جست‌وجوی استاد و پژوهشگر

David Chalmersمشاهده پروفایل

استاد

• Philosophy of Mind
• Consciousness
• Cognitive Science
• +۸ مورد دیگر

David Chalmers is a University Professor of Philosophy and Neural Science at New York University and co-director of the Center for Mind, Brain, and Consciousness. He is also an Honorary Professor of Philosophy at the Australian National University and co-director of the PhilPapers Foundation. His work bridges philosophy, cognitive science, and emerging technologies. Research Interests: Chalmers is best known for his work on the 'hard problem of consciousness'—the challenge of explaining subjective experience. His research spans philosophy of mind, metaphysics, epistemology, philosophy of language, and the foundations of physics and AI. He actively explores the implications of virtual reality, simulation theory, and large language models for philosophy and consciousness studies. Recent Research Trends: His recent publications focus on AI consciousness, the ethical treatment of AI systems, the simulation hypothesis, and the nature of thought in language models. These works reflect a growing engagement with artificial intelligence and digital metaphysics, positioning philosophy at the forefront of technological inquiry. Scientific Awards: While no specific awards are listed in the provided text, Chalmers is widely recognized as one of the most influential contemporary philosophers, particularly in philosophy of mind. Advising and Grants: He mentors students and postdocs, though specific names are not listed. His leadership in the Center for Mind, Brain, and Consciousness and the PhilPapers Foundation suggests active grant-funded research and academic collaboration. Labs and Teams: He co-directs the Center for Mind, Brain, and Consciousness at NYU and the PhilPapers Foundation , both of which support research, publications, and global philosophical discourse in philosophy of mind and related fields.

Dina El-Zanfalyمشاهده پروفایل

استادیار

• Computational Design
• Human-Computer Interaction
• Embodied Interaction
• +۵ مورد دیگر

Dina El-Zanfaly serves as an Assistant Professor in the School of Design at Carnegie Mellon University (CMU), where she directs the hyperSENSE: Embodied Computations Lab. Her work bridges computational design and human-centered interaction, focusing on how physicality shapes sensory experiences and cognitive processes through intelligent systems. Education: PhD in Design and Computation, Massachusetts Institute of Technology (MIT) Master of Science in Design and Computation, MIT (Fulbright scholar) Her research critically examines computational methods for augmenting sensory perception, with emphasis on embodied sense-making in hybrid environments. She investigates co-creative interactions between humans and intelligent systems, exploring how computational tools empower designers and non-designers to shape products, social spaces, and interconnected technologies. Key questions address mutual learning between humans and machines through improvisation and creative production. Analysis of her 2022-2025 publications reveals dominant themes in mixed reality interfaces, AI-augmented skill acquisition (particularly in crafts and welding), and tangible co-creation with generative AI. Her work consistently integrates physical computing with mindfulness applications and privacy-aware smart environments, demonstrating interdisciplinary reach across education, manufacturing, and therapeutic contexts. Scientific Awards: Fulbright Scholarship As lab director, El-Zanfaly mentors students in computational making and embodied interaction projects. Her research is supported through initiatives like Fab Lab Egypt and collaborations with MIT, where she co-founded the Computational Making Group. She chairs major conferences including Fab15 in Egypt and serves on the DESFORUM program committee, indicating significant leadership in maker education and design research communities. She founded and leads the hyperSENSE Lab at CMU, which investigates computational embodiment through projects like Origami Sensei and Sand-in-the-loop. Previously, she co-established the Computational Making Group at MIT and co-founded Fab Lab Egypt (the first community maker space in North Africa/Arab world), demonstrating sustained commitment to global maker ecosystems and interdisciplinary team building.

