جست‌وجوی استاد و پژوهشگر

• Computer Vision
• Computer Graphics
• Artificial Intelligence
• +۳ مورد دیگر

Alexei (Alyosha) Efros is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, where he holds the Howard Friesen Professorship and is a core member of the Berkeley Artificial Intelligence Research Lab (BAIR). Prior to joining UC Berkeley in 2013, he spent a decade as faculty at Carnegie Mellon University and maintained affiliations with École Normale Supérieure/INRIA and the University of Oxford. His educational background includes: PhD in Computer Science, University of California, Berkeley (2003) BS in Computer Science, University of Utah (1997) Efros's research fundamentally explores how machines can understand and recreate the visual world using vast unlabeled data, with pioneering contributions at the intersection of computer vision and computer graphics. He champions data-driven and self-supervised learning approaches, emphasizing slow science principles while advancing applications in computational photography, visual data mining, robotics, and interdisciplinary humanities projects. His work consistently bridges theoretical innovation with practical impact, as evidenced by his prolific publication record and industry collaborations. Analysis of his 2024-2025 publications reveals three dominant trajectories: 1) Generative model interpretability (CLIP analysis, diffusion model auditing), 2) 3D scene understanding through novel representations (Gaussian splatting, persistent state modeling), and 3) Self-supervised techniques for video and multiview consistency. These threads demonstrate his lab's strategic focus on making generative systems more controllable, interpretable, and spatially coherent while maintaining strong connections to human vision principles. His exceptional contributions have been recognized with: ACM Prize in Computing (2016) Five ICCV Helmholtz Test-of-Time Prizes (1999-2017) SIGGRAPH Significant New Researcher Award (2010) NSF CAREER Awards (2006, 2010) Multiple teaching honors including the Jim and Donna Gray Award (2023) As a dedicated mentor, Efros has advised 19 PhD students to completion (including current faculty at CMU, TTIC, and Stanford) and numerous MS/BS researchers, with his trainees consistently securing prestigious fellowships and industry positions. His research has been supported by sustained NSF funding, industry partnerships with Adobe and NVIDIA, and collaborative grants through BAIR's multi-institutional initiatives. The lab maintains active international collaborations with Oxford, École Normale Supérieure, and leading AI institutes worldwide. His research group operates within BAIR's collaborative ecosystem, featuring dedicated computational resources for vision and graphics research. The lab emphasizes interdisciplinary teamwork, regularly partnering with robotics and cognitive science researchers to explore human-AI visual interaction. Current projects focus on foundational challenges in visual representation learning, with increasing emphasis on ethical AI development and societal impact through initiatives like visual data attribution frameworks.

Xueyuan Michael Han-Vanbastelaerمشاهده پروفایل

استادیار

• Systems Security
• Privacy
• Data Provenance
• +۲ مورد دیگر

Xueyuan Michael Han-Vanbastelaer is an Assistant Professor in the Department of Computer Science at Wake Forest University , focusing on systems-level security and privacy research. His work integrates data provenance, machine learning, and distributed systems to develop robust security mechanisms. Ph.D. in Computer Science (2022) from Harvard University Master of Science in Computer Science (2022) from Harvard University B.Sc. in Computer Science (2015) from University of California, Los Angeles His research interests span systems security , privacy , data provenance , and graph analysis , where he develops operating system infrastructures, language-level frameworks, and algorithms to enhance system transparency and detect sophisticated attacks. His publications reveal a trend of advancing provenance-based security solutions, including intrusion detection systems like KAIROS and Unicorn, eBPF security frameworks like SafeBPF, and data deletion techniques like Splice. He has contributed to 15 major publications since 2016, with recent work (2024–2025) focusing on hardware-assisted kernel security and real-time provenance auditing. His teaching includes courses like CSC 111: Introduction to Computer Science and CSC 250: Computer Systems I , covering programming fundamentals, system architecture, and memory management.

Klaus Muellerمشاهده پروفایل

استاد

• Visual Analytics
• Explainable Machine Learning and AI
• Algorithmic Fairness and Transparency
• +۷ مورد دیگر

