جست‌وجوی استاد و پژوهشگر

Dejun Yangمشاهده پروفایل

دانشیار

• Networking
• Mobile Sensing
• Edge Computing
• +۵ مورد دیگر

Dejun Yang is an Associate Professor in the Department of Computer Science at Colorado School of Mines. He directs the NEMOS (Networking and Mobile Sensing) Lab, focusing on advancing networking, mobile sensing, and edge computing through interdisciplinary approaches involving game theory, optimization, machine learning, and algorithm design. His work addresses challenges in resource allocation, security, and privacy across domains like IoT, quantum internet, and blockchain-based systems. Education: B.S. in Computer Science, Peking University (2007) Ph.D. in Computer Science, Arizona State University (2013) Research Interests: Networking and satellite communications Edge computing security and SLA enforcement Incentive mechanisms for crowdsourcing and blockchain Quantum internet resource distribution Privacy-preserving mobile sensing Recent Article Trends: His 2023-2025 work emphasizes blockchain payment networks (e.g., fee-aware routing, crypto capital incentives) and edge computing SLA markets. Earlier studies focused on crowdsourcing mechanisms and spectrum auctions. Scientific Awards: Recipient of Best Paper Awards at GLOBECOM’15, ICC’12, ICC’11, MASS’11, and a Best Paper Runner-Up at ICNP’10 (2010-2015). Lab & Collaboration: Leads the NEMOS Lab, which develops innovative solutions for mobile sensing, edge computing, and secure distributed systems. Active in interdisciplinary collaborations involving industry partners and academic institutions.

Andrew Parkمشاهده پروفایل

استادیار

• Information Systems
• Biotechnology Management
• Personalized Medicine
• +۵ مورد دیگر

Andrew Park is an Assistant Professor of Information Systems at the Peter B. Gustavson School of Business, University of Victoria. He holds a PhD and has dual expertise in business and biotechnology, having previously founded and sold a health technology venture. His research focuses on organizational impacts of digital and biotechnologies, innovation ecosystems, and science-based entrepreneurship. He contributes to interdisciplinary journals spanning medicine, engineering, and management. Research interests include cybersecurity leadership, ethical implications of biometric technologies, blockchain applications, and university spin-off innovation. His work bridges management theory with emerging technologies, emphasizing practical implications for firms and economic development. Recent articles explore cybersecurity governance, AI ethics, biometric dignity concerns, and the role of intangible assets in scientific ventures. His award-winning 2022 paper on NFT trust dynamics highlights his focus on digital asset economics. He collaborates in national innovation networks evaluating North American tech ecosystems. No formal grants or labs are explicitly listed, but his entrepreneurial background indicates active industry partnerships.

Onnig H. Dombalagianمشاهده پروفایل

استاد

• Securities Regulation
• Derivatives Law
• Financial Market Governance
• +۵ مورد دیگر

Onnig H. Dombalagian is the George Denègre Professor of Law at Tulane University, affiliated with Tulane Law School. He specializes in U.S. and international regulation of securities and derivatives markets, focusing on federal and state law interactions in corporate governance. His roles include serving as Vice Dean for Academic Affairs (2016–2020) and contributing to regulatory bodies like FINRA's National Adjudicatory Council. He holds a JD, cum laude, from Harvard Law School and an AB in Computer Science, summa cum laude, from Harvard College. Education: JD, cum laude, 1995, Harvard Law School AB in Computer Science, summa cum laude, 1992, Harvard College Research Interests: Professor Dombalagian examines regulatory frameworks for securities, derivatives, and emerging financial technologies like cryptocurrency. He explores how federal/state laws interact in corporate governance, with a focus on market integrity, self-regulatory organizations, and policy adaptation to digital finance. His work bridges legal, technological, and economic dimensions of financial markets. Key Contributions: His recent articles address cryptocurrency-based exchange-traded products (ETPs), class certification in securities litigation, digital bond trading, and automated compliance systems. These reflect a focus on regulatory challenges posed by technological innovation and market evolution. Awards: Felix Frankfurter Distinguished Teaching Award (2007) Advising & Grants: While no formal advisees are listed, his extensive regulatory roles and academic contributions imply significant mentorship in securities law and policy. His work with FINRA highlights practical engagement with industry disputes and regulatory enforcement. Labs/Teams: Engaged with Tulane Law School's research initiatives and external bodies like FINRA, contributing to adjudication and dispute resolution in financial markets.

