جستجوی استاد راهنمای دانشگاهی

Diyi Yangمشاهده پروفایل

استادیار

• Computational Social Science
• Natural Language Processing
• Socially Aware NLP
• +۴ مورد دیگر

Dr. Diyi Yang is an Assistant Professor in the Computer Science Department at Stanford University. She leads the Social and Language Technologies (SALT) Lab, affiliated with the Stanford NLP Group, Stanford HCI Group, Stanford AI Lab (SAIL), and Stanford Human-Centered Artificial Intelligence (HAI). Her research focuses on socially aware natural language processing, large language models (LLMs), and human-AI interaction, aiming to improve human-human and human-computer communication through socially grounded AI systems. Education: Ph.D. in Language Technologies Institute, Carnegie Mellon University (2013–2019) B.S. in ACM Honored Class, Shanghai Jiao Tong University (2009–2013) Research Interests: Dr. Yang’s work bridges computational social science and NLP. She explores how AI can understand social contexts in language use and develop systems that respect cultural norms, ethical standards, and human values. Her lab’s projects include AI companions for skill training (e.g., Rehearsal Dialects), norm-aware LLMs (NormBank), and frameworks for human-AI collaboration (Co-Gym). Recent efforts address bias in AI, societal impacts of LLMs, and ethical evaluation of human-AI systems. Awards & Honors: 2024: Sloan Research Fellowship, ONR Young Investigator Award 2023: Adamic-Glance Young Distinguished Award (ICWSM), Kavli Fellow (NAS) 2022: NSF CAREER Award, Microsoft Research Faculty Fellow 2020: IEEE AI’s 10 to Watch Advising & Grants: Dr. Yang advises over 10 PhD students and postdocs, co-leading projects on LLM evaluation (SWE-bench/SWE-smith), human-AI ethics, and culturally aware NLP. Her research is supported by NSF, Amazon, DARPA, Google, and Stanford’s HAI initiative. Labs & Teams: The SALT Lab collaborates across disciplines, with projects spanning computer science, linguistics, and social sciences. Current initiatives include developing AI tools for mental health support (AI Partner & Mentor) and auditing societal impacts of LLMs.

Anna S. Mattilaمشاهده پروفایل

استاد

• Social Media
• Service Recovery
• Servicescape
• +۸ مورد دیگر

Anna S. Mattila is the Marriott Professor of Lodging Management and serves as Professor-in-Charge of the Graduate Program at the School of Hospitality Management, Pennsylvania State University. Her research spans social media, service recovery, servicescape, prosocial behaviors, cross-cultural studies, and wellness in hospitality contexts. Education : B.S. and Ph.D. from Cornell University, M.B.A. from University of Hartford Mattila's work examines how emotions, cultural norms, and technological innovations like AI influence consumer decisions in hospitality. Her studies cover topics from robotic service interactions to sustainable food marketing and moral psychology in tourism. She has published extensively in journals such as International Journal of Hospitality Management and Journal of Consumer Marketing . Her recent articles focus on AI integration in hospitality, consumer trust in virtual influencers, upcycled food adoption, and the psychological effects of servicescape design. Key themes include ethical consumption, digital transformation, and cross-cultural consumer behavior. Advising : Supervised Anqi Luo's dissertation on service recovery in 2022 Mattila's office is located in 224 Mateer Building, University Park, PA. She contributes to advancing hospitality research through methodological consulting and the Penn State Biomarker Core Laboratory.

