Dr. Maria Tatsiou is a Lecturer in Financial and Corporate Law at UCLan Cyprus, serving as Deputy Course Leader for Master of Laws (LL.M) programs. She holds a PhD in Law (University of Manchester, 2019) alongside advanced degrees in Corporate Governance and Law. Her research focuses on Commercial Law, Corporate Governance of financial institutions, Contract Law, and International Dispute Resolution mechanisms. Teaching roles include leading courses such as International Corporate Governance, EU Economic Governance, and International Commercial Arbitration. She has held administrative roles including Senate Committee membership and Erasmus+ program coordination. Professional activities include serving as an arbitrator in the Vis Moot Arbitration Competition and contributing to FIDE Cyprus’ Board of Directors. Her scholarly engagement spans academic publications, moot court coaching, and outreach initiatives including structured dialogue workshops with CAN-CY. She maintains affiliations with research centers like ICLAIM and participates in international legal networks such as the International Federation of European Law.
Laura Valtere is a Research Fellow affiliated with the University of Copenhagen’s Centre for Advanced Studies in Bioscience Innovation Law (CeBIL). She holds a Dr. iur. from the Max-Plank-Institute for Innovation and Competition/Ludwig Maximilian University (2024), an LL.M. in European and International Business Law (2018), and a Mag.Iur. in Law (2014) from the University of Latvia. Her professional journey includes roles such as Postdoctoral Fellow (CeBIL), Research Fellow (Ludwig-Maximilians-Universität München, 2022–2023), R&D Specialist at the University of Luxembourg (2022–2024), and legal consultancy with Latvia’s Ministry of Justice (2012–2013). Her research focuses on IP law and biosolutions, with emphasis on genomic techniques, novel foods, sustainable healthcare innovation, antimicrobial resistance, and advanced therapy medicinal products. She explores regulatory frameworks for biobased innovations, AI applications in healthcare and agriculture, and non-patent-based incentives for innovation. Her work intersects pharmaceutical regulation, patent law, and comparative legal systems. Key publications include a forthcoming Springer monograph on personalized medicine and IP regulation, GRUR Int articles analyzing patent and regulatory exclusivity dynamics, and EU Commission studies on supplementary protection certificates. Her work highlights trends in balancing IP rights with public health needs and harmonizing cross-jurisdictional regulations. While no scientific awards are listed, her contributions to EU policy research and comparative IP analysis demonstrate significant scholarly impact. Her advisory roles include contributions to regulatory frameworks in the EU and non-EU jurisdictions. She is affiliated with CeBIL, a multidisciplinary hub for bioscience innovation law.
Michał Pióro is a Professor at the Institute of Telecommunications and Cybersecurity within the Faculty of Electronics and Information Technology at the Warsaw University of Technology. His research focuses on telecommunications, networking optimization, and resilient network design with a particular emphasis on SDN security, wireless sensor networks, and adverse weather resilience. He has published extensively in top journals and conferences including Networks and IEEE Transactions . Key research areas include: Optimization of network controller placements against targeted attacks Resilience strategies for SDN architectures MIMO-based industrial network scheduling Free-space optics (FSO) network reliability in adverse conditions Game-theoretic approaches to network security Recent work highlights joint optimization of primary/backup controllers for SDN resilience and novel scheduling techniques for industrial control traffic using Massive MIMO systems. His research frequently intersects with practical applications in critical infrastructure and 5G deployments. He has collaborated extensively with researchers from institutions like INRIA (France), Telecom ParisTech, and multiple industry partners. His work has been supported by grants focusing on resilient communication networks and cybersecurity innovations.
Elena Andreeva is a tenure-track Assistant Professor in the Security and Privacy department at TU Wien. Her research focuses on symmetric cryptography, including authenticated encryption, block ciphers, hash functions, privacy-friendly protocols, and blockchain technologies. She coordinates the Double-Degree Program in IT Security and actively participates in the Faculty Council. Her work emphasizes both theoretical foundations and practical cryptographic solutions for secure data communication and storage. Research interests include designing and analyzing cryptographic algorithms with applications in IoT-to-cloud secure computation, lightweight encryption schemes, and quantum-resistant primitives. Her projects, such as SFB SPyCoDe (2023–2026), explore efficient compression functions and expanding PRFs for arithmetization-oriented hashing. Articles Overview : Recent publications emphasize authenticated encryption schemes (e.g., COLM), pseudorandom number generators (TPRF-based), and novel cryptographic designs like Forkcipher. These contributions address both theoretical security models and practical efficiency in resource-constrained environments. She advises students on master/bachelor theses and internships, fostering the next generation of cybersecurity researchers. Her involvement in curriculum development and interdisciplinary programs underscores her commitment to advancing both academic and applied cryptography.