Klaus Mueller is a Professor in the Computer Science Department at Stony Brook University , with additional appointments in Biomedical Engineering and Radiology. He serves as Director of the Visual Analytics and Imaging (VAI) Lab, Liaison for the SUNY Korea CS Program, and Interim Chair of the Department of Technology and Society . His career spans roles at Brookhaven National Lab and leadership positions at SUNY Korea. Dr. Mueller earned his PhD in Computer and Information Science (1998), MS in Computer and Information Science (1996), and MS in Biomedical Engineering (1990) from The Ohio State University , alongside a BS in Electrical Engineering (1987) from the Polytechnic University of Ulm, Germany. His research focuses on visual analytics , explainable AI , algorithmic fairness , computational imaging , and medical imaging . He has pioneered GPU-accelerated CT reconstruction techniques, bias mitigation frameworks (e.g., D-BIAS), and tools like DOMINO for causal reasoning. His work bridges data science , human-computer interaction , and medical applications , often integrating large language models for visualization tasks. Recent publications highlight advances in multivariate volume rendering , LLM-driven bias detection , and mDDPM-based medical image synthesis . His articles span IEEE Transactions , Nature Machine Intelligence , and conferences like IEEE VIS and ACM CHI . Award highlights include NSF CAREER (2000), SUNY Chancellor Award (2011), IEEE Golden Core Award (2016, 2022), induction into the National Academy of Inventors (2018), and elevation to IEEE Fellow (2024). He has chaired major conferences and served as Editor-in-Chief of IEEE Transactions on Visualization and Computer Graphics (2019-2022). He teaches graduate and undergraduate courses in visualization , medical imaging , and GPGPU programming , and leads the Visual Analytics Seminar (CSE 648). His lab ( VAI Lab ) fosters interdisciplinary research in GPU-accelerated analytics and ethical AI.

Nicolas Berlandمشاهده پروفایل

استاد

• Management Control
• Organizational Management
• Strategic Processes
• +۵ مورد دیگر

Nicolas Berland serves as a Professor at Paris-Dauphine University, where he has established himself as a leading scholar in management control and organizational management. His office is located in room P416, with contact numbers 01 44 05 40 04 and 06 62 45 04 36. With a prolific academic career spanning several decades, Professor Berland has developed a distinctive research approach focused on the intersection of management control with strategic processes and organizational management. Professor Berland's research spans multiple dimensions of management control systems, with particular emphasis on their historical development, contemporary applications, and future trajectories. His work critically examines traditional budgeting practices, exploring alternatives such as management without budgets and the relationship between accounting systems and organizational behavior. A significant strand of his research addresses the application of management control in public sector organizations and its relationship to sustainable development initiatives. He has also investigated the evolving role of financial directors and the impact of artificial intelligence on management control systems. Analysis of Professor Berland's recent publications reveals a consistent focus on organizational complexity, the tensions between different control mechanisms, and the adaptation of management control to contemporary challenges including environmental sustainability, digital transformation, and financialization. His work demonstrates a sophisticated understanding of how accounting practices intersect with broader organizational phenomena, often employing historical and critical perspectives to challenge conventional wisdom in the field. The methodological diversity in his research portfolio, ranging from historical analysis to contemporary case studies, reflects his comprehensive approach to understanding management control in practice. Throughout his career, Professor Berland has contributed extensively to academic discourse through editorial roles, including serving on the editorial board of Comptabilité contrôle audit. His leadership in the academic community is further evidenced by his participation in numerous conferences and his contributions to major reference works in management control. As an educator, he has shaped the field through textbooks and teaching materials that have influenced generations of management control practitioners and scholars.

Jean-Paul TCHANKAMمشاهده پروفایل

استاد

• organizational performance
• strategic management
• entrepreneurship
• +۳ مورد دیگر

Jean-Paul TCHANKAM is a full-time professor at Kedge Business School Bordeaux specializing in strategy, sustainable development and entrepreneurship. He serves as the educational director of the Doctorate in Business Administration (DBA) at BEM-Dakar and Abidjan, extending his academic influence across multiple continents. His research primarily focuses on organizational performance, strategic management, and entrepreneurship , with particular attention to contexts in developing economies. Professor TCHANKAM has established himself as a leading scholar in social auditing and corporate responsibility, evidenced by his co-authorship of "The Encyclopedia of Social Auditing and Corporate Responsibility" (EMS Paris 2012) and other significant publications including "Reinventing Leadership" (2017), "Learning for Performance" (2018), and "Africa Positive Impact" (2020). His recent scholarly output demonstrates a diverse research portfolio spanning organizational behavior, entrepreneurship, financial economics, and sustainable development. His work frequently examines business contexts in Africa, particularly Cameroon, with numerous publications analyzing SMEs, gender dynamics in entrepreneurship, and the impact of digital technologies on business practices in developing economies. Laureate of the National Academy of Sciences, Belles-Lettres, and Arts of Bordeaux Associate member of CEPN-CNRS-Paris Member of the Scientific Council of the Academy of Management Sciences of Paris (ASMP) Member of the Scientific and Evaluation Committee of the journal "Questions de Management" Co-president of the International Institute of Social Auditing for Sub-Saharan Africa Professor TCHANKAM has supervised numerous doctoral students through the DBA program at BEM-Dakar and Abidjan, fostering academic and professional development across Francophone Africa. His leadership in social auditing initiatives demonstrates a commitment to practical applications of academic research for societal benefit.

