جست‌وجوی استاد و پژوهشگر

Raul Castro Fernandezمشاهده پروفایل

استادیار

• Data Management
• Data Science
• Databases
• +۶ مورد دیگر

Raul Castro Fernandez is an Assistant Professor of Computer Science at the University of Chicago, where he researches data ecology, a concept he created to study how data shapes our world and how we can shape it back. He is the faculty co-lead of the Data Science Institute's Data Ecology Research Initiative and a member of ChiData, the data systems research group at the University of Chicago. He is also co-founder and Chief Research Officer at invocate and co-runs Chicago Data Night, a forum connecting industry and academia in Chicago. Castro Fernandez's research focuses on data ecology, data discovery, data markets, and data integration. He develops both theory and systems that help people and organizations find, evaluate, and use data effectively. His work often uses techniques from data management, statistics, and machine learning. He has pioneered concepts in data market design, understanding the economics of data, and building platforms to support markets of data. His research on data ecology frames how data moves through and transforms technological, economic, and social systems—and how to design interventions to make those ecosystems more valuable, equitable, and resilient. His publications reveal a strong focus on data markets, data discovery, and LLM applications for data management. Recent work includes Pneuma (leveraging LLMs for tabular data), Solo (data discovery using natural language), and Nexus (correlation discovery for spatio-temporal data). His research spans theoretical foundations of data value to practical systems for data sharing and discovery. SIGMOD Test of Time Award (2023) NSF CAREER Award (2024) Sloan Research Fellowship (2025) Castro Fernandez has advised numerous PhD, Master's, and undergraduate students who have gone on to pursue PhDs at institutions like University of Washington and Stony Brook, joined companies like Google, Anthropic, and Citadel, or founded startups. His teaching includes courses on The Value of Data, Ethics in Data Science, and Introduction to Databases. He serves on program committees for major conferences including SIGMOD, VLDB, and CIDR, and has been recognized as a Distinguished Reviewer by multiple venues.

Lingyang Chuمشاهده پروفایل

استادیار

• Data Mining
• Machine Learning
• Computer Science
• +۷ مورد دیگر

Lingyang Chu is an Assistant Professor at McMaster University's Department of Computing and Software, previously serving as a postdoc fellow at Simon Fraser University under Jian Pei. He earned his Ph.D. in Computer Science from the University of Chinese Academy of Sciences. Research interests span data mining , machine learning , and statistics , with focus on trustworthy AI (privacy, interpretability, security, robustness, fairness), federated learning , and graph-based machine learning . His work includes scalable data mining on large graphs and deploying systems like personalized federated learning on Huawei Cloud's Harmony OS devices. Publications emphasize adversarial attacks, medical AI, graph robustness, and federated learning frameworks. His advising record includes 28 mentees across Ph.D., M.Sc., and internship levels. Scientific achievements include Best paper candidate at ICME'13 Best demo award at ICMR'13 Academic service roles include: Program Committee: NeurIPS, SIGKDD, CVPR, ICML, and 12+ other top-tier conferences Journal Reviewer: IEEE TKDE, ACM Transactions on KDD, and 8+ journals Editorial Board: ACM Transactions on KDD (Associate Editor) Grant Reviewer: Hong Kong RGC Labs/teams: Maintained open-source ALID algorithm (VLDB'15) for dominant cluster detection, demonstrating technical leadership in scalable graph mining

Gurjot Singhمشاهده پروفایل

پژوهشگر ارشد

• Cybersecurity
• Aviation Network Security
• Secure Communications
• +۳ مورد دیگر

Gurjot Singh is a Research Fellow at the Department of Computer and Information Science (IDA) at Linköping University, Sweden. His research focuses on cybersecurity in aviation systems, next-generation communication networks, and industrial IoT security. He collaborates with prominent researchers like Andrei Gurtov and Suleman Khan, contributing to projects such as SEC-AIRSPACE and Post Quantum Secure Handover Mechanisms. His work spans vulnerability assessments, secure protocol design, and post-quantum cryptography applications. Education details are not explicitly stated, but his research aligns with advanced cybersecurity and network engineering domains. Key research interests include aviation cyber risk assessment, secure data link communications, and privacy-preserving authentication mechanisms for IoT and industrial environments. Publications emphasize cybersecurity challenges in aviation, industrial networks, and IoT, with recent work addressing quantum-resistant protocols and drone remote identification security. Collaborations include contributions to conferences like NordSec and AIAA DATC. He is affiliated with the cybersecurity lab at LiU, supporting educational programs like Digital4Business, which integrates AI and cybersecurity expertise. His role in the Database and Information Techniques (ADIT) division highlights involvement in interdisciplinary research groups.

