جست‌وجوی استاد و پژوهشگر

• Database Technology
• Database Management Systems
• Distributed Systems
• +۴ مورد دیگر

Michael Stonebraker is a renowned computer scientist and Adjunct Professor of Computer Science at MIT's CSAIL. He is a pioneer in database technology, having developed foundational systems like INGRES and POSTGRES at UC Berkeley. His work spans database management, distributed systems, and data integration. He has founded multiple startups to commercialize his research and holds numerous awards, including the ACM Turing Award (2014) and IEEE John von Neumann Medal (2005). He earned his Ph.D. from the University of Michigan and undergraduate degrees from Princeton and Michigan. His research focuses on advancing database systems, operating systems, and big data analytics. Recent work includes contributions to video data management, cloud computing optimization, and data discovery systems. Education: Ph.D., Computer, Information and Control Engineering, University of Michigan (1971) M.S.E., Electrical Engineering, University of Michigan (1966) B.S.E., Electrical Engineering, Princeton University (1965) Research Interests: Database Technology, Distributed Systems, Data Integration, and Big Data Analytics. His work bridges theory and practice, emphasizing scalable architectures and real-world applications. Awards & Recognition: ACM Turing Award (2014) ACM SIGMOD Systems Award (2015) MIT Tech Review TR7 (2016) C&C Prize (2020) Grants & Labs: His research is supported by grants from NSF, DARPA, and industry collaborations. He leads MIT's efforts in database systems and is affiliated with CSAIL labs focused on data management and high-performance computing.

Thalia Dominguez Bucioمشاهده پروفایل

پژوهشگر ارشد

• Integrated Photonics
• Silicon Nitride Photonics
• Optoelectronics
• +۴ مورد دیگر

Dr. Thalia Dominguez Bucio is a Senior Research Fellow at the Optoelectronics Research Centre (ORC), University of Southampton, within the Faculty of Engineering and Physical Sciences. She is a key member of the Silicon Photonics research group and actively contributes to the Horizon Europe PIXEurope project, advancing integrated photonic technologies. Her work focuses on silicon nitride as a material platform for next-generation photonic integrated circuits. Her research interests center on integrated photonics , silicon nitride platforms , nonlinear optics , and CMOS-compatible fabrication . She investigates low-loss photonic devices, efficient coupling mechanisms, and high-speed electro-optic modulators, with applications in optical communications and signal processing. Recent publications (2024) demonstrate a strong trend toward high-efficiency grating couplers , broadband wavelength conversion via intermodal four-wave mixing, and monolithic integration for low-power operation. These works reflect a cohesive research direction focused on enabling scalable, high-performance photonic integrated circuits using advanced silicon nitride technology. Speaker, Advanced Silicon Nitride Integration for CMOS Photonic Circuits, 2023 She currently supervises PhD students Qian Zhang and Lifeng Bao , and is accepting new PhD applicants. Her research is supported by major EU-funded initiatives like Horizon Europe. She is part of the Photonic Systems, Circuits and Sensors Group and the broader Silicon Photonics team at the ORC, fostering interdisciplinary collaboration in photonics research and development.

Andrew Headمشاهده پروفایل

استادیار

• Human-computer interaction
• Programming
• Reading
• +۵ مورد دیگر

Andrew Head is an Assistant Professor at the University of Pennsylvania's Department of Computer Science, specializing in Human-Computer Interaction (HCI) and Programming. His work bridges interactive reading , math notation accessibility , and AI-assisted code comprehension . Affiliated with Penn HCI, PLClub, and MindCORE, he co-leads research with Danaé Metaxa and Benjamin Pierce. University of Pennsylvania Assistant Professor, Computer Science Affiliations: Penn HCI, PLClub, MindCORE His research focuses on interactive reading interfaces , AI-powered programming tools , and math notation analysis . Recent projects include: FreeForm : Interactive math notation editor Tyche : Property-based testing tools Explainable Notes : Medical note interpretation systems Publications in CHI , UIST , and ICSE demonstrate his systems-centric approach combining user studies with working prototypes. Notable awards include Best Paper at UIST 2024 and CHI 2022. Advising: Ph.D. Students: Alyssa Hwang, Litao Yan, Hita Kambhamettu, Jeff Tao, Jessica Shi Grants: $1M NSF grant for Property-based Testing Tools (2024) Teaching: Spring 2025: CIS 4120/5120 - Human-Computer Interaction Fall 2024: CIS 7000 - Interactive Reading

