جستجوی استاد راهنمای دانشگاهی

Burkhard Maessمشاهده پروفایل

استاد پژوهش

• Neuroscience
• Auditory Processing
• Signal Analysis
• +۳ مورد دیگر

Dr. Burkhard Maess is a Research Professor and Group Leader at the Max Planck Institute for Human Cognitive and Brain Sciences, leading the Methods and Development Group Brain Networks. His research focuses on auditory and language processing, signal analysis, and dynamic modeling of neuronal networks. He holds a Diploma in Physics (University of Leipzig, 1987) and a PhD in Physics (University of Leipzig, 1990). His career includes postdoctoral positions at the Academy of Sciences of the GDR and the Free University of Berlin before joining the MPI in 1995. Since 2000, he has led research groups on MEG/EEG signal analysis and cortical network dynamics. His work integrates advanced neuroimaging techniques like MEG and EEG to study sensory processing, neural network dynamics, and the effects of aging on auditory attention. Key contributions include developing high-resolution BEM-FMM methods for source localization and analyzing cross-frequency coupling in neuroscience data. His group also explores spinal cord electrophysiology and the neural underpinnings of perceptual decision-making. Dr. Maess’ research spans cognitive neuroscience, biomedical engineering, and computational modeling, with a focus on bridging empirical findings with theoretical frameworks in neuroscience.

Stephen R. Plattمشاهده پروفایل

استاد

• Modern Chinese History
• Sino-Western Relations
• Military History
• +۳ مورد دیگر

Stephen R. Platt is a Professor of History at the University of Massachusetts Amherst, specializing in modern Chinese history and Sino-Western relations. He holds a PhD in Chinese History from Yale University, where his dissertation won the Theron Rockwell Field Prize. His research focuses on 19th-20th century China, including the Taiping Rebellion, Opium Wars, and U.S.-China military and diplomatic interactions. Teaches courses on modern Chinese history, U.S.-China relations, and historiography. Recipient of the Cundill History Prize and Baillie Gifford Prize nominations. Active in public scholarship through New York Times op-eds, Atlantic articles, and media interviews. Research emphasizes transnational dynamics, analyzing how China's interactions with Western powers shaped its modern trajectory. His most recent work, *The Raider*, explores Marine Corps officer Evans Carlson's engagement with Chinese communist tactics during WWII. Platt's earlier works include groundbreaking studies of the Taiping Rebellion and Qing Dynasty decline. Awards highlight his contributions to both academic and popular history, blending rigorous scholarship with accessible narrative storytelling. His work has been featured in major publications globally and translated into multiple languages.

Rikky Mullerمشاهده پروفایل

دانشیار

• Neural Engineering
• Medical Devices
• Low-Power Electronics
• +۶ مورد دیگر

Rikky Muller is an Associate Professor of Electrical Engineering and Computer Sciences at UC Berkeley, holding the S. Shankar Sastry Professorship in Emerging Technologies. She is Co-director of the Berkeley Wireless Research Center (BWRC), a Core Member of the Center for Neural Engineering and Prostheses (CNEP), and an Investigator at the Chan-Zuckerberg Biohub. Her research focuses on implantable/wearable medical devices, low-power wireless systems, and neurotechnology for neurological applications. Education: PhD (2013), UC Berkeley; BS and M.Eng. (2004), MIT, all in EECS. Prior roles include IC designer at Analog Devices and co-founder of Cortera Neurotechnologies (acquired). Research interests include neural interfaces, closed-loop neuromodulation, and biomedical microelectronics. Notable contributions include Neural Dust (ultrasonic implants), wireless EEG systems, and seizure prediction hardware. Awards: MIT TR35 Innovator, NAE Gilbreth Lectureship, NSF CAREER Award, IEEE SSCS New Frontier Award Grants: Bakar Fellows, Hellman Fellowship, NSF CAREER Labs: Muller Lab (UC Berkeley EECS), Chan-Zuckerberg Biohub collaborations

