جست‌وجوی استاد و پژوهشگر

Minyi Huangمشاهده پروفایل

استاد

• Mean Field Stochastic Control
• Stochastic Algorithms in Multi-Agent Systems
• Wireless Networks
• +۴ مورد دیگر

Minyi Huang is a Professor in the School of Mathematics and Statistics at Carleton University. His research focuses on Mean Field Stochastic Control, Stochastic Algorithms in Multi-Agent Systems, and Wireless Networks. He holds a Ph.D. from McGill University (2003) and has held postdoctoral positions at the University of Melbourne and the Australian National University. Dr. Huang is a Fellow of IEEE and a Member of SIAM. Education: Ph.D. in Electrical and Computer Engineering, McGill University (2003) M.Sc. in Systems and Control, Chinese Academy of Sciences (Beijing) B.Sc. in Mathematics, Shandong University (Jinan, China) Research Interests: Huang's work centers on stochastic control, mean field games, and multi-agent systems. His contributions include theoretical advancements in mean field social optimization, graphon-based control frameworks, and applications in wireless networks and economic models. He has organized workshops on Mathematical Cybernetics and Stochastic Processes, fostering interdisciplinary collaboration. Scientific Awards: Fellow of the IEEE Advising & Grants: Huang has advised numerous graduate students on topics in stochastic control and mean field theory. His grants include funding for international PhD students through Carleton's initiatives. He collaborates on projects involving mean field models for production output and social dynamics. Labs/Teams: Associated with the Ottawa-Carleton Institute for Mathematics and Statistics (OCIMS), contributing to collaborative research in control theory and applied mathematics.

Paul G Dupuisمشاهده پروفایل

استاد

• Probability Theory
• Stochastic Processes
• Control Theory
• +۴ مورد دیگر

Paul G Dupuis is the IBM Professor of Applied Mathematics at Brown University. His research focuses on applications of probability theory, stochastic processes, control theory, and numerical methods. He holds affiliations with the American Mathematical Society, Society for Industrial and Applied Mathematics (SIAM), and the Institute for Mathematical Statistics (IMS). His work emphasizes large deviation theory, Markov chain approximations, Monte Carlo simulation, and partial differential equations. Education: Ph.D. in Applied Mathematics from Brown University (1985), M.S. from Northwestern University (1982), and B.S. from Brown University (1981). Research Interests: Control of deterministic and stochastic processes, differential games, numerical methods, operations research, and stochastic processes. His contributions include foundational work on large deviation theory, risk-sensitive control, and queueing networks. Awards: Elected SIAM Fellow (2010), Fellow of the Institute for Mathematical Statistics (2011), IBM Professor of Applied Mathematics (2012), and AMS Fellow (2014). Previously held an NSF Postdoctoral Fellowship (1985-1988). Grants: Current funding from the Army Research Office and National Science Foundation. Key collaborations include work on stochastic approximation, constrained diffusions, and reflected Brownian motion. Teaching: Courses include Operations Research: Probabilistic Models, Information Theory, and Advanced topics in Probability and Stochastic Control.

Ka I Ipمشاهده پروفایل

استادیار

• Developmental neuroscience
• Emotion regulation
• Cross-cultural psychology
• +۸ مورد دیگر

Ka I Ip is an Assistant Professor at the Institute of Child Development , University of Minnesota. As director of the D.A.N.C.E. Lab , Dr. Ip employs multimodal methods including neuroimaging, cortisol assays, and cross-cultural experiments to study emotion regulation and developmental psychopathology. PhD in Developmental Psychology (University of Michigan) Susan Nolen-Hoeksema Postdoctoral Fellow (Yale University) Research focuses on how cultural contexts and early adversity shape emotional development, with particular attention to racial-ethnic minorities and immigrant families . His work applies findings to social policy reform and health equity initiatives. Recent publications analyze neighborhood socioeconomic impacts on brain development , discrimination effects in bilingual adolescents , and cortisol dynamics in immigrant families . Key journals include Biological Psychiatry and Developmental Psychology . APA Editor’s Choice Article (2024) Yale Health Equity Research Finalist (2022) Accepting PhD students for Fall 2026. Collaborates with teams in neuroimaging , cross-cultural research , and pediatric biomarker studies .

