جست‌وجوی استاد و پژوهشگر

• Chemical Engineering
• Materials Science
• Nanotechnology
• +۳ مورد دیگر

Prof. Robert Grass is a Lecturer at the Department of Chemistry and Applied Biosciences at ETH Zurich, affiliated with the Institute for Chemical and Bioengineering Sciences. His research focuses on innovative applications of nanotechnology, DNA-based storage systems, and sustainable catalytic processes for CO2 valorization. Grass has pioneered silica-encapsulated DNA technologies for traceability in healthcare, environmental monitoring, and anti-counterfeiting measures. His work bridges chemical engineering with information technology, addressing challenges in long-term data preservation and molecular-level security. Current projects include developing compostable DNA storage materials and designing catalysts for methanol synthesis from CO2, contributing to both environmental sustainability and energy systems. Grass's interdisciplinary approach integrates nanomaterials design, enzymatic processes, and machine learning to advance next-generation storage and sensing technologies. Research Interests: Development of DNA-based storage systems with error-correction mechanisms Nanoparticle engineering for medical and environmental applications Catalytic materials for CO2 conversion and green chemistry Bio-inspired security systems using molecular randomness Sustainable materials for long-term data preservation His recent work highlights advancements in silica-encapsulated DNA tracers for tracking pathogen transmission dynamics, as well as low-nuclearity catalysts enabling efficient methanol synthesis from CO2. Grass actively explores the intersection of nanotechnology and digital information, including cryptographic applications leveraging DNA's inherent complexity.

• Systems and Networking
• Computer Architecture
• Machine Learning and Artificial Intelligence
• +۳ مورد دیگر

Andrew W. Moore is a Professor of Networked Systems at the University of Cambridge's Department of Computer Science and Technology. His research focuses on networked systems design, high-performance prototyping (e.g., NetFPGA), and latency measurement across scales from data centers to wide-area networks. He has contributed to SDN architectures, reconfigurable networking, and energy-efficient interconnects. He teaches courses including Computer Networking (Part IB), Scientific Computing (Part IA), and advanced modules on network measurements and system performance. His work emphasizes open-source tools and reproducible research, with publications in top venues like IEEE Transactions and ACM SIGCOMM. Research interests span Systems and Networking, Computer Architecture, Machine Learning applications in networking, and Security. Recent work addresses data center latency optimization, SDN-enabled IXPs, and FPGA-based network prototyping. Collaborations include projects on energy-aware networks and hardware-software co-design. He leads the NetFPGA initiative, a widely used open-source FPGA platform for networking research and education. His lab also explores emerging storage media and applications of software-defined networking in critical infrastructure.

Min Sunمشاهده پروفایل

استاد

• Educational Policy
• Teacher Education & Research
• AI/ML in Education
• +۸ مورد دیگر

Dr. Min Sun is a Professor in the Department of Educational Policy, Organization and Leadership at the University of Washington's College of Education. Her research focuses on teacher learning, AI/ML integration in education, and policy-driven educational reforms. She leads interdisciplinary teams developing AI tools like the NSF-funded Colleague lesson planning platform and the IES-funded AmplifyGAIN Center. Her work addresses inequities in education through policy analysis and partnerships with K-12 schools and EdTech industries. Dr. Sun holds a Ph.D. in Educational Policy and Measurement from Michigan State University. She teaches courses such as EDLPS 302: Intro to Educational Policy and EDLPS 564: Economics of Education. Her research spans four key areas: AI/ML method development, AI-powered educational tools, data science training programs, and policy research with multi-sector collaborations. Notable grants include a $10 million IES grant for the AmplifyGAIN Center and a $1.5 million NSF grant for AI-driven math lesson planning. Her policy work emphasizes equitable education access and data-driven solutions. She directs the Education Policy Analytics Lab (EPAL) and collaborates with stakeholders to translate research into actionable strategies.

Hangfeng Heمشاهده پروفایل

استادیار

• Machine Learning
• Natural Language Processing
• Reasoning
• +۴ مورد دیگر

Hangfeng He is an Assistant Professor of Computer Science and Data Science at the University of Rochester , affiliated with the Hajim School of Engineering & Applied Sciences. He holds a PhD from the University of Pennsylvania and focuses on machine learning and natural language processing. His research emphasizes incidental supervision for natural language understanding, interpretability of deep neural networks, and reasoning in natural language. Education : PhD in Computer Science from University of Pennsylvania Research Interests : Machine Learning (especially deep learning theory, generalization, and optimization) Natural Language Processing (incidental supervision, language understanding, and multimodal reasoning) Reasoning (inductive biases, temporal data analysis, and model interpretability) Research Trends : His work spans foundational AI research and applied NLP, with recent focus on large language models, multimodal systems, and constraint-aware methods. He explores how models generalize from limited supervision and mitigate biases in real-world data. Key themes include improving model robustness, understanding inductive mechanisms, and applying AI to financial and social text analysis. Labs/Teams : While specific lab affiliations aren’t listed, his work aligns with the Department of Computer Science’s research clusters in AI, machine learning, and data science.