Ram Rajagopalمشاهده پروفایل

دانشیار

• Smart Grids
• Renewable Energy Integration
• Power Systems Optimization
• +۳ مورد دیگر

Ram Rajagopal is an Associate Professor of Civil and Environmental Engineering and Electrical Engineering at Stanford University, and a Senior Fellow at the Precourt Institute for Energy. He leads the Stanford Sustainable Systems Lab (S3L), focusing on large-scale monitoring, data analytics, and stochastic control for infrastructure networks, particularly power systems. His research emphasizes renewable energy integration, smart distribution systems, and demand-side data analytics. Education: PhD in Electrical Engineering and Computer Sciences & MA in Statistics (UC Berkeley), MS in Electrical and Computer Engineering (UT Austin), and BEng in Electrical Engineering (Federal University of Rio de Janeiro). Research interests include power grid optimization, renewable energy systems, and data-driven approaches to infrastructure challenges. He has pioneered work in grid flexibility, distributed energy resources, and machine learning applications for energy systems. His lab develops technologies like Smart Dim Fuses and the EV-EcoSim platform for EV charging infrastructure optimization. Received NSF CAREER Award, Powell Foundation Fellowship, and Berkeley Regents Fellowship Over 30 patents and best paper awards Advises/founded companies in sensor networks, power systems, and data analytics Labs/Teams: Stanford Sustainable Systems Lab (S3L), Powernet Project. His work spans grid resilience, energy equity, and scalable energy solutions.

Joel Gohمشاهده پروفایل

دانشیار

• Health services and systems
• Transportation, logistics and supply chains
• Operations research
• +۶ مورد دیگر

Joel Goh is Associate Professor at the Department of Analytics and Operations, NUS Business School, National University of Singapore. He serves as Director of the J.Y. Pillay Comparative Asia Research Centre (under NUS Global Asia Institute) and PhD Program Director at the Institute of Operations Research and Analytics (IORA). Previously, he was Assistant Professor at Harvard Business School (2014-2017) and Visiting Scholar (2017-2022). BSc, MSc, PhD in Operations, Information, and Technology from Stanford University His research focuses on healthcare analytics (preventing health conditions, hospital operations, frailty assessment), supply chain analytics (digital business models, platform leakage), and service platform operations (hospital-at-home programs, incentive design). He co-created the Robust Optimization Made Easy (ROME) software. Recent publications analyze workplace psychological safety (2024), hospital-at-home models (2024), and platform leakage dynamics (2023). His work spans 18+ journals with 740+ citations for burnout cost studies (2022) and 606+ citations for physician well-being research (2017). Teaching Honors : 2023: Best MBA Teaching & Skinner Innovation Award 2021: NUS Annual Teaching Excellence Award 2020: Early Career Research Excellence Award & 40 Under 40 Best MBA Professors Advising & Grants : Served as PhD Program Director. Received NUS Start-Up Grant R-314-000-110-133 (2021) and Humanities & Social Sciences Fellowship (2021). Editorial roles include Associate Editor at Management Science , Manufacturing & Service Operations Management , and Senior Editor at Production and Operations Management .

• Tourism Economics
• Sustainable Tourism
• International Business
• +۳ مورد دیگر

Dr. Juan Manuel Berbel Pineda is a full Professor at the Department of Business Organization and Marketing at Universidad Pablo de Olavide, Spain. His academic work focuses on tourism economics, sustainable tourism practices, and international business strategies, particularly within the hotel industry and textile sector. Key research areas: Tourism Economics, Sustainable Tourism, International Business Strategy Affiliated with IMEGS (Innovation and Marketing for a Sustainable Global Environment) research group Doctoral Programs: Innovation, Entrepreneurship and Family Business His research explores tourism competitiveness and internationalization patterns through empirical studies on hotel chains in Latin America, fair trade impacts in emerging economies, and post-COVID-19 rural tourism development. Analysis of 15 recent publications reveals strong emphasis on structural equation modeling, cross-cultural comparisons, and market segmentation strategies. Current academic activity includes international collaborations with institutions like Massey University, Varna University of Management, and University of Mauritius. His 2020 work on Ecuadorian chia seed exports demonstrates methodology for EU market selection using 7-dimensional indicators, while his sustainable tourism studies provide frameworks for pandemic-era tourism revival through non-overcrowding strategies.

