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Martin HarriganView profile

Lecturer

• Blockchain
• Cryptocurrency Analysis
• Decentralized Finance (DeFi)
• +3 more

Martin Harrigan is a Lecturer in the Department of Computing at South-East Technological University (SETU). His research focuses on blockchain technologies, decentralized systems, and privacy in cryptocurrency networks. He has contributed to studies on smart contracts, DAO governance mechanisms, and the analysis of protocols like Bisq and Ethereum. His work often intersects computer science, financial systems, and network analysis. Key research areas include blockchain architecture, tokenomics, and the privacy implications of decentralized platforms. Harrigan has published extensively on topics such as cross-blockchain analysis, address clustering techniques, and the structural patterns of networks like Wikipedia and social media. His findings have been presented at IEEE conferences and peer-reviewed journals. Notable projects include analyzing the privacy trade-offs in decentralized exchanges (e.g., Bisq), exploring token composition using EVM logs, and investigating voting mechanisms in DAOs. His work emphasizes practical applications of blockchain technology while addressing challenges in security, scalability, and anonymization.

• Financial Regulations
• Short Selling
• High-Frequency Trading
• +5 more

Dr. Chinmay Jain is an Associate Professor of Finance at the School of Business, SUNY Geneseo. He specializes in financial regulations, short selling, high-frequency trading, and cryptocurrencies. His research has been published in journals like Financial Review , Economics Letters , and Journal of Trading , and has earned the 2012 Financial Review Best Paper Award for his work on SEC Rule 201. Dr. Jain holds a B.Tech. from the Indian Institute of Technology (Kharagpur) and a Ph.D. in Finance from the University of Memphis. Prior to Geneseo, he served at Ontario Tech University in Canada. He is a CFA charterholder and teaches courses on Investments, Managerial Finance, and Blockchain & Cryptocurrencies. His research focuses on regulatory impacts on financial markets, algorithmic trading dynamics, and cryptocurrency market mechanisms. Notable studies include analysis of SEC regulations, short selling strategies, blockchain transaction fees, and price manipulation in Bitcoin markets. Dr. Jain actively participates in academic conferences such as the Financial Management Association and Eastern Finance Association. His work integrates empirical analysis of market microstructure with policy implications, emphasizing real-world regulatory and technological innovations.

Jan LiphardtView profile

Associate Professor

• Biophysics
• Bioengineering
• Single-Molecule Studies
• +5 more

Jan Liphardt is an Associate Professor of Bioengineering at Stanford University , leading the Liphardt Lab. His work bridges physics, engineering, and biology , focusing on single-molecule dynamics, non-equilibrium statistical mechanics, and privacy-preserving medical AI . He is affiliated with the Shriram Center and has pioneered tools like Secure Multiparty Computation for global health data analysis. Education : BA from Reed College (1996), PhD from Cambridge University (1999). His research spans single-molecule biophysics (e.g., RNA dynamics, nuclear pore mechanics) and applied projects in digital health , including a privacy-preserving COVID-19 symptom tracker with 3.6 million reports. Recent articles emphasize mechanogenetics , chromatin dynamics , and wearable stress sensors . Scientific awards include the Searle Scholar Sloan Research Fellowship Hellman Fellowship Mohr Davidow Innovator’s Award (2007) His lab mentors PhD students and postdocs in interdisciplinary methods, and he teaches courses on synthetic biology , AI in bioengineering , and blockchain applications . Collaborations with Lawrence Berkeley National Lab and UC Berkeley highlight his academic journey.