• Artificial Intelligence in Medicine
• Privacy-Preserving AI
• Biomedical Informatics
• +۴ مورد دیگر

Rui Zhu is a Postdoctoral Associate in Biomedical Informatics and Data Science at Yale University School of Medicine. Their work bridges artificial intelligence, privacy-preserving technologies, and biomedical applications, focusing on secure and ethical AI systems for healthcare. Education: PhD in Computer Science (2024) and MS in Statistics (2019) from Indiana University Bloomington; BA in Mathematics (2015) from the University of Utah. Zhu's research explores privacy risks in large language models, federated learning security, and explainable AI for drug recommendation. They investigate adversarial attacks, backdoor suppression, and fairness enhancement in AI systems, particularly under resource constraints. Their recent publications highlight expertise in AI-driven diagnostics (e.g., Alzheimer's detection via voice analysis), financial risk modeling, and differential privacy. Key themes include membership inference, neural network robustness, and ethical deployment of AI in healthcare. Zhu is affiliated with Yale's Biomedical Informatics & Data Science department, mentored by Prof. Lucila Ohno-Machado, and previously worked with Prof. Haixu Tang at Indiana University. Their work emphasizes collaboration between computer science and biomedical domains.

Kerry Ingerمشاهده پروفایل

استاد

• Financial Accounting
• Corporate Taxation
• Sustainability Accounting
• +۳ مورد دیگر

Kerry Inger serves as a Professor in the Department of Accountancy at Auburn University's Harbert College of Business, where she teaches accounting and tax courses both domestically and internationally (including at the University of Regensburg in Germany). Her academic credentials include a PhD in Philosophy, Business from Virginia Polytechnic Institute and State University (2012), complemented by master's and bachelor's degrees in Accountancy and Accounting from the University of Florida (2003). Her educational qualifications are: PhD in Philosophy, Business from Virginia Polytechnic Institute and State University (2012) MA in Accountancy—Tax from the University of Florida (2003) BS in Accounting from the University of Florida (2003) Dr. Inger's research centers on the critical intersection of financial accounting and corporate taxation, with expanding focus on sustainability accounting and AI applications. She examines tax avoidance behaviors within corporate social responsibility frameworks, stakeholder perceptions of tax transparency, and the transformative impact of artificial intelligence on tax preparation services and accounting education. Her work bridges theoretical accounting principles with practical tax policy implications, addressing contemporary challenges in regulatory compliance and technological disruption. Analysis of her recent publications (2022-2025) reveals a pronounced shift toward artificial intelligence's role in tax services and accounting education, while maintaining strong engagement with tax transparency, avoidance behaviors, and sustainability reporting. Her work appears consistently in premier journals including The Accounting Review and The Journal of the American Taxation Association , with significant media attention from the Wall Street Journal , CFO Magazine , Bloomberg , and Politico . Her teaching excellence has been recognized through: Auburn University's Gerald and Emily Leischuck Endowed Presidential Award for Excellence in Teaching Alumni Undergraduate Teaching Excellence Award Harbert College's Lowder and McCartney teaching awards Dr. Inger has developed innovative tax research cases and educational materials, including an annotated bibliography of tax cases. While specific grant details aren't provided, her extensive publication record spanning tax policy, AI applications, and sustainability accounting indicates active research funding and scholarly engagement. Her international teaching experience in Germany further demonstrates global academic contributions.

• Cybersecurity
• Artificial Intelligence Security
• Blockchain Technologies
• +۴ مورد دیگر

Peter Kieseberg is a Lecturer and Senior Researcher at the St. Pölten University of Applied Sciences , affiliated with the Institute for IT Security Research and Department of Computer Science and Security . He has held his lecturer position since November 2017 and contributes to research in Cybersecurity , Artificial Intelligence , and Blockchain Technologies . His research spans AI Security , Cyber Resilience , Data Privacy , and Explainable AI . He has co-authored numerous publications on topics such as Secure Drone Integration , AI Procurement Guidelines , and Blockchain-based Auditing . His work often bridges technical and legal domains, emphasizing Ethics and Transparency . Key Trends: Recent articles focus on Cyber Resilience Fundamentals , Controllable AI , and Risk Factors in AI Applications . Projects: Active in initiatives like A3 (AI Act for Austria) , Dataskop , and Josef Ressel Center for Blockchain Technologies . Education: Studied Technical Mathematics in Computer Science at TU Wien (2001–2007).

