جست‌وجوی استاد و پژوهشگر

Konrad Schindlerمشاهده پروفایل

استاد

• Photogrammetry
• Remote Sensing
• Computer Vision
• +۳ مورد دیگر

Prof. Konrad Schindler holds the position of Full Professor at the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich. He is also the Head of the Institute of Geodesy and Photogrammetry (IGP), leading research and educational activities in geomatics and computer vision. His career spans roles as a Photogrammetric Engineer, scientific assistant, postdoc researcher, and academic faculty across institutions including Graz University of Technology, Monash University, and TU Darmstadt before joining ETH Zürich in 2010. Education: Undergraduate studies in Geodesy (1992–1995), Graz University of Technology, Austria MEng in Photogrammetry and Geoinformation (1995–1999), Vienna University of Technology, Austria PhD in Computer Science (2001–2003), Graz University of Technology, Austria Research focuses on Photogrammetry , Remote Sensing , Computer Vision , and Image Understanding with interdisciplinary applications in environmental monitoring, geospatial analysis, and disaster response. He develops computational methods for 3D reconstruction, fusion of multi-modal data, and AI-driven solutions for satellite imagery interpretation. His work bridges geomatic engineering and machine learning to address challenges in urban mapping, climate modeling, and biological systems analysis. Publications reflect expertise in geospatial AI, diffusion models, and benchmarking datasets for disaster resilience. Notable works include Marigold (image analysis adaptation) and BRIGHT (building damage assessment). His research emphasizes practicality and scalability, such as affordable depth estimation and global biomass datasets. He has received the 2013 Marr Prize Honourable Mention (IEEE) and the 2012 U.V. Helava Award (ISPRS), alongside several Best Presentation Awards. His contributions span technical leadership, editorial roles (ISPRS Journal), and service to Swiss remote sensing commissions. Advising and grants: While no specific advisee names or grant details are listed, his career trajectory includes mentoring postdocs and junior faculty. He teaches advanced courses in Photogrammetry , Image Interpretation , and Machine Vision , integrating cutting-edge AI techniques into curricula. His research group collaborates on global-scale projects like canopy height mapping and satellite-based climate variable assessments. Labs/Teams: As Institute Head, he oversees the IGP lab at ETH Zürich, with prior affiliations including the Digital Perception Lab (Monash University) and the Computer Vision Lab (ETH Zurich). His work often involves multi-institutional collaborations focused on geospatial AI and environmental science.

Arti Singhمشاهده پروفایل

استادیار

• Plant breeding
• Soybean diseases
• Genomics
• +۳ مورد دیگر

Arti Singh is an Assistant Professor in the Department of Agronomy at Iowa State University. Her research focuses on plant breeding, soybean diseases, genomics, and phenomics, with a strong emphasis on integrating artificial intelligence and high-throughput technologies into agricultural systems. She leads projects involving AI-driven disease identification, precision agriculture, and crop improvement strategies. Her expertise includes developing machine learning models for real-time weed and insect classification (e.g., WeedNet and InsectNet), deploying drones and ground robots for crop phenotyping, and leveraging genomic data to map traits like flowering time and disease resistance in legumes. Singh collaborates on initiatives like the AIIRA Institute for Resilient Agriculture and the BioTrove biodiversity dataset. Singh’s work spans plant stress phenotyping, digital twin technologies for plant sciences, and multi-sensor phenotyping for early disease detection. Her research bridges computational methods with traditional agronomy, aiming to enhance crop resilience and sustainability in the face of environmental challenges. Her recent projects include optimizing robotic navigation for precision agriculture, improving soybean yield estimation via video analysis, and dissecting genetic architectures of traits in mungbean and soybean using GWAS and genomic tools. She actively contributes to conferences and publishes in high-impact journals, advancing both foundational and applied aspects of agricultural science.

