جست‌وجوی استاد و پژوهشگر

Ali Amrollahiمشاهده پروفایل

مدرس

• Digital Work
• Strategic Impact of Emerging Technologies
• Technology Governance
• +۴ مورد دیگر

Ali Amrollahi is a Lecturer in Business Information Systems at the Department of Actuarial Studies and Business Analytics, Macquarie Business School, Macquarie University. His research focuses on digital work, strategic impact of emerging technologies, technology governance, openness in strategy, and digital innovation. He has published extensively in top journals like Journal of Strategic Information Systems and Information and Management , with over 269 citations and an h-index of 26. His work has been implemented in international organizations and featured in media such as Macquarie's The Lighthouse . Amrollahi serves as a Section Editor at the Australasian Journal of Information Systems and Track Chair for Australasian Conference on Information Systems (ACIS). He has received teaching grants and focuses on innovative pedagogy involving blockchain, cybersecurity, and employability skills. He has supervised multiple PhD and MRes students and is open to mentoring researchers in multidisciplinary information systems topics. His research has explored topics such as open strategic planning methodologies (e.g., OSPM framework), AI adoption in auditing, cybersecurity policy agility, and trust dynamics in sharing economies. Awards include the ACIS 2023 Best Theory Paper and Jeffrey Blee Memorial Prize. Recent activities include invited talks on digital strategizing and editorial roles in information systems journals.

Alan Woodwardمشاهده پروفایل

استاد

• Cyber Security
• Digital Forensics
• Cryptography
• +۵ مورد دیگر

Professor Alan Woodward is a renowned computer security expert at the University of Surrey, affiliated with the Surrey Centre for Cyber Security and Computer Science Research Centre. His career spans academia, government service, and private sector leadership, including pivotal roles in IT businesses like Charteris plc. He holds fellowships and chartered status across multiple prestigious institutions and actively advises governmental bodies such as Europol. Education: Undergraduate studies in Physics & Astronomy Postgraduate research in adaptive filtering and signal recovery at the University of Southampton's Institute of Sound and Vibration Research Research Focus: Woodward's interdisciplinary work bridges cybersecurity, digital forensics, and signal processing. His expertise includes cryptographic methods, steganography for covert communications, digital watermarking for data protection, and novel approaches to forensic computing. Current projects explore quantum computing threats and real-world cybercrime mitigation. Publication Trends: His recent articles demonstrate a strong focus on emerging cyber threats across societal and technical domains. Key themes include quantum cryptography vulnerabilities, organized cybercrime patterns, critical infrastructure risks, mobile/cloud security challenges, and public cybersecurity education with practical guidance for digital safety. Honors & Credentials: Fellow: Institute of Physics, British Computer Society, Royal Statistical Society Chartered Status: Engineer (CEng), IT Practitioner (CITP), Physicist (CPhys) Eur Ing (European Engineer) Leadership & Outreach: Beyond academic research, Woodward directs technology enterprises and leads public STEM engagement. He frequently contributes to international media (BBC, The Times, The Telegraph) as a cybersecurity commentator. His Surrey research teams collaborate with law enforcement and industry partners on threat intelligence initiatives.

Arijit Khanمشاهده پروفایل

دانشیار

• Graph Neural Networks
• Blockchain
• Data Management
• +۵ مورد دیگر

Arijit Khan is an Associate Professor in the Department of Computer Science at Aalborg University, Denmark. He leads the Data Engineering, Science and Systems group and is affiliated with the Technical Faculty of IT and Design. His research focuses on Graph Neural Networks , Blockchain , Data Management , and AI interpretability . He is the Principal Investigator (PI) of a major project on Data Management, Fundamental Algorithms, and Machine Learning for Emerging Problems in Large Networks (2022–2027). Research Interests : Graph Data Management & Machine Learning Blockchain Transaction Analysis Large Language Model + Knowledge Graph Synergies Healthcare AI (e.g., ICU glucose prediction) Explainable AI for Graph Neural Networks Research Trends : His publications emphasize neuro-symbolic systems , uncertain graph analysis , and AI-driven blockchain insights . Recent work bridges large language models with knowledge graphs and explores GPU performance optimization via shader code analysis. Awards & Grants : No explicit awards listed, but his active research grants include a 5-year project on large network analysis with interdisciplinary applications in life and health sciences. Funding emphasizes algorithmic innovation and data science integration. Labs/Teams : Head of the Data Engineering, Science and Systems research group, focusing on AI for societal impact ('AI for the People') and scalable graph data systems. Collaborations span blockchain analytics, healthcare informatics, and GPU architecture design.

