جست‌وجوی استاد و پژوهشگر

• Algorithms and Complexity
• Parallel and Distributed Computing
• Fault-tolerance and Dependability
• +۲ مورد دیگر

Chryssis Georgiou is a Professor and Chair of the Department of Computer Science at the University of Cyprus. He holds a B.Sc. in Mathematics from the University of Cyprus (1998) and a Ph.D. in Computer Science and Engineering from the University of Connecticut (2003). His research focuses on Algorithms and Complexity, Parallel and Distributed Computing, and Fault-tolerance, with over 115 publications. He has served as General Chair of PODC 2015 and Chair of the Steering Committee of ACM PODC (2021-2024). His work is funded by the European Commission and the Cyprus Research and Innovation Foundation. Research interests span distributed systems, blockchain principles, and algorithmic mechanisms. He has led projects such as ESS-BFT (Byzantine Fault-Tolerant Blockchain) and COLLABORATE (fault-tolerant distributed storage). His advising includes numerous doctoral, master’s, and bachelor’s students in areas like machine learning and distributed systems. He co-authored books on Distributed Cooperative Computing and Blockchain systems. Notable roles include Editorial Board member of Information Processing Letters (2018-2023) and participation in EU-funded projects like AEOLUS and DELIS. His labs include the Research Laboratory for Foundations of Computing Systems and Theoretical Computer Science. Current projects involve fault-tolerant storage and machine learning applications in healthcare.

Rehab Aliمشاهده پروفایل

عضو هیئت علمی

• Supply Chain Management
• Healthcare Systems
• Blockchain Technology
• +۴ مورد دیگر

Rehab Ali is an Assistant Teaching Professor in the Department of Mechanical & Industrial Engineering at Northeastern University's College of Engineering. She holds a PhD in Industrial Engineering from the University of Central Florida (2021), an M.Sc. in Management of Technology from Nile University (2015), and a B.Sc. in Industrial Engineering from Fayoum University (2009). Her research focuses on healthcare systems, blockchain technology applications, supply chain optimization, machine learning, lean manufacturing, quality management, and simulation modeling. Prof. Ali has prior experience as an adjunct faculty member at the University of Central Florida and is a certified Project Manager and Quality Manager. She currently serves as a reviewer for the International Journal of Physical Distribution & Logistics Management . Her professional affiliations include INFORMS and IISE. Her teaching expertise spans Quality Management, Simulation and Modeling, Engineering Probability and Statistics, and Operations Research. Research trends in her publications emphasize blockchain integration in supply chains, lean manufacturing metrics, and dynamic production system analysis. No specific grants or advising records are listed in the provided materials. She contributes to academic communities through journal reviewing and maintains active involvement in professional engineering societies.

• Microfluidics
• Lab-on-a-Chip Technologies
• Biomedical Diagnostics
• +۴ مورد دیگر

Prof. Jens Ducrée is a Full Professor of Microsystems in the School of Physical Sciences at Dublin City University (DCU). He is the founding director of FPC@DCU, Ireland’s first Fraunhofer Project Centre for Embedded Bioanalytical Systems, established with Science Foundation Ireland and Fraunhofer-Gesellschaft. He is also an academic member of the National Centre for Sensor Research (NCSR), the 3U Joint Institute of Global Health (JIGH), and a principal investigator at Biodesign Europe (BDE). His research focuses on microfluidic systems for bioanalytical protocols, with applications in biomedical diagnostics, environmental monitoring, biopharma, and agrifood. He explores blockchain integration to democratize science and RTD, leveraging technologies like AI and IoT. Education: Dr. Ducrée holds a Master’s and PhD in Physics. Prior to DCU, he was an Associate Professor and led groups at HSG-IMIT and the University of Freiburg’s IMTEK. Research Interests: Development of Lab-on-a-Chip platforms for automation and miniaturization of bioassays Microfabrication techniques for polymer-based systems Integration of disruptive technologies like blockchain, digital twins, and crowdsourcing into scientific workflows Scientific Awards: 2006 FAM-award for Microsystems Excellence (University of Freiburg) 2016 President’s Researcher of the Year (DCU) 2019 AET Fellow (International Academy of Engineering & Technology) Advising & Grants: Supervised 11 PhD, 28 MSc (Research), and 16 MSc (Taught) students, along with numerous undergraduate researchers. Secured over €60M in research funding, including €15M directly for his groups/centres. His work has led to patents, startups, and successful commercialization of microfluidic technologies. Labs/Teams: Directs FPC@DCU and collaborates with NCSR, JIGH, BDE, and international blockchain consortia (e.g., bloxberg, GBA). Active in ISO TC 307 mirror committees and Frontiers in Blockchain editorial roles.

