جست‌وجوی استاد و پژوهشگر

Edi Nuryatnoمشاهده پروفایل

مدرس ارشد

• Health Informatics
• Clinical Algorithms
• Digital Health
• +۳ مورد دیگر

Dr. Edi Nuryatno is a Senior Lecturer at The Adisutjipto Institute of Aerospace Technology and holds adjunct roles at National Institute of Technology and National Research and Innovation Agency. His primary affiliation is with The University of Western Australia. He specializes in Health Informatics, Clinical Algorithms, Digital Health, and Urban Health. Graduated with a PhD in MIS from Edith Cowan University, he has received prestigious awards including the 2024 Impact and Innovation Award and the iPREP WA Scholarship. Education: MIS, PhD - Doctor of Philosophy, Edith Cowan University Research Interests: Dr. Nuryatno’s work focuses on Health Informatics applications in clinical algorithms, digital health systems, and urban health management. His research integrates data science with healthcare operations, addressing challenges in medical asset tracking, vaccine distribution via blockchain, and AI-driven healthcare solutions. Recent projects include real-time arrhythmia detection and health passport systems. Publications: His recent work spans AI in healthcare asset management, blockchain for vaccine distribution, and YOLO-based medical imaging systems. These studies highlight trends in applying machine learning to improve healthcare logistics and diagnostic processes. Awards: Excellent in Research: 2024 High Commened - Impact and Innovation Award Industry and Research Engagement Program Western Australia (iPREP WA) International Postgraduate Research Scholarship (IPRS) - Edith Cowan University (ECU) Advising & Activities: Supervises Higher Degree by Research students at UWA. Actively contributes to global initiatives like the Asia-Europe AI Network (AE4AI), focusing on AI governance and sustainable development. Has delivered keynote speeches at international forums including the International Symposium on Medical Devices and Technology Innovation (2023). Labs/Teams: Collaborates with the UWA Medical School and leads projects under the AE4AI Network, emphasizing interdisciplinary AI applications in healthcare and urban systems.

M. Anwar Hasanمشاهده پروفایل

استاد

• Cryptography
• Computer Security
• Embedded Systems
• +۴ مورد دیگر

M. Anwar Hasan is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, where he has been a faculty member since January 1993. He was promoted to Associate Professor with tenure in 1998 and to full Professor in 2002. At Waterloo, he is also a member of the Centre for Applied Cryptographic Research, the Center for Wireless Communications, and the VLSI Research group. He previously spent 1992 as a post-doctoral fellow at the University of Victoria. Dr. Hasan received his B.Sc. and M.Sc. degrees in electrical and electronic engineering and computer engineering, respectively, from the Bangladesh University of Engineering and Technology in 1986 and 1988. He earned his Ph.D. in electrical engineering from the University of Victoria in 1992. His research focuses on cryptographic computations and embedded systems, dependable and secure computing, computer and network security, and computer arithmetic and architecture. His work has particularly emphasized efficient implementations of cryptographic algorithms, especially elliptic curve cryptography, with attention to side-channel attack resistance and fault tolerance. He has made significant contributions to finite field arithmetic, which forms the mathematical foundation for many cryptographic systems. Dr. Hasan's recent publications demonstrate continued leadership in cryptography, with work spanning traditional cryptographic implementations, post-quantum cryptography (particularly isogeny-based approaches), blockchain applications, secure multi-party computation, and hardware optimization for cryptographic operations. His research maintains a strong focus on both theoretical foundations and practical implementations. Raihan Memorial Gold Medal President's Research Scholarship (awarded four times at University of Victoria) Faculty of Engineering Distinguished Performance Award (2000) Outstanding Performance Award (2004) As a member of the Centre for Applied Cryptographic Research, Dr. Hasan has led numerous research projects in cryptographic hardware and software implementations. He served as an associate editor of the IEEE Transactions on Computers from 2000 to 2004 and has been involved in program and executive committees for several conferences. His research has been supported by various grants that have enabled him to supervise numerous graduate students and postdoctoral fellows, though specific grant details are not provided in the source material. Dr. Hasan's laboratory work has focused on implementing efficient and secure cryptographic systems, particularly examining side-channel attacks and developing countermeasures. His research team has produced numerous technical reports through the Centre for Applied Cryptographic Research (CACR) at Waterloo, demonstrating a sustained research program in cryptographic engineering.