• Computer Graphics
• Computer Vision
• Human-Computer Interaction
• +۷ مورد دیگر

Changjian Li is an Assistant Professor in the School of Informatics at the University of Edinburgh. He leads the GraphViX Group (Graphics, Vision and X) and is a member of the Institute of Perception, Action and Behaviour (IPAB). His research spans computer graphics, computer vision, and human-computer interaction with a focus on 3D generation and analysis. Education: Bachelor's Degree from Shandong University (2014) Ph.D. from the University of Hong Kong (2019) under Prof. Wenping Wang Postdoc at University College London (UCL) with Prof. Niloy Mitra Starting Researcher position at Inria with Dr. Adrien Bousseau Research Interests: Changjian's research focuses on sketch-based 3D modeling, CAD modeling, point cloud processing, and medical imaging applications. He develops systems that bridge intuitive sketching with precise CAD workflows, enhances 3D animation pipelines, and applies neural methods to sparse medical data reconstruction. Scientific Recognition: Best Paper Honorable Mention Award (MICCAI 2021) CADTalk selected as Highlight (CVPR 2024 top 10%) ACM SIGGRAPH Asia 2018 cover image selection ACM SIGGRAPH Asia 2015 technical paper highlight CVPR 2019 poster highlighted in 'Computer Vision News' Advising & Collaborations: He mentors postdocs and PhD students including Duolikun Danier, Haocheng Yuan, Ankan Bhunia, and Lei Zhong. Former advisees include Salvatore Esposito (now at Edinburgh), Guangshun Wei (Shandong University), and Mingjun Yang (University of Melbourne). Collaborates with Oisin Mac Aodha, Hakan Bilen, and Niloy Mitra. Professional Service: Currently serves as Associate Editor for IEEE TVCG and participates in program committees for SIGGRAPH Asia, SIGGRAPH, EuroGraphics, and Geometry Design and Computing (GDC) conferences.

Ewa Lugerمشاهده پروفایل

استاد

• Responsible AI
• Human-Data Interaction
• AI Ethics
• +۷ مورد دیگر

Professor Ewa Luger serves as Professor and Chair of Human-Data Interaction at the University of Edinburgh, co-Programme Director of AHRC’s Bridging Responsible AI Divides (BRAID), and codirector of the EPSRC Responsible NLP Centre for Doctoral Training. She actively bridges academia, policy, and industry through roles in the DCMS college of experts and Centre for Artificial Intelligence (Future of Privacy Forum). Her educational background spans: BA (Hons) in International Relations & Politics MA in International Relations PhD in Computer Science Luger’s research investigates social, ethical, and interactional dimensions of AI systems, with emphasis on policy design, user consent, and exclusion frameworks. She pioneers work on responsible AI implementation across critical domains including voice interfaces, journalism, public service media, and accounting institutions. Her specific research trajectories include: Responsible AI governance and ethical deployment Human-Data Interaction paradigms Intelligibility of AI for expert/non-expert users Security/safety of cloud/edge systems AI adoption readiness in professional contexts Language model applications in real-world settings Her scholarly recognition includes: Alan Turing Institute Fellowship Fellowship at Corpus Christi College, University of Cambridge Luger has secured over £40 million in research funding since 2016 through EPSRC, ESRC, AHRC, and DataLab grants. Current leadership roles span the AHRC BRAID programme, EPSRC Fixing the Future project, UKRI Digital Twinning Network, and Responsible NLP CDT. She founded the annual 'Conversations' workshop on chatbot research in 2015, fostering global academic-industry collaboration. Her interdisciplinary work operates through dynamic project teams including the Network Plus in Human Data Interaction, DCODE EU consortium, and BBC-focused PubVIA initiative, integrating computer science, social sciences, and humanities perspectives to address AI’s societal challenges.

