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Luca VaraniView profile

Professor

• Structural Biology
• Antibody Engineering
• Viral Pathogenesis
• +4 more

Luca Varani is a Professor and Group Leader of the Structural Biology group at the Institute for Research in Biomedicine (IRB), affiliated with the Università della Svizzera italiana in Bellinzona, Switzerland. His research focuses on understanding the molecular mechanisms of antibody-pathogen interactions and engineering novel therapeutic antibodies. Education: Chemistry degree from University of Milan, PhD from MRC-Laboratory of Molecular Biology (University of Cambridge) Former postdoc at Stanford with EMBO fellowship Founder of CLBiotech (2022), a nanobody discovery and engineering startup Varani's research spans structural biology, immunology, and biophysics with emphasis on viral pathogenesis and antibody engineering. His work combines experimental and computational approaches to study antibody-antigen interactions, particularly against emerging pathogens like SARS-CoV-2, Zika, and Dengue viruses. His group has pioneered structure-guided antibody engineering techniques that have led to multiple high-impact publications in journals like Nature, Cell, and Science. Analysis of Varani's recent publications reveals a strong focus on SARS-CoV-2 antibody responses, with significant contributions to understanding neutralizing mechanisms, viral escape, and therapeutic antibody development. His work also extends to prion diseases, cancer immunology, and flaviviruses, demonstrating a multidisciplinary approach that bridges structural biology with translational medicine. As a reviewer for high-impact journals and international granting agencies, Varani contributes significantly to the scientific community. He also serves as an evaluator for European startup accelerator programs and consults for antibody biotechnology companies, translating academic research into practical applications. Varani leads a highly multidisciplinary research team that employs techniques ranging from NMR spectroscopy and X-ray crystallography to cellular assays and computational modeling. His laboratory has been instrumental in developing bispecific antibodies against SARS-CoV-2 and other pathogens, with several candidates advancing toward clinical trials.

• Network Tomography
• Software-Defined Networking
• Cyber-physical Systems
• +6 more

Ting He is a Professor in the Department of Computer Science and Engineering, specializing in interdisciplinary research at the intersection of network sciences, energy systems, and cybersecurity. Their work addresses critical challenges in network tomography, software-defined networking, and cyber-physical systems, with a strong emphasis on advancing edge computing and decentralized learning paradigms. NSF-funded research on Distributed Edge Intelligence (2024–2025) Collaborative projects on Overlay Networks and Adversarial Reconnaissance in SDN Recent publications analyze network topology inference, energy-efficient decentralized learning, and secure cloud file systems. Their research aligns with UN SDGs through contributions to sustainable energy systems and secure IT infrastructure. Key collaborations with Silvestri, La Porta, and Chaudhuri Active in Smart Grid resilience and cascading failure mitigation

Jacob GardnerView profile

Assistant Professor

• Machine Learning
• Bayesian Optimization
• Computational Biology
• +3 more

Jacob Gardner is an Assistant Professor in the Department of Computer & Information Science at the School of Engineering and Applied Science, University of Pennsylvania. His research bridges machine learning and scientific discovery with emphasis on computational biology and molecular design. His primary research interests include: Machine Learning Bayesian Optimization Computational Biology Molecular Design Artificial Intelligence Gaussian Processes Analysis of his 2024-2025 publications reveals a dominant focus on Bayesian optimization techniques integrated with large language models for biological applications. Key trends include therapeutic design using knowledge distillation from scientific literature, RNA splicing prediction, antibiotic development, and scalable Gaussian process methods. His work consistently addresses dimensionality challenges in molecular modeling while improving computational efficiency for high-dimensional biological data. No scientific awards were mentioned in the provided text. No information regarding student advising or research grants was provided in the source material. His research appears supported by institutional initiatives including Penn AI, Innovation in Data Engineering and Science (IDEAS), and the Data Driven Discovery Initiative (DDDI).