Farzad Mashayekمشاهده پروفایل

استاد

• Turbulent Reacting Flow
• Plasma Flow
• Electrostatic Atomization
• +۹ مورد دیگر

Farzad Mashayek is a Professor and Department Head of Aerospace and Mechanical Engineering at the University of Arizona, College of Engineering. He is a member of the Graduate Faculty and leads the Computational Multiphase Transport Laboratory. His research integrates high-fidelity simulations, machine learning, and experimental validation across diverse domains in fluid dynamics and energy systems. Educational Background: PhD in Mechanical Engineering, State University of New York at Buffalo, Buffalo, NY MS in Mechanical Engineering, Sharif University of Technology, Tehran, Iran BS in Mechanical Engineering, Sharif University of Technology, Tehran, Iran His research interests include turbulent reacting flows, plasma dynamics, electrostatic atomization, solid-ion and lithium batteries, computational fluid dynamics, and machine learning applications in engineering. He employs high-order spectral element methods, phase-field modeling, and deep neural networks to study complex multiphysics phenomena such as drop impact, battery degradation, and turbulence modeling. The recent publications reflect a strong trend toward integrating machine learning with multiphysics simulations, particularly in battery safety (thermal runaway prediction), materials characterization (STEM image analysis), and fluid dynamics (modal analysis of turbulence). His work often involves collaboration with experimental groups to validate models, especially in dental aerosol suppression and electrohydrodynamics. Scientific Awards: Sustained Service Award, American Institute of Aeronautics and Astronautics (AIAA), Spring 2022 Best Presentation Award, The 20th International Conference on Computational Mathematics, Parallel and Distributed Computing, Summer I 2018 Dr. Mashayek has secured funding from NSF (GOALI program) for controlled coating via charged droplet deposition. He advises graduate students and postdoctoral researchers in computational mechanics and energy systems, fostering interdisciplinary research. He has contributed to engineering education, particularly during the pandemic, with active learning strategies in online instruction. He leads a dynamic research team focused on advancing simulation tools and applying them to real-world challenges in energy, manufacturing, and public health.

Junfu Zhangمشاهده پروفایل

استاد

• Urban Economics
• Regional Economic Development
• Entrepreneurship
• +۴ مورد دیگر

Junfu Zhang is a Professor of Economics and Department Chair at Clark University. His research focuses on applied microeconomics, particularly urban and regional economics, with an emphasis on urbanization in China, entrepreneurship, regional development, and racial housing segregation. He holds a B.A. from Renmin University of China (1993), and M.A. and Ph.D. from Johns Hopkins University (1999, 2001). Prior to joining Clark in 2006, he was a research fellow at the Public Policy Institute of California and a Brookings Institution fellow (2000–2001). He has been an IZA Research Fellow since 2007 and served as President of the Chinese Economists Society (2019–2020). Education: B.A., International Economics, Renmin University of China, 1993 M.A., Economics, Clark University, 1997 M.A., Economics, Johns Hopkins University, 1999 Ph.D., Economics, Johns Hopkins University, 2001 Research Interests: Dr. Zhang's research explores urbanization dynamics in China, including land use policies, housing tenure systems, and economic segregation. His work also addresses entrepreneurship, high-tech industrial clusters, and the economic impacts of urbanization. Recent studies include analyses of land regulation, Super Bowl economic effects, and gender competition in labor markets. Recent Research Trends: His articles reflect a focus on China's socio-economic challenges, such as urban land policies, housing wealth effects, and regional development disparities. Collaborative projects with institutions like IZA and CES highlight interdisciplinary engagement. Awards and Affiliations: IZA Research Fellow (2007–present) Former President, Chinese Economists Society (2019–2020) Advising and Grants: No specific grant or student advising details are listed, though his research often involves collaborative teams. His work is supported by institutional affiliations and academic networks. Labs and Teams: No dedicated labs are mentioned, but his research engages interdisciplinary teams focusing on urban economics and regional policy.

