جستجوی استاد راهنمای دانشگاهی

• Marketing
• Sustainability
• Technology in Business
• +۳ مورد دیگر

Carolina Luis Bassa is a Research Professor at the Universitat Pompeu Fabra Barcelona School of Management (UPF-BSM), serving as Academic Director and leading the Department of Business and Strategic Management. She directs multiple master’s programs and heads the Mercadona UPF-BSM Chair of Circular Economy. Her expertise spans Marketing, Sustainability, and Technology applied to business strategy, with a focus on digital transformation and circular economy practices in industries like agri-food distribution. Her academic journey includes roles as Vice-Dean of Teaching Staff and Academic Director, reflecting her commitment to educational innovation. Research interests emphasize sustainable consumer behavior, data-driven business models, and the integration of technology in CRM and customer experience management. Over 35 years, she has advised students and professionals on strategic applications of marketing and technology. Research Trends: Recent publications highlight circular economy adoption in agriculture, transparency in sharing economies, and data-driven strategies in customer-centric models. She bridges academic insights with industry challenges, particularly in leveraging technology for sustainable business practices. Awards & Grants: No specific awards are listed, but her leadership roles and chair position indicate significant institutional recognition. Grants and partnerships likely stem from her involvement with initiatives like the Mercadona Chair. Labs & Teams: Leads the Mercadona UPF-BSM Chair, focusing on circular economy research and collaboration with industry partners.

Stefan Haefligerمشاهده پروفایل

استاد

• Strategic Management
• Business Models
• Open Innovation
• +۲ مورد دیگر

Stefan Haefliger is Professor of Strategic Management & Innovation at Bayes Business School, City, University of London. His research focuses on business model innovation, open strategy, and organization theory in technology-driven environments. Key research streams: Business model portfolios and corporate strategy diversification Organization theory and technology-mediated regulation Open strategy and innovation ecosystems His work examines how technology transforms organizational practices, with empirical studies on compliance systems in investment banks and digital infrastructure governance. Recent projects explore modularity in R&D teams, digital resilience, and human-AI interaction in organizations.

Nguyen Khanhمشاهده پروفایل

استادیار

• Programming Languages
• Compiler & Runtime Support
• Memory Management
• +۵ مورد دیگر

Khanh Nguyen is an Assistant Professor in the Department of Computer Science & Engineering at Texas A&M University, part of the College of Engineering. His research focuses on improving scalability and efficiency in Big Data systems through compiler and runtime innovations, particularly in memory management and distributed computing. Education: Ph.D. in Computer Science, University of California, Los Angeles (2019) M.S. in Computer Science, University of California, Irvine (2015) B.S. in Computer Science, University of California, Irvine (2012) His research interests include programming languages, compiler design, memory management, and Big Data systems. He has developed techniques such as Gerenuk for thin computation over big data, Skyway for distributed heap connectivity, and Yak , a high-performance garbage collector. His work emphasizes resource efficiency and workload scalability, particularly for machine learning and data-parallel applications. Recent publications (2021–2024) highlight advancements in adaptive memory management for warehouse-scale computers, semantics-aware swapping in disaggregated systems, and query-driven distributed tracing. Awards: Google Ph.D. Fellowship (2017) Facebook Ph.D. Fellowship Finalist (2017) His research bridges compiler/runtime systems with large-scale data processing, addressing challenges in distributed systems and far-memory utilization. He collaborates with industry and academic partners to advance practical, scalable solutions for modern data-intensive workloads.

Daphna Buchsbaumمشاهده پروفایل

دانشیار

• Behavioral Neuroscience
• Developmental Psychology
• Higher-Level Cognition
• +۳ مورد دیگر

Daphna Buchsbaum is an Associate Professor of Cognitive and Psychological Sciences at Brown University, leading the Computational Cognitive Development Lab and Brown Dog Lab. She holds a dual background in Psychology and Statistics from UC Berkeley, a Master’s in MIT Media Lab, and a Brown undergraduate degree. Her work explores causal and social reasoning in children and non-human animals like dogs, focusing on how learners combine social and observational data. Education: A.B. in Human Biology, Brown University (2002) M.Sc. in Media Arts & Sciences, MIT Media Lab (2004) M.A. and Ph.D. in Psychology, UC Berkeley (2013) Research Focus: Investigates how children and animals form causal beliefs through social interactions and direct observation. Key topics include: Canine cognition and problem-solving Children’s causal reasoning and pretend play Computational models of belief systems Key Achievements: NSF/Office of Naval Research grants Templeton World Charity Foundation funding 2021 Society for Research in Child Development Early Career Award 2018 APS Rising Star designation Lab Activities: Conducts participatory studies with children and dogs, using eye-tracking and behavioral experiments. Recent projects include: Head-mounted eye-tracking in dogs Cross-cultural studies of causal reasoning Analysis of canine visual environments