John Zheng Shen is a Professor and Director at the School of Mechatronic Systems Engineering at Simon Fraser University. He holds a Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute (1994) and has over 30 years of experience in power electronics, renewable energy systems, and semiconductor device research. His work bridges academia and industry through extensive patent development and conference leadership. Education Ph.D. in Electrical Engineering, Rensselaer Polytechnic Institute, USA (1994) M.S. in Electrical Engineering, Rensselaer Polytechnic Institute, USA (1991) B.S. in Electronic Engineering, Tsinghua University, China (1987) Shen's research focuses on power electronics , fault protection in microgrids , and transportation electrification . His recent publications emphasize DC circuit breaker design, hybrid converter optimization, and stability analysis in renewable energy systems. He has contributed to over 300 peer-reviewed papers and holds 18 U.S. patents. Shen has received multiple accolades including the NSF CAREER Award , IEEE Fellow , and Motorola Science and Technology Award . He has served in leadership roles for IEEE Power Electronics Society and organized over 30 international conferences.
Tito Boeri is an Italian economist currently serving as President of the Italian social security administration (INPS) while on leave from several academic positions. He is Professor of Economics at Bocconi University's Department of Economics, Dean for Research at Bocconi University, BP Centennial Professor at London School of Economics, and Scientific Director of the Fondazione Rodolfo Debenedetti. He maintains extensive affiliations including Research Fellow of the Centre for Economic Policy Research (CEPR) of London, Research Associate of the Centre for Economic Performance at LSE, and Research Fellow of IZA (Institut zur Zukunft der Arbeit) of Bonn. Boeri earned his Ph.D. in Economics from New York University in 1990 with a dissertation titled "An Analysis of Firm Growth and Specialization," supervised by William J. Baumol, Cristopher J. Flinn and Boyan Jovanovic. He received his undergraduate degree in Economics from Università Commerciale "Luigi Bocconi" in 1983. Prior to his current positions, he held significant roles at the OECD from 1986-1996, including Principal Administrator and Acting Head of Division at the OECD-Centre for Co-operation with the Economies in Transition. His primary research focuses on Labour Economics, Political Economics, and Transition Economics, with substantial contributions to understanding labor market institutions, unemployment dynamics, migration effects, pension systems, and the political economy of reform. Boeri has published numerous books with Oxford University Press, MIT Press, and Princeton University Press, and his articles have appeared in top journals including American Economic Review, Journal of Economic Perspectives, Economic Policy, and European Economic Review. Boeri's publication record shows consistent scholarly output addressing critical economic policy issues, particularly those related to European labor markets. His work spans theoretical analysis and empirical research on topics including minimum wage policies, flexicurity arrangements, immigration impacts, and pension reforms, demonstrating both academic rigor and policy relevance. 2012 Gozzo d'Argento, International Award for Economic Journalism 2010 Association of Persons seriously Injured at Work Prize Multiple Excellence Research Awards from Università Bocconi (1999-2010) 2008 Gold medal of the Province of Milan 2007-8 First Willem Duisenberg Fellow at NIAS 2006 MIUR grants and Award Marinella Municipality 2004 Award of the Italian Lower Chamber for labor market studies 1997 Jean Monnet Fellowship at European University Institute Boeri has advised numerous international organizations including the OECD, ECB, European Commission, IMF, World Bank, and ILO, as well as multiple EU presidencies and Italian governmental bodies. He founded the influential economic policy website lavoce.info and co-founded voxeu.org, serving as Scientific Director of the Festival of Economics in Trento. He is a Fellow of the European Economic Association and member of the Academia Europaea. As a public intellectual, Boeri serves on editorial boards of major economics journals, contributes to prominent newspapers including "Repubblica," Financial Times, and Le Monde, and has held leadership roles including Director of DIEM at Bocconi University (2001-2006) and membership on various government commissions addressing economic policy challenges.
Giove De Cosmo is a Post-Doctoral Research Assistant in Numerical Modelling within the Department of Engineering Science at the University of Oxford. He works in the Computational Fluid Dynamics group under Prof Luca di Mare, focusing on gas turbine simulations and ice accretion in aircraft engines. His roles include teaching assistantship with lab demonstrations and tutoring. MEng(Hons) in Mechanical Engineering (2018) MRes in Fluid-Dynamics (2019) PhD in Computational Fluid Dynamics (2023) His research spans computational fluid dynamics, gas turbines, and particle-laden flows. Recent work includes numerical modelling of ice accretion in collaboration with Rolls-Royce plc. Projects involve turbine rim-seal LES, URANS analysis, and film cooling dynamics. Article trends highlight expertise in CFD solver development Turbine flow structures Non-reflecting boundary conditions Ice accretion simulation Proper Orthogonal Decomposition Flow field accuracy He is involved in the Oxford Thermofluids Institute and contributes to teaching activities in the department.
