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Dr. Haibo He is the Robert Haas Endowed Professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Rhode Island (URI). As an IEEE Fellow and NSF CAREER awardee, his research focuses on computational intelligence, neural networks, and reinforcement learning with applications to smart grids and microgrid systems. Ph.D. in Electrical Engineering, Ohio University, 2006 M.S. in Electrical Engineering, Huazhong University of Science and Technology, 2002 B.S. in Electrical Engineering, Huazhong University of Science and Technology, 1999 His research interests include: Computational Intelligence Adaptive Dynamic Programming Reinforcement Learning Deep Learning for Power Systems Distributed Control in Microgrids Imbalanced Data Learning Recent research trends from publications (2018-2025) show a focus on: Multi-agent reinforcement learning for energy systems Digital twin frameworks for grid security Event-triggered control mechanisms Finite-time convergence algorithms Cyber-attack resilient control systems Evolutionary computation in power networks Awards: IEEE Fellow (2018) NSF CAREER Award (2017) Dr. He leads the Computational Intelligence and Self-Adaptive Systems (CISA) Laboratory at URI, which conducts fundamental research on computational intelligence methods with applications to power systems, data mining, and neural networks.

• Computational Intelligence
• Neural Networks
• Reinforcement Learning
• +5 more

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

• Information Systems
• Financial Technology
• Fintech
• +5 more

Stephen J. Lubben is a Professor at Seton Hall University School of Law, holding the Harvey Washington Wiley Chair in Corporate Governance & Business Ethics. He specializes in corporate finance, bankruptcy law, and financial distress, with a focus on reorganization and insolvency frameworks. His work bridges legal theory and practical applications, influencing policy debates on systemic risk and corporate governance. Education: B.A. in History and Political Science from University of California, Irvine. Post-law school, he clerked for Justice John T. Broderick Jr. and practiced at Skadden Arps before joining academia. Research Interests: Corporate bankruptcy's intersection with fiduciary duties, cryptocurrency's impact on insolvency, and global reorganization trends. He critiques safe harbors for derivatives and advocates for reforms to address 'Too Big to Fail' institutions. Key Articles: Includes analyses of fiduciary duties in bankruptcy, cryptocurrency's legal challenges, and critiques of Dodd-Frank's clearinghouse provisions. His writings span law reviews like Journal of Corp. Law and Stanford Journal of Blockchain Law . Awards: Fellow of the American College of Bankruptcy and International Insolvency Institute. Regularly testifies before Congress and advises policymakers on bankruptcy clause reforms and legislative strategies. Grants/Advisory: Advises on legislative reforms and has testified on TARP and Puerto Rico's bankruptcy. His work on bond workouts and TLAC requirements addresses 21st-century financial stability challenges. Labs/Teams: Not explicitly mentioned, but his research collaborations involve global insolvency experts and financial regulatory bodies.

• Bankruptcy Law
• Corporate Finance
• Corporate Governance
• +4 more

Andrea Morichetta is an Associate Professor at the University of Camerino (UNICAM). His research focuses on blockchain technology, smart contracts, and business process management. He explores the integration of blockchain with choreography-based systems, model-driven engineering, and process mining. His work addresses challenges in smart contract testing, distributed systems coordination, and auditability in decentralized applications. Key research areas include: Blockchain-based execution frameworks for BPMN choreographies Mutation testing strategies for Solidity smart contracts Decentralized identity systems using blockchain Event log analysis for Ethereum applications His publications highlight advancements in: Smart contract security and testing methodologies Choreography-driven architectures for IoT and MLOps Formal analysis of business process collaborations He contributes to international conferences and workshops on blockchain, enterprise modeling, and business informatics research. His work bridges theoretical foundations with practical implementations in distributed systems and process automation.

• Blockchain Technology
• Smart Contracts
• Business Process Management
• +4 more

Bina Ramamurthy is a Professor of Teaching in the Department of Computer Science and Engineering at the University at Buffalo, affiliated with the School of Engineering and Applied Sciences. With over three decades of experience in STEM education and research, her work focuses on blockchain technology, data-intensive computing, and decentralized systems. PhD in Electrical Engineering, University at Buffalo (1997) Her research centers on blockchain application development, smart contracts, and decentralized finance (DeFi). She directs the Blockchain ThinkLab at UB and developed the SUNY-approved certificate program in Data-Intensive Computing. Her Coursera MOOC specialization on Blockchain (launched 2018) has enrolled over 400,000 learners globally. Selected for prestigious recognition: SUNY Chancellor’s Award for Excellence in Teaching (2019) UB President's Circle Award (2017) She has secured multiple NSF grants, including as Principal Investigator on four HDR/IIS-CISE grants, and co-led six SUNY Instructional Technology grants. Her teaching emphasizes hands-on learning, with in-person lectures and practical exercises in courses like CSE4/506 and CSE4/526.