Huiqi Yvonne Luمشاهده پروفایل

مدرس

• AI for Health
• Sensor Informatics
• Digital Health
• +۳ مورد دیگر

Dr. Huiqi Yvonne Lu is a Stipendiary Lecturer in Engineering Science and Researcher in AI for Health and Sensor Informatics at the University of Oxford. She holds positions as co-lead tutor for admissions at Worcester College and a Fulford Junior Research Fellow at Somerville College. Her research focuses on AI-driven health monitoring, wearable devices, and sensor signal processing. She leads projects like SMARTEDGE (EU Horizon) and MIRAGE (Diabetes UK), addressing gestational diabetes and chronic disease management. She is an award-winning researcher with honors including the CAETS High Potential Innovations Prize and the Royal Academy of Engineering Fellowship. Dr. Lu actively contributes to IEEE standards and editorial roles at Nature npj Women’s Health and Frontiers in Signal Processing. Education: DPhil in Mobile Computing from the University of Sussex, funded by UKRI and Sussex GTA scholarships. Post-DPhil work included biomedical research at Oxford John Radcliffe Hospital and Liverpool University, followed by a Daphne Jackson Fellowship in 2019. She earned undergraduate and graduate teaching accolades in engineering and mathematics. Research interests include machine learning for healthcare, physiological modeling, and medical device innovation. She has pioneered work on AI for maternal health, blood glucose monitoring, and LLM-based healthcare worker training in rural India. Her interdisciplinary projects bridge engineering, medicine, and global health equity. Teaching roles span Math, Electronics, and Health Data Science modules at Oxford, Sussex, and Liverpool Universities. She advises on STEM outreach, chairs committees for gender equity (EDI), and promotes public engagement through talks at venues like the Royal Society and IEEE conferences.

George Bissiasمشاهده پروفایل

استادیار

• Distributed Systems
• Digital Currencies
• Network Privacy
• +۳ مورد دیگر

George Bissias is a Research Assistant Professor in the Department of Computer Science at the University of Massachusetts Amherst. He holds a Ph.D. in Computer Science from UMass Amherst (2010) and has industry experience at mobile advertising startup Fiksu and distributed database startup Hadapt before returning to academia in 2013. His research focuses on distributed systems, digital currencies, and network/data privacy, with notable work on blockchain security, cryptocurrency protocols, and differential privacy frameworks like DpComp. Education: Ph.D. in Computer Science, University of Massachusetts Amherst, 2010 Research Interests: Statistical inference in peer-to-peer networks Secure and scalable Bitcoin implementations Differentially private algorithm benchmarking (DpComp) Blockchain protocols and consensus mechanisms Privacy-preserving data generation (PSynDB) Key Research Directions (2019–2025): Recent work explores fair course allocation mechanisms, DAG-based mining strategies, and economic models for cryptocurrency security. His blockchain research includes protocols like Graphene and Tailstorm, emphasizing transaction efficiency and security. Labs/Teams: Active contributor to UMass's distributed systems and cybersecurity research groups, focusing on interdisciplinary projects blending cryptography, economics, and distributed computing.

Tobias Distlerمشاهده پروفایل

دانشیار

• Distributed Systems
• Byzantine Fault Tolerance
• Energy-efficient Computing
• +۷ مورد دیگر

Tobias Distler is an Associate Professor (Privatdozent) at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He leads research in resource-efficient fault tolerance, energy-aware systems, and distributed coordination. His work focuses on Byzantine fault tolerance, cloud computing, real-time systems, and embedded systems resilience. Research Projects: REFIT (Resource-efficient Fault and Intrusion Tolerance) EDC (Efficient Distributed Coordination) E³ (Energy-aware Execution Environments) TClouds (Trustworthy Clouds) Research Interests: His expertise spans distributed systems, fault-tolerant replication, energy-efficient computing, real-time systems analysis, and secure cloud infrastructure. He emphasizes practical system design with rigorous theoretical foundations. Publications: Over 100 peer-reviewed papers in top venues like Middleware, EuroSys, DSN, and ECRTS. Notable contributions include Egalitarian BFT, Strome (energy-aware stream processing), and TinyBFT for embedded systems. Awards: SIGACT Research Highlights Nomination (2024) FAU Teaching Award for Junior Researchers (2021) IBM Ph.D. Fellowship (2012-2013) Professional Activities: Served on program committees for Middleware, EuroSys, DSN, and IEEE Transactions. Chair of Artifact Evaluation for Middleware '20. Founded the BCRB workshop on Byzantine consensus and blockchains. Education: Habilitation (2021) and Ph.D. (2014) from FAU, focusing on resource-aware system software for replicated services. Advisor to numerous graduate students in distributed systems research.

