David Mazières is a Professor at Stanford University , affiliated with the School of Engineering and the Department of Computer Science . He serves as a software engineer at the Stellar Development Foundation . His work bridges academic research and industry applications in distributed systems and security. University: Stanford University Academic Rank: Professor Email: dm@scs.stanford.edu Research Interests: David Mazières' research focuses on distributed systems , cryptocurrencies , and computer security . Key areas include consensus protocols (e.g., Stellar ), low-latency scheduling ( Syrup , Shinjuku ), and cryptographic techniques for privacy and security ( SafetyPin , CCFI ). Key Achievements: His notable works include: TCP-ENO (RFC 8547) for secure transport protocols Stellar Consensus Protocol for decentralized finance SOSP 1999 Best Paper for 'Separating key management from file system security' Teaching Contributions: He has taught core and advanced courses at Stanford since 2005, including CS212 (Operating Systems) , CS240h (Functional Systems in Haskell) , and CS251 (Cryptocurrencies and Blockchain Technologies) . Previously taught courses at NYU (2001-2005).
Asaf Cidon is an Associate Professor at Columbia University, jointly affiliated with the Department of Electrical Engineering and Computer Science, and a member of the Data Science Institute. His research focuses on software systems , storage , large-scale machine learning , and cybersecurity . Stanford University - PhD in Electrical Engineering Stanford University - MS in Electrical Engineering Technion - BS in Computer and Software Engineering His work in distributed storage systems has been commercialized by companies such as Facebook, Tibco, and Rubrik. He has led projects like Sentinel and Forensics during his industry career. Recent publications highlight advancements in software-based radiation protection (ASPLOS'26), PCIe pooling with CXL (HotOS'25), and AI phishing detection (IMC'25). These reflect his expertise in system architecture , security , and networking . Scientific recognitions include best paper awards at OSDI, Usenix Security, CIDR, and ATC, along with NSF CAREER and ARO Young Investigator Awards . His papers Cookie Monster (SOSP'24) and Chablis (CIDR'24) received notable accolades. He has mentored numerous PhD and Master's students , including Edward Guo, Harry Wang, and Teng Jiang, many of whom now hold roles at Google, Meta, Amazon, and academic institutions. His lab at Columbia is actively recruiting CS and EE PhD students. Prior to Columbia, he founded and led the startup Sookasa to acquisition and served as Senior Vice President of Email Protection at Barracuda Networks , managing a $200M business with 100 engineers.
Marcin Wągiel is an Assistant Professor in the Department of Czech Language at the Faculty of Arts, Masaryk University, Brno, Czech Republic. His office is located in building D, room D.413 at Arna Nováka 1, with contact details including phone 549 49 8884 and email marcin.wagiel@phil.muni.cz. His research centers on theoretical and descriptive linguistics with emphasis on Czech language semantics and syntax. Key interests include degree/number constructions, part-whole structures, classifier systems, and temporal-modal interactions in natural language. He employs formal linguistic frameworks to analyze comparative and typological phenomena across languages, particularly within Slavic linguistics. Wągiel actively supervises doctoral research, currently guiding a thesis on temporal-modal semantics. He has secured significant research funding including Czech Science Foundation projects like Classification of classifiers (GA24-10073S, 2024-2026) and Part-whole structures across languages (GA20-16107S, 2020-2023). Additionally, he contributes to Masaryk University's student research programs supporting work in general linguistics, Indo-European studies, narratology, and Baltic studies.