• Blockchain
• Cloud computing
• Computer architecture
• +5 more

Christoph Schmidt is a Senior Lecturer in the Department of Management Information, Decisions & Operations at the University of Bath. His research focuses on the intersection of operations and information systems, particularly digital technology adoption in business and supply chains. Expertise in blockchain and additive manufacturing Contributions to UN Sustainable Development Goals (SDGs) Employs empirical methods with secondary and textual data Key research areas include supply chain risk management, data privacy, and digitalisation. His work often addresses humanitarian aid logistics and pandemic-related disruptions. Current research explores the physical-digital interface in blockchain applications and public reactions to supply chain glitches. Collaborations span multiple institutions and industries.

• Supply Chain Management
• Digital Technologies
• Blockchain
• +3 more

Dr Linh Duong is a Senior Lecturer in Operations Management at the Faculty of Business and Law, University of the West of England, UK. His research focuses on sustainable and resilient supply chain management, particularly in vulnerable contexts such as the agri-food industry, tourism, and SMEs. He explores the intersection of digital transformation, innovation, and collaboration among supply chain partners. His work has been published in journals like the International Journal of Production Research and Trends in Food Science and Technology . PhD in Operations Management Dr Duong's prior roles include positions at the University of Lincoln (UK), New Zealand Forest Research Institute (Scion), and Auckland University of Technology (NZ). He has also worked in supply chain management for dairy and pharmaceutical companies since 2007. His expertise extends to module design, student supervision, and editorial review for journals such as the International Journal of Applied Logistics . His recent publications highlight themes such as 3D food printing for resilient supply chains, blockchain adoption in maritime logistics, and strategies for decarbonising agri-food systems. He also investigates the role of collaboration in sustainable food supply chains and the impact of digital technologies on healthcare and social housing. Dr Duong is affiliated with research groups including the Innovation, Operations Management and Supply center and the Centre for Sustainable Agri-Food and Environment at UWE Bristol. His career spans both industry and academia, with a strong emphasis on practical applications of supply chain innovations in real-world contexts.

• Sustainable Supply Chain Management
• Resilient Supply Chains
• Operations Management
• +6 more

Dr. Stavros Shiaeles is an Associate Professor in Cybersecurity at the Faculty of Technology , University of Portsmouth, and Co-Director of the Portsmouth AI and Data Science Centre (PAIDS) . With over 130 publications and 3000+ citations, he specializes in cybersecurity, applied AI, and threat mitigation frameworks. Academic Qualifications : PhD in Electrical and Computer Engineering (Democritus University of Thrace, 2013), MEng in Electrical and Computer Engineering (Democritus University of Thrace, 2007), MBA in Human Resource Management (University of Plymouth, 2016), and PG Cert in Academic Practice (University of Plymouth, 2017). Research Interests span cybersecurity, malware detection, blockchain, 6G networks, AI/ML applications, digital forensics, and post-quantum cryptography. His work addresses threats in IoT, financial systems, and critical infrastructure while exploring SDG4 (Quality Education) through cybersecurity training. Recent publications emphasize AI-driven anomaly detection (e.g., ransomware behavior analysis, 6G traffic monitoring), deepfake forensics, synthetic image attribution, and hybrid blockchain/AI security architectures. He also curates datasets for malware analysis and synthetic media classification. Scientific Awards : IEEE SMC TCHS Outstanding Service Award (2021). Grant Funding : Over €18M secured in EU Horizon 2020 grants, including €8M as Principal Investigator for the ongoing XTRUST-6G project. Active in KTPs, consulting, and research commercialization opportunities.

• Cyber Security
• Malware Analysis
• Anomaly Detection
• +13 more

Mark C. Ballandies serves as a Senior Research Associate at the University of Zurich and holds a lecturing position at Vorarlberg University of Applied Sciences. He is actively engaged in decentralized technology initiatives as co-founder of WiHi (a weather/climate intelligence DePIN), onocoy (a GNSS industry DePIN), and DAOSuisse (Swiss DAO association), while also presiding over education matters e.V. Education: PhD in Cryptoeconomics from ETH Zurich with dissertation titled "Fundamentals of Cryptoeconomics: On the design, construction, and impact of blockchain-based systems and incentives" His research centers on blockchain-based cryptoeconomic incentive design and behavioral impacts, employing experimental methodologies, agent-based modeling, and network science. Current work focuses on DAO adaptability mechanisms and community-owned DePIN solutions for real-world infrastructure challenges, particularly in climate intelligence and satellite navigation systems. Scientific awards: None documented in source material. Advising and grants: No student supervision or grant information provided in available texts. Labs and teams: Leads community-driven initiatives including WiHi for weather data decentralization, onocoy for GNSS infrastructure, and DAOSuisse for Swiss DAO ecosystem development, all operating at the intersection of blockchain technology and physical infrastructure networks.

