Francesc Miralles Torner is an Associate Professor affiliated with the Department of Enterprise and Technology, specializing in digital innovation, artificial intelligence, and entrepreneurial ecosystems. He leads the BOCETO: Boosting Comfort in Educational Environments project and participates in initiatives like Digital Innovation and AI as an agent for Digital Transformation . His work focuses on sustainability frameworks, innovation intermediaries, and technology's role in addressing global challenges. Academic Rank: Associate Professor Department: Enterprise and Technology Key Research Areas: Digital Innovation, Entrepreneurial Ecosystems, Sustainability, AI Recent research explores configurational approaches to startup innovativeness, orchestration of innovation networks, and digital transformation through global and sustainable lenses. His collaborations span institutions like AGAUR and international researchers.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۷۳۶-۷۵۰ از ۴۴٬۳۳۵ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Aldo Gangemi is a Full Professor in the Department of Philosophy at the University of Bologna, specializing in Informatics (INFO-01/A). His research integrates Semantic Technologies, Natural Language Processing, Data Science, and Cognitive Science to address challenges in knowledge representation, ontology engineering, and cultural heritage informatics. He co-founded the STLab at ISTC-CNR and DHARC at the University of Bologna, and is on leave from Sorbonne Paris Nord University (Computer Science Lab - LIPN). Scientific roles include serving as area chair for Web Semantics , editorial board member for Semantic Web and Applied Ontology , and conference chairs for major events like WWW2015 and ESWC2018. He has led European projects such as GALEN, WonderWeb, NeOn, and MARIO, and developed software tools like FRED, Aemoo, and Framester. Research interests focus on semantic technologies, knowledge patterns, and applications in humanities, medicine, law, and fisheries. Over 250 peer-reviewed publications span these areas, with emphasis on ontology-based knowledge integration, multimodal reasoning, and ethical AI. His work bridges cognitive science and technological innovation, particularly in virtual reality's societal applications and cultural heritage preservation. Notable contributions include the PRIVAFRAME knowledge graph for sensitive data, the ImageSchemaNet ontology for embodied cognition, and the Sandra neuro-symbolic reasoner. His interdisciplinary approach addresses challenges in AI ethics, creative systems, and citizen-driven data curation.
Nicholas Feltovich is a Professor of Economics at Monash University, specializing in experimental economics, game theory, and behavioral economics. His research focuses on understanding strategic behavior in markets, bargaining institutions, and decision-making under uncertainty, with notable contributions to schizophrenia-related loss aversion studies and experimental political science. He holds a PhD in Economics from the University of Pittsburgh (1997) and a BS in Mathematics from Virginia Tech (1991). Education PhD in Economics, University of Pittsburgh, 1997 BS in Mathematics, Virginia Polytechnic Institute and State University, 1991 Research Interests His work explores experimental investigations of market institutions, bargaining power dynamics, and social norms. Key topics include the effects of communication in strategic interactions, the role of fairness perceptions in pricing, and the application of neuroeconomic methods to study decision-making impairments in schizophrenia. He has conducted influential studies on corporate social responsibility, leadership in public goods provision, and the impact of leniency programs on collusion. Grant Activities Posted prices, bargaining and auctions : ARC-funded project (2014–2019) examining experimental economics of market mechanisms. Effect of bargaining power : ARC project (2013–2018) analyzing institutional and normative influences on bargaining outcomes. Collaborations He collaborates internationally on projects spanning behavioral ethics, experimental game theory, and schizophrenia-related economic behavior. His work contributes to the UN Sustainable Development Goal on Quality Education through applied research in decision-making frameworks.