Shiri Azenkotمشاهده پروفایل

دانشیار

• Accessibility
• Human-Computer Interaction
• Assistive Technology
• +۴ مورد دیگر

Shiri Azenkot is an Associate Professor of Information Science at the Jacobs Technion-Cornell Institute, Cornell Tech, Cornell University, where she directs the Enhancing Ability Lab. She also serves as an affiliate faculty member in the Computer Science Department at the Technion--Israel Institute of Technology. Her research leverages artificial intelligence to design enabling systems that promote equity and improve quality of life for marginalized populations, with a current focus on visual impairments. Her educational background includes a PhD in Computer Science & Engineering from the University of Washington, advised by Richard Ladner and Jacob Wobbrock. Azenkot's research centers on intelligent interactive systems that enhance perception and ability for people with disabilities. She investigates perceptual abilities and behaviors to design novel systems for navigation, STEM learning, and socialization. Her work spans accessibility, human-computer interaction, and the application of AI/XR technologies to create inclusive solutions for blind and low-vision populations, addressing critical gaps in assistive technology. Recent publications reveal strong trends in developing real-time AI-powered assistive tools for low-vision users, accessible STEM education through tactile interfaces, and examining social dynamics of disability in digital spaces. Her work bridges technical innovation with deep user-centered design, particularly in XR accessibility through co-founded initiatives like XR Access. Scientific awards include: NSF CAREER Award NSF CRII Award 10-year Impact Award at MobileHCI Google Faculty Award Azenkot has advised students including Yuhang Zhao (now Assistant Professor at University of Wisconsin-Madison), Lei, and Danielle. Her research is funded by NSF, AOL, Verizon, and Facebook. She co-founded XR Access and leads the Enhancing Ability Lab, which conducts user studies and develops systems like Markit/Talkit and Livefonts. Current projects include XR accessibility REU programs and symposiums advancing industry-academia collaboration. She directs the Enhancing Ability Lab at Cornell Tech and co-leads XR Access, driving community initiatives to make augmented/virtual reality accessible while mentoring the next generation of accessibility researchers through funded REU programs and industry partnerships.

Jan A. Van Mieghemمشاهده پروفایل

عضو هیئت علمی

• Operations Management
• Supply Chain Operations
• Operations Strategy
• +۱۱ مورد دیگر

Jan A. Van Mieghem is the A. C. Buehler Professor and Professor of Operations at the Kellogg School of Management, Northwestern University. He also serves as a Professor by Courtesy at the McCormick School of Engineering and Applied Science. His research spans product, service, and supply chain operations, combining strategic and tactical perspectives with mathematical modeling, stochastic analysis, and empirical verification. Ph.D. in Business, Graduate School of Business, Stanford University (1995) MS in Electrical Engineering, Stanford University (1990) MS in Applied Sciences, KU Leuven, Belgium (1989) His research interests focus on operations strategy, supply chain optimization, and digital operations. He explores topics such as operational hedging, capacity investment, network flexibility, and the application of AI in inventory management. His work addresses healthcare operations, dual sourcing, and the interplay between collaboration and productivity in service networks. Recent research trends center on AI-driven inventory systems, dual sourcing under uncertainty, and healthcare resource allocation. He has authored over 60 academic articles and two textbooks: Operations Strategy: Principles and Practice and Managing Business Process Flows: Principles of Operations Management . 2023: First place in POMS College of Supply Chain Management Student Paper Competition 2020: Flexibility Excellence Award 2014: Wickham Skinner Award 2007: First MSOM Best Paper Award Van Mieghem has held leadership roles at Kellogg, including Deputy Dean (2023–present), Faculty Director of the Executive MBA program (2012–2017), and Chairman of the Department of Managerial Economics and Decision Sciences (2006–2009). He advises firms on operations strategy and management and has served on editorial boards of Management Science , Manufacturing & Service Operations Management , and Operations Research . He has mentored numerous Ph.D. students, including Audrey Bazerghi, Simrita Singh, Yangzi Jiang, and Dennis J. Zhang, who have secured academic and industry positions. His teaching spans operations management and strategy across MBA, Ph.D., and executive programs. Van Mieghem's work examines the intersection of operations strategy and execution, emphasizing financial value as a guiding metric. His empirical studies leverage real-world data from healthcare, manufacturing, and e-commerce to validate theoretical models and develop practical frameworks.

