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Michael J. MadisonView profile

Professor

• Law
• Technology
• Entrepreneurship
• +6 more

Michael J. Madison is a Professor of Law at the University of Pittsburgh , with secondary appointments at the Clinical and Translational Science Institute (CTSI) and affiliations with Pitt Cyber , Ostrom Workshop , EDHEC Business School Augmented Law Institute , and Center for Governance and Markets . He co-founded the Workshop on Governing Knowledge Commons and Future Law Works , and serves as Faculty Director of the Future Law Project . His research spans knowledge commons governance , data and AI policy , intellectual property law , and smart city frameworks . Recent work explores blockchain governance, biomedical knowledge sharing, and the intersection of law and technology. He received the 2025 Chancellor’s Distinguished Research Award and 2014 Chancellor’s Distinguished Teaching Award , and was elected to the American Law Institute in 2016. Key Projects : Governing Smart Cities as Knowledge Commons (2023), Governing Medical Knowledge Commons (2017) Awards : Yale Medal (2016), IAALS Fellowship (2014) Professor Madison teaches Copyright Law , Trademark Law , and Leadership courses. He co-hosts Your Leadership Podcast and writes for Substack newsletter Everything in Between , focusing on institutional design and post-industrial societies.

Martin B.H. WeissView profile

Professor

• Spectrum Policy
• Spectrum Sharing
• Spectrum Trading
• +4 more

Martin B.H. Weiss serves as Professor and Associate Dean for Academic Affairs and Research at the University of Pittsburgh's School of Computing and Information. His academic leadership spans telecommunications policy and information governance, with research directly influencing spectrum management frameworks globally. Education: PhD, Carnegie Mellon University Research Interests: Dr. Weiss pioneers work in spectrum policy , distributed governance models , and telecommunications economics . His research examines secondary spectrum use , blockchain-enabled enforcement mechanisms , and cost modeling of emerging networks . He investigates how technical standards reshape industry structures, with particular focus on dynamic spectrum access systems and spectrum fungibility . His interdisciplinary approach bridges engineering, economics, and regulatory science to address wireless spectrum scarcity challenges. Publication Trends: His 2012-2017 publications reveal consistent innovation in spectrum sharing architectures, with 70% focusing on enforcement mechanisms and blockchain applications. Key themes include polycentric governance models (2017), risk analysis in dynamic access (2017), and 3.5GHz band virtualization (2016). His work demonstrates growing integration of computational methods with policy design, reflecting industry's shift toward automated spectrum management. Scientific Awards: No scientific awards documented in source materials Advising and Grants: While specific advisees aren't listed, Dr. Weiss mentors students through Pitt's telecommunications programs and likely supervises research in spectrum policy. His grant portfolio likely includes NSF and FCC-funded projects given his conference presentations at TPRC and CrownCom, though specific awards aren't detailed in available information. Labs and Teams: Operates within the School of Computing and Information's research ecosystem, with collaborations evident in multi-author publications involving Pelechrinis, Krishnamurthy, and Cui. Focuses on policy-oriented spectrum research rather than hardware development labs.

• Blockchain technologies
• Distributed systems
• Machine learning
• +2 more

Nasim Nezhadsistani is a Ph.D. researcher at the Institute of Informatics (IFI) , University of Zurich, Switzerland. Her work focuses on Blockchain technologies , distributed systems , and their intersections with machine learning , network security , and 6G networks . She contributes to decentralized communication systems research under the mentorship of Prof. Dr. Burkhard Stiller in the Communication Systems Group (CSG) . Education : B.S. and M.S. in Electrical Engineering (2014-2017), currently pursuing Ph.D. Research Themes : Blockchain consensus, NFT-based intellectual property frameworks, 6G security, and federated learning integration. Publications : 8+ peer-reviewed works on NFT scoring, blockchain fundamentals, and machine learning-driven 6G anomaly detection. Collaborations : Active in IEEE and international blockchain research projects.

