جست‌وجوی استاد و پژوهشگر

Ottar Bjornstadمشاهده پروفایل

استاد

• Population Ecology
• Epidemiology
• Mathematical Biology
• +۲ مورد دیگر

Ottar Bjornstad is a Distinguished Professor of Entomology and Biology at Pennsylvania State University, holding the Huck Chair of Epidemiology. He is affiliated with multiple research centers, including the Center for Infectious Disease Dynamics, One Health Microbiome Center, and Center for Mathematical Biology. His research focuses on population ecology, epidemiological modeling, and the mathematical foundations of infectious disease dynamics. He investigates how climate change affects ecological systems, transmission patterns of zoonotic diseases, and the interplay between host demographics and disease spread. Recent publications highlight his work on dengue virus transmission, vaccine distribution logistics, and age-structured epidemic models. His studies span disciplines including ecology, virology, and computational epidemiology. Elected to Norwegian Academy of Sciences and Letters (2021) He collaborates with institutions worldwide, addressing global health challenges like Lassa virus spread and measles persistence mechanisms. His methodological contributions include statistical frameworks for epidemic analysis and spatial synchrony metrics.

Stephen Barnesمشاهده پروفایل

دانشیار

• Public economics
• Labor economics
• Tax policy
• +۳ مورد دیگر

Dr. Stephen Barnes is an Associate Professor of Economics at the University of Louisiana at Lafayette , affiliated with the B.I. Moody III College of Business Administration and the Kathleen Babineaux Blanco Public Policy Center . He serves as the Center's Director and as the independent economist on the Louisiana Revenue Estimating Conference. Education : PhD and MS in Economics from the University of Texas at Austin (2008, 2004), BS in Economics from LSU (2002). Dr. Barnes' research spans public economics, labor economics, health economics, and environmental economics , with a focus on policy implications for Louisiana. His work addresses topics such as: Education-policy interactions and juvenile crime Environmental risk assessment and coastal economics Health insurance coverage and Medicaid Transportation safety and pandemic impacts His publications reflect interdisciplinary collaboration with federal/state agencies and scholars across China, Louisiana, and other states. Notably, his recent work examines: Covid-19 lockdown effects on traffic accidents Flood risk mitigation strategies Medicaid coverage accuracy over time Coastal land loss economics Dr. Barnes actively involves students in research projects at the Blanco Center, which focuses on applied policy research in areas like: Education and poverty Healthcare and environmental policy Governmental ethics and economic opportunity

Christos Likosمشاهده پروفایل

استاد

• Soft Matter Physics
• Theoretical Physics
• Computational Physics
• +۴ مورد دیگر

Univ.-Prof. Christos N. Likos is a world-leading researcher at the University of Vienna , holding the chair in Multiscale Computational Physics since 2010. Affiliated with the Faculty of Physics and directing the Computational and Soft Matter Physics group, he bridges scales from microscopic to macroscopic in soft matter systems. Education: Dipl.-Ing. in Electrical Engineering (NTUA Athens), M.Sc. & Ph.D. in Physics (Cornell University) Honors: Fellow of the Royal Society of Chemistry (2013), University of Vienna Teaching Award (2025), Outstanding Referee Award (2009) His research in Soft Condensed Matter focuses on polymers, colloids, and biomolecular systems through coarse-graining , density functional theory , and Monte Carlo simulations . Key collaborations include institutions in Rome, Heraklion, San Sebastian, and Princeton. His work reveals principles of self-organization, non-equilibrium phenomena, and responsive material design with applications in cosmetics, nanotechnology, and biophysics. Recent publications highlight active matter , topological polymers , and electric field-responsive microgels . The group trains 18 current students (Ph.D., M.Sc., B.Sc.) and maintains partnerships with experimental teams across Europe. As Associate Editor of Soft Matter and member of Journal of Colloid and Interface Science Open editorial board, he shapes scientific discourse in his field. Teaching excellence is a hallmark, with courses on Advanced Statistical Physics and Soft Matter Principles . His group website details ongoing projects, while lab facilities in Vienna's Kolingasse campus enable interdisciplinary research.