• Computational Fluid Dynamics
• Turbomachinery
• Aerodynamics
• +۴ مورد دیگر

Dr. Kidambi Sreenivas is an Associate Professor in Mechanical Engineering at the University of Tennessee at Chattanooga (UTC), affiliated with the College of Engineering and Computer Science. He holds a PhD in Mechanical Engineering and specializes in computational fluid dynamics (CFD), with a focus on unstructured multi-physics flow solvers and applications in aerospace, environmental systems, and biomedical engineering. His research bridges academia and industry, collaborating with NASA, the U.S. Navy, Department of Energy, and private companies. Dr. Sreenivas' research interests include rotating machinery simulations, pre-conditioners for non-ideal fluids, and real-world applications such as submarine hydrodynamics, wind farm optimization, aerodynamic efficiency of vehicles, and contaminant dispersal modeling. He has pioneered methods for simulating complex geometries and physics, including high-fidelity simulations of hypersonic vehicles, weapons bay cavities, and shock-wave interactions. Recent work emphasizes advanced CFD methodologies for high-speed flows, thermal effects on turbulence, and aerothermal characteristics of hypersonic test articles. His collaborations have led to practical solutions for drag reduction on Class 8 trucks and improved accuracy in wind turbine modeling. Dr. Sreenivas also contributes to educational initiatives, such as developing PIV systems for undergraduate fluid mechanics labs. His advising and grants reflect partnerships with federal agencies and private sectors, focusing on projects like microplastic sampling devices for stormwater management. These projects highlight his interdisciplinary approach to solving real-world engineering challenges through cutting-edge computational methods.

Liwei Zhangمشاهده پروفایل

استاد

• Neurosurgery
• Brainstem Tumor
• Skull-base Tumor
• +۴ مورد دیگر

Professor Liwei Zhang, M.D., serves as Director of Neurosurgery Department and Vice President of Beijing Tiantan Hospital, with Doctoral Supervisor appointments at Beijing Capital Medical University and Tsinghua University. He is Associate Director of China National Clinical Research Center for Neurological Diseases, Chairman of the Chinese Congress of Neurological Surgeons, and Committee member of the World Federation of Neurosurgical Societies. His research pioneers skull-base and brainstem tumor treatment, focusing on brainstem glioma genetics and brain function protection. He established the National Brain Tumor Registry of China (NBTRC) —now the world's second-largest brain tumor database with 110,000+ clinical records—and developed non-invasive CSF ctDNA diagnostics for molecular profiling. His work includes identifying PPM1D mutations in brainstem glioma and creating patient-derived DIPG cell models. Major recognitions include: 2018 National Science and Technology Progress Award of China (Second Prize) 2017 Beijing Science and Technology Progress Award (Second Prize) 2017 Chinese Medical Science Prize (Third Prize) 2017 Chinese Medical Science and Technology Progress Award (Third Prize) 2015 Beijing Medical Science and Technology Progress Award (Third Prize) 2015 Chinese Medical Science Prize (Third Prize) 2014 Chinese Medical Science Prize (Third Prize) 2006 Beijing Science and Technology Progress Award (Third Prize) 2006 Chinese Medical Science Prize (Second Prize) He has mentored 30+ graduate students, secured 40+ million RMB in research funding, and established China's Multidisciplinary Cooperation System for Skull-based Tumors. As Chief of Beijing Key Laboratory of Brain Tumor Research, he leads NBTRC's global data-sharing initiatives for brain health studies.

• Computer Security
• Cryptography
• Distributed Systems
• +۳ مورد دیگر

Nickolai Zeldovich is the Joan and Irwin M. Jacobs Professor of Electrical Engineering and Computer Science at MIT, and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL). He received his PhD from Stanford University in 2008 and focuses on building practical secure systems, including encrypted databases, undefined behavior detection tools, formally verified file systems, and cryptocurrency protocols. His work spans both theoretical and applied aspects of computer security and distributed systems. Research interests include: Secure system design Distributed consensus mechanisms Formal verification of software/hardware Cryptographic protocols Privacy-preserving web technologies Publications & Verification Tools Recent work focuses on modular verification of complex systems, including: Shipwright (2025): Byzantine-fault-tolerant distributed system verification PoWER (2025): Crash consistency verification framework K2 Architecture (2023): Trustworthy hardware security modules Grove (2023): Separation-logic-based verification library Tiptoe (2023): Private web search protocols Major Awards Best paper award, ACM SOSP (2011, 2015, 2017) Sloan Research Fellowship (2010) NSF CAREER award (2011) MIT Jamieson Award for Teaching (2024) Active in multiple startup ventures including Algorand (cryptocurrency), MokaFive (virtualization), and PreVeil (end-to-end encryption).

