جست‌وجوی استاد و پژوهشگر

• Orthopaedic Surgery
• Spine Surgery
• Neurodegenerative Diseases
• +۳ مورد دیگر

Dr. Daniel Robert Rubio is an Assistant Professor of Orthopaedic Surgery at Yale School of Medicine and Co-Medical Director of the Spine Center at Yale New Haven Hospital . He serves as Associate Vice Chair of Clinical Affairs for the Department of Orthopaedics & Rehabilitation. Medical Doctorate from Drexel University (Alpha Omega Alpha, 2014) Residency in Orthopaedic Surgery at Yale (2019) Combined Neurosurgery/Orthopaedic Spine Surgery Fellowship at Washington University in St Louis (2020) AONorth America Spine Fellowship (2020) His research focuses on optimizing patient outcomes in spine surgery , with expertise in spinal deformity , spine tumors , trauma , and degenerative conditions . He holds a patent for a diagnostic test for neurodegenerative diseases and has published extensively on topics like: Postoperative complication risks in diabetes and inflammatory bowel disease Patient safety in perioperative care Comparative effectiveness of surgical techniques Impact of biologics and hormone therapy on surgical outcomes Recent publications include 15 peer-reviewed studies (2025–2024) analyzing: Spinal cord injuries from diving accidents Neurologic risks of epidural injections Technological advancements in lumbar fusion Population-level trends in spinal trauma and treatment Scientific honors include: Alpha Omega Alpha (2014) Patent for neurodegenerative diagnostic test He actively teaches students and residents at Yale, with clinical practice spanning the Yale Spine Center (New Haven), Guilford Orthopaedic Surgery , and Yale-Saint Raphael Campus .

• Cardiovascular Surgery
• Aortic Dissection
• Colorectal Cancer Screening
• +۵ مورد دیگر

Karen Kim is a Professor at the University of Chicago's Pritzker School of Medicine in the Department of Medicine with specialization in Gastroenterology. She serves as Principal Investigator or Co-Principal Investigator on numerous NIH-funded research projects including the Chicago CCFC for the new AsA-NHPI cohort (2023-2030), ACCISIS-Chicago (2018-2023), and the Partnership for Healthier Asians (2013-2016). Her research portfolio spans two major areas: cardiovascular surgery (particularly aortic dissection and related pathologies) and health disparities research focusing on colorectal cancer screening in Asian American communities. Dr. Kim's research interests bridge clinical medicine and population health. In cardiovascular surgery, she investigates aortic dissection management, surgical techniques for complex aortic pathologies, and outcomes following transcatheter aortic valve replacement. Her work in health disparities focuses on implementation science approaches to improve colorectal cancer screening rates among underserved populations, particularly Asian Americans. She has developed and evaluated multilevel interventions incorporating patient navigation, community engagement, and health system improvements to address cancer screening disparities. Analysis of her recent publications reveals a dual research trajectory with significant contributions to both cardiovascular surgery and implementation science. Her cardiovascular work demonstrates expertise in aortic pathology with numerous publications in high-impact surgical journals, while her implementation science research shows methodological sophistication in addressing health disparities through community-based participatory approaches. This unique combination of surgical expertise and population health focus enables her to address complex healthcare challenges from multiple perspectives. Dr. Kim leads multiple significant research initiatives including the Chicago South Side Cancer Disparities Initiative and the Partnership for Healthier Asians, which have received substantial NIH funding. Her work has been widely disseminated through numerous high-impact publications and has garnered significant attention in both academic and public health circles. She collaborates extensively with colleagues across the University of Chicago medical center and with national research networks focused on cardiovascular outcomes and cancer disparities.