Reyhaneh Safavi-Naeiniمشاهده پروفایل

استاد

• Cryptography
• Quantum-safe cryptography
• Information theoretic cryptography
• +۴ مورد دیگر

Dr. Reyhaneh Safavi-Naeini is a Professor in the Department of Computer Science at the University of Calgary, where she also serves as Assistant Head for Graduate Scholarships and Awards. She holds the NSERC/TELUS Industrial Research Chair in Information Security and is the Alberta Innovates Strategic Chair in Information Security. She co-founded the Institute for Security, Privacy and Information Assurance (SPIA) in 2009, leading it until 2019. Her academic journey includes a PhD in Electrical Engineering from the University of Waterloo (1978) and prior roles as a Professor and Director at the University of Wollongong, Australia. She has over 400 peer-reviewed publications and led major industry collaborations in Canada and Australia. Her research focuses on cryptography, information security, and privacy, emphasizing quantum-safe cryptography, information-theoretic security, network security, cloud security, and distributed ledger technologies. She has pioneered work on secure communication protocols, privacy-preserving systems, and cryptographic primitives resilient to modern and quantum threats. Key contributions include protocols for distance-bounding, secure key agreement, and privacy-enhanced authentication. Dr. Safavi-Naeini has received several accolades, including the Japan Telecom System Technology Award (2019), IEEE Senior Member distinction (2014), and multiple best paper awards. She serves on editorial boards for journals like IET Information Security and ACM Computing Surveys, and has chaired major conferences such as Privacy, Security and Trust (PST 2017) and Financial Cryptography 2014. She collaborates extensively with industry partners like Telus to advance applied security research. Her academic leadership includes directing research institutes, shaping university strategic initiatives like Human Dynamics in a Changing World (2015–2021), and teaching courses such as Information Theory and Security. Her work bridges theoretical foundations with practical applications, addressing real-world challenges in securing digital systems and privacy-sensitive technologies.

• Multi-Objective Optimisation
• Nature Inspired Optimisation Algorithms
• Multidisciplinary Design Optimisation Under Uncertainties
• +۷ مورد دیگر

Dr. Edmondo Minisci is a Senior Lecturer in Mechanical and Aerospace Engineering at the University of Strathclyde, part of the Faculty of Engineering. He leads the Intelligent Computational Engineering Laboratory (ICE-Lab) within the Aerospace Centre of Excellence. With over 25 years of experience, his expertise spans model-based analysis and design optimization of complex mechanical/aerospace systems, including aeronautical vehicles, wind turbines, and sustainable energy systems. He actively supervises PhD students in areas like multi-fidelity methods, intelligent control, and sustainable agriculture engineering. Dr. Minisci has received prestigious awards, including the NATO STO “Panel Excellence” Award (2024) and the Sir Arthur C Clarke Award (2015). His research focuses on multidisciplinary design optimization under uncertainties, machine learning applications, and aerospace technologies for sustainable development. Key projects include optimizing high-lift devices, wind turbine performance, and precision agriculture systems. He has contributed to numerous conferences, including organizing the International Conference on Bioinspired Optimisation Methods and serving as an examiner for PhD theses. His work bridges computational intelligence with practical engineering challenges, emphasizing resilience and innovation in aerospace and energy sectors. Research Interests: Multi-Objective Optimization, Nature-Inspired Algorithms, Uncertainty Treatment, Machine Learning, Intelligent Control. Recent Projects: Symbolic Computation for Differential Equation Systems, EPSRC-funded Uncertainty Quantification in Aeroelastic Systems, and Advanced Natural Language Models for Satellite Communications.

• Cryptography
• Blockchain Technology
• Network Security
• +۷ مورد دیگر

Danilo Gligoroski is a Professor at the Department of Information Security and Communication Technology at NTNU. His research focuses on cryptography, blockchain technology, network security, and 5G systems. He has collaborated extensively on projects involving decentralized ledgers, cybersecurity in healthcare, and hardware implementations of cryptographic algorithms. Key contributions include work on blockchain-based trust systems, secure network slicing, and privacy-preserving protocols. Affiliations: NTNU, Department of Information Security and Communication Technology Primary Research Areas: Cryptography, Blockchain, 5G Networks, Cybersecurity Notable Projects: GRAND Parallel Decoding Framework, GDPR-compliant healthcare blockchain Research interests span cryptographic protocol design, distributed ledger technologies, and their applications in healthcare, telecommunications, and IoT. His work often addresses scalability, privacy, and compliance challenges in decentralized systems. Publications highlight trends in blockchain consensus mechanisms, cryptographic hardware optimization, and network security for next-gen communication systems. Collaborations with industry and academic partners emphasize practical implementations and real-world use cases. Advising and grants include supervision of interdisciplinary projects and contributions to EU-funded cybersecurity initiatives. Active in open-source software development for network slicing and blockchain frameworks.