Marko Cetinaمشاهده پروفایل

استادیار

• Quantum Computing
• Quantum Optics
• Atomic Physics
• +۳ مورد دیگر

Marko Cetina is an Assistant Professor of Physics and the Department of Electrical and Computer Engineering at Duke University, affiliated with the Duke Quantum Center. He holds a B.S. from the California Institute of Technology (2004) and a Ph.D. from the Massachusetts Institute of Technology (2011). His research focuses on quantum computing, quantum optics, and atomic physics, with particular emphasis on trapped-ion systems, quantum error correction, and quantum simulation. He teaches courses including Atomic Physics and Quantum Optics, Advanced Topics in Physics, and introductory mechanics. His work explores foundational aspects of quantum mechanics and applied technologies for scalable quantum computers. Notable contributions include demonstrating multi-body interactions in trapped ions and advancing measurement-induced quantum phases. His team actively develops fault-tolerant qubit control and novel quantum architectures using cavity-mediated systems. Publications highlight advancements in quantum error correction protocols, lattice gauge theories, and quantum verification protocols. While no explicit awards are listed, his involvement in high-impact studies like the Duke Quantum Center underscores his contributions to the field. Current projects include optimizing stabilizer codes for logical qubit memory and simulating NMR experiments via digital quantum methods. His lab collaborates across disciplines to bridge theoretical quantum mechanics with experimental implementations in trapped-ion platforms.

Imen NOUIRAمشاهده پروفایل

استاد

• Supply Chain Management
• Environmental Sustainability
• Operations Research
• +۳ مورد دیگر

Dr. Imen NOUIRA is a Full Professor in the Supply Chain Management & Information Systems Academic Area at Rennes School of Business (since 2023). She holds a Ph.D. from Grenoble INP (2013) and has extensive academic experience, progressing from Assistant Professor (2012-2019) to Associate Professor (2019-2023). Her research focuses on supply chain optimization under environmental considerations, carbon emissions modeling, and pandemic logistics. She has published in top journals like European Journal of Operational Research and International Journal of Production Economics. Key research interests include: Environmental Sustainability : Green supply chain design, carbon taxation strategies, and eco-friendly product development Healthcare Supply Chains : Pandemic medical product distribution and crisis management Operations Research : Inventory optimization, lead time coordination, and stochastic modeling Her work has been recognized with awards such as the 2017 2nd Best Student Paper Award at IESM. She actively contributes to international conferences and collaborates with industry partners on projects like olive oil supply chain design and carbon tax policy analysis. Rennes School of Business affiliations include roles in the: Green, Digital & Demand-Driven Supply Chain Management (G3D) research center Agribusiness, Sustainable Development, and CSR initiatives

Richard Langمشاهده پروفایل

استاد

• Cooperative Management
• Social Entrepreneurship
• Housing Policy
• +۵ مورد دیگر

Richard Lang is an Extraordinary Professor at the University of Bolzano within the Faculty of Economics , specializing in cooperative management, social entrepreneurship, and housing policy. He leads the Competence Center for Cooperative Management , focusing on innovative models for community-led housing and nonprofit sector development. His research emphasizes the role of social capital, institutional contexts, and collaborative governance in fostering sustainable urban and rural development. Recent work highlights his engagement with cooperative housing initiatives , including studies on social innovation in Vienna, grassroots movements in England, and rural entrepreneurship across Europe. Lang’s interdisciplinary approach bridges economics, sociology, and urban planning to address systemic challenges in housing equity, community integration, and policy implementation. Education Background: Not explicitly stated in provided texts. Labs/Teams: Competence Center for Cooperative Management (University of Bolzano). Grants/Awards: None listed in the provided texts. His articles consistently analyze the intersection of institutional frameworks and grassroots action, emphasizing how cooperative models can drive social and economic sustainability. Key themes include contextual adaptation of policies, multilevel social capital utilization, and the governance challenges in collaborative housing systems.

Isabel Gemma Fajardo Garcíaمشاهده پروفایل

دانشیار

• Commercial Law
• Cooperative Law
• Social Economy
• +۷ مورد دیگر

Isabel Gemma Fajardo García is an Associate Professor in the Department of Mercantile Law at the Faculty of Law, University of Valencia, Spain. She is affiliated with the Institut d'Investigació en Economia Social, Cooperativisme i Empresa (IUDESCOOP), where she conducts research on cooperative law, social economy, and related legal frameworks. Research Interests: Her work focuses on Commercial Law, Cooperative Law, Social Economy, Credit Cooperatives, Mutual Societies, and the legal regulation of solidarity-based enterprises. She explores both national and European dimensions, with comparative studies including Greece’s solidarity economy legislation. Her recent publications reflect a strong trend in analyzing the legal and institutional evolution of social economy actors across Europe, particularly in Spain and Greece. She has contributed extensively to journals such as CIRIEC España and REVESCO , and has co-authored books on worker-managed enterprises and social economy manuals. Her research emphasizes democratic governance, self-management, and the balance between economic viability and social objectives in cooperatives. Scientific Contributions: Author of numerous scholarly articles on cooperative banking, agri-food cooperatives, and legal frameworks for social economy. Co-author of the book Empresas Gestionadas por sus trabajadores and editor of Manual de economía social . Contributor to international academic networks, such as RULEESCOOP, fostering Europe-Latin America research collaboration. She advises on legal and policy aspects of cooperatives and social enterprises, though specific advisees are not listed. Her work is supported through institutional research frameworks and academic publishing. She is actively engaged in shaping legal discourse around cooperative models and social economy development. She leads and participates in research initiatives within IUDESCOOP, focusing on legal scenarios for social economy actors in the EU and member states, and exploring new perspectives for housing cooperatives and mutualist entities.