- Behavioral Economics
- Behavioral Operations Management
- Supply Chain Contracts and Bargaining
- +۵ مورد دیگر
Stephen Leider is the Dale L. Dykema Professor of Business Administration and Professor of Technology and Operations at the Ross School of Business, University of Michigan. His research focuses on behavioral economics and operations, exploring contracts, bargaining in supply chains, dynamic decision-making, and technology’s role in productivity. He holds a BA from Case Western Reserve University, and MA and PhD from Harvard University. Leider’s research spans behavioral operations management, including studies on symbolic awards in buyer-supplier relations, innovation sharing in product development, and the impact of decision rights. His work integrates experimental, theoretical, and empirical methods to address operational challenges influenced by human behavior. His recent articles highlight trends in algorithmic decision-making, replication studies in operations research, and the design of enterprise social media platforms. Education: BA in Economics, Case Western Reserve University (2003) MA and PhD in Business Economics, Harvard University (2006, 2009) Leider’s research has been published in top journals like Management Science and Manufacturing & Service Operations Management . He co-authored The Handbook of Behavioral Operations (2018), emphasizing interdisciplinary approaches to operational challenges. His work often bridges theory and practice, offering insights into how behavioral factors shape organizational and supply chain dynamics. Leider’s advising and grants focus on behavioral operations and entrepreneurship. He has collaborated on studies involving field experiments in the Philippines, exploring vote-selling and its implications for institutional trust. His lab focuses on behavioral analysis of strategic interactions and dynamic resource allocation, with ongoing projects on algorithm reliance and human decision-making under uncertainty.
Andrea Goldsmith is the Dean of the School of Engineering and Applied Science and the Arthur LeGrand Doty Professor of Electrical and Computer Engineering at Princeton University. Previously, she held the Stephen Harris Professorship at Stanford University and remains Harris Professor Emerita there. Her research focuses on information theory, communication theory, signal processing, and their applications to wireless communications, interconnected systems, and neuroscience. She founded Plume WiFi and Quantenna, Inc., and serves on the boards of Medtronic and Crown Castle Inc. Education: B.S., M.S., and Ph.D. in Electrical Engineering, University of California, Berkeley (1986–1994) Research Interests: Her work bridges theoretical foundations with practical applications in wireless systems, including MIMO communications, cognitive radio, and the integration of machine learning in communication protocols. She also explores the intersection of wireless technology with biomedical systems and neuroscience, emphasizing innovations like smart buildings and in-body networks. Key Contributions: Authored seminal textbooks, including Wireless Communications and MIMO Wireless Communications . Inventor on 29 patents, with significant industry impact through startups. Recipient of prestigious awards such as the IEEE Sumner Award, ACM Athena Lecturer Award, and Marconi Prize. Labs & Leadership: Leads the Wireless Systems Lab at Princeton, advancing cutting-edge wireless technologies. Chair of the IEEE Board of Directors Committee on Diversity, Inclusion, and Ethics.
- Robotics
- Motion Planning
- Artificial Intelligence
- +۷ مورد دیگر
Steven M. LaValle is a Professor at the University of Oulu's Faculty of Information Technology and Electrical Engineering since 2018. Previously, he held tenured positions at the University of Illinois Urbana-Champaign (UIUC) and was a Principal Scientist at Oculus VR. His research spans robotics, motion planning (notably pioneering RRT algorithms), virtual reality, and sensor fusion. He has authored influential textbooks like Planning Algorithms and Virtual Reality . Education: PhD (1995), MS (1993), and BS (1990) in Electrical Engineering from UIUC. Research Interests: Focuses on minimal information requirements for robots, perception engineering, and foundational VR/AR systems. His work integrates control theory, computational geometry, and human perception. Achievements: Recipient of the IEEE ICRA Milestone Award (2019), University Scholar (UIUC, 2012), and XTIC Award 2024 for Innovation. Leads the Perception Engineering Group at Oulu, advancing VR/AR and telepresence technologies. Grants & Industry: ERC Advanced Grant (2021–2026), former VP of Huawei's VR/AR division, and collaborator with institutions like IIT Madras. Advises startups in robotics and virtual reality.
