جست‌وجوی استاد و پژوهشگر

Hossein Zolfaghariniaمشاهده پروفایل

دانشیار

• Supply Chain Management
• Sustainable Operations Management
• Collaborative Transportation
• +۷ مورد دیگر

Dr. Hossein Zolfagharinia is an Associate Professor in the Department of Global Management Studies at the Ted Rogers School of Management, Toronto Metropolitan University. He holds a PhD in Operations and Supply Chain Management from Wilfrid Laurier University and has a strong academic and professional background in Industrial Engineering and logistics. BSc in Industrial Engineering MSc in Industrial Engineering PhD in Operations and Supply Chain Management, Wilfrid Laurier University His research focuses on Supply Chain Management, Sustainable Operations, Collaborative Transportation, and Green Product Development . He applies advanced operations research and optimization techniques to real-world logistics and sustainability challenges across industries such as trucking, maritime, healthcare, and reverse logistics. His work emphasizes environmental performance, regulatory impacts, and operational resilience. The recent publications reveal a strong trend in integrating sustainability into transportation and supply chain systems, with a focus on green trucking, carbon reduction, healthcare logistics, and reverse supply chains. His methodological expertise lies in robust optimization, scenario-based modeling, and handling uncertainty in dynamic environments. Dean's Scholarly, Research, and Creative Activity Award (2017) TRSM Research Recognition Awards (2018, 2020) Best Paper Award at ASAC (2019) Best Paper Award at RAMS Conference (2020) TRSM Outstanding Research Recognition Funding Awards (seven times) Nominated for CAGS/ProQuest-UMI Distinguished Dissertation (2016) OCE Research Award (2015) Dr. Zolfagharinia has successfully secured over $500,000 in research funding from major agencies including NSERC, SSHRC, FedDev Ontario, and Ontario Centres of Excellence . His grants support innovative work in sustainable logistics, healthcare operations, and supply chain resilience. He has supervised research projects involving PhD students and postdoctoral researchers and has collaborated extensively with industry partners in trucking, logistics, and maritime sectors. He is actively involved in academic and professional communities, presenting at conferences such as INFORMS, DSI, CORS, and ASAC. He also contributes to scholarly discourse through editorial roles, including co-editing a book and authoring a book chapter on facilities location.

Dan Sievenpiperمشاهده پروفایل

استاد

• Artificial Media
• Electromagnetic Structures
• Antennas Design
• +۵ مورد دیگر

Professor Dan Sievenpiper is a faculty member at the University of California San Diego (UCSD) in the Jacobs School of Engineering, Department of Electrical and Computer Engineering. He joined UCSD in 2010 and leads the Applied Electromagnetics Group. His research focuses on artificial media, electromagnetic structures, and antennas, with applications in metamaterials, plasma physics, and topological insulators. He has over 200 publications and 80 patents, and has held roles including Vice Chair of the ECE Department and membership in the UCSD Admissions Committee. Education: B.S. and Ph.D. in Electrical Engineering from UCLA (1994 and 1999) Research Interests: His work spans artificial media, metamaterials, non-reciprocal devices, and time-modulated surfaces. Recent innovations include photonic topological insulators and plasma-based systems. His group explores applications in antennas, wireless communication, and biomedical neuromodulation. Awards: URSI Isaac Koga Gold Medal (2008) IEEE Fellow (2009) John D. Kraus Antenna Award (2019) Advising & Labs: He supervises a dynamic group of graduate students and postdocs, with over 30 alumni in academia and industry. The Applied Electromagnetics Group collaborates with institutions like HRL Laboratories and the Air Force Research Lab. Service: Past roles include Associate Editor of IEEE Antennas and Wireless Propagation Letters, and Chair of the IEEE Antennas and Propagation Symposium (2017).

William Doyleمشاهده پروفایل

استاد

• Higher Education Policy
• Public Policy
• College Access and Completion
• +۷ مورد دیگر

