstrate his commitment to both educational excellence and clinical innovation within the orthopedic field.