Janna Parkerمشاهده پروفایل

استاد

• Retailing
• Digital Marketing
• Advertising
• +۴ مورد دیگر

Janna Parker is a professor in the Department of Marketing at James Madison University, specializing in digital marketing, retailing, and nonprofit marketing. With a career transition from political campaigns, she focuses on social media's role in personal and professional branding. Her research examines work-personal social media boundaries, employer governance policies, and volunteerism in nonprofit contexts. Education: Bachelor's in History (California State University Sacramento), Master's (Cameron University), Doctorate (Louisiana Tech) Teaching Interests: Digital marketing education, social media strategy, nonprofit marketing Her scholarly work spans social media governance, volunteer engagement, and retail dynamics, with recent emphasis on digital marketing pedagogy and cancel culture implications. Parker has contributed to academic journals through empirical studies and conceptual commentaries. Key article trends include: Digital marketing education evolution (2024) Social media governance in corporate and nonprofit contexts (2024) Online teaching satisfaction in higher education (2022) Volunteer brand community dynamics (2020) Consumer behavior frameworks (2019) Her media appearances include expert commentary on holiday retail strategies and social media research, reflecting practical applications of her academic work.

Michael McAlpineمشاهده پروفایل

استاد

• 3D Printing
• Nanotechnology
• Biomedical Engineering
• +۴ مورد دیگر

Michael McAlpine is a Professor in the Mechanical Engineering department at the University of Minnesota . He also holds affiliations with the Biomedical Engineering and Electrical and Computer Engineering departments. His research focuses on 3D printing functional materials & devices , Nanoscale inks , Biomedical devices , Bioelectronics , and Flexible Microsystems . Research Interests : 3D Printing, Biomedical Engineering, Nanotechnology, Flexible Electronics, Microfluidics Labs : ME 361/363 Contact : mcalpine@umn.edu , (612) 626-3303, ME 117 Recent Research Trends include 3D Printed Biomedical Devices , Flexible Electronics , and Bioprinting Applications . His work spans from Spinal Organoid Formation to Programmable Drug Release Capsules . Scientific Award : Circulation Research 2020 Best Manuscript Award

• Behavioral Economics
• Intertemporal Choice
• Risky Choice
• +۲ مورد دیگر

Charles D. Sprenger is a Professor of Economics at the California Institute of Technology (Caltech), where he has served since 2020 and held the position of Executive Officer from 2022 to 2025. He is affiliated with Caltech's Division of the Humanities and Social Sciences (HSS) and holds key roles at the Ronald and Maxine Linde Institute of Economic and Management Sciences and the Center for Theoretical and Experimental Social Sciences (CTESS). His external appointments include Board of Editors for the American Economic Review and Associate Editor roles for the Journal of the European Economic Association and Quantitative Economics . His educational background includes a B.A. from Stanford University (2002), an M.Sc. from University College London (2005), and a Ph.D. from the University of California, San Diego (2011). These credentials established his foundation in economic theory and experimental methodology. Sprenger is a leading behavioral and experimental economist specializing in intertemporal decision making and choices under uncertainty. His research designs innovative experiments across diverse contexts—from food deserts in the United States to polio vaccination drives in Pakistan—to test the validity of standard economic models. His work consistently reveals significant deviations from rational choice theory, particularly regarding time inconsistency, risk preferences, and reference-dependent behaviors. He has pioneered methods for measuring time preferences and testing cumulative prospect theory, with implications for public policy and behavioral interventions. Analysis of his 15 most recent publications (2015-2024) shows a cohesive research program centered on behavioral anomalies in decision making. His work bridges laboratory precision with real-world field applications, demonstrating how psychological factors like procrastination and loss aversion manifest in high-stakes environments. Key trends include the development of tailored incentive structures, validation of rank-dependent utility models, and exploration of dynamic inconsistency across domains including health, finance, and public policy. His notable recognition includes: Sloan Foundation Fellowship (2016-2018) Sprenger actively contributes to the academic community through editorial leadership and collaborative research. His work has been featured in Caltech news for projects like "Reducing Procrastination with Tailored Incentives" (2023) and the graduate summer program "Experimental Economics in Theory and Practice" (2023). Though specific advisees aren't listed, his teaching of advanced courses like Experimental Economics (SS 212 abc) indicates mentorship of graduate researchers. He secures significant research funding through fellowships and institutional support, enabling large-scale field experiments. As a core member of CTESS, Sprenger leads a multidisciplinary team conducting cutting-edge experimental economics research. His lab integrates theoretical modeling with empirical validation, focusing on how behavioral insights can improve policy design in areas like tax compliance, vaccination programs, and financial decision making. Current work emphasizes scalable interventions for procrastination and preference-based incentive customization.