Michael McGuireمشاهده پروفایل

استادیار

• Computer Science
• Data Mining
• Environmental Informatics
• +۳ مورد دیگر

Michael McGuire is an Assistant Professor in the Department of Computer and Information Sciences at Towson University's College of Science and Mathematics. He holds a Ph.D. in Information Systems from the University of Maryland, Baltimore County (2010), with supporting degrees in Information Systems (MS, 2005) and Geography & Environmental Planning (BS, 1996). Education: Ph.D. & MS in Information Systems (UMBC), BS in Geography (Towson) Department: Computer and Information Sciences School: College of Science and Mathematics Email: mmcguire@towson.edu His research focuses on spatio-temporal data mining , sensor database systems , and environmental informatics applications. Current work examines deep learning approaches for climate prediction , including convolutional neural networks for tornado day forecasting and transformer models in hurricane intensity analysis. Earlier publications explore information visualization through eye-tracking studies and multi-criteria decision systems for route planning. Recent publications highlight machine learning applications in environmental contexts, with 2024 studies on knowledge graphs and 2023 work on federated learning . The 2022 tornado prediction papers demonstrate CNN capabilities in meteorological modeling, while 2021 eye-tracking research shows feature engineering approaches for visual processing tasks. Dr. McGuire's technical expertise spans distributed database systems , cloud computing architectures , and human-computer interaction through eye gaze analysis. His 2018-2020 publications compare SQL/NoSQL storage for climate data and develop safe route planning algorithms using Fuzzy TOPSIS and other decision frameworks.

Akhil Kumarمشاهده پروفایل

استاد

• Blockchain Technology
• Business Process Management
• Process Mining
• +۲ مورد دیگر

Akhil Kumar is Professor of Supply Chain & Information Systems at Penn State's Smeal College of Business, with research spanning blockchain applications, process mining, and healthcare informatics. His work develops analytical frameworks for business process optimization and compliance management. Publications demonstrate theoretical contributions to workflow management systems and practical applications in supply chain transparency. Recent blockchain research evaluates technical feasibility in commercial logistics networks. He received the Fulbright Scholar Award and INFORMS best paper recognition, and serves as associate editor for ACM Transactions on Management Information Systems.

Najam Ul Hasanمشاهده پروفایل

مدرس ارشد

• Internet of Things (IoT)
• Wireless Sensor Networks
• 5G/6G Networks
• +۷ مورد دیگر

Dr. Najam Ul Hasan is a Senior Lecturer at the Department of Computing, Sheffield Hallam University. He holds a PhD in Information and Communication Engineering from Sejong University (2014), and prior roles included Assistant and Associate Professor at Dhofar University (2015–2020). His expertise spans IoT, 5G/6G networks, mobile edge computing, and machine learning, with applications in smart cities, disaster management, and healthcare. He has authored over 40 Web of Science-indexed papers and 25 IEEE conference papers, with 1,100+ citations (h-index 18). Awards include IEEE Senior Member and Fellow of Advance HE. Education: B.Sc. & M.Sc. in Computer Engineering (2006–2008), University of Engineering and Technology & NUST, Pakistan Ph.D. in Information and Communication Engineering (2014), Sejong University, South Korea Research & Expertise: IoT, Wireless Sensor Networks, 5G/6G, Mobile Edge Computing Applications: Smart Cities, UAVs for Disaster Management, Remote Healthcare Blockchain in Healthcare (e.g., SHealth system), Fraud Detection Teaching: Modules: Computer Programming, IoT Systems, Foundations in Computing Program Design, Quality Assurance, Academic Management Awards & Grants: Secured grants for IoT projects in smart cities, agriculture, and UAV-based disaster management Lead Research Committee at College Level Labs & Collaborations: Research Assistant at MINES Lab (Sejong University) Researcher at Multidimensional Insight Lab (Yonsei University)

