جستجوی استاد راهنمای دانشگاهی

• Cybersecurity
• Cyber Analytics
• Digital Forensics
• +۴ مورد دیگر

Nicole L. Beebe is a Professor at the Alvarez College of Business, The University of Texas at San Antonio , specializing in cybersecurity, cyber analytics, and digital forensics. With over two decades of experience spanning academia, government, and industry, she has contributed extensively to research on insider threats, IoT security, and threat hunting. Ph.D. in Business Administration (Information Technology), UTSA MS in Criminal Justice, Georgia State University BS in Electrical Engineering, Michigan Technological University Her research explores cybersecurity challenges in emerging technologies, including quantum computing, IoT, and large language models. She has pioneered studies on cyberbullying dynamics, forensic automation, and AI-driven threat detection. Recent publications focus on adversarial image obfuscation , VR for security operations , IoT forensic methodologies , and deepfake detection frameworks , reflecting interdisciplinary work at the intersection of security, AI, and digital evidence. 2022 Best Paper Award, Journal of Network & Computer Applications Senior Member, IEEE and ACM Senior Fellow, Information Systems Security Association As an Associate Editor for Computers & Security , she shapes the field through peer review. Her $14M+ in funding from NSF, DHS, and DoD underscores her impact on advancing cybersecurity research and education.

• Computation Theory and Mathematics
• Computer Software
• Blockchain Technology
• +۳ مورد دیگر

Ben Livshits is a Reader in Computing at Imperial College London's Department of Computing, part of the Faculty of Engineering. His research focuses on computation theory, computer software, and privacy-preserving technologies in blockchain systems. He holds a Ph.D. from Stanford University. Education: Ph.D. in Computer Science, Stanford University, 2007 Research Interests: Livshits specializes in cryptographic protocols for decentralized systems, ZK-Rollups optimization, MEV analysis, and privacy-enhancing technologies. His work bridges theoretical computer science with practical applications in blockchain scalability and security. Recent Research Trends: His 2024-2025 work emphasizes ZK-proof systems (e.g., zk-bench), MEV mitigation strategies, and formal foundations for rollups. He also explores community-driven verification (CrowdProve) and governance mechanisms for DeFi. Affiliations: He is affiliated with the Centre for Cryptocurrency Research and Engineering, contributing to interdisciplinary blockchain research. Grants & Labs: While specific grants are not listed, his work suggests involvement in Imperial's distributed systems and blockchain initiatives.

Nils Andri Bundiمشاهده پروفایل

مدرس ارشد

• Blockchain Technology
• Decentralized Finance (DeFi)
• Quantitative Finance
• +۳ مورد دیگر

Dr. Nils Andri Bundi is a Senior Lecturer at the ZHAW School of Engineering, Zurich University of Applied Sciences (ZHAW). His primary research focus includes blockchain technology, decentralized finance (DeFi), quantitative finance, and network theory. He holds a PhD in Financial Engineering from Stevens Institute of Technology (2014–2022). Research interests span financial risk management, big data analytics in finance, and the application of network theory to financial systems. His work emphasizes scalable architectures for financial data analysis and real-time market monitoring. Education: PhD in Financial Engineering at Stevens Institute of Technology Publications highlight contributions to cryptocurrency market analysis, big data-driven risk modeling, and SQL optimization in financial systems. Bundi is a key member of the ZHAW Data Science Laboratory and the DeFi Collective. He has contributed to projects like RENERG2 (renewable energy systems) and Real-time price anomaly detection for market data quality monitoring. His professional activities include advising startups and maintaining active roles in industry networks like the Risk- and Finance-Lab. Bundi also serves as a founder of VESU XYZ and actively engages with DeFiScan_info initiatives.

Ahmad Alsharifمشاهده پروفایل

استادیار

• Applied Cryptography
• IoT Security
• Blockchain Applications
• +۲ مورد دیگر

Dr. Ahmad Alsharif is an Assistant Professor in the Department of Computer Science at the University of Alabama's College of Engineering. His research expertise spans applied cryptography, IoT security, cyber-physical systems security, and blockchain applications. He received his B.S. and M.S. in Electrical Engineering from Benha University, Egypt, and Ph.D. in Electrical and Computer Engineering from Tennessee Tech University. Research focuses on security challenges in critical infrastructure systems including smart grids, IoT networks, and UAV systems. Current projects investigate privacy-preserving machine learning techniques, adversarial attack resilience, secure data marketplaces, and attack detection mechanisms for distributed energy systems. His work combines cryptographic protocols with machine learning for trustworthy systems. Awards include the NSF Research Initiation Initiative Grant (NSF CRII) and Young Innovator Award from Egyptian Industrial Modernization Center.