Andrew Radinمشاهده پروفایل

عضو هیئت علمی

• European Security
• Military Strategy
• State Building
• +۱۲ مورد دیگر

Andrew Radin is a Senior Political Scientist at the RAND Corporation and Associate Director of the Master of National Security Policy Program at the RAND School of Public Policy. His work focuses on European security, military activities in space, and state-building, with expertise in NATO, Russia, Ukraine, and Afghanistan. Ph.D. in Political Science, MIT B.A. in Political Science and Mathematics, University of Chicago Postdoctoral Fellow, Harvard Kennedy School Postdoctoral Fellow, University of Southern California His research centers on European and Eurasian security , military strategy , and state-building in weak states . He emphasizes the role of local politics in institution-building and has conducted case studies in Bosnia, Kosovo, Iraq, Timor-Leste, and Ukraine. His work explores hybrid warfare, deterrence, security sector reform, and U.S. policy toward Russia and China. His recent publications reveal a strong trend in analyzing space as a domain of military competition , NATO deterrence strategies , and Russian gray-zone aggression . Topics frequently include escalation dynamics, allied cooperation, and the future of the liberal international order. His research combines policy relevance with academic rigor. Scientific Contributions and Recognition: Author of Institution Building in Weak States: The Primacy of Local Politics (Georgetown University Press) Published in Security Studies , Journal of Conflict Resolution , Washington Quarterly , and War on the Rocks Contributor to high-impact RAND reports on Ukraine, NATO, Russia, and international order Andrew Radin has advised on national security policy, including serving as Country Director for Afghanistan in the Office of the Under Secretary of Defense for Policy. He previously taught as an adjunct professor at Georgetown University. He has not received mention of specific grants or student advisees, but his leadership in the Master of National Security Policy program suggests mentorship and program development responsibilities. He is active in shaping U.S. defense and foreign policy through research and commentary. Laboratories, Teams, and Research Groups: He is affiliated with the RAND Corporation’s international security research division and contributes to projects on global competition, military strategy, and political warfare. His work is often collaborative, involving multidisciplinary teams focused on defense policy and strategic stability.

• Medical Physics
• Radiation Oncology
• Medical Imaging
• +۳ مورد دیگر

Dr. Saree Alnaghy is an Honorary Associate Professor at the University of Wollongong's Faculty of Engineering and Information Sciences, affiliated with the Centre for Medical Radiation Physics. She holds a Bachelor of Medical and Radiation Physics (Honours) and a PhD in Physics from the University of Wollongong (2009–2017). Her research focuses on advanced medical imaging and radiation therapy technologies, including photon counting detectors, dosimetry systems, and robotic motion phantoms for quality assurance. Key research areas include: Development of novel X-ray detectors for radiotherapy guidance High-resolution dosimetry techniques using silicon and polymer-based systems Integration of real-time imaging in radiation therapy Robotic systems for motion management in oncology Her work has been supported by grants such as 'Sharper Targeting, Brighter Future' (2024) and 'Bringing Colour to Radiotherapy' (2021–2025). She currently supervises PhD and MRes students on projects involving photon counting CT scanners and radiotherapy imaging. Alnaghy also serves as a Radiation Oncology Medical Physics Registrar at the Nelune Comprehensive Cancer Centre.

• Strategic Human Resource Management
• Work and Employee Well-being
• Job Satisfaction
• +۳ مورد دیگر

Professor Peter Boxall is a Chair in Human Resource Management at the University of Auckland Business School, Department of Management & International Business. He holds a PhD from Monash University and an MCom from the University of Auckland. His research focuses on strategic human resource management and work-related well-being, with notable contributions to understanding high-involvement work systems and HR analytics. He has held visiting professorships at Leeds, Tilburg, and Toulouse, among others. His roles include Associate Dean (Research and PBRF) and leadership in editorial boards for journals like Human Resource Management Journal . Notable awards include the 2023 Distinguished Fellow of HRNZ and multiple Emerald Awards. He teaches courses such as MGMT 304 HR Policy and Practice and supervises PhD students in HRM. His work emphasizes bridging HR practices with organizational and societal outcomes. Education: PhD (Monash), MCom (Auckland), Distinguished Fellow HRNZ Visiting Roles: Leeds, Tilburg, Toulouse, Bath Editorial Roles: Asia Pacific Journal of Human Resources, Human Resource Management Journal His research addresses strategic HRM’s role in organizational success and its impact on employee well-being. Recent studies explore HR analytics, lean production effects, and Industrie 4.0 implications. Awards highlight his scholarly contributions and industry impact. Administrative leadership includes overseeing research initiatives and PBRF evaluations at the Business School. Awards: 2023 Distinguished Fellow, 2020 Emerald Literati Award Teaching: MGMT 223, MGMT 304, GLMI 705