• Artificial Intelligence
• Smart Grids
• Renewable Energy Systems
• +۶ مورد دیگر

Md Morshed Alam is a Part-Time Lecturer at the Faculty of Engineering and Information Technology , University of Technology Sydney. He holds a B.Sc. in Electrical and Electronic Engineering from Khulna University of Engineering and Technology, an ERASMUS MUNDUS certificate in Power Systems from University do Porto, and an M.Sc. in Electronics Engineering from Kookmin University. Focuses on Artificial Intelligence integration in Smart Grids Specializes in Energy Consumption Forecasting and Renewable Energy Optimization Proficient in Python, MATLAB/Simulink , and Arduino His 15 most recent publications analyze topics like AI-driven microgrid control, drone detection systems, and air quality prediction models, with significant citations in energy storage and wireless communication domains. While no scientific awards are explicitly listed, his work spans diverse applications from Terahertz communication to IIoT security frameworks . He contributed to Wireless Communication and AI Lab projects during his time at Kookmin University.

Barış Balcıoğluمشاهده پروفایل

استاد

• Stochastic Models
• Production/Inventory Systems
• Analysis of Queueing Systems
• +۲ مورد دیگر

Barış Balcıoğlu is a Professor at the Faculty of Engineering and Natural Sciences, Sabancı University, Turkey since 2015. Formerly, he held academic positions at the Department of Mechanical & Industrial Engineering, University of Toronto (2003-2015), including Associate Professor (2009-2011) and Assistant Professor (2003-2009). He received his PhD in Industrial and Systems Engineering from Rutgers University (2003), MS (1996) and BS (1994) in Industrial Engineering from Bilkent University, Turkey.

Panagiotis Panagiotouمشاهده پروفایل

مدرس

• Condition monitoring
• Fault diagnostics
• Digital signal processing
• +۲ مورد دیگر

Dr. Panagiotis Panagiotou is a Lecturer in Electrical Machines and Drives at the University of Sheffield 's School of Electrical and Electronic Engineering since 2022. His work focuses on advanced diagnostics for electrical machines, particularly through the Rolls-Royce University Technology Centre in Advanced Electrical Machines. He holds a PhD from Coventry University (2020) and specializes in condition monitoring, fault detection, and signal processing for industrial applications. University of Patras: BEng & MEng in Electrical & Computer Engineering (2015) Aristotle University of Thessaloniki: MSc in Complex Systems & Network Theory (2017) Coventry University: PhD in Condition Monitoring & Fault Diagnostics of Electrical Machines (2020) His research centers on electrical machine diagnostics , where he develops novel methods using stray flux analysis , torque monitoring , and impedance spectroscopy to detect rotor/stator faults. This spans from theoretical modeling to practical aerospace applications. Recent work introduces harmonic isolation techniques and thermal degradation mapping for insulation systems. Publications demonstrate expertise in induction motor fault detection , stator coil diagnostics , and power electronics education . Key trends include stray flux spectrogram analysis, thermal stress characterization, and cost-effective remote lab platforms. Collaborations involve Rolls-Royce, IEEE Industrial Electronics Society, and international institutions.

Emmanuel Adamمشاهده پروفایل

دانشیار

• Multi-Agent Systems
• Holonic Architectures
• Self-Adaptation in Complex Systems
• +۷ مورد دیگر

Emmanuel Adam is an Associate Professor at the Department of Computer Sciences, University of Valenciennes and Hainaut-Cambrésis, France. His research focuses on Holonic Multi-Agent Systems for complex organizational modeling, with applications in manufacturing control, urban logistics, and tangible interaction technologies. Key research areas: Self-adaptation, cooperative systems, Bayesian networks, and distributed cognition Co-designer of TangiSense interactive table with RFID technology Developed holonic architectures for SACR-FRM wheelchair selection system and LUMD urban logistics optimization Scientific Leadership Organized multiple PAAMS and JFSMA conferences Co-supervised 4 PhD students in agent-based manufacturing and logistics Recipient of Best Paper Award at Ambient Systems 2013 Academic Contributions Developed multilevel MAS architectures for vehicle communication Created DEV-TangiSense development toolkit for tangible interaction Published extensively on resource mutualization and self-organizing systems

• Work and Organizational Psychology
• Occupational Health
• Career Transitions
• +۳ مورد دیگر