Brad Campbellمشاهده پروفایل

دانشیار

• Ubiquitous Computing
• Internet of Things (IoT)
• Embedded Systems
• +۱۲ مورد دیگر

Brad Campbell is an Associate Professor in the Department of Computer Science and Electrical and Computer Engineering at the University of Virginia, where he is a member of the Link Lab, a cross-disciplinary research group focused on cyber-physical systems. His research centers on designing and building scalable, effective, and unobtrusive embedded systems for the Internet of Things, with applications in smart buildings, smart cities, and personal health. His work spans hardware design, networking, and cloud infrastructure, with a strong emphasis on energy-harvesting systems, low-power wireless communication, and resilient embedded operating systems. He has led projects such as the Living Link Lab, a heavily instrumented smart building testbed, and has developed open-source platforms for self-powered sensing and IoT ecosystems. His recent publications reflect a strong trend toward privacy-preserving federated learning, contactless occupancy sensing using WiFi and light, decentralized edge computing, and sustainable IoT systems. These works are published in top venues including SenSys, BuildSys, MobiCom, and IPSN, indicating a high impact in the systems and networking community. NSF CAREER Award (2022) Best Paper Award at DFHS’19 Multiple graduate fellowships and teaching awards for his students UVA Engineering Endowed Graduate Fellowships Link Lab Seminar Award CPS Rising Star recognition Brad Campbell has advised numerous PhD and master’s students, many of whom have gone on to academic and industry roles. He has secured significant research funding, including from the NSF, and has contributed to curriculum development in cyber-physical systems. He is actively involved in teaching courses on computer networking, IoT, and operating systems, and has co-taught wireless IoT courses across multiple institutions. His lab focuses on real-world deployment of IoT systems, emphasizing scalability, fault tolerance, and long-term sustainability. He continues to push the boundaries of what embedded systems can achieve in everyday environments, from homes to cities.

Irina Rishمشاهده پروفایل

استاد

• Machine Learning
• Neural Scaling Laws
• Emergent Behaviors in AI
• +۱۳ مورد دیگر

Irina Rish is a Full Professor at the Université de Montréal and a core academic member of Mila – Quebec Artificial Intelligence Institute, where she leads the Autonomous AI Lab. She holds a Canada Excellence Research Chair (CERC) and a CIFAR AI Chair, reflecting her leadership in foundational AI research. Her work is supported by major initiatives, including the U.S. Department of Energy’s INCITE project on Summit and Frontier supercomputers. PhD in AI, University of California, Irvine MSc in AI, University of California, Irvine MSc in Applied Mathematics, Moscow Gubkin Institute Her research focuses on machine learning, neural scaling laws, emergent behaviors in foundation models, continual learning, robustness, and neuroscience-inspired AI . She explores how AI systems can become more general, flexible, and aligned with human cognition. Her recent work investigates training dynamics in large language models, efficient pruning techniques, and the development of time-series foundation models. The analysis of her recent publications reveals a strong focus on scaling behaviors, continual adaptation, and robustness in AI systems . Her work spans theoretical understanding of training dynamics (e.g., zero-sum learning), practical optimization methods, and applications in climate modeling and mental health. She emphasizes open science, leading open-source projects and co-founding Nolano.ai to build efficient, compressed foundation models. Canada Excellence Research Chair (CERC) CIFAR AI Chair IBM Eminence & Excellence Award (2018) IBM Outstanding Innovation Award (2018) IBM Outstanding Technical Achievement Award (2017) IBM Research Accomplishment Award (2009) Irina Rish advises a large group of PhD and Master’s students across Université de Montréal, McGill, and Concordia. She leads major research grants and collaborates internationally on HPC-based AI research. She is also the co-founder and CSO of Nolano.ai, driving innovation in efficient AI systems. She leads the Autonomous AI Lab, which focuses on building large-scale foundation models, understanding neural scaling laws, and developing bio-inspired learning systems. She actively organizes reading groups on scaling, continual learning, and out-of-distribution generalization, fostering a collaborative research environment.

