جستجوی استاد راهنمای دانشگاهی

• Digital Communication
• Multimodal Theory
• Interdisciplinary Methodologies
• +۳ مورد دیگر

Carey Jewitt is a Professor of Technology and Learning at UCL Knowledge Lab, part of the Department of Culture, Communication and Media at the UCL Institute of Education (IOE). She also serves as Chair of the UCL Collaborative Social Science Domain. Her research focuses on how digital technologies shape interaction and communication, emphasizing interdisciplinary methodological innovation and multimodal theory development. She leads the InTouch project, an ERC Consolidator Award investigating the social implications of digital touch technologies for future communication. She has secured funding from the ERC, ESRC, EPSRC, and the British Academy for interdisciplinary research projects. Carey co-founded the journals Multimodality & Society and Visual Communication (both published by SAGE). Her work appears in journals like New Media & Society and Information, Communication & Society , alongside her 2020 book on digital touch communication. Her research trends emphasize the intersection of technology, communication, and sociology, with recent work exploring multimodal interaction, digital touch, and sociotechnical systems. Awards include the prestigious ERC Consolidator Award. Carey has advised numerous interdisciplinary projects and led grants from major funders. Her work is affiliated with UCL Knowledge Lab and the InTouch initiative, focusing on collaborative social science and innovative digital methodologies.

Chaowei Xiaoمشاهده پروفایل

استادیار

• Trustworthy Machine Learning
• Security
• Computer Vision
• +۳ مورد دیگر

Chaowei Xiao is an Assistant Professor at the University of Wisconsin-Madison (starting 2023), affiliated with the School of Computer, Data & Information Sciences. His research focuses on securing AI systems, particularly exploring robustness in trustworthy machine learning, autonomous systems, and large language models (LLMs). He holds a Ph.D. from the University of Michigan, Ann Arbor, and a B.S. from Tsinghua University. Before joining UW-Madison, he worked as a research scientist at NVIDIA (2020–2022) and at Arizona State University (2022–2023). His work bridges model and system perspectives to ensure practical robustness and provable guarantees in AI applications like autonomous driving, healthcare, and IoT. Key research areas include adversarial robustness, AI security, and ethical AI. Recent contributions include frameworks for detecting LLM hallucinations, mitigating jailbreak attacks, and securing multi-modal systems. His work on diffusion models for adversarial purification and physical-world attacks on autonomous driving systems has been widely recognized. Notable awards include the 2024 USENIX Security Distinguished Paper Award, ACM Gordon Bell Finalist (2024), and Schmidt Sciences AI2050 Fellowship. He has advised students like Xiaogeng Liu (NVIDIA Fellow) and secured grants from Amazon, Apple, and UW-Madison. His lab actively publishes at top venues like NeurIPS, ICML, and CVPR.

Leigh Spannerمشاهده پروفایل

استادیار

• Gender and Security
• Feminist Political Economy
• Military Families
• +۷ مورد دیگر

Leigh Spanner is an Assistant Professor in the Department of Political Science at Saint Mary’s University (Faculty of Arts). She holds a PhD from the University of Alberta and previously served as a postdoctoral fellow at Mount Saint Vincent University. Her research focuses on feminist-informed analyses of Canadian national security, military policies, and veteran life, emphasizing gender, global security, and the intersections of intimate life with state structures. Education: PhD in Political Science, University of Alberta (2019) MA in Political Science, Memorial University of Newfoundland (2013) BA (Hons) in Political Science and Public Administration, University of Ottawa (2008) Research Interests: Dr. Spanner explores how gender, inequality, and political economy shape military families, veteran transitions, and security policies. She examines the role of households and caregiving in sustaining global security frameworks, with a focus on Canadian Armed Forces and Veterans Affairs Canada policies. Grants & Collaborations: Her monograph on military families was funded by SSHRC. She collaborates with DND MINDS Collaborative Network and previously with the Defence Security Foresight Group. Recent work includes policy contracts with Veterans Affairs Canada. Labs/Networks: Active member of military culture research networks, including the DND MINDS Collaborative Network.