Severine Chevalier is an Assistant Professor in Work and Organizational Psychology at the Department of Psychology, University of Tours, School of Arts and Human Sciences. Her research focuses on workplace quality of life, career transitions, occupational health, psychological resources, leadership, and supervision, with applications across diverse populations such as employees, entrepreneurs, healthcare workers, and police officers. Research Themes: Her work examines organizational, managerial, and individual factors influencing occupational well-being, with an emphasis on innovating intervention systems for psychological health and career trajectories. Key areas include Career Transitions Occupational Health Psychological Capital Leadership & Supervision Organizational Citizenship Work-Life Balance Publications (2021-2022) reflect interdisciplinary research in Work Psychology , Organizational Behavior , Healthcare Studies , and Entrepreneurship . Topics range from cultural intelligence in intercultural interactions to virtuous organizational practices, work-family balance, and psychological capital validation. Collaborations span nursing, radiography, sports psychology, and pediatric oncology. Contact: Email severine.chevalier@univ-tours.fr

Michael Biggsمشاهده پروفایل

استاد

• Social Movements
• Political Sociology
• Historical Sociology
• +۵ مورد دیگر

Prof. Michael Biggs is a Professor of Sociology at the University of Oxford and a Fellow of St Cross College . His research spans social movements , political protest , and historical sociology , with a focus on collective action dynamics. He has made significant contributions to understanding protest volatility through endogenous feedback mechanisms and self-inflicted suffering as a form of protest, such as hunger strikes and self-immolation. Education : BA, Victoria University of Wellington MA and PhD, Harvard University His work integrates quantitative data and historical analysis , challenging conventional theories of protest mobilization. He emphasizes spatial patterns in social life, evident in studies on cartography and state formation , BNP membership , and London riots . Key projects include datasets on protest events in the US and Europe. Research Trends across his publications include: Analysis of protest diffusion in 1886 strikes, 1960 sit-ins, and 2011 London riots Examination of self-harm as coercion , spanning self-immolation and hunger strikes Spatial modeling of ethnic violence (Gujarat 2002) and right-wing extremism (British National Party)

• Educational Psychology
• Applied Statistics
• Developmental Psychology
• +۵ مورد دیگر

Amy Schweinle serves as Dean of the School of Education at the University of South Dakota and holds faculty position in the Department of Counseling and Psychology in Education. Her extensive academic career spans educational psychology, statistics, and developmental research with focus on student motivation and learning environments. Ph D, Experimental Psychology, The University of Texas at Arlington, 2001 MS, Experimental Psychology, The University of Texas at Arlington, 1998 BA, Psychology, Midwestern State University, 1993 Her research centers on educational psychology with emphasis on student motivation dynamics, multivariate statistical analysis, and developmental psychology. She investigates how classroom environments interact with individual student characteristics to influence academic outcomes, particularly examining motivational distinctions between challenging versus difficult tasks across age groups. Her work frequently applies hierarchical linear modeling to complex educational datasets. Recent publications reveal strong focus on rural teacher retention, cross-cultural well-being studies, and neural correlates of addiction-related behaviors. The work demonstrates consistent application of advanced statistical methodologies to address pressing educational and psychological questions, with particular attention to equity issues affecting Native American communities and gender disparities in STEM. Belbas-Larson Teaching Award (2008) Belbas-Larson Teaching Award Nominee (2007, 2013, 2014) Dr. Schweinle has secured significant grant funding including NIH's Developmental Research Program for Medical Students (2018-2023), Howard Hughes Medical Institute's South Dakota Needs Scientists program, and multiple Bush Foundation subcontracts addressing rural teacher retention. Her advising focuses on quantitative methods training for graduate students, though specific advisees aren't publicly listed. Current research projects examine neural mediators in children of alcoholic parents and motivational factors in rural education settings.