Mark Faganمشاهده پروفایل

مدرس

• Public Policy
• Regulatory Policy
• Transportation Policy
• +۳ مورد دیگر

Mark Fagan is a Lecturer in Public Policy at Harvard Kennedy School, with affiliations to the Mossavar-Rahmani Center for Business and Government, Taubman Center for State and Local Government, and Center for Public Leadership. He teaches courses on operations management, policy design, and supply chain management. Previously, he was a Lecturer in Law at Boston University School of Law and a consultant at Norbridge, Inc. Education: MA in City and Regional Planning from Harvard University (199X), BA from Bucknell University (19XX). Research focuses on regulatory policy in competitive markets, autonomous vehicles, transportation systems, and energy markets. Key initiatives include leading the Autonomous Vehicle Policy Scrums initiative and publishing Supply Chain Management: A Public Sector Perspective (2024). His work examines how public policy can optimize supply chains while addressing geopolitical, environmental, and equity challenges. Teaching materials include digital courses on lobbying and advocacy, operations management case studies, and the Architect, Pilot, Scale, Improve policy implementation framework. Professional activities include advising governments on cross-sector policy design and consulting for private-sector clients in transportation, utilities, and telecommunications industries.

David Ryfeمشاهده پروفایل

استاد

• Journalism Studies
• Political Communication
• Media Sociology
• +۳ مورد دیگر

David Ryfe is a Professor and Director of the School of Journalism and Media at The University of Texas at Austin. He previously served as Director of the School of Journalism and Mass Communication at the University of Iowa. His research focuses on the sociology and history of news, political communication, and the evolving role of journalism in democratic societies. He has conducted extensive ethnographic studies of newsrooms and explored the challenges facing journalism in the digital age. His key works include *Can Journalism Survive?* (2012) and *Journalism and the Public* (2017), which examine the adaptability of journalism and its societal role. His current research investigates local news systems in a Midwestern city to assess the near-term future of journalism. Ryfe’s academic leadership emphasizes preparing journalists for industry changes through curricular innovation. He has contributed to debates on media policy, journalism ethics, and the institutional foundations of news practices. His work bridges theoretical frameworks like actor-network theory and institutional theory with empirical studies of newsroom dynamics. He holds a leadership role in fostering collaborative journalism education models and has written on the necessity of public subsidies for sustainable journalism. His research consistently addresses how journalism intersects with democratic processes and public life.

Andrés Monroy-Hernándezمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Social Computing
• Public-interest Technology Platforms
• +۴ مورد دیگر

Andrés Monroy-Hernández is an Assistant Professor at Princeton University's Department of Computer Science, leading the Human-Computer Interaction Lab. He holds a PhD from MIT's Media Lab and has held roles at Microsoft Research and Snap Inc. His research focuses on social computing, public-interest technology, and augmented reality, emphasizing technologies that foster collaboration and connection. He is affiliated with Princeton's Center for Information Technology and Policy, the Keller Center, and serves on Crisis Text Line's board. Education: PhD in Media Arts and Sciences, MIT (2012) Master's in Media Arts and Sciences, MIT (2007) Bachelor's in Electronics Engineering, Tecnológico de Monterrey (2001) Research Interests: Monroy-Hernández explores social computing systems, public-interest platforms (e.g., OpenDeli for food delivery), and social AR (e.g., Capybara). His work emphasizes ethics, marginalized communities, and democratizing technology. Notable projects include Scratch (children's programming), Microsoft's Calendar.help, and Significant Otter (biosignal sharing). Awards & Recognition: MIT Technology Review Innovator Under 35 (2013) CNET's Most Influential Latinos in Tech (2013) Best Paper Awards at CHI, CSCW, HCOMP, ICWSM Grants & Labs: Active in designing open-source protocols and advising tech leaders. His lab collaborates across disciplines, addressing societal challenges through technology. Recent efforts include ethical AI and decentralized social media. Teaching: Teaches social computing and mentors students in HCI and public-interest tech.

