جستجوی استاد راهنمای دانشگاهی

Marco Giacalone is a Research Professor at the Private and Economic Law Department (PREC) of the Vrije Universiteit Brussel (VUB), where he also serves as Co-Director of the Research Group on Digitalisation and Access to Justice (DIKE). He holds adjunct professorships at VUB (2018-2019) and has been a postdoctoral researcher at the Brussels Research Institute on Development, Governance, and Empowerment. His work focuses on the intersection of digital technologies and legal processes, particularly in Private International Law, ODR, and ADR. **Education**: PhD in Law (Doctor Europaeus, 2016) from VUB and University of Naples Federico II, specializing in Dispute Resolution and emerging IT realities. **Research Interests**: Digital transformation of legal systems, blockchain applications in justice, AI-driven conflict resolution, cross-border dispute mechanisms, and equitable algorithmic systems. His projects include EU-funded initiatives like CREA3 (Equitative Algorithms) and IDEA (Access to Justice tools). **Grants & Projects**: Over 10 projects funded by the EU, including EU683 (Equitative Algorithms), EU681 (IDEA), and EU676 (Digitalising Small Claims). Active in consortiums like IPSU 2022 (Digital Ius Knowledge Empowerment) and OZR4193 (VUB-UNIPARTHENOPE PhD collaboration). **Awards**: 2019 Best Paper Award and Marie Skłodowska-Curie Fellowship (2020). Extensive speaking engagements on topics like AI in judiciary, blockchain legal frameworks, and digital justice. **Labs/Teams**: Leads the DIKE Research Group and collaborates with the Brussels Research Institute. Involved in developing tools like Prodigit (digital tax justice) and CREA’s cloud-based decision support systems.

• Digitalisation of Legal Processes
• Private International Law
• Online Dispute Resolution (ODR)
• +۴ مورد دیگر

Prof. Iwa Salami is a Professor of Law at the Royal Docks School of Business and Law, University of East London. She serves as Director of the Centre of FinTech, Programme Leader for the LLM in FinTech Law, and oversees Postgraduate Research Degrees in Law. She has held roles such as member of the Central Bank Digital Currency (CBDC) Academic Advisory Group (Bank of England/HM Treasury, 2023) and Governing Council Member of the British Institute in Eastern Africa (2016–2022). Education: PhD (Queen Mary, University of London) LLM (King's College, University of London) LLB (University of Westminster) PG Cert in Learning and Teaching in Higher Education Research Interests: Regulation of mobile payments, crypto-assets, CBDCs, blockchain, AI in finance. Her work emphasizes African financial systems and global regulatory challenges. Recent focus includes decentralized finance (DeFi), NFTs, and metaverse legal frameworks. Awards: Fellow of the Higher Education Academy (FHEA) Grants & Advising: Supervises PhD students on topics like crypto regulation in Africa and AI in FinTech. Engages with industry partners including Barclays, HSBC, and Algorand Foundation to bridge academic-research and policy impact. Labs/Teams: Leads the Centre of FinTech, collaborating with global institutions on CBDC policy, digital identity, and FinTech fraud prevention.

• Financial Regulation
• FinTech Law
• Central Bank Digital Currencies (CBDCs)
• +۵ مورد دیگر