William Doyle is Professor of Public Policy and Higher Education and Department Chair in the Department of Leadership, Policy, and Organizations at Peabody College, Vanderbilt University. His work focuses on the intersection of public policy and higher education systems, particularly at the state level. Research Interests: His primary research areas include college access and completion, community colleges, financial aid, and state and federal education policy. He investigates how geographic variation in higher education opportunity affects civic and economic outcomes, and analyzes the volatility of public funding for higher education across states. Recent Research Trends: His recent publications reveal a strong focus on quantifying the civic and economic returns to higher education, modeling state funding patterns, and assessing college affordability. His work combines policy analysis with advanced statistical methods, including propensity scoring and geographic modeling. Scientific Reports: Throwing Out the “Recession Playbook” for Higher Education: The Need for Joint Federal-State Policy in the Wake of COVID-19 Strategies for Postsecondary Students in Developmental Education–A Practice Guide College Affordability Diagnosis Mapping College Affordability Advising and Grants: While specific students and grants are not listed, his leadership role as department chair and active publication record suggest significant involvement in mentoring graduate students and securing research funding. His collaborations with scholars like Delaney, Skinner, and Zumeta indicate strong research team engagement. Labs and Research Teams: Although no formal lab is mentioned, his research is conducted within the context of higher education policy analysis at Peabody College, likely involving collaborative projects with policy institutes and state-level data initiatives.

Scott T. Doyleمشاهده پروفایل

دانشیار

• Biomedical Image Analysis
• Digital Pathology
• Bioinformatics
• +۷ مورد دیگر

Scott T. Doyle is an Associate Professor in the Department of Pathology and Anatomical Sciences at the Jacobs School of Medicine & Biomedical Sciences, University at Buffalo. His research integrates biomedical imaging, artificial intelligence, and computational pathology to develop quantitative tools for clinical diagnostics and anatomical modeling. Education: PhD in Biomedical Engineering, Rutgers, The State University of New Jersey (2011) BS in Biomedical Engineering, Rutgers, The State University of New Jersey (2006) Optical Microscopy & Imaging in the Biomedical Sciences, Marine Biological Laboratory (2014) hES Stem Cell Culture Training, WNYSTEM (2014) R Bioconductor Training, Roswell Park Cancer Institute (2016) Dr. Doyle’s research focuses on developing AI-driven algorithms for biomedical image analysis, particularly in digital pathology and 3D anatomical modeling. His work spans tumor segmentation, risk prediction in oral and thyroid cancers, and integration of virtual and physical anatomy in medical education. He applies machine learning, deep learning, and computational modeling to enhance diagnostic accuracy and patient outcomes. His recent publications reflect a strong trend in applying artificial intelligence to histopathology, with emphasis on active learning, 3D reconstruction, and multi-institutional data fusion. Key areas include oral cavity cancer recurrence prediction, thyroid cancer subtyping, and computational modeling of surgical margins and anatomical structures. Scientific Service and Recognition: Reviewer for NIH SPORE grants Peer reviewer for journals including Medical Image Analysis , BMC Bioinformatics , IEEE Transactions on Biomedical Engineering Program Committee and Session Chair, SPIE Medical Imaging: Digital Pathology (2016–present) Member, Graduate Program Steering Committee, Pathology & Anatomical Sciences Mentor, McNair Scholarship and CSTEP programs for underrepresented students Dr. Doyle has secured significant research funding as Principal Investigator on NIH and CTSI grants, including a $2M+ NIH grant for predicting oral cancer recurrence. He has also contributed to educational innovation through hybrid anatomy curriculum development and AI training for pathologists. He leads the 'Atoms to Anatomy' research initiative and is active in strategic planning at the Jacobs School. Laboratories and Collaborative Teams: Dr. Doyle collaborates with the Center for Computational Research (CCR) and is involved in the Structural Sciences Learning Center (SSLC). He has led projects with teams at Ibris, Inc., Veterans Affairs Hospital, and Mount Sinai School of Medicine.

• Computational Chemistry
• Computer-Aided Drug Design
• Cheminformatics
• +۱۲ مورد دیگر