• Epidemiology
• Women's Mental Health
• Perinatal Depression
• +۲ مورد دیگر

Donghao Lu is a Professor at Karolinska Institutet's Institute of Environmental Medicine, where he leads the Epidemiology of Women's Mental Health Lab. His research program focuses on psychiatric epidemiology with specialization in women's reproductive mental health, using large-scale population cohorts to investigate biological mechanisms and health outcomes. Primary research domains include: Risk factors and health consequences of perinatal depression and premenstrual disorders Bidirectional relationships between autoimmune diseases and mood disorders Gender disparities in mental health presentation and outcomes Cardiometabolic comorbidities in reproductive psychiatric conditions His recent publications (2023-2025) demonstrate strong methodological consistency, predominantly using Scandinavian national registries for longitudinal cohort designs. Research themes show progression toward understanding systemic health impacts of reproductive mood disorders, particularly cardiovascular risks and mortality. Over 90% of recent work incorporates population-level data analysis with sample sizes exceeding 10,000 participants. Laboratory focus includes integrating epidemiological methods with biomarker research to bridge obstetrics/gynecology and psychiatry. Current projects investigate inflammatory pathways in perinatal depression and genetic determinants of premenstrual disorder trajectories. The team maintains international collaborations across Scandinavia, China, and North America.

Mark Davisonمشاهده پروفایل

استاد مدعو

• Intellectual Property Law
• Trade Marks
• International Trade Law
• +۵ مورد دیگر

Mark Davison is an Emeritus Professor and Adjunct Professor in the Faculty of Law at Monash University, specializing in intellectual property law. He holds dual roles as a legal academic and a practicing lawyer with Knightsbridge Lawyers. His expertise spans trade marks, WTO agreements, and public health regulation, particularly tobacco plain packaging. He has authored seminal works such as Shanahan's Australian Law of Trade Marks and Passing Off and contributed to landmark cases including Australia’s successful defense of tobacco plain packaging laws at the WTO. Research Interests: Intellectual Property Law, Trade Marks, Geographical Indications, WTO Dispute Resolution, Public Health Policy, Database Protection, Competition Law. His work intersects international trade law, health policy, and legal reform. Awards: Recognized globally as one of the 50 most influential figures in IP (2014) and awarded the Vice-Chancellor's Distinguished Teaching Prize (2001). His research has been cited in over 100 court decisions and 250 IP office rulings, including a landmark High Court of Australia ruling in 2023. Advisory Roles: Member of the Advisory Council on Intellectual Property, Commonwealth Department of Health’s Plain Packaging Expert Group, and Intellectual Property Committee of the Law Council of Australia. He advised the Australian government during WTO tobacco litigation and contributed to free trade agreement negotiations involving geographical indications. Projects: Led ARC-funded research on geographical indications in Australian trade agreements and the impact of venture capital on innovation. Collaborated internationally on studies about the New Plurilateralism in global governance and the ‘Human Rights in Three Minutes’ video project. Media Engagement: Regularly commented on IP disputes, EU trade negotiations, and public health policy in media outlets, emphasizing the intersection of law, trade, and societal welfare.

David Cockمشاهده پروفایل

مدرس ارشد

• Formal Verification
• Operating Systems
• Hardware-Software Co-Design
• +۳ مورد دیگر

Dr. David Cock is a Senior Lecturer and Senior Researcher at ETH Zürich's Department of Computer Science, affiliated with the Systems Group. He holds a PhD from UNSW (2014) and a B.Sc. (hons) from UNSW (2004). His research focuses on formal verification, trustworthy systems, and hardware-software co-design, with notable contributions to projects like Enzian (a CPU/FPGA platform) and seL4 (formally verified kernel). He teaches Advanced Operating Systems and Informal Methods courses. Key achievements include the ACM Software System Award (2022) for seL4 and leadership in projects addressing hardware complexity and security. Research interests include formal methods for hardware modeling (Sockeye project), runtime verification, and mitigating timing channels. His work bridges theoretical foundations with practical systems, emphasizing secure and reliable computing platforms. Projects like Trustworthy BMC aim to enhance baseboard management systems' assurance. Collaborations span academia and industry, with open-source contributions to hardware designs and formal tools. Publications span formal verification, hardware modeling, and secure systems, with recent focus on heterogeneous computing and declarative hardware specifications. Teaching emphasizes practical formal techniques and OS design, leveraging real-world hardware (e.g., Barrelfish). His lab, the Systems Group, explores cutting-edge challenges in systems software and architecture.