Alex Zarifisمشاهده پروفایل

مدرس

• Information Systems
• Financial Technology
• Fintech
• +۵ مورد دیگر

Dr Alex Zarifis is a Lecturer in Information Systems at the Southampton Business School , University of Southampton. His work focuses on the intersection of technology and business, with particular emphasis on financial technology applications. BSc from University of Leeds MSc and PhD from University of Manchester Research areas include: Trust in digital systems Blockchain and cryptocurrency Artificial Intelligence applications Financial technology (Fintech) Business model innovation Electronic business His recent publications explore: Trust mechanisms in Central Bank Digital Currencies (CBDC) AI governance in Fintech boards Decentralized exchange adoption factors Agile responses in e-governance Mental health implications of research collaboration Professional affiliations: Member of CORMSIS (Centre for Operational Research, Management Science and Information Systems) Research affiliate at Cambridge Center for Alternative Finance (CCAF)

Michael Donald Baileyمشاهده پروفایل

استاد

• Computer Security
• Network Security
• Distributed Systems
• +۳ مورد دیگر

Michael Donald Bailey is a Professor and former Chair of the School of Cybersecurity and Privacy (SCP) at Georgia Institute of Technology, part of the College of Computing. Previously, he served as a Professor at the University of Illinois at Urbana-Champaign (UIUC) and as a Research Associate Professor at the University of Michigan. His research focuses on the security, performance, and availability of distributed systems, with over 90 scholarly publications. He has led initiatives to expand cybersecurity education, including new undergraduate threads and professional master’s programs at Georgia Tech. Bailey’s industry experience includes roles at Arbor Networks, where he managed teams protecting internet traffic from DDoS attacks, and three startups. He is a Senior Member of IEEE and ACM. Roles: Professor, Chair (until 2025), Researcher Affiliations: Georgia Tech (SCP, College of Computing), UIUC (Security and Privacy Research Group) His research interests span network security, distributed systems, and privacy engineering. Notable contributions include work on TLS certificate management, IoT security, and phishing defense mechanisms. Bailey advises students at both UIUC and Michigan, fostering next-generation cybersecurity experts.

Iwa Salamiمشاهده پروفایل

استاد

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

• Cyberphysical systems
• Internet of Things (IoT)
• Distributed systems
• +۷ مورد دیگر

Prof. Dimitrios Georgakopoulos is a Professor of Computer Science at Swinburne University of Technology's School of Science, Computing and Emerging Technologies. He serves as Director of the ARC Industrial Transformation Research Hub for Future Digital Manufacturing and Swinburne's IoT Lab. Previously, he was Research Director at CSIRO's ICT Centre and a Professor at RMIT University. Affiliations: CSIRO Adjunct Fellow since 2014 Leadership: Directed 7 large cross-disciplinary initiatives with $100M+ funding Research Focus: IoT, Cyber-Physical Systems, Digital Manufacturing, Machine Learning Funding: Secured $77.1M in external grants; $59.7M at Swinburne Research Interests: Digital twins and AI for manufacturing IoT sensor sharing ecosystems 5G-enabled smart cities Autonomic IoT systems Quality assurance in Industry 4.0 Awards: 2023 National iAward (Public Sector), Vice Chancellor’s Innovation Award (2018), and multiple industry and academic recognitions. Grants & Projects: Lead researcher on ARC-funded initiatives in digital manufacturing, cybersecurity, and steel innovation. Collaborates with industry partners like Bega Cheese and FIA on IoT-driven solutions. Labs & Teams: Oversees Swinburne's IoT Lab and the ARC Future Digital Manufacturing Hub, advancing Industry 4.0 applications in manufacturing, healthcare, and smart infrastructure.

