Kyle Moore is a Lecturer in Digital Media at Swinburne University of Technology's School of Social Sciences, Media, Film and Education. He holds a PhD in media and communications from the University of Sydney, focusing on games in urban environments. Current research: Mobile gaming distributions, location-based technology, augmented reality, and digital play cultures Teaching areas: Social media networks, media industries, and data communication Supervision: Available for PhD/Master's candidates in mobile technology and digital cultures His research explores intersections between location-based games and urban environments, examining how digital play shapes public space representation and access. Recent publications include analyses of Pokémon GO's haptic effects and Fortnite's cultural impact. Current grant: Supporting resilient HIV-positive community connections on digital platforms and technologies (2025-2026) at Swinburne University. Previously published in top-tier journals like Games and Culture , Convergence , and Media International Australia .
Eirik Valseth is an Associate Professor of Scientific Computing at the Norwegian University of Life Sciences (NMBU), Department of Data Science. He holds concurrent roles as a research associate at the Oden Institute, University of Texas at Austin, and an affiliated researcher at Simula Research Laboratory (Department of Numerical Analysis and Scientific Computing). His expertise lies in advanced finite element methods for PDEs with applications in flood modeling and hydropower systems. Current Affiliation: NMBU (Norwegian University of Life Sciences) Secondary Affiliations: Oden Institute (UT Austin), Simula Research Laboratory Research interests span numerical methods for challenging PDE systems, including: Stabilized finite element formulations Hurricane storm surge and riverine flood modeling Hydropower infrastructure analysis Computational mechanics and applied mathematics His recent publications (2024–2025) emphasize flood risk assessment (compound flooding, dam breaks, dredging impacts), advanced numerical methods (isogeometric analysis, stochastic finite elements, graph-grammar algorithms), and environmental applications (pollution transport, pathogen distribution, mosquito population dynamics after hurricanes). Key trends include cross-disciplinary integration of physics-aware machine learning and robust hydrodynamic simulation tools. Valseth's work extends to software development (e.g., WAVEx for spectral wave models, SWEMniCS for coastal circulation) and large-scale modeling frameworks like the ADCIRC unstructured mesh model for US coasts. Collaborative projects involve institutions such as University of Texas at Austin, Simula, and NOAA.
Dr. Quynh Do is an International Lecturer (Assistant Professor) in Logistics and Supply Chain Management at The Management School, Lancaster University . Her research focuses on innovative pathways towards sustainable and circular supply chains , addressing critical issues such as waste reduction, decarbonisation, worker rights, and empowerment of marginalized actors like farmers and workers. Her work explores the digital and social innovations that drive ethical sourcing and systemic change, with applications in the textile, food, and manufacturing sectors . She collaborates with organizations such as Reverse Resources, Renewcell, and the Global Fashion Agenda to promote transparent and responsible sourcing practices. 2025: Big data analytics and supply chain learning for resilience and financial performance. 2024: Circular food waste management in Italian fish manufacturing, stakeholder collaborations in fast fashion, digital platforms for waste exchange, and power dynamics in circular supply chains. 2023: Organizational resilience during the pandemic, legitimacy-seeking behaviors in circular transitions, and data-driven supply chain learning. 2022: Global value chain restructuring post-COVID, institutional adoption of circular practices in seafood, and resource mobilization via bricolage. 2021: Systematic reviews on food waste and supply chain agility during crises.