Dr. Man Ho Allen Au is an honorary professor at the Department of Computer Science, University of Hong Kong (HKU), with a career spanning cutting-edge research in applied cryptography, information security, and blockchain technology. His work bridges theoretical innovation and industrial applications. BEng, MPhil from the Chinese University of Hong Kong (2003, 2005) PhD from University of Wollongong (2009) A former associate professor at Hong Kong Polytechnic University, Dr. Au’s research drives advancements in blockchain technology , applied cryptography , and privacy-preserving techniques , with deployments in Hyperledger Fabric and discussions by privacy-focused currencies like Monero. His publications in top venues (CRYPTO, IEEE S&P, CCS) focus on lattice-based cryptography , secure protocols , and privacy-enhancing technologies . These works have attracted over 25 million HKD in grants, including RGC GRF and ITF projects. 2021 : New Frontiers of Lattice-Based Cryptography (RGC GRF), Secure Computation over Encrypted Data (ITF Seed), Blockchain Platform for Data Sharing (ITF Platform) 2020 : Practical Post-Quantum Zero-Knowledge Proofs (RGC GRF), NSFC project on quantum-resistant schemes 2019–2017 : Blockchain for logistics, anti-counterfeit systems, and post-quantum signature constructions Awarded the 2009 PET runner-up for privacy research, Dr. Au contributes to standards via ISO/IEC JTC 1/SC 27 working group and the Hong Kong Blockchain Society.

• Applied Cryptography
• Information Security
• Blockchain Technology
• +۲ مورد دیگر

Mohammad Kamrul Hasan is an Associate Professor and Head of the Network and Communication Technology Research Lab at the Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM). He holds a Ph.D. in Electrical and Communication Engineering from the International Islamic University Malaysia (IIUM) and has over a decade of prior industry experience in communication systems and network design. He has held academic positions at Universiti Malaysia Sarawak and IIUM, and is currently active in research and leadership at UKM. Ph.D. in Engineering (Electrical and Computer Engineering), International Islamic University Malaysia, 2016 M.Sc. in Communication Engineering, International Islamic University Malaysia, 2012 His research focuses on cutting-edge areas in network and communication technologies. Key interests include Wireless Communication and Network Security , Industrial Internet of Things (IIoT) , Cyber-Physical Systems , 5G and Beyond (6G) Networks , Smart Grids , and AI-driven security . He explores machine learning, federated learning, blockchain, and optimization algorithms to enhance network resilience, privacy, and efficiency in critical infrastructure and consumer electronics. His recent publications (2023–2025) demonstrate a strong trend toward intelligent and secure next-generation networks. Topics include intrusion detection in IIoT, passwordless authentication, federated learning for healthcare IoT, 6G security, and digital twins for SCADA systems. His work is frequently published in high-impact IEEE and Springer journals, reflecting a consistent and influential research output. Gold Medal for research excellence Young Scientist Award Fulbright Scholarship (Ministry of Higher Education Malaysia) Senior Member, IEEE (since 2013) Member, Institution of Engineering and Technology (IET) Member, Internet Society Dr. Hasan has served as an editorial member for prestigious journals including IEEE, IET, and Elsevier. He has led funded research projects such as the design of a two-way wireless communication system for medium-voltage electrical networks at Universiti Malaysia Sarawak. He has mentored students and collaborated widely, with co-authors from Malaysia and international institutions. He has also contributed to professional service as Chairperson of the IEEE IIUM Student Branch and as a peer reviewer for over 13 journals including Computer Networks , Internet of Things , and Soft Computing . He leads the Network and Communication Technology Research Lab at UKM, focusing on secure, intelligent, and scalable communication systems for smart cities, industry, and healthcare. His team works on AI-powered intrusion detection, blockchain for critical infrastructure, and privacy-preserving data fusion in IoT environments.

• Wireless Communication and Network Security
• Cyber Physical Systems
• Industrial Internet of Things
• +۸ مورد دیگر