Diego Klabjanمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Artificial Intelligence
• +۷ مورد دیگر

Diego Klabjan is a Professor at Northwestern University within the Department of Industrial Engineering and Management Sciences. He serves as the Founding Director of the Master of Science in Machine Learning and Data Science Program and Director of the Center for Deep Learning. Ph.D. in Algorithms, Combinatorics, and Optimization from Georgia Institute of Technology (1999) B.S. in Applied Mathematics from University of Ljubljana (1994) His research focuses on machine learning, deep learning, and analytics with applications in finance, transportation, sports, and bioinformatics. Key contributions include federated learning algorithms, reinforcement learning for cryptocurrency trading, and neural network applications in impact mechanics. Recent publications highlight advancements in blockchain-based federated learning, second-order policy gradient convergence, and ensemble deep reinforcement learning. His work bridges theoretical foundations with industrial applications across diverse sectors. Preseren’s Award for the Best Undergraduate Thesis (1994) Transportation Science Section Dissertation Prize (2000) Intel's Outstanding Researcher Award (2019) Jack Meredith Best Paper Honorable Mention (2022) Klabjan has advised notable students including Luis Guimarães (2015 APDIO/IO Award winner) and Young Woong Park (2015 INFORMS Computing Society Best Student Paper recipient). His collaborations span Fortune 500 companies and startups in analytics-driven domains.

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

• Cybersecurity
• Data Security and Privacy
• Context-Aware Access Control
• +۵ مورد دیگر

Dr ASM Kayes serves as Senior Lecturer in Cybersecurity and Cyber Curriculum Lead at La Trobe University's Department of Computer Science and Information Technology, where he shapes cybersecurity education programs including Master's, Bachelor's, and Double Degrees. His academic journey began with a PhD from Swinburne University of Technology in 2015, followed by postdoctoral research at La Trobe before joining as Lecturer in 2019 and promotion to Senior Lecturer in 2022. His research spans critical cybersecurity domains including data security, privacy preservation, context-aware access control, malware/ransomware defense, and IoT/fog/cloud security leveraging AI/ML techniques. Dr Kayes has established himself as a leading voice in blockchain security frameworks, privacy policy analysis, and cyber incident response through publications in top-tier venues like ACM Computing Surveys, IEEE Internet of Things Journal, and Computers & Security. His recent publications reveal a strong trajectory toward integrating AI with traditional security frameworks, particularly in blockchain risk assessment (2025), cross-domain access control (2025), and IoT behavior prediction (2024). The research demonstrates consistent focus on practical security solutions addressing ransomware mitigation, privacy breaches, and emerging threats in decentralized systems. Over $880,000 secured as Chief Investigator for cybersecurity projects Australian Government Department of Social Services grant (2023-2026) for cyberbullying prevention AustCyber research funds with industry partners (2020-2023) SmartSat CRC and ASCRIN PhD scholarship grants (2021) Dr Kayes has successfully supervised 5 PhD candidates to completion and currently mentors 5 doctoral students across diverse topics including AI-driven threat hunting, satellite network security, and blockchain risk frameworks. His collaborative network spans UK, USA, Europe, and Asia, with active industry partnerships through Westpac, BHP, and Quantum Victoria. He serves on editorial boards for leading cybersecurity journals and has examined HDR dissertations globally, reflecting his significant standing in the academic community.