Henrik Sandberg is a Professor at the Division of Decision and Control Systems , KTH Royal Institute of Technology , Stockholm, Sweden. He holds the title of Deputy Head of Division and is affiliated with the School of Electrical Engineering and Computer Science . Education: MSc in Engineering Physics (1999) PhD in Automatic Control (2004) from Lund University Postdoctoral position at Caltech (pre-2007) Research Interests: Focus on cyber-physical systems security , power systems , model reduction , and fundamental limitations of control systems . Key sub-areas include attack detection , networked control , privacy-preserving estimation , and resilient control architectures . Publications: Over 150 papers across IEEE Transactions and Automatica , covering topics like stealthy attacks , distributed control , LQG optimization , and thermodynamic costs in filtering . Recent work includes LWE-based encrypted control and Bayesian deception mechanisms . Scientific Awards: Best Student Paper Award Finalist at IEEE CASE 2014; Best Student-Paper Award at IEEE CDC 2004. Grants & Projects: Leads the DYNACON project (WASP Cybersec cluster) and collaborates on CERCES (critical infrastructure resilience). Serves as examiner for multiple advanced courses in cybersecurity and control systems. Contact: Email: hsan@kth.se Phone: +46 (0)8 790 7294 Room: A:607, Malvinas Väg 10, Stockholm
Catherine Lai is a Reader (~Associate Professor) in the Department of Linguistics and English Language at the University of Edinburgh, with strong affiliations to the Centre for Speech Technology Research (CSTR) and the Institute for Language, Cognition and Computation (ILCC) in the School of Informatics. She is based in the School of Philosophy, Psychology and Language Sciences and is actively involved in research, teaching, and academic service. Department: Department of Linguistics and English Language School: School of Philosophy, Psychology and Language Sciences Research Institutes: Centre for Speech Technology Research, Institute for Language, Cognition and Computation Email: C.Lai@ed.ac.uk Her research centers on the role of prosody—non-lexical aspects of speech—in spoken communication. She investigates how prosody contributes to discourse structure, information structure, and affect in dialogue, using interdisciplinary methods from linguistics and machine learning. Her work bridges theoretical linguistics and practical speech technology, aiming to improve spoken language understanding and synthesis systems. She is particularly interested in how prosody shapes listener expectations and how affect and topic are expressed and perceived in conversation. Her recent publications reflect a strong focus on self-supervised learning in speech models, emotion recognition, ASR error correction using large language models, cognitive state classification, and ethical considerations in language technology. She explores topics such as the uncanny valley in synthetic speech, gender expression through voice, and community-centered development of language technologies. Prize from Scopus Profile Catherine Lai has supervised several PhD students, including Leimin Tian and Yuanchao Li, and has been involved in significant research projects, such as a Toyota-funded initiative on spoken dialogue for robot companions. She has secured multiple grants and leads a research agenda that integrates theoretical inquiry with real-world applications in assistive technologies and social science. Her academic service includes organizing major conferences like Interspeech and UK and Ireland Speech. She is a key member of research teams at CSTR and ILCC, collaborating across disciplines to advance the understanding of spoken communication and the development of robust, ethical speech technologies.
Harry Nelson is an Associate Professor at the University of British Columbia (UBC) within the Faculty of Forestry , specifically the Department of Forest Resources Management . His work focuses on natural resource policy, climate change adaptation, and sustainable forest management in Canada. Research Themes : Ecosystems and Climate Change, Sustainable Forest Management, Indigenous Governance Key Interests : Climate change impacts on forestry, ecosystem services, policy development Nelson’s research explores the structural transformation of the forest sector under changing markets and public expectations. He investigates ecosystem services as a business model for Indigenous forest management in BC and analyzes global climate adaptation strategies. Recent publications highlight cross-border forestry challenges, wildfire risks, and socio-economic dynamics in forest enterprises. His 15 most recent articles (2019–2025) span interdisciplinary topics such as climate change adaptation, Indigenous governance, bioeconomy, and global forest policy. These works emphasize the integration of ecological and economic frameworks to address sustainability. Scientific awards and recognitions: No awards explicitly mentioned in the provided texts. Nelson’s email address ( harry.nelson@ubc.ca ) and research areas are publicly available. No student advisement details or grant information is provided in the scraped data.