Yan Sunمشاهده پروفایل

استاد

• Cybersecurity
• Cyber-Physical Systems Security
• Power Grid Security
• +۵ مورد دیگر

Professor Yan (Lindsay) Sun is a faculty member at the University of Rhode Island in the College of Engineering under the Department of Electrical, Computer and Biomedical Engineering . She is the founding director of the Center for Cyber-Physical Intelligence and Security (CYPHER) and an IEEE Fellow . Her research focuses on cyber-physical systems security , power grid security , network security , and trustworthy social computing , with a particular emphasis on trust modeling and management in complex systems. Her publications span smart grid security , microgrid control , machine learning applications in power systems, and blockchain-based security mechanisms . The work often explores adversarial threats , resilient control strategies , and data augmentation techniques for improved grid monitoring. NSF CAREER Award (2007) IET Wireless Sensor Systems Premium Award (2018) EURASIP Best Paper Award (2015) IEEE Fellow (2019) URI College of Engineering Outstanding Research Award (2022) She actively leads interdisciplinary CYPHER Lab initiatives involving cyber-physical system resilience , network security , and smart grid analysis , collaborating with government and industry partners.

Zohreh Pourzolfagharمشاهده پروفایل

استادیار

• Digital Transformation
• Smart Cities
• Information Management
• +۳ مورد دیگر

Zohreh Pourzolfaghar is an Assistant Professor in Management Information Systems (MIS) at the School of Business, Maynooth University (MU). She serves as Director of the IT-Enable Innovation Programme and cluster lead for the Digital Construction cluster at the Innovation Value Institute (IVI). She is also a member of Lero, the SFI Research Centre for Software. Education: PhD in Project Management (University Putra Malaysia, 2011); MSc in Management Systems and Productivity; BSc in Software Engineering. Research Interests : Focuses on digital transformation for SMEs, information management in construction, and smart city architectures. Leads EU-funded projects like EnTrust (agri-data governance), DIGI+ (sustainable digital transformation), and DigiFABs (food & beverage SMEs). Co-PI for projects such as GDI-IE (genomic data infrastructure) and PERFORM (digital retail innovation). Grants & Awards : Secured funding from SFI, Enterprise Ireland, and EU. Notable awards include the BIM Hero Award (2022) and Research Engaged Award (2022). Teaching : Courses include Digital Business, Digital Technology Governance, and Enterprise Architecture. Advises PhD students in MIS and digital transformation. Industry Collaboration : Works with firms like ArcDox and Corballis Technologies on BIM standards and data governance. Active in national and EU policy networks, including NSAI committees.

Cesar Dario Cadena Lermaمشاهده پروفایل

مدرس

• Robotics
• Computer Vision
• SLAM (Simultaneous Localization and Mapping)
• +۳ مورد دیگر

Dr. Cesar Dario Cadena Lerma is a Lecturer at the Department of Mechanical and Process Engineering and a tenured Senior Scientist at the Institute of Robotics and Intelligent Systems (IRIS) at ETH Zurich. He leads the Perception, Mapping and Navigation team within the Robotics Systems Lab (RSL), co-founded and directs the ETH RobotX initiative focusing on educational robotics, and previously held roles at ETH Zurich's Autonomous Systems Lab, University of Adelaide, and George Mason University. His research focuses on robotics perception, particularly in SLAM (Simultaneous Localization and Mapping), semantic scene understanding, and robust perception systems for dynamic environments. Education: PhD in Computer Science and System Engineering from the University of Zaragoza, followed by postdoctoral research at George Mason University and The University of Adelaide. Professional roles include managing director of ETH RobotX and leadership in multi-modal mapping frameworks like maplab 2.0. Research interests emphasize integrating perception and learning in robotics, with a focus on semantic mapping, data association, place recognition, and navigation in unstructured environments. His work bridges traditional SLAM techniques with modern deep learning approaches to create robust, modular systems. Key contributions include the PHASER registration algorithm, SCIM obstacle avoidance framework, and C-Blox dense mapping system. Awards include the Best Paper Award at the 2017 IEEE International Symposium on Safety, Security, and Rescue Robotics. His articles span topics like semantic pointcloud filtering, volumetric mapping, and embodied domain adaptation. He collaborates widely, with over 50 peer-reviewed publications in top venues such as IEEE Robotics and Automation Letters and International Journal of Robotics Research.