• Artificial Intelligence (AI)
• Machine Learning Algorithms
• AI Ethics
• +۴ مورد دیگر

Daswin De Silva is a Full Professor of AI and Analytics at La Trobe University, Australia, and Deputy Director of the Centre for Data Analytics and Cognition (CDAC). He also holds an Adjunct Professor position at Lulea University of Technology, Sweden. His expertise spans AI ethics, algorithm development, and applications in healthcare, energy, and education. He leads major initiatives like the La Trobe Energy AI Platform for net-zero emissions and the OptusU AI Micro-credentials program. Education: PhD in AI (Monash University, 2011). Awards include the Australian Awards for University Teaching (2021), Vice-Chancellor’s Teaching Award (2019), and Mid-Career Research Excellence Award (2018). Editor of five journals including IEEE Transactions on Industrial Informatics and Springer Discover AI. Research focuses on generative AI, ethical AI systems, and vector symbolic architectures. Recent work includes AI applications in healthcare diagnostics, energy efficiency, and smart cities. He has secured AU$14M in research funding and supervised 15 PhD completions with 10 current students. Leadership roles include Deputy Chair of La Trobe’s Research & Graduate Studies Committee and chairmanship of IEEE committees on Responsible AI and Web/Information Systems. Keynote speaker at global conferences like IEEE HSI, INDIN, and ETFA. Media engagements include ABC News, Forbes, and The Conversation.

Safa Otoumمشاهده پروفایل

استادیار

• Network Security
• Blockchain Applications
• Artificial Intelligence
• +۵ مورد دیگر

Safa Otoum is an Assistant Professor at the College of Technological Innovation (CTI), Zayed University, UAE, and holds an adjunct role at the School of Computer Science and Electrical Engineering. She is a licensed Professional Engineer (P.Eng.) in Ontario and a member of IEEE and ACM. Her expertise spans network security, blockchain, AI, and IoT, with a focus on intrusion detection and prevention systems. Education: She earned a M.A.Sc. (2015) and Ph.D. (2019) in Computer Engineering from the University of Ottawa, Canada, followed by postdoctoral research there. She has held roles as a data scientist at Cheetah Networks and as a researcher in reputable institutions. Research Interests: Her work emphasizes AI-driven security solutions, blockchain applications in IoT, federated learning, and sustainable smart city infrastructure. She explores machine/deep learning for cybersecurity and has pioneered architectures for secure vehicular networks and healthcare systems. Publications: Over 15 peer-reviewed articles in top journals/conferences like IEEE Transactions on Network, ACM TOIT, and GLOBECOM. Notable contributions include highly cited blockchain surveys and award-winning intrusion detection frameworks. Awards: Recipient of prestigious scholarships (NSERC, Canada Graduate Scholarship) and grants (RIF, TII). Honored with a Best Paper Award for intrusion detection research in critical infrastructure. Service Roles: She serves as Area Editor for Springer's Cluster Computing, chairs international workshops on securing healthcare systems, and organizes conferences on network security and intelligent transportation. She also guest-edits special issues on AI-driven healthcare in journals like Electronics.

Jessica Collinsمشاهده پروفایل

دانشیار

• Formal Epistemology
• Decision Theory
• Causal Decision Theory
• +۳ مورد دیگر

Jessica Collins serves as Associate Professor of Philosophy at Columbia University, where she has been a faculty member since 1990. Her office is located in Philosophy Hall (Mail Code: 4977), with contact email jessica.collins@columbia.edu. Her research centers on the nature of rationality through formal epistemology and decision theory frameworks. Past investigations examined counterfactuals and metaphysical causation, while current projects analyze causal decision theory foundations and blockchain epistemology within decentralized consensus systems. Collins' scholarly output demonstrates consistent focus on rationality mechanisms, exemplified by her 1995 Analysis publication addressing desire-belief relationships in epistemic frameworks. Academic service includes advising Economics and Philosophy undergraduate majors and representing the department in School of Professional Studies Summer Sessions programming.

• Cybersecurity
• IoT Security
• Blockchain
• +۲ مورد دیگر

Muhammad Ajmal Azad is a Senior Lecturer in Computing at the University of Derby's College of Science and Engineering specializing in cybersecurity for distributed systems. His research develops privacy-preserving architectures for IoT, vehicular networks, and pandemic response technologies. Research focuses on: Privacy-enhancing technologies for mobile health applications Blockchain implementations in vehicular networks Trust management systems for machine-to-machine communication Security frameworks for next-generation networks Publications demonstrate consistent innovation in security protocols for emerging technologies including COVID-19 contact tracing apps and blockchain-enabled IoT ecosystems.