Zheng Yang is a Professor at Tsinghua University's School of Software, with significant research contributions in cryptography, cybersecurity, and privacy-preserving systems. His work spans multiple institutions including collaborations with University of Helsinki's Secure System Group and Chongqing University of Technology. He maintains active research in both theoretical and applied security domains, with particular focus on industrial applications. Professor Yang's research interests center on cryptographic protocols, authentication mechanisms, and security for emerging technologies. His work addresses critical challenges in Cyber-Physical Systems security, Industrial Internet of Things protection, and privacy-preserving computation. He has made significant contributions to secure key exchange protocols, authentication systems, and defenses against sophisticated network attacks including DDoS mitigation strategies. His research bridges theoretical cryptography with practical implementations for resource-constrained environments. Analysis of Professor Yang's recent publications reveals a strong trend toward practical security solutions for industrial and embedded systems. His work increasingly focuses on balancing security with performance constraints in Cyber-Physical Systems and Industrial IoT environments. Key research themes include lightweight cryptography for resource-constrained devices, privacy-preserving location services, and novel authentication mechanisms that maintain security while minimizing computational overhead. His publications demonstrate consistent innovation in adapting cryptographic techniques to real-world security challenges. Professor Yang has established himself as a leading researcher through his extensive publication record in top security venues including IEEE Security & Privacy, USENIX Security, and ACM conferences. His work has been published consistently in high-impact journals and conferences, demonstrating sustained research productivity and influence in the security community. Professor Yang maintains active research collaborations with numerous institutions globally, evidenced by his extensive co-authorship network. His research has attracted significant funding for projects addressing critical security challenges in emerging technologies. His work on secure authentication protocols and privacy-preserving systems has practical applications across multiple industry sectors. Professor Yang leads research initiatives focused on secure Cyber-Physical Systems and Industrial IoT security. His laboratory work emphasizes practical implementations of cryptographic protocols for real-world systems, with particular attention to performance constraints in embedded environments. Current research directions include secure communication for programmable logic controllers, privacy-preserving location services, and adaptive defenses against sophisticated network attacks.

• Cryptography
• Cybersecurity
• Authentication Protocols
• +۵ مورد دیگر

Professor Asif Gill is Head of Discipline for Software Engineering at the School of Computer Science, University of Technology Sydney (UTS), where he was promoted to Professor of Computer Science in January 2024. He also serves as Director of the DigiSAS Research and Innovation Lab and is actively involved in the Global Big Data Technologies Centre at UTS. As a founder of both the DigiSAS Lab and the Future Generation Enterprise Architecture Community of Practice (FGEA CoP), he has established integrated teaching-research-engagement frameworks that translate academic research into practical applications while enhancing graduate employment opportunities. Professor Gill's research interests span Adaptive Enterprise Architecture , Agile Software Development , and Design Science Research & Innovation , with a particular focus on architecting large-scale data-intensive enterprise software systems. His work addresses challenges across academia, industry, government, and society, with significant contributions to AI systems architecture, digital identity management, and enterprise knowledge graphs. His applied research has resulted in numerous collaborations with organizations including the Reserve Bank of Australia, Revenue NSW, Capsifi, Data Zoo, and the NSW Department of Planning, Industry and Environment. His publication record includes 3 books and over 190 articles in major academic journals such as IEEE Transactions on Professional Communication, Information and Management, and Information Systems. His recent work demonstrates a consistent focus on cutting-edge topics in enterprise architecture, AI systems, and digital identity, with multiple publications appearing in 2024-2025. His research trajectory shows a clear evolution from foundational work in agile software development toward more sophisticated integration of AI, enterprise architecture, and data governance. Fellow of the Australian Computer Society (ACS) Fellow of DSE (ESCP Center for Design Science in Entrepreneurship) Senior Member IEEE Associate Editor, IEEE Transactions on Technology & Society Associate Editor, Springer Nature Discover Data journals Member, Data Sharing Committee, IFIP Technical Committee 8.1 Member, Standards Australia Software and Systems Engineering Committee IT-015 Professor Gill has successfully secured numerous research grants from 2019-2026, totaling significant funding for projects related to digital identity, enterprise architecture, and AI systems. His approach emphasizes industry-academia collaboration, with many projects involving direct partnerships with government agencies and industry organizations. He has supervised multiple PhD and Master's students through industry-sponsored scholarships and maintains active collaborations with researchers across multiple institutions. Leading the DigiSAS Research and Innovation Lab, Professor Gill has created an environment that bridges theoretical research with practical implementation. The lab focuses on developing frameworks and tools for adaptive enterprise architecture, with particular emphasis on AI-enabled systems, data governance, and digital identity solutions. His work on the Data Satellite Architecture represents a significant contribution to combating data pollution in federated digital ecosystems.