Thomas Hermannمشاهده پروفایل

پژوهشگر

• Auditory Data Science
• Interactive Sonification
• Smart Environments
• +۵ مورد دیگر

Dr. rer. nat. Thomas Hermann is a faculty member at Bielefeld University's Faculty of Engineering, leading the Ambient Intelligence Group and coordinating the Computer Science program. He specializes in sonification, auditory data science, and smart environments. Head of Ambient Intelligence Working Group Computer Science Program Coordinator Member of multiple academic advisory boards His research focuses on interactive sonification for biomedical applications, quantum systems, and smart environments. Key projects include ECG sonification for cardiac diagnosis, real-time auditory feedback in swimming, and sonic interfaces for AR cooperation. Recent publications span 2025 with Python-based sonification tools ( pya AGen ), quantum system sonification, and ST-elevation myocardial infarction monitoring. He contributes to open-access supplementary materials and interdisciplinary workshops. As a researcher , Hermann develops practical sonification frameworks like Panson for facial behavior analysis, CardioScope for portable ECG monitoring, and Base Cube One for smart environments. His work bridges academic research with industry applications.

Ziyu Yaoمشاهده پروفایل

استادیار

• Natural Language Processing
• Artificial Intelligence
• Knowledge Grounding
• +۱۴ مورد دیگر

Ziyu Yao is an Assistant Professor in the Department of Computer Science at George Mason University , co-leading the George Mason NLP Group . He is affiliated with the C4I & Cyber Center , Center for Advancing Human-Machine Partnership , and Institute for Digital InnovAtion at GMU. PhD in Computer Science and Engineering from Ohio State University (2021) Internships: Microsoft Semantic Machines, Carnegie Mellon University, Microsoft Research, Fujitsu Lab of America, Tsinghua University Research Interests: Focus on Natural Language Processing (NLP) and Artificial Intelligence (AI) , particularly advancing LLM systems through knowledge grounding , reasoning , and planning . Key areas include: Mechanistic Interpretability for LLMs Interactive Semantic Parsing/Code Generation Responsible and Trustworthy NLP Interfaces Interdisciplinary Applications in Mathematics Education and Network Communication Recent Articles (2024-2025) explore trends in LLM cascading for cost efficiency, mechanistic interpretability surveys, vision-language model reasoning, and interdisciplinary educational technology. Collaborations span institutions like Microsoft Research , William & Mary , and University of Cambridge . Scientific Awards: Presidential Fellowship (OSU Graduate School, 2020) Graduate Student Research Award (OSU CSE, 2021) Top Reviewer at NeurIPS 2023 Advising & Grants: Mentors PhD students like Murong Yue , Hao Yan , and Mohamed Aghzal . Leads NSF projects on AI-driven Mathematics Education and LLM Interpretability , alongside grants from Commonwealth Cyber Initiative and Microsoft Accelerate Foundation Models Research . Organized workshops at COLM 2025 and ICML 2025 . Labs & Teams: Co-leads the NLP Lab at GMU and collaborates with the MathVC NSF Project team (w/ Jennifer Suh, William & Mary). Develops platforms like Gentopia for tool-augmented LLMs and IntelliExplain for non-professional programmers.

