جست‌وجوی استاد و پژوهشگر

Sunita Sarawagiمشاهده پروفایل

استاد

• Machine Learning
• Data Analytics
• Databases
• +۱۰ مورد دیگر

Sunita Sarawagi is a Professor at Computer Science and Engineering , IIT Bombay, and a member of AI Labs@CSE . She is also associated with the Center for Machine Intelligence and Data Science (CMInDS), which she founded in 2020. Education: PhD in Computer Science from UC Berkeley (Thesis: Query Processing in Tertiary Memory Databases), BTech in Computer Science from IIT Kharagpur Research Interests span machine learning , data analytics , graphical models , and structured learning , with applications in text segmentation, sequence modeling, domain adaptation, and human-in-the-loop systems. Her publications reveal a strong focus on integrating data mining with database systems , temporal data analysis , and information extraction using probabilistic methods. Professional Activities include serving on the IEEE John Von Neumann Medal committee (2017-), VLDB 2011 Research Track Co-chair , and multiple program committee roles at top conferences like ICML, KDD, and SIGMOD. Labs & Teams : Leads the SS Lab , a research group focused on probabilistic graphical models, sequence modeling, and data integration techniques.

Hutan Ashrafianمشاهده پروفایل

استاد

• Artificial Intelligence in Medicine
• Metabolic Surgery
• Health Policy
• +۴ مورد دیگر

Professor Hutan Ashrafian is a clinician-scientist and surgeon at the University of Leeds Business School, holding dual roles as Professor of Research Impact and Senior Research Fellow at Imperial College London. His expertise spans AI in healthcare, metabolic surgery, and ancient history. He pioneered STARD-AI and QUADAS-AI guidelines for AI diagnostics, collaborated on AI-driven breast cancer screening with Google and NHS, and led global health policy initiatives. Ashrafian’s work bridges medicine, history, and philosophy, including his contributions to understanding historical figures’ medical conditions, such as King Tutankhamun’s epilepsy. He has authored over 550 publications, 12 books, and holds a PhD in computational physiology and an MBA with distinction. Awards include the Hunterian Prize and Wellcome Trust Fellowship. His research also explores AI ethics, quantum physics paradoxes, and art-based medical diagnostics. Education: PhD in Computational Physiology (Imperial College London) MBA (Warwick Business School) MD (University College London) Bachelor of Science in Immunology (University College London) Research Interests: Ashrafian’s work spans: AI in Medicine: Diagnostic algorithms, guideline development (STARD-AI/QUADAS-AI), and ethical frameworks. Metabolic Surgery: Bariatric interventions, gut microbiome, and obesity treatments. Ancient History: Medical analyses of historical figures (e.g., Tutankhamun, Julius Caesar) and art-based pathology identification. Philosophy: AI rights (AIONAI law), temporal paradoxes, and the Simulation Argument. Awards: Royal College of Surgeons Arris and Gale Lectureship Hunterian Prize Wellcome Trust Research Fellowship Advising & Innovation: Supervised >50 PhD students, co-founded Oxford Medical Products (weight loss tech), and serves as CSO at Flagship Pioneering’s Preemptive Health division. He advises on NHS digital transformation and global health policy. Labs/Teams: Leads AI initiatives at Imperial’s Institute of Global Health Innovation and collaborates with Google, NICE, and international institutions on health tech solutions.