• Adaptive Enterprise Architecture
• Agile Software Development
• Design Science Research
• +۶ مورد دیگر

Konstantinos Markantonakis is a Professor of Information Security in the Department of Information Security at Royal Holloway, University of London, where he also serves as Director of the Smart Card and IoT Security Centre and the Transformative Digital Technologies, Security and Society Catalyst. He is a leading figure in embedded systems and IoT security, with extensive research and consultancy experience. BSc (Hons) in Computer Science, Lancaster University, 1995 MSc in Information Security, Royal Holloway, 1996 PhD in Smart Card Security, Royal Holloway, 2000 MBA in International Management, Royal Holloway, 2005 His research focuses on securing embedded and cyber-physical systems, including smart cards, mobile devices, drones, automotive systems, and IoT. He investigates trusted execution environments, side-channel analysis, secure protocols, and hardware-software binding. His work bridges theoretical security and practical implementation, often uncovering zero-day vulnerabilities in consumer devices. The recent publications highlight a strong trend in trusted computing, remote attestation, secure embedded systems, and privacy-preserving technologies. His research integrates blockchain for secure energy trading, develops frameworks for edge machine learning, and advances forensic techniques for damaged storage media. He also explores covert channels in mobile and cloud environments, demonstrating a deep understanding of both offensive and defensive security. Best Paper Award Markantonakis has led major research projects such as EXFILES (forensic extraction from encrypted smartphones), Future TPM (quantum-resistant trusted modules), and the Academic Centre of Excellence in Cyber Security Research. He has supervised numerous PhD students and delivered keynotes at international conferences. His consultancy work has impacted financial institutions, transport operators, and mobile platform security. He leads the Smart Card and IoT Security Centre, a research hub focusing on practical security for connected devices. The centre conducts cutting-edge research in side-channel attacks, secure application execution, and forensic analysis, contributing significantly to both academic and industrial advancements in cybersecurity.

• Information Security
• Cybersecurity
• Smart Card Security
• +۱۵ مورد دیگر

Dr. Umar Ruhi is a Full Professor and Ian Telfer Teaching Fellow at the Telfer School of Management, University of Ottawa, where he also serves as Vice-Dean of Undergraduate Programs. He holds a B.Sc. in Computer Science from the University of Toronto, an MBA from McMaster University, and a Ph.D. in Information Systems and Management Science from McMaster's DeGroote School of Business. His teaching spans undergraduate and graduate programs, covering information systems, cybersecurity management, and interdisciplinary courses in digital transformation. Research Focus: Professor Ruhi's work intersects information systems and knowledge management, with current emphasis on: Consumer health informatics and personal health records Digital misinformation countermeasures and tool usability Human-AI collaboration frameworks and governance Learning analytics and adaptive gamification in education Social computing and enterprise applications His research has resulted in commercial patents and practical implementations across industries. Research Recognition & Funding: Professor Ruhi has secured significant research funding, including: Canadian Heritage grant ($68,160) for disinformation research Multiple MITACS grants ($30,000 each) for AI, blockchain, and health tech projects Telfer Education Excellence Fellowship ($45,000) for learning analytics Noteworthy recognitions include the 2012 Best Dissertation Award from the German Society for Online Research and conference best paper awards. Academic Leadership: Beyond research, Professor Ruhi leads pedagogical innovation through his Ian Telfer Teaching Fellowship, exploring generative AI applications in education. His extensive consulting portfolio includes e-government portals, UX design, and knowledge management systems. As Vice-Dean, he oversees undergraduate program development and strategic initiatives.

