جستجوی استاد راهنمای دانشگاهی

Jay (JungKyoon) Yoonمشاهده پروفایل

دانشیار

• Human-Centered Design
• Human-Computer Interaction
• Positive Psychology
• +۳ مورد دیگر

Dr. Jay Yoon is an Associate Professor at Department of Human Centered Design , College of Human Ecology , Cornell University . He leads the Meta Design & Technology Lab which focuses on creating products that enhance both momentary and long-term user experiences through human-centered design , human-computer interaction , and positive psychology principles. Education : BA & BE in Industrial Design & Computer Science, Handong University (South Korea) MSc in Design for Interaction, Delft University of Technology (Netherlands) PhD in Emotion-driven Design, Delft University of Technology His research demonstrates how emotional granularity and positive emodiversity in technology interactions can significantly improve user well-being. He has developed multiple design tools like the EmotionPrism and Positive Emotional Granularity Cards. Industry collaborations include smart home services , airport crew centers , museum tours , and brand loyalty programs . Notable publications span International Journal of Design , She Ji: The Journal of Design, Economics, and Innovation , and International Journal of Human-Computer Interaction . Scientific Awards : Sloan Recent Alumni Achievement Award His design projects have been exhibited at international conferences including Design & Emotion and Dutch Design Week . Current research explores technology-mediated well-being through hedonic and eudaimonic experience design.

Wesley McGeeمشاهده پروفایل

دانشیار

• Robotics
• Digital Fabrication
• Material Computation
• +۳ مورد دیگر

Wesley McGee serves as Associate Professor of Architecture and Director of the Fabrication and Robotics Lab (FABLab) at the University of Michigan Taubman College of Architecture and Urban Planning. He co-founded Matter Design, a studio pioneering innovative applications of advanced manufacturing in architectural production across global contexts including the US, Europe, Middle East, and Australia. Education Bachelor of Science in Mechanical Engineering, Georgia Tech Master of Industrial Design, Georgia Tech McGee's research critically interrogates material production methods in architecture through robotics and digital fabrication, developing novel connections between design, engineering, and manufacturing processes. His work explores spatial-laminated timber systems, geometrically adaptive robotic workflows, and real-time fabrication-aware form finding to create material-efficient architectural solutions. His publications trend toward integrating computational design with physical construction, emphasizing topological optimization, adaptive robotic motion planning, and additive manufacturing techniques that reduce material usage by up to 46% compared to conventional systems. Scientific Awards Architectural League Prize for Young Architects & Designers Design Biennial Boston Award ACADIA Award for Innovative Research Architect Magazine R+D Award (multiple) McGee leads NSF Regional Innovation Engines semifinalist projects including Next-Generation Factory-Built Housing and secures University of Michigan grants for climate action initiatives. His Matter Design studio collaborates with architects, engineers, and artists on exhibitions like Climate Futures and SPLAM, advancing equitable city-making through material innovation. As FABLab Director, he operates a cutting-edge robotics facility where industrial tools are reconfigured for architectural production, mentoring students in courses like ARCH 581 (Advanced Robotics) and ARCH 702 (Robotic Engagement) while pushing boundaries in mass timber and glass fabrication.

Hsiao-Wen Liaoمشاهده پروفایل

استادیار

• Autobiographical Memory
• Episodic Future Thinking
• Adult Development and Aging
• +۷ مورد دیگر