Shweta Jainمشاهده پروفایل

استاد

• Cybersecurity
• Blockchain Technology
• Wireless Networks
• +۶ مورد دیگر

Shweta Jain is a Professor in the Department of Mathematics and Computer Science at John Jay College of Criminal Justice, part of the City University of New York (CUNY). She holds dual roles as Graduate Faculty in the Digital Forensics and Cyber Security program and Doctoral Faculty in Computer Science at CUNY's Graduate Center. With a Ph.D. in Computer Science from Stony Brook University (2007), her expertise spans Cybersecurity, Blockchain, Wireless Networks, and Software Development. Education Background: Ph.D. Computer Science, Stony Brook University, 2007 M.S. Computer Science, Stony Brook University, 2005 B.E. Electronics and Telecommunication Engineering, Indian Institute of Engineering Science and Technology (IIEST) Shibpur, 2005 Research Interests: Cybersecurity frameworks and digital forensics Blockchain applications in social systems Wireless network protocols and security Perceptual hashing for image authentication Network vulnerability analysis Notable Achievements: Recipient of 2014 IEEE Region-1 Award for Outstanding Teaching Senior Member of IEEE Over 30 peer-reviewed publications and patents in networks, forensics, and distributed systems Advising & Grants: Guided multiple student research projects in network security and forensics Developed innovative tools like E-Witness for digital evidence preservation Contributed to NSF-funded projects on wireless simulation realism Labs & Teams: Director of the Cybersecurity Research Lab at John Jay College Collaborates with WINLAB at Rutgers University on wireless protocols

Hendro Wicaksonoمشاهده پروفایل

استاد

• Data-Driven Approaches
• Causal AI
• Explainable AI
• +۵ مورد دیگر

Prof. Hendro Wicaksono is a Professor of Data-Driven Industrial Systems at the School of Business, Social & Decision Sciences, Constructor University Bremen gGmbH. His expertise lies in applying AI and data-driven methods to enhance decision-making in complex industrial systems. He holds a Dr.-Ing. from Karlsruhe Institute of Technology (Germany) and M.Sc./B.Sc. degrees from German and Indonesian institutions. Research Interests : Focuses on causal AI, explainable AI, digital twins, sustainable industrial systems, and smart cities. His work integrates machine learning with domain-specific challenges in supply chains and energy management. Projects : Led over 10 funded projects including Delfine (accelerating energy transition), Talenta (digital asset management), and xAgri (agri-food supply chain analytics). Collaborates with global partners like Stadtwerke Trier and JetBrains. Teaching : Courses include Data Management in Industry 4.0, Production Planning, and Smart Cities. Recently on sabbatical in Spring 2023. Students : Supervises 20+ PhD/Master students researching topics like causal ML in software projects, EV adoption modeling, and blockchain logistics. Affiliations : Visiting Professor at University of Exeter, Adjunct Professor at Sebelas Maret/Airlangga Universities (Indonesia), and Academic Leader at Bandung Institute of Technology.

Emil Salibمشاهده پروفایل

استاد

• DevOps Automation
• Virtualization
• Cloud Computing
• +۵ مورد دیگر

Emil Salib is a Professor in the Department of Computer Science and Information Technology Program at James Madison University (JMU), part of the College of Integrated Science & Engineering. His expertise spans networking, cybersecurity, and cloud computing. He holds a Ph.D. in Solid State Physics from the University of Wollongong and dual bachelor's degrees in Electrical Engineering and Physics from Cairo University. Education: Ph.D. in Solid State Physics, University of Wollongong, Australia M.S. in Telecommunications Networks, Cairo University B.S. in Electrical Engineering (Electronics and Communications), Cairo University B.S. in Physics, Cairo University Research Interests: Focuses on DevOps tools (Git, Ansible), cloud platforms (OpenStack), SDN/SD-WAN, wireless security algorithms, and blockchain applications. His work bridges theoretical physics and practical network engineering, emphasizing automation and infrastructure orchestration. Experience: Executive Director at Ericsson/Telcordia Technologies Director at Bellcore for network software systems Postdoctoral Researcher at University of Hull's Magneto-Optics Group Courses Taught: Includes advanced networking, cybersecurity, telecommunications, and capstone project courses. Employs industry-relevant tools like Docker, Kubernetes, and OpenStack in curriculum. Labs/Teams: Leads initiatives in JMU's Information Technology program integrating industry standards with academic rigor.

