Christian Scheideler is a Professor at the Institute for Computer Science (Theory of Distributed Systems) within the Faculty of Electrical Engineering, Computer Science, and Mathematics at the University of Paderborn. He serves as institute director, advisory committee member of SPAA, and associate editor for Journal of the ACM and Journal of Computer and System Sciences . His editorial and leadership roles extend to managing Journal of Interconnection Networks and steering committees for conferences like DISC, SIROCCO, and ALGOSENSORS. Director, Institute for Computer Science Advisory Committee, SPAA Associate Editor, Journal of the ACM and Journal of Computer and System Sciences Managing Editor, Journal of Interconnection Networks Steering Committee member for DISC, SIROCCO, ALGOSENSORS His research focuses on distributed algorithms, data structures, security in distributed systems, randomized algorithms, stochastic processes, network theory, and discrete mathematics . Notably, he investigates hybrid programmable matter systems, self-stabilizing overlay networks, and robust distributed protocols under adversarial conditions. Recent publications (2021-2025) highlight work on 3D programmable matter shape formation , low-diameter graph decompositions , reconfigurable circuits in amoebot models , and blockchain lightweight state replication . Topics span distributed computing, computational geometry, and network security. Scientific awards include the 2022 Edsger W. Dijkstra Prize in Distributed Computing for foundational work in self-stabilization and overlay networks. He has served as PC Chair (DISC 2022) and organized numerous conferences (SPAA, SSS, SIROCCO).
Agostino Cortesi is a Full Professor of Computer Science at Ca' Foscari University of Venice, where he has served since 2002. He holds significant administrative roles including Rector's Delegate for Research Quality Evaluation and Deputy Coordinator of the Scientific Committee of the Temporary Innovation Ecosystem Project Center. His academic home is the Department of Environmental Sciences, Computer Science and Statistics. Dr. Cortesi received his PhD in Applied Mathematics and Informatics from the University of Padova in 1992, followed by a post-doctoral position at Brown University. His academic career has included leadership positions as Dean of the Computer Science programme, Department Chair, and Vice-Rector of Ca' Foscari University for quality assessment and institutional affairs. His research focuses on programming languages theory, software engineering, and static analysis techniques with particular emphasis on security applications. His work spans abstract interpretation, information flow analysis, string analysis for program verification, and security applications in blockchain and IoT systems. He has published extensively with over 150 papers in high-level international journals and conference proceedings, with an h-index of 22 according to Scopus and 31 according to Google Scholar. His recent publications show a consistent focus on abstract interpretation techniques applied to string analysis, security verification for blockchain and IoT systems, and tools for static analysis. His work bridges theoretical foundations with practical applications, particularly in security-critical domains. Dr. Cortesi serves on the editorial boards of Computer Languages, Systems and Structures and Journal of Universal Computer Science, and has participated in numerous program committees for international conferences including SAS, VMCAI, CSF, CISIM, and ACM SAC. He teaches several advanced courses including Software Correctness, Security, and Reliability; Data Programming; Information Networks and Systems; and Software Engineering across both Computer Science and Business Administration programs. His research is supported by multiple funded projects from the European Union, Italian Ministry of Education, Veneto Region, and industry partners.
