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نمایش ۳۱-۴۵ از ۱۰٬۳۵۵ استاد راهنما
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Paola Cascante-Bonilla is an Assistant Professor in the Department of Computer Science at Stony Brook University, with expertise in computer vision, natural language processing, and embodied AI. Her research focuses on developing systems for compositional reasoning, common-sense inference, and trustworthy AI using vision-language models, while addressing cultural bias and explainability challenges.
استادیار
Luisa Domingues is an Assistant Professor in the Department of Information Science and Technology at ISCTE - University Institute of Lisbon. She serves as an Integrated Researcher at ISTAR-Iscte - Research Center in Information Sciences, Technologies and Architecture, specializing in Information Systems research. Her academic qualifications include a PhD in Information Science and Technology from ISCTE-IUL (2013). Her primary research interests focus on: Project Management : Methodologies, risk assessment, and knowledge sharing Database Systems : Management, interoperability, and standardization e-Government Solutions : Public sector information systems and shared services Ontological Frameworks : Particularly for architectural heritage documentation Educational Technologies : Blended learning approaches in higher education Her recent publications (2016-2024) demonstrate a strong focus on project management methodologies, knowledge transfer, and information systems in public sector contexts. Key thematic trends include PMBOK framework applications, agile methodology adoption challenges, data science project risks, and technological solutions for cultural heritage preservation. Most works employ case study research and empirical validation methods. Dr. Domingues maintains an active advising portfolio with 1 doctoral candidate and 36 master's students, primarily focusing on topics in project management, information systems, and data science applications. She has held significant academic leadership positions including: 4th Year Coordinator for Bachelor's in Computer Science and Business Management (2020-2027) Program Director for the same degree (2017-2019) At ISTAR-Iscte research center, she contributes to projects involving information systems architecture, data standardization, and knowledge management frameworks.
Ozcan Ozturk is a Professor in the Computer Science and Engineering and Electronics Engineering programs at Sabancı University's Faculty of Engineering and Natural Sciences. Previously, he held professorships at Bilkent University and adjunct roles at North Carolina State University. His expertise spans heterogeneous computing, parallel systems, processor architecture, and compiler optimization. He earned his Ph.D. from Penn State University, with prior academic roles at the University of Florida and internships at Intel and Marvell. Education: Ph.D. in Computer Science and Engineering (2007), Pennsylvania State University M.S. in Computer Engineering (2002), University of Florida B.Sc. in Computer Engineering (2000), Bogazici University Research interests include accelerator technologies, GPU-based systems, multicore processors, and compiler optimizations. His work focuses on improving parallelization efficiency, energy optimization, and reliability in heterogeneous architectures. He leads funded projects like 'Machine Learning for Compiler Flags' and 'Graph Accelerator Design'. Notable awards include the Bilkent Teaching Award (2019), BAGEP (2018), and HiPEAC Paper Award (2016). He serves on editorial boards of IEEE and ACM journals and chairs major conferences like ASPLOS and ICS. Grants and collaborations include partnerships with Huawei, Intel, NVIDIA, and TÜBİTAK. He advises over 20 students and has supervised projects in safety-critical systems, FPGA accelerators, and compiler-directed optimizations. His lab develops domain-specific architectures, including RISC-V extensions for graph processing.
دانشیار
Ning Nan is an Associate Professor at the University of British Columbia's Sauder School of Business, specifically within the Department of Accounting and Information Systems. With a BA from Peking University, an MA from the University of Minnesota, and a PhD from the University of Michigan, Dr. Nan focuses on digital business strategy, evolvable IT infrastructure, and complex adaptive systems. His research explores blockchain applications, agent-based modeling, and the intersection of AI with societal challenges like sustainability. Education: PhD in Information Systems, University of Michigan MA in Information Systems, University of Minnesota BA in Computer Science, Peking University Research Interests: Dr. Nan investigates how technology shapes organizational and societal systems, with a focus on AI ethics, sustainability through personalized recommendations, and blockchain's role in decentralized supply chains. He employs agent-based modeling to simulate complex phenomena like innovation diffusion and online community dynamics. Recent work addresses explainable AI in smart cities and carbon-reduction gamification strategies. Teaching: In 2024-2025, he teaches Data Management for Business Analytics , emphasizing practical applications of data-driven decision-making. Key Research Themes: His articles highlight trends in AI sustainability (e.g., carbon footprint impacts of recommendation systems), digital business strategy (blockchain governance, app update strategies), and foundational IS theory (hyperturbulence and IS strategy).