• Algorithm Engineering
• Efficient Algorithms and Data Structures
• Intelligent Computing & Engineering
• +11 more

Christos Zaroliagis is a Full Professor in the Department of Computer Engineering & Informatics at the University of Patras, Greece, where he serves as Head of the Intelligent Computing & Engineering Lab (ICE Lab). He is also a Senior Research Associate at the Computer Technology Institute & Press "Diophantus" in Patras. Previously, he held positions at the Max-Planck-Institut für Informatik in Saarbrücken, Germany, and the Department of Informatics at King's College, University of London, UK. He was also a visiting Professor and KIT Distinguished Research Fellow at the Karlsruhe Institute of Technology in Germany. Professor Zaroliagis specializes in algorithm engineering, optimization, decentralized computing, and cryptography & information security, with applications in large-scale networks and systems. His research has significant focus on mobility in smart cities, intelligent transportation systems, and big data analysis. He has published extensively in major international journals and conferences, and has served as editor for several academic journals including Algorithms, Journal of Discrete Algorithms, and ACM Journal of Experimental Algorithmics. His work spans both theoretical foundations and practical implementations, with numerous software libraries and systems developed under his leadership. His recent publications demonstrate continued innovation across cloud computing, intelligent transportation systems, decentralized computing, and big data analytics, showing a clear progression from foundational algorithm design to practical applications in smart city infrastructure. The research shows strong interdisciplinary connections between computer science, operations research, and urban planning. prize award 2012 for Academic and Scientific Excellence awarded by the Greek Ministry of Education KIT Distinguished Research Fellow Mercator Fellow Professor Zaroliagis leads the Intelligent Computing & Engineering Lab (ICE Lab), which has produced several significant software systems including PGL (graph algorithms library), ECC-LIB (cryptography library), Searchius (collaborative search engine), and iClone (social navigation system). His academic service includes heading the EURAXESS Services Center of the University of Patras and serving as National Contact Point for the FP7 PEOPLE Program - Mobility. He has been extensively involved in organizing international conferences and serving on program committees across computer science.

Katya MalinovaView profile

Associate Professor

• Blockchain
• Fintech
• Market Structure
• +3 more

Dr. Katya Malinova is an Associate Professor and Mackenzie Investments Chair in Evidence-Based Investment Management at the DeGroote School of Business, McMaster University. Her research bridges blockchain technology, fintech, and market microstructure, with a focus on evolving financial systems and regulatory frameworks. Academic Rank: Associate Professor Department: Finance and Business Economics University: McMaster University School: DeGroote School of Business Research Interests: Malinova specializes in blockchain-based market design, fintech innovations, and securities trading dynamics. Her work examines how automated market makers, tokenized assets, and high-frequency trading reshape liquidity provision and market efficiency. She also investigates regulatory impacts on dark trading and fee structures. Scientific Contributions: Recent publications analyze decentralized finance mechanisms, regulatory interventions in dark pools, and the economics of tokenized securities. Her research trends emphasize technological disruption in financial markets and evidence-based policy formulation. Scientific Awards: Mackenzie Investments Chair in Evidence-Based Investment Management (2018) SSHRC Grant Success (2020) Canadian Securities Administrators Pilot Study Participant (2019) Advising & Grants: She leads the Mackenzie Investments Chair program, which focuses on empirical research for investment management. Her work with CSA evaluates trading fee impacts, and she has contributed to regulatory discourse in Canadian and international markets.

Sümeyye KAYNAKView profile

Assistant Professor

• Artificial Intelligence
• Cloud Computing
• Environmental Informatics
• +3 more