Emma Mercierمشاهده پروفایل

دانشیار

• Computer-Supported Collaborative Learning
• Social Interaction and Learning
• Classroom Technology
• +۳ مورد دیگر

Emma Mercier is an Associate Professor and Associate Head & Director of Graduate Programs in the Department of Curriculum & Instruction at the University of Illinois, Urbana-Champaign's College of Education. She also holds a secondary appointment in the Department of Educational Psychology, demonstrating her interdisciplinary approach to educational research. Dr. Mercier's research focuses on the relationship between social interaction and learning, with particular emphasis on collaboration and computer-supported collaborative learning (CSCL) in classroom settings. Her work examines how technology influences group interactions and learning, especially through the use of multi-touch tables in classrooms. She investigates between-group and whole-class interactions, device ecologies, teacher tools, and classroom contexts that shape learning opportunities in technology-enhanced environments. Her research spans K-12 and higher education settings, with significant contributions to engineering education and the design of collaborative learning spaces. Analysis of Dr. Mercier's recent publications reveals a strong focus on orchestration tools that support instructors in facilitating collaborative learning, the role of technology (particularly augmented and virtual reality) in collaborative problem solving, and the design of effective collaborative tasks in engineering education. Her work bridges educational theory with practical classroom applications, often employing design-based implementation research methodologies. A notable trend is her increasing focus on machine learning applications to analyze and support collaborative interactions in real-time classroom settings. Dr. Mercier has been actively involved in mentoring graduate students and teaching courses related to educational research methods, child development and technology, and advanced study of education. Her work has involved significant collaboration with researchers across institutions and disciplines, particularly in the fields of educational technology, learning sciences, and engineering education. Her research has been supported through various projects, including the CSTEPS (Collaborative Support Tools for Engineering Problem Solving) initiative, which has developed and evaluated tools to support collaborative learning in engineering classrooms. This work has involved partnerships with teaching assistants, course assistants, and faculty to implement and refine collaborative learning approaches in undergraduate engineering courses.

Kaspar Althoeferمشاهده پروفایل

استاد

• Robotics
• Soft Robotics
• Systems Engineering
• +۷ مورد دیگر

Professor Kaspar Althoefer is a Professor of Robotics Engineering at the School of Engineering and Materials Science , Queen Mary University of London. He leads the Centre for Advanced Robotics @ Queen Mary (ARQ) and serves as Programme Director for BEng/MEng Robotics Engineering. His research focuses on robot autonomy, soft robotics , and tactile sensing with applications in healthcare, nuclear engineering, and manufacturing. Research Highlights: Soft Robotics, Tactile Sensing, Haptic Perception, Minimally Invasive Surgery, Human-Robot Interaction Key Collaborations: St Thomas Hospital London, EU Horizon Europe, EPSRC, Innovate UK Accomplishments: £10M+ as Principal Investigator, 500+ peer-reviewed papers, 7 patent applications His work spans robot autonomy , soft robotics , and machine learning , particularly in modeling tool-environment interactions and developing tactile sensors for surgical and nuclear applications. Recent projects include intelligent endoscopic microsurgery robots and eversion robots for radiation mapping . Scientific Awards: Senior Member, IEEE He supervises a team of 6 PhD students and postdoctoral researchers, with completed projects in soft robotic gloves , pneumatic actuators , and eversion robot navigation .

Thomas Wildمشاهده پروفایل

استاد

• Manycore system on chip (SoC) architectures
• Network processor (NPU) architectures
• On-chip communication architectures
• +۳ مورد دیگر

