جست‌وجوی استاد و پژوهشگر

Amjad Hossainمشاهده پروفایل

مدرس

• Structural Engineering
• Earthquake Engineering
• Structural Dynamics
• +۴ مورد دیگر

Amjad Hossain is a full-time Lecturer in the Department of Construction Management at the University of Texas at Tyler, part of the College of Engineering. He holds an M.A.Sc in Civil Engineering (Concordia University, 2006) and is a Ph.D. Candidate in Structural Engineering. A licensed Professional Engineer in Texas and Washington (USA) and former P.Eng in Alberta (Canada), he brings over 15 years of structural engineering design experience in North America. Prior roles include adjunct Professor at the University of Houston and teaching/research assistant at Concordia University. His research focuses on Structural Dynamics, Earthquake Engineering, Structural Health Monitoring, Reinforced Concrete Design, and Finite Element Method applications . He has published widely in structural engineering conferences, including works on seismic performance of concrete shear walls and vibration analysis. Courses taught include Construction Structural Systems, Advanced Estimating, and Steel/Concrete Applications. Notable technical expertise includes matrix analysis methods, earthquake-resistant building design, and professional licensure across multiple jurisdictions. While no explicit awards are listed, his publications reflect sustained engagement with structural safety and innovation.

• Control Theory
• Fault Tolerant Control
• Condition Monitoring
• +۳ مورد دیگر

Dr. Peter Hubbard is a Senior Lecturer in Control Systems Engineering at the School of Electronic Electrical and Systems Engineering. His work focuses on control theory implementation, fault-tolerant control systems, and condition monitoring, with practical applications in rail and aerospace sectors. With industrial experience at BAE Systems, his research aligns with current industrial needs to bridge academic and real-world engineering challenges. His research interests include the development of advanced control strategies for rail and aerospace systems, particularly in areas such as wheel-rail adhesion management, low adhesion detection systems, and active control of trolleybus current collection. He also explores fault management and structural health monitoring in aviation and rail infrastructure. Recent publications highlight advancements in deep learning-driven friction coefficient estimation, real-time adhesion detection, and the integration of thermoelectric models for aircraft generators. These studies reflect a commitment to solving complex engineering problems through data-driven approaches and interdisciplinary collaboration. Peter has contributed to projects addressing passenger safety in rail systems, such as kneeling train mechanisms, and has explored innovative solutions for trolleybus pantograph systems. His work emphasizes practical outcomes, with applications in enhancing rail safety, improving aircraft generator efficiency, and advancing fault-tolerant avionics.

Köszegi Sabine Theresiaمشاهده پروفایل

استاد

• Human-Robot Interaction
• Artificial Intelligence Ethics
• Organizational Behavior
• +۳ مورد دیگر

Prof. Dr. Köszegi Sabine Theresia is a full professor at TU Wien's Institute of Management Sciences, affiliated with the Research Department of Work Science and Organization. She leads projects on robotic care (Caring Robots) and negotiation dynamics (e-Nego-motion). Her research focuses on human-robot interaction, organizational behavior in digital transformation, and ethical implications of artificial intelligence. Key areas include trust in autonomous systems, platform-mediated labor, and workplace flexibility. Education details not explicitly stated but inferred through academic role. Research interests prominently feature sociotechnical systems, explainable AI, and gender perspectives in technology. She has co-authored over 160 publications since 2000, with recent work emphasizing care robots' societal impact, remote work dynamics, and AI ethics. No awards listed but maintains active research groups like the Network Lab. Advising role details unavailable. Publications span interdisciplinary topics including healthcare robotics, digital labor platforms, and public sector telework policies.