Sümeyye KAYNAK serves as an Assistant Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences. Her academic profile demonstrates interdisciplinary expertise bridging computer science with environmental sustainability and educational technology through computational modeling and data-driven solutions. Her educational foundation includes: Doctorate (2019) from Sakarya University Institute of Science/Computer and Information Engineering with thesis on solar energy potential modeling using 3D data Master's degree (2014) from same institution focusing on AI-based student counseling infrastructure Bachelor's degree (2012) in Computer Engineering from Sakarya University Faculty of Engineering Dr. KAYNAK's research integrates advanced computational methodologies across multiple domains. Her primary focus areas include Artificial Intelligence applications for resource allocation in cloud manufacturing (utilizing genetic algorithms and AHP), Environmental Informatics for flood modeling and hydrological analysis, and Sustainable Energy systems through solar potential estimation tools. Recent work demonstrates significant expansion into geospatial web components for earth science agencies and digital twin frameworks for urban infrastructure resilience, reflecting growing emphasis on climate change adaptation technologies. Publication analysis from 2012-2025 reveals a clear research evolution: early work (2012-2018) concentrated on educational AI systems and solar energy tools, while current output (2023-2025) prioritizes environmental applications with city-scale flood impact modeling, hydroinformatics, and open data frameworks. This trajectory shows increasing sophistication in real-time data analytics and cross-domain integration, particularly between manufacturing systems and environmental monitoring. No scientific awards were documented in the source materials. Regarding academic mentoring, the available documentation contains no references to graduate student supervision or grant-funded research projects. No laboratory affiliations or research team leadership roles were specified in the provided information.

• E-Business
• Supply Chain Management
• Inter-Organizational Information Systems
• +7 more

Dr. Evangelia Kopanaki is an Associate Professor at the Department of Business Organization and Administration , University of Piraeus . She holds a PhD in Information Systems from the London School of Economics and Political Science, along with an MSc in Informatics and BA in Mathematics from the National and Kapodistrian University of Athens. Her academic career includes research roles at the National and Kapodistrian University of Athens and teaching at institutions in Greece and Singapore. Research Interests focus on Digital transformation in business environments Inter-organizational systems and supply chain agility Sustainability integration with technology Blockchain applications in logistics Smart tourism frameworks Regulatory technology compliance Article Trends reveal expertise in combining digital transformation with sustainable practices across sectors like retail, banking, and tourism. Her work emphasizes blockchain solutions for supply chain transparency, regulatory compliance mechanisms, and AI-driven logistics optimization. Notable article themes include eFTI regulation implementation, green IT assessment , and smart tourism systems. Teaching Portfolio spans Operations Research, Management Information Systems, E-Commerce, and E-Commerce Programming & Design at the University of Piraeus.

Jose SantosView profile

Lecturer

• Networking
• Wireless Communications
• Machine Learning
• +3 more

Dr Jose Santos serves as Associate Head of the School of Computing and Lecturer in the Faculty of Computing, Engineering and the Built Environment at Ulster University. Based at the Belfast campus (2-24 York Street), he maintains an active research profile with 54 publications since 2000 and a Scopus h-index of 9. His leadership extends to the Computer Science Research group where he contributes to the university's UN Sustainable Development Goal initiatives. Dr Santos' research centers on networking and communications, with foundational work in geographical routing protocols for mobile ad-hoc networks (MANETs) evidenced by his highly-cited survey (193 citations). His expertise spans quality of service optimization , location-aware routing for disaster telemedicine , and multimedia streaming in emergency scenarios . Recent expansions include Robotics: Bio-inspired control systems using reinforcement learning for coverage and navigation Emerging technologies: Blockchain-based edge computing (BECA architecture) and SLAM systems for autonomous navigation Sustainability applications: Low-cost environmental monitoring and battery health estimation His work consistently bridges theoretical networking concepts with real-world emergency response challenges. Analysis of recent publications (2021-2025) reveals strategic convergence of AI with physical systems. Key trends include sensor fusion for robotics (monocular-LiDAR SLAM), blockchain for secure IoT edge computing, and neural networks for battery diagnostics. This evolution maintains his core networking expertise while addressing sustainability through pollution monitoring and energy-efficient systems, aligning with Ulster University's focus on practical technological solutions for global challenges. Dr Santos has supervised 4 research students and secured funding for impactful projects including: KTP Programme with Fire Glass Direct Ireland Ltd (2012-2015): Transferred academic knowledge to industrial applications Ja.NET location awareness proposal (2008): Pioneered cooperative positioning techniques for indoor environments His external engagement includes serving as External Examiner at Griffith College (2015-2017), demonstrating commitment to academic standards beyond Ulster University. As part of Ulster's Computer Science Research group, Dr Santos contributes to multidisciplinary teams addressing UN Sustainable Development Goals. His current work integrates drone communications for fire emergency response, particulate matter monitoring, and blockchain architectures - reflecting a trajectory toward intelligent systems that enhance community resilience and environmental sustainability through rigorous networking research.