Danijel Skočajمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Danijel Skočaj is Full Professor at the University of Ljubljana, Faculty of Computer and Information Science , and serves as Head of the Visual Cognitive Systems Laboratory . He is an internationally recognized researcher in computer vision, machine learning, and cognitive robotics , with a strong focus on deep-learning solutions for real-world visual perception tasks and their ethical implications. Education: While specific degrees are not listed in the text, Professor Skočaj’s 2002 “Best PhD paper award” confirms he holds a PhD in the relevant field. Research Interests: His work spans Computer Vision & Pattern Recognition Deep Learning & Neural Networks Cognitive Robotics & Autonomous Navigation Visual Anomaly & Surface-Defect Detection AI Ethics & Societal Impact of AI These interests manifest in both theoretical advances and practical systems deployed in industry and public infrastructure. Publication Trends: Recent papers (2020-2024) emphasize deep-learning architectures for defect detection, robotic grasping, autonomous navigation, traffic-sign recognition, and 3-D anomaly detection , demonstrating a clear trajectory toward robust, real-time, and data-efficient visual intelligence. Awards & Honors: Prometheus of Science Award 2021 (Slovenian Science Foundation) Golden Plaque, University of Ljubljana 2020 ARRS National Award for Exceptional Scientific Achievement 2011 & 2022 Multiple Best-Paper awards at ERK conferences (2013, 2017, 2019) Top-downloaded paper recognition, Journal of Intelligent Manufacturing 2020 Grants & Projects: He currently leads or co-leads five major 2025-2028 national and EU projects (RTFM, SMASH, COMET, RoDEO, MUXAD) totaling several million Euros, focusing on advanced computer vision, machine learning for science & humanities, autonomous systems, and explainable AI. Past leadership includes EU FP7 CogX, GOSTOP, ViLLarD, and many ARRS programmes. Laboratory & Team: The Visual Cognitive Systems Laboratory hosts a dynamic group of doctoral and master’s students working on cutting-edge perception systems. The lab’s open-source low-cost robotic platform and datasets are widely adopted for education and research.

• Nanoscale Transport Phenomena
• Fluid Mechanics
• High-Performance Computing
• +۵ مورد دیگر

Dr. Gerald Wang is an Assistant Professor in Civil and Environmental Engineering at Carnegie Mellon University with courtesy appointments in Chemical Engineering and Mechanical Engineering. He leads the M5 Lab (Mechanics of Materials via Molecular and Multiscale Methods), focusing on nanoscale mechanics using computational approaches to solve civil engineering challenges related to water-energy systems, material resilience, and sustainable polymers. Education: Ph.D. in Mechanical Engineering and Computation, MIT (2019) S.M. in Mechanical Engineering, MIT (2015) B.S. in Mechanical Engineering, Mathematics & Physics, Yale University (2013) His research integrates statistical physics, fluid mechanics, and high-performance computing to investigate nanoscale structural and transport phenomena. Key areas include climate-resilient infrastructure, energy-water nexus solutions, and nanoscale thermal transport in materials. Recent work explores molecular-scale separation processes and recyclable polymer design using advanced simulation techniques. Publication trends demonstrate consistent focus on nanoscale transport mechanisms, computational method development, and interdisciplinary applications from materials science to urban systems. Articles frequently bridge molecular dynamics with macro-scale engineering problems. Awards: Scott Institute Seed Grant for clean energy research CMU Celebration of Education Award for teaching excellence Current projects include NSF-funded work on nanoscale slip phenomena and polymer upcycling collaborations. The M5 Lab develops open-source simulation tools and maintains active industry partnerships in advanced materials.

• Environmental Ergonomics
• Transportation Comfort
• Aircraft and Automotive Interior Design
• +۳ مورد دیگر

Prof. Peter Vink is a Professor of Environmental Ergonomics at TU Delft's Faculty of Industrial Design Engineering (IDE), specializing in comfort and human-centered design for transportation systems. His work focuses on improving comfort in aircraft and automotive interiors, with notable contributions to seat design, noise/vibration mitigation, and sustainable aviation innovations like the Flying-V project. He holds leadership roles in projects such as ComfDemo and collaborates with industries like BMW and aerospace firms. Awards include the Crystal Cabin Award 2023 and Officer in the Order of Orange-Nassau (2023). Vink has advised 27 PhD students and is an acclaimed educator, winning the Pluim Award for inspiring teaching. His research integrates scientific rigor with practical applications, bridging academia and industry to enhance human well-being in travel environments. Affiliations: TU Delft IDE, Human-Centered Design Department Key Projects: Flying-V aircraft interior design, turboprop cabin demonstrator, BMW seat contour research Research Interests: Environmental ergonomics, sustainable aviation, seat and cabin design, passenger comfort metrics, and human factors in transportation systems. His work addresses challenges like zero-emission aircraft ergonomics and balancing lightweight materials with comfort needs. Awards: Crystal Cabin Award 2023 (aircraft interiors) Officer in the Order of Orange-Nassau (2023) Hal W. Hendrick Award (2011) for ergonomics contributions Most Inspiring Teacher (Pluim Award, 2021) Advising & Grants: Supervised 27 PhD students, with ongoing projects in aviation ergonomics and sustainable design. Collaborations with BMW, aerospace firms, and EU-funded initiatives like ComfDemo. Active in editorial roles for journals like Applied Ergonomics and Work . Labs/Teams: Leading IDE's research on vehicle comfort, collaborating with TU Delft's Aerospace Engineering faculty on projects like the Flying-V. Involved in developing emotion-aware car seats and smartphone-friendly ergonomic chairs.