Hsiao-Wen Liao is an **Assistant Professor of Psychology** in the **Adult Development and Aging program** at the **Georgia Institute of Technology**. She holds a Ph.D. in Developmental Psychology from the University of Florida (2017) and completed postdoctoral training at Stanford University’s Center on Longevity. Her research focuses on **autobiographical memory**, **episodic future thinking**, and **meaningful aging**, leveraging **VR and NLP methods** to explore how life experiences shape adult development. She investigates how memory processes interact with sociocultural contexts to foster resilience and continuity across the lifespan. **Research Interests**: Autobiographical memory functions, cognitive aging, intergenerational connectivity, and the role of technology (VR/NLP) in memory reconstruction. Current projects examine VR applications for recollection enhancement and NLP analysis of life narratives. **Awards & Grants**: ISSI Mini Research Grant (2024), College of Sciences Travel Grant (2025), APS Travel Assistance (2025), and ImmerseGT Hackathon Best Use of Omniverse Track (2023). **Lab Members**: Supervises graduate students (DaEun Kim, Sarah Kim, Liam Hart) and collaborates with interdisciplinary teams in HCI and machine learning. Undergraduate assistants focus on neuroscience and psychology interfaces. **Lab Activities**: Janus Lab emphasizes mixed-methods approaches, combining qualitative content analysis with experimental designs. Recent projects address aging well, resilience, and technology-mediated memory interventions.

Youngchan Kimمشاهده پروفایل

مدرس

• Quantum Biology
• Biophotonics
• Bioimaging
• +۳ مورد دیگر

Dr. Youngchan Kim is a Lecturer in Quantum Biology at the University of Surrey , serving as Director of the Quantum Biology Doctoral Training Centre (QB-DTC). He is affiliated with multiple departments including the School of Biosciences, Advanced Technology Institute, and Quantum Sciences Group. PhD in Physics (2011), Korea Advanced Institute of Science and Technology MSc in Physics (2008), KAIST BSc in Physics (2006), Chung-Ang University Graduate Certificate in Learning and Teaching (2022), Advance HE His research focuses on quantum phenomena in biological systems at physiological temperatures, particularly using femtosecond optical spectroscopy and genetically engineered fluorescent proteins to explore evolutionary adaptations and develop quantum-bio-inspired technologies like room-temperature single-photon sources. The 15 most recent publications span quantum biology, biophotonics, and optical spectroscopy, with particular emphasis on quantum coherence in biological systems , terahertz birefringence , fluorescent protein dynamics , and biomedical imaging innovations . These works demonstrate his interdisciplinary approach bridging physics, biology, and medical applications. As QB-DTC Director, he leads transdisciplinary initiatives fostering collaboration between quantum physics and biosciences. His technical expertise includes time-correlated single-photon counting , common-path interferometry , and ultrafast fluorescence depolarization techniques.

Ye Wangمشاهده پروفایل

استادیار

• Political Methodology
• Comparative Politics
• Public Policy
• +۳ مورد دیگر

Ye Wang is an Assistant Professor in the Department of Political Science at the University of North Carolina at Chapel Hill since 2022. He previously held postdoctoral and predoctoral research positions at UC San Diego’s School of Global Policy and Strategy (2020–2022). His research bridges political methodology and comparative politics, focusing on statistical tools for policy spillover effects, research transparency, and social learning under non-democratic regimes. He also explores electoral dynamics in contentious political contexts. Ye earned a PhD in Political Science from New York University (2021), with a committee including Nathaniel Beck, Matthew Blackwell, Adam Przeworski, Cyrus Samii, and Joshua Tucker. He holds an MA in Economics from Peking University (2014) and a BS in Mathematics from Fudan University (2011). He withdrew voluntarily from a concurrent PhD in Economics at the University of Wisconsin-Madison (2014–2015). His research interests emphasize causal inference methodologies and their application to understanding political phenomena in non-democratic settings. He develops statistical techniques to address interference in temporal, spatial, and networked data, while also studying how protests and international tensions impact political systems and scientific collaboration. Recipient of the John T. Williams Dissertation Prize (2020), Chiang Ching-kuo doctoral fellowship (2020), and NYU’s MacCracken fellowship (2015–2020). In advising and teaching, Ye has served as a teaching assistant for courses in political methods, comparative politics, and quantitative methods at NYU and the City University of Hong Kong. He has also taught workshops on quantitative methods at Renmin University and contributed to academic seminars at institutions like Yale and Tsinghua. His programming skills include C++, R, Python, GIS, and Stata, complementing his work in methodological research.