Professor Diana Inkpen is a faculty member at the School of Electrical Engineering and Computer Science, University of Ottawa. She holds a Ph.D. from the University of Toronto's Department of Computer Science and degrees from the Technical University of Cluj-Napoca, Romania (M.Sc. and B.Eng.). Her research focuses on computational linguistics, natural language processing (NLP), and artificial intelligence, with specialties in natural language understanding/generation, lexical semantics, and semantic web agents. Education: Ph.D., Computer Science, University of Toronto M.Sc., Computer Science and Engineering, Technical University of Cluj-Napoca B.Eng., Computer Science and Engineering, Technical University of Cluj-Napoca Affiliations: Director, NLP Lab Editor-in-Chief, Computational Intelligence journal Associate Editor, Natural Language Engineering journal Her research has led to roles such as program co-chair for AI 2012 and leadership in organizing international workshops. She has received funding from NSERC, SSHRC, and OCE, and was honored with a Visiting Professor title at the University of Wolverhampton, UK. Her teaching spans courses like Information Retrieval, Natural Language Processing, and Prolog programming. Professor Inkpen's work bridges NLP innovations with societal challenges, including mental health surveillance via social media analysis and bias mitigation in AI systems. She actively contributes to interdisciplinary projects, such as detecting hate speech and legal text entailment, while maintaining a global research network through collaborations and international conference involvement.
Professor Ashley Braganza serves as Dean of Brunel Business School at Brunel University London and holds the Chair in Business Transformation. He founded and co-directs Brunel's interdisciplinary Research Centre for Artificial Intelligence (established 2018), which includes a dedicated AI Lab and forms part of Brunel's broader AI Ecosystem. His leadership secured £3.5 million in grants during the 2022/23 academic year and a recent €5.8 million ELOQUENCE EU project (2024-2027). His academic qualifications include a PhD in Organisational Change and Information Systems from Cranfield University and an MBA in Strategic Management Responsibility from the University of Strathclyde. Professor Braganza's research centers on artificial intelligence, big data, change management, strategy implementation, process and knowledge management, and transformation-enabled information systems . His practice-based approach stems from over 40 major consultancy projects with global organizations including BT, Microsoft, McDonald's, Astra Zeneca, and UN agencies. He champions interdisciplinary experiential learning and rigorous academic research with real-world applications. Analysis of his 15 most recent publications reveals dominant trends in applying AI and digital technologies to healthcare supply chains, blockchain governance, and socioeconomic challenges like digital poverty. His work consistently bridges operations management, information systems, and social sciences while examining human-organizational impacts of technological transformation. His distinguished recognition includes: Election to the British Academy of Management College of Fellows for 25+ years of scholarly contribution and community service Professor Braganza has directed significant research initiatives including the British Academy-funded digital poverty study in Margate, UK-India collaborative projects on AI in healthcare productivity, and curriculum development for special needs trainers. His consultancy assignments with major corporations have co-created practical frameworks for implementing complex organizational change programs. He founded and chairs the British Academy of Management Special Interest Group in Transformation, Change and Development, and directs Brunel's AI: Social and Digital Innovation Research Centre, fostering cross-disciplinary collaboration through the Operations and Information Systems Management Research Group (OISM).