Rodolfo J. Floresمشاهده پروفایل
استادیار
Dr. Rodolfo J. Flores serves as an Assistant Professor in the Department of Psychology within the College of Liberal Arts at the University of Texas at El Paso (UTEP). His primary research investigates neuromodulator function in the prefrontal cortex, with emphasis on acetylcholine and dynorphin systems during motivational conflict, stress responses, and addiction pathways. He employs advanced optogenetic and biosensor technologies to dissect neural circuitry underlying psychiatric conditions. Dr. Flores earned his Ph.D. in Social Cognitive and Neuroscience from UTEP in 2019, followed by postdoctoral training at the National Institute of Mental Health (NIMH). His work bridges molecular neuroscience with behavioral outcomes, focusing on how stress and substance exposure alter prefrontal cortical function. His research portfolio demonstrates consistent high-impact publication in top neuroscience journals including Nature Neuroscience , Neuron , and Psychoneuroendocrinology . Current work examines opioid neuropeptide dynamics, nicotine-alcohol interactions, and sex-specific hormonal influences on addiction behaviors. Methodologically, he specializes in genetically encoded biosensors and circuit-level manipulations to study threat processing and reward pathways. Dr. Flores teaches graduate and undergraduate courses including PSYC 4341 (Motivation & Emotion), thesis/dissertation supervision (PSYC 5395/6395), and research applications courses. His lab actively trains students through undergraduate research (RSRC 4033) and independent study opportunities (PSYC 4352).
- Forensic Psychology
- Psychopathy
- Emotion Perception
- +۳ مورد دیگر
Angela Book is a Professor in the Department of Psychology at Brock University. She holds a Ph.D. from Queen’s University and specializes in Forensic Psychology, with a focus on psychopathy and its relationship to victim selection, emotion perception, and deceptive behavior. Her research explores how psychopathic traits influence vulnerability judgments and social manipulation. She is affiliated with Brock’s Psychology Department and has contributed extensively to forensic assessment methodologies and youth psychopathy research. Education: Ph.D. in Psychology, Queen’s University Research Interests: Forensic Psychology, psychopathy, emotion perception, victim selection, deception detection, vulnerability assessment. Grants & Advising: No specific grants or advisee records explicitly mentioned in the provided text. Labs/Teams: Not explicitly detailed in the text, though her work aligns with forensic and clinical psychology research groups at Brock.
David Peetersمشاهده پروفایل
دانشیار
David Peeters is an Associate Professor at Tilburg University's Department of Communication and Cognition, part of the Tilburg School of Humanities and Digital Sciences. His research focuses on multimodal communication, multilingualism, and digital communication, leveraging immersive virtual reality (VR) technologies combined with EEG, eye-tracking, and fMRI. He explores neurobiological underpinnings of language, including neuropragmatics, non-verbal communication, and multilingualism. His work is supported by grants such as the NWO Veni and Tilburg University Fund. Peeters teaches courses on virtual reality, language psychology, and digital literature integration in education. He is a Research Fellow at the Donders Institute and President of the Tilburg Young Academy. Key research interests include the role of gesture and iconicity in second language acquisition, bilingual language switching in immersive environments, and the impact of dataism on academic publishing. He collaborates with libraries and schools to integrate digital literature into curricula and public collections. His scientific awards include the NWO Veni Grant and a Fellowship from the International Max Planck Research School for Language Sciences. His research bridges cognitive science, linguistics, and technology, emphasizing ecologically valid experimental paradigms.