• Finance
• Financial Economics
• Quantitative Finance
• +۳ مورد دیگر

Ke Xu is an Assistant Professor at the Department of Finance, Faculty of Business and Economics, University of Victoria. His research bridges finance, econometrics, and cryptocurrency, focusing on market microstructure, high-frequency trading, and price discovery mechanisms. He has extensively studied Bitcoin ETFs, fractional cointegration models, and machine learning applications in financial markets. Key Research Areas: Market Microstructure High-Frequency Trading Cryptocurrency Dynamics Price Discovery Machine Learning in Finance Financial Econometrics Article Trends: Xu’s work spans empirical analyses of Bitcoin ETFs, volatility modeling (e.g., affine GARCH), and algorithmic trading strategies. His recent papers explore mini flash crashes using machine learning, regulatory impacts on market quality, and sustainable crypto portfolios.

Jay Pujaraمشاهده پروفایل

دانشگاهی

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۵ مورد دیگر

Jay Pujara is a Research Associate Professor in the Department of Computer Science at the University of Southern California (USC), affiliated with the Viterbi School of Engineering and the Information Sciences Institute (ISI). He directs the Center on Knowledge Graphs and leads research in artificial intelligence, specializing in knowledge graph construction, scalable machine learning, and probabilistic models. Education : PhD in Computer Science (University of Maryland, 2016), MS and BS in Computer Science from Carnegie Mellon University (2005 and 2004), with minors in Robotics, Mathematical Sciences, and Logic & Computation. Research Interests : His work focuses on probabilistic models for dynamic data, knowledge graph construction, entity resolution, and applications in NLP and social network analysis. He emphasizes scalable algorithms and real-world impact in domains like finance, climate science, and healthcare. Awards : Includes the SWSA Ten-Year Award (2023), Best Paper Awards at IUI 2019 and ISWC 2013, and grants totaling over $9M from DARPA, NSF, and industry partners. Grants & Mentorship : Principal Investigator on projects like "Artificial Domain-Understanding and Collaborative Agency" (DARPA) and "Explainable and Robust AI Agents" (NSF). Mentored over 50 students in PhD, MS, and undergraduate programs, focusing on knowledge graphs, NLP, and machine learning. Labs & Teams : Leads ISI’s Knowledge Graph and Neurosymbolic AI teams, coordinating the Open Knowledge Network (OKN) and tools like KGTK. Active in academic service, including roles on PhD admissions committees and ISI’s Space Management Committee.

• Public Policy
• Health Economics
• Substance Use
• +۳ مورد دیگر

Ashley Bradford is an Assistant Professor at the School of Public Policy within Georgia Tech's Ivan Allen College of Liberal Arts. Her research focuses on the economics of risky behaviors, substance use, and the impact of public policies on health outcomes in the U.S., particularly examining drug policy innovations and housing policy intersections. She holds a Ph.D. in Public Affairs from Indiana University, an MPA from the University of Georgia, and a B.A. in Sociology from the same institution. Her work bridges policy analysis and health economics, with recent studies addressing opioid reformulations, cannabis legalization effects on mental health treatment, and the interplay between evictions and healthcare outcomes. Her research has been published in high-impact journals such as Health Affairs and JAMA Internal Medicine , and featured in major media outlets like The New York Times and Forbes . Bradford joined Georgia Tech in 2023, continuing her focus on policy interventions to address systemic issues in healthcare access, addiction treatment, and housing stability. Her interdisciplinary approach combines rigorous quantitative analysis with real-world policy applications.