• Consumer Health Informatics
• Digital Misinformation
• Human-AI Collaboration
• +۵ مورد دیگر

Koushik Sen is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. His research focuses on developing software tools and methodologies to enhance programmer productivity and software quality, with expertise in Software Engineering, Programming Languages, and Formal Methods. Education: B.Tech from Indian Institute of Technology, Kanpur M.S. and Ph.D. in Computer Science from University of Illinois at Urbana-Champaign Research Focus: Professor Sen pioneers automated testing techniques including concolic testing and DART (Directed Automated Random Testing). His work bridges formal methods with practical software development, emphasizing bug detection, program synthesis, and AI-driven software analysis tools. Recent innovations include machine learning approaches for code recommendation and fuzzing. Publication Trends: His recent publications (2019-2023) demonstrate strong emphasis on fuzzing techniques, program synthesis, and AI/ML applications in software engineering. Notable domains include smart contract security, automated testing, and developer tooling, with frequent collaborations in top-tier conferences. Awards and Honors: NSF CAREER Award (2008) Sloan Foundation Fellowship (2011) IFIP TC2 Manfred Paul Award (2010) Okawa Foundation Research Grant (2015) Multiple ACM SIGSOFT Distinguished Paper Awards UIUC Distinguished Alumni Educator Award (2014) Leadership: Active program committee member for premier conferences (PLDI, ICSE, ISSTA) and keynote speaker. His research is supported by NSF, Okawa Foundation, and Sloan Foundation.

• Software Engineering
• Programming Languages
• Formal Methods

Prof. Dr. Robert Risse is an esteemed academic and practitioner in tax law, currently serving at the Institute for Austrian and International Tax Law at Vienna University of Economics and Business since 2020. Previously, he held the position of Corporate Vice President Tax & Trade at Henkel AG & Co KGaA from 2000 to 2020, where he was globally responsible for taxation and customs. He also holds the title of Honorary Professor for Tax Compliance and Applied Tax Planning at the Institute for Business Taxation, University of Leipzig. His extensive career bridges academic excellence with practical corporate tax leadership. Education 2017: Chairman of the Board of Directors for the Transfer Pricing Center of the Institute for International and Austrian Tax Law, Vienna University of Economics and Business 2014: Doctoral Thesis "Tax Compliance und Tax Risk Management: Eine rechtsvergleichende Analyse und Umsetzung in einem internationalen Konzern" at University of Freiburg 1986-1989: Second State Examination in Law, University of Bonn 1983-1986: First State Examination in Law, University of Bonn 1979-1982: Diplom Finanzwirt FH in Financial Sciences, University of Applied Sciences for Finances North Rhine-Westphalia Research Interests Prof. Risse's research focuses on the intersection of tax compliance, digitalization, and international tax systems. His work explores how digital technologies can transform tax compliance processes, particularly in multinational corporations. He has pioneered research on Tax Compliance Systems, Transfer Pricing in the digital age, and the integration of tax risk management with corporate governance frameworks. His expertise spans international tax law, corporate taxation, and the practical implementation of tax strategies in global business environments. His recent work emphasizes the practical implementation of digital tax systems, with particular attention to blockchain applications, AI in tax compliance, and the integration of tax processes with broader business systems. He has developed frameworks for assessing tax risk in multinational corporations and has contributed significantly to the understanding of transfer pricing in the context of digital business models. Publication Trends Prof. Risse's recent publications reveal a strong focus on digital transformation in tax systems, with increasing attention to practical implementation challenges. His work consistently bridges theoretical tax principles with real-world corporate applications, particularly in multinational contexts. The emergence of topics like AI in tax administration, blockchain applications, and digital compliance systems reflects his forward-looking approach. His research shows a clear trajectory from traditional tax compliance toward integrated digital tax ecosystems that address both regulatory requirements and business efficiency needs. Professional Engagement President of Gesprächskreis Rhein-Ruhr, Internationales Steuerecht e.V./International Fiscal Association (IFA) West Member of DIHK Finanz- und Steuerausschuss, Berlin Member of Düsseldorfer Vereinigung für Steuerrecht e.V Member of Fachinstitut der Steuerberater e.V., Düsseldorf Member of Institut Finanzen und Steuern, Berlin Teaching and Advisory Roles Prof. Risse has extensive teaching experience across multiple institutions including University of Leipzig, Vienna University of Economics and Business, University of Freiburg, University of Cologne, and WHU – Otto Beisheim School of Management. He has supervised doctoral students through the "Doktorandenseminar zur Betriebswirtschaftlichen Steuerlehre" at University of Leipzig. His teaching focuses on international taxation, corporate tax law, and the practical application of tax planning in multinational corporations.