Sarah A. Soule is the Philip H. Knight Professor and Dean of Stanford Graduate School of Business and Morgridge Professor of Organizational Behavior. She has been a faculty member at Stanford since 2008 and previously taught at the University of Arizona and Cornell University. As of June 2025, she serves as the first woman dean of Stanford GSB, marking the school's centennial year. Her educational background includes a PhD and MA in Sociology from Cornell University (1995, 1991) and a BA in Sociology from the University of Vermont (1989). She has held significant leadership roles including Senior Associate Dean for Academic Affairs (2016-2023) and Director of the Center for Advanced Study in the Behavioral Sciences (2023-2025). Soule's research focuses on organizational theory, social movements, and political sociology, examining how social movements impact organizational and policy change. Her work bridges sociology and business, analyzing how protest influences corporate decisions and how organizations respond to social movement pressures. She has made significant contributions to understanding tactical innovation in social movements and the diffusion of protest strategies. Her scholarly output shows a consistent trajectory examining the intersection of social movements with business and policy. Early work focused on protest policing and movement tactics, while more recent research explores corporate activism, DEI initiatives, and the role of design thinking in organizational contexts. Her publications span top sociology and management journals, demonstrating interdisciplinary impact. Hank McKinnell-Pfizer Inc. Faculty Fellow, Stanford GSB, 2014 James and Doris McNamara Faculty Fellow, Stanford GSB, 2011 GSB Trust Faculty Fellow, Stanford GSB, 2010 Member, Sociological Research Association, 2009 Fellow, Michelle R. Clayman Institute for Gender Research, 2009 Magellan Circle Award for Excellence in Graduate Teaching, University of Arizona, 2006 Soule has served on multiple editorial boards including Sociological Science (founding team), Stanford University Press, and Cambridge University Press. She has advised numerous PhD students and has been actively involved in curriculum development, particularly in diversity, equity, and inclusion education. Her leadership extends to nonprofit boards including the Hasso Plattner Institute of Design (Stanford d.school) and the international advisory board to the president of the Stockholm School of Economics. She co-directs the Stanford LEAD Online Business Program and has developed executive education programs focused on coaching skills and diversity leadership.
Cecilia O. Alm is a Professor in the Department of Psychology within the College of Liberal Arts at Rochester Institute of Technology (RIT), where she serves as the Artificial Intelligence Program Director. She holds multiple leadership roles including Director of the Center for Human-aware AI and Director of the Computational Linguistics and Speech Processing Lab (CLaSP). Her institutional affiliations span the School of Information, Ph.D. Programs in Cognitive Science and Computing and Information Sciences, Department of Computer Science, and MS in Data Science program. Dr. Alm earned her Ph.D. from the University of Illinois at Urbana-Champaign. Her research focuses on human-centered artificial intelligence with particular emphasis on linguistic and multimodal sensing, affective computing, and natural language processing. She investigates how AI systems can better understand and respond to human communication through multimodal dialogue processing, with applications in accessibility, education, and healthcare. Her recent publications demonstrate a strong trend toward developing inclusive AI systems, particularly through projects addressing Deaf community needs (MULTICOLLAB-ASL), subtle emotion recognition (FUSE corpus), and bias mitigation in NLP. The work consistently integrates multimodal data streams (speech, gaze, gesture) to create more responsive human-AI interaction frameworks. Current research directions emphasize diversity in AI education, visual prosody in sign languages, and human-in-the-loop AI development. Dr. Alm leads several significant NSF-funded initiatives including the AWARE-AI program, IRES AI-PROWIL international research experience, and collaborative projects with Gallaudet University focused on Deaf scientist-centered AI research. She has secured over $2.5 million in external funding for her work on human-aware AI systems. She directs the CLaSP lab which provides research opportunities for PhD, MS, and undergraduate students, with graduates employed at major technology companies including Amazon, Apple, Microsoft, and Facebook. The lab focuses on real-world AI applications in accessibility, human-robot interaction, and multimodal communication systems.