Bradley Schmerl serves as a Principal Systems Scientist in the Software and Societal Systems Department (S3D) within Carnegie Mellon University's School of Computer Science. His research advances software engineering practices for modern challenges in distributed heterogeneous systems, self-adaptation, and cyber-physical integration. He leads the ABLE research group and actively mentors students in the Masters in Software Engineering program while teaching core courses like Software Architecture and Software Engineering Practicum. Dr. Schmerl's work addresses critical challenges in composing continuously evolving software systems, including components from untrusted third parties and on-the-fly recomposition for environmental changes. His research develops reusable, analyzable tools for software composition with emphasis on model-based adaptation, uncertainty management, and cross-language integration. Key projects include Rainbow for runtime architecture reflection, Acme for formal architectural foundations, and Cyber-physical Systems research linking software models with physical dynamics. Analysis of his 2023-2025 publications reveals intensifying focus on robotics software architecture (particularly ROS-based systems), explainable AI for architectural tradeoff analysis, and configuration management in adaptive systems. Trends show growing integration of machine learning for auto-tuning, empirical studies of misconfigurations, and dimensionality reduction techniques for visualizing design spaces—consistently bridging theoretical rigor with practical tool development for real-world applications. Scientific Awards: No specific awards were documented in the source materials. Dr. Schmerl serves as Practice Area Lead and mentor in CMU's Masters in Software Engineering program, guiding client projects including Rainbow UI for self-adaptive framework interfaces, CoBot UI for telepresence robots, and Educational Telepresence Tasking Language development. His research receives support through ABLE group projects funded by grants targeting software architecture foundations, adaptation mechanisms, and cyber-physical system validation. As a core member of the ABLE research group, he directs investigations into architecture-based self-adaptation with active projects spanning Rainbow (runtime architecture models for dynamic adaptation), Acme (formal architectural styles and tools), and Cyber-physical Systems (software-physical model integration). The group also maintains legacy work in End-User Architecting, Architecture Evolution, and service-oriented platforms for intelligence analysis through SORASCS.
Rafail Ostrovsky is the Norman E. Friedman Chair in Knowledge Sciences at UCLA Samueli School of Engineering, where he serves as a Distinguished Professor of Computer Science and Mathematics. He also directs the Center for Information and Computation Security at UCLA. His academic leadership extends to his role as a foreign member of Academia Europaea and his fellowship in multiple prestigious organizations including the National Academy of Inventors, AAAS, ACM, IEEE, and IACR. Professor Ostrovsky's research spans multiple domains in theoretical computer science, with primary focus on cryptography, secure computation, and algorithms. His work on garbled circuits, zero-knowledge proofs, and private information retrieval has had significant theoretical and practical impact. He has pioneered research in secure multi-party computation, oblivious RAM, and cryptographic protocols that maintain privacy while enabling complex computations on sensitive data. His research bridges theoretical foundations with practical applications in secure systems, ranging from database security to hardware-based cryptographic primitives. Ostrovsky's publication record shows a consistent trajectory of innovation in cryptographic theory and its applications. His recent work focuses on optimizing secure computation protocols for efficiency while maintaining strong security guarantees, with particular attention to communication complexity, round complexity, and practical implementations. He has made significant contributions to homomorphic encryption, non-malleable commitments, and zero-knowledge proofs, often developing techniques that transform theoretical constructs into practically viable solutions. 1993 Henry Taub Prize 2017 IEEE Computer Society Edward J. McCluskey Technical Achievement Award 2018 RSA Award for Excellence in Mathematics (RSA Prize) 2022 W. Wallace McDowell Award (highest award from IEEE Computer Society) Fellow of National Academy of Inventors, AAAS, ACM, IEEE, and IACR Foreign member of Academia Europaea With over 350 peer-reviewed publications and 16 issued USPTO patents, Professor Ostrovsky has significantly shaped the field of cryptography and secure computation. His mentorship has cultivated numerous students and postdocs who have gone on to make their own contributions to the field. His editorial roles on prestigious journals including Journal of ACM and Algorithmica reflect his standing in the theoretical computer science community. His leadership extends to chairing major conferences including FOCS 2011 and serving on over 40 international conference program committees. As Director of the Center for Information and Computation Security at UCLA, Professor Ostrovsky leads a team focused on advancing the theoretical foundations and practical applications of secure computation. His center serves as a hub for interdisciplinary research connecting cryptography with systems security, network protocols, and hardware security. The center's work spans from foundational cryptographic primitives to real-world applications requiring privacy-preserving computation.