Eleanor O'Rourke is an Associate Professor at Northwestern University with joint appointments in the Department of Computer Science and the Learning Sciences, part of the McCormick School of Engineering. She co-directs the Delta Lab, focusing on interdisciplinary research in Human-Computer Interaction, Artificial Intelligence, and Learning Sciences. Her work examines how learning environments can foster motivation and effective practices in computer science education, supported by grants from NSF and Google. Educated at the University of Washington (PhD, MS in Computer Science & Engineering) and Colby College (BS in Computer Science and Spanish), her research employs mixed methods, including design-based research and grounded theory, to study student motivation, affective responses during programming, and AI-driven interventions. Notable contributions include tools like Ply and Isopleth , which support novice web developers, and studies on student self-assessment biases and growth mindset incentives. Her work has been recognized with multiple Best Paper Awards at ACM conferences, including ICER 2024 and SIGCSE 2022. She teaches courses such as Transformative AI and the Learning Sciences and Design of Learning Environments , and advises a diverse cohort of PhD students and undergraduates. The Delta Lab’s collaborative approach emphasizes innovation in educational technology and human-centered design.
Louis Hickmanمشاهده پروفایل
استادیار
- Industrial-Organizational Psychology
- Algorithmic Fairness
- Machine Learning in Personnel Assessment
- +۴ مورد دیگر
Louis Hickman is an Assistant Professor of Industrial-Organizational Psychology at Virginia Tech’s Department of Psychology. He also serves as a Visiting Academic at Amazon and holds a Senior Fellow position at Wharton People Analytics, University of Pennsylvania. His research bridges technology and work, focusing on machine learning applications in organizational science, particularly automated interviews and algorithmic fairness. He leads the Workplace Assessment and Social Perceptions (WASP) Lab, exploring how biases influence hiring and using AI to reduce algorithmic bias. Hickman holds a Ph.D. in Industrial-Organizational Psychology from Purdue University (2021), alongside advanced degrees in Computer Science and Creative Writing. His work emphasizes interdisciplinary collaboration, spanning psychology, computer science, and management. Research Interests: Automated personnel assessment via AI Algorithmic bias mitigation in hiring Machine learning applications in HR and education Interpersonal perception dynamics Unproctored testing in the AI era Publications: Recent work examines automated interview validity, LLM impacts on testing, and recruitment algorithm ethics. His 2025 studies highlight risks of unproctored testing and bias in automated systems. Earlier research (2023–2022) explores text mining for personality assessment and fairness in AI-driven selection. Awards: None explicitly mentioned, though his work has been widely cited in organizational psychology and AI ethics domains. Advising & Labs: Currently not accepting graduate students for 2026, but oversees the WASP Lab. Past research collaborations include projects on LLM competencies, bias simulation, and algorithmic fairness frameworks. Grants and funding sources are unspecified in provided text.
Ashton Anderson is an Associate Professor in the Department of Computer Science at the University of Toronto's Faculty of Arts & Science, where he leads the Computational Social Science Lab. His work intersects AI, data science, and societal impact, examining topics from algorithmic fairness to online behavior. Research investigates human-AI collaboration , social media dynamics , and computational ethics . Recent projects evaluate LLMs' impact on creativity and social media's agenda-setting power. His group develops methods to audit algorithmic systems for bias and alignment. Honored with a Google PhD Fellowship and NSERC Scholarship, he mentors graduate students in social computing and human-centered AI. His teaching covers social network analysis and computational social science methodologies.
Andreas Fusterمشاهده پروفایل
دانشیار
Andreas Fuster is an Associate Professor of Finance and SFI Senior Chair at the Swiss Finance Institute (SFI) @ EPFL, and a Research Fellow at the Centre for Economic Policy Research (CEPR). He previously worked at the Federal Reserve Bank of New York and the Swiss National Bank, where he maintains a part-time research advisor role. His research focuses on empirical finance (household finance, real estate, banking, fintech), macroeconomics, and behavioral economics, with recent work examining technological advancements in credit markets. He teaches courses in financial engineering, macroeconomics, and financial econometrics at EPFL. As Director of the Doctoral Program in Finance at EPFL and academic co-director of the EPFL Executive Education Fintech program, he oversees academic development and executive training. His editorial roles include Associate Editor at the Review of Financial Studies and Journal of Financial Economics . Education: Ph.D. from Harvard University, M.Phil. from Oxford University, B.A. from University of Lausanne (all in economics). Research Interests: Empirical finance, macroeconomics, behavioral and experimental economics, fintech, mortgage markets, and banking regulation. External Roles: Co-organizer of the BIS-CEPR-SCG-SFI Conference on Financial Intermediation and SNB-CIF Conference on Cryptoassets and Financial Innovation. Grants & Awards: Recognition for contributions to financial stability and policy analysis (no specific awards listed). His work has been published in top journals such as the Quarterly Journal of Economics and Review of Financial Studies. He advises on sustainable digital finance through Innosuisse and contributes to policy analysis via CEPR and the Federal Reserve Bank of NY.