Konstantin BeznosovView profile

Professor

• Usable Security
• Distributed Systems Security
• Secure Software Engineering
• +3 more

Konstantin Beznosov is a Professor at the Department of Electrical and Computer Engineering, University of British Columbia, and founder/director of the Laboratory for Education and Research in Secure Systems Engineering (LERSSE). His work bridges usable security , distributed systems security , and privacy in smart devices . Prior to UBC, he served as a Security Architect at Hitachi Computer Products (America) and Concept Five. Research Interests : Usable security, secure software engineering, access control, and privacy in emerging technologies like smart speakers and cryptocurrency. Advising : Mentoring students in topics such as mobile security, authentication, and cybersecurity ethics. Leadership : Founded LERSSE, focusing on network security and user-centered secure system design. His recent articles explore user behavior in smartphone authentication, privacy risks in shared smart speakers, and security challenges in cryptocurrency adoption. He has contributed to standards like XACML and CORBA security specifications and co-authored books on web services and EJB security. Professor Beznosov actively collaborates with industry partners (e.g., Samsung, Symetria) and serves on editorial boards for ACM Transactions on Information and System Security (TISSEC) and the International Journal of Secure Software Engineering (IJSSE).

Alan DavidsonView profile

Senior Lecturer

• Electronic Commerce Law
• International Trade Law
• Banking Law
• +3 more

Dr Alan Davidson is a Senior Lecturer at the TC Beirne School of Law, University of Queensland. He is a solicitor and barrister of the Supreme Court of New South Wales and the High Court of Australia. Prior to academia, he practiced law for over a decade and held roles including Assistant Professor at Bond University, Lecturer at Queensland University of Technology (acting Head of School), and Associate Dean at James Cook University before joining UQ in 1997. Education: PhD (International Banking Law), Masters (Law), Postgraduate Diploma, and BA from The University of Queensland and University of Wollongong. Research focuses on electronic commerce law, international trade finance, law and technology, and privacy. He participates in UNCITRAL Working Group IV (Electronic Commerce), contributing to global legal frameworks like the Model Law on Electronic Transferable Records. He is a Fellow of the Institute of International Banking Law and Practice and UNCCA’s Education Director, facilitating student participation in international legal forums. Key publications include Social Media and Electronic Commerce Law (Cambridge Press) and numerous contributions to journals such as Documentary Credit World and Australian Law Journal . His work addresses digital transformation in trade, electronic documentation, and cross-border legal harmonization. Awards: Fellowships with the Institute of International Banking Law and Practice and UNCCA. Teaching includes courses on International Trade Law, Banking Law, and Electronic Commerce Law. He has been a visiting academic in the US, Asia-Pacific, and China.

Ryan CatterwellView profile

Senior Lecturer

• Contract Law
• Contract Interpretation
• Legal Cognition
• +1 more

Dr. Ryan Catterwell is an Adjunct Senior Lecturer at the TC Beirne School of Law, University of Queensland, specializing in contract law interpretation and automation in legal frameworks. His research examines cognitive aspects of contractual interpretation and the impact of automation on legal practice. Education includes combined Arts/Law degrees with First Class Honours from the University of Tasmania (2011) and admission to the Victorian Bar (2011). Research Focus: Catterwell's scholarship centers on theoretical and practical dimensions of contract law: Cognitive processes in contractual interpretation Automated analysis of legal documents Institutional frameworks in contract law Risk allocation in commercial agreements Digital asset classification Recent publications explore intention limitations in contracts and computational approaches to legal interpretation, with increasing emphasis on cryptocurrency regulation and AI applications in contract law.

Arash ShaghaghiView profile

Senior Lecturer

• Cybersecurity
• Internet of Things (IoT) Security
• Zero Trust Architecture
• +4 more

Arash Shaghaghi is a Senior Lecturer in Cyber Security and Acting Director of Online Education at the School of Computer Science and Engineering (CSE) at UNSW Sydney. Previously affiliated with RMIT University, Deakin University, Data61 CSIRO, The University of Melbourne, and The University of Texas at Dallas, he holds a PhD in Computer Science and Engineering from UNSW Sydney, an MSc in Information Security from University College London, and a BSc with Distinction from Heriot-Watt University. His research spans cybersecurity with emphasis on IoT security, zero trust architecture, blockchain applications, and posthumous data management. With over 1.7 million AUD in research funding as Lead CI/CI, his work addresses critical challenges in intelligent transport systems, quantum-safe security, and digital legacy solutions. He serves as Associate Editor for the Journal of Ad Hoc Networks and reviews for top conferences including NDSS and IEEE S&P. His 15 most recent publications demonstrate expertise in IoT security frameworks, digital will solutions, encrypted traffic analysis, and vulnerability prediction models. These works appear in premier venues like IEEE TDSC, IEEE S&P, and ACM WWW, reflecting his leadership in solving practical security challenges for emerging technologies. Early Career Academic Excellence Award (Research), UNSW Engineering, 2024 Educational Excellence & Innovation Award, UNSW Engineering, 2023 Heidelberg Laureate Forum Selection (Top 200 young scientists), 2023 Best Demo Award, IEEE LCN Conference, 2020 As an award-winning educator, Shaghaghi leads UNSW's Master of Cyber Security online programs and previously directed Deakin University's Graduate Certificate in Information Technology. His research team includes postdocs, software developers, and 3 current PhD students. He actively engages with media outlets including ABC and The Guardian on cybersecurity topics, particularly digital legacy management and IoT security.