Grant Ho is an Assistant Professor in the Computer Science Department at the University of Chicago. His research focuses on computer security, particularly at the intersection of data and security. Prior roles include a CSE Postdoctoral Fellowship at UC San Diego, a Visiting Researcher position at Corelight Labs, and a PhD in Computer Science from UC Berkeley (advised by Vern Paxson and David Wagner). He holds a B.S. in Computer Science from Stanford University. **Research Interests**: Enterprise security, AI/ML applications in security, large-scale threat analysis, and data-driven cybersecurity practices. His work spans detecting attacks (e.g., phishing, ransomware), improving security measures, and evaluating the efficacy of security policies. **Awards**: 2023 IEEE Euro S&P Best Paper Award, 2019 and 2017 USENIX Security Distinguished Papers, 2017 Internet Defense Prize, NSF and Facebook Fellowships, and the 2015 IEEE S&P Distinguished Practical Paper Award. **Advising & Teaching**: Current advisees include Aniket Anand (PhD), Christiana Marchese (PhD), and Robert Liu (B.S.). Taught courses include Introduction to Computer Security (CMSC 23200) and seminars on AI/ML and NLP in cybersecurity. Collaborates with industry partners like Barracuda Networks and Dropbox. **Labs & Teams**: Leads a research group focused on enterprise security challenges, emphasizing practical impact and interdisciplinary approaches.
BONILLA MANRIQUE, OSCAR ELIAS is an Assistant Professor at Carlos III University of Madrid. His affiliation is listed under the Torres Quevedo building (Leganés campus), office 4.0.F21. Contact details include the email oscarelias.bonilla@uc3m.es and phone number 916248398. Research interests are associated with the Grupo Universitario de Tecnologías de Identificación (GUTI), focusing on identification technologies, computer science applications, and engineering solutions. Specific areas include data security, signal processing, and applied mathematics methodologies. His professional activities include participation in research projects and co-authorship networks, though specific publications or grants are not detailed in the provided information. He is part of the university’s research portal infrastructure, indicating active involvement in academic collaboration and knowledge transfer initiatives. Laboratory/team affiliation: Member of GUTI (Grupo Universitario de Tecnologías de Identificación).
M. Granger Morgan is the Hamerschlag University Professor of Engineering at Carnegie Mellon University , with appointments in the Department of Engineering and Public Policy , Department of Electrical and Computer Engineering , and H. John Heinz III College . He co-directs the NSF Center for Climate and Energy Decision Making and the Electricity Industry Center at CMU. Education: Ph.D., Applied Physics and Information Science, University of California, San Diego (1969) M.S., Astronomy and Space Science, Cornell University (1965) B.A., Physics, Harvard College (1963) His research spans science, technology, and public policy with focus areas in energy systems , climate change mitigation , electric grid resilience , and uncertainty characterization in policy analysis . Recent publications analyze hydrogen market barriers , carbon sequestration timelines , and interdependent energy infrastructure risks . Scientific leadership includes: Member, National Academy of Sciences Member, American Academy of Arts and Sciences Co-chair, NAS Report Review Committee Board member, International Risk Governance Council Foundation Advisory Board, E.ON Energy Research Center, RWTH Aachen DOE Electricity Advisory Committee member Former EPA Science Advisory Board Chair Fellow of AAAS, IEEE, and Society for Risk Analysis Contact: Office 5220 Wean Hall, Phone 412-268-2672, Email granger.morgan@andrew.cmu.edu
Xiaoming Liu is the Anil K. and Nandita Jain Endowed Professor of Engineering and MSU Foundation Professor in the Department of Computer Science and Engineering at Michigan State University . Holding a Ph.D. from Carnegie Mellon University (2004), he leads cutting-edge research in computer vision and machine learning. Research Interests : Computer Vision Pattern Recognition Image and Video Processing Machine Learning Medical Image Analysis Multimedia Retrieval Recent Research Trends : Focus on 3D object detection and depth estimation Development of robust biometric recognition systems Integration of radar-camera fusion for autonomous systems Advancements in self-supervised and multimodal learning Exploration of adversarial AI security Creation of interpretable forgery detection frameworks Teaching : Spring 2013: CSE891-006 Computer Vision Seminar Fall 2012-2015: CSE803 Computer Vision Spring 2014-2017: CSE 471 Media Processing and Multimedia Contact Information : Email: liuxm@cse.msu.edu Office: EB 3137, Michigan State University Phone: +1 (517) 355-2359