Dr.-Ing. Thomas Wild serves as an Academic Director at the Technical University of Munich (TUM), working within the TUM School of Computation, Information and Technology at the Chair of Integrated Systems. He maintains an active research and teaching role at the institution, with his office located in Building N1 (Theresienstr. 90), Room N2136 in Munich, Germany. Dr. Wild's research focuses on advanced computing architectures, with particular emphasis on manycore system on chip (SoC) architectures, network processor (NPU) architectures, on-chip communication architectures including networks on chip (NoC), and system level design methodologies. His work bridges theoretical research with practical implementation, often exploring design space exploration techniques to optimize system performance. The evolution of his research over two decades demonstrates a consistent focus on improving communication architectures and system-level design for embedded and high-performance computing platforms. His recent publications (2023-2025) reveal a growing integration of machine learning techniques with traditional hardware design, particularly in optimizing power-performance tradeoffs in embedded systems. There's a clear trend toward hardware-software co-design approaches, with significant work on SmartNICs, Linux system optimization, and network processing acceleration. His research shows strong interdisciplinary connections between computer architecture, networking, and machine learning. EUROPRACTICE representative for TUM city campus, facilitating access to commercial EDA tools for academic purposes Active collaborator with Professor Andreas Herkersdorf and other researchers at TUM Focus on practical implementations with FPGA-based prototyping and real system modifications Dr. Wild teaches several hardware design courses including VHDL Lab, SystemC Lab, and HW/SW Codesign, contributing to the education of next-generation computer engineers. His teaching directly complements his research in system design and hardware acceleration, providing students with hands-on experience in cutting-edge technologies.

Reza Taheriمشاهده پروفایل

استاد

• Pharmacy Education
• Leadership Development
• Curriculum Design
• +۳ مورد دیگر

Reza Taheri is a Professor and Senior Associate Dean of Pharmacy Education at Chapman University School of Pharmacy. His expertise spans leadership development, curriculum design, strategic planning, and programmatic accreditation in pharmacy education. Previously, he served as Chief Strategy Officer at RxPrep Inc., founding Associate Dean at West Coast University, and held faculty and leadership roles at Western University of Health Sciences and Loma Linda University School of Pharmacy. Education: Doctor of Pharmacy (University of Minnesota), Executive MBA (University of Southern California) Current Role: Department of Pharmacy Practice, Chapman University His research focuses on pharmacy education , emphasizing emotional intelligence coaching , interprofessional collaboration , and virtual learning modalities . Recent studies examine mock-trial simulations for teaching-assessment, supplemental instruction efficacy, and interprofessional virtual simulations for leadership and patient advocacy. Publications highlight technology integration in pharmacy curricula and resilience measurement in educational contexts. Taheri collaborates extensively on interprofessional education (IPE) interventions, analyzing their impact on patient outcomes like length of stay , medical errors , and mortality . He is a certified Emotional Intelligence Coach and trainer with Crucial Learning and The Table Group.

Prabodh Bajpaiمشاهده پروفایل

استاد

• Renewable Energy Systems
• Power System Restructuring
• Restructured Electricity Market
• +۷ مورد دیگر

Dr. Prabodh Bajpai is a Professor in the Department of Sustainable Energy Engineering at the Indian Institute of Technology Kanpur. Previously, he served as an Associate Professor at the same department from July 2022 to December 2022, and before that at the Electrical Engineering Department of IIT Kharagpur from July 2014 to June 2022. He began his academic career as an Assistant Professor at IIT Kharagpur from June 2008 to July 2014. His educational background includes a Ph.D. in Electrical Engineering (Power Systems) from IIT Kanpur (2008), M.Tech in Energy Studies from IIT Delhi (2001), and B.E. in Electrical Engineering from IIT Roorkee (1997). Dr. Bajpai's research spans renewable energy integration, power system operation and control, microgrid technologies, and smart grid applications. His work focuses on practical implementation of sustainable energy solutions with emphasis on power electronics, energy storage, and grid stability. He has made significant contributions to the fields of distributed generation integration, protection schemes for renewable-rich systems, and energy management in microgrids. His recent publications show a strong focus on DC microgrids, multi-port power converters, and advanced control strategies for renewable integration. The research demonstrates increasing sophistication in power electronics applications for sustainable energy systems, with particular emphasis on practical implementations for commercial and agricultural applications. Dr. Bajpai actively mentors graduate students, currently supervising seven students across PhD and M.Tech programs. His teaching portfolio includes core courses in electrical power engineering, renewables-integrated smart power systems, and energy systems modeling and analysis at IIT Kanpur, building on his extensive teaching experience at IIT Kharagpur where he developed several new courses in renewable energy systems. His research group maintains a Hybrid AC/DC Microgrid test facility and has developed a Renewable Hybrid Energy Power Plant for stand-alone applications, demonstrating his commitment to translating theoretical research into practical implementations.