• Tax Compliance
• Tax Risk Management
• Transfer Pricing
• +۴ مورد دیگر

Patrick Mignault is a Full Professor at the Faculty of Law, Université de Sherbrooke, and co-director of the Master's program in Business Law and Enterprise Risk (DARE). He holds a Doctorate in Law from Université de Montréal, alongside advanced degrees in Actuarial Mathematics and Finance from Université Laval. As a member of the Quebec Bar since 2002, he specializes in business law, governance, economic analysis of law, and financial risk management. His research focuses on retirement regimes, corporate governance, financial risk management , and the regulation of emerging technologies in finance . He actively contributes to the Entrepreneurial Legal Clinic and the Legal Innovation Laboratory at his faculty. Notable affiliations include membership in the Centre de recherche interdisciplinaire en cybersécurité de l’IUdeS , the Canadian Climate Law Initiative , and chairing the AMF Consumer Advisory Committee . He served as Associate Dean of Research and Graduate Studies from 2016-2019. Scientific Awards : Fondation du Barreau grant (2017-2018) His recent work explores AI governance frameworks , cybersecurity risk management , and ESG integration in pension funds , with publications in leading journals like McGill Law Journal and R.G.D.

• Business Law
• Governance
• Economic Analysis of Law
• +۴ مورد دیگر

Dr. Nguyet (Moon) Nguyen is an Associate Professor in the Department of Mathematics & Statistics at Youngstown State University (YSU) , where she has been teaching since 2014 and was promoted to associate professor in 2020. Her work bridges financial mathematics with machine learning for predictive modeling in economics, stock markets, and risk assessment. She is currently writing a book titled Hidden Markov Model and Its Applications during her sabbatical leave in 2023, planned for publication in May 2025. PhD in Financial Mathematics, Florida State University (2014) MS in Financial Mathematics, Florida State University (2011) MS in Mathematics, Hanoi National University of Education (2002) BS in Mathematical Education, Hanoi National University of Education (1998) Her research focuses on applying Hidden Markov Models (HMM) , machine learning algorithms , and Monte Carlo methods to financial forecasting, including stock price prediction, economic recession modeling, and cryptocurrency volatility analysis. She also contributes to improving numerical algorithms for financial modeling, such as enhancing the Hull-White model with HMM. Recent publications highlight her expertise in ensemble learning for economic forecasting, predictive modeling for stock selection, and hybrid models combining statistical distributions (e.g., Normal Inverse Gaussian) with neural networks for risk assessment. These works span journals like Risks , Monte Carlo Methods and Applications , and MDPI publications. 2023: Sabbatical Leave Award, Youngstown State University Dr. Nguyen serves as an editor for MDPI journals and participates in professional service, including organizing mathematical modeling competitions in Vietnam and reviewing for the National Science Foundation (NSF).