• Japanese foreign and security policy
• Asia-Pacific international relations
• US-Japan alliance dynamics
• +۵ مورد دیگر

Chris Hughes is a Professor of International Politics and Japanese Studies at the University of Warwick's Politics and International Studies (PAIS) department within the Faculty of Social Sciences. He specialises in Japan’s foreign and security policies, US-Japan alliance dynamics, and Asia-Pacific regional security. Previously serving as Pro-Vice Chancellor (Education) from 2016–2023, he led Warwick to achieve top rankings in UK teaching excellence. His research focuses on Japan's military modernization, defense industrial strategy, and geopolitical strategy under leaders like Abe. He has held visiting roles at Harvard, the University of Tokyo, and Nanyang Technological University. Co-editor of The Pacific Review , Hughes frequently engages in media commentary on Japan’s evolving security posture and international relations. Key research interests include Japan’s grand strategy, defense transformation driven by new technologies, and regional security challenges such as North Korea and China relations. He has authored influential works like Japan as a Global Military Power (2022). His work bridges academic analysis with policy implications, addressing topics like cybersecurity, maritime security, and the implications of Japan’s shifting antimilitarist norms. Hughes has advised on education policy reforms and contributed to global dialogues on East Asian security through think tanks like RUSI and IISS. Recent media engagements include analysis of Japan’s response to Trump’s foreign policy, defense exports, and its role in the Indo-Pacific. His podcast appearances and lectures, such as the 2024 Japan and North Korea discussion with IISS, highlight his active role in disseminating strategic insights. Hughes’ career combines academic leadership with applied policy analysis, emphasizing Japan’s evolving role as a military and geopolitical actor.

Yan Wangمشاهده پروفایل

استاد

• Trust Management
• Recommender Systems
• Social Networks
• +۷ مورد دیگر

Yan Wang is a Full Professor in the School of Computing at Macquarie University, Australia. He obtained his PhD from Harbin Institute of Technology (HIT), China, and has been at Macquarie since 2003 following a postdoctoral fellowship at the National University of Singapore. His research focuses on trust management, recommender systems, social networks, and services computing, with a strong emphasis on applications in cyber security and data analytics. Wang has published extensively in top-tier venues like AAAI, IJCAI, and IEEE Transactions, and has led over 25 research projects, including current initiatives like Trust-Oriented Data Analytics in Online Social Networks (DP230100676) and Combating Fake News on Social Media (2020–2023). He has received prestigious awards such as the IEEE TCSVC Outstanding Service Award (2017) and the Vice-Chancellor’s Excellence in Research Supervision Award (2014). He serves on editorial boards of journals like IEEE Transactions on Services Computing and has organized major conferences including IEEE ATC2013 and IEEE CLOUD2017. His work bridges theoretical advancements in machine learning and practical challenges in social computing, edge computing, and federated learning. Affiliations: School of Computing, Data Horizons Research Centre, Frontier AI Research Centre Key Projects: Trust-Oriented Data Analytics in Online Social Networks (2023–2026) Combating Fake News on Social Media (2020–2023) Research Themes: Recommender systems, graph learning, fake news detection, and trust management in distributed systems. Wang’s recent work explores causal representation learning, cross-domain recommendations, and privacy-preserving techniques in edge computing environments.

• Ecohydrology
• Water Quality Management
• Environmental Impact Assessment
• +۶ مورد دیگر

Dr. Pouyan Nejadhashemi is an MSU Research Foundation Professor in the Departments of Plant, Soil and Microbial Sciences and Biosystems & Agricultural Engineering at Michigan State University. He serves as Director of the MSU Institute of Water Research and the Center for Intelligent Water Resources Engineering. His expertise spans ecohydrology, climate change adaptation, environmental impact assessment, and decision support systems for ecosystem sustainability. He holds a Ph.D. in Biological Resources Engineering from the University of Maryland. Dr. Nejadhashemi's research focuses on water quality modeling, non-point source pollution prevention, and integrating machine learning with hydrological systems. Key areas include irrigation optimization, PFAS contamination monitoring, and watershed management. He teaches courses on water resources systems analysis and ecohydrology. Awards: MSU Research Foundation Professor Title Grants: FAA grant for PFAS remediation, grants for developing agricultural innovations in Senegal and Bangladesh Labs/Teams: MSU Institute of Water Research, Center for Intelligent Water Resources Engineering His work bridges computational methods with environmental challenges, addressing global water security, food systems, and sustainable resource management. Recent projects include modeling water quality in the Chesapeake Bay and developing AI tools for agricultural extension platforms.