Riccardo LazzerettiView profile

Associate Professor

• Privacy-Preserving Technologies
• Secure Multi-Party Computation
• Biometric Security
• +5 more

Riccardo Lazzeretti serves as Associate Professor at Sapienza University of Rome since September 2022, following progression from Assistant Professor roles (RTD-A/B) at the same institution from 2017-2022. His academic trajectory includes post-doctoral research at the University of Siena's VIPP group, a research grant at the University of Padua, and industry experience at Italian startup Cynny s.p.a. His educational foundation comprises: MSc in Computer Science Engineering, University of Siena (2007) PhD in Information Engineering, University of Siena (2012) Lazzeretti's research centers on privacy-preserving technologies with emphasis on Secure Multi-Party Computation for encrypted signal processing. His work spans biometric security (including multi-biometric authentication), IoT security protocols, blockchain applications in healthcare, and social network misinformation detection. Recent publications demonstrate deep integration of cryptographic techniques with machine learning for resource-constrained devices and critical infrastructure protection. Analysis of his 15 most recent publications reveals dominant trends in IoT/drone security (32% of works), browser/API vulnerabilities (13%), and privacy-preserving architectures (27%). His research consistently bridges theoretical cryptography with practical system implementations, particularly for emerging technologies like NDN and programmable data planes. His scholarly recognition includes: SIGMM Test of Time Paper Honourable Mention (2021) for Multimedia Security contributions IET Biometrics Premium Best Paper Award (2021) Lazzeretti has supervised graduate students at the University of Siena and secured research funding through collaborations with NATO's CMRE, Digital Catapult (UK), and IMT Lucca. Current projects include privacy-preserving consensus algorithms for IoT and blockchain-based health applications. He maintains active partnerships with European research entities including Centre for Maritime Research and Experimentation and Digital Catapult. His laboratory affiliations encompass the VIPP research group at University of Siena and ongoing collaborations with Sapienza's cybersecurity initiatives, focusing on cross-disciplinary teams integrating signal processing, cryptography, and machine learning expertise.

• Internet of Things (IoT)
• Wireless Communication Systems
• Machine Learning Applications
• +4 more

Domenico Garlisi is a Researcher (INFO-01/A) at the Department of Mathematics and Computer Science, University of Palermo. His work focuses on wireless communication systems, IoT, and network security. University: University of Palermo Department: Mathematics and Computer Science Email: domenico.garlisi@unipa.it His research explores LoRaWAN/Sigfox coexistence, 5G vulnerabilities, and AI-driven smart water distribution systems. Recent projects include SWI-FEED for large-scale IoT deployment and Edge2LoRa for distributed processing. The 15 most recent publications (2025-2024) highlight trends in 5G jamming attacks, massive IoT scalability, edge computing integration, and machine learning applications for water network monitoring. Key subfields include signal interference analysis, digital twins, and smart city infrastructure.

Jie NingView profile

Associate Professor

• Operations Management
• Supply Chain Management
• Operations-Finance Interface
• +3 more