• Climate Change and Health
• Environmental Epidemiology
• Public Health Policy
• +۵ مورد دیگر

Professor Hilary Bambrick is a distinguished environmental epidemiologist and anthropologist at the Australian National University (ANU), leading the National Centre for Epidemiology and Population Health. She specializes in climate change and health, focusing on adaptation strategies, vector-borne diseases, and urban resilience. Her work bridges research, policy, and practice, with significant contributions to global health initiatives like the WHO and UNDP. Bambrick has over 180 publications and $11M in research funding, addressing climate impacts on vulnerable populations, including First Nations communities and Pacific Island nations. She serves on the Climate Council of Australia and the Australia Institute, advocating for evidence-based climate policies. Her research integrates epidemiology, anthropology, and environmental science to enhance health resilience in changing climates. Education: PhD (ANU, 2003), BA (Hons), BSc, Grad Cert Higher Ed. Key Research Focus: Climate change health impacts, adaptation strategies, vector-borne diseases, urban design, and health equity. She leads interdisciplinary projects on climate litigation, heatwaves, and infectious disease forecasting. Grants & Funding: Over $11 million in research grants, including projects on bushfire preparedness, dengue transmission modeling, and climate-sensitive disease surveillance. Labs/Teams: National Centre for Epidemiology and Population Health (ANU), collaborating with global networks like the Lancet Countdown and MJA-Lancet Countdown.

Asuman Ozdaglarمشاهده پروفایل

استاد

• Optimization
• Machine Learning
• Game Theory
• +۷ مورد دیگر

Asuman Ozdaglar is the MathWorks Professor of Electrical Engineering and Computer Science and Department Head of EECS at MIT. She also serves as Deputy Dean of Academics for the MIT Stephen A. Schwarzman College of Computing. Her research focuses on large-scale networked systems, including optimization, game theory, social networks, and distributed algorithms. Education: BS in Electrical and Electronics Engineering from Middle East Technical University (1996), SM (1998) and PhD (2003) in Electrical Engineering and Computer Science from MIT. Research emphasizes nonlinear optimization, machine learning, and network economics. She leads work on robust algorithms, misinformation dynamics, and networked systems. Affiliated with the Laboratory for Information and Decision Systems (LIDS) and the Operations Research Center (ORC). Her contributions span theoretical and applied domains, including distributed optimization methods, social network analysis, and privacy-preserving data mechanisms. Active in shaping academic policy through her roles in the College of Computing.

Saman Razaviمشاهده پروفایل

دانشیار

• Hydrology
• Water Resources Management
• Climate Change Impact Analysis
• +۳ مورد دیگر

Dr. Saman Razavi is an Associate Professor at the University of Saskatchewan, holding dual appointments in the School of Environment and Sustainability (SENS) and the Department of Civil, Geological and Environmental Engineering in the College of Engineering. He is a member of the Global Institute for Water Security and leads the Razavi EnviroFutures Lab. His research focuses on hydrological modeling, water resources management, climate change impacts, and the integration of machine learning with environmental science. Dr. Razavi has earned a PhD in Civil and Environmental Engineering from the University of Waterloo. Education: PhD in Civil and Environmental Engineering, University of Waterloo MS in Civil and Environmental Engineering, Amirkabir University, Iran BS in Civil Engineering, Iran University of Science and Technology Research interests include hydrologic model development, optimization, uncertainty quantification, climate change analysis, and socio-hydrological modeling. He emphasizes interdisciplinary approaches to address water challenges through integrated frameworks that bridge natural science, engineering, and socio-economic factors. Award: Walter L. Huber Civil Engineering Research Prize from ASCE (2024) Advising & Grants: Dr. Razavi leads the Integrated Modelling Program for Canada under Global Water Futures, focusing on transboundary water systems. His work involves developing decision-support tools for flood/drought management and climate adaptation. Labs/Teams: The Razavi EnviroFutures Lab advances research on water-human systems, leveraging AI and big data to enhance resilience against water-related hazards. Current projects include flood-prone area mapping, drought prediction, and socio-hydrological modeling in transboundary basins.

Ben Halpernمشاهده پروفایل

استاد

• Marine Ecology
• Conservation Planning
• Climate Change Impacts
• +۳ مورد دیگر

Ben Halpern is a Professor at the Bren School of Environmental Science & Management and Director of the National Center for Ecological Analysis and Synthesis (NCEAS) at UC Santa Barbara. He holds a PhD in Ecology from UCSB and a BA in Biology from Carleton College. His research focuses on marine ecology and conservation planning, with expertise in cumulative impact assessments, marine reserves, and the Ocean Health Index. He has led global projects on ocean health, biodiversity threats, and sustainable aquaculture, collaborating with institutions worldwide. Notable roles include co-founding the Conservation Aquaculture Research Team (CART) and serving as a part-time Chair in Marine Conservation at Imperial College London (2013–2018). Research interests span marine biodiversity conservation, climate change impacts on ecosystems, and the integration of ecological and social data into policy. His work emphasizes interdisciplinary approaches to address environmental challenges, such as mapping wastewater impacts, evaluating aquaculture sustainability, and developing tools for marine spatial planning. Awards include the Smith Fellowship Program (sponsored by The Nature Conservancy) during his postdoctoral work. He teaches Bren School courses, mentors graduate students, and leads collaborative research teams. Current projects include analyzing climate change effects on aquaculture and advancing the Ocean Health Index framework to support global conservation efforts.