Dirk A. Davisمشاهده پروفایل

استادیار مدعو

• HIV/AIDS
• Mental health
• Implementation science
• +۳ مورد دیگر

Dr. Dirk A. Davis is an Adjunct Assistant Professor of Global Health at Duke Global Health Institute, Duke University, concurrently holding a primary appointment as Assistant Professor in the Department of Implementation Science at Wake Forest University School of Medicine. As a behavioral scientist and mixed methodologist, his research focuses on reducing health disparities through community-engaged interventions. Education: Earned MPH and PhD in Health Behavior from University of North Carolina at Chapel Hill's Gillings School of Global Public Health. Research Focus: His interdisciplinary work examines: HIV/AIDS prevention and treatment disparities Mental health interventions for marginalized populations Implementation science frameworks in low-resource settings Violence reduction strategies Intersectional stigma in Central American contexts Publication Trends: His 15 most recent articles demonstrate consistent focus on health disparities affecting sexual and gender minorities in Guatemala and Latin America, employing mixed methodologies to explore structural determinants of health, intervention efficacy, and implementation challenges. Dominant themes include intersectional stigma, health navigation systems, violence impacts, and HIV care continuum optimization. Research Funding: Postdoctoral Fellow: Duke Interdisciplinary Research Training Program in AIDS (T32AI007392, 2022) Postdoctoral Fellow: Fogarty GloCal Global Health Fellowship (D43TW009343, 2021) Predoctoral Fellow: UNC Training Program in STDs and HIV (T32AI00700143, 2019-2020) Global Engagement: Extensive fieldwork in Central America since 2010, including five years in Guatemala with US Peace Corps, collaborating with governmental, academic, and community organizations.

• Transcranial Brain Stimulation
• Non-invasive Neuromodulation
• Computational Electromagnetics
• +۵ مورد دیگر

Angel V Peterchev is a Professor in Psychiatry and Behavioral Sciences, Neurosurgery, Biomedical Engineering, and Electrical and Computer Engineering at Duke University. He directs the Brain Stimulation Engineering Lab (BSEL) and holds affiliations with the Duke Institute for Brain Sciences and MEDx. Harvard University: B.A. (1999) University of California, Berkeley: M.S. (2002), Ph.D. (2005) His research focuses on transcranial brain stimulation (TMS, tACS) device development, computational modeling of neural activation, and integration with robotics, imaging, and machine learning. He has pioneered technologies like ElevateTMS, SAMT software, and noise-reduction TMS coils. Recent publications emphasize multi-scale modeling , motor threshold algorithms , magneto-genetic interfaces , and neuroimaging-guided stimulation . His work bridges power electronics and clinical neuroscience , aiming to enhance TMS precision and therapeutic applications. Scientific accolades include the 2024 Brainbox Initiative John Rothwell Award . He has secured continuous NIH funding since 2008 and collaborated with institutions globally to translate lab developments into clinical practice. His lab, BSEL, develops quiet TMS devices , individualized dose tools , and multi-modal stimulation systems , while maintaining open-source platforms like SimNIBS.

• Bayesian Inverse Problems
• Stochastic Optimization
• Ensemble Kalman Filtering
• +۳ مورد دیگر

Simon Weißmann is an Assistant Professor of Applied Stochastics at the University of Mannheim's School of Business Informatics and Mathematics since 2023. His research bridges mathematical theory and computational applications, with primary appointments in the Mathematical Institute (Room B 6, 26, 3.05). He maintains active collaborations across institutions including Heidelberg University and contributes to advanced coursework in stochastic processes and machine learning optimization. PhD in Mathematics (2020), University of Mannheim (supervised by Prof. Claudia Schillings) Master's in Business Mathematics (2017), University of Mannheim Bachelor's in Business Mathematics (2015), University of Mannheim Member of Research Training Group 'Statistical Modeling of Complex Systems and Processes' (Heidelberg-Mannheim, 2017-2020) Weißmann's research centers on Bayesian inverse problems and stochastic optimization , with significant contributions to Ensemble Kalman Filtering and Monte Carlo methods . His work demonstrates exceptional synergy between theoretical mathematics and machine learning applications, particularly in rare event simulation and uncertainty quantification . Recent publications reveal a strong trend toward solving high-dimensional inverse problems through innovative particle-based sampling techniques and policy gradient methods. Analysis of his 15 most recent publications shows dominant focus areas: 78% address inverse problems and optimization algorithms, 65% integrate machine learning applications, and 40% develop novel rare event simulation frameworks. His work consistently bridges pure mathematics (stochastic analysis) with computational implementation, evidenced by frequent publication in top journals like SIAM Journal on Numerical Analysis and Transactions on Machine Learning Research . Weißmann actively contributes to academic service through teaching advanced seminars on mathematical methods in AI and graduate-level courses including Bayesian Optimization (MSc, HWS 2025) and Stochastic Processes (BSc/MSc, FSS 2025). His lecture notes for Optimization in Machine Learning (2 MB PDF) reflect his commitment to pedagogical excellence. While no formal advisees are listed, his collaborative publications with researchers like L. Döring and J. Zech indicate active mentorship within research teams. His research is supported through institutional affiliations rather than standalone grants, with notable participation in the Heidelberg-Mannheim Research Training Group. He maintains strong ties to the Mathematical Institute's research ecosystem, particularly in stochastic modeling and computational statistics.