• Digital Business Models
• Blockchain Technology
• Enterprise Architecture
• +۳ مورد دیگر

J Gordijn is an Associate Professor at the Faculty of Science, Vrije Universiteit Amsterdam (VU), affiliated with the Software and Sustainability (S2) department and the Network Institute. He holds dual roles as Director of Gordijn Holding BV and The Value Engineers since 2017. His research focuses on digital business models, blockchain technology, smart city requirements engineering, and ecosystem governance. He has contributed to over 128 publications, emphasizing value-driven design, platform revenue models, and decentralized governance frameworks. Research interests span digital transformation, including blockchain applications for fair ecosystems, business model innovation, and inter-organizational alignment. His work bridges theoretical models with practical implementations, such as the e3value framework for ecosystem design and the Decent domain-specific language for governance decisions. Recent studies include smart city requirements in Southeast Asia and scalability challenges in ICT4D contexts. Collaborations involve global institutions and industry partners, with a focus on sustainable development goals (SDGs). He teaches courses on ICT's role in global contexts and leads research initiatives on platform economics and blockchain governance. His datasets, like the platform revenue model taxonomy, are publicly accessible via Zenodo. Notable contributions include pioneering work on service value networks, business-IT alignment, and automated service configuration. His research methodologies combine empirical studies with conceptual modeling to address complex systemic challenges in digital ecosystems.

• Blockchain Technology
• Distributed Ledger Systems
• Decentralized Governance
• +۴ مورد دیگر

Fadime Kaya is a Research Fellow at the Faculty of Science , Vrije Universiteit Amsterdam , affiliated with the Software and Sustainability (S2) group and the Network Institute . Her work focuses on decentralized governance models and blockchain applications. Her research spans Blockchain , Distributed Ledger Technology , and Decentralized Governance , with applications in digital ecosystems, renewable energy, and healthcare. She has contributed to 8 peer-reviewed publications, including a PhD thesis on model-based governance design. Recent outputs include ontological frameworks for Central Bank Digital Currency and Decentralized Energy Systems , alongside decision-tree models for blockchain adoption. She co-organized the IEEE Workshop Towards Decentralized Governance Design (2022). Education : MSc

• Computer Hardware Design
• Smart Cities
• Cybersecurity
• +۶ مورد دیگر

Dr. Issam Damaj is a Senior Lecturer in Computer Science at Cardiff Metropolitan University's Department of Applied Computing and Engineering. He holds a PhD from London South Bank University (2004), an MSc from the American University of Beirut (2001), and a BSc from Beirut Arab University (1999). His academic journey includes 17 years in professorial roles across universities in Lebanon, Kuwait, and Oman. Research & Expertise Fields of Interest: Hardware design, smart cities, cybersecurity, electric vehicles, and technical education. Key Projects: FPGA implementations of chaotic systems, vehicular network caching, and sustainable e-mobility infrastructure. Leadership Roles: ABET Program Evaluator, IEEE Senior Member, and founding counselor of the AUK IEEE Student Branch. Recent Research Trends His recent work spans intelligent systems for healthcare hygiene, cybersecurity in multinational operations, and FPGA-optimized algorithms. Themes include IoT-driven solutions, blockchain integration for recommendations, and sustainable energy systems. Recognition & Awards Recipient of multiple awards in mentoring, research, and academic distinction. Second Place in the Best Student Branch Award (2017, AUK IEEE). Collaborations & Impact Dr. Damaj collaborates with global institutions and industries to bridge academic research with real-world applications in engineering education and technology innovation.

Rakan Aldmourمشاهده پروفایل

مدرس ارشد

• Mobile Cloud Computing
• Internet of Things (IoT)
• Risk Assessment
• +۳ مورد دیگر

Rakan Aldmour is a Senior Lecturer at Staffordshire University's School of Digital, Technologies and Arts and Course Leader for MSc Business Computing. He teaches courses such as Enterprise Systems, Managing Emerging Technologies, and Research Methods, while supervising PhD and MSc students. His research focuses on Mobile Cloud Computing, IoT systems, Risk Assessment, Digital Transformation, and Blockchain, with notable contributions to cybersecurity frameworks for IoT-SCADA systems and smart city initiatives through his internship at the UAE Telecommunication Regulatory Authority. Rakan holds a PhD in Mobile Cloud Computing from Anglia Ruskin University, an MSc in Management Information Systems, and a BSc in Software Engineering, complemented by certifications including MCSE, TOGAF, and CCNA. His professional expertise spans Software Engineering, Business Models, IT Management, and Cloud Computing. He has secured £400,000 in grants through Staffordshire Digital Innovation Partnerships (SDIPs) and contributed to projects like the PETRAS National Centre for IoT Cybersecurity. His work emphasizes practical applications of technology in education, healthcare, and urban development, with publications addressing energy-efficient mobile cloud models, intrusion detection systems, and blockchain-based solutions for transparency and integrity.

