جستجوی استاد راهنمای دانشگاهی

• Graph Theory
• Combinatorial Optimization
• Operations Research
• +۴ مورد دیگر

Cristina Bazgan is a University Professor at Université Paris-Dauphine, affiliated with LAMSADE (Laboratoire d'Analyse et Modélisation de Systèmes pour l'Aide à la Décision) within PSL University. Her office is located at P 409 with contact number 01 44 05 40 90. She maintains an active research profile with numerous publications spanning graph theory, combinatorial optimization, and multi-objective optimization. Professor Bazgan's research primarily focuses on graph theory and combinatorial optimization , with significant contributions to domination theory, network analysis, approximation algorithms, and multi-objective optimization. Her work bridges theoretical computer science and operations research, addressing fundamental problems in computational complexity while developing practical algorithmic solutions. She has made notable contributions to understanding graph partitions, community detection in networks, and the complexity of various optimization problems. Analysis of her recent publications reveals a strong trend in multi-objective optimization and parameterized complexity . Her work often explores the interface between theoretical computer science and operations research, with applications to network analysis and decision support systems. A significant portion of her research addresses the complexity and approximability of graph-theoretic problems, particularly those related to domination, community structure, and anonymization in networks. Professor Bazgan has co-authored the book Combinatorial Algorithms (2022) with H. Fernau and contributed chapters to authoritative works on combinatorial optimization. While specific scientific awards aren't mentioned in the available information, her extensive publication record in top-tier journals demonstrates significant recognition in her field. She maintains an active collaboration network, frequently working with researchers such as Vanderpooten D., Tuza Z., Chlebíková J., and Herzel A. Her research has practical applications in network security, social network analysis, and decision support systems. The LAMSADE laboratory, where she is based, focuses on decision support systems and operations research, providing an interdisciplinary environment for her theoretical and applied work.

Theresa Zügerمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Public Interest AI
• Sustainability
• +۵ مورد دیگر

Dr. Theresa Züger is an interdisciplinary researcher leading the AI & Society Lab at the Alexander von Humboldt Institute for Internet and Society (HIIG). She investigates how AI systems can be designed to serve the common good, focusing on initiatives that promote sustainability, strengthen social inclusion, and enable technology reuse through open systems. Her work addresses societal challenges associated with artificial intelligence at political, social, and cultural levels, contributing to accurate assessment of AI's societal implications. Züger received her Ph.D. in Media Studies from Humboldt University in Berlin in 2017 with her dissertation 'Reload Disobedience,' focusing on digital forms of civil disobedience. Previously, she earned an M.A. in Theatre, Film and Television Studies as well as German and Philosophy from the University of Cologne. She also headed the office responsible for the German government's Third Engagement Report on behalf of the Federal Ministry for Family Affairs, Senior Citizens, Women and Youth (BMFSFJ). Her research centers on Public Interest AI, examining how AI development and deployment can benefit society rather than primarily maximizing profit. Current projects include 'Impact AI' (funded by Volkswagen Foundation), which develops auditing methods to assess AI projects' impact on public interest and sustainability, and 'Human in the Loop,' investigating how automated decision-making processes should be designed for successful human-machine interaction. She previously led the 'Public Interest AI' project, developing a theoretically grounded understanding of public interest AI and creating prototypes like a web accessibility tool and fact-checking application. Analysis of her recent publications reveals a consistent focus on bridging AI technology with societal values. Her work spans technical aspects of AI implementation, ethical considerations, and practical applications that serve public interests. Key trends include human-AI collaboration frameworks, accessibility enhancements, critical examination of AI hype, and theoretical foundations for public interest-oriented AI development. Züger serves as Vice-Chair of the UNESCO Commission on Communication and Information and participates in several juries including the Deep Tech Award, Digital Places – Land of Ideas, and the Civic Innovation Fund. She is also a regular event moderator for organizations like the Berlin-Brandenburg Media Authority, re:publica, and transmediale. As project leader of Impact AI and head of the AI & Society Lab, Züger directs significant research initiatives with funding from organizations like the Volkswagen Foundation. Her work involves extensive collaboration with academic and practical partners across Europe and globally, particularly through projects addressing women in tech and international AI governance. The AI & Society Lab functions as an interdisciplinary interface for new research approaches and knowledge transfer in AI, promoting inclusive, human rights-friendly, and sustainable AI strategies in Europe.