Dr. Andrea Loreto is a Research Fellow and Research Group Leader at the University of Sydney's School of Medical Sciences within the Faculty of Medicine and Health. He leads the Axon Degeneration Lab at the Charles Perkins Centre and co-leads the Biology program of ORCA (Optic Nerve Research Collaborative Australia). His research focuses on translational approaches to prevent axon degeneration in diseases like glaucoma and toxic neuropathies, leveraging human iPSC-derived neurons and advanced in vitro models. Dr. Loreto earned his PhD from the University of Nottingham (2018) and completed postdoctoral training at the University of Cambridge and Oxford, supported by a prestigious Sir Henry Wellcome Fellowship (Wellcome Trust). He joined the University of Sydney in 2023 with a 2023 FMH Start-up Grant from the Faculty of Medicine and Health. Research interests include axon degeneration mechanisms, neuroprotection through NAD+ signaling, Schwann cell-glial interactions, and optic nerve disorders. His work bridges basic science and clinical translation, aiming to identify therapeutic targets like NMNAT2 and SARM1. Affiliations: Charles Perkins Centre, Centre for Drug Discovery Innovation Grants: 2023 FMH Start-up Scheme Awards: Sir Henry Wellcome Postdoctoral Fellowship Key findings include the role of SARM1 activation in mitochondrial dysfunction and the protective roles of Schwann cells, with publications emphasizing drug discovery for neurodegenerative diseases and aging-related axon degeneration.
Stephen Huang is Professor of Computer Science at the University of Houston's College of Natural Sciences and Mathematics. He directs the Center for Cybersecurity Research and has held administrative roles including Department Chairman and Director of Graduate Studies. He received his PhD in Computer Science from the University of Texas-Austin and served as National Research Council-NASA Senior Research Associate at NASA Goddard Space Flight Center. His 40+ year career encompasses cybersecurity research, algorithm design, and academic leadership. Research focuses on intrusion detection systems, malware analysis, network security, and applied algorithms. His work integrates machine learning with security applications, particularly in anomaly detection and behavioral analysis. Recent projects include NSA-funded research on automated intrusion detection through metadata traffic analysis. Publications demonstrate progression from foundational algorithms to advanced AI applications in security. Recent articles focus on VPN detection, Android malware analysis, and large language model interpretability, consistently applying computational theory to cybersecurity challenges. He leads the GAANN Fellowship Program in Cybersecurity and Research Experience for Undergraduates (REU) initiatives. His laboratory develops practical security solutions through collaborations with government agencies and industry partners.
Charalampos Anastasiou is a Full Professor of Theoretical Particle Physics at ETH Zurich's Department of Physics. He leads research in quantum field theory and its applications to particle physics phenomenology, particularly in predicting Higgs boson signals at the Large Hadron Collider (LHC). His work includes developing mathematical methods for Feynman diagrams and precision calculations for collider experiments. He has held academic positions at ETH Zurich since 2007, including Associate Professor (2010–2013) and Full Professor (2013–present). His career includes research roles at CERN and Stanford Linear Accelerator Center. Education: Ph.D. in Particle Theory, Durham University, UK (2001) Research Interests: Anastasiou's research focuses on advancing theoretical frameworks for particle physics, with emphasis on perturbative quantum field theory, collider phenomenology, and precision calculations for Higgs boson interactions. His work bridges mathematical rigor and experimental validation, contributing to the understanding of fundamental forces and particle interactions. Publications: His recent publications span superconducting magnet design for future colliders, quantum-resistant cryptographic methods, and material science studies. These reflect his interdisciplinary approach to addressing challenges in high-energy physics and technology. Awards & Grants: ERC Advanced Grant: PertQCD (2016) ERC Advanced Grant: IterQCD (2010) University Latsis Prize (2009) Advising & Labs: Anastasiou collaborates on projects like the Muon Collider and LHC upgrades. His lab develops novel superconducting magnet technologies and computational tools for high-energy physics experiments. He actively contributes to international initiatives like the Future Circular Collider (FCC) and European Strategy for Particle Physics.