Yuzhe Tangمشاهده پروفایل

دانشیار

• Cybersecurity
• Systems Security
• Decentralized Systems
• +۷ مورد دیگر

Yuzhe Tang is an Associate Professor in the Department of Electrical Engineering and Computer Science at Syracuse University. His research focuses on cybersecurity, systems security, and decentralized systems such as blockchains and smart contracts. He holds a Ph.D. in Computer Science from Georgia Institute of Technology and M.Sc. and B.Sc. degrees from Fudan University. Professor Tang's research mission involves securing digital infrastructures, particularly in emerging domains like decentralized systems. His work addresses challenges in vulnerability discovery, formal security analysis, and performance optimization. He leads projects funded by the National Science Foundation, Ethereum Foundation, and industry partners, with notable grants including Ethereum Foundation Awards (2022–2025) and an Air Force Research Lab grant (2017). Key research contributions include groundbreaking studies on Ethereum mempool security, blockchain DoS mitigation, and cost-effective transaction batching (iBatch). His work has led to patches in the Ethereum Go client (Geth) and collaborations with industry partners like CertiK and Chainlink. Tang advises Ph.D. students in cybersecurity and blockchain research, with notable alumni including Kai Li (San Diego State University) and Yibo Wang (University of Wyoming). Teaching responsibilities include courses on computer security, blockchain foundations, and systems programming. Tang also develops educational labs (BADD Labs) for blockchain security and contributes to conferences as a program committee member for top venues like IEEE S&P, CCS, and NDSS. His honors include Best Paper Awards at Cluster/Cloud and Grid Computing (2015) and Cloud Computing (2012).

• Artificial Intelligence
• Computer Architecture
• Cybersecurity
• +۴ مورد دیگر

Dr. Carlos Molina-Jimenez is a Researcher in the Department of Computer Science and Technology at the University of Cambridge. His work focuses on advancing secure integration processes, smart city technologies, blockchain applications, and enterprise systems. He is affiliated with the university's research groups in Machine Learning, Computer Architecture, and Cybersecurity. His research emphasizes practical implementations of smart contracts, decentralized systems, and resilient cloud architectures. Key interests include improving reproducibility in scientific experiments, enhancing urban sustainability through IoT, and developing tools for contract specification in enterprise contexts. Recent projects include designing smart city frameworks using open-source and decentralized technologies, creating secure API integration systems, and deploying blockchain solutions for preclinical research transparency. His work bridges theoretical computer science with real-world applications in urban planning, healthcare, and multinational enterprise systems. Publications highlight contributions to hybrid smart contracts, trusted execution environments for digital services, and frameworks for quantifying risks in cloud migrations. He has developed tools like Jabuti CE for smart contract specification and explored innovative approaches to algorithmic governance using hybrid contracts. While no formal awards are listed, his research demonstrates significant contributions to both academic and applied domains, particularly in the intersection of cybersecurity and urban informatics.

Jiangshan Yuمشاهده پروفایل

دانشیار

• Blockchain Systems and Applications
• Cybersecurity
• Dependable Computing
• +۶ مورد دیگر

Dr. Jiangshan Yu is an Associate Professor at the University of Sydney's School of Computer Science, Director of the Sydney Blockchain Centre, and Australian Representative for IFIP TC 10. He holds a PhD from the University of Birmingham and has held academic roles at Monash University. His research focuses on cybersecurity, dependable computing, and blockchain systems, emphasizing privacy, fault tolerance, and scalable infrastructure. Education: PhD in Computer Science, University of Birmingham (UK) Postdoc at University of Luxembourg under Prof. Paulo Esteves-Verissimo Research Interests: Blockchain systems, fault tolerance, consensus algorithms, applied cryptography, and user privacy. He designs robust infrastructures leveraging blockchain, cryptography, and decentralization to address real-world security challenges. Recent Articles Trends: Focus on privacy-preserving protocols (e.g., Posterior Security), consensus mechanisms (e.g., Achilles BFT), and scalability solutions (e.g., Mosaic sharding framework). His work bridges theoretical advancements with practical implementations. Awards: IEEE Technical Achievement Award (2024) ARC DECRA Fellowship (2021) IBM Academic Award (2020) Chinese Government PhD Award (2016) Advising & Grants: Supervises multiple PhD students and leads projects totaling $10M+ (e.g., Algorand Centre of Excellence). Active in grants like ARC DP220101234 for privacy-preserving blockchain. Labs/Teams: Directs the Sydney Blockchain Centre and collaborates with global initiatives like the IFIP WG 10.4 working group on dependable computing.

