جست‌وجوی استاد و پژوهشگر

Lorenzo Braccialeمشاهده پروفایل

استادیار

• Security & Privacy
• Distributed Systems
• eHealth
• +۷ مورد دیگر

Lorenzo Bracciale is an Assistant Professor in the Department of Electronic Engineering at the University of Rome "Tor Vergata". His academic journey began with a BSc in Telecommunication Engineering (2003), followed by an MEng (2006) and PhD (2010), all from the same institution. He has held significant research positions including Visiting Scholar at MIT's RLE (2011) and Trinity College Dublin (2015), and served as Unit Technical Coordinator for the H2020 EU project BPR4GDPR. PhD in Telecommunication Engineering and Microelectronics (2010) MEng in Telecommunication Engineering (2006) BSc in Telecommunication Engineering (2003) Bracciale's research spans security & privacy, distributed systems, and eHealth, with notable applications in wildlife conservation and medical technology. His work combines cryptographic techniques with machine learning to address challenges in digital health, IoT security, and blockchain applications. A distinctive aspect of his career is the Galápagos Pink Iguana conservation project, where he developed embedded systems for monitoring critically endangered species in remote environments. His publication record demonstrates a consistent focus on practical applications of theoretical concepts, with recent work emphasizing medical device security, blockchain privacy solutions, and IoT systems for both healthcare and wildlife conservation. The pattern shows increasing integration of machine learning with traditional security approaches, particularly in healthcare contexts. Bracciale actively contributes to the startup ecosystem through ventures like Sharigo (smart mobility solutions) and Anyway (medical practice management software). His speaking engagements cover critical topics at the intersection of AI, telemedicine, and digital healthcare infrastructure, reflecting his commitment to translating research into real-world impact. His laboratory work centers around developing secure, efficient systems for data collection and processing in constrained environments, with applications ranging from satellite communications to wildlife monitoring. Current projects include advanced cyber ranges for satellite security training and innovative approaches to medical data privacy.

• Physical Cosmology
• Theoretical Cosmology
• Cosmic Microwave Background (CMB) Anisotropies
• +۳ مورد دیگر

Professor Anthony David Challinor is a cosmologist and astrophysicist at the University of Cambridge , affiliated with the Department of Applied Mathematics and Theoretical Physics (DAMTP) under the Faculty of Mathematics . He serves as Professor of Cosmology and Astrophysics (2017-present) and Deputy Director of both the Institute of Astronomy and the Kavli Institute for Cosmology, Cambridge . His research focuses on testing cosmological models using observational data, particularly through the study of temperature anisotropies and polarization in the Cosmic Microwave Background (CMB). Key Research Areas : CMB anisotropies, gravitational lensing, B-mode polarization, cosmological parameter estimation, and gravitational waves from the early universe. Scientific Affiliations : Core Team member of the Planck High-Frequency Instrument , member of the Simons Observatory , and Fellow of Queens' College since 1998. His recent publications emphasize advancements in CMB data analysis, cosmological simulations, and instrumental sensitivity for space missions like LiteBIRD. He has contributed to major collaborations including the Atacama Cosmology Telescope and Planck 2018 results. Awards include Royal Society University Research Fellowship (2002-2007) and PPARC Postdoctoral Research Fellowship (2000-2002).

Marja Bakermansمشاهده پروفایل

استاد آموزشی

• Wildlife Ecology
• Conservation Biology
• Environmental Science
• +۷ مورد دیگر

Marja Bakermans is a Teaching Professor at Worcester Polytechnic Institute (WPI) , affiliated with the Biology & Biotechnology and Environmental & Sustainability Studies departments within The Global School . Her teaching focuses on fostering critical thinking and interdisciplinary collaboration through Open Educational Resources (OER), where students co-author texts like Extinction Stories and Climate Lessons . Research interests center on wildlife conservation, particularly the impact of human activities on species like migratory birds and bats, using technologies like telemetry to study habitat selection and migration patterns. Education: PhD in Biology, Ohio State University (2008) MS in Biology, Ohio State University (2003) BS in Biology, Bucknell University (1996) Research Highlights: Bakermans investigates anthropogenic disturbances (e.g., urbanization, forestry) on wildlife populations. Recent work includes tracking Eastern Whip-poor-wills and bat activity in managed pine barrens. She also explores gender and racial equity in open scientific annotations. Publications Trends: Recent articles emphasize telemetry-based wildlife studies, OER pedagogy, and conservation strategies for migratory species. Her work bridges ecological research with actionable education and policy. Awards & Recognition: No explicit awards listed, but her work has been featured in media like WGBH and the Vineyard Gazette for projects on disappearing whip-poor-wills and OER initiatives. Advising & Grants: While no specific grants are cited, her teaching and research involve student co-authors on multiple OER projects and ecological studies. Media partnerships highlight community engagement in conservation efforts. Labs/Teams: Collaborates with Mass Wildlife on avian telemetry projects and leads interdisciplinary teams developing OER materials.