Andrea Volkamer is a computational chemist and active principal investigator in the field of computer-aided drug design (CADD), with a focus on kinase targets, druggability prediction, and machine learning applications. She has published extensively in journals such as the Journal of Chemical Information and Modeling and Journal of Medicinal Chemistry , with recent work up to 2025 indicating an ongoing academic research program. Her research group, referred to as 'volkamerlab,' develops open-source tools including DoGSite, KiSSim, KinFragLib, and TeachOpenCADD, which are widely used in both academic and industrial drug discovery settings. Her research interests span computational drug discovery , structural bioinformatics , kinase inhibitor design , off-target and polypharmacology prediction , and educational platforms for CADD . She emphasizes open science and reproducibility, particularly through the TeachOpenCADD initiative, which provides interactive Jupyter Notebooks and KNIME workflows for teaching cheminformatics concepts. The 15 most recent publications reflect a strong trend toward integrating machine learning and deep learning (e.g., transformers, graph neural networks) with structure-based methods such as molecular docking, free energy calculations, and binding site comparison. Her work increasingly addresses real-world challenges in drug discovery, including kinase mutation resistance, selectivity optimization, and in vivo toxicity prediction using conformal and hybrid models. Scientific Contributions and Awards: Development of key computational tools: DoGSite, KiSSim, KinFragLib, TeachOpenCADD. Leadership in open-source and open-education initiatives in cheminformatics. Active publication record in top-tier journals with interdisciplinary impact. Advising and Grants: While specific student names and grant details are not mentioned in the provided text, her role as a corresponding author on numerous publications and the existence of a dedicated research lab ('volkamerlab') imply that she mentors students and postdoctoral researchers. She likely secures competitive funding to support her research in computational drug discovery and method development. Labs and Teams: She leads the Volkamer Lab ('volkamerlab'), which focuses on developing and applying computational methods for drug discovery. The lab collaborates with both academic and pharmaceutical partners and emphasizes open-source software development and educational outreach.

• Medical Education
• Primary Care
• Women in Medicine
• +۷ مورد دیگر

Rebecca Berman, MD , is a Professor in the School of Medicine at the University of California, San Francisco (UCSF) , where she serves as the Internal Medicine Residency Program Director. She plays a national leadership role in medical education and residency training reform. Education: AB in African-American Studies, Harvard College, 1999 MD, Harvard Medical School, 2005 Primary Care Internal Medicine Residency, Brigham and Women's Hospital, 2008 Diversity, Equity, and Inclusion Champion Training, UCSF, 2018 Research and Professional Interests: Dr. Berman’s work focuses on medical education , primary care innovation , diversifying the physician workforce , curricular design , negotiation skills training , women in medicine , and care for the underserved . She has pioneered initiatives to improve equity and leadership opportunities for underrepresented groups in medicine. Publication Trends: Her scholarly work spans over 15 years and includes key contributions to residency education, gender equity, health disparities (particularly in prostate cancer), and innovative teaching models. Recent publications emphasize pandemic recovery in medical training, bias reduction in residency selection, and leadership challenges for women in medicine. Scientific Awards and Honors: Inducted into the Haile T. Debas Academy of Medical Educators, UCSF (2022) Kanu Chatterjee, MD Medicine Residency Endowed Chair, UCSF (2024) Leadership and Teaching: Dr. Berman is a national leader in residency education, serving as a Councilor for the Association of Program Directors in Internal Medicine (APDIM), co-founding its Primary Care Program Director Group, and editing the widely used Primary Care Toolkit. She teaches negotiation skills to promote equity in academic medicine. She led the overhaul of UCSF’s internal medicine residency curriculum to enhance individualized training and resident well-being, especially during the pandemic. Labs and Teams: She founded the Crimson Care Collaborative (CCC) during her tenure at Harvard/Mass General, a student-faculty network providing primary care to underserved populations while offering interprofessional training. At UCSF, she leads one of the nation’s premier internal medicine residency programs, shaping the next generation of physicians.

Wolfgang Steinerمشاهده پروفایل

پژوهشگر ارشد

• Beta expansions
• Continued fractions
• Numeration systems
• +۳ مورد دیگر

Wolfgang Steiner is a Research Fellow at the Centre National de la Recherche Scientifique (CNRS) working at the Institut de Recherche en Informatique Fondamentale (IRIF), Université Paris Cité since 2005. His affiliations include membership in the Automata & Applications and Combinatorics research groups. Previously, he held visiting positions at Graz University of Technology and Macquarie University. Education: Habilitation à diriger des recherches en informatique, Université de Paris (2021) Ph.D. in Technology, TU Wien (2002) Master's degree (Dipl.-Ing.), TU Wien (2000) Engineering degree, École Centrale Paris (2000) Steiner's research focuses on numeration systems, including beta expansions and continued fractions, with significant work on Rauzy fractals, tilings, and combinatorics on words. His investigations bridge dynamical systems, fractal geometry, and theoretical computer science, exploring the algorithmic and structural properties of number representations. His publications demonstrate a consistent focus on dynamical approaches to numeration, with recent work expanding into multidimensional continued fractions, S-adic systems, and fractal geometry. The articles show strong interdisciplinary connections between number theory, combinatorics, and symbolic dynamics. Research projects: ANR/FWF SymDynAr (2024-present) ANR IZES (2022-present) ANR CODYS (2018-2023) ANR Dyna3S (2013-2018) ANR/FWF FAN (2013-2017) Coordinator of ANR DyCoNum (2006-2010) Steiner leads the One World Numeration Seminar (since 2020) and previously organized the Automata seminar at IRIF (2012-2017). He collaborates with international research teams across Europe and Australia on projects involving dynamical systems and number theory.