Yu Chenمشاهده پروفایل

استاد

• Smart cities
• Intelligent surveillance
• Edge-fog-cloud computing
• +۶ مورد دیگر

Yu Chen is a Professor in the Department of Electrical and Computer Engineering at Binghamton University, State University of New York. He leads the Ubiquitous Smart & Sustainable Computing (US2C) Lab and serves as Director of the Center for Information Assurance and Cybersecurity (CIAC). His research focuses on Trust, Security, and Privacy in Edge-Fog-Cloud Computing, IoT, and Smart Cities. Dr. Chen holds a PhD from the University of Southern California (2006), with prior research under Professors Kai Hwang and Anthony F. J. Levi. His work has been funded by NSF, DoD, AFOSR, and industrial partners, yielding over 200 publications. He is a Senior Member of IEEE and SPIE, and a member of ACM. Education: PhD in Electrical Engineering, University of Southern California (2006) Affiliations: Director, US2C Lab Associate Director, CIAC Research Interests: Smart Cities, Intelligent Surveillance, Edge-Fog-Cloud Computing, IoT Security, and Privacy-Preserving Technologies. His work emphasizes real-time systems, resilient edge architectures, and decentralized consensus protocols for IoT. Grants & Awards: Funded by NSF, DoD, AFOSR, NYS MDPI Computers 2019 Best Paper Award Best Student Poster Award (IEEE AIPR 2014) Students & Labs: Advised 19 students (PhD/Master’s). Key projects include secure edge video processing, ENF-based authentication, and blockchain for IoT. The US2C Lab explores smart city applications and edge computing resilience.

• Finance
• Corporate Finance
• Innovation
• +۶ مورد دیگر

Jan Bena is an Associate Professor and Chair of the Finance Division at the Sauder School of Business, University of British Columbia. He holds dual PhDs in Finance (London School of Economics) and Economics (CERGE-EI). His research focuses on innovation, corporate finance, and entrepreneurship, with notable contributions to understanding corporate innovation dynamics, ownership structures, and the interplay between finance and global markets. He leads initiatives such as the Portfolio Management Foundation Program and advises the UBC SWIFT: Sauder Women in Finance Training Program. He also holds the Bank of Montreal Chair in International Finance. His research interests span corporate innovation (process and technological), decentralized finance (DeFi), private equity ownership structures, and the impact of global factors on firm behavior. He has developed influential datasets, including the Global Corporate Patent Dataset and Process Innovation Patent Dataset, which analyze innovation trends across industries and countries. His work frequently addresses topics like multinational corporation strategies, labor market interactions, and financial market dynamics. Key contributions include studies on how employment protection laws influence innovation, the propagation of economic downturns through multinational firms, and the long-term effects of foreign institutional ownership. His articles consistently address critical questions in corporate finance, combining theoretical models with empirical evidence from large datasets. He teaches courses on entrepreneurial finance and private equity, reflecting his expertise in these areas. Bena collaborates with leading institutions and scholars globally, contributing to both academic discourse and practical frameworks for financial decision-making. His work bridges theoretical innovation with real-world applications, influencing policy and business strategies in areas like sustainability, technological transition, and corporate governance.

Charles E. Leisersonمشاهده پروفایل

استاد

• Parallel Computing
• Performance Engineering
• Algorithms
• +۶ مورد دیگر

Charles E. Leiserson is a Professor of Computer Science and Engineering at MIT, holding the Edwin Sibley Webster Professorship in Electrical Engineering and Computer Science. He leads the Supertech Research Group and is Faculty Director of the MIT-Air Force AI Accelerator. His work focuses on parallel computing, performance engineering, and algorithms. Leiserson is renowned for co-authoring the foundational textbook Introduction to Algorithms , widely used in computer science education globally. He has pioneered technologies like the Cilk multithreaded programming language and contributed to supercomputing architectures such as the Connection Machine CM-5. His research bridges theoretical computer science with practical applications, emphasizing cache-oblivious algorithms and compiler optimizations. Leiserson has received multiple awards for his academic contributions and educational impact, including the ACM-IEEE Ken Kennedy Award and Margaret MacVicar Fellow distinction at MIT. Education: B.S., Yale University, 1975 Ph.D., Carnegie Mellon University, 1981 Research Interests: Leiserson’s work addresses performance engineering challenges in post-Moore’s Law computing. His group develops algorithms, software systems, and hardware strategies for scalable parallelism. Key areas include parallel programming frameworks (e.g., OpenCilk), cache-aware algorithms, and compiler optimizations. He emphasizes making parallel computing accessible to mainstream programmers through tools like Cilk and educational initiatives such as MIT’s Software Performance Engineering course. Projects & Leadership: Leiserson leads the Supertech Research Group and contributed to the Cilk Arts Inc. venture, acquired by Intel. He chairs the MIT Undergraduate Practice Opportunities Program (UPOP) and teaches courses on algorithms and discrete mathematics. His leadership workshops for faculty have educated hundreds worldwide on team management in academia. Awards & Recognition: 2014 ACM-IEEE Ken Kennedy Award IEEE Taylor L. Booth Education Award ACM Paris Kanellakis Theory and Practice Award Member of the National Academy of Engineering Labs & Teams: Active in MIT’s CSAIL, Leiserson collaborates through the Supertech Group and Theory of Computation communities. His current projects include Tapir compiler infrastructure, graph neural network applications for anti-money laundering, and deterministic parallel scheduling algorithms.