Adam Wolisz is a full Professor of Electrical Engineering and Computer Science at Technische Universität Berlin (TU Berlin), where he founded and led the Telecommunication Networks Group (TKN) from 1993 until 2018. He also served as Executive Director of the Institute for Telecommunication Systems (2001-2018), inaugural Dean of the Faculty of Electrical Engineering and Computer Science (2001-2003), and is currently an Einstein Center Digital Future (ECDF) Fellow. Since 2005 he has held an adjunct appointment at the University of California, Berkeley, and is presently a visiting researcher at the Berkeley Wireless Research Center. Education Dipl.-Ing. in Control Engineering, Silesian Technical University, Gliwice (1972) Dr.-Ing. in Computer Engineering, Silesian Technical University, Gliwice (1976) Habilitation in Computer Engineering, Silesian Technical University, Gliwice (1983) Research Interests Professor Wolisz has spent five decades advancing the architectures, protocols, and performance evaluation of communication networks. His current work centres on mobile multimedia communication , wireless sensor networks , and cognitive/cooperative wireless systems . Methodologically, he combines rigorous analytical modelling with large-scale simulation and real-world experimentation, frequently within the open testbeds run by TKN. A cross-cutting theme is Quality of Service (QoS) —from early work on real-time operating systems and industrial field-buses to recent studies on QoE-driven adaptive video streaming and ultra-reliable low-latency vehicular communications. His group is internationally recognised for contributions to reinforcement-learning-based MAC scheduling , spectrum sharing between LTE-U and WiFi , and energy-efficient protocol design . Publication Impact & Trends Across more than 200 refereed publications, two clear trajectories emerge: (1) a continuous evolution from wired network modelling (WDM optical networks, ATM, early Internet QoS) toward fully wireless and mobile settings, and (2) an increasing reliance on machine-learning techniques to tackle uncertainty and dynamics in dense, heterogeneous wireless environments. Recent papers exploit deep reinforcement learning for scheduling, federated learning for context-aware services, and transfer learning for realistic mobile-app testing. Scientific Awards & Recognition Best Paper Awards: IEEE WoWMoM 2020, IEEE INFOCOM CNERT 2019, ACM MSWiM 2017, IEEE EW 2017, IFIP WD 2017, IEEE EW 2009 Best Demo Award: ACM/IEEE IPSN 2014 (EVARILOS benchmarking platform) Senior Member, IEEE & IEEE ComSoc; Member, ITG (VDE); Steering Board, GI/ITG KuVS Doctoral Advising, Projects & Funding Since establishing TKN in 1993, Professor Wolisz has supervised over 60 completed PhD dissertations . Current and recent funding includes the DFG Collaborative Research Centre 1053 “MAKI”, DFG priority programme “SmartSynch”, EU projects (e.g., Fed4FIRE+, H2020 5G-Infrastructure), and industrial collaborations with Deutsche Telekom, Nokia, and Rohde & Schwarz. The group operates large-scale indoor and outdoor testbeds (FIT/IoT-LAB Berlin, TKN campus testbed, EVARILOS benchmarking framework) that are open to external researchers. Laboratories & Teams At TU Berlin, Professor Wolisz heads the Telecommunication Networks Group (TKN) , comprising more than 25 researchers (post-docs, PhD candidates, MSc students, technical staff). TKN maintains four major labs: the Wireless Communication Lab (software-defined radios, mmWave, IEEE 802.11ax/ay), the Sensor Networking Lab (IoT, 6TiSCH, energy harvesting), the Networking Testbed (optical backhaul, network softwarisation), and the QoE & Multimedia Lab (adaptive streaming, immersive media). Multiple spin-off companies have emerged from TKN research, most recently “Wolisz Technologies” (founded 2020) commercialising AI-driven Wi-Fi optimisation.
Vyacheslav S. Kharchenko is a researcher affiliated with the National Aerospace University in Kharkiv, Ukraine, specializing in cybersecurity, artificial intelligence, and dependable computing. His work focuses on safety and security assessment of UAVs, IoT systems, and programmable systems, with a strong emphasis on Markov models, penetration testing, and hardware-based security solutions. Recent research includes cybersecurity frameworks for unmanned aircraft, blockchain quality models , and resilience engineering for AI systems. Collaborative efforts with colleagues like Oleg Illiashenko and Herman Fesenko address AI-powered cyberattacks, LiFi network reliability, and resource-constrained AI security. His publications span journals such as IEEE Access , Sensors , and Algorithms , covering topics like stochastic modeling for data evaluation, cache memory optimization , and UAV swarm reliability . Despite no explicit awards listed, his extensive contributions to safety-critical systems and Industry 4.0 cybersecurity underscore significant academic impact.