David B. Shmoysمشاهده پروفایل

استاد

• Operations Research
• Computer Science
• Optimization
• +۴ مورد دیگر

David B. Shmoys is the Laibe/Acheson Professor of Business Management & Leadership Studies at Cornell University's School of Operations Research and Information Engineering (ORIE) and holds a joint appointment in the Department of Computer Science. He is a leading researcher in approximation algorithms, stochastic optimization, and computational sustainability. His work emphasizes data-driven decision-making in enterprise and society, with applications ranging from healthcare logistics to environmental conservation. Shmoys has advised 27 Ph.D. students and served as an editorial board member for top journals like Operations Research and Mathematics of Operations Research. Education: Ph.D. in Computer Science, University of California, Berkeley (1984). Postdoctoral positions at MSRI and Harvard University, followed by faculty roles at MIT before joining Cornell. Research Interests: Design and analysis of approximation algorithms for NP-hard problems, stochastic optimization, scheduling, facility location, and inventory management. Applications include computational sustainability, epidemiological modeling, and political districting optimization. Articles Trends: Focus on optimization under uncertainty, computational sustainability, and real-world applications like air ambulance routing, bike-sharing systems, and gerrymandering analysis. Notable works include the 2018 Wagner Prize-winning paper on bike-sharing analytics and the 2013 Lanchester Prize-winning textbook on approximation algorithms. Awards: Lanchester Prize (2013), Daniel H. Wagner Prize (2018), Fellowships from ACM, INFORMS, and SIAM, NSF Presidential Young Investigator (1987). Advising & Grants: Over 27 advised Ph.D. students, with former students at MIT, Waterloo, Brown, and D-Wave. Active in grants related to data science and sustainability. Labs/Teams: Involved in the Institute of Computational Sustainability at Cornell, focusing on applying algorithms to environmental challenges. Collaborates with organizations like Motivate (bike-sharing) and Ornge (air ambulance services).

Hassan Qudrat-Ullahمشاهده پروفایل

استاد

• Sustainability
• Global/Climate Change
• System Dynamics
• +۳ مورد دیگر

Dr. Hassan Qudrat-Ullah is a Professor at the School of Administrative Studies, York University, and Coordinator of the Certificate in Logistics Management. He holds a PhD in Decision Sciences from NUS Business School and completed a post-doctoral fellowship at Carnegie Mellon University. His research focuses on dynamic decision making, system dynamics modeling, energy planning, and interactive learning environments. He teaches courses on quantitative methods, logistics, and decision analysis, informed by global industry experience across 20+ countries. Research interests include sustainability, climate change, systems thinking, and educational applications of decision sciences. He serves as Editor-in-Chief of the International Journal of Complexity in Applied Science and Technology and is a member of IEEE, DSI, and the International System Dynamics Society. His work has been published in Energy , Decision Support Systems , and others. Key projects include studies on 'structured-debriefing in dynamic decision making' and renewable energy policies in Africa. His recent articles (2023–2025) address AI integration in energy governance, system dynamics for supply chain resilience, and education for sustainability. Hassan advocates for systems thinking in K-12 education and enjoys traveling (visited 129 countries) and bird-watching.

• Corporate Finance
• Mergers and Acquisitions
• Law and Finance
• +۳ مورد دیگر

Azizjon ALIMOV is a Full Professor at IÉSEG School of Management (University of Lille, France), specializing in Corporate Finance, Mergers and Acquisitions, and Law and Finance. He holds a Ph.D. in Finance from the University of Oregon (2007) and an MBA from Central Michigan University (2001). His HDR (Habilitation) in Management Sciences was awarded by the University of Lille in 2023. His research focuses on corporate governance, cross-border M&A dynamics, and the interplay between legal frameworks and financial decision-making. Key themes include intellectual property rights' impact on corporate debt costs, product market competition effects on corporate cash holdings, and government borrowing influences on acquisition strategies. His work frequently examines global contexts, with studies spanning North America, Asia, and Europe. Notable publications include analyses of IPO staging mechanisms (2024), managerial discipline through trade liberalization (2023), and the role of labor protection laws in loan contracting (2015). His recent work emphasizes reproducibility in management science methodology (2023) and cross-border regulatory challenges in M&A. No scientific awards are explicitly listed; however, his extensive publication record reflects sustained academic contributions. He has advised students across institutions including City University of Hong Kong and the Sauder School of Business, though specific advisee names are not documented here. His professional experience includes roles at the University of Arizona (2008–2010), California State University (2007–2008), and as an HSBC Visiting Assistant Professor at the University of British Columbia (2016–2018). He currently leads the Finance Track at IÉSEG, contributing to programs like the Grande École Master’s in Finance and MSc Corporate Finance courses.