Wenbo Caiمشاهده پروفایل

دانشیار

• Operations Research
• Supply Chain Management
• Game Theory
• +۴ مورد دیگر

Wenbo Cai is an Associate Professor in the Department of Mechanical and Industrial Engineering at the New Jersey Institute of Technology (NJIT). He holds a Ph.D. and M.S. in Industrial Engineering and Operations Research from the University of California, Berkeley, and dual B.S. degrees in Electrical and Computer Engineering and Operations Research and Industrial Engineering from Cornell University. His research focuses on operations research, supply chain optimization, game theory, and sustainability. Key areas include energy security, inventory management, carbon capture systems, and healthcare operations. He develops data-driven models to address challenges in resource allocation, strategic decision-making under uncertainty, and incentive design for multi-agent systems. Cai's recent work emphasizes practical applications in developing economies, environmental policy, and emerging technologies like 3D printing. His articles highlight innovative solutions for supply chain resilience, biodiversity conservation, and scalable energy systems. While his publications span a decade, they consistently integrate theoretical rigor with real-world problem-solving. No scientific awards are explicitly mentioned. His advising and grant activities are not detailed in the provided text, but his academic profile suggests active engagement in research funding and student mentorship. His professional website at NJIT provides further details about his lab and ongoing projects.

Christopher Beckمشاهده پروفایل

استاد

• Optimization
• Constraint Programming
• Heuristic Search
• +۳ مورد دیگر

J. Christopher Beck is a Professor in the Department of Mechanical & Industrial Engineering at the University of Toronto. He holds a PhD in Computer Science from the University of Toronto (1999), focusing on knowledge-based heuristic search algorithms. His research integrates optimization, constraint programming, and scheduling, with applications in manufacturing, healthcare, and artificial intelligence. **Research Interests**: Optimization, heuristic search, constraint programming, scheduling, hybrid algorithms, dynamic and uncertain problems, problem modeling. His work emphasizes combining mixed-integer programming and constraint programming, optimization under uncertainty, and multi-agent negotiation for combinatorial problems. **Recent Focus**: Recent articles emphasize reinforcement learning, quadratic traveling salesman problems, multicommodity flows, and domain-independent dynamic programming. His work bridges theoretical advances with practical applications in healthcare scheduling, quantum computing, and robotic task planning. **Affiliations**: Director of the Toronto Intelligent Decision Engineering Laboratory (TIDEL), part of the Faculty of Applied Science and Engineering. Active in international conferences like CP (Constraint Programming) and ICAPS (International Conference on Automated Planning and Scheduling). **Advising & Grants**: Advises graduate students in optimization and scheduling. Research supported by grants focusing on constraint programming, cloud computing optimization, and wind farm layout design.

• genomics
• digital health
• health humanities
• +۴ مورد دیگر

Ine Van Hoyweghen is a full professor at the Faculty of Social Sciences, KU Leuven , and head of the Life Sciences & Society Lab . She serves as a member of multiple institutes including the Leuven Centre for Health Humanities , DigiSoc , and iSi Health , with a focus on the ethical, legal, and social implications of digital and genomic medicine. Research Focus: Genomics, digital health, health humanities, responsible innovation Leadership: Life Sciences & Society Lab; involved in EU health data policy initiatives Awards: Francqui Prize in Human Sciences (2025) Her recent work explores in silico medicine , next-generation sequencing implementation , and genetic discrimination policy , emphasizing cross-disciplinary collaboration and public values in algorithmic healthcare. Publications address European Health Data Space challenges and genomic diagnostic ethics . Notable scientific awards include the 2025 Francqui Prize, recognizing her contributions to human sciences. She actively engages in EU policy debates through projects like REIMAGINE ADM and NEUROCOV , with a focus on stakeholder engagement and trust-building in digital medicine.