Michael D. Smith is a Professor of Information Technology and Public Policy at Carnegie Mellon University, with joint appointments at Heinz College and Tepper School of Business. His research employs economic and statistical methods to analyze digital markets, focusing on firm and consumer behavior in online environments. Education: B.Sc. in Electrical Engineering (Summa Cum Laude), University of Maryland M.Sc. in Telecommunications Science, University of Maryland Ph.D. in Management Science and Information Technology, MIT Research Interests: Professor Smith investigates the economics of digital information markets, consumer behavior in online platforms, and policy implications of technological disruption. His work spans copyright enforcement, digital advertising, and the impact of piracy on legal media consumption. Publications: His recent studies examine AI’s role in copyright policy, effectiveness of anti-piracy measures, and market dynamics in digital streaming. Articles often bridge economics, computer science, and public policy. Awards: National Science Foundation CAREER Award Multiple Best Teacher Awards at CMU Recognized as a Top 100 Emerging Engineering Leader (NAE, 2020) Best Paper Runner-Up (Information Systems Research, 2006) Editorial and Industry Roles: Served as Senior Editor at Information Systems Research and Associate Editor at Management Science . Prior to academia, he worked in telecommunications at GTE and Booz Allen Hamilton, earning a patent for AI applications in network design. Contact: mds@cmu.edu | Office: 4800 Forbes Avenue, Hamburg Hall 2204, Pittsburgh PA 15213
Graham Neubigمشاهده پروفایل
دانشیار
Graham Neubig is an Associate Professor at the Language Technologies Institute (LTI) within Carnegie Mellon University (CMU). His research focuses on advancing artificial intelligence, particularly in natural language processing (NLP), multimodal reasoning, and large language models (LLMs). He explores topics such as AI safety, generative AI, and human-AI interaction, with an emphasis on practical applications like machine translation and web-agent systems. His work often involves developing frameworks for evaluating AI systems, such as OpenAgentSafety and BehaviorBox, which assess real-world agent performance and model behavior. Neubig's research also delves into improving LLM capabilities through reasoning analysis, hallucination detection (e.g., ZINA), and culturally aware systems (e.g., CAIRe). He has contributed to open-source projects like Pangea (a multilingual LLM) and frameworks such as Cmulab for model deployment. His recent work addresses challenges in agentic tasks, self-improving agents (Skillweaver), and benchmarking across domains like visual reasoning (VisualPuzzles) and software engineering. Notable achievements include advancing evaluation methodologies for LLMs, developing tools for ethical AI, and creating benchmark suites that test systems under realistic conditions. His lab collaborates on projects like the BrowserGym ecosystem and OpenHands platform, which aim to standardize web-agent research and AI-driven software development. Neubig's contributions span theoretical advancements and practical implementations, bridging the gap between cutting-edge research and real-world applications. He advises students such as Apurva Gandhi and actively publishes in top venues, addressing topics from instruction-following improvements to the societal impacts of AI. His work frequently emphasizes the importance of transparency, controllability, and cultural awareness in AI systems.
فقط ۷۵۰ نتیجه اول نمایش داده میشود. برای رسیدن به نتایج دقیقتر، جستوجو را با فیلترها محدودتر کنید.