Florian Richardمشاهده پروفایل

استادیار

• Econometrics
• Financial Econometrics
• Asset Valuation
• +۳ مورد دیگر

Florian Richard is an Assistant Professor at the Department of Finance, Insurance and Real Estate within the School of Administrative Sciences (FSA ULaval) at Université Laval. His research focuses on econometrics, financial econometrics, and asset pricing, emphasizing statistical testing methodologies and multivariate modeling. Education: Doctor of Philosophy (Ph.D.) in Economics, Carleton University Master of Arts (M.A.) in Economics, Carleton University Bachelor of Arts (B.A.) in Economics and Mathematics, York University Research Interests: Florian specializes in developing simulation-based econometric techniques for model selection and validation, particularly in non-nested multivariate models. His work addresses challenges in asset pricing factor models and confidence set constructions in complex systems. Recent presentations include contributions on multiple testing frameworks at the Canadian Economics Association and Société canadienne de science économique conferences. Presentations: 19th International Conference on Computational and Financial Econometrics (2025, upcoming) 63rd Annual Meeting of the Société canadienne de science économique (2024) 57th Annual Conference of the Canadian Economics Association (2023) Working Papers: Ongoing research includes collaborations with Lynda Khalaf on model confidence sets and simulation-based testing methodologies.

Vincent Huiمشاهده پروفایل

استاد

• Design Communication
• Design Fabrication
• Architectural Pedagogy
• +۶ مورد دیگر

Professor Vincent Hui holds the position of Professor and Associate Chair (Experiential Learning and Co-operative Education) in the Department of Architectural Science at Toronto Metropolitan University. He teaches courses including ASC 101, ASC 201, ASC 755, and AR8103. His research focuses on integrating advanced technology into architectural education and practice, emphasizing design communication, digital fabrication, and architectural simulation. Education: BES (University of Waterloo) MArch (University of Waterloo) MBA (York University) Certificate in University Teaching (University of Waterloo) His work bridges architecture with emerging technologies like augmented reality and apps, reflected in projects such as In Full Bloom (Bata Shoe Museum, 2017) and Nest (Winter Station, 2018). He is recognized for innovative pedagogy and fostering student success through experiential learning programs. Professor Hui actively engages in professional activities and maintains social media presence (Twitter/Instagram).

Chanda Prescod-Weinsteinمشاهده پروفایل

دانشیار

• Astrophysics
• Theoretical Physics
• Dark Matter
• +۳ مورد دیگر

Chanda Prescod-Weinstein is an Associate Professor in the Department of Physics & Astronomy at the University of New Hampshire. Her research focuses on theoretical physics, astrophysics, and dark matter, with particular expertise in neutron star physics, ultralight dark matter dynamics, and multifield inflationary cosmology. She holds a Ph.D. from the University of Waterloo, an M.S. from the University of California-Santa Cruz, and an A.B. from Harvard University. Her work bridges particle physics and astrophysics, addressing questions about dense matter equations of state via neutron star observations, axion-like dark matter simulations, and cosmological structure formation. Recent contributions include developing the NEoST Python package for neutron star studies and analyzing NICER mission data to constrain dense matter properties. Prescod-Weinstein teaches advanced courses such as Astrophysics I, Quantum Mechanics I, and doctoral research seminars. Her research incorporates numerical simulations, Bayesian statistical methods, and observational data from space-based telescopes like NICER and XMM-Newton.