• Cryptography
• Post-Quantum Cryptography
• Elliptic Curve Cryptography
• +۳ مورد دیگر

David Jao is a Professor in the Department of Combinatorics and Optimization at the University of Waterloo. His research focuses on post-quantum cryptography, particularly leveraging isogenies of supersingular elliptic curves for secure cryptographic protocols. He is renowned for co-developing the Supersingular Isogeny Key Encapsulation (SIKE) protocol, a leading candidate for post-quantum cryptography standards. His work spans theoretical foundations and practical implementations, including optimizing isogeny-based systems for embedded devices and ARM processors. Research interests include isogeny-based cryptosystems, elliptic curve cryptography, zero-knowledge proofs, and cryptographic security against quantum attacks. He explores applications of expander graphs and Ramanujan graphs in cryptography, alongside algorithmic improvements for cryptographic protocols such as SIDH (Supersingular Isogeny Diffie-Hellman). Key contributions include advancements in key compression techniques for SIKE, side-channel attack mitigation, and formalizing security models for post-quantum key exchange. His publications analyze cryptographic hardness assumptions, such as the discrete logarithm problem in finite groups and the semidirect product structure in isogeny-based systems. Jao’s work bridges theoretical mathematics and applied cryptography, with a focus on ensuring practical security in next-generation cryptographic systems. His research addresses challenges in quantum-resistant authentication, key establishment, and digital signatures, often emphasizing efficiency and resistance to both classical and quantum attacks.

Marta Zofia Kwiatkowskaمشاهده پروفایل

استاد

• Automated verification
• Probabilistic model checking
• Temporal logics
• +۳ مورد دیگر

Professor Marta Zofia Kwiatkowska is Professor of Computing Systems and Fellow of Trinity College at the University of Oxford, where she has held a faculty position since 2007. She previously served as Professor of Computer Science at the University of Birmingham (2001–2007), Reader and Lecturer at the University of Birmingham (1994–2001), and Lecturer at the University of Leicester (1986–1994). Her academic career began as Assistant Professor at the Jagiellonian University in Kraków, Poland (1980–1988). Education: BSc/MSc in Computer Science, Jagiellonian University, Kraków MA, University of Oxford PhD, University of Leicester Research Interests: Professor Kwiatkowska spearheaded the development of probabilistic and quantitative verification methods on the international stage. Her work bridges theory and practice through the PRISM model checker—the leading software tool in probabilistic model checking—used worldwide for research and teaching. Application domains include communication and security protocols , nanotechnology designs , power management , ubiquitous computing and systems biology . She investigates automated verification , temporal logics , semantic models for concurrency , real-time systems , and biological process modelling . Current grant funding exceeds £3.7 million from EPSRC, EU and ERC, including the prestigious ERC Advanced Grant VERIWARE. Scientific Awards & Honours: Fellow of the Royal Society Fellow of the ACM Fellow of the European Association for Theoretical Computer Science (EATCS) Fellow of the British Computer Society (BCS) Fellow of the Polish Society of Arts & Sciences Abroad ERC Advanced Grant VERIWARE (€2.046 M, 2010–2015) Top Cited Article Award, Theoretical Computer Science (2005–2010) Best Paper Award, QEST 2006 Doctoral Supervision & Grants: Professor Kwiatkowska actively supervises doctoral students (D.Phil. at Oxford) and post-doctoral researchers. She welcomes applications in areas aligned with her research interests, detailed here . Current students include Charlie Griffin, Daqian Shao, Matthew Yuan and Minghao Liu; past students and researchers number over twenty, many now in faculty or industry leadership roles. Laboratory & Teams: She leads the Oxford Quantitative Verification group within the Department of Computer Science. Ongoing projects include FUN2MODEL, ELSA, FAIR and the flagship PRISM probabilistic model checker. The group maintains strong collaborations with biological, robotics and engineering teams worldwide.