• Cyber Security
• Cyber-Physical Systems
• Formal Methods
• +۳ مورد دیگر

Samir Ouchani is a Research Director at the CESI LINEACT laboratory (Aix-en-Provence, France), affiliated with the CESI Engineering School. He holds a PhD in Computer Science from Concordia University (2013) and an HDR (Accreditation to Supervise Research) from CNAM Paris (2022). His research focuses on securing cyber-physical systems (CPS) through formal methods, blockchain, and AI-driven approaches. Key roles include leading projects on resilient CPS architectures, IoT security, and federated learning in industrial contexts. Education: 2022: HDR in Security and Reliability of Smart CPS (CNAM Paris) 2013: PhD in Computer Science (Concordia University, Montreal) 2006: Master in Computer Science (Lorraine University, France) 1997: Engineering Degree in Computer Science (Djillali Liabess University, Algeria) Research Interests: His work emphasizes secure CPS design, including cryptographic protocols for IoT, formal verification frameworks, and AI applications for intrusion detection. He explores blockchain for smart cities, federated learning in distributed systems, and resilience engineering for autonomous vehicles. Recent projects include developing PUF-based authentication protocols and digital twin architectures for resource-constrained systems. Advising & Collaborations: Supervised PhD theses on IoT security (Fahem Zerrouki), smart city formal verification (Walid Miloud Dahmane), and federated learning in industrial CPS (Souhila Bedra Guendouzi). Collaborates with institutions like Blida University (Algeria) and HESAM University. Active in conferences such as CRISIS, ICFNDS, and IEEE WETICE. Labs & Teams: Leads the Engineering and Numerical Tools research team at CESI LINEACT, focusing on model-based design, CPS simulation, and cybersecurity tool development. Engaged in EU-funded projects on Industry 4.0 and smart infrastructure security.

• Innovation Management
• Technology Transfer
• Digitalisation
• +۷ مورد دیگر

Robin Kleer is an Associate Professor of Innovation Management at Vlerick Business School in Leuven, Belgium. He serves as Programme Director for the Masters in Innovation and Entrepreneurship and Masters in General Management. Previously, he held positions at RWTH Aachen University (Habilitation), Technical University of Berlin (Professor of Technology and Innovation Management), and visiting roles at MIT, Michigan State University, and others. His research focuses on technology transfer, sustainable business models, digitalisation, additive manufacturing, and blockchain applications. He teaches innovation management, technology foresight, and executive education programmes like 'Growth through Innovation.' Education: Doctor in Economics (University of Würzburg, Germany) Habilitation (Post-Doc Degree) at RWTH Aachen University Degree in Business Engineering (University of Karlsruhe) Research Interests: Dr. Kleer explores the interplay between innovation, market structures, and business models. His work emphasizes sustainable practices in digitalisation, additive manufacturing (3D printing), and blockchain. He investigates how these technologies enable more sustainable business models and collaboratively oriented value creation. Key themes include degrowth theory, mass customization, and the societal implications of Industry 4.0. Grants & Labs: His research has addressed topics like modular smartphone design, recycling consortia dynamics (e.g., German Recyclate Forum), and computational reviews of customization literature. While specific grants aren’t detailed, his work frequently engages with interdisciplinary frameworks for sustainable degrowth and post-growth economics.