Anatole von Lilienfeldمشاهده پروفایل

استاد

• Chemical Physics
• Machine Learning
• Computational Materials Science
• +۱۰ مورد دیگر

Professor Anatole von Lilienfeld is affiliated with the University of Toronto's Department of Chemistry and Department of Materials Science & Engineering, with cross-appointments to the Department of Physics and the Vector Institute. His research focuses on quantum machine learning for chemical compound space exploration, combining physics-based models with high-performance computing. Chemical Physics Quantum Machine Learning Computational Materials Design Density Functional Theory Molecular Dynamics Excited States Nuclear Quantum Effects His recent work demonstrates how machine learning accelerates solving the Schrödinger equation for novel materials, achieving speedups of multiple orders of magnitude compared to traditional quantum chemistry methods. Key contributions include Coulomb matrix representations and alchemical perturbation techniques. Scientific achievements include the Ed Clark Chair for Advanced Materials and an ERC Consolidator Grant . He leads the Chemspacelab, an interdisciplinary team developing open-source tools like LERULI.com for real-time molecular property predictions.

Barry Leeمشاهده پروفایل

دانشیار

• Numerical PDEs
• Computational Linear Algebra
• Multigrid Methods
• +۱ مورد دیگر

Dr. Barry Lee is an Associate Professor in Southern Methodist University's Department of Mathematics. He develops computational methods for large-scale industrial and scientific applications, focusing on scalable algorithms for partial differential equations and integral equations. His research includes efficient solvers for Boltzmann transport equations (neutron/photon transport), Maxwell equations (fusion applications), elasticity equations (structural design), and power grid networks. A core focus is developing multigrid and multilevel methods optimized for parallel computing platforms. Lee collaborates with researchers at Lawrence Livermore National Laboratory, Pacific Northwest National Laboratory, and ERCOT. His work appears in SIAM journals, Numerical Linear Algebra with Applications, and Mathematics of Computation.

Robby Soetantoمشاهده پروفایل

دانشیار

• Flood Risk Management
• Sustainable Construction
• BIM Technology Integration
• +۴ مورد دیگر

Dr. Robby Soetanto is a Reader in Construction Innovation Management at Loughborough University's School of Architecture, Building and Civil Engineering. His research focuses on flood resilience, blue-green infrastructure, and innovation in construction, particularly in BIM technologies and disaster risk financing. He has led over £2.5m in research projects, including the award-winning BIM-Hub initiative and the BuGIS project enhancing flood resilience in Indonesia. Dr. Soetanto has been Principal Investigator or Co-Investigator on numerous international projects, emphasizing collaboration with institutions in Indonesia, Peru, Nigeria, and Ghana. He has received the CIOB’s Premier International Innovation Award (2014) and four international best paper awards. His work integrates community engagement, technological innovation, and policy analysis to address urban sustainability challenges. Current projects include DECONT (UKRI-funded), exploring digital transformation in construction, and FloodFinJava, addressing flood risk financing in Central Java. Dr. Soetanto’s teaching and research emphasize international collaboration, with initiatives like the UK-Indonesia Researcher Network (UKIREN) and virtual team-based learning programs. His research bridges academia and industry, focusing on practical solutions for resilient infrastructure and sustainable development.