Chinasa T. OkoloView profile

Research Fellow

• Artificial Intelligence
• AI Governance
• Data Governance
• +12 more

Chinasa T. Okolo is a Research Fellow in the Governance Studies program and Center for Technology Innovation (CTI) at the Brookings Institution. A recent computer science PhD graduate from Cornell University, she focuses on AI governance, data policy, and equity issues in artificial intelligence, particularly as they relate to the Global Majority and Africa. B.A. in Computer Science from Pomona College M.S. in Computer Science from Cornell University Ph.D. in Computer Science from Cornell University Dr. Okolo's research critically examines global equity in AI, with a focus on how African governments can develop robust AI and data governance frameworks. She investigates the geopolitical impacts of AI in the Majority World and analyzes datafication and algorithmic marginalization in Africa. Her work incorporates ethnographic methods to understand how frontline health care workers in rural settings perceive and value AI, with particular emphasis on explainability in AI-enabled technologies deployed throughout the Majority World. She has conducted significant research on the effective adoption of AI in Africa, COVID-19 misinformation spread on social networks within African communities, and the impact of generative AI within Africa. Her recent publications explore cultural encoding of gender bias in language models for African languages, AI safety governance approaches in Southeast Asia, and the impacts of generative AI within Africa. Her work spans the intersection of artificial intelligence, international development, and social justice, with publications at top-tier venues including ACM's CHI, CSCW, COMPASS, EAAMO, and FAccT conferences. Scientific Awards Named one of TIME's top 100 most influential people in AI of 2024 Honored in the inaugural Forbes '30 Under 30' AI list Recognized as one of 100 Brilliant Women in AI Ethics™ Dr. Okolo has received research funding from the Social Science Research Council, MacArthur Foundation, McGovern Foundation, Kapor Center, National GEM Consortium, Oracle Corporation, North American Network Operators' Group (NANOG), National Science Foundation (NSF), and Google. She serves as editor-in-chief of ACM SIGCAS Computers and Society, is a Scientific Advisory Committee member of the Global Index on Responsible AI, and an inaugural member of the Partnership on AI's SAIGE Council. She has contributed to global AI governance efforts including serving as a consulting expert on the African Union AU-AI Continental Strategy, an expert contributing writer to the International AI Safety Report, and a drafting member of the Nigerian Federal Government's National AI Strategy. She also participates in the IEEE Standards Association working group on algorithmic bias and is a member of the ACM US Technology Policy Committee. As founder of Technēculturǎ, Dr. Okolo leads initiatives focused on critically examining global equity in AI. She recently launched the 'AI Safety and the Global Majority' series at Brookings, convening experts from Africa, the Caribbean, Latin America, Oceania, and Southeast Asia to counter Western-centric assumptions in AI safety. She is actively engaged in current policy discussions, with her most recent work including 'AI Safety Governance, The Southeast Asian Way' report and upcoming participation in the AI Safety Asia launch event on August 28, 2025.

Vincent LepetitView profile

Research Professor

• Computer Vision
• 3D Computer Vision
• Machine Learning
• +3 more

Vincent Lepetit currently serves as a Director of Research at École des Ponts ParisTech since 2019. His prior academic appointments include: Full Professor at the Institute for Computer Graphics and Vision, Graz University of Technology, Austria Senior Researcher at the Computer Vision Laboratory (CVLab) of École Polytechnique Fédérale de Lausanne (EPFL), Switzerland His research resides at the critical intersection of Machine Learning and 3D Computer Vision, with concentrated efforts on advancing 3D scene understanding from images. This work integrates deep learning methodologies with geometric computer vision to solve complex perception challenges, driving innovations in computational intelligence and visual recognition systems. His expertise spans both theoretical foundations and practical implementations across computer vision subdomains. Prof. Lepetit maintains significant leadership roles within the computer vision community, consistently serving as area chair for premier conferences including CVPR, ICCV, and ECCV. He further contributes through editorial positions as associate editor for top-tier journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), International Journal of Computer Vision (IJCV), and Computer Vision and Image Understanding (CVIU), shaping research standards across the field. No scientific awards or honors were explicitly documented in the provided source material. While the text confirms his past affiliation with EPFL's Computer Vision Laboratory (CVLab), current laboratory or team leadership details remain unspecified. Information regarding doctoral advisees, research grants, or funding mechanisms was not included in the available documentation, though his editorial and conference leadership roles indicate substantial research influence.

Andreas BaurView profile

Research Fellow

• IT Infrastructures
• Politics of Technology
• Power Dynamics
• +6 more

Dr. Andreas Baur is a research associate at the Institute of Ethics and Technology (IZEW) , University of Tübingen, and a PhD candidate at the Amsterdam Institute for Social Science Research (AISSR) , University of Amsterdam. He serves as fellow at the Critical Infrastructure Lab Amsterdam and contributes to the DoingIPS communication team. Education: M.A. in Peace Research and International Politics, University of Tübingen B.A. in Political Science and Economics, University of Tübingen/Universidad de Guadalajara Research Focus: Interdisciplinary analysis of IT infrastructures' political implications, particularly cloud computing's role in power dynamics, digital sovereignty (including EU's Gaia-X initiative), technology ethics, and governance of socio-technical systems. His work bridges International Relations , Science and Technology Studies , and ICT Policy . Recent Research Trends: Examines cloud infrastructure politics through lenses of sovereignty claims, hybrid cloud architectures, and material manifestations of power in digital ecosystems. Publications explore European digital governance attempts, cloud imaginaries, and multi-cloud regulatory challenges. Academic Contributions: Co-editor of Feminist Data Protection special issue ( Internet Policy Review , 2021) Participant in EU Horizon 2020 HEIMDALL project Contributor to EU FP7 SECTOR initiative Member of BMBF-funded Privacy-Arena and digilog@bw projects Teaching & Outreach: Conducts seminars on security in modern information technologies and participates in public workshops regarding AI ethics, digital sovereignty, and cyber security challenges. Regularly contributes to public debates through media appearances and policy discussions.