استادیار
Dr. Andrea Fraser is an Assistant Professor in the Faculty of Education at Mount Saint Vincent University. She holds a PhD in Curriculum and Instruction from the University of Saskatchewan. Her research focuses on reading acquisition, reader identity development, and the knowledge and beliefs of pre-service and in-service teachers regarding literacy pedagogy. Dr. Fraser's work bridges theoretical understandings of literacy with practical applications in classroom settings. Education: PhD in Curriculum and Instruction, University of Saskatchewan Professional Affiliations: Member of the Faculty of Education at MSVU, contributing to teacher education programs. Contact: Office Seton 427 | Tel: (902) 457-6187 | Email: Andrea.Fraser10@msvu.ca Her research explores how teachers' professional beliefs influence instructional practices, particularly in fostering student reader identities. While no specific grants or awards are listed, her work aligns with contemporary educational priorities in literacy education.
استادیار
George Spencer is an Assistant Professor in the Department of Administration, Leadership, and Technology at NYU’s Steinhardt School. He holds a PhD and MA from Harvard University’s Graduate School of Education, and a BA from Northwestern University. His research focuses on college access, policy evaluation, and student pathways, with a particular emphasis on socioeconomic disparities and policy levers to improve educational outcomes. His work has been supported by grants from AERA, TIAA Institute, and the Bill & Melinda Gates Foundation. Notable awards include the AERA Dissertation Fellowship (2015-2016) and Russell Sage Foundation Pipeline Grant (2021). Prior to academia, Spencer directed programs for high school students with the I Have a Dream Foundation and worked at the Consortium on Financing Higher Education. Research interests include dual enrollment policies, articulation agreements, transfer student trajectories, and the effectiveness of individualized learning plans. His scholarship appears in top journals like American Educational Research Journal and Review of Higher Education.
Daniel Kreisman is an Associate Professor of Economics at Georgia State University and a faculty affiliate at the University of Milan. His research focuses on labor economics, education finance, and policy, particularly examining school funding, career and technical education (CTE), and student loan repayment systems. Kreisman founded the Career & Technical Education Policy Exchange (CTEx), a multi-state consortium under Georgia Policy Labs, which analyzes CTE policy impacts. He holds a Ph.D. in Public Policy from the University of Chicago and a B.A. in History and Philosophy from Tulane University. Prior to academia, he taught high school English in New Orleans. His education includes a PhD from the University of Chicago (Public Policy) and a BA from Tulane University (History and Philosophy). Research Interests: Educational Finance and School Funding Mechanisms CTE Program Design and Equity Student Loan Repayment Behaviors Labor Market Signaling and Economic Outcomes Public Policy Evaluation CTEx collaborations include state partners in Massachusetts, Michigan, Montana, Tennessee, Texas, Washington, and Atlanta, focusing on data-driven policy to enhance CTE programs. Advising & Grants: Kreisman’s work bridges academia and policy, with grants supporting research on CTE alignment, financial aid impacts, and loan repayment systems. His lab affiliations enable applied policy analysis. Labs/Teams: Director of CTEx and active member of Georgia Policy Labs, emphasizing evidence-based education policy.
Ezequiel Reficco is an Associate Professor at ESCP Business School's Madrid campus, specializing in Management. Previously, he served as Associate Professor at EGADE Business School (Tecnológico de Monterrey) and Chair of the Strategy Department at Universidad de Los Andes School of Management (Bogotá, Colombia). His academic journey includes a post-doctoral fellowship and Senior Researcher role at Harvard Business School (2001–2008). He co-authored books with Harvard University Press and published extensively in journals like the Journal of Business Ethics and Harvard Business Review . He is recognized globally for his research output, ranking among the top 10% of SSRN authors and #108 in Colombia's most cited researchers (2015). His research focuses on responsible management education, corporate social responsibility (CSR), inclusive business models, and strategic cross-sector partnerships. Key areas include leveraging business strategies to address poverty (BoP markets), fostering sustainability through innovation, and redesigning educational curricula for ethical leadership. His work bridges theory and practice, with consulting engagements for multilateral organizations and corporations like Inditex (owner of Zara). Notable achievements include awards from Universidad de Los Andes and Tecnológico de Monterrey for research excellence. He actively contributes to policy debates on social entrepreneurship and global development, emphasizing Latin American contexts. His recent articles highlight trends toward integrating CSR into core business operations and rethinking educational frameworks to address global challenges. Professional roles beyond academia include membership in Inditex's Social Council, advising on ethical practices and sustainability initiatives. His career reflects a commitment to aligning business strategies with societal impact, particularly in underserved markets and developing regions.