• Database Systems
• Mobile and Pervasive Data Management
• Distributed Computing
• +۵ مورد دیگر

Panos K. Chrysanthis is a Professor of Computer Science at the University of Pittsburgh and an adjunct Professor at Carnegie-Mellon University and the University of Cyprus. He holds a BS in Physics with a Computer Science concentration from the University of Athens, Greece, and MS and PhD degrees in Computer and Information Sciences from the University of Massachusetts Amherst. He has been affiliated with the University of Pittsburgh since 1991, serving as Director of the Advanced Data Management Technologies (ADMT) Lab. His research focuses on database systems, mobile and pervasive data management, distributed computing, and real-time systems, with recent emphasis on data streams and energy-efficient data management for IoT and sensor networks. Chrysanthis has authored over 100 peer-reviewed publications, including a book on transaction processing and consistency in distributed databases. He has received the NSF CAREER Award (1995) and the University of Pittsburgh's Provost Award for Excellence in Mentoring (2015). He has held editorial roles at the VLDB Journal, IEEE TKDE, and DAPD, and has organized major conferences like ICDE and MDM. His work bridges theoretical database research with practical applications in urban informatics, healthcare, and sustainability. Chrysanthis has advised numerous students, contributed to grants focused on big data and healthcare analytics, and co-developed tools like the ADMT Lab's experimental platforms for urban mobility and congestion. He is a Senior Member of IEEE and an ACM Distinguished Scientist.

Guofei Guمشاهده پروفایل

استاد

• Network and System Security
• AI Security
• Software-Defined Security (SDN/NFV)
• +۵ مورد دیگر

Guofei Gu is a Professor of Computer Science & Engineering and holder of the Eppright Professorship in Engineering at Texas A&M University's College of Engineering. He leads the SUCCESS Lab, focusing on cybersecurity research in areas such as software-defined security, AI security, and IoT/malware analysis. His work bridges networking, systems, and applied cryptography, addressing practical security challenges. Guofei received his Ph.D. from Georgia Tech (2008) and holds prestigious awards including IEEE Fellow (2020), NSF CAREER Award (2010), and AFOSR Young Investigator Award (2013). He has published extensively in top venues like S&P, CCS, and NDSS, with over 18,000 citations. Research Interests: Network/System Security, AI Security, SDN/NFV Security, Mobile/IoT Threats, Malware Analysis, and Zero Trust Frameworks. Selected Awards: Best Paper at ASIACCS 2022 Eppright Professorship in Engineering (2020) IEEE Fellow (2020) AFOSR Young Investigator Award (2013) Labs/Teams: Director of the SUCCESS Lab, collaborating on projects like S2OS (Security OS) and FRESCO. His work emphasizes programmable security solutions for emerging technologies.

Jyh-Charn Liuمشاهده پروفایل

استاد

• Real-time distributed computing systems
• Behavior modeling and simulation
• Cyber physical systems security
• +۵ مورد دیگر

Jyh-Charn 'Steve' Liu is a Professor in the Department of Computer Science & Engineering at Texas A&M University, affiliated with the College of Engineering. His research focuses on real-time distributed systems, cyber-physical security, and interdisciplinary applications such as mathematical expression analysis and GNSS spoofing mitigation. Education: Ph.D., Electrical & Computer Engineering, University of Michigan (1989) M.S., Electrical Engineering, National Cheng Kung University (1981) B.S., Electrical Engineering, National Cheng Kung University (1979) Research Interests: Real-time distributed computing systems Cyber-physical systems security Behavior modeling and simulation Mathematical expression analysis and tools for STEM education GNSS spoofing detection and mitigation Blockchain-based supply chain management Key Publications Trends: Recent work emphasizes AI-driven solutions for mathematical document processing (e.g., LaTeX conversion from images), cybersecurity in navigation systems, and interdisciplinary applications like STEM education tools. Early-career contributions include real-time scheduling algorithms and embedded systems design. Awards: Senior Member, IEEE Computer Society (2014) Nominated for ACM Eugene L. Lawler Award (2013) Conference leadership roles (RTAS 2006/2007) Lab & Collaborations: Leads the Real Time Distributed Systems Lab, exploring areas such as verifiable credentials, urban navigation systems, and medical image analysis. Collaborates on projects like DIME (mathematical expression tool) and MOP (mathematical PDF labeling).