• Operations Research
• Market Design
• Algorithmic Game Theory
• +۳ مورد دیگر

Pengyu Qian serves as an Assistant Professor in the Department of Operations and Technology Management at Boston University's Questrom School of Business, where he conducts research at the intersection of operations research, economics, and algorithmic systems design. Education PhD, Graduate School of Business, Columbia University, 2021 B.Sc., Peking University, 2015 Research Interests Dr. Qian specializes in theoretical and applied problems within matching markets, dynamic resource allocation, and queueing network optimization. His work develops algorithmic solutions for market inefficiencies using tools from game theory, stochastic modeling, and mechanism design. Current investigations focus on partner competition dynamics in two-sided markets, incentive structures for resource pooling, and blind control policies in closed networks where system states remain partially observable. Publication Trends His 2018-2024 publications demonstrate consistent output in top-tier venues including Management Science and ACM Economics & Computation conferences, with increasing emphasis on real-world market applications. The research trajectory shows progression from foundational queueing network control to sophisticated matching market analyses, maintaining strong theoretical rigor while addressing practical constraints like information asymmetry and dynamic partner competition. Scientific Awards No scientific awards, fellowships, or major honors are documented in the available profile information. Advising and Grants While specific student advisees and grant funding details are not disclosed in the current materials, Dr. Qian's publication record suggests active collaboration with leading researchers including Yash Kanoria and Itai Ashlagi, indicating participation in significant research initiatives within operations management and market design. Labs and Teams Though no dedicated laboratory is specified, his research profile aligns with Boston University's operations management research groups at Questrom, particularly those focused on algorithmic market design and stochastic optimization within business contexts.

Sophie H. Yuمشاهده پروفایل

استادیار

• Operations Research
• Applied Probability
• High-Dimensional Statistics
• +۴ مورد دیگر

Sophie H. Yu is an Assistant Professor of Operations, Information and Decisions at the Wharton School of Business, University of Pennsylvania. She completed her postdoctoral work in the Department of Management Science and Engineering at Stanford University before joining Wharton. Her academic journey includes a Ph.D. in Decision Sciences from the Fuqua School of Business at Duke University (2023), an M.S. in statistical and economic modeling from Duke University (2017), and a B.S. in Economics from Renmin University of China (2015). Ph.D. in Decision Sciences, Fuqua School of Business, Duke University (2023) M.S. in Statistical and Economic Modeling, Duke University (2017) B.S. in Economics, Renmin University of China (2015) Sophie's research focuses on high-dimensional statistics, algorithm design, and performance evaluation in large-scale networks and stochastic systems . Her work draws inspiration from real-world business, engineering, and natural sciences problems that can be modeled into large and complex networks. She has explored fundamental limits and efficient algorithms on graph matching, online platform policy design with bounded regret, and data confidentiality protection. Her research spans the intersection of operations research, applied probability, statistics, and computer science, with particular emphasis on network science and information theory. Sophie's publications demonstrate a strong focus on matching problems in networks, with significant contributions to understanding random graph matching, network correlation testing, and online matching algorithms. Her work shows a progression from fundamental theoretical questions to practical applications in resource allocation and market design. Recent papers indicate increasing focus on practical implementations of theoretical concepts in real-world matching markets. Thomas M. Cover Dissertation Award from IEEE Information Theory Society (2024) Best Dissertation Award from Fuqua George Nicholson Student Paper Competition finalist, INFORMS 2022 Sophie has been actively involved in academic service, presenting her work at numerous prestigious institutions including University of Texas at Austin, University of Toronto, London School of Business, and MIT. She has taught graduate courses in decision modeling and served as a teaching assistant for various statistics and operations courses during her doctoral studies at Duke University. Her research has been supported through academic appointments and likely research grants related to her work in network science and matching algorithms.