• Artificial Intelligence
• Distributed Computing
• Financial Computing
• +۶ مورد دیگر

Prof Philip Treleaven is Professor of Computer Science at the Department of Computer Science, University College London since 1986. He holds a PhD from the University of Manchester and has significantly contributed to Artificial Intelligence Financial Computing Blockchain Technologies Human-Centered Computing . His recent publications focus on Ethical AI applications Token economy modeling Algorithm auditing Language model bias mitigation Financial market dynamics Explainable AI systems . These works demonstrate interdisciplinary research spanning computer science, finance, and policy domains.

Neil Gongمشاهده پروفایل

دانشیار

• Cybersecurity
• Trustworthy AI
• Adversarial Machine Learning
• +۳ مورد دیگر

Neil Gong is an Associate Professor at Duke University's Pratt School of Engineering , holding primary and secondary appointments in Electrical and Computer Engineering and Computer Science respectively. His work bridges cybersecurity and trustworthy AI , with a focus on adversarial machine learning and secure systems. Education: Ph.D. in Computer Science (UC Berkeley, 2015), B.E. (USTC, 2010) Research emphasizes AI security , including prompt injection attacks , federated learning safety , and watermark robustness in generative models. Recent publications analyze vulnerabilities in LLM agents, multi-modal systems, and graph-based security mechanisms. His 2023-2025 publications reveal trends in LLM attack/defense (jailbreaking, watermarking), federated learning security (poisoning, Byzantine robustness), and privacy analytics (membership inference, data auditing). Notable Awards: NSF CAREER, Army Research Office YIP, IBM Faculty Award, Facebook Research Award Teaching includes courses on machine learning in adversarial settings and advanced topics in ECE . Actively recruiting postdocs and graduate students for cybersecurity research.

Michael Reiterمشاهده پروفایل

استاد

• Computer Security
• Network Security
• Cryptography
• +۴ مورد دیگر

Michael Reiter is the James B. Duke Distinguished Professor in the Departments of Computer Science and Electrical & Computer Engineering at Duke University's Pratt School of Engineering. With a career spanning over three decades, he has established himself as a leading authority in computer security, distributed systems, and cryptography. His academic journey includes significant positions at Carnegie Mellon University, where he served as founding Technical Director of CyLab, and the University of North Carolina at Chapel Hill. Ph.D. from Cornell University, 1993 James B. Duke Distinguished Professor, Duke University Former Professor at Carnegie Mellon University Former Distinguished Professor at UNC Chapel Hill Former Director of Secure Systems Research at Bell Labs Professor Reiter's research spans the critical intersection of security, cryptography, and distributed computing. His work addresses fundamental challenges in computer and network security, with particular focus on Byzantine fault-tolerant systems, privacy-preserving protocols, and applied cryptography. His recent research has expanded into machine learning security, blockchain technologies, and the security implications of emerging network infrastructures like 5G. Reiter's approach combines theoretical rigor with practical implementation, resulting in systems that have influenced both academic research and industry practice. Analysis of Reiter's recent publications reveals a strong trend toward addressing security challenges in modern computing environments. His work bridges traditional security domains with emerging technologies, particularly focusing on the security implications of machine learning systems, blockchain applications, and next-generation network architectures. The breadth of his research demonstrates how foundational security principles can be adapted to address novel threats in increasingly complex computing ecosystems. Test of Time Award, ACM Conference on Data and Application Security and Privacy (2024) Lasting Research Award, ACM Conference on Data and Application Security and Privacy (2024) Test of Time Award, ACM Conference on Computer and Communications Security (2022, 2019) Outstanding Contributions Award, ACM SIGSAC (2016) Fellow, IEEE (2014) Fellow, ACM (2008) Throughout his career, Reiter has mentored numerous students and collaborated extensively with researchers across academia and industry. His work has been supported by significant research grants from NSF, DARPA, and other funding agencies, focusing on foundational security mechanisms and their application to real-world systems. He has taught courses ranging from introductory security to advanced cryptography and distributed systems. Reiter maintains an active research group at Duke that explores cutting-edge security challenges. His team works at the intersection of theory and practice, developing both novel security mechanisms and practical implementations that address real-world vulnerabilities. Current projects focus on securing machine learning systems, enhancing blockchain security through trusted execution environments, and developing privacy-preserving protocols for distributed applications.