Pol Antràsمشاهده پروفایل

استاد

• International Economics
• Applied Theory
• Global Value Chains
• +۳ مورد دیگر

Pol Antràs serves as the Robert G. Ory Professor of Economics at Harvard University, where he has been a faculty member since 2003. He holds significant research affiliations as a Research Associate at the National Bureau of Economic Research (NBER), where he directed the International Trade and Organization Working Group, and as a Research Affiliate at the Centre for Economic Policy Research (CEPR). He also contributes to the Barcelona School of Economics as a member of its Scientific Council. His academic foundation includes a BA and MSc in Economics from Universitat Pompeu Fabra in Barcelona and a PhD in Economics from MIT (2003). Antràs specializes in international economics and applied theory, with recent research focusing on global value chains, the interplay between globalization and interest rates, market power in global markets, and international relations. His work examines how firms organize cross-border production, the implications for trade policy, and the structural transformations in international trade following events like pandemics. He bridges rigorous theoretical modeling with empirical analysis to address contemporary economic challenges. His publication record reveals a sustained focus on the evolution of global trade architecture, particularly the rise of production networks and their vulnerability to disruptions. Recent work explores unconventional intersections such as monetary policy's impact on trade flows and the political economy of ideology-driven foreign influence. His major scientific distinctions include: Alfred P. Sloan Research Fellowship (2007) Fundación Banco Herrero Prize (2009) Fellow of the Econometric Society (2015) Member of the American Academy of Arts and Sciences (2024) As Editor of the Quarterly Journal of Economics (2015-2020) and contributor to multiple editorial boards, Antràs shapes scholarly discourse in economics. His research is institutionally supported through NBER and CEPR affiliations, though specific grant details aren't publicly itemized. He maintains an active role in mentoring graduate students at Harvard. He drives collaborative research through leadership in the NBER's International Trade and Organization Working Group and CEPR's research networks, fostering international scholarly exchange on trade and globalization.

Andrea Bajcsyمشاهده پروفایل

استادیار

• Robotics
• Artificial Intelligence
• Reinforcement Learning
• +۷ مورد دیگر

Andrea Bajcsy serves as an Assistant Professor in the Robotics Institute and School of Computer Science at Carnegie Mellon University, leading the Interactive and Trustworthy Robotics Lab (Intent Lab). Her work focuses on enabling robots to safely interact with open-world environments through novel algorithms in control theory and machine learning. Her educational background includes a Ph.D. in Electrical Engineering & Computer Science from UC Berkeley under Anca Dragan and Claire Tomlin, followed by a postdoctoral position with Jitendra Malik and industry experience at NVIDIA's Autonomous Vehicle Research Group. Research centers on quantifying robot confidence, computing safe interaction policies for nuanced hazards (tearing, spilling, breaking), and aligning AI with human values. Key methodologies integrate optimal control, reinforcement learning, dynamic game theory, and deep learning, applied to robotic arms, quadrotors, quadrupeds, and autonomous vehicles. Core areas include safety for physical human-robot interaction, robot learning for manipulation, and world modeling. Recent publications (2024-2025) reveal a concentrated effort on uncertainty-aware safety mechanisms, out-of-distribution adaptation, and language-based safety specification. Her work increasingly bridges conformal prediction with interactive learning while leveraging vision-language models for real-time policy steering, as evidenced by multiple CoRL, RSS, ICRA, and ICLR acceptances. Scientific Awards: NSF CAREER Award (2025) Advises four active PhD students (Kensuke Nakamura, Ravi Pandya, Junwon Seo, Yilin Wu) and leads research funded by the NSF CAREER grant. Organizes community initiatives including the Northeast Systems and Control Workshop and ICRA workshops on Safely Leveraging VLMs in Robotics and Public Trust in Autonomy. Directs the Intent Robotics Lab, which develops theoretical frameworks and practical implementations for open-world robot safety. The lab maintains strong industry ties through NVIDIA collaborations and emphasizes real-world deployment across multiple robotic platforms.