Alex 'Sandy' Pentlandمشاهده پروفایل

استاد

• Computational Social Science
• Wearable Computing
• Reality Mining
• +۶ مورد دیگر

Alex 'Sandy' Pentland is a Professor of Media Arts and Sciences at the MIT Media Lab, where he helped create and direct both the MIT Media Lab and Media Lab Asia in India. He also serves as a HAI Fellow at Stanford University. Pentland is one of the most-cited computational scientists globally and was named by Forbes as one of the '7 most powerful data scientists in the world.' Pentland's educational background includes undergraduate studies at the University of Michigan and a Ph.D. in artificial intelligence and psychology from MIT. His research spans computational social science, organizational engineering, wearable computing (including Google Glass), image understanding, and modern biometrics. His recent publications reveal a strong focus on the intersection of AI and social systems, with emphasis on human-AI coevolution, data ethics, network science, and the societal implications of digital technologies. His work increasingly addresses critical issues in data privacy, tokenized asset networks, and the social contract in the age of big data, demonstrating his continued leadership in shaping how society understands and manages digital transformation. MIT's Toshiba endowed chair Election to the U.S. Academy of Engineering McKinsey Award from Harvard Business Review 40th Anniversary of the Internet from DARPA Brandeis Award for work in privacy Pentland has advised over 80 PhD students, with nearly half now tenured faculty at leading institutions, a quarter leading industry research groups, and the remainder founding their own companies. His research has attracted significant funding, evidenced by projects like the DARPA Network Challenge where his team won by applying data-driven approaches to crowd coordination. His work on 'reality mining' has led to practical applications in call centers, mental health services, and urban planning. As director of the Human Dynamics group at MIT, Pentland has pioneered sociometric sensors and reality mining techniques. His lab has incubated numerous companies including Ginger.io (mental health services), CogitoCorp.com (AI coaching), Wise Systems (delivery optimization), Sila Money (financial technology), and several others focused on data privacy and AI applications across various sectors.

Henning Piezunkaمشاهده پروفایل

دانشیار

• Competition
• Collaboration
• Crowdsourcing
• +۳ مورد دیگر

Henning Piezunka is an Associate Professor of Management at The Wharton School, University of Pennsylvania. He holds a PhD from Stanford University, a Master of Science from the London School of Economics, and a Diploma Kaufmann from the University of Mannheim. Before academia, he co-founded and led a web design company for 18 years, growing it to 30+ employees serving 80+ countries before its sale in 2016. His research examines: Competition and collaboration dynamics in entrepreneurial firms, family businesses, and sports contexts Crowdsourcing innovation and platform strategies Organizational decision-making structures and learning processes CEO succession planning and its organizational impacts His recent publications (2019-2025) demonstrate methodological diversity, combining archival analysis of Formula One/soccer data, crowdsourcing platform experiments, and organizational case studies. Key thematic focuses include: how competition manifests in collaborative settings, AI's role in strategic learning, and how organizational structures shape individual behavior. Awards & Honors: Wharton Teaching Excellence Award (2023) Emerging Scholar Award, TIM Division, Academy of Management (2022) Poets & Quants Best 40 Under 40 Professor (2019) Multiple teaching commendations for MBA/EMBA courses (2014-2023) He teaches core entrepreneurship courses including MGMT2300 (Entrepreneurship) and MGMT2310 (Entrepreneurship Launchpad), focusing on venture creation, resource acquisition, and scaling strategies. He also leads doctoral seminars on research design and maintains an active advisory practice through the 'Between the Lines' webinar series featuring business school authors.