Dr. Sye Loong Keoh is an Associate Professor in the School of Computing Science at the University of Glasgow (Singapore campus) and Director of Research Programmes. He holds a PhD in Computing from Imperial College London and previously served as Senior Scientist at Philips Research Eindhoven. Research focuses on cyber-security for Internet of Things, including lightweight authentication protocols, key management schemes, and end-to-end communication security. Recent work explores data provenance in IoT environments and security for building management systems. Recent publications demonstrate strong focus on machine learning applications in transportation (38%), IoT security (25%), and educational technology (25%), with emerging work in adversarial robustness and formal methods. Research consistently bridges theoretical security concepts with practical implementations in smart cities and industrial systems. Leads cybersecurity research activities at University of Glasgow Singapore where his team has developed multiple authentication protocols for IoT and industrial control systems. Research funded by National Cyber Security Centre, EPSRC, Meta Reality Labs, and PETRAS National Centre.
Dongzhu Liu is a Lecturer in Cybersecurity at the School of Computing Science, University of Glasgow. He received his PhD from the University of Hong Kong in 2019 and B.Eng. from the University of Electronic Science and Technology of China in 2015. Previously, he was a postdoctoral researcher at King's College London. His research focuses on: Communication-efficient federated learning systems Privacy-preserving machine learning techniques Bayesian learning methods for distributed systems Edge AI optimization and wireless network integration His recent publications demonstrate strong focus on federated learning optimizations, Bayesian methods for wireless systems, and privacy-preserving techniques. The research consistently addresses challenges at the intersection of wireless communication and distributed machine learning. Dr. Liu advises several PhD students working on federated learning applications and wireless communication optimizations. His teaching includes courses on Cyber Security Fundamentals and Professional Software Development.
David Lubkeman is a Research Professor Emeritus at North Carolina State University with over 25 years of experience in distribution systems and automation. He holds a Ph.D. in Electrical Engineering from Purdue University and is a licensed professional engineer. His research focuses on: Distribution system automation and management Smart grid technologies and business case analysis Renewable energy integration and large-scale energy storage Microgrid formation and resilient load restoration His recent publications address microgrid management, under-frequency load shedding, and hierarchical frameworks for resilient power systems. He has authored more than 40 publications and holds 13 US patents.
Associate Professor Lorna Hallahan is affiliated with Flinders University in the College of Education, Psychology and Social Work . She holds a PhD from Flinders University and a Bachelor of Social Work from the University of Queensland (1982). Her career includes leadership roles as Head of Flinders Social Work (2014–2019), President of the Australian Council of Heads of Schools of Social Work, and Chair of the Flinders Social and Behavioural Research Ethics Committee. She has been a Senior Research Advisor to the Royal Commission into Violence, Abuse, Neglect and Exploitation of People with Disability (2019–2020). Her research focuses on ethical practice in social work , disability policy analysis, child protection, and innovative service frameworks. Key areas include the National Disability Insurance Scheme (NDIS) evaluation, adoption law reform, and ethical challenges in complex human services. She contributes to the UN Sustainable Development Goals related to quality education and reduced inequalities. Lorna serves on multiple boards including the SA Premier's Women's Council, NHMRC Research and Advisory Committee on COVID-19, and Relationships Australia SA. Her work emphasizes intersectionality between policy, practice, and lived experience. Her recent publications analyze pandemic impacts on disabled populations, inclusive research methodologies, and moral philosophy in social work education. Supervision focuses on ethics in social work practice and refugee-related case studies.
Antonios Michalas is a Professor at Tampere University's Department of Computing Sciences, leading the Network and Information Security group (NISEC). His expertise spans Applied Cryptography, Privacy-Preserving Technologies, and Cyber Security. He holds a PhD from Aalborg University and has held roles from Assistant Professor to Professor at institutions including Tampere University, University of Westminster, and RISE Sweden. His research focuses on securing communication protocols, privacy in machine learning, and blockchain fairness. He actively contributes to projects like PiQASO (Post-Quantum Cryptography transition) and HARPOCRATES (privacy in health data). Education: PhD in Provable Security and Privacy (Aalborg University, 2013), MSc in Information Technology & Telecommunications (Athens Information Technology, 2007), BSc in Theoretical Mathematics (University of Crete, 2006). Research Interests: Developing cryptographic schemes for encrypted data operations, privacy-preserving machine learning, blockchain fairness, and secure IoT systems. Recent work includes privacy-preserving video classification, hybrid homomorphic encryption, and mitigating attacks in split learning. Grants/Projects: Leads PiQASO (Digital Europe), FACILITATE (EU), and ASCLEPIOS (EU health data security). Published over 50 peer-reviewed papers, with a focus on functional encryption, secure protocols, and privacy-preserving analytics. Teaches security and cryptography courses, emphasizing practical programming assignments and theoretical security analysis. Labs/Teams: NISEC group conducts cutting-edge research in cryptography and security, with activities spanning theoretical foundations to real-world implementations. Collaborates internationally on projects addressing post-quantum cryptography, cloud security, and privacy in health systems.