Erik Bohlinمشاهده پروفایل

استاد

• Telecommunications Policy
• Digital Economy
• Regulatory Economics
• +۴ مورد دیگر

Erik Bohlin is a Professor at Western University's Ivey Business School in the Business, Economics and Public Policy department. He holds the Ivey Chair in Telecommunication Economics, Policy and Regulation and serves as Editor-in-Chief of Telecommunications Policy . Currently on leave from Chalmers University of Technology, he combines economic theory with telecommunications policy analysis. PhD in Economics of Technology from Chalmers University of Technology (1995) BA in Business Administration and Economics from Stockholm School of Economics (1987) Masters and Bachelor in Theology from Community Chapel College (1984-1985) His research focuses on telecommunications policy, digitalization's socioeconomic impact, broadband regulation, and technology diplomacy. He examines network effects, market entry strategies, and digital infrastructure's role in economic growth. Recent publications analyze 5G regulation, AI's societal impact, digital technology adoption strategies, and broadband's economic effects. These works span telecommunications economics, policy analysis, and technology's macroeconomic influence. Scientific Affiliation : Member of Swedish Royal Academy of Engineering Past Chair of International Telecommunications Society Teaching activities include developing and instructing graduate courses on Digital Strategy and Policy. The Chair receives funding from Ivey Business School, Bell Canada, and TELUS.

Kenan Arifogluمشاهده پروفایل

دانشیار

• Healthcare Management
• Supply-Chain Management
• Pricing and Revenue Management
• +۳ مورد دیگر

Dr. Kenan Arifoglu is an Associate Professor at the UCL School of Management. He previously held a postdoctoral position at the Ross Business School, University of Michigan (2008–2012). His education includes a PhD in Industrial Engineering and Management Sciences from Northwestern University (2012), two MSc degrees from Northwestern University (2008) and Koç University (2007), and a BSc from Koç University (2005). His research focuses on behavioral motivations in healthcare, supply chains, pricing, and entrepreneurial operations. Key projects include analyzing inefficiencies in flu vaccine supply chains and developing frameworks for high-growth startups. His work bridges operations management with practical challenges in healthcare, retail, and entrepreneurship. Recent publications address topics such as luxury brand licensing dynamics, incentive programs in healthcare systems, and the theoretical foundations of lean startup methodologies. These contributions span disciplines like marketing, operations research, and public health, emphasizing cross-sectoral applications. Dr. Arifoglu’s advising and grant activities are not detailed here. He is affiliated with the UCL School of Management and actively contributes to academic discourse through his research and teaching roles.

• Cultural Studies
• Globalization and Culture
• Entrepreneurship
• +۳ مورد دیگر

Tina Dacin is a Professor of Strategy and Organizational Behavior at the Smith School of Business, Queen's University, Canada. She holds the Stephen J.R. Smith Chair and serves as Director of the Community Impact Research Program. Her roles include former Director of the Smith School’s Centre for Social Impact, former University Senate member, and former Chair of the Principal’s Innovation Fund Committee. She co-founded the Community of Social Innovation Chair and holds affiliations with the Academy of Management and Informs. Education: Ph.D. (1993) in Business Administration from the University of Toronto and M.A. in Psychology from the University of New Brunswick. Research focuses on cultural heritage, social innovation/entrepreneurship, strategic alliances, and globalization. Key themes include custodianship, tradition preservation, place-making, and institutional dynamics. Recent work explores craft-based ventures, place-sensitive organizational practices, and institutional renewal in crises like the Detroit water wars. Awards: None explicitly listed, though her chair position reflects academic distinction. Teaching includes courses on global social impact and analytics/ethics policy. Labs/Teams: Leadership in the Community Impact Research Program and the Scotiabank Centre for Customer Analytics.