Yuhong Nanمشاهده پروفایل

دانشیار

• Software Security
• Privacy Leakage Analysis
• IoT Security
• +۳ مورد دیگر

Yuhong Nan is an Associate Professor in the School of Software Engineering at Sun Yat-sen University, China, specializing in software security and privacy leakage analysis for emerging platforms including IoT, mobile systems, and blockchain. Previously a Post-doctoral Research Associate at Purdue University under Prof. Dongyan Xu, she builds practical security tools to detect and mitigate vulnerabilities in real-world systems. Dr. Nan earned her PhD from Fudan University in 2018 supervised by Prof. Min Yang. Her academic journey spans rigorous research in security engineering with emphasis on empirical validation and tool development for complex platform ecosystems. Her research program focuses on uncovering systemic security flaws through innovative analysis techniques. Key contributions include vulnerability detection in smart contracts (e.g., state dependencies, reentrancy), privacy leakage analysis in mobile/IoT ecosystems, and countermeasures against deceptive UI patterns. She employs hybrid approaches combining static/dynamic analysis, machine learning, and large-scale empirical studies to develop deployable security solutions. Analysis of her 15 most recent publications (2023-2025) reveals dominant themes in blockchain security (60%), particularly smart contract/DApp vulnerabilities, with significant work in mobile privacy (30%) and cross-platform threats (10%). Her methodology consistently leverages fine-grained static analysis, semantic enrichment, and feedback-driven fuzzing, yielding tools like SmartAxe and Midas that have influenced industry practices. Dr. Nan actively mentors graduate researchers with 17 advisees including Tencent-employed graduates, and serves as a trusted reviewer for premier journals (IEEE TDSC, TMC, TOPS) and conference committees (ASIACCS, ICICS). Her leadership in security communities bridges academic research with practical defense mechanisms. At Sun Yat-sen University, she directs a high-output research group that collaborates with industry partners to address evolving threats in decentralized systems, maintaining her position among top publishing authors in USENIX Security, CCS, and NDSS venues through rigorous technical innovation.

Denzil Fiebigمشاهده پروفایل

استاد

• Econometrics
• Health Economics
• Applied Microeconomics

Denzil Fiebig is Professor in the School of Economics at UNSW Business School since 2001, with prior appointments including chair positions in econometrics at the University of Sydney. His international engagements include visiting roles at the University of Florida, University of Southern California, Tilburg University, Victoria University of Wellington, University of York, and Erasmus University. His research focuses on econometric methodology and applied health economics, particularly healthcare utilization and policy analysis. Recent publications demonstrate methodological innovation in analyzing healthcare systems, insurance markets, and economic behavior during health shocks. His work employs advanced econometric techniques including panel data models and discrete choice experiments to study physician behavior, health financing, and socioeconomic disparities in healthcare access.

GOH Khim Yongمشاهده پروفایل

دانشیار

• Digital Media Marketing
• Social and Mobile Media Platforms
• Digital Platform Ecosystems
• +۳ مورد دیگر

Dr. GOH Khim Yong is an Associate Professor and Head of the Department of Information Systems and Analytics at the National University of Singapore (NUS School of Computing). He holds a Ph.D. in Business Administration (University of Chicago), M.Sc. and B.Sc. in Computer & Information Sciences (NUS). His research focuses on digital media marketing, social/mobile platforms, AI pricing strategies, and econometric methods. He advises major firms like Alibaba, Lazada, and Johnson & Johnson across industries such as e-commerce, healthcare, and retailing. Educations: Ph.D., Business Administration, University of Chicago (2005) M.Sc., Computer & Information Sciences, NUS (1998) B.Sc., Computer & Information Sciences, NUS (1997, First-Class Honours) His research explores digital transformation, AI-driven pricing, live-streaming commerce, and consumer behavior in platform ecosystems. Notable projects include studying AI pricing agents' impact on e-commerce sales and analyzing live-streaming dynamics' socio-economic effects. He has published in top journals like Management Science and Information Systems Research , and his work frequently addresses practical industry challenges. Recipient of prestigious awards including the International Conference on Information Systems Best Paper Award (2022) and AIS Distinguished Member (2021). He teaches courses in econometrics and data analytics across NUS and the University of Chicago. His former Ph.D. students hold faculty positions at institutions like Tsinghua University and the Chinese University of Hong Kong (Shenzhen).