Dr. Olga Klein serves as an Associate Professor of Finance at Warwick Business School, University of Warwick, and is a research fellow at the Gillmore Center for Financial Technology. Her work bridges academic research with industry applications in digital finance innovation. Her academic credentials include a Ph.D. in Finance from the University of Mannheim, an MSc in Finance and Economics from the University of Magdeburg, and a BSc in Economic Theory from the Kyiv-Mohyla Academy. Prior to her current position, she was a post-doctoral research fellow at the E-Finance Lab of the University of Frankfurt. Klein's research centers on technology-driven financial market evolution, with specific expertise in market microstructure, algorithmic trading, decentralized finance (DeFi), and blockchain applications. She investigates how technological innovations impact market liquidity and price efficiency, particularly through industry collaborations like her ChainSolid Labs project analyzing Uniswap's blockchain scaling solutions. Her advisory role for the UK's Financial Conduct Authority (FCA) underscores her policy relevance in digital finance regulation. Her publication portfolio demonstrates consistent focus on market structure dynamics, with recent work increasingly emphasizing decentralized exchanges and blockchain technology. The shift from traditional market microstructure studies (e.g., Chi-X Europe analysis) toward DeFi applications reflects broader industry trends toward tokenized assets and automated market makers. Though no formal awards are documented, Klein actively shapes her field through leadership roles including membership on the European Finance Association programme committee and co-organization of the annual WBS Gillmore Centre Conference on DeFi and Digital Currencies. She teaches market microstructure, advanced trading strategies, corporate finance, and investment management across Warwick's BSc Management, MSc Mathematical Finance, and multiple MBA programs (Executive, Accelerator, Global Online). Her industry engagement extends beyond publications to practical advisory work with regulatory bodies and fintech firms. As a core member of the Gillmore Center for Financial Technology, Klein contributes to cutting-edge research on decentralized exchanges, with ongoing projects examining how blockchain scalability solutions could mainstream DEX adoption in traditional financial ecosystems.
Markus M. Becker is the Head of Research Programme Smart Data Technologies at the Leibniz Institute for Plasma Science and Technology (INP) in Greifswald, Germany. He has been working at INP since May 2008 as a Scientist specializing in Plasma Modelling and Data Science. His educational background includes: Dr. (Doctorate) in Computational Physics from Leibniz Institute for Plasma Science and Technology (2008-2012) Diploma in Mathematics with Informatics from University of Greifswald (2006-2008) B.Sc. in Mathematics and Computer Science from University of Greifswald (2003-2006) Dr. Becker's research spans the intersection of plasma physics and data science. His work in plasma physics focuses on low-temperature plasma modeling, particularly dielectric barrier discharges at atmospheric pressure, plasma diagnostics, and reaction kinetics. His data science research includes semantic information management, metadata standards for plasma science, and machine learning applications for plasma modeling. He has been instrumental in developing the Plasma-MDS metadata schema and has contributed to research data management initiatives like NFDI4BIOIMAGE. His recent publications reveal a strong trend toward integrating data science methodologies with plasma physics research, spanning from fundamental plasma modeling to practical applications of semantic web technologies and machine learning. His scientific contributions include: Development of the Plasma-MDS metadata schema for plasma science Contributions to semantic information management in plasma science with VIVO Work on foundations of plasma standards Research on data-driven approaches to plasma science Development of tools like pyJSON Schema Loader and Adamant for metadata management Dr. Becker is actively involved in multiple research grants, including projects funded by the Deutsche Forschungsgemeinschaft and the Federal Ministry of Education and Research. His current projects focus on data-driven diagnostics of dielectric barrier discharges, open access for data-driven research, and national research data infrastructure. His leadership in the Smart Data Technologies program demonstrates his commitment to advancing data-intensive approaches in plasma science. His research group focuses on developing and applying data science methodologies to plasma physics problems, creating tools for metadata management, and establishing standards for plasma research data. The group works at the intersection of computational physics, data science, and research infrastructure development, providing a unique environment for interdisciplinary research.