Sebastian Schererمشاهده پروفایل

استاد پژوهشی

• Robotics
• Unmanned Aerial Vehicles
• Autonomous Navigation
• +۱۳ مورد دیگر

Sebastian Scherer is an Associate Research Professor at the Robotics Institute (RI), Carnegie Mellon University (CMU), where he leads cutting-edge research in autonomous aerial systems and robotics. His work focuses on enabling unmanned rotorcraft to operate safely and efficiently in cluttered, low-altitude, and extreme environments. Education: Ph.D. in Robotics, Carnegie Mellon University (2010) MS in Robotics, Carnegie Mellon University (2007) BS in Computer Science (Minor in Robotics), Carnegie Mellon University (2004) His research interests span robotics, artificial intelligence, autonomous navigation, obstacle avoidance, SLAM, visual-inertial odometry, energy infrastructure, and public policy . He has made seminal contributions to UAV autonomy, including the first obstacle avoidance for micro aerial vehicles in natural environments (2008) and the first automatic landing zone detection and landing on a full-size helicopter (2010). His recent publications (2023–2025) demonstrate a strong focus on resilient autonomy, multi-robot exploration, foundation models for robotics, and large-scale dataset development. His team has released key datasets like TartanGround , BETTY , and SubT-MRS , and simulation tools like Pegasus Simulator , indicating a systems-level approach to advancing real-world autonomy. The research trends emphasize self-supervised learning, robust perception, risk-aware planning, and multi-modal fusion for off-road and urban environments. Scientific Awards: Popular Science Best of What's New 2010 Award AIAA@Infotech Best Paper Runner-up Award (2010) Siebel Scholar Dr. Scherer has advised numerous students and leads a vibrant research group focused on high-impact robotics applications. He has secured significant grants related to UAV autonomy, energy infrastructure, and urban air mobility. His lab develops experimental infrastructure such as AIrTonomy for testing next-generation autonomous aerial vehicles. He is actively involved in advancing SLAM and localization in extreme environments, notably through participation in the DARPA Subterranean Challenge. His team develops large-scale datasets and benchmarking frameworks to push the boundaries of robustness and generalization in mobile robotics.

Oana Cocarascuمشاهده پروفایل

مدرس ارشد

• Argument mining
• Explainable AI
• Machine learning
• +۵ مورد دیگر

Dr. Oana Cocarascu is a Senior Lecturer in Artificial Intelligence at the Department of Informatics, Faculty of Natural, Mathematical & Engineering Sciences, King's College London. She holds a PhD and MEng in Computing (Artificial Intelligence) from Imperial College London and conducts applied research focusing on how artificial intelligence can be deployed to support real-world applications, with machine learning and natural language processing as core components of her work. Her research interests span argument mining, explainable AI, machine learning, natural language processing, and symbolic reasoning. She is particularly focused on developing AI systems that can provide transparent, accountable, and ethical decision-making processes. Her work addresses critical challenges in bias mitigation, fairness metrics, fact verification systems, and argumentation-based explanations for complex AI decisions. Analysis of her recent publications (2023-2025) reveals a strong focus on fairness in AI systems, with particular attention to individual fairness metrics and nuanced evaluation frameworks. She has made significant contributions to fact verification systems, especially in multimodal contexts involving charts and tabular data. Her work increasingly integrates argumentation theory with natural language processing to create explainable AI systems that can justify their decisions through structured reasoning. Dr. Cocarascu leads an EPSRC-funded project titled 'A framework for evaluating and explaining the robustness of NLP models' (2024-2027) and is actively involved in the Natural Language Processing Group at KCL. Her research fingerprint shows strong activity in argumentation (100%), decision-making (74%), artificial intelligence (50%), explainable AI (39%), and bias mitigation (35%). She has contributed to numerous high-impact publications in top venues including ACL, EMNLP, AAAI, and the Journal of Artificial Intelligence Research, with a particular focus on making AI systems more transparent, accountable, and aligned with human values. Her work intersects with UN Sustainable Development Goals, particularly those related to reducing inequality and building resilient infrastructure.