• Distributed Computing
• Distributed Algorithms
• Fault-Tolerance
• +۸ مورد دیگر

Marina Papatriantafilou is an Associate Professor in the Department of Computer Science and Engineering at Chalmers University of Technology and University of Gothenburg. Her research focuses on distributed computing, fault-tolerance, parallel algorithms, and concurrency control. She has contributed to methods for fault-tolerant distributed systems, visualization tools for distributed algorithms, and scalable overlay networks. Her academic roles include teaching advanced courses on distributed systems, computer communication, and operating systems. She advises graduate students in areas like distributed algorithms and parallel computing. Key research interests include lock-free synchronization, memory reclamation, and self-stabilizing systems. She has authored over 100 publications in top-tier conferences and journals, with recent work on data streaming frameworks, energy-sharing optimization, and vehicular network processing. Professional involvement includes roles in program committees for conferences like OPODIS, SWAT, and SSS, plus membership in research evaluation boards for Swedish and European funding agencies. She pioneered educational tools like the Lydian environment for distributed algorithm visualization.

• Communication Security
• Embedded Systems Security
• Design of Embedded Systems
• +۴ مورد دیگر

Alberto Ferrante is a Lecturer and Researcher at the Faculty of Informatics of the Università della Svizzera italiana (USI), affiliated with the IDSIA (Dalle Molle Institute for Artificial Intelligence) USI/SUPSI. His work bridges cybersecurity, embedded systems, and AI applications, particularly in IoT and pest control. He holds a PhD from Università degli Studi di Milano (2006) and an MSc from Politecnico di Milano (2002). Research Interests: Ferrante focuses on Secure communication protocols and embedded systems security Malware detection and resource-optimized hardware solutions Machine learning applications for IoT, including agricultural pest monitoring and healthcare diagnostics Cyber-physical systems design and security-enhanced embedded systems His publications emphasize practical implementations, such as AI-driven UAVs for pest control and low-power drone systems for environmental monitoring. He actively contributes to tech transfer projects with industry partners and participates in major conferences like ICC and Globecom as a TPC member. He teaches the Master’s course Edge Computing in the IoT and collaborates on hardware-software co-design for security-critical systems. His work often integrates real-world constraints like energy efficiency and computational resource limitations. Key contributions include frameworks for dynamic security adaptation in wireless sensor networks and hardware-accelerated security for embedded systems.

Jarek Nabrzyskiمشاهده پروفایل

استاد

• Quantum Computing
• Blockchain Technology
• Distributed Ledger Technologies
• +۴ مورد دیگر

Jarek Nabrzyski is the founding and current director of the Center for Research Computing (CRC) at the University of Notre Dame and a concurrent Professor in the Department of Computer Science and Engineering. He co-directs the Blockchain Research Lab with Ian Taylor and leads the Quantum Computing Lab. His research focuses on distributed ledger technologies, quantum computing, and resource management in distributed, cloud, and exascale systems. He has overseen over 50 national and international research projects developing cyberinfrastructure for science and industry, emphasizing collaboration and team-building in complex projects. Key areas of research include blockchain applications in decentralized systems, quantum algorithm optimization for near-term hardware, and cybersecurity protocols for data integrity. He actively engages in interdisciplinary initiatives like the Center for Social Science Research and has pioneered frameworks for verifiable credentials and reproducible scientific data. His work bridges theoretical advancements with practical industry partnerships. Notable contributions include hybrid cross-chain protocols, quantum Poisson solvers, and frameworks for blockchain trust analytics. His recent publications highlight advancements in AI-driven blockchain stabilization, suspicious transaction detection, and scalable quantum computing solutions. Despite no explicit mentions of awards, his leadership roles and project count underscore significant contributions to computational science and infrastructure. As a mentor, he fosters student engagement in cyberinfrastructure through initiatives like the Cyberinfrastructure Center of Excellence. His labs and collaborations drive innovation in quantum computing, blockchain interoperability, and high-performance computing systems. Current efforts include transparent data tracking for aerospace supply chains and secure scientific data reproducibility.