Arie E. Kaufmanمشاهده پروفایل

استاد

• Computer Graphics
• Visualization
• Virtual Reality
• +۴ مورد دیگر

Arie E. Kaufman is a Distinguished Professor in the Department of Computer Science at Stony Brook University, serving as Chief Scientist of the Center of Excellence in Wireless and Information Technology (CEWIT) and Director of the Center of Visual Computing (CVC). He additionally holds a Distinguished Professorship in Radiology, with a 40+ year career at Stony Brook since joining in 1985 and chairing the CS department from 1999-2009. His seminal research spans computer graphics, visualization, and virtual reality with biomedical applications, pioneering breakthroughs including 3D Virtual Colonoscopy (FDA-approved colon cancer screening), Cube hardware architectures (commercialized as VolumePro), the Reality Deck (1.5 billion-pixel immersive display), and foundational work in volume visualization. His interests focus on real-time rendering, medical imaging, and immersive analytics, with recent work integrating machine learning for healthcare and environmental risk visualization. Recent publications demonstrate continued leadership in high-resolution immersive displays (Silo), XR analytics with LLMs, storm surge visualization, and neural reconstruction techniques. His work bridges theoretical innovation with practical applications, particularly in pancreatic cancer prognosis and disaster preparedness. Major honors include: IEEE Visualization Career Award (2005) Fellow of the National Academy of Inventors (2017) ACM Fellow (2009) IEEE Fellow (1998) Long Island Technology Hall of Fame (2013) European Academy of Sciences membership (2002) As PI on 100+ research grants, Kaufman's work has generated 300+ refereed papers, 40+ patents, and extensive media coverage (New York Times, Science, Wall Street Journal). He leads the Center of Visual Computing with focus on translational research, including VolVis software (5,000+ installations) and Reality Deck deployments for big data analytics. His lab develops cutting-edge visualization infrastructure for medical diagnostics and environmental modeling, with current projects advancing immersive storm surge analytics, neural structure extraction, and VR-based risk communication systems. Future work emphasizes AI-enhanced visualization for precision medicine and climate resilience planning.

Pere-Pau Vázquezمشاهده پروفایل

استادیار

• Information Visualization
• Scientific Visualization
• Medical Data Visualization
• +۶ مورد دیگر

Pere-Pau Vázquez is an Assistant Professor in AI for Visual Computing at the Computer Vision Lab, TU Wien, Austria . Previously, he held academic positions at the ViRVIG Group and Facultat d'Informàtica de Barcelona (UPC) , where he taught courses in Programming, Computer Graphics, and Visualization for over 20 years. His research focuses on Information Visualization, Scientific Visualization, Medical Data Visualization, Molecular Visualization, and AI applications to Visual Computing . Current Teaching : Data Visualization, Fast Realistic Rendering, Information Visualization, Medical Images, Scientific Visualization, Virtual Reality, and 3D Medical Visualization. Former PhD Students : Elena Molina, Alexandra Cortez, Jesús Díaz, Pedro Hermosilla, Eva Monclús. His scientific awards include the Best PhD Thesis Award (UPC, 2003), Best Student Paper Award (SPIE, 2012), and Best Paper Award (International Conference on Computer Graphics Theory and Applications, 2013). Recent publications explore AI integration in biomedical visualization, molecular data analysis, and interactive techniques for volume rendering. He serves on the EuroGraphics Executive Board as Secretary and is active in steering committees for EuroVis and Visual Computing for Biology and Medicine . His work bridges Computer Graphics, Artificial Intelligence, and Human-Computer Interaction , with applications in medical and molecular data analysis.