Bjoern Braunschweigمشاهده پروفایل

استاد

• Physical Chemistry
• Interface Science
• Soft Matter
• +۵ مورد دیگر

Professor Bjoern Braunschweig is a W2 Professor for Physical Chemistry at the Institute of Physical Chemistry within the Faculty of Chemistry and Pharmacy at the University of Muenster. His research group focuses on fluid interfaces, hierarchical materials, and responsive systems, utilizing advanced nonlinear optical spectroscopy techniques such as sum-frequency generation (SFG) and second-harmonic scattering (SHS) to investigate molecular structures at interfaces. He leads the ERC-funded SUPERFOAM project, which aims to establish molecular-level understanding of foam formation and stability. His research interests span across interface science, soft matter physics, electrocatalysis, and responsive materials. Braunschweig's work particularly emphasizes molecular self-assembly at fluid interfaces, electrode/electrolyte interfaces in ionic liquids, and the development of light- and temperature-responsive materials. His group investigates how molecular building blocks like surfactants, polymers, and proteins determine macroscopic properties of soft materials such as foams and emulsions. The research group has published extensively on photoswitchable arylazopyrazole surfactants, thermoresponsive polymer systems, CO 2 electrocatalysis in ionic liquids, and ion-specific effects at interfaces. Their recent publications demonstrate a strong focus on molecular-level understanding of interface phenomena with applications in energy conversion, smart materials, and environmental processes. ERC Starting Grant (2014) BASF fellowship (2014) Max Buchner research fellowship (2012) DAAD Travel Grant (2012) Feodor Lynen fellowship (2009) Dissertation award (2009) Professor Braunschweig supervises multiple PhD students and postdoctoral researchers, including Billura Shakhayeva, Tim Blinzer, Tan Phat Pham, and Zugang Cong. His former students include notable researchers such as Natalia García Rey, Marco Schnurbus, and Eric Weißenborn. The group maintains strong collaborations with researchers across Europe, particularly with Michael Ryan Hansen, Andreas Heuer, and Monika Schönhoff at the University of Muenster, as well as international partners in Poland and the United States. Their research combines experimental approaches with theoretical modeling to develop fundamental understanding of interface phenomena with practical applications in materials science and energy technologies.

Ola Andres Erstadمشاهده پروفایل

استاد

• Digital Literacy
• Educational Technology
• Learning Sciences
• +۲ مورد دیگر

Ola Andres Erstad is a tenured Professor and Dean of the Faculty of Educational Sciences at the University of Oslo , with over three decades of academic leadership and research excellence. Specializing in Digital Literacy , Educational Technology , and Learning Sciences , his work bridges formal/informal learning and explores the sociocultural impacts of digital platforms on education. Academic Tenure: Professor (2008–present), Visiting Professor (UC San Diego, 2010–2011) Leadership: Institute Director (2015–2020), National PhD School Leader (2012–2014) Research Themes include: Digital Competence: Analyzing consequences of digitalization on youth education Learning Lives: Tracking cross-contextual educational trajectories in Groruddalen Platformization: Investigating digital platforms' impact on pedagogical structures Recent Publications (2022–2025) focus on dialogic learning in polarized societies, digital family ecosystems , and multimodal literacy . His international collaborations span Portugal, Denmark, and the U.S., with projects funded by NFR , COST Actions , and Science Europe . Currently leading the PlatFams initiative, Erstad explores cross-generational digital integration.

• Human-Computer Interaction
• Embodied Interfaces
• Digital Sovereignty
• +۴ مورد دیگر

Alexander Müller-Rakow is a Researcher and PhD Candidate at the Design Research Lab at Berlin University of the Arts. His work explores the interplay between embodied interfaces , digital sovereignty , and social design , focusing on bodily movements as a medium for musical and interactive technologies. Education: Industrial and Interaction Design (University of Applied Science Magdeburg, University of Bergen) Current Roles: Research Scientist (Design Research Lab), Lecturer (Hochschule für Kunste Bremen, others) His research spans haptic technology , textile-integrated sensors , and experimental interfaces , often intersecting with digital justice and material interactions . Early-career publications include collaborations on capacitive sensing and urban design interventions , reflecting his interdisciplinary approach. As part of the Design Research Lab, he contributes to projects addressing inclusive digital futures , smart urban mobility , and collaborative tools , aligning with the lab's mission for ecologically sustainable design .

• Computational social science
• Social computing
• Information systems
• +۹ مورد دیگر