• Financial Mathematics
• Machine Learning
• Predictive Modeling
• +۳ مورد دیگر

Kartik Nayak is an Associate Professor in the Department of Computer Science at Duke University, affiliated with Trinity College of Arts & Sciences. His research focuses on blockchain protocols, applied cryptography, and distributed computing, with recent emphasis on improving consensus efficiency and privacy-preserving computation. University of Maryland, College Park (2018) – Ph.D. Nayak's work addresses critical challenges in blockchain systems, including decentralization, consensus latency, and transaction privacy. His research spans theoretical protocol design and practical implementations, with applications in secure distributed systems and privacy-preserving technologies. Recent publications highlight advancements in DAG-based BFT protocols, order policy enforcement, and fault-tolerant consensus. These works intersect with computer science, cryptography, and decentralized finance, reflecting his interdisciplinary approach. Best Paper Award at OPODIS 2021 Best Paper Runner Up at ACM CCS 2021 Grants from the National Science Foundation (2023–2028) and Ethereum Foundation (2022–2027) support his research on scalable consensus and transaction privacy. He actively mentors Ph.D. students and contributes to academic discourse through publications and collaborations.

• Security
• Applied Cryptography
• Distributed Computing
• +۴ مورد دیگر

Mohammad Shojafar (M'17-SM'19) is an Associate Professor at the Institute for Communication Systems within the Faculty of Engineering and Physical Sciences at the University of Surrey , UK. He has secured over £1.9M in research funding as Principal Investigator for projects like ORAN-TWIN (EPSRC), PRISENODE (MSCA-IF), TRACE-V2X (MSCA-SE), and D-XPERT (Innovate UK), among others. Previously held positions include Senior Researcher at University of Toronto and Toronto Metropolitan University, Senior Researcher at Italian universities (Telecom Italia Mobile), and Postdoc at University of Padua Key affiliations: Associate Editor for IEEE Transactions on Network and Service Management, Intelligent Transportation Systems, Green Communications and Networking, and Consumer Electronics Magazine Research Specialism: 5G/6G Security and Privacy Open-RAN Security Green Networking Adversarial Machine Learning Applied Cryptography Publication Trends: Focus on Open RAN security challenges (bearer context migration poisoning, KPI poisoning attacks), IoT/Fog security (GAN-based attacks, distributed intrusion detection), Lightweight Cryptography (multi-signature protocols, authentication schemes), and AI-driven Network Optimization (federated learning, reinforcement learning applications). Recent work addresses security in vehicular networks, smart grids, and video streaming frameworks. Scientific Recognition: Marie Curie Individual Fellowship (MSCA-GF-IF) Intel Innovator ACM Professional Member Sustainability Fellow at Institute for Sustainability IEEE Senior Member Supervision: Currently supervising 6 PhD students and has graduated 5 PhD/MSc students since 2021. Active in 5G/Open RAN security research with over 20 related publications since 2022.

• Network Security and Privacy
• Open-RAN Security and Privacy
• Green Networking
• +۲ مورد دیگر

Deborah L. McGuinness is the Tetherless World Senior Constellation Chair and Professor of Computer, Cognitive, and Web Sciences at Rensselaer Polytechnic Institute (RPI). She serves as founding director of the Web Science Research Center, focusing on next-generation ontology-enabled research infrastructure for interdisciplinary applications. Leaders in Semantic Web and AI research Bridging AI with eScience and healthcare Developer of semantic frameworks for data-intensive resource efforts Her research spans artificial intelligence, knowledge representation, clinical decision support systems, and ontology engineering. She investigates how semantic technologies can enhance AI explainability, data interoperability, and interdisciplinary science. Her recent publications highlight trends in AI explainability frameworks Knowledge graph construction Clinical decision support Commonsense reasoning benchmarks Health informatics Data harmonization Scientific awards include Fellow of the American Association for the Advancement of Science (AAAS) Robert Engelmore Award from the Association for the Advancement of Artificial Intelligence (AAAI) She leads large data-intensive research efforts and has contributed to projects involving blockchain integration with semantic web standards, FAIR data principles, and incentivized research data sharing mechanisms.

• Semantic Web
• Knowledge Representation
• Artificial Intelligence
• +۶ مورد دیگر