• Computer Vision
• Artificial Intelligence (AI)
• Distributed Ledger Technology (DLT)
• +۵ مورد دیگر

John Collomosse is a Professor of Computer Vision and AI at the University of Surrey, leading DECaDE (UKRI/EPSRC Centre for the Decentralised Digital Economy) and the Centre for Vision, Speech and Signal Processing (CVSSP). He also serves as a Principal Scientist at Adobe Research, managing the Cross-Modal Representation Learning (XRL) group. His research focuses on AI, Distributed Ledger Technology (DLT), media provenance, and blockchain applications to combat misinformation and enhance data integrity. Collaborations include the Content Authenticity Initiative (CAI) and the ARCHANGEL project, which pioneered AI and blockchain for tamper-proof archives. He holds a PhD, is a Fellow of the IET, and has advised UK/EU bodies on digital economy policies. His work bridges academia and industry, with contributions to generative AI, watermarking, and decentralized systems. Publications span content authenticity, style transfer, and generative models. Awards include a 2024 prestigious fellowship. His labs include Surrey Institute for People-Centred AI (PAI) and DECaDE, fostering interdisciplinary research in AI ethics, provenance, and digital economy frameworks.

Peng Zhangمشاهده پروفایل

دانشیار

• Distributed Ledger Technologies
• Healthcare Interoperability
• Data Science Education
• +۳ مورد دیگر

Peng Zhang is an Associate Professor of the Practice of Computer Science at Vanderbilt University's School of Engineering, serving as Director of Graduate Studies for the Online MS Degree Program in Computer Science. His research focuses on distributed ledger technologies, healthcare interoperability, and data science education. He holds a leadership role in advancing interdisciplinary applications of blockchain and AI in healthcare systems. Education details are not explicitly provided in the text, but his academic roles suggest advanced qualifications in computer science and related fields. His research portfolio emphasizes blockchain-based healthcare solutions, including decentralized identity frameworks, interoperable data exchange, and generative AI applications in medicine. Notable projects include HealthBridge and FHIRChain, which address challenges in rare disease management and clinical data sharing. Articles from 2021–2024 highlight trends in blockchain-driven healthcare systems, generative AI in clinical contexts, and privacy-centric data architectures. These works underscore his contributions to improving healthcare interoperability through decentralized technologies and advancing patient-centered data management. No scientific awards are explicitly mentioned, but his active publication record reflects recognition within his field. His educational leadership shapes online graduate programs focused on modern computing challenges. While specific grants or lab affiliations are not detailed, his research collaborations likely involve interdisciplinary teams addressing healthcare IT and data science. His work bridges academic research with practical applications in medical technology and distributed systems.

Vikram Kapilaمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Digital Health
• +۴ مورد دیگر

Vikram Kapila is a Professor of Mechanical and Aerospace Engineering at New York University's Tandon School of Engineering, serving as Director of the Ph.D. Hub. His research focuses on robotics, control systems, digital health, and STEM education. He holds a B.Tech from Regional Engineering College (India), M.S. from Florida Institute of Technology, and Ph.D. from Georgia Institute of Technology. Professor Kapila’s work bridges robotics, AI, and blockchain with applications in healthcare and education. He leads the Mechatronics, Controls, and Robotics Lab, emphasizing hands-on learning and technology integration. His grants include NSF support for projects like wearable sensors for rehabilitation and remote control systems for dialysis machines. He has mentored numerous Ph.D. and master’s students and received awards such as the Jacobs Excellence in Education Award (2011, 2008, 2002) and NYU-Poly’s Leadership Award (2012). His research spans exergames for movement assessment, tele-rehabilitation, and robotics in K-12 education. Collaborations include projects with Johns Hopkins University and clinical partners. He advocates for inclusive STEM education and has contributed to professional development programs for educators.