• Digital Journalism
• Fact-checking
• Media Platforms
• +۷ مورد دیگر

Oscar Westlund serves as Professor at the Department of Journalism and Media Studies within the Faculty of Social Sciences at Oslo Metropolitan University (OsloMet), where he co-leads the OsloMet Digital Journalism Research Group. He maintains a secondary appointment at the University of Gothenburg and acts as Editor-in-Chief of Digital Journalism . His research spans digital journalism, fact-checking, platform dynamics, media management, news consumption, and mobile media. Westlund's scholarly focus centers on journalism safety in digital environments, sociotechnical dimensions of misinformation combat, and platform-induced challenges for news organizations. His work examines professional fragilities of journalists, epistemological foundations of data journalism, and legitimacy paradoxes in public service media-platform relationships. Current projects address disinformation countermeasures through the SCAM initiative (Source Criticism And Mediated Disinformation). Analysis of his 2022-2024 publications reveals dominant themes: journalism safety frameworks (33%), platform-journalism tensions (27%), and fact-checking as sociotechnical practice (23%). Key methodological approaches include cross-national comparative studies, epistemological analysis, and practice theory applied to digital news production. Westlund actively contributes to academic discourse through editorial leadership at Digital Journalism and special issue guest editing. His research group coordinates interdisciplinary collaboration on digital journalism studies, while the SCAM project develops practical methodologies for disinformation detection in democratic contexts. Recent work demonstrates increasing emphasis on mobile news ecosystems and journalist safety cultures. He co-leads the OsloMet Digital Journalism Research Group, which investigates platform impacts on news production, mobile journalism evolution, and epistemological shifts in data-driven reporting. The group maintains strong international partnerships, particularly with Swedish institutions through his University of Gothenburg affiliation.

Andrew Stephenمشاهده پروفایل

استاد

• Digital Marketing
• Social Media Strategy
• Consumer Behavior
• +۵ مورد دیگر

Andrew Stephen is the L’Oréal Professor of Marketing and Deputy Dean for Faculty and Research at Saïd Business School, University of Oxford. He leads the Marketing faculty and directs the Oxford Future of Marketing Initiative, focusing on emerging technologies like AI and data-driven strategies in marketing, media, and advertising. His research explores digital marketing, consumer behavior, and the impact of new technologies, earning him recognition as a top global marketing scholar. His academic contributions span leading journals such as the Journal of Consumer Research and Harvard Business Review. He serves as editor of the Journal of Consumer Research, co-editor of the International Journal of Research in Marketing, and actively engages with industry through councils like the Mobile Marketing Association’s Brand Safety Council. Teaching responsibilities include marketing curriculum oversight and courses across MBA, Executive MBA, and DPhil programs, focusing on digital transformation, marketing analytics, and the future of marketing. His work bridges academic rigor with industry relevance, addressing challenges in tech-enabled marketing and global brand strategies. Awards: Top marketing academic in the UK (AMA), featured in Poets & Quants’ top 40 under 40, multiple research excellence awards. Labs/Initiatives: Oxford Future of Marketing Initiative, fostering collaborations with leading companies to tackle industry challenges. Grants/Advising: Extensive industry partnerships and academic grants not explicitly detailed in the text.

Ariel Pakesمشاهده پروفایل

استاد

• Econometrics
• Industrial Organization
• Economics of Technological Change
• +۳ مورد دیگر

Ariel Pakes is the Thomas Professor of Economics at Harvard University, part of the Faculty of Arts and Sciences and the Department of Economics. He previously held the Charles and Dorothea Dilley Professorship at Yale University and tenured roles at institutions including the University of Wisconsin and the Hebrew University of Jerusalem. His research focuses on industrial organization (I.O.), the economics of technological change, and econometric theory. Pakes has advised notable students who now lead economics departments globally and has received prestigious awards including the Frisch Medal (1986) and election to the American Academy of Arts and Sciences (2002). Education: Pakes earned his Ph.D. in Economics from Harvard University in 1980. His academic journey includes roles as a lecturer at Harvard and positions at the University of Jerusalem. Research Interests: Pakes has pioneered methodologies for analyzing I.O. models, including demand and cost system estimation. Recent work examines AI’s impact on pricing strategies, antitrust policy implications of market dynamics, and healthcare cost structures. His theoretical contributions include simulation estimators and frameworks for dynamic oligopolies. Awards: Frisch Medal (Econometric Society, 1986) Fellow of the Econometric Society (1988) Fellow of the American Academy of Arts and Sciences (2002) Best Graduate Student Advisor Award (Yale University, 1996) Advisory and Grants: Pakes has served on NSF panels, including the Economics Advisory Panel and Presidential Fellow Advisory Board. His consulting work spans government agencies and large firms. He edited the RAND Journal of Economics and co-chaired the AEA Census Advisory Panel. Labs/Teams: Collaborates with NBER as a Research Associate and contributes to interdisciplinary projects like the PNAS issue on 'Science, Technology and the Economy.'