Christopher T. Bavitzمشاهده پروفایل

استاد بالینی

• Intellectual Property Law
• Media Law
• Technology Law
• +۵ مورد دیگر

Christopher T. Bavitz is the WilmerHale Clinical Professor of Law and Vice Dean for Experiential and Clinical Education at Harvard Law School. He serves as Managing Director of the Cyberlaw Clinic at the Berkman Klein Center for Internet & Society and is a Faculty Co-Director of the Center. His expertise spans intellectual property, media law, AI governance, and technology policy. Bavitz teaches courses like Music & Digital Media and Counseling and Legal Strategy in the Digital Age . His research focuses on algorithmic fairness, intermediary liability, and regulatory frameworks for emerging technologies. Bavitz holds a B.A. from Tufts University and a J.D. from the University of Michigan Law School. Before joining HLS, he was Senior Director of Legal Affairs at EMI Music and practiced litigation at Sonnenschein Nath & Rosenthal. Key initiatives include work on the Lumen Database for transparency in content takedowns, the AGTech Forum for state attorneys general, and policy analysis on AI ethics, facial recognition, and algorithmic risk assessment tools. He advises on startup legal strategy, digital finance, and generative AI accountability.

Colin Garrowayمشاهده پروفایل

دانشیار

• Biodiversity
• Evolutionary Biology
• Genetics
• +۵ مورد دیگر

Dr. Colin Garroway is an Associate Professor in the Department of Biological Sciences at the University of Manitoba, Faculty of Science. His research focuses on understanding how population-level processes influence biodiversity at genetic, population, and species levels. He employs interdisciplinary approaches, including genomics, ecological modeling, and data synthesis, to address challenges in conservation and climate change impacts. His work often targets systems undergoing significant environmental changes, such as urbanized areas and Arctic ecosystems. Dr. Garroway teaches advanced courses in Evolutionary Genetics and Evolutionary Biology. His research emphasizes the interplay between human-driven environmental changes—such as urbanization and climate warming—and their effects on genetic diversity, species distribution, and adaptation. He leads the Garroway Lab, which collaborates on global projects like biodiversity assessments in protected areas and epigenetic studies in wildlife. Key research themes include: biodiversity conservation, climate adaptation genetics, urban evolution, and the genetic consequences of human activities. His work integrates field studies, genomic analyses, and computational models to provide actionable insights for conservation strategies.

Rebecca Nugentمشاهده پروفایل

استاد

• Clustering Methodology
• Record Linkage
• Educational Data Mining
• +۵ مورد دیگر

Rebecca Nugent is the Stephen E. and Joyce Fienberg Professor of Statistics & Data Science and Department Head at Carnegie Mellon University. She holds a PhD in Statistics from the University of Washington (2006), an MS in Statistics from Stanford (2006), and a BA in Mathematics, Statistics, and Spanish from Rice University (2002). Her research spans clustering methodology , record linkage , educational data mining , public health , and semantic organization , with a focus on high-dimensional data and adaptive learning environments. She leads the Integrated Statistics Learning Environment (ISLE) and Corporate Capstone programs, emphasizing low-barrier data platforms for education and industry collaboration. Academic Roles : Department Head, Carnegie Mellon; Affiliated Faculty, Block Center for Technology and Society Research Grants : NSF (2017-2019), NIH (2018), Carnegie Mellon ProSEED/Simon Initiative (2020, 2018), Berkman Fund (2014) Her 15 most recent publications focus on data science pedagogy, clustering algorithms, record linkage applications in historical and medical data, educational data mining, and semantic organization studies. Awards include the ASA Waller Education Award (2015) and the William H. and Frances S. Ryan Award (2015) . She mentors a diverse group of PhD, Master's, and undergraduate students, with alumni pursuing careers in academia, industry, and sports analytics.