Prakash Loungani is the Program Director and Senior Lecturer for the MS in Applied Economics program at Johns Hopkins University’s Advanced Academic Programs. He previously served as Assistant Director at the International Monetary Fund and held roles at the Federal Reserve System and the University of Florida. He holds a PhD in Economics from the University of Rochester and is an active researcher and commentator in macroeconomics and inequality. Research Interests: Loungani’s work spans a wide range of topics including macroeconomic policy, labor markets, inequality, energy economics, and climate change. His research often explores the distributional effects of economic shocks and policies, with a focus on emerging markets and developing economies. He has contributed significantly to understanding how fiscal and monetary policies impact inequality and how pandemics and energy crises affect economic outcomes. Scientific Contributions: He is the co-author of the book Confronting Inequality: How Societies Can Choose Inclusive Growth and has published extensively in top-tier journals such as Energy Economics , Journal of Economic Inequality , and The Economic Journal . His work has been featured in major media outlets like The New York Times , The Economist , and Financial Times . Teaching and Outreach: In addition to his role at Johns Hopkins, Loungani has taught at SAIS and Carey Business School. He also blogs as the "Unassuming Economist," engaging with public discourse on economic issues.
Dr. George O'Mahony serves as Head of Department of Computer Science at Munster Technological University (MTU) and is a CONNECT Associate Investigator with Research Ireland. He leads Ireland's Cyber Range infrastructure development and acts as WorldSkills Ireland Expert for Cybersecurity Skill 54, driving national cybersecurity initiatives through academia-industry collaboration. Education: B.E. in Electrical and Electronic Engineering, University College Cork (UCC) Ph.D. in Electrical and Electronic Engineering, University College Cork (UCC), 2021 His research pioneers cyber resilience frameworks for OT/IoT systems, zero-trust architectures, and machine learning applications in anomaly detection. He develops low-complexity security solutions for resource-constrained edge devices, with emphasis on wireless sensor networks, GPS applications, and penetration testing methodologies. His work bridges theoretical innovation with practical infrastructure implementation. Recent publications reveal accelerating focus on quantum-resistant cryptography, MQTT-ZT secure brokers, and unified cyber resilience models. His scholarly output consistently addresses interference detection in wireless networks while expanding into satellite communications security and AI-driven network customization, reflecting strategic adaptation to emerging cyber threats. Research Leadership: CONNECT: Associate Investigator advancing cyber security research NCF Cyber Shock: Co-Principal Investigator Cyber Explore: Principal Investigator at MTU Cyber Range: National infrastructure lead (mobile/cloud) Horizon Telemetry: Core research team member As STEM advocate and Cyber Futures Academy contributor, O'Mahony shapes cybersecurity education through WorldSkills Ireland engagement and industry-focused cyber range deployments that serve academic, governmental, and commercial sectors.
Behnam Taebi is Full Professor of Energy & Climate Ethics and Scientific Director of the Safety & Security Institute at Delft University of Technology. He leads TU Delft | The Hague, a university-wide initiative connecting engineering knowledge with public policy. His work bridges technology, ethics, and policy through roles at Harvard University’s Belfer Center (2014–2020) and The Young Academy of the Royal Netherlands Academy of Arts and Sciences (2016–2021). As co-Editor-in-Chief of Science and Engineering Ethics , he contributes to shaping ethical discourse in engineering. BSc in Material Science and Engineering (2006) PhD in Philosophy of Technology (2010) Taebi's research focuses on the ethical dimensions of energy systems, nuclear technology, and climate engineering. He explores intergenerational justice, distributive equity, and responsible innovation frameworks. His work integrates value-sensitive design and moral emotions to address uncertainties in technological risk governance, particularly for nuclear energy and carbon capture. Recent publications highlight ethics in nuclear waste repositories, climate policy metaphors, and synthesizing justice frameworks. His VENI-grant from NWO supports innovative research on technological risks. Collaborations span the OECD Expert Panel on transdisciplinary research and co-editorship of influential volumes like The Ethics of Nuclear Energy (Cambridge, 2015) and Ethics and Engineering: An Introduction (Cambridge, 2021). As Scientific Director of the Safety & Security Institute , he leads interdisciplinary efforts to address societal challenges through engineering ethics. His initiatives emphasize inclusive energy transitions, equitable climate strategies, and bridging technical and social sciences in policy-making.