• Blockchain Technology
• Information Systems Governance
• Decentralized Systems
• +۵ مورد دیگر

Christoph Mueller-Bloch is an Assistant Professor at ESSEC Business School, France, specializing in information systems governance, blockchain technology, and decentralized systems. He holds a Ph.D. from the IT University of Copenhagen (2020) and has held roles including Postdoctoral Researcher (2020-2021) and Visiting Scholar at New York University (2019). His research focuses on blockchain governance, decentralization metrics, and the socio-technical challenges of distributed ledger technologies. Education: Ph.D. in Information Systems and Decision Sciences, IT University of Copenhagen (2020) M.Sc. in Business Administration and Information Systems, Copenhagen Business School (2017) B.Sc. in Business Administration, University of Göttingen (2014) Main Research Themes: Blockchain governance frameworks Decentralization in proof-of-stake systems Design principles for blockchain applications Comparative analysis of permissioned vs. permissionless blockchains Awards: 2021 AIS Impact Award Teaching & Other Activities: Develops courses on information systems and blockchain technologies at ESSEC Authored Harvard Business School case studies on blockchain adoption Contributed to media discussions on cryptocurrency trends Labs/Teams: Actively involved in ESSEC's research teams exploring blockchain applications in finance and governance.

Judith Cliftonمشاهده پروفایل

استاد

• Public Policy
• Public Services Reform
• European Financial Architecture
• +۵ مورد دیگر

Judith Clifton is a Full Professor of Economic and Public Policy at the University of Cantabria's Faculty of Business & Economic Sciences. She serves as Editor-in-Chief of the Journal of Economic Policy Reform and Co-Editor of the Cambridge Journal of Regions, Economy & Society . Her research focuses on public services reform, public banking (especially the European Investment Bank), and blockchain's role in governance. She leads the Horizon Europe-funded GreenPaths project (2023-26, €3M), exploring just transitions to sustainability, and previously directed the Horizon2020-funded TOKEN project (2020-23, €4M) on blockchain in public sectors. Clifton holds a DPhil in Political Economy from the University of Oxford (1998) and a Master's in Contemporary International Studies (Leeds, Distinction). She has held prestigious fellowships including the Jean Monnet Chair (2017-2020), Fulbright (Cornell), and Ramón y Cajal. She has advised the World Bank, UN, OECD, and EU institutions, and served on Horizon 2020 evaluation panels. Her research explores how governments reform public services (health, education, energy) in response to crises like austerity and climate change. She analyzes the European financial architecture's evolution post-2008 crisis and advocates for equitable green transitions. Her work also examines digital government transformation and public banks' roles in fostering sustainable development. Clifton's publications span over 100 articles in top journals like Journal of European Public Policy and Public Management Review , plus co-edited books. Her work has earned best-paper awards and influenced policy debates in Europe and Latin America.

• Computer Operating Systems
• Computer Systems Analysis
• Distributed Systems
• +۵ مورد دیگر

Liuba Shrira is a Professor of Computer Science at Brandeis University, affiliated with the Michtom School of Computer Science and the Benjamin and Mae Volen National Center for Complex Systems. Her research focuses on distributed systems, storage systems, blockchain technology, concurrent programming, and system architectures. She holds a Ph.D., M.S., and B.S. from the Technion – Israel Institute of Technology. Her work emphasizes reliable and highly available systems, including innovations in snapshot management, transactional memory, and adversarial cross-chain commerce. She has been recognized with awards such as the ACM Distinguished Scientist (2009), Lady Davis Fellowship (2010-2011), and a Best Paper Award (2020). Her research has been supported by grants from the National Science Foundation and other institutions. Recent publications highlight advancements in optimistic concurrency control, blockchain interoperability, and modular past-state systems. Shrira has also contributed to middleware design and distributed computing frameworks, with applications in both academic and industry settings.

Michael Schilligمشاهده پروفایل

استاد

• Financial Law
• Corporate Law
• Corporate Insolvency Law
• +۴ مورد دیگر

Professor Michael Schillig is a Professor of Law at The Dickson Poon School of Law, King’s College London. He joined King’s in 2007 after serving as the DAAD Lecturer in Law at the University of Sheffield. He holds an LLB from the University of Erlangen-Nuremberg, an LLM from King’s College London, and a PhD from Humboldt University Berlin. He has been a Visiting Scholar at the University of California, Berkeley, and UCLA. His research focuses on transnational, European, and comparative private and commercial law, with emphasis on contract law, corporate law, and corporate insolvency. He is co-authoring a book on Comparative Company Law (Oxford University Press) and has published extensively on topics such as blockchain technology’s legal implications, EU banking resolution frameworks, and post-Brexit legal challenges. Professor Schillig has secured grants including a British Academy Mid-Career Fellowship (2019) for his project on blockchain solutions to the Too-Big-To-Fail problem. He teaches undergraduate and postgraduate courses on financial law, corporate restructuring, and consumer protection. His work frequently addresses the intersection of technology and law, particularly in financial markets. Education: PhD, Humboldt University Berlin LLM, King’s College London LLB, University of Erlangen-Nuremberg Awards: British Academy Mid-Career Fellowship (2019) Key Projects: FinWork Futures : Investigating financial work and new technologies Co-authoring Comparative Company Law with Carsten Gerner-Beuerle Labs/Teams: Active in Technology, Ethics, Law and Society (TELOS) initiatives