Kenneth Edwin Barkerمشاهده پروفایل

استاد

• Privacy Preserving Data Repositories
• Database Management Systems
• Data Privacy and Security
• +۴ مورد دیگر

Dr. Kenneth Edwin Barker is a Professor in the Department of Computer Science within the Faculty of Science at the University of Calgary, where he also serves as Director of the Institute for Security, Privacy and Information Assurance (ISPIA). His academic career spans several decades with significant contributions to database systems and privacy research. Dr. Barker earned his B.S. and M.S. in Computer Science from the University of Calgary in 1982 and 1984 respectively, followed by a Ph.D. in Computer Science from the University of Alberta in 1990. His educational background established the foundation for his extensive research career in database systems and information security. His primary research interests focus on Privacy Preserving Data Repositories , with specific attention to protecting privacy in mobile applications, understanding privacy's impact on data analytics, and architecting database management systems that inherently respect user privacy. His work also extends to distributed database environments, integration of legacy systems, and multidatabase environments. Dr. Barker's research bridges theoretical foundations with practical applications, making significant contributions to how privacy is implemented in real-world systems. An analysis of his recent publications reveals a strong trend toward practical privacy-preserving techniques for cloud data, social networks, and location-based services. His work consistently addresses the tension between data utility and privacy protection, developing innovative methods to maintain data value while safeguarding personal information. The publications span multiple subfields including encrypted search, graph privacy, high-dimensional data privacy, and privacy metrics. Best Paper Award at DBSec 2012 Best Paper Award at CODASPY 2012 Best Paper at BNCOD 2009 Dr. Barker has been instrumental in establishing privacy research infrastructure at the University of Calgary through his leadership of ISPIA. His research has attracted significant funding from various sources supporting privacy and security initiatives. While specific grant details aren't provided in the text, his extensive publication record indicates sustained research funding throughout his career. He has collaborated extensively with researchers both within and outside the University of Calgary, particularly with R. Alhajj and other colleagues on numerous projects. As Director of ISPIA, Dr. Barker oversees a research environment focused on advancing security and privacy technologies. The institute serves as a hub for interdisciplinary research, bringing together computer scientists, social scientists, and legal experts to address complex privacy challenges. His leadership has positioned the University of Calgary as a significant player in privacy research within Canada.

Simon F Deakinمشاهده پروفایل

استاد

• Labour Law
• Tort Law
• Contract Law
• +۵ مورد دیگر

Professor Simon F Deakin is a leading academic in Labour Law, Tort Law, and Corporate Governance at the University of Cambridge and holds the Professor of Law title. As Director of the Centre for Business Research (CBR) and a Fellow of Peterhouse , he bridges empirical legal studies with socio-economic analysis. His work spans comparative law, legal history, and the interplay between law and capitalism, with significant contributions to understanding labor regulation in global contexts. M.A., Ph.D. (Cambridge), Honorary Ph.D. (Louvain-la-Neuve) Director, Centre for Business Research Fellow, Peterhouse College His research program integrates law and economics , institutional theory , and computational legal studies , focusing on labor law evolution, corporate governance, and legal institutionalism. Key projects include computational analysis of historical poor law cases and cross-national studies of labor regulation. His empirical work uses the Cambridge Leximetric Database to quantify legal frameworks' economic impacts. Scientific recognition includes: Fellow of the British Academy (2005) Honorary Doctorate, Catholic University of Louvain (2012) ECGI and Allen & Overy Prizes for Corporate Governance As editor of the Industrial Law Journal and contributor to the Cambridge Journal of Economics , he shapes academic discourse. His advisory roles include Omron Visiting Fellow at Doshisha University (2004-2016) and Francqui Visiting Professor (2012-13). Research collaborations span Japan, China, and Europe, examining labor-market deregulation and legal origins theory.

Walter Jetzمشاهده پروفایل

استاد

• Ecology
• Biodiversity Science
• Conservation
• +۵ مورد دیگر

Walter Jetz is a Professor of Ecology and Evolutionary Biology and the School of the Environment at Yale University, where he directs the Center for Biodiversity and Global Change. He chairs the E.O. Wilson Biodiversity Foundation and co-chairs the GEO BON Species Population Working Group. His work focuses on biodiversity science, conservation, and global change ecology. Education: D.Phil. in Zoology (University of Oxford, 2002), M.Sc. in Integrative Bioscience (Oxford, 1997) Research interests include macroecology, species distribution modeling, and conservation science across spatial scales. His group develops tools like Map of Life , Wildlife Insights , and Half-Earth Project to address biodiversity monitoring and area-based conservation. Current projects explore climate change impacts on tropical ecosystems, movement ecology, and machine learning applications in biodiversity science. Recent publications focus on niche scaling, climate change vulnerability, deep learning for species distribution, and mountain biodiversity monitoring. Awards include being an ISI Highly Cited Researcher since 2014. Over 30 former students hold faculty positions globally. The lab promotes diversity, equity, and inclusion in science and collaborates with NASA, Microsoft, and the Gordon and Betty Moore Foundation.