Alexandre Tolstenkoمشاهده پروفایل

استادیار

• Artificial Intelligence
• Algorithms
• Smartcontracts
• +۷ مورد دیگر

Alexandre Tolstenko is an Assistant Professor in the Computer Science & Innovation program within the Division of Information Technology & Sciences at Champlain College. He joined the institution in 2022 after a successful 15+ year career in the software industry. His educational background includes a BS in Computer Engineering from UNICAMP and an MS in Computer Science from UFPI, both institutions in Brazil. Dr. Tolstenko specializes in artificial intelligence, algorithms, smart contracts, blockchain technology, and game development. His research shows a strong focus on big data clustering algorithms, particularly DENCLUE variants and MapReduce frameworks. His work spans academic research and practical industry applications, with publications covering density-based clustering methods, sentiment analysis, natural language processing, and security topics. His research publications demonstrate a progression from fundamental clustering algorithms to practical applications in big data analytics, with recent work focusing on distributed computing frameworks for handling large-scale data problems. The publications also show interdisciplinary work connecting computer science with applications in digital forensics, Arabic language processing, and faculty hiring systems. Unity Awards Finalist 2012 Best paper award on SAE Aerodesign 2014 Best paper award on international Coloproctology journal 2017 Featured Startup on Innovativa Brazil 2018 With over 250 million product downloads across his industry career, Dr. Tolstenko brings substantial practical experience to his academic role, having served as developer, architect, and CTO in startup environments. His industry work includes implementing multiplayer networking for racing games, developing blockchain technology for NFT platforms, and porting game engines across multiple platforms. He maintains active research and development through his personal website, GitHub repositories, and the InfiniBrains blog, focusing on game development resources and emerging technologies.

Ralf Tönjesمشاهده پروفایل

استاد

• Mobile Communication Networks
• Internet of Things (IoT)
• Data Security
• +۴ مورد دیگر

Ralf Tönjes is a Professor of Mobile Communications and Project Management at Osnabrück University of Applied Sciences , leading the Mobile Communications Working Group . His affiliation is under the Faculty of Engineering and Computer Science . Previously, he held roles at Ericsson Corporate Research and earned a doctorate summa cum laude in Electrical Engineering from the University of Hanover (1998). He holds dual degrees: a Dipl.-Ing. in Electrical Engineering/Communications (University of Hanover, 1989) and an M.Phil. in Biomedical Engineering (University of Strathclyde, Glasgow, 1990). Research Focus: Mobile communication networks, IoT applications in Industry 4.0/smart cities, data security, and service platforms. Key areas include 5G networks, network synchronization, and secure IoT device configurations. He chairs conferences like the VDE/ITG Mobile Communications Conference (since 2005) and contributes to standardization bodies such as the ITG Technical Committee 5.2. Patents & Innovation: Holds patents on cellular radio network design, multicast transmission protocols, and IoT broadcast systems. Notable projects include OPeRAte (IoT-based cooperative farming) and CityPulse (smart city data analytics). Awards & Leadership: Recognized for his doctoral achievement and as a founding member of the Lower Saxony Data Protection Center (NDZ) . Active in industry partnerships, including the Agricultural Industry Electronics Foundation (AEF) and the iuk Business Network Osnabrück . Teaching: Offers courses on mobile communications, IoT, telematics, and project management across B.Sc./M.Sc. programs in Electrical Engineering and Computer Science. Future Work: Focused on advancing 5G/6G networks, secure IoT deployments, and resilient agricultural process management using BPMN and blockchain technologies.

David Wagnerمشاهده پروفایل

استاد

• Digital Strategy
• Digital Innovation
• Digital Transformation
• +۳ مورد دیگر

David Wagner is a Professor of International Business and Digital Business at Munich Business School, serving as Academic Director for the Doctor of Business Administration (DBA) program and Vice Dean for Research. He teaches courses in digital strategy, innovation, and transformation, with a focus on online communities, social media, and strategic management. His research explores how organizations leverage digital technologies for value creation and innovation, particularly in social media and online communities. He has been recognized with the MBS Teaching Award (2022) and Research Award (2023). Wagner holds a doctoral degree from the European University Viadrina and has held visiting scholar positions at McGill University. His career spans academia, international economic development, and consulting roles in technology and digital business. He advises on digital transformation strategies for private and public sector organizations. Key research areas include digital transformation strategies, brand communities in sports, and the impact of information technology on knowledge creation. He regularly publishes in academic journals like WiSt and International Journal of Sport Communication , and presents at conferences worldwide. His work emphasizes practical applications of digital tools in business, education, and cultural sectors. Wagner supervises doctoral students in areas like blockchain-based ecosystem strategies, shared services innovation, and data product development. His interdisciplinary approach bridges theoretical insights with real-world business challenges, focusing on adaptive organizational strategies in the digital age.