Björn Ross is a Lecturer in Computational Social Science at the University of Edinburgh's School of Informatics, where he is affiliated with the Institute for Language, Cognition and Computation. He serves as Director of the SMASH research group and is part of the management team for the Centre for Doctoral Training in Natural Language Processing (CDT in NLP). His educational background includes: PhD (2019) from the University of Duisburg-Essen MSc in Computer Science (2016) from the University of Münster Exchange year (2014-2015) at the University of Strasbourg BSc in Information Systems (2013) from the University of Münster Ross's research focuses on computational social science, particularly using natural language processing, social network analysis, and agent-based modeling to study social media phenomena. His work examines misinformation, hate speech, bot activity, and the ethical implications of computational methods. He also investigates how social media can be leveraged for social good, especially in crisis communication contexts. A significant portion of his recent research addresses bias and fairness issues in AI systems, particularly regarding marginalized communities and LGBTQ+ identities. His work spans both technical development of computational methods and critical examination of their societal impacts. Analysis of his recent publications reveals a strong trend toward examining bias in AI systems, particularly regarding marginalized communities. His work spans multiple methodologies including computational analysis of social media data, development of NLP techniques, and critical examination of AI ethics. He frequently collaborates across disciplines, working with researchers in computer science, social sciences, and healthcare domains. His professional recognition includes: Best Paper Award at the Hawaii International Conference on System Sciences (HICSS) in 2018 Associate Editor for Business & Information Systems Engineering Active membership in professional organizations including AIS, ACL, and ACM Ross currently supervises multiple PhD students including Agostina Calabrese, Eddie Ungless, Sandrine Chausson, Wendy Zheng, Seraphina Goldfarb-Tarrant, and Mahmoud Ibrahim. At the University of Edinburgh, he teaches courses such as 'Text Technologies for Data Science' and 'Evidence, Argument and Persuasion in a Digital Age,' reflecting his expertise at the intersection of computational methods and social implications.

Forest M. Whiteمشاهده پروفایل

استاد

• Metastasis
• Precision Medicine
• Immunology & Immunotherapy
• +۷ مورد دیگر

Professor Forest M. White is a faculty member at MIT's Department of Biological Engineering , where he holds the Ned C. and Janet Bemis Rice Professorship . He is affiliated with the Koch Institute for Integrative Cancer Research and the MIT Center for Precision Cancer Medicine . His research focuses on systems biology and computational modeling of signaling networks in cancer, particularly at the tumor-immune interface . Education: B.S. in Chemistry (Framingham State College, 1993), Ph.D. in Analytical Chemistry (Florida State University, 1997) Professional Journey: Postdoc at University of Virginia, Research Scientist at MDS Proteomics, Assistant Professor at MIT (2003), Mitsui Career Development Professor (2005-2008) White employs high-resolution mass spectrometry to analyze protein phosphorylation and antigen presentation in cancer models, complementing genomic/transcriptomic approaches. His lab has identified chronic stress response enzymes linking high-fat diets to metabolic dysfunction and discovered resistance mechanisms in cancer therapies through phosphoproteomics . Scientific Awards: Mitsui Career Development Professorship (2005-2008) Ruth and Joel Spira Award for Excellence in Teaching (2010) Fellowship from the Ludwig Center at MIT The White Lab actively recruits trainees (undergraduates, graduates, postdocs) through programs like MSRP , CSB , and HST . His work is supported by grants from Break Through Cancer and Ludwig Center , with collaborations spanning Cima Lab , Swanson Biotechnology Center , and MIT Koch Institute .

• Environmental Law
• Climate and Resilience Justice
• Circular Economy
• +۷ مورد دیگر

Tiago de Melo Cartaxo is a Senior Lecturer in Environmental Law at the University of Exeter’s College of Humanities and Social Sciences, Cornwall Campus. He founded the Exeter Centre for Environmental Law (ExCEL) and is part of Law and Business Cornwall (LAB/C). Current roles include Associate Director for External Engagement at the Environment and Sustainability Institute (ESI) and former Director of Postgraduate Research for Humanities and Social Sciences. His research focuses on environmental rights, climate resilience justice, circular economy, energy transition, and international environmental law. He holds a European PhD in Law from Universidade Nova de Lisboa, with postdoctoral work at the University of Surrey. Tiago has advised governments and international bodies, including the Portuguese Presidency of the EU Council, and chairs the World Public Sector Integrity Initiative (WPIEI). Education European PhD in Law, Universidade Nova de Lisboa (2015–2020) LLM in Environmental Law and Planning, University of Coimbra (2012–2014) Licenciatura in Law, University of Lisbon (2000–2005) Research Interests He explores legal frameworks supporting sustainability transitions, including governance of single-use plastics, nature markets, and climate adaptation. His work bridges environmental law with social equity, focusing on resilience justice, circular economy policies, and EU environmental law. He emphasizes transdisciplinary approaches to address socio-ecological challenges in urban contexts. Notable Contributions Coordinated ESI-funded projects on regulatory frameworks for nature markets Developed academic partnerships with the Portuguese Environment Agency Chaired WPIEI during Portugal’s EU Presidency Advised on post-2011 Portuguese economic reforms Awards & Affiliations Fulbright Scholarship (USA) FCT Fellowships (Portugal) Senior Fellow of AdvanceHE Member of ILA Committees on Sustainable Development, SDGs, and ICC Environment Commission Advising & Grants Tiago welcomes PhD/Masters supervision in Environmental & Climate Law. His grants include ESI funding and collaborations with international institutions. He leads the NOVA Law Green Lab and has advised Portuguese and EU policymakers on environmental compliance and energy transitions. Labs & Networks Founder of ExCEL and NOVA Law Green Lab; collaborates with Exeter Biodiversity & People Network, Exeter Food Policy, and Environmental Intelligence initiatives.