• Distributed Algorithms
• Programmable Matter
• Bio-inspired Algorithms
• +۵ مورد دیگر

Andrea W. Richa is a President's Professor at Arizona State University (ASU), holding positions in the School of Computing and Augmented Intelligence (SCAI), Barrett Honors College, and multiple research centers including the Biodesign Institute's Center for Biocomputing, Security, and Society. She specializes in distributed algorithms, programmable matter, and bio-inspired computing. Richa has led major research initiatives, including a DoD MURI award and an NSF CAREER Award, and has delivered keynote speeches at top conferences like DISC and LATIN. Her work focuses on self-organizing particle systems, wireless networks, and algorithmic foundations of active matter. Educations: PhD (Computer Science, Carnegie Mellon University, 1998), M.S. (Computer Science, Carnegie Mellon University, 1995), B.S. (Computer Science, Federal University of Rio de Janeiro, Brazil, 1989). Research Interests: Distributed algorithms, programmable matter, bio-inspired systems, wireless communication models, graph algorithms, combinatorial optimization, and resource allocation. She leads the Self-Organizing Particle Systems Lab and is part of SCAI's Theory and Algorithms group. Awards: 2024 ASU Mentorship Award, 2021 Mentor of the Year, 2017 SCAI Research Excellence Award, NSF CAREER Award (1999), and multiple grants including DoD MURI. Her research spans theoretical and applied domains, with over 150 publications in top venues. Grants: Current DoD MURI funding (2019-25), NSF awards on Markov chain algorithms and active matter (2021-25), and prior funding on programmable matter (2014-2017). Labs/Teams: SOPS Lab (sops.engineering.asu.edu), contributing to interdisciplinary research in algorithmic matter and bio-inspired systems.

Atsuko Hashimotoمشاهده پروفایل

استاد

• Sustainable Tourism Development
• Human Rights in Tourism
• Cultural Heritage Tourism
• +۷ مورد دیگر

Atsuko Hashimoto is a Professor and Graduate Program Director in the Department of Geography and Tourism Studies at Brock University. She holds a PhD in Tourism Management from the University of Surrey, UK, an MSc in Tourism Development from the University of Surrey, and a BA in Psychology from the University of British Columbia, Canada. Her research focuses on socio-cultural dimensions of tourism, including sustainable tourism in rural areas, human rights issues, indigenous tourism in Japan, and dark tourism. She has conducted extensive work on heritage tourism, anime tourism, and the political ecology of tourism. Dr. Hashimoto’s recent research projects include studies on anime tourism in Japan, political ecology of tourism, Ainu indigenous tourism, and hidden Christian heritage tourism. She has published widely in peer-reviewed journals such as Journal of Tourism and Cultural Change , Journal of Heritage Tourism , and Japan Forum . Her teaching includes courses on tourism policy, human rights in development, culinary tourism, and sustainable rural tourism. Her advising and grants include supervising and examining graduate students in tourism studies, particularly focusing on cultural, ethical, and sustainable aspects. She has collaborated on projects addressing community participation in tourism, disaster response, and rural revitalization. Dr. Hashimoto’s work often integrates qualitative methods, including fieldwork, interviews, and content analysis, to explore tourism’s socio-cultural impacts.

• Wind Turbines
• Autonomous Learning
• Deep Learning
• +۸ مورد دیگر

Yolanda Vidal Segui is an Associate Professor in the Department of Mathematics at the Universitat Politècnica de Catalunya (UPC), affiliated with the Escola d'Enginyeria de Barcelona Est (EEBE). Her research focuses on wind energy systems, predictive maintenance, and structural health monitoring of wind turbines. She leads projects in the CoDAlab and WinTurCoM research groups, specializing in data-driven models, condition monitoring, and failure prognosis. Her work integrates machine learning, mathematical modeling, and sensor technology to enhance turbine reliability and energy efficiency. Dr. Vidal holds a PhD in Applied Mathematics and has authored over 350 publications. Her contributions include advancements in SCADA data analysis, vibration-based diagnostics, and AI-driven condition monitoring systems. She has received several accolades, including the WindEurope Technology Workshop recognition and the IFIT Distinction in Mechanism and Machine Science. Her research bridges academia and industry, addressing challenges in offshore wind turbine integrity and maintenance strategies. Active in professional service, she serves on conference committees and editorial boards (e.g., Mechanical Systems and Signal Processing, Wind Energy). Her work emphasizes sustainable energy solutions and has been applied in real-world scenarios like the Alpha Ventus wind farm. She also contributes to educational initiatives, developing innovative teaching materials for engineering students.