Prashanth Krishnamurthyمشاهده پروفایل

پژوهشگر

• Robotics
• Control Systems
• Cyber-Physical Systems
• +۳ مورد دیگر

Prashanth Krishnamurthy is a Research Scientist in the Department of Electrical and Computer Engineering at New York University Tandon School of Engineering. His research focuses on robotics, control systems, and cybersecurity, particularly in cyber-physical systems such as power grids and embedded devices. He holds a Ph.D. in Electrical Engineering from NYU. Key research areas include hardware security (e.g., detecting Trojans in chips), anomaly detection in critical infrastructure, and resilient control strategies for robotic systems. He has led or contributed to projects funded by the U.S. Department of Energy (DOE), Office of Naval Research (ONR), and others, including the Tracking Real-time Anomalies in Power Systems (TRAPS) initiative and hardware Trojan detection using short-term aging phenomena. Education: Ph.D., Electrical Engineering, NYU His work bridges theoretical advancements and practical implementations, such as developing FPGA-based testbeds for hardware security validation and creating AI-driven cybersecurity tools like the CRAKEN LLM agent. Collaborators include institutions like SRI International, Karlsruhe Institute of Technology, and the NYU Center for Cybersecurity. Grants include a $1.94M DOE grant for TRAPS and a $359K DURIP grant for hardware Trojan detection. His technical contributions span control systems, anomaly detection algorithms, and cybersecurity frameworks for embedded systems. He is actively involved in advancing secure cyber-physical systems through innovations in real-time monitoring, robust control mechanisms, and AI-augmented security solutions.

• Organoid Engineering
• Systems Biology
• Developmental Biology
• +۳ مورد دیگر

Keisuke Ishihara is an Assistant Professor in the Department of Computational and Systems Biology at the University of Pittsburgh School of Medicine. His research focuses on engineering human brain and cardiac organoids using genetic, chemical, and computational approaches to uncover novel regulatory mechanisms and physical principles underlying tissue development. His lab is located at Biomedical Science Tower 3, with an office in room 10020A. Dr. Ishihara holds a PhD in Systems Biology from Harvard University. His work bridges synthetic biology, developmental biology, and biophysics to address fundamental questions in organogenesis and cellular morphogenesis. Recent research highlights include studies on BMP-mediated neural tube patterning in organoids and the biophysical dynamics of microtubule assemblies in large cells. Publications from his lab emphasize interdisciplinary approaches to understand cell size scaling, mitotic spindle dynamics, and self-organization in synthetic tissues. His team has contributed to advancements in organoid technology, uncovering dormant genetic programs and physical principles governing tissue architecture. Laboratory activities are centered at the University of Pittsburgh, collaborating with the School of Medicine's computational and systems biology initiatives. For more details, visit his lab website linked below.

• Labor Economics
• Public Economics
• Health Economics
• +۴ مورد دیگر

Libertad González is an Associate Professor of Economics at Universitat Pompeu Fabra and a researcher at the Barcelona School of Economics (Barcelona GSE). She is affiliated with the Department of Economics and Business, located at the Ciutadella Campus in Barcelona. She holds prestigious research grants, including an ICREA Academia Award and an ERC Consolidator Grant, underscoring her leadership in economic research. Research Interests: Her work spans Labor Economics, Public Economics, and Health Economics, with a strong focus on policy-relevant issues such as reproductive rights, parental leave, gender equality, and the socioeconomic impacts of health policies and pandemics. She uses rigorous empirical methods to evaluate long-term outcomes of social and health interventions. Her recent publications analyze the effects of abortion legalization, paternity leave reforms, and the impact of the Covid-19 pandemic on reproductive health. These studies reflect a consistent theme of evaluating how institutional and policy changes affect individual behavior and long-term socioeconomic and health outcomes, particularly for women and families. Scientific Awards: ICREA Academia Award ERC Consolidator Grant Advising and Grants: While specific students are not listed, she leads major funded research projects, including an ERC Consolidator Grant, which supports independent, high-impact research. Her ICREA Academia award recognizes excellence in both research and teaching, suggesting active mentorship and academic leadership. Labs and Research Teams: She collaborates with leading institutions and researchers across Europe, including the Centre for Economic Performance (LSE) and Nada Es Gratis. She is actively engaged in policy communication, presenting her findings through videos, interviews, and public blogs.