Adam Kellyمشاهده پروفایل

دانشیار

• Youth Sport Development
• Talent Identification
• Athlete Development
• +۴ مورد دیگر

Adam Kelly serves as Associate Professor of Sport and Exercise and Course Leader for the Professional Doctorate in Sport (DSport) at Birmingham City University's Faculty of Health, Education and Life Sciences. He directs the BCU Research for Athlete and Youth Sport Development (RAYSD) Lab and holds accreditations as Senior Fellow of the Higher Education Academy (SFHEA), BASES CSci, and FA UEFA A Licenced Coach. His educational foundation includes a PhD from the University of Exeter, built upon seven years as Head of Academy Sport Science at Exeter City Football Club following his non-league playing career. Professor Kelly's research critically examines organizational structures in youth sport to optimize athlete development pathways and foster inclusive environments. His work spans cricket, rugby, soccer, squash, and swimming, with emphasis on talent identification systems, relative age effects, and equity in sport. International collaborations with partners like Queen's University (Canada) and global sports organizations drive practical applications for evidence-based policies. Analysis of his 100+ publications reveals sustained focus on relative age effects across sports (2022-2025), evolving toward actionable interventions like birthday-banding and flexible chronological approaches. Recent work increasingly addresses inclusivity for underrepresented groups in cricket/soccer and post-pandemic adaptation strategies. His scientific recognition includes: Senior Fellow of the Higher Education Academy (SFHEA) Professor Kelly mentors four embedded PhD students (Shanmugaratnam, Lux, Shafi, Green) within FIFA/ECB/KNVB projects while having graduated five PhDs now in prominent roles. His £1m+ research funding supports industry-academia partnerships that transform talent development practices globally. The RAYSD Lab under his leadership facilitates transnational knowledge exchange through initiatives like the HELS Go Abroad Scheme, connecting UK students with Canadian researchers while driving real-world impact through projects like the BESTA Cricket Partnership and KNVB Relative Age Solutions.

Ellen Peetersمشاهده پروفایل

دانشیار

• Health & Education
• Management & Organisation
• Quantitative Methods
• +۴ مورد دیگر

Dr. Ellen Peeters is an Associate Professor at the TIAS School for Business and Society , where she has served as Academic Director of the Pre-Master program since January 2022. She obtained her education in work and organizational psychology from: Ghent University (Belgium) KU Leuven (Belgium) - Ph.D. (2016) Her research integrates individual and organizational perspectives, with core themes including: Health & Education : Workforce well-being in healthcare settings. Management & Organisation : Change Management and HRM implementation Organizational Behavior and Development Leadership and Strategic Management Quantitative Methods : Business research methodologies. Cross-cutting focus on Corporate Social Responsibility , Sustainable Careers , Employability , and Resilience during organizational transitions. Her publications demonstrate consistent emphasis on career dynamics, HRM practices, and organizational justice, using mixed methods across healthcare, entrepreneurship, and industrial contexts. Recent work highlights resilience in career shocks, nursing self-scheduling impacts, and social capital in supply chains. She holds key academic roles: Editorial Board Member: Journal of Career Development Committee Representative: Society for Industrial and Organizational Psychology (Disability, Inclusion, Accessibility & Visibility)

Brian Kovakمشاهده پروفایل

دانشیار

• Economics
• Public Policy
• International Migration
• +۳ مورد دیگر

Brian Kovak is an Associate Professor of Economics and Public Policy at Carnegie Mellon University's Heinz College of Information Systems and Public Policy. He holds the Dean's Career Development Professorship at Heinz College and maintains significant affiliations as a Faculty Research Fellow at the National Bureau of Economic Research (NBER) and a Research Fellow of the Institute for the Study of Labor (IZA). His scholarly contributions reach across multiple institutions and academic journals, reflecting his prominence in the field of labor economics and international trade. Ph.D., Economics, University of Michigan Master of Public Affairs, Indiana University B.S., Computer Engineering, Penn State University Brian Kovak's research examines the economic effects of international migration and trade with a focus on local labor markets. His work investigates how worker mobility responds to local labor market conditions, particularly the role of immigrants' geographic mobility in equalizing wage differences for native-born workers across U.S. local labor markets. He also studies the local labor market effects of trade liberalization, developing theoretically motivated empirical approaches based on specific-factors models of local economies. His research spans multiple countries, including extensive work using household survey and matched employer-employee data from Brazil to study the effects of liberalization on wages, employment, informality, and the skill premium. Analysis of Kovak's recent publications reveals a consistent focus on how migration and trade policies affect local labor market dynamics. His work demonstrates sophisticated methodological approaches that bridge theoretical economic models with empirical evidence from diverse contexts. The research shows particular attention to how economic shocks transmit across regions through migration networks and how trade liberalization affects different segments of the workforce. His publications in top economics journals demonstrate the significance of his contributions to understanding the intersection of international economics and labor market outcomes. IZA Young Labor Economist Award (2014) for best peer-reviewed journal publication in labor economics by authors under age 40 Beyond his research, Kovak serves as an Associate Editor of the Journal of Development Economics, contributing to scholarly discourse in his field. His work has attracted significant funding, including NSF grants (award #1851679) for research on wage insurance for displaced workers and another NSF grant (award #1854051) on emerging technologies, labor outcomes, and policy responses. His research has garnered substantial attention from both academic and policy communities, with coverage in major media outlets including the New York Times, Financial Times, Wall Street Journal, and Washington Post. Kovak's scholarly impact extends through his collaborations with numerous researchers across institutions, creating a substantial body of work that informs both academic understanding and policy development in international economics and labor markets.