Philipp Christian Bronieckiمشاهده پروفایل

پژوهشگر

• European Union Politics
• Legislative Politics
• Data Science
• +۷ مورد دیگر

Philipp Christian Broniecki is a postdoctoral researcher in the Department of Political Science at the University of Oslo, affiliated with the Strategy of Recorded Voting in the European Parliament (StREP) project. He holds a Senior Research Officer position at the ESRC Business and Local Government Data Research Centre (University of Essex) and has advised local governments and NGOs on research methodology. His work focuses on EU legislative politics, political negotiations, and advanced quantitative methods including machine learning and Bayesian statistics. Education & Positions: Postdoctoral researcher at University of Oslo (current) Senior Research Officer at University of Essex Research Interests: Broniecki examines EU institutional dynamics, Euroskepticism in the European Parliament, and methodological innovations in political science. Key areas include: Political negotiations and transparency Subnational public opinion estimation via machine learning Quantitative text analysis of development surveys Conflict escalation prediction from big data Peace agreement mediator strategies Advising & Grants: Engaged in methodological training for local governments and NGOs. Participates in multi-institutional projects funded by ESRC and other research councils. Labs/Teams: Member of Comparative Institutions and Regimes (CIR) and Political Data Science (PODS) research groups at UiO.

Daniela Jaramillo-Dentمشاهده پروفایل

پژوهشگر

• Digital Media Studies
• Migration and Technology
• Social Media and Identity
• +۳ مورد دیگر

Daniela Jaramillo-Dent is a Senior Research and Teaching Associate at ETH Zurich's Media Change & Innovation Division. Her work focuses on digital media, migration, and platform studies. She has led projects like A Chance 4 Change (2019-2022), exploring media literacy and gender-based violence, and contributed to UNHCR's digital leisure research for refugees. Her research examines migrant narratives, algorithmic visibility on TikTok, and digital leisure divides. She teaches courses like Digital Inequalities and Platforms. Her advisory roles include SMART-EU's social media resilience toolkit and Moroccan-Spanish TikTok couple studies. Education details are not explicitly mentioned, but her doctoral work at ETH Zurich investigated social media's role in shaping immigration narratives. Her research spans New Media & Society, European Journal of Communication, and International Journal of Communication. She advocates for decolonizing digital spaces and rethinking platform governance through Latin American perspectives. Her recent articles (2022-2025) analyze migrant agency on TikTok, algorithmic biases, and digital leisure's impact on displaced populations. While no awards are listed, her work is widely cited in digital media studies. She collaborates with international organizations like UNHCR and leads the Media Change & Innovation team at ETH Zurich, focusing on digital inclusion and platform dynamics.

• Proteomics
• Metabolomics
• Gene Expression Analysis
• +۳ مورد دیگر

David Rocke is a Professor at the University of California, Davis , affiliated with the Department of Public Health Sciences . His research focuses on proteomics , metabolomics , gene expression analysis , and statistical bioinformatics , with applications in molecular biology and radiation biology . Email: dmrocke@ucdavis.edu Research Interests: His work addresses statistical methods for analyzing high-throughput biological data, particularly in proteomics and metabolomics, with applications to disease mechanisms (e.g., diabetic foot ulcers, FOP), forensic identification, and radiation response. Recent studies emphasize comparative efficacy of regenerative therapies and environmental toxicology. Notable Contributions: Developed computational models for proteomic data in human identification and disease diagnostics Investigated radiation biology applications in wound healing and stress response