Nate Fosterمشاهده پروفایل

استاد

• Programming Languages
• Networking
• Databases
• +۵ مورد دیگر

Nate Foster is a Professor of Computer Science at Cornell University and currently serves as the Associate Dean for Research in the Ann S. Bowers College of Computing and Information Science. He is also a Visiting Researcher at Jane Street and served as a Visiting Professor at École Polytechnique Fédérale de Lausanne during the 2023-24 academic year. His research uses ideas from programming languages to solve problems in networking, databases, and security. BA in Computer Science, Williams College (2001) MPhil in History and Philosophy of Science, University of Cambridge (2008, all work completed in 2003) PhD in Computer and Information Science, University of Pennsylvania (2009) Foster's research focuses on developing languages and tools that make it easy for programmers to build secure and reliable systems. His current work centers on the design and implementation of languages and tools for programmable networks, particularly using the P4 language. His past work includes bidirectional languages (also known as 'lenses'), database query languages, data provenance, type systems, mechanized proof, and formal semantics. His research group at Cornell has made significant contributions to network verification, software-defined networking, and formal foundations for programmable data planes. Analysis of Foster's recent publications reveals a strong focus on network verification and programming language foundations for networking. His work consistently applies formal methods to practical networking problems, with a particular emphasis on the NetKAT and P4 languages. Over the past five years, his research has evolved toward more complex network verification techniques, including infinite state verification, active learning of network models, and dependently-typed approaches to network programming. His work bridges theoretical computer science with practical networking systems, making formal methods accessible to network engineers. ACM Fellow (2025) ACM SIGPLAN Robin Milner Award (2023) ACM SIGCOMM Rising Star Award (2018) NSF CAREER Award (2013) Alfred P. Sloan Fellowship (2012) Multiple distinguished paper awards across top conferences including POPL, PLDI, and SIGCOMM Foster has advised numerous PhD and Master's students who have gone on to prominent positions in both industry and academia, with many continuing work in programming languages and networking. He has led multiple significant research grants including an NSF CAREER Award and has been involved in the P4 Language Consortium, serving as Chair of the P4 Language Governing Board. His work has been supported by various organizations including NSF, DARPA, and industry partners like Intel and Jane Street. Foster is also active in the programming languages research community, serving on numerous program committees and as Vice Chair of DARPA's Information Science and Technology (ISAT) study group. Foster leads a vibrant research group at Cornell focused on programming languages for networks, with collaborators from academia and industry. His group has developed several influential tools and frameworks including NetKAT, Petr4, and KATch. They maintain strong connections with the P4 community and work closely with industry partners to ensure their research has practical impact on real-world networking systems.

Alexey Gorshkovمشاهده پروفایل

استاد مدعو

• Quantum Optics
• Quantum Information Science
• Condensed Matter Physics
• +۶ مورد دیگر