• Machine Learning
• Computer Vision
• Artificial Intelligence
• +۳ مورد دیگر

Prof. Tomaso Fontanini is a researcher at the Department of Engineering and Architecture, University of Parma. His academic contributions span multiple disciplines, including computer science, artificial intelligence, and computer vision. 2025/2026: Deep Learning and Generative Models (Master's in Computer Engineering) 2024/2025: Processing Systems (Bachelor's in Prevention Techniques) 2023/2024: Processing Systems (Bachelor's in Prevention Techniques) 2022/2023: Processing Systems (Bachelor's in Prevention Techniques) Research Focus: His work primarily explores generative models, image synthesis, and style transfer with a strong emphasis on semantic control and attention mechanisms. Recent research has advanced state space models for efficient style transfer (Mamba-ST), semantic image synthesis via class-adaptive cross-attention, and diffusion model acceleration through U-shape architectures. Scientific Contributions: Publications include breakthroughs in controllable face synthesis, mask-based generative modeling, and video anomaly detection. His work bridges theoretical advancements in neural architectures with practical applications in remote sensing and educational technology. 2025: FLAV (audio-video generation), Swin2-MoSE (remote sensing) 2024: MARS (text-based person search), MCGM (mask conditioning) 2023: FrankenMask (face part editing), Student attendance systems

Kevin Hongمشاهده پروفایل

استاد

• Information Systems
• Online Platforms
• Privacy Design
• +۴ مورد دیگر

Kevin Hong is a Professor and Miami Herbert Centennial Endowed Chair at the University of Miami's Miami Herbert Business School , where he also serves as Associate Dean for Research. His work focuses on information systems and digital platform design. Current roles: Professor, Centennial Endowed Chair, Associate Dean for Research Email: yxh1034@miami.edu ORCiD: 0000-0002-0577-7877 Research Interests: Kevin Hong's work explores digital privacy, user engagement, and behavioral economics across online platforms. His studies examine: Temporal cues in online learning environments Privacy-enhancing designs in dating applications AI implementation in customer service Content generation incentives in knowledge platforms Labor dynamics in gig economy marketplaces Publication Trends: Recent studies demonstrate expertise in field experimentation, behavioral analytics, and platform economics. Key methodologies include: Randomized controlled trials Difference-in-differences modeling Large-scale observational studies

Nina Huangمشاهده پروفایل

استاد

• Human-AI Interaction
• Online Education and Knowledge Exchange
• Online Matching Platforms
• +۵ مورد دیگر

Nina Huang is a Professor in the Business Technology Department at the Miami Herbert Business School, University of Miami. Her research spans the intersection of information systems, digital platforms, and human behavior in online environments. Her primary research interests include Human-AI Interaction, Online Education and Knowledge Exchange, Online Matching Platforms, Online Healthcare, Future of Work, Social Media Analytics, Digital Commerce, and Online Content Platforms. Dr. Huang employs experimental methods to investigate how digital design features impact user behavior across various online contexts including dating platforms, labor markets, e-commerce, and healthcare systems. Analysis of Dr. Huang's recent publications reveals a strong focus on human-centered design of digital platforms, with particular attention to temporal cues in online learning, privacy-enhancing designs in social platforms, AI implementation in customer service, and information disclosure mechanisms in matching markets. Her work consistently combines rigorous experimental methodologies with practical implications for platform design. Dr. Huang's research has been published in top-tier information systems and operations management journals including Information Systems Research, MIS Quarterly, and Production and Operations Management. Her work demonstrates a pattern of impactful field experiments conducted in partnership with real-world platforms across multiple industries.