Allison M McFallمشاهده پروفایل

عضو هیئت علمی

• HIV Epidemiology
• Key Populations
• People Who Inject Drugs
• +۷ مورد دیگر

Allison McFall is an Assistant Research Professor in the Department of Epidemiology at Johns Hopkins University Bloomberg School of Public Health. Her work focuses on HIV epidemiology among key populations in India, particularly people who inject drugs (PWID) and men who have sex with men (MSM). Primary Division: Infectious Disease Epidemiology Active Since: 2013 Her research emphasizes optimization of HIV prevention, care, and treatment systems. Key methodologies include: Respondent-driven sampling Monitoring and evaluation of service delivery Electronic database design for epidemiological research Recent publications analyze: Antiretroviral therapy outcomes in PWID and MSM HCV treatment adherence support HIV self-testing technologies Geospatial targeting for health services McFall's work spans 59 research outputs with active collaborations across India on viral hepatitis-HIV coinfections and integrated care models.

Dirk Holtbrüggeمشاهده پروفایل

استاد

• International Management
• Management in Multinational Corporations
• Intercultural Management Research
• +۴ مورد دیگر

Prof. Dr. Dirk Holtbrügge is a Professor and Holder of the Chair of Business Administration, especially International Management at Friedrich-Alexander University Erlangen-Nuremberg (FAU). He serves as Dean for International Affairs of the Faculty of Economics and Social Sciences and is jointly responsible for the department's MBA program design. His academic journey began at the University of Dortmund where he studied economics and social sciences from 1983 to 1989, earning his doctorate in 1995 and habilitation in 2000. Prof. Holtbrügge's research focuses on management in multinational corporations, intercultural management research, management in emerging markets (particularly China, India, and Russia), international human resource management, and corporate social and environmental responsibility. His work demonstrates a strong emphasis on practical applications through numerous case studies of German multinational corporations operating globally. His recent publications (2024-2025) reveal a growing focus on sustainability in international business, corporate social responsibility in challenging contexts, and the complexities of internationalization strategies across diverse industries. The research shows particular attention to German companies expanding into emerging markets and navigating cultural differences. Listed in Handelsblatt rankings of 2010, 2012, and 2014 as one of the leading business economists in Germany, Austria, and Switzerland Listed in Wirtschaftswoche rankings of 2019 and 2022 as one of the leading business economists Listed as one of the top 2% most cited scientists in 2020 in Stanford University's Top 2 Percent Scientists list Prof. Holtbrügge maintains strong connections with industry through numerous case studies and collaborative research projects. His position as Dean for International Affairs reflects his commitment to fostering global academic partnerships and developing international business education programs. He has undertaken numerous teaching and research visits worldwide, including in China, France, Great Britain, India, Japan, Russia, South Africa, and the USA, enriching his practical understanding of international business challenges.

• Optical fiber communication
• Space-division multiplexing (SDM)
• Wavelength-division multiplexing (WDM)
• +۵ مورد دیگر