Alexey Gorshkov is an Adjunct Professor at the University of Maryland (UMD) affiliated with the Joint Quantum Institute (JQI) and the Quantum Information and Computer Science Laboratory (QuICS). His primary academic role is in theoretical physics, focusing on quantum optics, quantum information science, and condensed matter physics. He leads a research group exploring quantum magnetism with alkaline-earth atoms, driven-dissipative systems, topological matter, and strongly interacting photons. His work bridges AMO (atomic, molecular, and optical) systems with high-energy and condensed matter physics, emphasizing quantum simulation and novel quantum technologies like precise clocks and quantum computers. Education details are not explicitly listed, but his research collaborations with institutions like JQI and UMD suggest advanced academic training in theoretical physics. His research interests revolve around understanding and controlling quantum many-body systems, particularly in far-from-equilibrium scenarios, entanglement dynamics, and dissipation effects. He has contributed to studies on Rydberg atoms, quantum routing protocols, and error mitigation in quantum simulators. Recent articles highlight his work on quantum protocols for verifying speedups, time-independent information flow, and entanglement dynamics. His group's achievements include demonstrating one-dimensional anyons and developing methods for correlated noise estimation with quantum sensors. Awards and grants are not explicitly mentioned in the provided text, but his prolific publication record indicates sustained research impact. Labs and teams associated with him include the JQI and QuICS, where he collaborates on experimental and theoretical projects. Graduate student and postdoc positions are available in his group, focusing on areas like quantum magnetism and topological systems. His work often involves close ties with experimental groups, emphasizing practical applications of theoretical breakthroughs.

Robert Huberمشاهده پروفایل

مدرس

• Sustainable Agriculture
• Agricultural Policy
• Ecosystem Services
• +۴ مورد دیگر

Dr. Robert Huber serves as a Lecturer at the Department of Environmental Systems Science at ETH Zürich, specializing in Agricultural Economics and Policy. His research focuses on the integration of interdisciplinary knowledge to analyze and evaluate management and policy options that promote sustainable development in the agricultural sector. Institution: ETH Zürich Department: Agricultural Economics and Policy Research Focus: Sustainable Agriculture and Policy Methodologies: Bio-economic and agent-based modeling Dr. Huber's research explores how multifunctional agricultural sectors can provide essential non-market goods and services while maintaining their primary economic function of food production. His work applies bio-economic and agent-based modeling techniques to understand farmers' decision-making processes regarding ecosystem services provision, coupled with economic valuation techniques to analyze societal demand for these services. His research aims to identify effective and efficient policy measures that align supply and demand for ecosystem services at landscape scale. His recent publications demonstrate strong expertise in agricultural policy analysis, climate change mitigation strategies, sustainable farming practices, and innovative modeling approaches. His work spans topics from herbicide-free agriculture using remote sensing technologies to biodiversity enhancement in agricultural landscapes and the cost-effectiveness of different climate change mitigation policies at various scales. Remote sensing applications in sustainable agriculture Behavioral aspects of farmer decision-making Policy evaluation methodologies Climate change adaptation in farming systems Economic valuation of ecosystem services Digitalization impacts on agricultural policy Dr. Huber has published extensively in high-impact journals including Journal of Agricultural Economics, People and Nature, and Q Open. His collaborative research often involves interdisciplinary teams addressing complex agricultural sustainability challenges. His publications demonstrate a consistent focus on practical policy implications derived from rigorous empirical analysis.

• Isotope Geochemistry
• Climate Science
• Greenland Ice Sheet Studies
• +۴ مورد دیگر

Getachew Agmuas Adnew is a Postdoctoral Researcher in Forest and Landscape Ecology at the Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen. His research focuses on isotope geochemistry applications to understand climate-relevant processes in extreme environments. Dr. Adnew's research interests center on isotope geochemistry , particularly clumped isotope measurements to investigate methane dynamics beneath the Greenland ice sheet and atmospheric CO 2 composition. His work bridges glaciology, atmospheric science, and climate change research, with significant contributions to understanding subglacial biogeochemical processes. He also participates in interdisciplinary projects like CloudRoots-Amazon22 that examine land-atmosphere interactions across multiple scales. Analysis of his 18 research outputs (15 journal articles and 3 conference abstracts from 2023-2025) reveals a strong thematic focus on methane emissions from subglacial environments and atmospheric isotope signatures . His work frequently employs advanced isotopic techniques to trace biogeochemical processes relevant to climate change. The research demonstrates increasing collaboration across international boundaries, particularly with European and South American institutions. Dr. Adnew actively collaborates with major climate research groups, including those led by T. Röckmann, T. Blunier, and C.J. Jørgensen. His work appears in high-impact journals such as Geochimica et Cosmochimica Acta, Atmospheric Measurement Techniques, and Bulletin of the American Meteorological Society. His research has garnered attention across academic platforms with multiple citations and mentions in scientific networks. His current research involves field work at the Greenland ice sheet margin and analysis of atmospheric samples from various global locations. The ongoing projects suggest continued focus on understanding the connections between subglacial processes and global climate systems through innovative isotopic approaches.