Guannan Liuمشاهده پروفایل

استادیار

• Cybersecurity
• Network Security
• System Security
• +۴ مورد دیگر

Guannan Liu is an Assistant Professor of Computer Science at the Colorado School of Mines, specializing in cybersecurity and network security. He holds a Ph.D. in Computer Engineering from Virginia Tech (2023) and a BS from Purdue University (2016). His research focuses on system/network security, human-factor security, cloud computing security, and user authentication mechanisms. He has identified critical vulnerabilities in online services, collaborating with major tech firms to address resource mismanagement issues. Dr. Liu's work has been published in top-tier security conferences. He actively seeks motivated students for cybersecurity research projects. His honors include a Student Travel Grant for DSN 2022 and academic recognition through Dean’s List distinctions. His research bridges theoretical insights with practical impact, particularly in identifying real-world system vulnerabilities through comprehensive measurements. Key areas of exploration include container registry typosquatting, cloud gaming service misuse, DNS query analysis, and acoustic side-channel attacks on IoT devices. His interdisciplinary work integrates software engineering, artificial intelligence, and network measurement techniques to enhance security across diverse systems.

• Electrical Engineering
• Computer Science
• Information Technology
• +۳ مورد دیگر

Bernhard Rinner is a Professor at the Institute of Networked and Embedded Systems within the Faculty of Technical Sciences at Alpen-Adria-Universität Klagenfurt. He is a member of the university Senate and serves as Prodekan (Deputy Dean). His research spans robotics, embedded systems, sensor networks, and privacy-aware computing , with a focus on resource-efficient designs for drones, autonomous systems, and IoT applications. Email: Bernhard.Rinner@aau.at Phone: +43 463 2700 3671 Office: B02.1.62, Lakesidepark Haus B02, Klagenfurt, Austria Research Interests include: Self-aware autonomous systems for adaptive mission planning and anomaly detection Resource-efficient embedded AI for drones and camera networks Secure IoT applications with privacy-preserving visual data processing Multi-agent coordination in confined environments and 3D navigation Dynamic sensor calibration for low-cost wireless networks Publications reflect trends in drone networks, self-aware computing, and privacy-aware sensing , emphasizing lightweight architectures, distributed coordination, and energy-efficient designs. Many recent works focus on binary neural networks, decentralized re-identification, and adaptive sensor reconfiguration .

Eugene Bagdasarianمشاهده پروفایل

استادیار

• Artificial Intelligence Security
• Privacy-Preserving Technologies
• Federated Learning
• +۴ مورد دیگر

Eugene Bagdasarian is an Assistant Professor in the Department of Computer Science at the University of Massachusetts Amherst. His research focuses on security and privacy in AI systems, particularly adversarial machine learning, federated learning vulnerabilities, and contextual integrity frameworks. He holds a PhD from Cornell Tech and a prior engineering degree from Bauman University, with industry experience at Cisco as a software engineer. Research interests include backdoor attacks in federated learning (developing frameworks like Backdoors101 and Mithridates), privacy-preserving technologies such as AirGapAgent and Ancile, and mitigating vulnerabilities in multi-modal systems. His work has addressed instruction injections, adversarial illusions, and bias in generative models, with coverage in media like The Economist and VentureBeat. Notable achievements include the Usenix Security Distinguished Paper Award, Apple Scholars in AI/ML Fellowship, and Digital Life Initiative Fellowship. His contributions span technical domains like differential privacy, secure aggregation, and policy-based federated learning frameworks. Advising and grants: No specific advising/grants listed. However, his research collaborations include developing systems like Ancile (use-based privacy enforcement) and Mithridates (backdoor auditing). Current work trends focus on advancing security in LLM agents, dynamic network firewalls, and ethical AI governance.

Xuan Zhangمشاهده پروفایل

دانشیار

• Artificial Intelligence Hardware
• Machine Vision Sensors
• Electronic Design Automation
• +۳ مورد دیگر

Xuan Zhang serves as Associate Professor in Electrical and Computer Engineering at Northeastern University, leading the Sensory AI Lab since joining in January 2024. Her research bridges computer architecture, integrated circuits, and artificial intelligence to develop miniaturized AI systems for autonomous physical platforms. She earned her PhD in Electrical and Computer Engineering from Cornell University in 2012. Her educational background forms the foundation for her interdisciplinary work spanning hardware and software co-design. Dr. Zhang's research focuses on artificial intelligence hardware, machine vision sensors, and security for autonomous systems. She pioneers techniques for efficient in-sensor computing, analog circuit optimization via machine learning, and hardware-level privacy preservation. Her work addresses critical challenges in energy efficiency, robustness, and security for edge AI deployment, particularly in resource-constrained environments like medical devices and autonomous vehicles. Analysis of her 2023-2025 publications reveals three dominant trends: (1) hardware-accelerated privacy mechanisms for sensors, (2) machine learning-driven analog circuit design automation, and (3) energy-efficient architectures for neural network inference. These works consistently target real-world applications in healthcare, autonomous systems, and semiconductor design. Her accolades include the prestigious NSF CAREER Award (2020) and leadership in a $10 million federal semiconductor initiative. She contributes to national efforts in AI-powered chip design through the National Center for the Advancement of Semiconductor Technology. Dr. Zhang advises graduate researchers in the Sensory AI Lab, securing significant funding for projects spanning hardware security, in-sensor computing, and autonomous system assurance. Her lab collaborates with federal agencies and industry partners on cutting-edge semiconductor research. The Sensory AI Lab operates at the hardware-software interface, developing novel architectures for intelligent edge devices. Current projects include optical privacy preservation, robust analog design tools, and energy modeling frameworks for in-sensor visual computing systems.