Daniel Adelmanمشاهده پروفایل

استاد

• Business Analytics
• Management Analytics
• Operations Research
• +۵ مورد دیگر

Daniel Adelman is the Charles I. Clough, Jr. Professor of Operations Management at the University of Chicago Booth School of Business. He joined the faculty in 1997 after completing his PhD in industrial engineering and operations research at Georgia Tech. Adelman is a leading expert in Business Analytics and Management Analytics, helping companies deploy data and decision analysis to build world-class strategic and tactical management capabilities. Adelman received his PhD in industrial engineering and operations research in 1997, along with a bachelor's degree in industrial engineering and a master's degree in operations research, all from the School of Industrial and Systems Engineering at the Georgia Institute of Technology. Daniel Adelman's research focuses on applying analytical models to solve complex business problems across multiple industries. He has worked with firms from diverse sectors including internet services, chemical distribution, airlines, third party logistics, fiber-optics manufacturing, semiconductor manufacturing, oil, and healthcare. His research integrates real-world data with analytical models to bring structure and discipline to decision and control processes, enabling firms to achieve higher profits with lower risk. Adelman's recent work has concentrated heavily on healthcare analytics, where he leads the Healthcare Analytics Laboratory at Chicago Booth. This lab works with teams of doctoral and MBA students on projects with major healthcare institutions to optimize clinical, operational, and financial outcomes. His research spans foundational operations research including approximate dynamic programming, inventory theory/supply chain management, and revenue management/pricing optimization, as well as examining the linkage between operational performance metrics and financial performance of firms. Adelman's publications show a clear trend toward increasing focus on healthcare applications while maintaining strong theoretical foundations in operations research. His earlier work focused more on general operations management problems like inventory control and supply chain optimization, while his recent publications demonstrate a strategic shift toward healthcare analytics, particularly examining surgical team dynamics, hospital performance metrics, and resource allocation during public health emergencies like the COVID-19 pandemic. George B. Dantzig Prize (1998) for the best dissertation in operations research and management sciences that is innovative and relevant to practice Adelman regularly advises doctoral and MBA students through the Healthcare Analytics Laboratory at Chicago Booth. He has served as Associate Editor for Management Science, currently serves as Associate Editor for Manufacturing and Service Operations Management, and is the Area Editor for Operations and Supply Chain at Operations Research. His industry collaborations include significant projects with Akamai on internet pricing, with GE Global Research Labs on the electricity smart grid, with BP on gasoline supply contract portfolio optimization, and with Symantec on software release planning. Adelman leads the Healthcare Analytics Laboratory at Chicago Booth, which brings together interdisciplinary teams of doctoral and MBA students to work on a portfolio of projects with major healthcare institutions. The lab focuses on optimizing clinical, operational, and financial outcomes through advanced analytics and decision modeling.

Eva Ascarzaمشاهده پروفایل

استاد

• customer retention
• personalization and targeting
• marketing AI
• +۱۲ مورد دیگر

Eva Ascarza is a Professor of Business Administration in the Marketing Unit at Harvard Business School (HBS) . She co-founded the Customer Intelligence Lab at HBS's D 3 Institute, focusing on responsible and effective customer data utilization. Research Interests include: Customer retention and churn analysis Algorithmic bias in marketing AI Field experimentation (A/B testing) for targeting optimization Customer lifetime value (CLV) modeling Dynamic personalization strategies Scientific Awards and Recognitions: 2023 Weitz-Winer-O'Dell Award (winner) 2022 Paul E. Green Award (PNAS publication) 2020 Marketing Science Institute (MSI) Scholar 2019 Erin Anderson Award for Emerging Female Scholar 2018 Paul E. Green Award (JMR publication) 2014 Frank M. Bass Outstanding Dissertation Award Her articles demonstrate cutting-edge applications of statistical modeling , Bayesian methods , and fair AI frameworks in modern marketing challenges.