Geoffroy Couteauمشاهده پروفایل

پژوهشگر

• Cryptography
• Secure Multiparty Computation
• Zero-Knowledge Proofs
• +۵ مورد دیگر

Geoffroy Couteau is a CNRS research scientist at IRIF (Institut de Recherche en Informatique Fondamentale), Université Paris Cité, where he conducts research in theoretical and applied cryptography. He obtained his PhD from École Normale Supérieure de Paris in 2017 under the supervision of David Pointcheval and Hoeteck Wee, followed by a postdoctoral position at Karlsruhe Institute of Technology (KIT) from 2017 to 2019. His primary research interests include secure multiparty computation, zero-knowledge proofs, and the theoretical foundations of cryptography, with a particular emphasis on pseudorandom correlation generators and efficiency improvements in cryptographic protocols. He has made significant contributions to fine-grained cryptography, non-interactive zero-knowledge proofs, and post-quantum secure computation. The recent publications reflect a strong trend toward foundational advances in secure computation, with increasing focus on efficiency, practicality, and connections to complexity theory and learning theory. His work often bridges theoretical hardness assumptions with practical protocol design. ERC Starting Grant (2023) for project OBELiSC (Overcoming Barriers and Efficiency Limitations in Secure Computation) Geoffroy Couteau has advised numerous PhD and master’s students, including Dung Bui, Clément Ducros, Eliana Carozza, and Ulysse Léchine. He has also hosted many visiting students and postdocs, fostering a vibrant research group. He has served on the program committees of major conferences such as EUROCRYPT, CRYPTO, TCC, and PKC. He is currently leading research in cryptography at IRIF and is involved in postdoctoral hiring for projects in advanced cryptographic primitives. He maintains a research blog and resource collection for students, including LaTeX templates, a probability cheat sheet, and curated answers to common cryptography questions.

• Fintech
• Digital platforms and ecosystems
• Chinese IT management
• +۵ مورد دیگر

Evelyn Ng is a Lecturer at the Business School of The University of Sydney , where she teaches courses such as INFS1000 Digital Business Innovation and INFS6004 Digital Business Transformation . She holds a PhD and a Master of Management from the University of Sydney, along with a Bachelor of Commerce , and is a CPA affiliate. Research Interests : Evelyn’s work focuses on Fintech , Digital platforms and ecosystems , Chinese IT management , Qualitative IS research , and IT-enabled social innovation , with recent studies exploring social media’s role in digital guanxi development, ethical challenges in real-time volunteer apps, and competitive strategies for Fintech platforms. Key Themes : Her publications since 2017 highlight trends in platform ecosystems , sharing economy dynamics , digital transformation , and social justice in technology . Recent Work (2024): Investigated the virality of IoT platforms , integrated superapp development , and BNPL platforms ’ impact on consumer behavior. Scientific Awards : Recognized for excellence in teaching and tutoring through multiple Dean’s Citations and Feedback for Teaching (FFT) Student Survey Awards at the University of Sydney Business School (2015–2021). Grants and Supervision : Supervised honours student Andrew Andrew (2023), and currently advises PhD candidates Dongdi CHEN (Ambidexterity in Digital Platforms) and Essie HONG (Digital Transformation). She is involved in the 2023 Early Career Research Scheme grant on digital transformation strategies in China.