Juan A. Recio Garcíaمشاهده پروفایل

دانشیار

• Case-Based Reasoning (CBR)
• Explainable Artificial Intelligence (XAI)
• Recommender Systems
• +۳ مورد دیگر

Dr. Juan A. Recio García is an Associate Professor at the Department of Software Engineering and Artificial Intelligence within the School of Computer Science at Complutense University of Madrid (UCM) . He holds the BOSCH-UCM Honorary Chair on Artificial Intelligence applied to Internet of Things . His research focuses on Case-Based Reasoning (CBR) , Explainable AI (XAI) , and Recommender Systems , with applications in healthcare, security, and urban planning. He has led two projects as Principal Investigator and participated in six R&D initiatives, including four national and two European grants. His work includes the development of the COLIBRI platform , a CBR system with over 35,000 downloads. He has co-authored 67 publications, including 16 JCR-indexed articles, and received a best paper award and an honourable mention from the International Conference on CBR (ICCBR). Scientific Awards: Best Paper Award ICCBR Honorable Mention His projects include AUDITIA-X (Auditing AI via Explainability), iSee (Personalized Explanation Experiences), and PERXAI (Personalized XAI). He collaborates internationally, including at Robert Gordon University (UK) and University College Cork (Ireland).

Ulrich Kühneمشاهده پروفایل

مدرس

• Embedded Systems Security
• Formal Methods in Security
• Hardware and Software Attacks
• +۳ مورد دیگر

Ulrich Kühne is a Lecturer at Télécom Paris , affiliated with the Secure and Safe Hardware (SSH) team and the Information Processing and Communication Laboratory (LTCI) . His research focuses on embedded systems security and formal methods for security guarantees. Research Interests: Embedded systems security, formal verification of protection schemes, and mitigation of hardware/software attacks. Publications: His work spans moving target defense for connected cars, side-channel attack mitigation in neural networks, and hardware-assisted security mechanisms. Labs & Teams: Active in LTCI and SSH, focusing on hardware-software co-design for security.

Floris Boogaardمشاهده پروفایل

مدرس

• Climate Adaptation
• Sustainable Drainage Systems (SuDS)
• Water Quality
• +۴ مورد دیگر

Floris Boogaard is a Lecturer at the Research Center for Built Environment – NoorderRuimte , specializing in Climate Adaptation . His work focuses on sustainable urban design, water quality, and nature-based solutions for climate resilience. Research Interests include: Climate adaptation strategies for urban areas Sustainable Drainage Systems (SuDS) Nature-based Solutions Water quality monitoring and modeling Permeable pavement systems Recent Research Trends reveal a strong emphasis on combating drought in cities, floating solar technology, and biodiversity impacts on climate adaptation. His publications span environmental science, urban planning, and hydrology. Scientific Awards : 3e Prijs RAAK-Award 2022 Projects include Last Thirsty Cities , GINA , Climate Adaptation Monitor , and SPARKLES , focusing on water-sensitive urban development and renewable energy integration.

Tina Sosaمشاهده پروفایل

استادیار

• Pediatric Inpatient Care
• Quality Improvement
• Patient Safety
• +۳ مورد دیگر

Tina Sosa, M.D., M.Sc., is an Assistant Professor in the Department of Pediatrics at the University of Rochester Medical Center. As a pediatric hospitalist, she specializes in family-centered care for children with general pediatric conditions and leads quality improvement initiatives focused on safety, equity, and value in pediatric inpatient settings. MD, University of Rochester (2014) MS, University of Cincinnati Medical Center (2021) Residency in General Pediatrics, Cincinnati Children's Hospital Medical Center (2014-2017) Fellowship in Pediatric Hospital Medicine, Cincinnati Children's Hospital Medical Center (2018-2021) Her research focuses on system-level innovations to enhance pediatric inpatient care quality, particularly through situation awareness tools for clinical deterioration detection and high-risk therapy monitoring . She leads studies on medical device complications in medically complex children and contributes to multi-center safety collaboratives like the Children’s Hospitals’ Solutions for Patient Safety network. The 15 most recent publications demonstrate consistent engagement with pediatric safety and quality improvement through empirical studies, methodological frameworks, and clinical implementation projects. Key areas include sedation reduction for gastrojejunostomy exchanges, staff safety initiatives, clinical deterioration prediction, and healthcare delivery optimization. Scientific awards include: Academic Pediatric Association Young Investigator Award Dr. Sosa collaborates with multidisciplinary teams across research, clinical practice, and patient safety domains. Her work integrates improvement science with direct patient care, emphasizing equitable outcomes and system-wide healthcare standardization.