Ludovic Phalippou is a Professor of Financial Economics at Saïd Business School, University of Oxford. He is a leading expert in private equity and financial markets, frequently consulted by governmental bodies such as the UK House of Lords’ Financial Regulation Select Committee. His research focuses on private credit, financial leverage, and investor protection. University: University of Oxford School: Saïd Business School Department: Financial Economics His research explores the systemic risks of private debt markets, performance measurement in private equity, and the impact of financial leverage on corporate stability. He critiques traditional metrics like IRR and emphasizes transparency in fund management. Recent publications analyze trends in private equity, venture capital, and debt markets, highlighting concerns about valuation methods, regulatory gaps, and the growing influence of non-traditional lenders like pension funds. His work underscores the need for international cooperation in financial regulation.
Sidharth Jaggi is a Professor at the School of Mathematics, University of Bristol, with over 19 years of experience in Information and Data Sciences through the lens of Information Theory. His work emphasizes fundamental performance limits and algorithm design for systems under adversarial threats. Education: B.Tech, M.Phil, PhD Research interests focus on adversarial communication, information-theoretic security, coding theory, and sparse data estimation. He leads the CAN-DO-IT team (Codes, Algorithms, Networks – Design and Optimization for Information Theory), integrating theoretical tools into practical applications like secure distributed computing and robust data storage. Recent publications highlight advancements in adversarial channels , group testing , and privacy-preserving coding . Trends include covert communication under spectral constraints, causal feedback benefits, and efficient algorithms for high-dimensional problems. Current projects include "Information Theory for Interactive Distributed AI" (2024–2029), exploring interactive systems under adversarial constraints.
Dr. Silvia Bonomi serves as an Associate Professor in the Department of Computer, Control and Management Engineering at Sapienza University of Rome, where she has held academic positions since 2006. Her career progression includes Research Fellow (2010-2011), Tenure Track Assistant Professor (2016-2019), and current Associate Professor appointment since 2019. She maintains her office in Room B114 and is actively engaged in research and teaching within the university's engineering faculty. Her educational background includes: PhD in Computer Engineering, Sapienza University of Rome and Institut de Formation Supérieure en Informatique et Communication (IFSIC/IRISA), Rennes, France (completed under advisors Prof. Roberto Baldoni and Prof. Michel Raynal) Dr. Bonomi's research critically examines dynamic distributed systems where entities autonomously join and leave networks, with applications spanning VANETs, airborne networks, social networks, and distributed cloud services. She pioneers work in Byzantine fault tolerance for mobile environments, blockchain security with emphasis on smart contract vulnerability analysis, and resilient cybersecurity frameworks integrating human factors. Her investigations into publish-subscribe systems focus on quality-of-service enhancements, while her peer-to-peer systems research addresses fundamental connectivity challenges in large-scale decentralized environments. This interdisciplinary approach bridges theoretical distributed computing with practical cybersecurity applications. Analysis of her 15 most recent publications (2021-2024) reveals dominant trends in blockchain security (particularly smart contract vulnerability taxonomies and analysis tool efficacy) and fault-tolerant distributed systems (reliable communication under Byzantine faults in dynamic networks). Her work increasingly integrates human factors into cybersecurity models and develops visual analytics for business-centric risk assessment. Publications span top venues including IEEE CSR, OPODIS, SAFECOMP, and journals like Computers & Security, demonstrating consistent contributions to both theoretical foundations and practical cybersecurity implementations.