• Innovation Management
• Technology-Driven Innovation
• Digital Innovation
• +۷ مورد دیگر

Tim Schweisfurth is a Full Professor in Organizational Design and Collaboration Engineering at the School of Management Sciences and Technology, Hamburg University of Technology (TUHH), Germany. He previously served as an Associate Professor in High-Tech Business at the University of Twente and in Technology and Innovation Management at the University of Southern Denmark. He received his PhD from TUHH and his venia legendi from the Technical University of Munich (TUM). His research focuses on innovation and entrepreneurship, with key themes including digital and technology-driven innovation, idea generation and evaluation, and distributed and collaborative innovation. His work has been published in leading journals such as Research Policy , Strategic Management Journal , Organization Science , and Creativity and Innovation Management . His recent publications reflect a strong trend in understanding how organizational structures, digital platforms, and user involvement influence innovation outcomes. Topics include internal crowdfunding, idea evaluation biases, user innovation, and Industry 4.0 adoption in SMEs, indicating a deep engagement with both theoretical and applied aspects of innovation management. Editor-in-Chief, Creativity and Innovation Management Advisory Editor, Research Policy He has collaborated with major companies such as Siemens, Osram, Audi, Panasonic, and EWE in both research and consulting. He has advised on innovation strategies and digital transformation, contributing to real-world applications of his research. His work has not explicitly mentioned grants, but his extensive industry collaborations suggest strong project funding and engagement. He leads the research group on Organizational Design and Collaboration Engineering at TUHH, which investigates collaborative innovation, digital platforms, and employee-driven innovation. The team engages in both empirical and theoretical research, often using large datasets and field experiments to understand innovation dynamics in organizations.

• Forensic Psychology
• Personality Disorders
• Narcissism
• +۹ مورد دیگر

Dr. Ava Green is a Lecturer in Forensic Psychology at City, University of London, within the School of Health and Psychological Sciences, Department of Psychology. She completed her PhD in Forensic Psychology at Edinburgh Napier University in 2020 and has held academic positions at Queen Margaret University and Edinburgh Napier University. She is a Chartered Psychologist and a Fellow of the Higher Education Academy. Her educational background includes: PhD in Forensic Psychology, Edinburgh Napier University (2017–2020) MSc in Applied Criminology and Forensic Psychology, Edinburgh Napier University (2015–2016) BSc (Hons) in Psychology, Edinburgh Napier University (2011–2015) Dr. Green’s research focuses on gender differences in personality disorders, particularly narcissism in women, its aetiology, diagnostic assessment, and links to intimate partner violence. She explores how narcissism manifests differently across genders and challenges diagnostic biases in clinical settings. Her work also extends to criminal false confessions and the behavioural manifestations of narcissism in forensic contexts. Her recent publications reveal a consistent focus on narcissism through both empirical research and public engagement. Articles span clinical studies using ICD-11 frameworks, gendered analysis of personality disorders, and accessible commentary in outlets like The Conversation. Her work integrates clinical, forensic, and social psychological perspectives, emphasizing the importance of accurate diagnosis and gender-informed assessment. Her scientific recognition includes: Fellow of the Higher Education Academy Chartered Psychologist, The British Psychological Society Dr. Green is actively involved in teaching and academic leadership, serving as Programme Lead for the BSc Psychology with Criminology and Module Leader for Forensic Psychology. She supervises PhD students and welcomes research collaborations. Her professional experience includes grant acquisition and interdisciplinary research, often in collaboration with international scholars in psychology and psychiatry. She is affiliated with research teams focusing on personality disorders and contributes to academic discourse through book chapters and peer-reviewed journal articles. Her work is supported by a strong foundation in both clinical theory and empirical methodology.