Horst Eidenmüllerمشاهده پروفایل

استاد

• Commercial Law
• Contract Law
• Company Law
• +۴ مورد دیگر

Horst Eidenmüller is a Professor of Commercial Law at the University of Oxford and holds a Professorial Fellowship at St. Hugh’s College. He previously served as a Visiting Professor (2009–2015) and was appointed to his current Chair in 2015. His academic journey includes an LLM from Cambridge University (1989), a PhD from Munich University (1994), and a Habilitation (1998). He taught at the University of Münster (1999–2003) and Munich University (2003–2014), where he held a research professorship under the German Research Foundation’s excellence scheme (2007–2011). His research focuses on contract law, company law, bankruptcy law, and alternative dispute resolution (ADR), emphasizing economic and empirical analysis. He has held visiting positions at Harvard, NYU, Stanford, and Columbia, and served as a Fellow at the Berlin Institute for Advanced Study (2008–2009). He advises the EU and German government on corporate and insolvency law reforms, and has acted as arbitrator/mediator in over 100 commercial disputes. Eidenmüller lectures on Corporate Insolvency Law, Comparative Corporate Law, and Commercial Dispute Resolution (mediation/arbitration). He is a Research Associate at the European Corporate Governance Institute and a Member of the Berlin-Brandenburg Academy of Sciences. His recent work explores AI’s impact on legal systems, including automated negotiations and judicial dispute resolution in digital contexts.

Hanzhe Zhangمشاهده پروفایل

دانشیار

• Microeconomics
• Matching Theory
• Game Theory
• +۶ مورد دیگر

Hanzhe Zhang is an Associate Professor and incoming Director of Graduate Admissions in the Department of Economics at Michigan State University (MSU), and an incoming Co-Editor of the Canadian Journal of Economics . He holds affiliations with the Asian Studies Center, Diversity Research Network, and other interdisciplinary programs at MSU and the Human Capital and Economic Opportunity Global Working Group at the University of Chicago. His research focuses on microeconomic theory, including matching theory, game theory (bargaining, auctions), labor economics, and family economics, with applications to interdisciplinary fields like sustainability and team dynamics. He earned his PhD in Economics from the University of Chicago under Nobel laureate Gary Becker and Phil Reny, with earlier degrees from the University of Pennsylvania. Notable research contributions include studies on marital sorting patterns in the US, gender-biased migration in China, and the design of lender-of-last-resort policies. His work has been published in top journals such as the Journal of Political Economy , Review of Economic Studies , and Proceedings of the National Academy of Sciences . He has secured funding from the National Science Foundation, Amazon, Microsoft, and others. His grants include projects on interdisciplinary team collaborations, institutional concentration among economists, and the impact of AI on accounting fraud. Zhang actively mentors students, with former research assistants advancing to top PhD and master’s programs. He leads MSU’s Microeconomic Theory Group and has contributed to teaching resources, including tractable cost functions for microeconomics education. His recent recognitions include the Paul Van Arsdell Best Paper Award and coverage in outlets like The Atlantic and Financial Times .

Mark Boonsمشاهده پروفایل

استادیار

• Digital Innovation
• Crowdsourcing
• Gig Economy
• +۳ مورد دیگر

Dr. Mark Boons is an Assistant Professor at the Department of Knowledge, Information and Innovation within the School of Business and Economics at Vrije Universiteit Amsterdam. He holds a PhD from Erasmus University Rotterdam (2013). His research focuses on digital innovation, crowdsourcing, gig economy dynamics, and digital platform organizations. Boons investigates how organizations leverage crowdsourcing for knowledge integration, process innovation, and addressing grand challenges like sustainability. His work spans topics such as platform design impacts on service providers, algorithmic HR management, and the psychological drivers of crowd participation. Notable contributions include studies on failure effects in crowdfunding, cooperative behaviors in crowdsourcing platforms, and distributed knowledge dynamics. Boons has collaborated internationally, evidenced by his projects on algorithmic accountability and the Future of Learning Challenge. Boons has received the SBE Education Award (2021) for contributions to collaborative co-creation initiatives. His research has been published in leading journals like Research Policy and IEEE Transactions on Engineering Management , with over 15 peer-reviewed articles. Ancillary activities include serving as an external academic reviewer at BI Oslo. Current projects include exploring governance frameworks for digital transformation and student teacher co-creation in education. His work bridges organizational behavior, innovation management, and information systems to address 21st-century challenges in digital ecosystems.