Markus Diesmannمشاهده پروفایل

استاد

• Computational Neuroscience
• Neuronal Network Modeling
• Supercomputing
• +۳ مورد دیگر

Prof. Markus Diesmann is a Director of the Institute for Advanced Simulation (IAS-6) and the Institute for Neuroscience and Medicine (INM-10) at Forschungszentrum Jülich. He leads the Computational Neurophysics group, focusing on understanding neuronal network dynamics through computational models and supercomputing. His work integrates theoretical neuroscience with high-performance computing to simulate brain-scale networks and explore neuromorphic computing foundations. Research interests include correlation structures in neuronal networks, simulation technologies, brain-scale modeling, and software engineering for neuroscience. He has pioneered efforts in scaling neuronal network simulations to exascale systems and improving computational efficiency. Key contributions include the NEST simulation software and studies on synaptic plasticity, sequence learning, and LFP dynamics. Publications emphasize advancements in simulation algorithms, network connectivity analysis, and bridging experimental data with computational models. His work addresses challenges in real-time cortical microcircuit simulation, neuromorphic hardware integration, and the role of noise in neural computation. Prof. Diesmann collaborates internationally on neuroscience initiatives and high-performance computing applications. He advocates for robust scientific software practices and contributes to infrastructure for open science in computational neuroscience.

• High-Performance Computing
• Performance Modeling
• Parallel Computing
• +۳ مورد دیگر

Alexandru Calotoiu is a Researcher in the Department of Computer Science at ETH Zürich, affiliated with the Professorship for Scalable Parallel Computing. His work focuses on performance modeling, high-performance computing (HPC), serverless systems, and cloud computing. He leads research in empirical performance modeling for complex applications, optimization of parallel algorithms, and scalable cloud architectures. Key research areas include noise-resilient performance models, serverless computing frameworks, and compositional parallel programming. He has contributed to benchmarking tools like SeBS and developed techniques for loop scheduling, static analysis, and resource disaggregation in HPC environments. His publications from 2023–2025 emphasize serverless systems (e.g., FaaSKeeper, Cppless), performance embeddings for optimization, and specialized supercomputing for climate science. These studies address scalability, reproducibility, and cross-platform performance portability in data-centric workloads. No scientific awards are explicitly listed, but his work has been presented at leading conferences such as ISCA and IEEE/ACM events. He collaborates on projects like rFaaS (RDMA-enabled serverless platforms) and Process-as-a-Service frameworks. His research bridges theoretical models with practical implementations in distributed systems and cloud infrastructure.

Kaitlin Baudierمشاهده پروفایل

استادیار

• Environmental Science
• Social Insects
• Physiological Ecology
• +۴ مورد دیگر

Dr. Kaitlin Baudier is an Assistant Professor at the University of Southern Mississippi, specializing in the study of social insects and their cooperative physiological adaptations to environmental stressors. Her research focuses on how individual behaviors and physiologies scale to group strategies, with particular emphasis on thermal macrophysiology and group competition in social species. She teaches courses in General Zoology and Comparative Animal Physiology. Dr. Baudier holds a Ph.D. from Drexel University (2017) and a B.S. from Louisiana State University (2008). Her work integrates ecological and evolutionary perspectives, examining how climatic variation influences thermal tolerance and adaptation across species. Her research interests include environmental science, social insect behavior, physiological ecology, and the impacts of climate change on tropical ecosystems. Notable contributions explore thermal tolerance in army ants, stingless bee defense mechanisms, and collective thermoregulation in insect colonies. Professional affiliations include the International Union for the Study of Social Insects, Animal Behavior Society, and Entomological Society of America. She is fluent in English, with limited proficiency in Spanish and elementary knowledge of Japanese.