Uchenna Daniel Aniمشاهده پروفایل

مدرس

• Cyber Security
• Industrial Control Systems (ICS)
• Internet of Things (IoT)
• +۶ مورد دیگر

Dr. Uchenna Daniel Ani is a Lecturer in Cyber Security at the School of Computer Science and Mathematics, Keele University. He leads the MSc Cyber Security programme and chairs the School Taught Programme Ethics Committee. Previously, he was a Senior Research Fellow at the PETRAS National Centre of Excellence for IoT Systems Cybersecurity at University College London (UCL), focusing on cybersecurity in critical infrastructure systems. Dr. Ani holds a PhD in Industrial Control System Cybersecurity from Cranfield University, UK, and degrees from the University of Bedfordshire. His research emphasizes socio-technical security analysis, cybersecurity risk assessment, and the intersection of technical solutions with human and policy factors. Key projects include 'Analytical Lenses for Internet of Things Threats' and 'Modelling for Socio-Technical Security,' collaborating with transport and water infrastructure organizations. His research interests span ICS/IoT Cybersecurity, security modelling/simulations, human-factor security, and digital forensics. He actively contributes to cybersecurity policy and standards development, advising on IoT-enabled infrastructure resilience. Dr. Ani is a Fellow of the Higher Education Academy and member of IET/ACM. Teaching includes modules on Human Factors of Cyber Security, Cryptography, and Cloud Computing. He advocates STEM education through mentoring and public engagement, including roles as a STEM Ambassador and IET Young Professional Ambassador.

Athanasios Andreouمشاهده پروفایل

پژوهشگر

• AI Ethics
• Cybersecurity
• Data Privacy
• +۳ مورد دیگر

Athanasios (Thanos) Andreou is a Postdoctoral Researcher at the NYU Tandon School of Engineering under Damon McCoy's team. He holds a PhD from Sorbonne Université (conducted at EURECOM), supervised by Patrick Loiseau and Oana Goga, and a Diploma (5-year) in Electrical and Computer Engineering from NTUA. His research focuses on AI ethics, cybersecurity, privacy, and e-crime, with a particular emphasis on auditing social media advertising ecosystems and transparency mechanisms. His academic journey includes a MSc in Communications & Computer Security from EURECOM. Key research interests span internet measurements, transparency in digital advertising, and mitigating privacy risks in social platforms. Notable contributions include developing the Facebook Ads Monitor tool and investigating privacy vulnerabilities in data brokers' interfaces. Publications: Over a decade of work, his publications address critical issues such as ad transparency limitations, privacy risks in Facebook targeting, and identity disclosure risks in multi-profile user scenarios. Awards: Winner of the 2020 CNIL-Inria Award, runner-up for the Caspar Bowden PET Award, and recipient of best paper runner-up at ASONAM 2017. His work bridges social media analysis with practical tools like AdAnalyst, aiming to enhance user awareness of targeted advertising practices. Current affiliations include NYU Tandon, with prior involvement at EURECOM and Sorbonne Université.

Florent Thouveninمشاهده پروفایل

استاد

• Information and Communications Law
• Intellectual Property Law
• Internet Law
• +۸ مورد دیگر

Prof. Dr. Florent Thouvenin holds the Chair for Information and Communications Law at the University of Zurich's Faculty of Law. He specializes in legal aspects of digital technologies, including Intellectual Property, Internet Law, AI regulation, and Data Protection. His academic work addresses challenges posed by emerging technologies to existing legal frameworks, with a focus on Swiss and EU law. Affiliations: Center for Information Technology, Society, and Law (ITSL); Swiss Forum for Communications Law (SF-FS) Courses Taught: Internet Law, Artificial Intelligence: Technology and Law, Intellectual Property Law, License Agreement Antitrust Law Winter School: Co-organizes an annual cross-continental program 'Law and Technology – a cross-continental perspective' with the University of New South Wales, Sydney. Research Interests: Regulatory challenges of AI, digital privacy, technology governance, cybersecurity, and innovation policy. His work bridges legal theory and practical implementation, emphasizing interdisciplinary collaboration between law, computer science, and ethics.