استادیار مدعو
Maureen Behrs serves as an Adjunct Instructor at Dominican University within the School of Liberal Arts and Education, holding the academic rank of Adjunct Assistant Professor. She is actively engaged in teaching and academic duties at the institution as evidenced by her current directory listing and contact information. Her scholarly focus spans Education, Liberal Arts, Humanities, and Social Sciences, with particular emphasis on interdisciplinary pedagogical approaches and curriculum development within liberal education frameworks. This aligns with the School of Liberal Arts and Education's mission to integrate foundational humanities disciplines with contemporary educational practices. No scientific awards, student advisement records, or research publications were documented in the source material. Her professional activities appear concentrated on instructional responsibilities within the university's liberal arts and education programs.
پژوهشگر ارشد
Jana Schaich Borg is an Assistant Research Professor at the Social Science Research Institute at Duke University. She specializes in integrating neuroscience, computational modeling, and emerging technologies to study social decision-making processes and their interactions with internal value representations. As a data scientist, she collaborates with interdisciplinary teams to develop novel statistical approaches for analyzing high-dimensional, multi-modal data. Research interests include Moral psychology and computational ethics Human-AI interaction in decision-making Automated social behavior analysis Neuroscience of social cognition Interdisciplinary data science education Recent publications highlight her focus on ethical AI development, moral preference modeling, and automated behavioral analysis. She teaches IDS 707: Data Visualization at Duke University.
پژوهشگر ارشد
Minsu Kim is a CIFAR AI Safety Post-doc Fellow at KAIST and Mila, collaborating with Prof. Yoshua Bengio, Prof. Sungjin Ahn, and Prof. Sungsoo Ahn. His work bridges System 2 Deep Learning, Bayesian posterior inference, and combinatorial optimization. Ph.D., Industrial Engineering, KAIST (2025) M.S., Electrical Engineering, KAIST (2022) B.S., Mathematics and Computer Science (Dual Degree), KAIST (2020) Kim's research focuses on enabling AI systems to measure uncertainty, represent causality, and perform sequential reasoning for safety-guaranteed planning. His methodology integrates GFlowNets and diffusion models with off-policy amortized inference, targeting applications in scientific discovery , hardware design optimization , and large language model alignment . Recent work explores Bayesian posterior inference through GFlowNets, aiming to unify deep learning with probabilistic reasoning. His 15 most recent publications (2025–2024) reveal a trend of combining combinatorial optimization with generative models for tasks like molecular graph discovery, vehicle routing, and neural architecture search. He also investigates diffusion samplers for Bayesian inverse problems and symmetry-based neural methods (Sym-NCO) to enhance sample efficiency. Jang Yeong Sil Fellowship (2025) KAIST Presidential Best Ph.D. Thesis Award (2025) Qualcomm Innovation Fellowship (2023) DesignCon Best Paper Awards (2021–2022) Kim's collaborations span KAIST's Industrial Engineering department and Mila's AI research groups. He actively contributes to academic peer review for top conferences (NeurIPS, ICML, ICLR) and journals (IEEE TNNLS, TPAMI), emphasizing the intersection of AI safety , uncertainty quantification , and systemic reasoning .
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