Janne Lindqvist is an Associate Professor at the Department of Computer Science, Aalto University. His research bridges security engineering, human-computer interaction (HCI), and privacy, with a focus on making security systems usable and user-centric. University: Aalto University Department: Department of Computer Science Rank: Associate Professor Email: janne.lindqvist@aalto.fi Lindqvist’s work spans security engineering , privacy systems , and user research , emphasizing practical authentication methods, password management, and human behavior in security contexts. He explores how users interact with systems like TPM APIs, gesture passwords, and mobile authentication mechanisms. Recent publications highlight trends in authentication systems , ubiquitous computing security , and mobile user behavior . Key themes include biometric authentication, gesture-based security, and balancing usability with cryptographic robustness. CHI'25 Honorable Mention Award CHI'24 Best Paper Award His research integrates empirical studies with technical implementations, such as analyzing password forgetting patterns and developing acoustic sensing for vehicle detection (e.g., Auto++, BO-Ear). Collaborative efforts span machine learning, psychology, and embedded systems.
Dr. Ruiqiao Zhang serves as a Senior Lecturer in Corporate Finance, Corporate and Commercial Law at the University of Edinburgh's School of Law, where she is affiliated with the Edinburgh Centre for Commercial Law. Her office hours are held Thursdays from 13:00-14:00, and she can be contacted via telephone (+44 (0)131 650 6957) or email (Ruiqiao.Zhang@ed.ac.uk). Her academic credentials include: Bachelor of Law and Bachelor of Science from Chinese institutions Master of Civil and Commercial Law (China), Master of International Commercial and Trade Law (Netherlands), and Master of Comparative Law (Canada) Doctor of Civil Law (DCL) from McGill University under Professor Lionel Smith Dr. Zhang's research centers on trust law evolution in financial markets, with emphasis on comparative analyses between Common Law and Civil Law systems—particularly China's adoption of trust principles. Her work examines trustee roles in commercial contexts, beneficiary interests in commercial trusts, and regulatory frameworks for trust applications in asset management. She bridges theoretical legal concepts with practical financial market demands, highlighting tensions between traditional trust structures and modern entrepreneurial functions. Analysis of her publication trends reveals consistent focus on trust law's adaptation to financial innovation, with increasing attention to Chinese regulatory frameworks and cross-border implications. Her research spans corporate finance, international trade law, and property rights, demonstrating how commercial trusts evolve from guardian entities to active financial instruments while navigating jurisdictional complexities. No scientific awards were documented in the provided materials. Dr. Zhang accepts PhD students and maintains active advisory roles with the Scottish Ethnic Minorities Lawyers Association, China Law Society, and Cross Party Group on China of the Scottish Parliament. Her consultancy work connects academic research with policy development in UK-China legal cooperation, including participation in the Third UK-China Rule of Law Roundtable. She contributes to the Edinburgh Centre for Commercial Law's research initiatives, focusing on commercial trusts' regulatory challenges and their integration into civil law jurisdictions through comparative legal studies.
Daniel Genkin is an Associate Professor at the School of Cybersecurity and Privacy and School of Computer Science at Georgia Institute of Technology. His research spans system security, cryptography, side-channel attacks, hardware security, cryptanalysis, secure multiparty computation (MPC), verifiable computation, and SNARKs. He holds a PhD in Computer Science from the Technion - Israel's Institute of Technology and was awarded the 2024 Sloan Research Fellowship. His work focuses on microarchitectural vulnerabilities, including Rowhammer , Cache Timing , and Speculative Execution attacks. Notable contributions include co-discovering Spectre and Meltdown vulnerabilities. He has received multiple awards, including Distinguished Paper Awards , IEEE Micro Top Picks , and Black Hat Pwnie Awards . Publications highlight trends in Side-Channel Analysis , Hardware Exploitation , and Cryptographic Implementations . His email is genkin@gatech.edu , and he actively seeks students for research in security and cryptography.