Ahmed Saeed is an Assistant Professor in the School of Computer Science at Georgia Institute of Technology, specializing in scalable computer networks and systems. His research spans congestion control, operating systems, LEO satellite networks, and formal methods, with a strong record of publications and active mentorship. Education: PhD in Computer Science, Georgia Institute of Technology (2019) Bachelor's in Computer and Systems Engineering, Alexandria University (2010) Postdoctoral Associate, MIT (with Prof. Mohammad Alizadeh) Research Interests: Ahmed's work focuses on the theory, design, and implementation of scalable networked systems. Key themes include: Congestion control algorithms for datacenter and WAN traffic Overload control mechanisms for microsecond-scale RPCs Performance debugging tools for datacenter applications LEO satellite network modeling and policy analysis Formal verification of network protocols and resource schedulers Recent Publications Trend: His 2024-2025 papers emphasize LEO satellite resilience and datacenter performance , with contributions to emergency failover modeling, latency debugging tools, and congestion control protocols. These works combine empirical measurement, formal modeling, and policy recommendations. Awards & Funding: NSF CAREER Award (2024) – LEO satellite variability ($600k) NSF CNS Core Awards (2022) – Edge server stacks & formal verification (total $2.38M) Google Research Award (2022) – Scalable edge systems ($80k) DARPA Risers Top 5 Poster (2022) Spec Tech Award (2023) – Nanomodular electronics routing ($40k) Teaching & Service: He regularly teaches Computer Networking I (CS 3251) and Datacenter Networks & Systems (CS 8803) . Service includes PC roles for SIGCOMM, NSDI, CoNEXT, and Networking area co-chair for JSys. Lab & Students: Ahmed leads an active research group with PhD students Peidi Song, Bhaskar Pardeshi, Sherif Abdelrazek; MS students Dhyey Thummar, Pratyush Sahu, Sammy Kapoor; and undergraduate Demi Lei. Alumni have joined industry leaders like Juniper, Microsoft, and Snowflake.
R. Jayakrishnan , a Professor in the Department of Civil and Environmental Engineering at the Samueli School of Engineering , University of California, Irvine, is a leading researcher in transportation systems engineering. Ph.D., University of Texas, Austin, Civil Engineering, 1992 M.S., University of Texas, Austin, Civil Engineering, 1987 B.S., Indian Institute of Technology, Madras, India, 1985 His research focuses on dynamic traffic assignment , urban traffic simulation , and real-time information systems to improve congested traffic corridors. He is developing advanced dynamic simulation-assignment models for urban traffic networks. Recent publications highlight his contributions to: Crowdsourced delivery optimization using decomposition heuristics Eco-driving algorithms with V2I communication Multi-furniture placement applications via augmented reality Subscription mobility services cost-benefit analysis Agent-based lane-changing coordination systems These works demonstrate his interdisciplinary approach combining transportation engineering, optimization algorithms, and emerging technologies like AR and connected vehicles.
Valerie Good serves as an Assistant Professor in the Department of Marketing and Transportation at the Walton College of Business, University of Arkansas, where she contributes to academic research and teaching in marketing disciplines. Her research spans critical domains including: Sales Management : Investigating salesperson well-being, motivation, and digital transformation impacts Retail Marketing : Analyzing online retail formats and product sales dynamics B2B Marketing : Exploring brand leverage and end-user engagement strategies Corporate Social Responsibility : Examining CSR's role during economic recessions Analysis of her 15 recent publications (2021-2025) reveals three dominant trajectories: (1) Human elements in sales processes, including resilience, loneliness, and purpose-driven motivation; (2) Digital transformation effects on retail formats, lead quality, and sales arrangements; (3) Strategic applications of corporate social responsibility during economic volatility. Her work consistently bridges theoretical rigor with practical sales and marketing applications, demonstrating increasing focus on psychological factors within commercial contexts.
David Kurz is a Visiting Assistant Professor in Environmental Studies at Boston College. He holds a PhD in Environmental Science, Policy, and Management from UC Berkeley, an MPhil in Zoology from the University of Cambridge, and an AB in Ecology & Evolutionary Biology from Princeton University. His interdisciplinary research focuses on the human dimensions of wildlife conservation, climate policy, and socio-ecological systems. Dr. Kurz explores how climate change, urbanization, and land-use shifts impact ecosystems and human communities. Key research projects include studying bearded pig distributions in Borneo, cultural implications of lobster die-offs in the Long Island Sound, and equity in urban green space access. His work bridges natural and social sciences to address challenges in biodiversity conservation and climate resilience. Recent publications highlight topics like wildfire biodiversity overlaps in California, socio-ecological dynamics in Malaysian Borneo, and the impacts of the COVID-19 pandemic on wildlife. He emphasizes mentorship, guiding students toward real-world problem-solving and engaged scholarship. Dr. Kurz’s teaching and research align with Boston College’s commitment to environmental justice and interdisciplinary collaboration.