Alex Q. HuangView profile

Professor

• Power Semiconductor Devices
• Advanced Power Electronics
• Renewable Energy Integration and Smart Grid
• +1 more

Alex Q. Huang holds the Dula D. Cockrell Centennial Chair in Engineering and serves as Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin. Recognized globally for expertise in power semiconductor devices and power electronics, he has authored over 400 scholarly publications throughout his career. His pioneering research spans critical energy technology domains: Power Semiconductor Devices Advanced Power Electronics Renewable Energy Integration and Smart Grid Power Management Integrated Circuits Dr. Huang originated the Energy Internet concept and developed Solid State Transformer-based Energy Router technology. Having mentored more than 70 PhD and master's students, he actively seeks new research collaborators among prospective graduate students and postdoctoral researchers.

Maria FällmanView profile

Professor

• Molecular microbiology
• Bacterial pathogenesis
• Infection biology
• +7 more

Maria Fällman is a Professor at the Department of Molecular Biology at Umeå University, where she also serves as Deputy Head of Department. She is affiliated with Molecular Infection Medicine Sweden (MIMS), a leading research center for molecular infection medicine in Sweden. Dr. Fällman's research focuses on understanding the molecular mechanisms behind bacterial adaptation to different environments, with particular emphasis on Yersinia pseudotuberculosis and Salmonella enterica Typhimurium. Her group investigates gene regulation critical for establishing and maintaining infections, bacterial stress responses, and the molecular mechanisms of the Type Three Secretion System (T3SS). The lab has developed advanced methods for RNA extraction from complex tissue samples and performs in vivo gene expression analyses. Her publication record shows consistent contributions to understanding bacterial pathogenesis, with recent articles in high-impact journals including Nature Communications, Science, and PLOS Pathogens. Her work spans from fundamental molecular mechanisms of bacterial virulence to computational approaches for analyzing pathogen stress responses. A significant contribution is the PATHOgenex database (http://www.pathogenex.org), containing gene expression data of over 30 human pathogens exposed to different stress conditions. Dr. Fällman leads the Maria Fällman Lab, which has made important discoveries including the finding that sub-lethal doses of Yersinia result in persistent infection in mice with reprogramming of bacterial gene expression. Current projects focus on stress response modeling and deciphering heterogeneous populations of infecting bacteria using single-cell RNA-seq.

Oliver NachtweyView profile

Professor

• Social Modernization
• Individualization
• Digital Transformation
• +5 more

Prof. Dr. Oliver Nachtwey is a Professor at the Department of Social Sciences , University of Basel, specializing in processes of social modernization, individualization, and the transformation of digital capitalism. His research spans political sociology, social conflict, authoritarianism, and the societal impacts of digitalization. University: University of Basel Department: Department of Social Sciences Academic Rank: Professor Nachtwey’s work focuses on the social effects of digitalization , including labor alienation, platform economies, and the political sociology of Corona protests . He explores how libertarian authoritarianism and regressive modernity shape contemporary social crises. His recent publications analyze digital labor alienation , gift exchange on platforms , and the spirit of digital capitalism . Articles emphasize keywords like algorithmic labor, surveillance capitalism, and techno-religion. Scientific Awards: Shortlisted for Leipzig Book Fair Prize (non-fiction) for Gekränkte Freiheit Recipient of multiple academic awards for Die Abstiegsgesellschaft Oliver Nachtwey’s research has been featured in The New York Times , The Guardian , and El Pais , with collaborations at institutions like the Hamburg Institute for Social Research and Institute for Social Research Frankfurt.