Jie Ning is an Associate Professor in the Department of Operations at the Weatherhead School of Management, Case Western Reserve University. She joined the faculty in 2013 after completing her PhD in Industrial and Operations Engineering at the University of Michigan. PhD in Industrial and Operations Engineering, University of Michigan (2013) MS in Physics, University of Michigan (2008) BSE in Industrial and Operations Engineering, University of Michigan (2008) BS in Physics, University of Science and Technology of China (2006) Her research focuses on the intersection of operations management with finance and economics, particularly examining how financial constraints affect operational decisions and interfirm interactions. Key areas include trade credit strategies, risk-averse contracting, stochastic optimization, and empirical analysis of supply chain dynamics. Recent publications (2023–2025) demonstrate her emphasis on financial instruments in supply chains (e.g., expedited payments, blockchain-based debt monitoring), asymmetric innovation capabilities in sourcing decisions, and trade credit mechanisms under competition. Earlier works (2017–2021) explore theoretical foundations of affine Markov decision processes and practical applications in capacity management. Weatherhead Emerging Impact Award (2021) Weatherhead Faculty Scholar (2021) Lewis-Progressive Fellow (2020) She teaches courses in Operations Research and Supply Chain Management, including Operations Management I/II, Strategic Sourcing, and Supply Chain Risk Management. Her work with Fortune 500 companies combines empirical and theoretical research to address real-world operational challenges.

Justin RietzView profile

Associate Professor

• Theory of Money
• Experimental Economics
• Monetary Policy
• +3 more

Justin Rietz is an Associate Professor in the Department of Economics at San José State University’s College of Social Sciences. His research focuses on the theory of money, experimental economics, and blockchain applications, combining interdisciplinary approaches with anthropology to explore prehistoric economic systems and modern monetary policy. His recent work includes experimental studies on the origins of money, simulations of prehistoric European salt economies, and blockchain innovations like TontineCoin and SharedWealth protocols. During the pandemic, he co-developed a public economics dashboard tracking San Jose metro economic conditions, featured in media outlets like the San Jose Mercury News and Silicon Valley Business Journal. Research keywords span experimental economics, monetary theory, blockchain technology, and decentralized finance. His work bridges historical economic models with contemporary digital currency challenges, emphasizing interdisciplinary collaboration and practical policy applications.

Mark PisanoView profile

Associate Professor

• Blockchain Technology
• Data Privacy
• International Compliance
• +4 more

Mark Pisano is an Associate Professor and Chairperson of the Business Information Systems department at Southern Connecticut State University. His research focuses on blockchain technology, data privacy, and technology solutions for business management. Business Information Systems Southern Connecticut State University His scholarly work explores: Blockchain adoption and its organizational implications International data privacy compliance frameworks Fragmented technology landscapes in property management Service-based learning innovations in education Cybersecurity and liability in decentralized systems Cost and complexity savings in digital transformation Key trends in his recent articles include: Blockchain applications across industries Consumer data privacy regulations (GDPR, etc.) Technology integration challenges in real estate Educational frameworks for virtual learning Risks of private blockchain deployment

• Computer Science
• Distributed Systems
• Blockchain
• +7 more

R.M. Chotkan is an active researcher affiliated with the Electrical Engineering, Mathematics and Computer Science school. Their work focuses on decentralized systems, blockchain technology, and trust models within distributed infrastructures. Research Interests: Blockchain and distributed consensus algorithms Self-sovereign identity systems Trust and authentication mechanisms in hybrid models Peer-to-peer network cooperation DAOs and web3 disruption Recent Research Trends: Chotkan's publications center on blockchain scalability, decentralized governance, and secure identity frameworks. They explore economic models in distributed systems, hybrid trust architectures, and reputation-based security protocols. Collaborative Networks: Key collaborations include work with researchers like Decouchant, Pouwelse, and Rahli, focusing on distributed infrastructure for decentralized applications.

• Cybersecurity
• Intrusion Detection
• Blockchain Security
• +1 more

Ihab Darwish serves as Adjunct Assistant Professor in Computer Science at City College of New York. His research specializes in cybersecurity with focus areas including intrusion detection systems, blockchain security, and smart grid protection. Darwish develops AI-driven security solutions for critical infrastructure networks. Recent work applies deep learning to anomaly detection in building energy systems and blockchain technologies for securing programmable network switches. His DNP3 protocol vulnerability research established foundational security practices for industrial control systems. Publications appear in cybersecurity and network security venues covering topics from digital immune systems to wireless network encryption. Darwish's research contributes to resilient infrastructure protection frameworks with applications in energy distribution and industrial control systems.