Calin Beltaمشاهده پروفایل

استاد

• Control Theory
• Formal Verification
• Hybrid Systems
• +۳ مورد دیگر

Calin Belta is a Professor in the College of Engineering at Boston University , with joint appointments in Mechanical Engineering, Systems Engineering, and Electrical and Computer Engineering. His research bridges control theory and formal methods, focusing on controller synthesis and automatic verification of hybrid systems with applications in robotics and systems biology . Education: Ph.D. in Control Theory, University of Pennsylvania His work emphasizes temporal logic specifications for ensuring safety and correctness in autonomous systems, particularly through control barrier functions (CBFs) , reinforcement learning , and model predictive control . Applications span from microrobotics to autonomous driving and biomolecular modeling . His recent articles (2025–2024) highlight advancements in safe control algorithms for autonomous vehicles, adaptive CBFs , temporal logic-guided learning , and microrobotics for cell manipulation. Common themes include formal verification , robustness , and human-in-the-loop safety . Scientific Awards: AFOSR Young Investigator Award (2008) NSF CAREER Award (2005) He also contributes to academia as a Senior Member of IEEE and Associate Editor for journals like SIAM Journal on Control and Optimization and IEEE Transactions on Automatic Control . His lab develops computational tools for safety-critical control in complex environments.

Jennifer Dyمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Explainable AI
• +۲ مورد دیگر

Jennifer Dy is a Distinguished Professor at Northeastern University with joint appointments in Electrical and Computer Engineering and Khoury College of Computer Sciences. As Director of AI Faculty at the Institute for Experiential AI, she leads research in machine learning, computer vision, and explainable AI. Her work spans biomedical applications (COPD phenotyping, neuroimaging) and fundamental algorithms (active learning, continual learning). She holds a PhD from Purdue University and is an AAAI Fellow. Research Focus: Dy develops methodologies for robust and interpretable machine learning, including techniques for model stability in continual learning, dependency-aware active learning, and axiomatic explanation frameworks. Her applied research advances diagnostic tools using Raman spectroscopy, CT imaging, and multi-omics biomarker discovery. Awards: Recognized with the NSF CAREER Award, Faculty Research Team Award, and AAAI Fellowship for contributions to unsupervised learning and medical AI. Publication Trends: Recent articles demonstrate strong cross-disciplinary integration, combining theoretical advances in explainability/robustness with applications in healthcare, wireless systems, and particle physics. Methodological themes include optimal transport theory, probabilistic modeling, and transformer architectures.

Virend Somersمشاهده پروفایل

استاد

• Cardiovascular Medicine
• Sleep Apnea
• Neurocirculatory Control
• +۹ مورد دیگر

Virend Somers, M.D., Ph.D. , is a Professor of Medicine at Mayo Clinic in Rochester, Minnesota, with primary appointments in the Department of Cardiovascular Medicine, and joint appointments in Physiology & Biomedical Engineering and Nephrology & Hypertension. He directs the Cardiovascular and Sleep Facilities within Mayo Clinic's Center for Clinical and Translational Science. Education: MB ChB, University of Natal D.Phil., University of Oxford Resident, Internal Medicine, University of Iowa Fellow, Cardiovascular Diseases, University of Iowa Hospitals and Clinics Research Interests: Dr. Somers' research centers on neural and vascular mechanisms in circulatory control, particularly in sleep disorders such as obstructive and central sleep apnea, hypertension, obesity, and heart failure. His team investigates autonomic nervous system regulation, chemoreflex responses, and vascular biology in humans. His work bridges basic physiology with clinical applications to improve cardiovascular outcomes. Publication Trends: His recent publications (2021–2025) show a strong emphasis on sleep-cardiovascular interactions, including blood pressure regulation during sleep, cardiovascular mortality in the context of comorbidities like obesity and COVID-19, and neurocardiological mechanisms in arrhythmias and syncope. His work frequently appears in high-impact journals such as Sleep , Journal of the American Heart Association , and Journal of Physiology . Scientific Awards: Alice Sheets Marriott Professor (2016) CTSA Mentor of the Year (2012) Distinguished Scientist in Cardiopulmonary Physiology, American College of Chest Physicians (2017) Stanford University World's Top 2% Scientists (2021) Lifetime Achievement Award, South African Society of Sleep Medicine (2012) Doctor Honoris Causa, Masaryk University (2007) Advising and Grants: Dr. Somers has mentored numerous trainees who have won national awards. His research is supported by four NIH R01 grants, a Dana Foundation grant, and a NATO grant. His leadership in collaborative research spans institutions in the U.S., Europe, and South Africa. Labs and Teams: He leads the Cardiovascular Facility and Sleep Facility at Mayo Clinic’s Center for Clinical and Translational Science, fostering interdisciplinary research on sleep and cardiovascular disease.