Luca Tosoniمشاهده پروفایل

پژوهشگر ارشد

• Cybercrime
• Cybersecurity
• Data Protection
• +۳ مورد دیگر

Luca Tosoni is a Doctoral Research Fellow in Cybercrime and Cybersecurity Law at the Norwegian Research Center for Computers and Law (NRCCL), Department of Private Law, University of Oslo. His academic background includes a combined J.D./LL.M. (magna cum laude) from the University of Milan, specializing in EU and International Law, a Diplôme d'Université in Common Law and Comparative Law from Paris Descartes University, and the China Intellectual Property Summer Institute (CHIPSI) Certificate from Tsinghua University. Before his doctoral studies, Tosoni practiced law at Covington & Burling LLP in Brussels, advising multinational companies on cybersecurity, data protection, and life sciences regulations. He also served as counsel in EU Courts and as an Assistant Policy Officer at the Fair Trade Advocacy Office. His research interests focus on Cybercrime, Cybersecurity, Data Protection, Internet Governance, and Life Sciences. His publications include extensive commentary on GDPR provisions, such as interpretations of key definitions and cooperation mechanisms between supervisory authorities. He has co-authored analyses on topics like automated decision-making rights under Article 22 and the legal implications of pseudonymisation. Awards: China Intellectual Property Summer Institute (CHIPSI) Certificate Tosoni’s work bridges legal frameworks and technological challenges, contributing to EU regulatory compliance and privacy standards in digital environments.

Ninghui Liمشاهده پروفایل

استاد

• Information Security
• Data Privacy
• Cybersecurity
• +۴ مورد دیگر

Ninghui Li is the Samuel D. Conte Professor and Associate Department Head in the Department of Computer Science at Purdue University. He holds a B.S. from the University of Science and Technology of China and a Ph.D. from New York University. His research focuses on information security, privacy, and database systems, with notable contributions to differential privacy and secure data publishing. He has authored over 200 papers, including influential works like the 2007 t-Closeness paper, and has received multiple awards, including being named an ACM and IEEE Fellow. Li’s academic roles include Editor-in-Chief of ACM Transactions on Privacy and Security (TOPS) and leadership in organizations like ACM SIGSAC. He advises over 30 graduate students and has been instrumental in coaching Purdue’s ICPC teams to top global rankings. His current projects include NSF-funded initiatives like the Center for Distributed Confidential Computing (CDCC) and privacy-focused AI research. Key contributions span privacy-preserving data synthesis, federated learning security, and cybersecurity for IoT systems. He actively contributes to conferences as a program chair and through editorial roles, ensuring advancements in both theoretical and applied security domains.

Alicia Solow-Niedermanمشاهده پروفایل

دانشیار

• Regulation of Emerging Technologies
• Algorithmic Accountability
• Data Governance
• +۳ مورد دیگر

Alicia Solow-Niederman is an Associate Professor of Law at the George Washington University Law School and a Faculty Associate at Harvard’s Berkman Klein Center for Internet & Society. She holds visiting fellow roles at Yale Law School’s Information Society Project and serves on the Electronic Privacy Information Center (EPIC) Advisory Board. Her work bridges technology, law, and societal impact, focusing on regulating emerging technologies like AI through the lens of algorithmic accountability, data governance, and privacy. Research & Expertise: Professor Solow-Niederman’s research examines how legal frameworks must adapt to digital technologies, particularly in addressing power dynamics and ethical challenges. She explores topics such as AI governance, information privacy, and the intersection of legislation with rapidly evolving technologies. Her award-winning work on data breaches highlights her commitment to practical legal solutions for tech-driven issues. Publications & Engagement: Her scholarship has appeared in leading law reviews including the Harvard Journal on Law & Technology and the Northwestern University Law Review. She collaborates with the Media Freedom and Information Access Clinic on FOIA requests related to state AI use. Teaching focuses include AI law, information privacy, and technology regulation. Awards & Recognition: 2017 Yale Law Journal Student Essay Competition Winner Professional Activities: Advises on tech policy through EPIC and Yale affiliations. Engages in public discourse via platforms like the UCLA Law Review and Berkman Klein Center publications.