• Communication Science
• Media Psychology
• Interactive Digital Media
• +۸ مورد دیگر

Dr. H.H. (Vivian) Chen is Associate Professor in the Department of Media and Communication at Erasmus School of History, Culture and Communication (ESHCC), Erasmus University Rotterdam. Her work explores how interactive digital media—AI, VR, games, and social platforms—shape communication behaviors, identity negotiation, and intergroup relations. Research Interests: Social & psychological effects of AI, virtual reality, and video games Avatar embodiment, self-esteem, and identity construction Intergroup contact, prejudice reduction, and prosocial game design Online toxicity, moral choices in games, and streaming media psychology Immersive technologies for learning and cultural heritage Across 2025-2021 publications she interrogates AI misinformation, metaverse communication, avatar personalization, toxic gaming behavior, and empathy-driven VR interventions, positioning her scholarship at the intersection of communication science, media psychology, and human-computer interaction. Institutional Contact: chen@eshcc.eur.nl Dr. Chen currently participates in the €6.8 million DECIDE consortium (2025) aiming to democratize AI decision-making, underscoring her commitment to interdisciplinary, societally engaged research.

Yueran Yangمشاهده پروفایل

استادیار

• Criminal Psychology
• Eyewitness Identification
• False Confessions
• +۳ مورد دیگر

Yueran Yang is an Assistant Professor in the Department of Psychology at the University of Nevada, Reno, with a joint appointment in the Interdisciplinary Social Psychology Ph.D. Program. They hold a Ph.D. in Psychology and Statistics from Iowa State University, and a B.S. from Peking University. Their research focuses on interrogated confessions, eyewitness identification, and statistical modeling to address wrongful convictions. Yang’s work bridges psychology and mathematics to understand factors leading to false confessions and misidentifications, contributing to criminal justice reform. Education: Ph.D. in Psychology and Statistics, Iowa State University (2016) M.S. in Psychology, Iowa State University (2012) B.S. in Psychology, Peking University (2009) Research Interests: Yang investigates the psychological and statistical mechanisms behind wrongful convictions, particularly false confessions and eyewitness errors. Their work develops mathematical models to improve evidence evaluation and reduce systemic biases. Key themes include: Interrogation decision-making frameworks Statistical methods in forensic analysis Impact of evidence presentation on police and judicial decisions Recent publications highlight advancements in ROC curve analysis for eyewitness identification, police evidence evaluation biases, and youth substance use correlates. Their interdisciplinary approach combines cognitive psychology, statistics, and legal studies to enhance forensic science reliability. Students advised include Janice Burke and Justice Healy. No awards are explicitly listed in the text.

David Feil-Seiferمشاهده پروفایل

استاد

• Socially Assistive Robotics
• Human-Robot Interaction
• Machine Learning
• +۲ مورد دیگر

David Feil-Seifer is a Professor of Computer Science & Engineering at the University of Nevada, Reno. He serves as the Founding Director of the Autonomous Robotics Center of Nevada (ARCoN) and Graduate Director for the Robotics M.S. program. He holds a B.S. from the University of Rochester, and M.S./Ph.D. from the University of Southern California, with postdoctoral training at Yale University. His research focuses on Socially Assistive Robotics (SAR), socially-aware navigation, and long-term human-robot interaction. Key projects include AI solutions for speech-language pathology shortages, socially-aware navigation in public spaces, and robotics for post-stroke rehabilitation and autism support. His publications primarily explore human-robot interaction frameworks, educational robotics, and machine learning applications in healthcare and environmental monitoring. Recent work shows strong emphasis on accessible robotics education and healthcare applications. USC VSoE Best Dissertation Award NSF/CRA Computing Innovation Fellowship Mellon Award for Mentoring Order of Arete He has mentored over 100 undergraduate students and leads the Socially Assistive Robotics Group (SARG). Current grants include NSF-funded projects on robot motion legibility and AI for exceptional education. Dr. Feil-Seifer directs robotics laboratories focused on human-centered AI and multi-robot systems for disaster response and healthcare applications.