Maumita Bhattacharyaمشاهده پروفایل

مدرس ارشد

• Computational Intelligence
• Cyber Security
• Big Data Optimization
• +۵ مورد دیگر

Maumita Bhattacharya is a Senior Lecturer (equivalent to Associate Professor in North America) at the School of Computing, Mathematics & Engineering, Charles Sturt University, Australia. She specializes in Computational Intelligence and Cyber Security, focusing on AI-driven security solutions, electronic fraud detection, and human-centric cybersecurity challenges. Her work addresses critical areas like BYOD security, IoT vulnerabilities, and social engineering through social media. Research Interests: Computational Intelligence techniques for optimization (Big Data, Engineering Design), Cyber Security applications (fraud detection, IoT security), and human dimensions of cybersecurity. She also investigates socio-computing systems and privacy challenges in social networks. Key Achievements: Recipient of the 2024 Excellence Award (Research) and 2017 SOCM Research Excellence Award Published over 65 peer-reviewed papers in top-tier journals/conferences Editorial roles at Human-centric Computing and Information Sciences (Springer Q1 journal) Guest editor of special issues and conference committee member Labs/Groups: Member of Cyber Security Research Group (CSRG), Machine Vision and Digital Health (MaViDH), and Data Mining Research Group (DaMRG). Active in interdisciplinary research collaborations across Australia and globally.

Aaron John Spitzerمشاهده پروفایل

دانشیار

• Arctic Governance
• Indigenous Governance
• Settler-Colonialism
• +۱۲ مورد دیگر

Aaron John Spitzer is an Associate Professor of Arctic Governance at the Department of Comparative Politics, University of Bergen (UiB), Norway. He is co-leader of the international research project Indigenous Peoples and Governance in the Arctic and leads the ERC-funded Contested Frontiers (CONFRONT) project (2024–2029), which explores constitutional politics in settler-state peripheries. His academic work bridges comparative politics, constitutional law, and normative political theory. Research Interests: Arctic and Indigenous Governance Settler-Colonial Constitutionalism Metapolitics and the Boundary Problem Self-Determination vs. Liberal Democracy Truth Commissions and Transitional Justice Land Claims and Co-Management Institutions His recent publications analyze the Finnmark Act, Sami land rights, settler voting rights in US territories, and truth commissions in Norway and Canada. The articles reflect a consistent thematic focus on the tension between individual liberal rights and collective Indigenous self-determination, particularly in federal and post-colonial contexts. His methodological approach combines comparative case studies, legal analysis, and political theory. Scientific Awards and Funding: European Research Council (ERC) Starting Grant (101115513), 2024–2029 Advising and Grants: Aaron Spitzer has co-supervised PhD research, notably collaborating with Per Selle on Sami governance topics. He has secured major external funding, including from the Research Council of Norway (projects 302041, 274976, 248159, 259416, 230839), and leads a high-profile ERC project, indicating strong grant-writing capacity and leadership in Arctic political studies. Labs and Research Teams: Spitzer is co-leader of the Indigenous Peoples and Governance in the Arctic project and principal investigator of the Contested Frontiers (CONFRONT) research group. He collaborates extensively with scholars at UiB, Chr. Michelsen Institute, and UiT The Arctic University of Norway, forming a robust network in Indigenous and Arctic political studies.

Armagan Bayramمشاهده پروفایل

دانشیار

• Operations Research
• Decision Science
• Stochastic Optimization
• +۵ مورد دیگر

Armagan Bayram is an Associate Professor in the Industrial and Manufacturing Systems Engineering Department at the University of Michigan-Dearborn's College of Engineering and Computer Science . Previously a postdoctoral researcher at Northwestern University, she holds a Ph.D. in Management Science from the University of Massachusetts Amherst, alongside M.S. and B.S. in Industrial Engineering from Istanbul Technical University. Education: Ph.D., Management Science, University of Massachusetts Amherst (2014) M.S., Industrial Engineering, Istanbul Technical University (2009) B.S., Industrial Engineering, Istanbul Technical University (2007) Her research focuses on stochastic models for capacity and resource allocation in mobility, healthcare, and logistics systems. Recent work includes urban curb space optimization , omnichannel retail fulfillment , and virtual appointment management in chronic care. Her methodological expertise spans stochastic optimization, dynamic programming, and experimental operations research. Current grants include NSF support for Curb Spaces in Urban Mobility Systems (2022-2024) and Inland Waterway Network Optimization (2024-2027) . Publications appear in top journals like Operations Research , European Journal of Operational Research , and Health Care Management Science . Scientific Accolades NSF Engineering Research Initiation (ERI) Award (2022) UM-Dearborn Distinguished Teaching Award (2020) IISE Healthcare Track Best Student Paper Advisor (2019) INFORMS Finalist for Doing Good with Good OR (2013) Bayram contributes to teaching through courses like Engineering Probability and Statistics and Simulation in Systems Design . She leads the Community Based Operations Research Lab , applying operations management principles to socially impactful projects.