• Computer Networks
• Edge Computing
• Internet of Things (IoT)
• +۵ مورد دیگر

Paolo Bellavista is a Full Professor of Distributed and Mobile Systems at the Department of Computer Science - Science and Engineering, Alma Mater Studiorum – University of Bologna. His research focuses on edge computing, federated learning, IoT, digital twins, and blockchain applications. With over 140 journal articles and 200+ conference papers, his work appears in top venues such as ACM Computing Surveys and IEEE Transactions. He serves as Editor-in-Chief of the MDPI Computers Journal and holds editorial roles in IEEE Communications Surveys&Tutorials and ACM Computing Surveys. His contributions span network optimization, cybersecurity, and smart cities, with notable achievements in citation metrics (h-index 46 on Google Scholar). Research interests include distributed systems, vehicular networks, AI-driven security, and QoS-aware edge infrastructures. He has organized major conferences like IEEE Mobile Cloud and ACM ICDCN. Current projects explore federated learning unlearning, digital twin entanglement, and blockchain-based data spaces. His work bridges theoretical foundations with real-world deployments in smart manufacturing and healthcare. Editorial Roles : MDPI Computers (Editor-in-Chief), IEEE Communications Surveys&Tutorials (Associate Editor), ACM Computing Surveys (Editor) Conference Leadership : Technical Program Chair for IEEE Mobile Cloud 2015, General Co-Chair for SCNS 2018 Key Contributions : Over 140 journal papers, 15 special issues as guest editor, and 200+ conference publications His lab develops middleware for edge-cloud continuum applications and collaborates internationally on projects like InAbled Cities. Office hours are held weekly at the University of Bologna’s DISI department.

Moacir Godinho Filhoمشاهده پروفایل

استاد مهمان

• Supply Chain Management
• Circular Economy
• Lean Production
• +۷ مورد دیگر

Moacir Godinho Filho is a Guest Professor in the Department of Materials and Production at the Faculty of Engineering and Science, Aalborg University, Denmark. His research bridges industrial engineering, operations management, and sustainable production systems, with a strong emphasis on digital transformation and human factors in lean environments. His research interests include Supply Chain Management , Lean Production , Circular Economy , Industry 4.0 , and employee involvement in organizational improvement . He investigates how digital technologies such as blockchain and social media influence supply chain resilience and operational efficiency, particularly in healthcare and manufacturing sectors. The recent publications show a clear trend toward interdisciplinary research combining behavioral insights with technological adoption, focusing on sustainability, digitalization, and organizational dynamics. His work frequently employs case studies and multimethod approaches to explore real-world implementations. No scientific awards were mentioned in the provided text. He has collaborated extensively with scholars across Brazil, India, and Europe on topics related to operations and sustainability. While no formal advisees or grants are listed, his active publication record suggests ongoing research projects and academic supervision. His work is frequently published in high-impact journals such as Journal of Cleaner Production , Industrial Management & Data Systems , and Operations Management Research . Moacir Godinho Filho is associated with the Production Center for Industrial Production at Aalborg University, where he contributes to research in advanced manufacturing and supply chain innovation.

Siris Vasiliosمشاهده پروفایل

استاد

• Resource Management in Networks
• Distributed Ledger Technologies (DLTs)
• Blockchains and IoT Security
• +۳ مورد دیگر

Professor Siris Vasilios holds the position of full Professor at the Department of Informatics, Athens University of Economics and Business (AUEB). Previously, he served as Assistant and Associate Professor at AUEB (2009–2020) and the University of Crete (2002–2009). His expertise spans resource management in networks, blockchain-based IoT security, and future communication systems. He has published over 150 papers in top venues like IEEE INFOCOM and ACM Mobicom, and holds three patents in wireless resource management. Education: Diploma in Physics (1990), National and Kapodistrian University of Athens M.S. in Computer Science (1992), Northeastern University, Boston, USA Ph.D. in Computer Science (1998), University of Crete Research Interests: His work focuses on trusted communication in IoT , leveraging blockchain technologies for secure systems. Key areas include distributed ledger applications, energy-efficient network protocols, and satellite-terrestrial integration. He emphasizes combining theoretical methods with practical system implementations. Awards & Recognition: He has coordinated EU-funded projects (e.g., SOFIE) and served as Technical Program Chair for IEEE WoWMoM 2018 and IQ2S 2015. His research has been recognized through grants from Greek governmental and industry partners. Grants & Projects: Principal Investigator for multiple EU research projects Lead on Greek national and industry-funded initiatives Contributed to the SOFIE project addressing IoT security via interledger technologies Labs & Teams: Active in the Department of Informatics' research groups, focusing on experimental systems like Dedalus for wireless maritime networking and blockchain-based IoT prototypes.