Godwin KavaarpuoView profile

Lecturer

• Property Economics
• Urban Development
• Housing Policy
• +4 more

Dr Godwin Kavaarpuo is a Lecturer in Property at the Melbourne School of Design, University of Melbourne. He focuses on student-centric teaching and integrates industry experience from Ghana and Australia, including roles at the African Development Bank and Ghana's Ministry of Works and Housing. His research emphasizes sustainable property investments, property technology (blockchain applications), and affordable housing. Godwin's work bridges academia and practice through longitudinal studies on homelessness service utilization in Melbourne and innovative housing finance mechanisms. Previously at RMIT University’s Unison Housing Research Lab, he analyzed data from major homelessness service providers to inform policy strategies. He is a member of the Australian Property Institute. His research outputs span urban development, property economics, and housing policy. Key areas include transaction costs in construction innovation, climate impacts on homeownership, and social housing demand analysis. He has published in Q1 journals like Cities and Journal of Property, Planning and Environmental Law. Dr Kavaarpuo’s interdisciplinary approach combines economic analysis, policy evaluation, and technology applications to address urban challenges. His work highlights the intersection of housing affordability, technological adoption, and sustainable urban development.

Thomas PuschmannView profile

Researcher

• FinTech
• Sustainable Finance
• Blockchain Technology
• +3 more

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.

Alexandre BovetView profile

Assistant Professor

• Complex Systems
• Network Science
• Social Media Analysis
• +7 more

Prof. Dr. Alexandre Bovet is an Assistant Professor in Quantitative Network Science at the Department of Mathematical Modeling and Machine Learning (D3ML), Faculty of Science, University of Zurich. He holds a PhD in Physics from EPFL (2015) and completed postdoctoral research at ETH Zurich, City College of New York, Université catholique de Louvain, and the University of Oxford. He is a member of the Swiss Young Academy and the steering committee of the Winter Workshop on Complex Systems. His research focuses on complex systems and network science, particularly modeling social media dynamics, disinformation propagation, and opinion formation. He develops interdisciplinary approaches combining physics, mathematics, and data science to address societal challenges. Key projects include analyzing polarization in social networks, algorithmic curation on platforms like Bluesky, and fact-checking with large language models. Awardees of SNSF and FNRS fellowships, Bovet leads the ClarifAI project (funded by DIZH) to combat disinformation using AI. His work spans conferences such as NetSci, CompleNet, and CCS, with over 50 publications. Collaborations include institutions like UCLouvain, Oxford, and interdisciplinary teams in computational social science. Bovet advises PhD students like Dorian Quelle and contributes to labs like the Digital Society Initiative (DSI) at UZH. His research bridges theory and practice, addressing real-world issues in media, democracy, and technology.

Kasun De ZoysaView profile

Senior Lecturer

• Computer Security
• Cryptography
• Digital Forensics
• +4 more

Dr. Kasun De Zoysa is a Senior Lecturer at the University of Colombo School of Computing (UCSC), specializing in Computer Security and Cryptography. He holds a B.Sc. (First Class Honours) in Computer Science from the University of Colombo (1993–1997) and a Ph.D. in Computer Security from Stockholm University (1999–2004). His academic roles include coordinating the M.Sc. in Information Security program and advising the Center for Digital Forensic. Research Focus: Secure multi-party transactions, public key cryptography, web security, sensor networks, digital forensics, and ICT4D. Teaching: Undergraduate courses like Programming, Information System Security; postgraduate courses including Network Security, Digital Forensics, and Mobile Application Security. Notable projects include the TikiriDB sensor network framework, mobile ATM systems for developing countries, and wildlife monitoring via infrasound. He has published extensively on sensor networks, cybersecurity, and digital forensics in venues like IEEE MASS, REALWSN, and ICTer.