Ke Wangمشاهده پروفایل

استاد

• Data Mining
• Database Systems
• Data Privacy
• +۳ مورد دیگر

Ke Wang is a Professor in the School of Computing Science at Simon Fraser University . His research focuses on Data Mining , Database Systems , Data Privacy , and Graph and Network Data . He holds a Ph.D. and M.Sc. from the Georgia Institute of Technology (1986 and 1984, respectively). Teaching includes courses like Database Systems II , Introduction to Data Mining , and Special Topics in Databases . He has advised numerous students and alumni, many of whom now work in tech, academia, and industry. Notable awards include the 2013 Faculty of Applied Sciences Research Excellence Award and the ECIR 2019 Best System Paper . His work emphasizes privacy-preserving techniques and has led to contributions like the Introduction to Privacy-Preserving Data Publishing textbook. He has served as a conference chair for major data mining events like SDM 2015/2016 and holds editorial roles in journals like ACM TKDD. His lab, the Database and Data Mining Laboratory , focuses on actionable solutions for real-world data challenges.

Brian A. Primackمشاهده پروفایل

استاد

• Social Media and Mental Health
• Public Health
• Behavioral Science
• +۳ مورد دیگر

Brian A. Primack is a Professor of Public Health with tenure at Oregon State University's College of Public Health and Human Sciences, serving as its dean since 2022. Previously, he was Dean of Education and Health Professions at the University of Arkansas and Dean of the Honors College at the University of Pittsburgh. His research focuses on social media's impact on mental health, including depression, anxiety, and loneliness. He has authored over 300 publications, including his book You Are What You Click , and secured over $10 million in federal research funding. Dr. Primack's research highlights both risks and opportunities of digital media. He emphasizes optimizing social media use through strategies like curating connections and mitigating negativity. His work intersects education, medicine, and public health, addressing disparities in health outcomes, such as those exacerbated during the pandemic. Notable awards include membership in the American Society of Clinical Investigation (2019) and the Next Big Idea Book Award shortlist (2021). His leadership philosophy prioritizes unlocking potential, fostering community trust, and advancing equitable health solutions. He oversees a college with nearly 2,400 students and $18 million in annual research funding, emphasizing community engagement and innovative scholarship.