Christiane Barzمشاهده پروفایل

استاد

• Operations Research
• Revenue Management
• Stochastic Dynamic Optimization
• +۳ مورد دیگر

Christiane Barz is a Professor of Mathematics at the University of Zurich's Institute for Business Administration since 2016. Previously, she held academic roles at the UCLA Anderson School of Management, the Chicago Booth School of Business, and the Technical University (TU) Berlin. Her research focuses on stochastic dynamic systems, Markov decision processes, and their applications in revenue management. She emphasizes making mathematical tools accessible and practical for real-world problem-solving, particularly in optimizing decision-making under uncertainty. Education includes a degree in industrial engineering and a doctorate from the University of Karlsruhe (TH), Germany. Her career path includes postdoctoral research at the University of Chicago's Booth School of Business and roles as an Assistant Professor at UCLA. She combines academic excellence with balancing family life, advocating for gender equity in STEM fields. Her research explores risk-sensitive decision-making frameworks, dynamic pricing models for transportation and healthcare, and optimizing resource allocation in complex systems. Recent work includes applications in FlixBus, air cargo networks, and improving patient admission scheduling in hospitals. Barz's teaching philosophy prioritizes demystifying mathematics for students, encouraging critical engagement rather than fear of complexity. She collaborates with industry partners to apply operations research methods to real-world challenges, emphasizing both theoretical rigor and practical relevance.

Farzan Banihashemiمشاهده پروفایل

پژوهشگر ارشد

• Urban Building Energy Modeling
• Building Energy Simulation
• Machine Learning and Deep Learning
• +۱ مورد دیگر

Farzan Banihashemi serves as a Research Fellow at the Chair of Energy Efficient and Sustainable Design and Building at the Technical University of Munich (TUM), maintaining this affiliation since 2019 while concurrently working as a Data Scientist at Climateflux GmbH since 2023. His work bridges sustainable building design and data science, focusing on computational approaches for urban energy systems. His academic credentials include: Master in Management from TUM School of Management (2019) Master in Energy Efficient and Sustainable Building from TUM (2017) His research centers on data-driven urban building energy modeling (UBEM) , building energy simulation , and machine learning applications for occupant behavior analysis . He develops non-intrusive sensing methodologies to model window operations and occupancy patterns using environmental data streams, with significant contributions to CO2-based occupancy detection systems and predictive modeling for office environments. His work integrates climate change considerations into early-stage building design processes. Analysis of his 2022-2024 publications reveals a concentrated research trajectory applying artificial intelligence to building energy challenges. Over 60% of his recent work addresses occupant behavior modeling—particularly window operations and space occupancy—using explainable AI techniques. His publications also demonstrate growing engagement with urban-scale applications, including urban heat island mitigation and vertical densification strategies, often incorporating life cycle assessment frameworks. No scientific awards were documented in the source materials. While specific advising activities aren't detailed, his collaborative publication pattern (average 4.3 co-authors per paper) indicates active participation in research teams. Grant involvement is implied through project affiliations though specific funding mechanisms aren't specified. He operates within TUM's Chair of Energy Efficient and Sustainable Design and Building, contributing to major initiatives including Building Climate–Municipal (BauKlima-Kommunal), CircularFTmehrRAUM, CircularGreenSimCity, and the NAWAREUM project. These efforts focus on sustainable urban development, climate adaptation strategies, and circular economy implementation in the built environment, particularly examining urban densification under climate change scenarios.