Thanasis KorakisView profile

Academic

• Wireless Networks
• Access Layer Protocols
• Cooperative Networks
• +7 more

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.

• Computer Networking
• Network Performance Analysis
• Stochastic Network Calculus
• +5 more

Yuming Jiang is a full Professor at NTNU's Department of Information Security and Communication Technology (Faculty of Information Technology and Electrical Engineering). He holds a BSc from Peking University, MEng from Beijing Institute of Technology, and PhD from National University of Singapore (NUS). His research focuses on network performance analysis, stochastic network calculus, and quality of service guarantees in communication networks. He authored the seminal book Stochastic Network Calculus (Springer, 2008). He has held roles including Study Programme Leader for NTNU's Master of Science in Digital Infrastructure and Cyber Security, and is a member of the Norwegian Academy of Technological Sciences (NTVA). Prof. Jiang has extensive experience in academic leadership, serving as conference chair (e.g., IFIP Networking 2014, IEEE Vehicular Technology Conference 2008) and committee roles in major networking communities. His work spans theoretical advancements (e.g., stochastic network calculus properties) and practical applications (e.g., UAV-assisted IoT security, NFV reliability). Key research contributions include modeling wireless channel capacity, analyzing time-sensitive networks (TSN/DetNet), and developing security frameworks for emerging communication systems. His publications (over 150 papers) bridge theoretical foundations and real-world network challenges in areas like energy-efficient communication, cyber-physical systems, and blockchain performance.

Andrea MichienziView profile

Assistant Professor

• Decentralized Social Networks
• Blockchain Technology
• Metaverse
• +3 more

Andrea Michienzi is an Assistant Professor in the Department of Computer Science at the University of Pisa. His research focuses on decentralized social networks, blockchain technology, and the metaverse, with an emphasis on improving privacy, security, and economic dynamics in Web3 environments. He has contributed to frameworks like AWESOME for analyzing Web3 social media and has explored challenges in NFT security, P2E gaming economies, and community management in decentralized systems. Teaching: He instructs the course Basi di dati e Laboratorio di programmazione Web within the Bachelor of Digital Humanities program, emphasizing practical coding and database applications. Research awards: He received a Best Paper Award in 2018 for work related to dynamic community detection in decentralized networks. His publications span topics like bot detection in blockchain games, wealth distribution analysis, and cryptographic protocols for secure messaging. His work integrates computer science, economics, and sociology to address scalability, trust, and ethical challenges in emerging decentralized platforms.

Krishna NarayananView profile

Professor

• Wireless Communications
• Large Language Models
• Information Theory
• +3 more

Dr. Krishna Narayanan is Professor and Edgar and Yolanda Sanchez Endowed Chair in Electrical & Computer Engineering at Texas A&M University. He directs research in AI-native wireless communications, large language models for communication systems, and massive multiple access networks. His research integrates information theory with deep learning to develop novel communication paradigms. Current work focuses on Transformers for wireless estimation, LLM-based text compression, and efficient coding for massive IoT connectivity. Narayanan bridges theoretical foundations with practical implementations across wireless, storage, and computing domains. Publications demonstrate consistent innovation in coding theory applications, from compressed sensing for massive access to analog joint source-channel coding. Recent work explores LLM-powered text compression and Transformers for optimal wireless estimation, establishing new intersections between deep learning and communication theory. Honors include IEEE Communications/Information Theory Societies Best Paper Award (2022) and university-level teaching awards. Narayanan serves as Associate Director for Educational Initiatives at Texas A&M Institute for Data Science, developing curriculum integrating communication theory with AI methodologies.