Thomas Puschmannمشاهده پروفایل

پژوهشگر

• FinTech
• Sustainable Finance
• Blockchain Technology
• +۳ مورد دیگر

Thomas Puschmann is a Researcher at the University of Zurich's Department of Finance and concurrently holds a Professorship at the University of the Fraser Valley in Vancouver, Canada. He serves as Director of the Swiss FinTech Innovation Lab, focusing on advancing digital finance solutions. His teaching includes courses like 'FinTech & InsurTech – Digitization of the Financial Services Industry' (starting October 2025). His research spans FinTech, sustainable finance, blockchain technologies, and climate change mitigation in financial systems. Education & Affiliations: PhD (Dr. title) Affiliated with the University of Zurich and University of the Fraser Valley Research Interests: FinTech Innovation & Regulatory Frameworks Blockchain Applications in Finance Sustainable Digital Finance Taxonomies Climate Change Mitigation via Financial Mechanisms BigTech's Impact on Financial Services Publications Trends: Recent work emphasizes green fintech research agendas, decentralized finance taxonomies, and the transformative role of technology in reshaping global financial systems by 2030. His 2024 Springer publication 'Financial System 2030' explores digitalization and regulatory dynamics. Advising & Grants: No formal advisees listed; however, his lab fosters collaborative research projects with industry partners. Funding sources include academic and private sector collaborations. Labs & Teams: Leads the Swiss FinTech Innovation Lab, a hub for applied research in digital finance innovation, bridging academia and industry.

Kishore Thapliyalمشاهده پروفایل

پژوهشگر ارشد

• Quantum Optics
• Photonic Quantum Technology
• Quantum Information Processing
• +۵ مورد دیگر

Kishore Thapliyal is a Research Fellow at the University of Oslo, Norway, and previously held the same position at Palacky University in the Czech Republic. His research focuses on theoretical aspects of quantum optics, photonic quantum technology, and quantum information processing. Key areas include nonclassical state generation, entanglement quantification, decoherence suppression, and applications in quantum communication and cryptography. He collaborates with experimentalists to design models for multimode optical field experiments and explores non-Hermitian physics for quantum sensing enhancement. His academic journey includes postdoctoral roles since 2018, with a strong emphasis on advancing theoretical frameworks for quantum systems. Research interests span non-Hermitian dynamics, quantum resource optimization, and secure multiparty computation. He is affiliated with the Solid-state Physics and Quantum Technology research group at the University of Oslo. While no scientific awards are explicitly mentioned, his contributions to quantum photonics and theoretical models have been published extensively. Collaborations with experimental groups highlight his interdisciplinary approach to bridging theory and application in quantum technologies.

Thanasis Korakisمشاهده پروفایل

عضو هیئت علمی

• Wireless Networks
• Access Layer Protocols
• Cooperative Networks
• +۷ مورد دیگر

Thanasis Korakis is a Research Assistant Professor in the Electrical and Computer Engineering Department at NYU Tandon School of Engineering, affiliated with the Center for Advanced Technology in Telecommunications (CATT). He holds a Ph.D. in Computer and Communication Engineering from the University of Thessaly and has been involved in visiting research roles at UC Riverside and CATT. His research focuses on wireless networks, with an emphasis on access layer protocols, cooperative networks, directional antennas, and QoS provisioning. Education: Bachelor of Technology in Informatics, University of Athens (1994) M.S. in Data Networks and Telecommunications, University of Athens (1997) Ph.D. in Computer & Communication Engineering, University of Thessaly (2005) Research Interests: Dr. Korakis’ work spans experimental testbeds (e.g., Witest Lab), 802.11/802.16 standardization, and implementation of cooperative MAC protocols. His contributions include frameworks for cooperative handoff in wireless mesh networks, MAC protocols leveraging directional antennas, and dynamic rate adaptation for video multicast. Recent work explores 5G V-RAN reliability, AI-driven security systems, and IoT testbeds. Publications: His articles cover topics like 5G network optimization, blockchain applications in telecom, and AI in forensic investigations. Notable trends include experimental validation of network functions, security-enhanced systems, and cross-layer protocol design. Scientific Awards: Ericsson Award of Excellence in Telecommunications (2006) Advising & Grants: He leads the Witest Lab and has served on technical committees for ICC, WCNC, and SECON. His work includes grants related to wireless testbeds and standardization efforts. Collaborations involve institutions like CATT and NYU’s Tandon School. Labs & Teams: He directs the Wireless Implementation Testbed Laboratory (Witest Lab), focusing on real-world experimentation with wireless protocols and technologies.