• Blockchain
• Cryptoeconomics
• Incentive Design
• +6 more

PD Dr. Johannes Richter is an Acting Chair (Professor) at the University of Heidelberg (Summer 2025) and the University of Bonn (Winter 2024/25 and Summer 2024). He holds teaching authorization in civil law, civil procedure, and commercial law after his 2024 habilitation at the University of Bonn. His academic career includes roles as a Research Associate at the Institute for German and International Civil Procedure Law (2015–2017) and legal traineeship at the Higher Regional Court of Cologne (2017–2019). Education: Studied law at the University of Bonn and York Law School (2009–2014), earned a BA in Catholic Theology and German Studies (2006–2009). Key qualifications include a doctorate (2017) and habilitation (2024). Research focuses on insolvency law, civil procedure, digitalization in law, and property rights. Notable publications include his habilitation thesis (2025), a textbook on civil procedure law (2022), and numerous articles on insolvency proceedings, corporate governance, and blockchain law. Teaching includes advanced seminars on insolvency law fundamentals, civil procedure, and comparative law. Collaborations with Professors Brinkmann, Piekenbrock, and Schoppmeyer highlight his academic network.

• Insolvency Law
• Civil Procedure Law
• Corporate and Commercial Law
• +3 more

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

• Parallel Computing
• Performance Engineering
• Algorithms
• +6 more

Dr. Suzanne R. Black is a Postdoctoral Research Associate at the University of Edinburgh, working within the CoSTAR Foresight Lab. Her research sits at the intersection of humanities inquiry and computational methods, focusing on digital literary culture, fanfiction, and creative industries data analysis. She holds a PhD from the University of Edinburgh where her doctoral work examined 21st-century digital literary networks. PhD in English Literature, University of Edinburgh Her research interests center on digital literary culture , fanfiction archives , and queer/feminist theories applied to contemporary reading practices. She pioneers computational approaches like topic modeling to analyze large-scale datasets from platforms such as Goodreads, investigating how readers construct literary value and negotiate canonicity in digital spaces. Her work reveals how fan communities dynamically define 'classics' through emotional engagement and collective discourse. Recent publications demonstrate a cohesive trajectory in cultural analytics and digital literary studies , blending computational techniques with critical theory to examine pandemic impacts on festivals, NFT ownership models, and DEI initiatives in creative sectors. A recurring theme is the tension between algorithmic systems and human-centered cultural production. Fellowship at the Institute for Advanced Studies in the Humanities Dr. Black has secured research funding through institutional fellowships supporting her Goodreads fanfiction analysis. While not formally advising graduate students, she actively shapes academic discourse through invited lectures at Newcastle University, the University of Edinburgh, and Porty Pride events. Her grant-funded projects often involve cross-disciplinary collaboration with data scientists and social researchers. As a core member of the CoSTAR Foresight Lab, she contributes to the Edinburgh Futures Institute's mission of data-driven creative industry innovation. Her work integrates digital humanities methodologies with cultural analytics to address structural biases in digital heritage preservation and fanfiction archiving.