Alireza Bakhshaiمشاهده پروفایل

استاد

• Renewable Energy Systems
• Power Electronics
• Electrical Engineering
• +۷ مورد دیگر

Dr. Alireza Bakhshai is a Professor in the Department of Electrical and Computer Engineering at Queen's University, Canada. He holds a PhD from Concordia University (1997) and has served as faculty at Isfahan University of Technology and Queen's University. His research focuses on renewable energy systems, power electronics, control systems, and multilevel converter technologies. He has supervised 15 graduate students and currently advises/co-advises eight students. His work includes contributions to electric vehicle chargers, DC microgrid control, hybrid energy storage systems, and advanced inverter topologies. Education: PhD, Electrical Engineering (Concordia University, 1997); MSc and BSc (Isfahan University of Technology, 1986 and 1984). Research Interests: Renewable energy integration, multilevel converter design, reinforcement learning applications in power systems, and efficient energy management strategies. His recent publications emphasize AI-driven control methods for microgrids and electric vehicle systems. Awards: Not explicitly stated in provided materials. Advising & Grants: Supervised 15 graduate students, currently advising four and co-advising four. His research has addressed industrial challenges such as FACTS controllers for steel mills and unified power flow controllers. Lab/Teams: Active in power electronics and renewable energy research groups at Queen's, focusing on applied industrial solutions and academic-industry collaborations.

Ming Maمشاهده پروفایل

استادیار

• Artificial Intelligence
• Medical Imaging
• Large Language Model
• +۳ مورد دیگر

Ming Ma is an Assistant Professor in the Department of Graduate Computer Science and Engineering at the Katz School of Science and Health, Yeshiva University. He leads the Medical Imaging and Artificial Intelligence lab. He holds a Ph.D. in Computer Science from Stony Brook University and completed a postdoctoral fellowship at Stanford University. His research focuses on integrating artificial intelligence with medical imaging, particularly in areas like medical image segmentation, deep learning applications in healthcare, and geometric modeling for biomedical systems. Education: Ph.D. in Computer Science, Stony Brook University, USA Postdoctoral Scholar, Stanford University, USA Research Interests: His work spans Artificial Intelligence , Medical Imaging , Large Language Models , Geometric Modeling , and Computer Vision . He develops novel algorithms for medical image analysis, including techniques for dose prediction in radiation therapy, pulmonary nodule detection, and segmentation of vascular structures. Recent projects emphasize the application of graph convolutional networks and optimal transport methods in low-dose CT imaging. Conference Contributions: He serves on program committees for conferences like AAAI 2022, ICONIP 2024, and CHASE 2025, reflecting his leadership in advancing AI and biomedical engineering research. Labs/Teams: His lab at Yeshiva University focuses on interdisciplinary research at the intersection of AI, medical imaging, and computational anatomy, with a commitment to translating algorithmic innovations into clinical applications.

Maria E. Oriveمشاهده پروفایل

استاد

• Evolutionary Theory
• Population Genetics
• Clonal Reproduction
• +۶ مورد دیگر

Maria E. Orive is a Professor in the Department of Ecology and Evolutionary Biology at the University of Kansas and serves as Associate Dean of the College of Liberal Arts & Sciences. Her research focuses on theoretical population genetics, particularly examining the evolutionary implications of complex life histories with an emphasis on clonal reproduction. She has made significant contributions to understanding how reproductive strategies affect genetic structure, adaptation, and evolutionary processes. Dr. Orive received her undergraduate degree from Stanford University and her Ph.D. from the Department of Integrative Biology at the University of California, Berkeley. She completed postdoctoral training at the University of Georgia with Dr. Marjorie Asmussen and was an NSF NATO Post-Doctoral Fellow at the University of Edinburgh with Dr. Nick Barton. She joined the University of Kansas faculty in 1997 and has since established herself as a leading researcher in theoretical population genetics. Her research interests include: Evolutionary theory and population genetics of organisms with complex life histories Life history evolution and the evolution of senescence Relationship of population structure and life-history attributes to gene flow and genetic diversity Use of multilocus genotypic data in analyzing gene flow and hybrid zones Within-host viral population dynamics Dr. Orive's work employs mathematical models to investigate how complexities such as clonal and asexual reproduction, non-random mating, and different patterns of dispersal affect genetic structure. Her research spans evolutionary rescue in changing environments, spatial adaptation in partially clonal organisms, and within- and between-host pathogen dynamics, with applications in conservation biology, epidemiology, and understanding fundamental evolutionary processes. She teaches courses including Principles of Genetics, Introduction to Biostatistics, Senior Seminar in Genetics, and Population Genetics. Dr. Orive mentors both graduate and undergraduate students in the Orive Lab, where current research includes mathematical modeling of Neisseria meningitidis and computer simulations exploring clonal interference effects. Her major collaborations include: R.D. Holt and M. Barfield at the University of Florida on models of structured populations F.B. Agusto at KU and M.C.A. Leite at the University of South Florida on nested models of multi-host pathogen systems