Tova Miloمشاهده پروفایل

استاد

• Databases
• Big Data Management
• Machine Learning for Data Management
• +۷ مورد دیگر

Professor Tova Milo is the Chair for Information Management at the School of Computer Science, Tel Aviv University, leading the prominent Databases Lab (DB Group). Her research spans databases, big data management, crowd-based data sourcing, and business process querying, with significant contributions to data integration and semi-structured data systems. Her research interests focus on innovative approaches to data management challenges through machine learning integration, crowd computing, and business process analysis. Key projects include Business Process Querying (BPQ) for analyzing BPEL specifications, MoDaS for crowd-based data management, and PROX for data provenance summarization. Her work bridges theoretical foundations with practical applications in fraud detection, recommendation systems, and data cleaning. Analysis of her recent publications reveals strong trends in human-in-the-loop data management systems, with growing emphasis on crowd integration for data cleaning and knowledge acquisition. Her research increasingly combines traditional database theory with machine learning techniques for scalable big data processing, while maintaining focus on business process modeling and provenance tracking. ACM PODS Alberto O. Mendelzon Test-of-Time Award (2010) ERC Advanced Investigators grant MoDaS (2011) The Weizmann Prize for Exact Sciences (2017) VLDB Women in Database Research award (2017) IEEE TCDE Impact award (2022) ISF Breakthrough Research Grant (2022) Doctorate Honoris Causa, University of Zurich (2023) ACM Fellow Member of Academia Europaea Professor Milo has advised over 30 graduate students including PhD candidates like Yael Amsterdamer and Ohad Greenshpan, and numerous MSc students working on projects including MoDaS, BPQ, and EDOS. Her research has been supported by major grants including the ERC Advanced Investigators grant and ISF Breakthrough Research Grant. She actively collaborates with industry partners including IBM and Microsoft, particularly in business process management standards. She directs Tel Aviv University's Databases Lab, which maintains the DB Group with multiple research streams including business process querying (BPQ), crowd-based data management (MoDaS), and self-adaptive data dissemination (EDOS/COLT). The lab operates from the Schreiber Building (M-20) and maintains strong international collaborations, particularly with European institutions through the ERC-funded MoDaS project.

Robert Laubacherمشاهده پروفایل

پژوهشگر ارشد

• Collective Intelligence
• Artificial Intelligence
• Organizational Design
• +۳ مورد دیگر

Robert Laubacher is a Research Fellow at the MIT Center for Collective Intelligence within the Sloan School of Management , focusing on how technological innovations like generative AI and large language models are reshaping organizational practices, work structures, and social patterns. Education: B.A. in American Studies, Northwestern University M.A., Doctoral Coursework in Modern History, Harvard University His research explores: Developing ontologies for work activities inspired by biological taxonomy Enhancing human creativity through AI collaboration frameworks Building collective intelligence systems for global challenges like climate change and sustainable development Identifying foundational elements of collective intelligence Historical analysis of IT's impact on employment relationships Recent publications focus on human-AI co-creation , crowdsourced problem-solving , and organizational adaptation to digital transformation. His work has been featured in Harvard Business Review , Sloan Management Review , and ACM conference proceedings.

• Environmental Economics
• Environmental Regulation
• Corporate Social Behavior
• +۳ مورد دیگر

Jay Shimshack is Professor of Public Policy and Economics at the University of Virginia's Frank Batten School of Leadership and Public Policy, holding a Ph.D. from U.C. Berkeley and B.S. from Cornell University. Prior to UVA, he held faculty positions at Tulane University, Tufts University, and was a visiting fellow at the University of Michigan. His educational background includes: Ph.D. in Economics from University of California, Berkeley B.S. from Cornell University Shimshack's research focuses on environmental regulation, environmental economics, corporate social behavior, and applied microeconomics for public policy. He extensively examines environmental inequality, regulatory compliance mechanisms, and pollution enforcement effectiveness. His work bridges academic research with policy applications through advisory roles with federal agencies, with particular emphasis on citizen complaint systems, environmental justice, and Clean Water Act policy analysis. His recent publications (2019-2024) demonstrate empirical analysis of environmental regulations across domestic and international contexts, revealing consistent themes in compliance assistance effectiveness, transboundary pollution challenges, and socioeconomic disparities in environmental quality. The research combines rigorous economic methodology with real-world policy evaluation, particularly in U.S. regulatory settings and international case studies including Mexico and China. Shimshack has been acknowledged by the University of Virginia for excellence in research contributions, receiving institutional recognition for impactful scholarship that informs environmental policy debates. He has provided advisory services to the EPA, FDA, USDA, and other federal agencies; consulted for private organizations; and testified before the U.S. House of Representatives. His policy engagement includes publishing numerous book chapters and reports, most notably the 2023 analysis finding the Trump administration's Clean Water Act rollback relied on dubious methodology. At UVA, he teaches economics for public policy and benefit-cost analysis.

• Cognitive Psychology
• Cross-modal Perception
• Environmental Psychology
• +۲ مورد دیگر

Marco Costa is a Full Professor at the Department of Psychology "Renzo Canestrari" within the University of Bologna. His research spans cognitive psychology, cross-modal perception, and environmental psychology, with a particular emphasis on the interplay between music, visual cognition, and behavioral responses. His recent publications highlight trends in auditory-visual integration , including studies on musical mode perception , spatial cognition , and environmental influences on behavior . His work bridges theoretical and applied domains, ranging from urban design to sensory neuroscience.