• Organizational Learning
• Regenerative Leadership
• Relational Leadership
• +۱۶ مورد دیگر

Lone Hersted is an Associate Professor at the Department of Culture and Learning, Faculty of Humanities and Social Sciences, Aalborg University, Denmark. She serves as the Coordinator of the SOS (Social Organizational Sustainability) network and is a key member of the Collaborative Organizational Learning (CO-LEARN) and Green Society SSH research environments. Her work is deeply connected to organizational development, sustainability, and transformative learning. Her research focuses on organizational learning, regenerative leadership, relational leadership, social organizational sustainability, dialogic processes, action research, and co-creation . She explores how organizations can foster sustainable and humane practices through resonance, reflection, and collaborative inquiry. Her expertise contributes significantly to the UN Sustainable Development Goals, particularly in management, social sustainability, and education. The recent publications and projects reveal a strong trend toward regenerative and relational leadership, identity construction in digital spaces (e.g., Twitter), transformative learning communities, and action research methodologies . Her work bridges theory and practice, often involving co-creation with organizations and stakeholders. She is also active in knowledge dissemination through media engagement, public lectures, and academic events. Action Research for the Development of Welfare (2025) Developing competences in relational leading (2025) Lead & Tweet: What leaders say when constructing identity on Twitter (2025) Autoethnography in organizational learning (2025) Lone Hersted has served as Principal Investigator (PI) on multiple research projects, including PÆL: Pædagogik, Æstetiske Læreprocesser og Ledelse , Den kompetente medarbejder , Lead & Tweet , and Constructing Identities . She has also contributed as a co-investigator and organizer of academic events, such as the Danish Action Research Network conference and PhD courses. She has been involved in editorial work, peer review, and public presentations, demonstrating a strong commitment to academic service and knowledge transfer. She is affiliated with several research networks, including CO-LEARN and SOS, which focus on collaborative learning, sustainability, and organizational transformation. These networks serve as platforms for interdisciplinary research, co-creation, and societal impact.

Ollie Ballingerمشاهده پروفایل

مدرس

• Geocomputation
• Remote Sensing
• Conflict Analysis
• +۴ مورد دیگر

Dr. Ollie Ballinger is a Lecturer (Teaching) in Geocomputation at the Centre for Advanced Spatial Analysis (CASA), University College London. His research focuses on leveraging computational methods and satellite imagery for conflict analysis, environmental monitoring, and humanitarian applications. He holds a PhD from the Oxford Department of International Development, where his work explored computational approaches to insurgent recruitment dynamics in Turkey. Education: PhD in International Development from the University of Oxford (focused on computational conflict analysis) Research Interests: Dr. Ballinger's work spans geospatial analysis, remote sensing, and open-source intelligence (OSINT). He develops novel algorithms for detecting conflict-related damage (e.g., pixel-wise T-test for SAR imagery), tracks illicit activities like ship-to-ship transfers and illegal mining, and creates tools for humanitarian and environmental accountability. His projects often involve collaboration with organizations like Bellingcat and the Alan Turing Institute. Key Projects: Pixel-Wise T-Test (PWTT) algorithm for open-access battle damage detection Analysis of ship-to-ship transfers in maritime trade Monitoring illegal rare earth mining in Myanmar Radar interference tracking for military surveillance systems Tools & Contributions: Developed Python libraries for image processing and network analysis Principal Investigator for projects with Global Witness and the Alan Turing Institute Contributor to Bellingcat's investigative reporting on conflict pollution and environmental crimes Grants & Collaborations: Collaborations include work with the United Nations Satellite Centre (UNOSAT) for damage assessments and partnerships with NGOs like Global Witness for environmental monitoring projects. His research is supported by grants focused on computational methods for humanitarian and environmental applications. Labs & Teams: Active within the Centre for Advanced Spatial Analysis (CASA) at UCL, where he contributes to interdisciplinary geospatial research initiatives.