Michael Coreyمشاهده پروفایل

استاد مهمان

• Responsible AI
• Privacy-Preserving Technologies
• Blockchain Applications
• +۷ مورد دیگر

Michael Corey is a Visiting Professor at Bennington College, specializing in ethical AI, privacy, blockchain, and user-centered technology development. With a background in sociology, he bridges technical innovation with social science principles. Previously, he co-founded Facebook's Demography and Survey Science team and held roles in ads, responsible AI, and diversity hiring. He holds patents in blockchain privacy and automated advertising optimization. Corey emphasizes foundational technical skills paired with critical analysis of technology's societal impact in his teaching. Education: Graduate studies at University of Chicago, London School of Economics, and Oxford University Undergraduate degree designed by Corey at Ithaca College His research focuses on: Responsible AI frameworks and fairness in machine learning systems Blockchain applications for privacy preservation in data sharing Social science methodologies including time-diary data and work-life balance studies Addressing algorithmic bias in advertising delivery systems Professional contributions include: Patented blockchain systems for secure data collaboration Mechanisms for automated ad quality prediction Teaching roles at Cornell Tech and DePaul University Consulting on Responsible AI practices Corey's work balances technical innovation with rigorous social analysis, advocating for human-centered technology development.

Zhixiong Chenمشاهده پروفایل

استاد

• Cybersecurity
• Cryptography
• Blockchain Technology
• +۶ مورد دیگر

Zhixiong Chen is a Professor in the Department of Mathematics and Computer Science at Mercy College, where he also serves as Director of the Mercy Cybersecurity Education Center and the primary Point of Contact (PoC) for the NSA Center of Academic Excellence (CAE). He pioneered Mercy’s Cybersecurity degree programs in 2007 and established the Cybersecurity Education Center in 2010. His academic leadership roles include Department Chair and Program Director for undergraduate and graduate Cybersecurity programs. Dr. Chen holds a PhD in Mathematics and MS in Computer Science from the University of Pittsburgh, along with MS and BS degrees in Mathematics from Shanghai Jiao Tong University. His research focuses on cybersecurity, cryptography, blockchain technology, AI-powered bot security, and network security, with over 50 peer-reviewed publications. He has directed NSF, DHS, DoD, and NIH-funded projects, emphasizing blockchain-based trust mechanisms and cybersecurity education innovations. His teaching spans cybersecurity, computer science, and mathematics, including cryptography, AI/ML, database systems, and calculus. He also serves as an IBM-certified instructor in blockchain and data science. Professional affiliations include senior membership in IEEE and ACM, and roles as NSF grant reviewer and New York State Cyber Security Advisory Board expert. His research trends reflect a strong emphasis on emerging technologies like AI and blockchain, with recent work addressing cybersecurity education, privacy-preserving systems, and secure ID management. He actively contributes to academic conferences as program chair and committee member, furthering interdisciplinary collaboration in computing and security fields.

Julia Krönungمشاهده پروفایل

استاد

• Digital Diversity
• Socio-technical Information Systems
• E-Government
• +۵ مورد دیگر

Overview Dr. Julia Krönung is a University Professor at FernUniversität in Hagen's Faculty of Business Administration and Economics, leading the Business Information Systems Group (BIGSI). She previously held academic roles including Head of the Information Systems Chair at EBS Business School (2019-2022) and Assistant Professor at the University of Mannheim (2014-2019). Her research focuses on digital diversity, e-government solutions, and inclusive design of socio-technical systems. Educational Background PhD in Business Informatics (2014), Goethe University Frankfurt Diploma in Business Administration (2009), Goethe University Frankfurt Research Interests Prof. Krönung's work addresses critical societal challenges through technology, including: Designing accessible systems for digitally disadvantaged groups Ethical implications of process data and AI Reducing stigma in digital government services Age-related IT adoption barriers Blockchain applications in industry Professional Contributions She serves on editorial boards for leading journals and reviews for major conferences like AMCIS and ECIS. Her team's work has been presented at top venues including Hawaii International Conference on System Sciences and International Conference on Information Systems. Labs & Collaborations As head of BIGSI, she leads interdisciplinary projects involving industry partners to develop innovative solutions addressing digital inclusion and ethical technology deployment.