• Computer Science
• Networking Systems
• Software Engineering
• +۵ مورد دیگر

Xin Wang is a Professor at Fudan University's School of Computer Science, specifically within the Department of Communication Science and Engineering and affiliated with the State Key Laboratory of ASIC and System in Shanghai, China. With 185 publications spanning two decades (2003-2025), Wang maintains an exceptionally active research profile, particularly evident in recent high-output years including 22 publications in 2019, 19 in 2021, and 13 in 2024. The research portfolio demonstrates deep collaboration networks, most notably with Yang Chen (45 co-authored papers), Yangfan Zhou, and Qingyuan Gong. Wang's research spans multiple critical areas in computer science, with significant contributions to networking systems (particularly CDN optimization, HTTP/3 implementation, and IPv6 infrastructure), software engineering (focusing on work rhythms, testing methodologies, and GUI analysis), mobile applications (including healthcare implementations and accessibility features), and security (especially account security and fraud detection in e-commerce). The interdisciplinary nature of the work is evident through applications in healthcare, e-commerce, campus safety, and IoT systems. Analysis of recent publications (2023-2025) reveals a strong trend toward practical system implementations addressing real-world challenges. The research demonstrates a consistent pattern of moving from theoretical foundations to deployable solutions, with particular emphasis on optimizing performance in networking systems, enhancing security in digital platforms, and improving user experience across diverse application domains. The work frequently incorporates machine learning techniques to solve complex system problems while maintaining practical applicability. While specific grant information isn't detailed in the publication records, the extensive collaboration network spanning multiple institutions in China and internationally suggests substantial research funding support. The consistent publication output across top venues including IEEE/ACM Transactions, INFOCOM, SIGCOMM, and ICSE indicates sustained research productivity and impact.

Anthony Comerمشاهده پروفایل

دانشیار

• Composite Materials
• Thermoplastics
• Aerospace Engineering
• +۶ مورد دیگر

Anthony Comer is an Associate Professor at the University of Limerick, holding dual affiliations with the School of Engineering and the Bernal Institute. His research focuses on advanced composite materials, particularly in thermoplastic systems, bio-epoxy composites, and their applications in aerospace, marine, and renewable energy sectors. He leads studies on failure analysis, environmental degradation effects (hygrothermal aging), and structural performance under fatigue and impact loading. Comer's work emphasizes sustainable materials for offshore infrastructure and aircraft maintenance practices. He has authored 43 peer-reviewed articles, with recent contributions analyzing composite repair techniques, cure schedules for sustainable composites, and the mechanical properties of non-crimp fabrics. His research integrates experimental methods (e.g., SEM testing, digital image correlation) with numerical modeling to predict failure modes and optimize material performance. Key collaborations include studies on hydrothermal strength of carbon fiber laminates, automated manufacturing processes, and crowd-structure interaction in grandstands. Despite his extensive publications, no scientific awards are explicitly listed in the provided texts. His advisory role extends to graduate research in composite materials, though specific student names are not documented here. Labs/Teams: Active within the Bernal Institute's advanced materials research group, focusing on composites for energy and transport sectors.

Michael Rosenمشاهده پروفایل

استاد

• Biomolecular Condensates
• Phase Separation
• Cellular Organization
• +۳ مورد دیگر

Dr. Michael Rosen is the Chair of the Department of Biophysics at UT Southwestern Medical Center and an Investigator at the Howard Hughes Medical Institute. His research focuses on biomolecular condensates, studying their formation, regulation, and functions through techniques such as biochemical reconstitution, microscopy, and cryo-electron tomography. Key contributions include understanding phase separation mechanisms in cellular compartments and their roles in processes like mitosis and signal transduction. Education: B.S. in Chemistry and Chemical Engineering (University of Michigan, 1987), Ph.D. in Chemistry (Harvard University, 1993), postdoctoral research at the University of Toronto (1993–1996). Established his independent lab at Memorial Sloan-Kettering Cancer Center (1996) before joining UTSW in 2001. Research emphasizes condensates' material properties, including their liquid-like behavior and interactions with lipids and nucleosomes. Notable findings include how phase transitions protect mitotic chromosomes from microtubule damage and how condensates modulate enzymatic activity through molecular crowding. Awards include the Howard Hughes Medical Institute Investigatorship and the Beth Levine M.D. Prize in Autophagy Research. His lab collaborates widely, integrating biophysics, biochemistry, and structural biology to address cellular organization across scales.