Mahzarin R. Banajiمشاهده پروفایل

استاد

• Social Cognition
• Implicit Bias
• Prejudice and Stereotyping
• +۷ مورد دیگر

Mahzarin R. Banaji is the Richard Clarke Cabot Professor of Social Ethics at Harvard University and a Harvard College Professor. She is affiliated with the Department of Psychology and is a key figure in the Mind, Brain, and Behavior (MBB) Interfaculty Initiative. Her research is centered at the intersection of social cognition, implicit bias, and ethical behavior. Institution: Harvard University School: Harvard College Department: Psychology Email: banaji@fas.harvard.edu Dr. Banaji earned her Ph.D. from Ohio State University and has been a leading scholar in the study of unconscious bias. Her work explores how implicit attitudes shape perception, judgment, and behavior outside conscious awareness. She co-developed the Implicit Association Test (IAT) , a groundbreaking tool for measuring unconscious biases related to race, gender, age, and other social categories. Her research spans social cognition, prejudice, stereotyping, moral psychology, and the neuroscience of social behavior . More recently, she has extended her work into the domain of artificial intelligence, investigating how human-like biases emerge in large language models. The 15 most recent publications reflect a strong trend toward computational social science , combining psychological theory with natural language processing and AI. Her team analyzes bias in digital corpora, studies the transmission of stereotypes in AI systems, and develops tools to measure intersectional and implicit attitudes at scale. These works bridge psychology, ethics, and technology, highlighting the societal implications of implicit cognition. Among her notable scientific honors are: Fellow of the American Academy of Arts and Sciences William James Fellow Guggenheim Fellowship Kurt Lewin Award (SPSSI) Harvard College Professorship Dr. Banaji has advised numerous graduate students, including Tessa Charlesworth and Kerry Morehouse, many of whom are now active researchers in social and cognitive psychology. She has secured major grants through the Mind, Brain, and Behavior Initiative and has led interdisciplinary teams exploring bias in education, law, and technology. She is also the co-creator of OutsmartingHumanMinds.org , a public education platform on implicit bias. Her lab serves as a hub for collaborative research on implicit social cognition, bringing together psychologists, neuroscientists, and computer scientists to understand and mitigate unconscious bias in human and artificial systems.

Jonathan P. Wongمشاهده پروفایل

استاد

• Military Strategy
• Military Acquisition and Procurement
• Military Budgets and Defense Spending
• +۱۳ مورد دیگر

Jonathan P. Wong is a Senior Policy Researcher at the RAND Corporation and Professor of Policy Analysis at the RAND School of Public Policy. His work bridges academic research and defense policy, focusing on military strategy, acquisition, force planning, and the integration of emerging technologies into military operations. Education: Ph.D. and M.Phil. in Policy Analysis (Pardee RAND Graduate School), M.A. in Security Studies (Georgetown University), B.A. in Political Science (UC San Diego) Professional Experience: U.S. Marine Corps infantry officer (2001–2011), Consultant at Boston Consulting Group, current RAND researcher and professor Wong’s research interests center on defense innovation, military logistics, artificial intelligence in warfare, space capabilities, and the human dimension of military operations. He has led studies on human-machine teaming, non-lethal weapons, defense acquisition reform, and U.S. military posture in the Indo-Pacific. His work emphasizes practical, policy-relevant insights grounded in operational experience. The trends in his recent publications reveal a deep engagement with modern defense challenges: integrating commercial technologies into military systems, improving acquisition agility, enhancing battlefield awareness, and ensuring that defense innovation serves warfighter needs. His research spans strategic, operational, and tactical levels, often focusing on the U.S. Army and Marine Corps. Wong has not received public recognition in the form of listed awards in the provided texts, but his leadership in congressionally mandated studies and high-impact policy research suggests significant influence in defense circles. Advising & Grants: Co-led major projects such as the Long Range Precision Fires study and research on integrating women into Marine Corps infantry. His work is frequently funded by the Department of Defense and other federal entities, though specific grant details are not listed. Wong is affiliated with RAND’s defense and national security research teams, contributing to strategic analysis and policy development. He is not associated with a formal lab but works within RAND’s collaborative research environment, often partnering with other veterans and defense experts to produce actionable insights for military leaders and policymakers.