Yichuang Sunمشاهده پروفایل

استاد

• Wireless Communications
• 5G/6G Technologies
• RF Circuits and Systems
• +۷ مورد دیگر

Yichuang Sun is a Professor of Communications and Electronics at the University of Hertfordshire, leading the Communications and Intelligent Systems Research Group and the Electrical and Electronic Engineering Department. He holds a PhD from the University of York (1996) and has over 450 peer-reviewed publications, 5 authored books, and 40+ supervised PhD students. His research focuses on wireless communications (5G/6G, RIS-aided systems), RF/microwave circuits, neuromorphic computing, and machine learning applications. He serves as Editor or Guest Editor for 12+ IEEE/IET journals and chairs technical committees for IEEE conferences. Notably ranked in the World's Top 2% Scientists since 2019, he also advises global institutions like Oxford and the Royal Academy of Engineering. Education: PhD in Electronics, University of York, UK (1996) Research Interests: Wireless/Mobile Communications and Networks RF and Microelectronic Circuits Neuromorphic Computing and Machine Learning Memristor-based Systems Secure and Energy-Efficient Communications Grants & Projects (selected): Advanced mmWave MIMO 4D Radar for Traffic Detection (2024–2027) Wireless Power Transfer for Implantable Medical Devices (2023–2025) RFID System for Sample Management (2021–present) Labs/Teams: Leads the Communications and Intelligent Systems Research Group, collaborating on 6G, neuromorphic hardware, and IoT systems.

• Digital Twins
• Smart Cities
• Blockchain Technology
• +۵ مورد دیگر

Noel Crespi is a Professor and Director of Studies at Telecom SudParis, part of Institut Polytechnique de Paris. He leads research in the NeSS group and is affiliated with SAMOVAR, a prominent research laboratory focusing on networks, systems, and services. His work spans multiple domains in telecommunications, networking, and smart systems. His primary research interests include digital twins for smart cities, blockchain technologies, Internet of Things (IoT) security and applications, 5G/6G networking, and machine learning applications in network management. He has published extensively on these topics, with over 100 publications in top-tier journals and conferences. His recent work shows a strong focus on digital twin applications for urban management, particularly in traffic and air quality monitoring. He has developed modular frameworks for smart city digital twins that integrate real-time data from multiple sources. His research also explores blockchain applications for network security, access control, and service provisioning in next-generation cellular networks. Dr. Crespi has received significant recognition for his work on digital twins, with his 2020 paper "Digital twin in the IoT context" in Proceedings of the IEEE being highly cited. His current research explores the integration of AI with digital twin technologies for sustainable urban development. He has supervised numerous PhD students and collaborates extensively with researchers across Europe and internationally. His work often involves interdisciplinary approaches, bringing together computer science, networking, urban planning, and environmental science. Dr. Crespi has been instrumental in developing frameworks for network digital twins, with applications in traffic management, air quality monitoring, and resource allocation in smart cities. His research demonstrates practical implementations in cities like Madrid, showing measurable improvements in urban management.

Stacy Coppمشاهده پروفایل

دانشیار

• Nanomaterials
• Photonics
• DNA Nanotechnology
• +۷ مورد دیگر

Stacy Copp is an Associate Professor in the Department of Materials Science and Engineering at the Samueli School of Engineering, University of California, Irvine, with joint appointments in Chemical and Biomolecular Engineering and Physics and Astronomy. Her research is conducted at the Interdisciplinary Science & Engineering Building, where she leads a multidisciplinary lab focused on nanoscale materials design. Department: Materials Science and Engineering School: Samueli School of Engineering University: University of California, Irvine (UCI) Email: stacy.copp@uci.edu Dr. Copp’s research lies at the intersection of nanotechnology, biomolecular engineering, and computational materials science. She leverages biomolecules such as DNA and peptides, along with synthetic polymers, as programmable building blocks to create novel nanomaterials that control light and charge at the nanoscale. Her primary focus is on photonic nanomaterials, including DNA-stabilized metal nanoclusters that emit in the near-infrared (NIR) for deep-tissue bioimaging, and block copolymer self-assembly for hierarchical nanostructures. A distinctive feature of her research is the integration of machine learning and data mining tools to accelerate the discovery and design of atomically precise materials. Her research interests include: NIR-emitting DNA-stabilized metal nanoclusters Energy transfer mechanisms in nanocluster architectures Metal-mediated DNA base pairing Block copolymer self-assembly Machine learning for materials discovery Bioelectronics Stacy Copp has been recognized with several prestigious awards and fellowships, highlighting her contributions to science and her role as a leader among women in STEM. Hoffman Distinguished Postdoctoral Fellow UC President’s Postdoctoral Fellowship L’Oréal USA For Women in Science Fellowship LANL Director’s Postdoctoral Fellowship She has secured research support from major funding bodies including the National Science Foundation (NSF) through the MRSEC program. Her lab is affiliated with key research centers such as the Center for Complex and Active Materials (CCAM) and the UCI Center for Synthetic Biology. While specific details of students and grants are not listed, her lab is active in training researchers and pushing the frontiers of nanomaterials science. She also contributes to interdisciplinary initiatives in synthetic biology and advanced materials.