Simon Webbمشاهده پروفایل

استاد

• Organic Chemistry
• Biomaterials
• Nanotechnology
• +۷ مورد دیگر

Simon Webb is a Professor of Organic Chemistry at the University of Manchester, leading the Organic Chemistry Group within the School of Chemistry. His research focuses on molecular self-assembly to create biomimetic materials, with key themes including membrane recognition, synthetic ion channels, and magnetically responsive biomaterials. He earned his PhD from the University of Cambridge and has held academic positions since 2002. His work bridges organic chemistry, nanotechnology, and biomedicine, contributing to sustainable development through advanced materials in medicine and biotechnology. Education: B.Sc./M.Sc. Chemistry, Auckland University (1990–1994) PhD, University of Cambridge (1994–1997) Research Interests: Membrane communication via synthetic ion channels Magnetic nanoparticle-vesicle assemblies for drug delivery Peptide-based foldamers for signal transduction His lab develops materials that mimic biological membranes, such as magnetically triggered drug delivery systems (MNPVs) and foldamer-based sensors. Collaborations span advanced materials, biotechnology, and medical research. Current projects include exploring cooperativity in multivalent ligand binding and lipid raft dynamics. Publications highlight innovations in foldamer design, supramolecular arrays, and enzyme-responsive materials. His work is supported by grants and contributes to UN Sustainable Development Goals in health and advanced materials.

Jorge Piekarewiczمشاهده پروفایل

استاد

• Nuclear Theory
• Neutron Stars
• Dense Matter
• +۶ مورد دیگر

Prof. Jorge Piekarewicz is a Professor of Physics at Florida State University (FSU), affiliated with the College of Arts and Sciences. He earned his Ph.D. in theoretical nuclear physics from the University of Pennsylvania in 1985, followed by postdoctoral research at Caltech and Indiana University. Since 1990, he has been a faculty member at FSU. Education: Ph.D. in Theoretical Nuclear Physics, University of Pennsylvania (1985) Postdoctoral Fellowships: California Institute of Technology and Indiana University Research Interests: His work focuses on extreme-density nuclear matter in neutron stars, bridging terrestrial experiments and astrophysical observations. Key areas include: Neutron star structure and equation of state Weak interaction probes (e.g., parity-violating electron scattering) Multi-messenger astronomy insights from neutron star mergers Covariant energy density functionals and symmetry energy constraints Articles Trends: Recent work emphasizes refining the nuclear equation of state using PREX-CREX experiments, gravitational wave data (e.g., GW170817), and Bayesian methods. Key themes include neutron skin thickness, crust-core interactions, and symmetry energy sensitivity. Service & Outreach: Nuclear Science Advisory Committee (2012–2015) FRIB Theory Alliance Director (2017–2021) INT National Advisory Committee Chair (2018–2020) OLLI Lecturer on stellar evolution and neutron stars Collaborations: Active involvement with CERN, FRIB, JLab, and the Facility for Rare Isotope Beams (FRIB). Research leverages facilities like the Relativistic Heavy Ion Collider and the National Superconducting Cyclotron Laboratory.