Itsuro Morita is Professor in the School of Fundamental Science and Engineering, Faculty of Science and Engineering, Waseda University, Tokyo. Before joining Waseda in 2022 he spent 23 years at KDDI R&D Laboratories, advancing from researcher to executive research fellow, and has been a visiting researcher at Stanford University. He is an IEEE Fellow and IEICE Fellow recognized for pioneering large-capacity, long-haul optical transmission systems. Education: 2004 – 2005 Tokyo Institute of Technology, Graduate School of Science & Engineering, Department of Electrical and Electronic Engineering (Doctoral coursework) 1990 – 1992 Tokyo Institute of Technology, Graduate School of Science & Engineering, Department of Physical Electronics (M.E.) 1986 – 1990 Tokyo Institute of Technology, School of Engineering (B.E.) Research Interests: Morita’s work sits at the intersection of optical fiber communication and software-defined networking. He explores ultra-high-capacity transmission via space-division multiplexing (multi-core/few-mode fibers), real-time MIMO digital signal processing for modal crosstalk mitigation, and SDN/NFV orchestration of disaggregated optical networks. Additional interests include quality-of-transmission estimation using machine learning, telemetry-enabled control planes (gRPC/gNMI), and metro-embedded edge/cloud architectures for IoT services. Publication Trends: Recent articles emphasize two converging themes: (i) petabit-per-second SDM/WDM experiments using novel fiber geometries and real-time DSP, and (ii) cloud-native SDN control frameworks that integrate machine-learning-based QoT prediction, YANG/NETCONF modeling, and open APIs (TAPI/OpenConfig) for multi-domain, partially disaggregated networks. These works collectively push both the physical capacity frontier and the agility of next-generation optical infrastructure. Scientific Awards: C&C Prize 2024 (NEC C&C Foundation) – contributions to WDM optical submarine cable systems IEICE Achievement Award 2021 – pioneering research on 10-Pbit/s ultra-large-capacity SDM transmission Telecom System Technology Award 2021 – 10.16-Pbit/s dense SDM/WDM transmission record IEEE Fellow (2021) – contributions to large-capacity high-speed transmission systems IEICE Fellow (2020) – research on trans-oceanic high-speed optical signal transmission Ichimura Industrial Award – Contribution Prize 2018 – development of terabit-class submarine cable systems Maejima Hisoka Award 2012 – proposal and demonstration of distributed-control soliton communication Minister of Economy, Trade and Industry Award for Advanced Technology 2006 – 160 Gbit/s ultra-high-speed optical transmission technology Advising & Grants: At Waseda University Morita advises graduate students on experimental photonic networking and leads externally funded projects on petabit SDM transmission and SDN orchestration. While specific grant numbers are not disclosed, his continuous industry-university collaborative testbeds (with KDDI, CTTC, and others) indicate substantial competitive funding. Labs & Teams: He heads the Optical Space-Division-Multiplexing Laboratory at Waseda, maintaining joint experimental facilities with KDDI Research and international partners (e.g., CTTC, Spain). The group operates real-time coherent MIMO testbeds, multi-domain SDN controllers, and fiber-level SDM prototypes capable of petabit-per-second demonstrations.

• Artificial Intelligence
• Multi-agent systems
• Machine learning
• +۵ مورد دیگر

Toshiharu Sugawara is a Professor in the Department of Computer Science and Engineering at Waseda University's Faculty of Science and Engineering, School of Fundamental Science and Engineering, a position he has held since April 2007. With a Ph.D. in Engineering from Waseda University, his research spans multiple domains in artificial intelligence and multi-agent systems, maintaining active collaborations across international institutions and contributing significantly to the field through numerous publications and awards. Dr. Sugawara received his BS and MS degrees in Mathematics from Waseda University in 1980 and 1982, respectively, followed by his Ph.D. in 1992. Before joining Waseda University as faculty, he worked as a Research Scientist at NTT Laboratories from 1982 to 2007, with a visiting researcher position at the University of Massachusetts at Amherst in 1992-1993. He also held part-time lecturer positions at University of Electro-Communications (2003-2007), Waseda University (2004-2006), and Tokyo University of Agriculture and Technology (1990-1991). His research interests focus on artificial intelligence with particular expertise in multi-agent systems, machine learning, cooperation and coordination mechanisms, soft computing, computational social science, and social informatics. His work bridges theoretical foundations with practical applications in network management and information systems. Recent publications demonstrate a strong trajectory toward interpretable multi-agent reinforcement learning, efficient path planning algorithms, and modeling social behaviors in complex networks. His research group has made significant contributions to multi-agent path finding, cooperative task execution, and understanding virtual economies in social media platforms. Dr. Sugawara has received numerous prestigious awards including multiple Best Paper Awards at JAWS conferences (2014, 2015, 2018), ACM SAC 2015, and various research paper awards from Japanese academic societies. His work on multi-agent systems has been consistently recognized for its theoretical rigor and practical impact. As an advisor, Dr. Sugawara has mentored numerous students who have become prominent researchers in their own right, with many co-authoring papers that have received awards. His laboratory maintains strong collaborations with industry partners, particularly in the areas of network management and intelligent systems. Current research directions include developing interpretable multi-agent reinforcement learning frameworks, optimizing multi-agent coordination in constrained environments, and analyzing social dynamics in virtual economies.