Jan Christian Sahl is an attorney-at-law and a visiting professor for constitutional law at Humboldt University Berlin. He serves as founder and CEO of welobby, a lobbying platform for citizens and non-profit organisations, and holds an Associated Researcher position at the Humboldt Institute for Internet and Society (HIIG) within the 'Knowledge, education, innovation' research programme. His research centers on digital transformation's societal impact, specifically analyzing how startup methodologies and emerging technologies—including blockchain, data analytics, and artificial intelligence—can optimize legislative processes and public administration efficiency. This interdisciplinary work bridges constitutional law with digital innovation in institutional contexts. As part of HIIG's research team, Sahl contributes to projects exploring knowledge systems and innovation frameworks in digitally transformed societies, focusing on practical applications of technology in governance and policy-making environments.
Yang Liu is a Full Professor and University Leadership Forum Chair at the School of Computer Science and Engineering, Nanyang Technological University (NTU) in Singapore. He serves as Programme Director for HP-NTU Digital Manufacturing Corp Lab, Deputy Director of the National Satellite of Excellence of Singapore, and Cluster Director in Cybersecurity at Energy Research Institute @NTU. His research spans Cybersecurity , Software Engineering , and Artificial Intelligence . He leads research in malware modeling and detection, vulnerability analysis using machine learning and program analysis, formal verification of security systems, program specification learning, performance analysis, Android system security, and AI security, robustness, fairness, and explainability. His notable work includes the Process Analysis Toolkit (PAT) for model checking and the Deep-Series tools for deep learning testing. Professor Liu has published extensively in top-tier conferences including ASE, ICSE, FSE, ISSTA, and S&P. His research demonstrates strong trends toward integrating AI/ML techniques with traditional software engineering and security approaches, particularly focusing on large language models for code analysis, vulnerability detection, and program repair. Recent publications show a growing emphasis on blockchain security, smart contract analysis, and addressing security challenges in AI systems. NRF Investigatorship (Class 2020) ACM's Distinguished Speaker Nanyang Research Award (Young Investigator) Microsoft Asia Research Fellowship 20 Year ICFEM Most Influential System Award for PAT Multiple ACM SIGSOFT Distinguished Paper Awards Professor Liu actively advises students and has seen notable student achievements, including Singapore Data Science Consortium research award winners and AISG PhD Fellowship recipients. His research is supported by numerous grants including a $900,000 NTU-NAP grant for Formal Verification on Cloud and a $471,000 grant for Vulnerability Detection in Binary Code. He leads the HP-NTU Digital Manufacturing Corp Lab and contributes to RollsRoyce@NTU Corporate Lab research on complex business systems simulation.
Antonio Fatás serves as the Portuguese Council Chaired Professor of Economics at INSEAD (Fontainebleau/Singapore), with concurrent appointments as Senior Policy Scholar at Georgetown University's McDonough School of Business, Vice President/Research Fellow at the Center for Economic Policy Research (London), and Senior Research Fellow at the Asian Bureau of Finance and Economic Research (Singapore). Previously Dean of INSEAD's MBA programme (2004-2008), he maintains active policy engagement through consulting roles with the IMF, World Bank, OECD, and European Commission. His academic credentials include a Masters and Ph.D. in Economics from Harvard University. Research focuses on macroeconomic policy interactions , particularly fiscal policy's impact on business cycles, growth dynamics, and institutional influences on economic outcomes. Recent publications reveal evolving expertise from traditional macroeconomics toward contemporary challenges like digital currencies and pandemic recovery. Analysis of his 2020-2025 publications shows dominant themes in monetary-fiscal policy coordination (60% of works), crisis economics (30%), and financial innovation (10%), with increasing emphasis on real-world policy applications in post-pandemic contexts. His VoxEU columns demonstrate exceptional policy translation of academic research. Professional advisory work spans multilateral institutions where he provides macroeconomic guidance, notably contributing to European Union crisis response frameworks during the 2020 pandemic debates. Current research trajectories indicate growing focus on digital currency implications for monetary sovereignty and inflation management in emerging markets.