Dr. Yunfei Jiang is an Assistant Professor in the Department of Plant, Food, and Environmental Sciences at Dalhousie University's Faculty of Agriculture. Her research focuses on improving crop resilience to climate change and sustainable agronomic practices in Atlantic Canada, with expertise in agronomy, crop physiology, and environmental stress responses. She holds a Ph.D. in Plant Science from the University of Saskatchewan (2017), an M.Sc. from Dalhousie University (2013), and a B.Sc. in Horticulture from Fujian Agriculture and Forestry University (2010). Her research includes evaluating enhanced efficiency fertilizers, biochar, and intercropping systems to enhance soil health and crop yields. She teaches courses such as AGRN2001 (Cereal-Based Cropping Systems) and PLSC2001 (Plant Propagation Techniques). Funding and awards details, along with her graduate students' projects, are available on her lab website at jiangdal.ca . Dr. Jiang is affiliated with professional organizations including the Nova Scotia Institute of Agrologists and the American Society of Agronomy. Her lab, the Agronomy and Crop Physiology (ACP) Lab, emphasizes sustainable agriculture and crop adaptation to environmental challenges. Contact her via email at yunfei.jiang@dal.ca or visit her lab's address: PO Box 550, Truro, NS B2N 5E3.
Tan Chuan Hoo is an Associate Professor (tenured) and Deputy Head of the Department of Information Systems and Analytics at the National University of Singapore's School of Computing. With a distinguished academic career spanning multiple continents, he brings expertise in digital transformation, healthcare informatics, and enterprise systems to his teaching and research. His educational background includes: B.Sc. (1st Class Honours, National University of Singapore) M.Sc. (Accelerated, National University of Singapore) Ph.D. (National University of Singapore) Professor Tan's research focuses on digital transformation, particularly designing, deploying, and evaluating technological innovations. His work centers on two critical areas: digital commerce (provision of digital services such as online shopping aids) and digital organization (ensuring operational efficiency and performance). His research has significant implications for healthcare institutions, corporations, and crisis preparedness and response organizations. He conducts comprehensive analyses using various scientific methodologies including field experiments and mixed methods to understand how digital technologies reshape business operations and enhance societal well-being. His publication record shows a consistent focus on information systems, with recent articles (2020-2025) emphasizing healthcare informatics, digital transformation, and open innovation. His work demonstrates a clear trajectory toward understanding how technology intersects with organizational effectiveness and societal implications, with increasing attention to healthcare applications and digital crisis management. Professor Tan has received numerous prestigious awards for his contributions to the field: Faculty Teaching Excellence Award, NUS (2024, 2017) Information Management Research Award, China Information Economics Society (2023) Reviewer Hall of Fame, Journal of AIS (2020) Outstanding Associate Editor Award, MIS Quarterly (2016) Best Reviewer Award, Journal of AIS (2016) INFORMS ISS Design Science Award (2013) Honorable Mention, Journal of AIS (2015) He has successfully advised PhD students and collaborated with public and private entities on research projects. His editorial service as Associate Editor for Information Systems Research and MIS Quarterly, along with board memberships at other leading journals, demonstrates his significant influence in the field. Professor Tan has secured research grants supporting projects on digital crisis preparedness, disaster response technology, and healthcare digitalization. His research group focuses on understanding how technology can be designed and implemented to support organizations in crisis situations, enhance healthcare services, and improve digital commerce. Current projects include examining digital crisis management, technology for disaster response, and the digital transformation of healthcare services.