• International Political Economy
• Globalization and Economic Interdependence
• Transnational Regulation
• +۷ مورد دیگر

Abraham L. Newman is a Professor at the Edmund A. Walsh School of Foreign Service and the Government Department at Georgetown University, where he also serves as Director of the BMW Center for German and European Studies. His work bridges political science, international relations, and global regulatory studies, with a focus on the intersection of economic interdependence and political power. PhD in Political Science – University of California, Berkeley MA in Political Science – University of California, Berkeley MA in International Relations – Stanford University BA in International Relations – Stanford University His research centers on globalization, data privacy, financial regulation, and weaponized interdependence . He investigates how transnational networks, particularly in finance and digital infrastructure, are leveraged for geopolitical advantage. His work emphasizes the evolving role of private actors, regulatory institutions, and technological change in shaping international order. Analysis of his recent publications reveals a strong focus on economic statecraft, digital sovereignty, AI governance, and transatlantic regulatory dynamics . Themes such as financial sanctions, data privacy enforcement, and the weaponization of global networks recur across his scholarship, reflecting a cohesive research agenda on power in an interconnected world. While no specific scientific awards are listed in the provided text, his publications in top journals like Science , Nature , International Organization , and World Politics indicate significant scholarly recognition. He has advised or collaborated on major research projects related to transnational regulation, GDPR implementation, and global financial governance . Although no specific grants are listed, his leadership of the BMW Center suggests involvement in externally funded research initiatives. He has also edited or contributed to collaborative academic volumes across institutions such as Princeton and Rice Universities. His leadership of the BMW Center for German and European Studies places him at the center of a research team focused on transatlantic relations, EU policy, and comparative political economy. This center likely supports a network of scholars, students, and visiting researchers engaged in European and global governance studies.

• Fluid Dynamics
• Turbulence
• Heat Transfer
• +۶ مورد دیگر

Andrea Ianiro is a Full Professor in the Aerospace Engineering Department at Universidad Carlos III de Madrid (UC3M), where he leads research in fluid dynamics, turbulence, and heat transfer. His work bridges experimental techniques and machine learning applications for flow analysis and control. He serves as Associate Editor of the International Journal of Heat and Mass Transfer (2025-2028) and directs the EFM Lab (Experimental Fluid Mechanics Laboratory) at UC3M. Professor Ianiro's research focuses on turbulence characterization, boundary layer flows, and the application of machine learning to fluid mechanics problems. His work spans experimental techniques including Particle Image Velocimetry (PIV), infrared thermography, and advanced data processing methods. Recent research emphasizes data-driven approaches for flow field reconstruction, turbulence control, and heat transfer optimization in wall-bounded flows. His projects often combine theoretical, experimental, and computational approaches to address complex fluid mechanics challenges. The analysis of his recent publications reveals a strong trend toward integrating machine learning with traditional fluid mechanics. His work increasingly focuses on using deep learning techniques (particularly CNNs and GANs) for flow field prediction from limited measurements, developing meshless computational methods for flow analysis, and applying optimization techniques (including genetic algorithms) to heat transfer enhancement. His research maintains a strong experimental foundation while embracing data-driven approaches to tackle turbulence modeling challenges. Associate Editor of the International Journal of Heat and Mass Transfer (2025-2028) Professor Ianiro leads multiple significant research projects including SPANDRELS (SParse AND paRsimonious Event-based fLow Sensing, 2025-2030), HumanIC (Human-Centric Indoor Climate for Healthcare Facilities, 2024-2027), and EXCALIBUR (Extraction of machine learning strategies for turbulent flow control, 2023-2026). His work has attracted funding from the European Commission, Spanish National Research Agency, and industry partners including Airbus. He has supervised numerous theses on topics including AI-based sensing of turbulent flows, convective heat transfer control, and turbulent boundary layers. At UC3M, Professor Ianiro directs the Experimental Fluid Mechanics Laboratory (EFM Lab), which focuses on advanced measurement techniques for fluid flow and heat transfer characterization. The lab specializes in PIV/PTV techniques, infrared thermography, and the development of novel experimental approaches for turbulence research. Current research directions include machine learning applications for flow field reconstruction, plasma-based flow control, and heat transfer optimization in complex flow configurations.