Erniel Bayhon Barriosمشاهده پروفایل

استاد

• Computational Statistics
• Nonparametric Methods
• Data Science/Big Data Analytics
• +۵ مورد دیگر

Erniel Bayhon Barrios is a Professor at the Malaysia School of Business, Monash University. Formerly a professor at the University of the Philippines Diliman and a visiting scholar at Karlstad University (Sweden) and the Asian Development Bank Institute (Japan). He holds a PhD in Statistics (1990) from the University of the Philippines Diliman. His research focuses on computational statistics, nonparametric methods, data science, and computational econometrics, with applications in spatiotemporal modeling, time series, and financial markets. He has contributed to high-dimensional data analysis, volatility modeling, and robust statistical techniques. Key projects include the National Mental Health Survey and Well-Being (2019–2021) and building a data-driven organization for the Habib Group (2025–2026). He is an elected member of the International Statistical Institute (2012), associate editor of Communications in Statistical Applications and Methods , and served on the board of the International Association of Statistical Computing (2022–2025). He advises PhD students on topics like stochastic frontier models, data assignment in big data, and high-frequency time series analysis. His work aligns with UN Sustainable Development Goals related to education and economic growth.

• Business Process Management
• Process Mining
• Software Engineering
• +۳ مورد دیگر

Marlon Dumas is a Professor of Information Systems at the University of Tartu's Faculty of Science and Technology, with a 20-year academic career spanning Estonia and Australia. He holds a PhD in Computer Science from the University of Grenoble 1, France, and has served as Head of Chair and Programme Director in Software Engineering programs. Specializes in Business Process Management (BPM) and Process Mining Current research focuses on prescriptive process monitoring, simulation modeling, and data privacy Recipient of 25+ scientific awards, including multiple Test of Time Awards and the Estonian National Research Award in Technical Sciences Editorial leadership: Area Editor for Information Systems (Elsevier) and ERC Starting Grant Panel Chair His work bridges theoretical advancements in BPM with practical applications in financial services and anti-money laundering. He has developed tools like SIMOD, Kronos, and Kairos for process optimization and analysis. His research integrates AI/ML techniques (reinforcement learning, causal inference) with traditional process modeling. Key trends in his recent publications include: Prescriptive monitoring systems combining causal inference and machine learning Privacy-preserving process mining techniques (differential privacy, anonymization) Resource availability modeling and multi-objective process optimization LLM applications for process analysis and intervention policies Scientific honors include: 2024 BPM Best Paper & Prototype Awards 2023 ICPM Best Prototype Award 2019 ERC Advanced Grantee 2017 Estonian National Research Award in Technical Sciences 2019 MODELS Test of Time Award 2017 BPM Best Prototype Award He has mentored PhD candidates as thesis examiner and contributed to 30+ conference program committees, including General Co-Chair roles at ESEC-FSE 2019 and CAiSE 2018. His work has been supported by European Research Council grants and Estonian Science Foundation projects.

• Management Education
• Project Management
• Information Management
• +۳ مورد دیگر

Prof. Dr. Frank Ulbrich is a Lecturer and Programme Director for the BSc Business Administration at the Lucerne School of Business (HSLU). He holds a PhD in Business Administration from the Stockholm School of Economics. His academic career spans roles at universities in Sweden, the UK, Canada, and Switzerland, alongside IT & Management consulting experience. Research focuses on management education, project management, information management, and organizational change. He has published extensively in areas like shared services, digital transformation, and curriculum development. Notable awards include multiple Emerald Literati Awards and a Fellowship from the Higher Education Academy. Education: PhD in Business Administration (Stockholm School of Economics) Affiliations: Institute of Business and Regional Economics at HSLU Teaching Subjects: Academic Methods, Higher Education Management, Project Management, Digital Transformation Recent presentations include discussions on bridging academia-industry gaps, curriculum integration of SDGs, and data-driven learning strategies. His work emphasizes aligning education with labor market needs and advancing evidence-based teaching practices.