Rei Safavi-Naeiniمشاهده پروفایل

استاد

• Information-Theoretic Security
• Quantum-Safe Cryptography
• Distributed Ledger System Security
• +۳ مورد دیگر

Rei Safavi-Naeini is a Professor in the Department of Computer Science at the University of Calgary. She is a Fellow of the International Association for Cryptologic Research (IACR) and held former leadership roles as Co-Founder and Director of the Institute for Security, Privacy and Information Assurance (ISPIA) until December 2018. Previously, she served as a Professor and Director of the Telecommunication and Information Technology Research Institute at the University of Wollongong, Australia. Educational Background: PhD in Electrical Engineering from the University of Waterloo, Canada. Her research focuses on information-theoretic security, quantum-safe cryptography, distributed ledger systems, cloud security, and IoT security. She has over 400 peer-reviewed publications and has held editorial roles at IEEE Transactions on Information Theory, ACM Transactions on Information and System Security, and others. She has chaired major conferences such as Crypto 2012 and ACNS 2013. Awards include prestigious chairs in information security and recognition as an IACR Fellow. She has contributed to academic leadership through roles in research institutes and editorial boards.

Shujie Cuiمشاهده پروفایل

مدرس

• Applied Cryptography
• Cloud Computing Security
• Distributed Systems Security
• +۳ مورد دیگر

Dr. Shujie Cui is a Lecturer in the Department of Software Systems & Cybersecurity at Monash University's Faculty of Information Technology. They hold a PhD in Computer Science from the University of Auckland (2019) and previously conducted postdoctoral research in the Large-Scale Data & Systems (LSDS) group at Imperial College London. Their research focuses on applied cryptography, cloud computing security, trusted execution environments, and privacy-preserving machine learning. Notable collaborations include projects on quantum information technology applications, privacy-preserving machine learning, and sustainability informatics for the Pacific. Current research interests span blockchain-based energy trading systems and unbiased recommendation algorithms. They are actively involved in supervising PhD students and contributing to interdisciplinary initiatives such as the Algorand Centre of Excellence. Key projects include the Quantum Information Technology: Industry Readiness & Applications (2023-2027) and CSIRO Privacy-Preserving Machine Learning (2023-2027). Their work emphasizes practical cryptographic solutions for modern distributed systems and emerging technologies. Dr. Cui's research has produced impactful publications in areas like privacy-preserving face recognition (CryptoMask) and fault-tolerant blockchain-based search mechanisms. These contributions highlight their expertise in balancing security, privacy, and computational efficiency in complex systems.

• Decentralized Online Social Networks
• Blockchain Technology
• NFTs and the Metaverse
• +۳ مورد دیگر

Barbara Guidi is an Associate Professor at the Department of Computer Science, University of Pisa. Her research focuses on Decentralized Online Social Networks, Blockchain Technology, NFTs, and the Metaverse. She is a founding member of IEEE METASIG (IEEE SIG on Metaverse) and collaborates with the IEEE Social Networks Technical Committee. Dr. Guidi has led projects like HELIOS under the H2020 initiative and serves on editorial boards for journals such as Plos One and IEEE Access. Her work explores blockchain applications in social media, economic dynamics in decentralized platforms, and bot detection in Web3 environments. Education: She studied at the Department of Computer Science, University of Pisa. Research interests include peer-to-peer networks, decentralized storage, and social network analysis. She has advised students on topics like Blockchain Technology applied to Social Media and NFT/Metaverse integration. Key contributions include frameworks like AWESOME for Web3 social media analysis and studies on Axie Infinity's economic models. She actively participates in workshops like OASIS, addressing challenges in online social networks. Her work emphasizes ethical blockchain applications and decentralized systems for social good. Labs/Teams: She contributes to the IEEE METASIG community and collaborates with institutions like the University of Bicocca - Milan on text-mining in decentralized social media.