Antony Franklinمشاهده پروفایل

دانشیار

• Wireless Networks
• Mobile Networks
• 5G Networks and Systems
• +۵ مورد دیگر

Antony Franklin is an Associate Professor and Head of the Department of Computer Science and Engineering at the Indian Institute of Technology Hyderabad (IITH), India. He leads the Networked Wireless Systems (NeWS) Lab and is actively involved in 5G research, wireless networks, and cybersecurity. He earned his Ph.D. from IIT Madras in 2010. Education: Ph.D. in Computer Science and Engineering, IIT Madras, 2010 Research Interests: His research spans wireless networks , 5G systems , mobile edge computing , low-latency transport protocols , and cybersecurity . He focuses on next-generation mobile systems, especially 5G, aiming to meet the demands of ultra-low latency, high data rates, and quality of experience for services like IoT, autonomous driving, and VR. He has been involved in developing testbeds and prototypes to validate real-world performance of 5G technologies, including network slicing, LTE-WiFi integration, and edge computing. Scientific Awards: Best Academic Demo Award, IEEE COMSNETS 2018 Second Best Paper Award, IEEE ANTS 2017 Grants & Projects: Network Slice Life-cycle Management for 5G Mobile Networks – SPARC, MHRD (2019–2021) DNS/IPv6 for IoT Security – NASSCOM (2018–2019) CCRAN: Energy Efficiency in Cloud RAN – Intel India (2018–2021) End-to-End 5G Test-Bed – DoT, GoI (2018–2021) M2SMART Smart Cities – SATREPS (2018–2023) Ultra-Reliable Low Latency Protocols – STINT, Sweden (2017–2018) Low Latency 5G Protocols – SERB ECR (2016–2019) Lab & Team: He leads the NeWS Lab (Networked Wireless Systems) at IITH, which focuses on 5G, wireless networks, and IoT systems. The lab is actively involved in developing real-world testbeds and publishing in top-tier conferences and journals.

John P. O'Dohertyمشاهده پروفایل

استاد

• Decision Neuroscience
• Reward-related Learning
• Computational Modeling
• +۳ مورد دیگر

John P. O'Doherty serves as the Fletcher Jones Professor of Decision Neuroscience within Caltech's Division of Humanities and Social Sciences, holding continuous faculty appointments since 2004 (Assistant Professor 2004-07, Associate Professor 2007-09, Professor 2009-present, Fletcher Jones Professor 2021-present). He previously directed the Caltech Brain Imaging Center (2013-17) and maintains affiliations with the T&C Chen Center for Social and Decision Neuroscience. His educational background includes a B.A. from University of Dublin, Trinity College (1996) and D.Phil. from University of Oxford (2000). His research focuses on computational and neural mechanisms of reward-based learning and decision-making , employing fMRI, intracranial recordings, and mathematical modeling to investigate how the brain solves complex decision problems through evolutionarily conserved algorithms. Key areas include Reinforcement learning systems (model-based/model-free arbitration) Observational and social learning mechanisms Neural representation of value, risk, and uncertainty Computational phenotyping of mental disorders Temporal dynamics of goal persistence Analysis of his 2023-2025 publications reveals dominant trends in computational psychiatry (problem gambling, autism traits), hierarchical decision-making, and neuroeconomic modeling of social behavior. His work consistently integrates cross-species computational frameworks with human neuroimaging to identify transdiagnostic mechanisms. While specific awards beyond his endowed professorship aren't detailed, his leadership as Brain Imaging Center Director and prolific high-impact publications demonstrate significant recognition. Current advising includes graduate researcher Sneha Aenugu on goal-persistence projects, with administrative support from Mary A. Martin (mmartin@caltech.edu). His active research program continues to pioneer computational approaches to understanding decision pathologies.