Marco Seeberمشاهده پروفایل

استاد

• Public Policy
• Higher Education Governance
• Research Evaluation
• +۵ مورد دیگر

Marco Seeber is a Professor at the University of Agder's Department of Political Science and Management. He holds a PhD from the University of Chieti Pescara (Italy) and has previously worked at the University of Lugano (Switzerland) and Ghent University (Belgium). His research focuses on public policy, governance, and management with specialization in higher education systems, research evaluation, and science policy. Professor Seeber's research examines policy implementation, research metrics, peer review systems, academic careers, internationalization, and interdisciplinarity in higher education. He employs comparative and quantitative methodologies to analyze governance structures and policy impacts across different educational systems. He has received significant recognition including the Swiss Prize for Research in Education (2019) and fellowships from IEEE, AIUM, and AIMBE. As Co-Editor-in-Chief of the European Journal of Higher Education, he shapes scholarly discourse in his field. He currently coordinates the Horizon CSA project IANUS (2025-) and leads courses in organizational theory, research methodology, and leadership.

Baris Kasikciمشاهده پروفایل

دانشیار

• Computer Systems
• Reliability
• Security
• +۸ مورد دیگر

Baris Kasikci is an Associate Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. Previously (2017-2023), he was a Morris Wellman Assistant Professor in the Electrical Engineering and Computer Science Department at the University of Michigan. His research focuses on building efficient and trustworthy computer systems through innovative combinations of approaches from systems, computer architecture, and programming languages. Dr. Kasikci received his PhD in Computer Science at EPFL and has held research positions at Microsoft Research Cambridge, Google, Intel, and VMware. His work addresses critical challenges in system reliability, security, and performance in increasingly complex software ecosystems. His research interests center on improving the efficiency of datacenter applications and machine learning systems, analyzing and fixing failures, and enhancing hardware security. His lab develops techniques for automated bug detection, formal verification of distributed systems, and building systems support for heterogeneous hardware architectures. Recent projects include Whisper (profile-guided branch misprediction elimination), Huron (taming false sharing), and Agamotto (automatic detection and repair of bugs in persistent memory applications). Analysis of his recent publications shows a strong trend toward optimizing large language model serving, hardware security, and performance optimization for modern heterogeneous architectures. His work bridges traditional systems research with emerging AI infrastructure needs, particularly in efficient LLM serving, security vulnerabilities in modern hardware, and performance optimization for heterogeneous computing environments. NSF CAREER award Microsoft Research Faculty Fellowship Intel Rising Star Award VMware Early Career Faculty Grant Google Faculty Award Roger Needham PhD Award (best PhD thesis in computer systems in Europe) Patrick Denantes Memorial Prize (best PhD thesis at EPFL) Best Paper Award at OSDI'18 Best Paper Award at MICRO'22 Dr. Kasikci has advised numerous PhD students who have gone on to prestigious positions in academia and industry, including Tanvir Ahmed Khan (Assistant Professor at Columbia University), Akshitha Sriraman (Assistant Professor at CMU), and Jiacheng Ma (AMD). His research has been supported by significant grants from NSF, DARPA, Intel, Google, Microsoft, VMware, and Amazon. His lab, the EfesLab, focuses on building tools and techniques that make computer systems more reliable, secure, and efficient. The EfesLab, led by Dr. Kasikci, brings together postdocs, PhD students, and undergraduate researchers to tackle fundamental challenges in systems reliability and performance. The lab has developed numerous influential tools including Whisper, Huron, and Agamotto that address critical performance and reliability issues in modern computing systems. Current research directions include efficient LLM serving, security of emerging hardware technologies, and automated debugging techniques.

Marcus Bellamyمشاهده پروفایل

دانشیار

• Supply Chain Management
• Sustainable Operations
• Innovation
• +۶ مورد دیگر

Marcus Bellamy is an Associate Professor of Operations and Technology Management at the Questrom School of Business, Boston University . His research focuses on innovation , environmental sustainability , and performance dynamics in supply networks, using empirical models to analyze spatial resource proximity and interdependence. Education : PhD in Operations & Technology Management from Georgia Tech (2015), MS in Industrial Engineering (2010), BS in Aerospace Engineering from University of New Mexico (2006). His research bridges supply chain structure with outcomes like CSR practices , resilience , and economic welfare . He employs visual analytics and computational tools to study industries ranging from automotive to electronics , addressing policy impacts and platform economies like Uber . Recent work trends include analyzing two-sided sharing platforms , environmental disclosure in supply chains, and network resilience under risks. His empirical studies often integrate spatial spillovers and collaborative ecosystems . Scientific Awards : Isabel Anderson Career Development Professorship 2019 AOM Best Paper in Supply Chains 2013 AOM Operations Management Division Best Student Paper Fulbright Scholar (Madrid, Spain) NSF STEP Fellow Bellamy has served as a founder of the PhD Project Committee under the White House Initiative on Hispanic Education and collaborated with corporations like Lockheed Martin and General Motors on supply chain risk & resilience. His methodological contributions include interactive visual analytics systems for network evaluation.