Sergi Colominas Fusterمشاهده پروفایل

استاد

• Electrochemical Sensors
• Analytical Chemistry
• Bioanalysis
• +۷ مورد دیگر

Sergi Colominas Fuster, PhD , is a Full Professor and Coordinator of the Master’s Degree in Analytical Chemistry at the Department of Analytical and Applied Chemistry, IQS School of Engineering, Universitat Ramon Llull. He has been serving in this leadership role since 2021 and was promoted to Full Professor in 2025. His educational background includes a PhD in Chemistry (2006, URL), a Chemical Engineering degree (2001, IQS), and a Degree in Chemistry (1999, URL). Sergi's research is centered on the design, development, and characterization of electrochemical sensors , with a strong emphasis on applications in nuclear fusion technology and bioanalysis . His work focuses on sensors for molten metals and biosensors, particularly for detecting hydrogen and tritium in fusion reactors. He is an active member of the EQBA – Electrochemistry and Bioanalysis Group , which specializes in analytical, electrochemical, spectrometric, and optical techniques. His recent publications (2023–2025) highlight advancements in 3D-printed perovskite-based high-temperature electrochemical sensors for hydrogen monitoring in fusion environments. These works demonstrate innovation in fabrication techniques such as cold isostatic pressing and 3D printing, contributing to safer and more efficient fusion energy systems. Key research projects he is involved in include: EUTECTIC : Industrial production of Li-6 enriched lead-lithium eutectic for nuclear fusion. ECSINFUS : Development of electrochemical sensors for fusion applications. EUROFUSION : Implementation of fusion roadmap activities under Horizon Europe. He has secured research grants from competitive programs such as AGAUR and the European Commission, reflecting his leadership in fusion-related analytical chemistry. His work bridges materials science, electrochemistry, and energy technology. Sergi contributes to multiple academic programs, including the Master’s in Analytical Chemistry, Materials Science and Engineering, Pharmaceutical Chemistry, and the PhD in Chemistry and Chemical Engineering, indicating his broad academic engagement and mentorship.

Tobias Fiebigمشاهده پروفایل

استادیار

• Network Security
• Human Factors in Security
• Internet Measurement
• +۵ مورد دیگر

Dr.-Ing. Tobias Fiebig is a Senior Researcher at the Max Planck Institute for Informatics (Internet Architecture department) since April 2022. He previously served as a permanent Assistant Professor at TU Delft's Faculty of Technology, Policy and Management from 2017-2022. His work combines network measurement with human factors to improve security practices, focusing on email protocols, DNS infrastructure, and academic cloud migration. PhD in Computer Science from TU Berlin (2017) MSc in System and Network Engineering from University of Amsterdam (2013) BSc in Cognitive Science from University of Osnabrück (2012) His research spans Internet security (DNS, IPv6, email), academic freedom in cloud contexts, and human-centered security challenges. Recent work analyzes MTA-STS deployment, DNS sampling biases, and university cloud migration privacy implications. He has presented at top conferences including USENIX Security , IEEE Symposium on Security and Privacy , and ACM CCS . Teaching roles include lecturing Data Networks (2023-24) and On the Practice of System and Network Engineering (2024), with prior module management in cyber security analytics and sustainable system operations.

• Contract Law
• Corporate Law
• Mergers and Acquisitions
• +۵ مورد دیگر

Adam B. Badawi is a Professor of Law at the University of California, Berkeley - School of Law, where he maintains an active research agenda at the intersection of law, finance, and corporate governance. His scholarly work has established him as a leading expert in contract law, M&A transactions, securities litigation, and ESG compliance. Professor Badawi's research interests span multiple dimensions of corporate law and legal theory. His work on contractual complexity, particularly in debt agreements and M&A transactions, has provided significant insights into how legal drafting affects economic outcomes. He has extensively examined the business judgment rule, board authority, and the role of courts in corporate governance. More recently, his research has expanded into ESG-related topics, analyzing how environmental, social, and governance considerations intersect with traditional corporate law frameworks. His methodological approach often combines legal analysis with empirical techniques, including text analysis of legal documents and event studies of litigation outcomes. Professor Badawi's scholarly output demonstrates consistent high-impact research across multiple domains of corporate law. His early work focused on foundational aspects of contract theory and interpretation, while his more recent publications reflect growing interest in ESG metrics, executive compensation structures tied to sustainability goals, and the evolving regulatory landscape. The trajectory of his research shows a progression from theoretical legal analysis toward increasingly empirical and interdisciplinary approaches that bridge law with finance and data science. Professor Badawi has collaborated with numerous scholars across different institutions, including Duke University, Stanford Law School, and the University of Chicago Law School, reflecting the interdisciplinary nature of his work and its relevance to multiple academic communities.