Felipe Csaszarمشاهده پروفایل

استاد

• Strategic Management
• Artificial Intelligence
• Organizational Behavior
• +۳ مورد دیگر

Felipe Csaszar is a Professor of Strategy and Chair of the Strategy Department at the University of Michigan's Ross School of Business. His research focuses on decision structures' impact on innovation, financial performance, and social outcomes, with particular attention to cognitive frameworks, organizational processes, and AI's role in decision-making. He holds a PhD and MA from the Wharton School, University of Pennsylvania. Education: PhD in Strategy, University of Pennsylvania (2009) MA in Strategy, University of Pennsylvania (2007) Research Interests: Strategic decision-making under AI integration Cognitive and structural drivers of innovation Organizational decision processes and design Formal modeling and empirical strategy research Editorial Roles: Senior Editor, Strategy Science and Management Science Former Editor, Organization Science Co-editor, Handbook of AI and Strategy Professional Experience: Prior role: Assistant Professor at INSEAD Previous career: CEO of an internet startup and Head of Research at an asset management firm Labs/Teams: Leading the Strategy Science division at INFORMS Co-chair of the SMS Behavioral Strategy division

Christophe Bissonمشاهده پروفایل

دانشیار

• Competitive Intelligence
• Strategic Foresight
• Artificial Intelligence
• +۳ مورد دیگر

Christophe Bisson is an Associate Professor at SKEMA Business School (Paris campus) specializing in Strategy, Innovation & Entrepreneurship. His research examines augmented anticipatory systems, competitive intelligence, AI governance, and strategic early warning frameworks. He directs the MSc International Strategy and Influence program and leads research at the SKEMA Center for Artificial Intelligence. Bisson holds a PhD in Competitive Intelligence from Aix-Marseille University and a Postgraduate Certificate in AI from the University of Helsinki. His professional experience includes international strategy consulting and academic positions at universities in Turkey and France. Awards & Honors: Inducted into Council of Competitive Intelligence Fellows (2023) SCIP International Academic Award (2017)

Sendhil Mullainathanمشاهده پروفایل

استاد

• Behavioral Science
• Economics
• Machine Learning
• +۷ مورد دیگر

Sendhil Mullainathan is the Roman Family University Professor of Computation and Behavioral Science at the University of Chicago Booth School of Business and a Professor of Economics and the Peter de Florez Professor of EECS at the Massachusetts Institute of Technology . His work bridges machine learning , behavioral science , and computational medicine , focusing on social problems like discrimination , poverty , and health equity . Research Interests : Behavioral economics, algorithmic fairness, poverty, AI in healthcare, and policy evaluation. Teaching : Courses on Artificial Intelligence and Algorithmic Solutions to Human Problems. Publications : Over 150 papers in journals like Science , Quarterly Journal of Economics , and Nature Medicine , with recent work on AI-driven healthcare disparities and behavioral economics. Scientific Awards : MacArthur ‘Genius’ Grant, Infosys Prize, ‘Top 100 Thinker’ (Foreign Policy Magazine), ‘Young Global Leader’ (World Economic Forum). Organizations : Co-founder of ideas42 (behavioral science non-profit), J-PAL (randomized trials in development), and Dandelion Health (healthcare data for AI). Serves on the MacArthur Foundation board.

Shauna Brailمشاهده پروفایل

استاد

• Economic Geography
• Urban Planning
• Digital Platform Economy
• +۵ مورد دیگر

Shauna Brail is Professor and Director at the Institute for Management & Innovation, University of Toronto Mississauga, with cross-appointments at the Munk School of Global Affairs & Public Policy. As an economic geographer and urban planner, her research examines urban transformation through economic, social, and technological change, particularly focusing on platform economy impacts, mobility innovation, and governance shifts in 21st-century cities. Education: PhD in Geography (University of Toronto), MA in Urban Planning (University of British Columbia), BA in Urban Studies/Geography (University of Toronto). Leadership Roles: Former Associate Director of Mobility Network, Director of Urban Studies Program, Associate Director of Partnerships & Outreach at School of Cities, and Interim Director of Master of Urban Innovation. Her work appears in top journals across geography, urban planning, and urban studies . Recent publications analyze pandemic impacts on cities, platform economy regulation, public housing finance models, and autonomous vehicle governance. She advises governments and civic organizations on housing, transportation, and digital platform policy while serving on editorial boards for Applied Geography , Progress in Economic Geography , and Canadian Geographies . Academic partnerships include collaborations with researchers like Tara Vinodrai, Ben Donald, and international scholars. Her current projects examine post-pandemic urban recovery, mobility-as-a-service business models, and equitable transportation technology implementation across Canadian cities.