Ali Akhavanمشاهده پروفایل

استادیار

• Power Systems
• Microgrids
• Control Systems Engineering
• +۳ مورد دیگر

Ali Akhavan is an Assistant Professor at the Faculty of Engineering and Science , Aalborg University, specializing in Electric Power Systems and Microgrids . His work focuses on grid-connected inverters, microgrid stability, and advanced control algorithms. Research Interests: Control systems for power electronics, stability analysis in asymmetrical grids, passivity-based control, and harmonic compensation. Projects: Participated in CROM (Villum Foundation), SYNCHRONY (private funding), and ASSET (Horizon Europe) to develop high-performance converter systems for renewable energy integration. Scientific Awards: Recipient of the Best Paper Award (May 2021). Email: alak@energy.aau.dk Publications Trend: 15 recent works emphasize grid-forming inverters, harmonic voltage compensation, and stability analysis in renewable energy systems. Key subfields include power quality, passivity enhancement, and dynamic response optimization.

• Servant leadership
• Artificial Intelligence in management
• Future of work
• +۴ مورد دیگر

Milton de Sousa is an Associate Professor at Nova School of Business & Economics in the Department of Management and Organizations, where he served as director of international development and academic director of CEMS MiM. He co-founded the Leadership for Impact Knowledge Center and brings nearly 30 years of professional experience spanning engineering, consulting, and entrepreneurship, including 14 years in the Netherlands. His educational background includes: PhD in Management from the Rotterdam School of Management, Erasmus University (2014) MBA with Distinction from the University of Bradford (2003) Electrical and Computer Engineering from the University of Porto (1998) De Sousa's research centers on servant leadership, meaning in organizations, and the impact of Artificial Intelligence on work and management. He investigates how leadership and technology intersect to shape the future of work, with emphasis on complex adaptive systems and innovation. His work bridges academic theory with practical executive applications through Nova SBE's Leadership for Impact Knowledge Center. Analysis of his 15 most recent publications reveals consistent focus on servant leadership across diverse contexts including cross-cultural studies, organizational change, and AI integration. His research frequently addresses societal challenges, ethical dimensions of leadership, and practical frameworks for managing paradoxes in complex environments. He directs multiple AI-focused executive programs including Managing with AI and AI for HR and Talent Management. As co-host of a leadership podcast at Observador and frequent media contributor, he actively disseminates research insights to broader professional audiences.

Scott Nelsonمشاهده پروفایل

دانشیار

• Consumer Credit Markets
• Financial Regulation
• Information Asymmetry
• +۷ مورد دیگر

Scott Nelson is an Associate Professor of Finance at the University of Chicago Booth School of Business. His research bridges consumer credit markets, regulatory frameworks, and behavioral economics, with a focus on how information asymmetries and algorithmic decision-making shape market outcomes. He has contributed to understanding the impacts of the 2009 CARD Act, eviction protections in housing markets, and fairness in credit scoring systems. PhD in Economics, Massachusetts Institute of Technology BA (summa cum laude) in Economics and Mathematics, Yale College Nelson's work employs diverse data sources, including credit reports, court filings, and tax records, combined with structural models to analyze consumer and firm behavior. Key themes include regulatory efficiency, validity disparities in predictive models, and the welfare implications of policy interventions. His articles reveal trends in algorithmic regulation (2025), eviction dynamics (2025), credit scoring disparities (2024), and public finance impacts on Chinese real estate (2023). These publications highlight interdisciplinary methodologies integrating economics, law, and data science. Scientific awards include the AQR Top Finance Graduate Award (2018) and National Science Foundation Graduate Research Fellowship. He has held postdoctoral roles at the Consumer Financial Protection Bureau/Princeton University and visiting research positions at the Federal Reserve Bank of Boston.