• Health Systems Research
• Health Services Research
• Health Economics
• +۴ مورد دیگر

Prof. Alexander Geissler holds the position of Full Professor of Health Care Management at the School of Medicine (Med-HSG) within the University of St. Gallen. His research focuses on health systems research, health economics, and health policy, with particular emphasis on digital transformation in healthcare and patient-reported outcomes. He has contributed extensively to studies on healthcare quality improvement, public reporting systems, and the integration of artificial intelligence in medical diagnostics and screening programs. His work spans topics like optimizing hospital digital maturity (e.g., German DigitalRadar project), analyzing surgical outcomes (robotic vs. open prostatectomies), and evaluating patient empowerment through quality information. He has pioneered methodologies for interpreting patient-reported outcomes (e.g., EQ-5D-3L) and designing clinical dashboards to enhance care delivery. Recent research highlights include investigating AI applications in breast cancer screening and cost-effectiveness of remote patient monitoring post-joint replacement surgery. Geissler’s publications demonstrate a strong focus on healthcare policy implications, such as hospital capacity planning, payment systems for specialized care, and cross-country comparisons of healthcare transparency initiatives. His work frequently bridges academic rigor with practical policy recommendations, particularly in Switzerland and Germany. Notably, he has addressed low-value care reduction, price sensitivity in healthcare demand, and the socio-demographic factors influencing healthcare utilization. While no specific awards are listed, his prolific research output reflects sustained leadership in health systems analysis. His academic contributions are disseminated through the Alexandria Research Platform and international peer-reviewed journals.

Betsy Foxmanمشاهده پروفایل

استاد

• Infectious Disease Epidemiology
• Human Microbiome Research
• Antibiotic Resistance
• +۵ مورد دیگر

Betsy Foxman serves as the Hunein F. and Hilda Maassab Professor of Epidemiology at the University of Michigan School of Public Health. She directs three major initiatives: the Center for Molecular and Clinical Epidemiology of Infectious Diseases, the Integrated Training in Microbial Systems program, and the Certificate in Healthcare Infection Prevention & Control. Her academic leadership spans decades with continuous research contributions. Dr. Foxman earned her PhD and MSPH from UCLA (1983, 1980) and BS from UC Berkeley (1977). Her research centers on infectious disease transmission, microbiome ecology, antibiotic resistance, and wastewater surveillance . Key projects include analyzing the oral microbiome in dental caries using genomic methods, studying nose/throat microbiome associations with respiratory infections in nursing facilities, and developing wastewater monitoring for antibiotic-resistant pathogens. Her work integrates next-generation sequencing with epidemiological analysis to identify novel interventions. Publication trends reveal consistent focus on microbiome-pathogen interactions across multiple body sites (oral, vaginal, gut, respiratory). Recent articles demonstrate methodological innovation in wastewater epidemiology (2024 Norovirus GII monitoring) and clinical applications like predicting vancomycin-resistant enterococci contamination (2023 Lancet study). Her research bridges molecular microbiology with population health, emphasizing translational potential for diagnostics and public health interventions. Fellow of the Infectious Disease Society of America Fellow of the American College of Epidemiology Fellow of the American Academy of Microbiology Dr. Foxman's advising portfolio includes numerous NIH-funded projects on microbiome dynamics and infection control. Her leadership in the Center for Molecular and Clinical Epidemiology drives collaborative research across departments. Current initiatives focus on wastewater surveillance standardization and microbiome-based diagnostics for infection prevention. She maintains active laboratories for genomic analysis of microbial communities and clinical sample processing.

• Project Management
• Operations Management
• Retail Logistics
• +۳ مورد دیگر

Goran Avlijaš is a researcher affiliated with Singidunum University in Belgrade, specializing in project management, operations research, and retail logistics. He holds a Doctorate in Engineering Management (2011–2016) from Singidunum University, a Master’s in Project Management (2008–2009) from the Faculty of Organizational Sciences, and a Bachelor’s in Management (2003–2007) from the same institution. His research focuses on optimizing project schedules through methods like Earned Value Management and Monte Carlo Simulation, analyzing supply chain efficiency, and exploring gig economy impacts on well-being in Balkan countries. Key research areas include: Project Management Innovation: Developing risk analysis tools (e.g., Event Chain Methodology) and applying earned value metrics to construction projects. Retail Operations: Investigating automated replenishment systems and inventory management challenges in retail environments. Social-Economic Dynamics: Studying gig economy effects on workforce well-being and regulatory impacts on entrepreneurship. His work spans 30+ peer-reviewed articles and conference papers, including contributions to Management , Sustainability , and Frontiers in Psychology . He co-authored textbooks like Project Management and Entrepreneurship for Singidunum University’s curriculum. Active in academic events such as Sinteza and FINIZ conferences, he bridges theoretical research with practical industry applications.