• Digital Humanities
• Literary Studies
• Fan Studies
• +5 more

Tung X. Bui is a Professor of Information Technology Management at the Shidler College of Business, University of Hawaii at Manoa, holding the Matson Navigation Company Chair of Global Business. He serves as Faculty Director of the Vietnam Executive MBA Program, Chair of the Hawaii International Conference on System Sciences (HICSS), and Director of both the APEC-Study Center and Pacific Research Institute for Information Systems and Management (PRIISM), while maintaining a Senior Research Affiliate position at UC Berkeley's APEC Study Center. His academic credentials include: PhD in Computer and Information Systems, Stern School of Business, New York University PhD in Managerial Economics, University of Fribourg, Switzerland MS in Economics and Social Sciences, University of Fribourg, Switzerland Professor Bui's research bridges digital transformation , geoeconomics , and crisis management , with emphasis on Southeast Asia. His work examines computer-supported group decision systems , blockchain governance , emergency response technologies , and Vietnam's Bamboo Diplomacy foreign policy strategy through interdisciplinary lenses combining information systems, political economy, and sociology. Analysis of his 2020-2025 publications reveals three dominant trends: (1) Blockchain applications in healthcare governance and supply chain resilience, (2) Geoeconomic analyses of Vietnam's middle-power strategy amid US-China competition, and (3) Crisis communication systems validated through real-world disasters like Hawaii's Red Hill fuel leak. His work consistently integrates technical innovation with socio-political contexts across 80+ publications in top venues including HICSS and Decision Sciences . His major recognitions include: INFORMS Lifetime Research Achievement Award (2019) SRII Leadership Service Award (2014) University of Hue Honorary Professorship (2012) Five-time Shidler Kaizen Award recipient US Department of Labor and Congress commendations Through PRIISM and the APEC-Study Center, Professor Bui directs multi-institutional research on Pacific Rim information systems and trade policy, securing federal and APEC funding for projects spanning emergency response systems, digital economy frameworks, and Vietnam-US business relations. His doctoral seminar (ITM 704) trains next-generation scholars in advanced information systems research. He leads the Pacific Research Institute for Information Systems and Management (PRIISM), which develops decision-support technologies for regional governments and APEC policymakers, and co-directs the APEC-Study Center focusing on trade facilitation systems across 21 Pacific economies. These units maintain active partnerships with Vietnam's Ministry of Industry and Trade, NASA, and the US Department of Labor.

• Digital Transformation
• Computer-supported group decision and negotiation
• Electronic Commerce
• +5 more

Magdalini Eirinaki is a Professor and Academic Program Coordinator for the MS in Artificial Intelligence at San José State University's Charles W. Davidson College of Engineering. With a career spanning two decades, her work bridges recommender systems , machine learning , and smart city applications . PhD in Computer Science (2006), Athens University of Economics and Business MSc in Advanced Computing (2000), Imperial College London BSc in Computer Science (1998), University of Piraeus Her research focuses on machine learning and recommender systems with extensions to generative AI , privacy-sensitive algorithms , and social network analysis . Recent publications explore federated learning , multi-resolution diffusion models , and autonomous network defense using reinforcement learning. Current projects include NSF-funded CollaborAIte (2024) EU Horizon/Marie Sklodowska-Curie's MUSIT (2024) IBM SkillsBuild Cloud Credits for Sustainability (2024) She has received multiple teaching and mentorship awards including: Newnan Brothers Award (2019) Applied Materials Award (2017) 5-time SJSU Distinguished Faculty Mentor Award Dr. Eirinaki advises students in AI , ML , and smart city projects, with recent graduates presenting at IEEE CAI (2025) and CSU Conference (2025).

• Recommender Systems
• Machine Learning
• Data Mining
• +5 more

Bartosz Grzybowski serves as Distinguished Affiliate Professor at the Institute of Organic Chemistry, Polish Academy of Sciences (PAS), leading the Laboratory of Computer-Assisted Synthesis. His work bridges artificial intelligence and experimental organic chemistry to transform synthesis from trial-and-error into algorithmic science. His research focuses on AI-driven synthesis planning , reaction network analysis , and computational prediction of chemical properties . Key contributions include pioneering algorithms for multistep organic synthesis of complex targets, discovery of novel organic reactions through AI, and design of temporally/spatially synchronized reaction networks. His group develops methods for sustainable chemistry, drug analog design, and enzymatic process optimization. Analysis of his 2023-2025 publications reveals dominant trends in retrosynthetic AI (87% of articles), sustainable chemistry applications (63%), and integration of mechanistic understanding with machine learning. Work frequently appears in Nature , Science , and JACS , emphasizing experimental validation of computational predictions. Prof. Grzybowski currently advises three PhD students and collaborates with a multidisciplinary team: Core team : Assoc. Prof. Michał Michalak (Adjunct), Dr. Anna Żądło-Dobrowolska, Dr. Aleksei Koshevarnikov Active grant : NCN SONATA 2020/39/D/ST4/01890 on hazardous chemical degradation (PI: Żądło-Dobrowolska) The Laboratory of Computer-Assisted Synthesis operates as an integrated computational-experimental unit at IBS-IOC PAS. Current projects include blockchain-orchestrated reaction networks, AI-guided catalyst selection, and metabolic-cycle emulation. The group maintains strong industry/academic partnerships for validating algorithms in drug discovery and green chemistry applications.

• Artificial Intelligence in Chemistry
• Computer-Assisted Organic Synthesis
• Reaction Network Analysis
• +3 more