David Cairnsمشاهده پروفایل

استاد

• Climate Change Impacts on Vegetation
• Ecotone Dynamics
• Population Genetics
• +۳ مورد دیگر

David Cairns is a Professor and Department Head at Texas A&M University's College of Geosciences, specializing in climate change impacts on vegetation. His research focuses on ecotones, treelines, salt marshes, and tundra environments. He employs methods like population genetics, dendroecology, and simulation modeling. Education: Ph.D., University of Iowa (1995); M.S., University of Florida (1991); B.A., University of California, Berkeley (1989). Research interests include alpine treeline dynamics, arctic shrub expansion, and salt marsh vegetation as climate indicators. He has advised multiple graduate students and earned notable teaching awards, including the College-Level Distinguished Achievement Award (2012).

• Architecture
• Technology in Architectural Practice
• Building Information Modeling (BIM)
• +۴ مورد دیگر

Richard Garber is a Lecturer at the Weitzman School of Design, University of Pennsylvania, and a founding partner at GRO Architects. His work emphasizes integrating emerging technologies to address client needs, interdisciplinary collaboration, and ecological considerations. Garber is a licensed architect in New York, Colorado, Connecticut, Florida, and New Jersey, with prior experience as a project manager at SHoP Architects and Greg Lynn FORM. He holds a Bachelor of Architecture from Rensselaer Polytechnic Institute and a Master of Science in Advanced Architectural Design from Columbia University. Bachelor of Architecture: Rensselaer Polytechnic Institute Master of Science in Advanced Architectural Design: Columbia University’s Graduate School of Architecture, Planning and Preservation His research interests focus on leveraging technology for innovative design solutions, including formal speculation, simulation, manufacturing, and construction workflows. He has authored books such as BIM Design (2014), Workflows (2017), and Building Futures (2023), and guest-edited AD Closing the Gap (2009). These works explore how design computing and BIM can expand architectural possibilities beyond efficiency. Recent awards include the 2024 Merit Award and Gold Medal for Montgomery Mosque, 2022 Honor Award for Nest (micro-housing project), and 2015 Bronze Medal for Wuhan’s urban planning proposal. His firm’s PREttyFAB prototype won an AIA Merit Award (2009) and PCI Design Award (2010). Garber has lectured internationally, including at China’s Harbin Institute of Technology (2013) and Beijing General Municipal Engineering and Design Research Institute (2018). His professional trajectory includes leadership roles at GRO Architects, where he has driven large-scale planning and urban infill projects. He has no explicitly stated advisees or grants listed in the provided text.

Jan Wesselمشاهده پروفایل

دانشیار

• Transport Economics
• Sustainable Transportation
• Cycling Behavior
• +۳ مورد دیگر

PD Dr. Jan Wessel is an Associate Professor at the Institute of Transport Economics, University of Münster. He holds a PhD in Economics (2020) and completed his habilitation in 2025, earning a teaching qualification in economics. His research focuses on transport economics, sustainable mobility, and cycling behavior analysis. Wessel has conducted extensive studies on bicycle traffic dynamics, street space allocation efficiency, and the economic impacts of infrastructure investments. Education: BSc/MSc in Economics from University of Münster (2012-2017), PhD in 2020. Professional background includes roles as research associate (2017-present) and later Associate Professor. He has presented research globally, including at the ITEA Conferences in Berlin, Hong Kong, and Chicago. Recent work includes analyzing e-bike adoption effects on CO2 emissions (2025), fuel price impacts on cycling (2024), and street space optimization models (2023). His research has been recognized with the Richard J. Arnott Best Paper Prize (2023) and other awards. Wessel advises on transport policy matters and collaborates with institutions like the Federal Ministry of Transport. Current research priorities include: (1) Quantifying externalities in transport systems (e.g., vehicle value externality studies), (2) Developing efficient street space allocation frameworks, and (3) Evaluating pandemic-era mobility shifts. His lab focuses on integrating behavioral economics with transport infrastructure analysis.