Ibrahim KhalilView profile

Professor

• Security
• Privacy
• Federated Learning
• +4 more

Professor Ibrahim Khalil is a faculty member in the School of Computing Technologies at RMIT University, Melbourne, Australia. He holds a PhD in Computer Science from the University of Bern (2003) and has extensive industry experience in Silicon Valley focusing on secure network protocols. His research spans Security, Privacy, Federated Learning, Blockchain, Quantum Computing, and Distributed Systems. He leads high-impact projects funded by ARC grants (DP250100582, DP220100215, etc.) and international initiatives like the EU’s SELFY project. His work addresses challenges in secure AI data analytics, privacy-preserving systems, and critical infrastructure protection. Khalil supervises PhD/Masters students on topics ranging from federated learning security to quantum-enhanced machine learning. Education: PhD in Computer Science (University of Bern, 2003); prior roles at EPFL, Osaka University, and industry tech hubs. Research Interests: Privacy-Preserving Technologies Blockchain Applications in Healthcare and Supply Chains Quantum Computing for Machine Learning Secure Edge Computing and Federated Learning IoT Security and Critical Infrastructure Protection Grants & Collaborations: Over 10 major grants since 2017, including ARC Discovery/Linkage Projects and international partnerships (QNRF, EU). Notable projects include Privacy-Aware Digital Twins for Critical Infrastructure and Federated Learning frameworks for GenAI models. Advising & Labs: Active supervisor of 25+ research projects since 2013, focusing on anomaly detection, secure data analytics, and blockchain-based systems. Collaborates with industry partners on defense and healthcare tech.

Victor R. LeeView profile

Associate Professor

• Data Science Education
• STEM Education
• K-12 Education
• +4 more

Victor R. Lee serves as an Associate Professor at Stanford University's Graduate School of Education, with his office located at CERAS Building (520 Galvez Mall, Suite 531) in Stanford, California. He is actively affiliated with the Center for Studies in Education and Technology (CSET), where he conducts interdisciplinary research at the intersection of technology and learning. Dr. Lee holds a Ph.D. in Learning Sciences from Northwestern University and earned dual Bachelor's degrees in Cognitive Science and Mathematics from the University of California, San Diego. His academic trajectory bridges technical disciplines with educational research, establishing a foundation for his work in data-intensive learning environments. His research program centers on two interconnected domains: data literacy development in K-12 contexts and STEM education innovation across diverse learning spaces. He investigates how individuals make meaning from data during inquiry-based learning, with particular emphasis on self-collected student data and the epistemological challenges of data sense-making. Concurrently, his STEM education work spans traditional classrooms, makerspaces, computer labs, and school libraries, examining engaged learning practices and conceptual change in mathematics and science. Current projects focus on identifying the specialized knowledge teachers require to effectively scaffold student interactions with complex real-world datasets. Recent publications (2023-2024) reveal a strategic pivot toward artificial intelligence education, examining both teacher preparation and student understanding of AI systems. His work demonstrates consistent methodological rigor through design-based research, classroom implementations, and analysis of student reasoning patterns, particularly regarding how learners conceptualize algorithmic processes in platforms like YouTube. As a core faculty member within CSET, Dr. Lee collaborates with multidisciplinary teams to develop and evaluate educational interventions that bridge theoretical learning sciences with practical classroom applications, with recent emphasis on AI literacy tools and data-enabled pedagogical approaches.

Mohamed HassanView profile

Assistant Professor

• Computer Architecture
• Embedded Systems
• Real-Time Systems
• +12 more

Dr. Mohamed Hassan is an Assistant Professor in the Department of Electrical & Computer Engineering at McMaster University. His research focuses on Cyber-Physical Systems-on-Chip (iCPSoCs) , emphasizing design, analysis, and deployment for critical domains like Unmanned Aerial Vehicles (UAVs), Autonomous Cars, and healthcare systems. Key research areas include hardware/software codesign, real-time systems, embedded systems, and security. He teaches courses such as COMPENG 4DM4 (Computer Architecture) and COMPENG 4DS4 (Embedded Systems) . His work bridges foundational theories (e.g., scheduling, AI) with infrastructure-level innovations (e.g., compilers, memory systems). The Fanos Research Lab he leads explores interdisciplinary solutions for efficient CPS-on-Chip, addressing challenges in multicore predictability, memory latency, and edge computing. Recent contributions include frameworks for explainable memory-centric workloads and techniques to accelerate TinyML inference. Dr. Hassan serves on Technical Program Committees for conferences like RTAS and OSPERT, highlighting his role in advancing real-time embedded systems research.

Eli BlevisView profile

Professor

• Sustainable Interaction Design
• Human-Computer Interaction (HCI)
• Visual Thinking in HCI
• +3 more

Eli Blevis is a Professor of Informatics at Indiana University's Luddy School of Informatics, Computing, and Engineering, with a joint appointment as Visiting Professor at Hong Kong Polytechnic University's School of Design. His research focuses on Sustainable Interaction Design, Visual Thinking, and Transdisciplinary Design Theory. He is renowned for integrating sustainability principles into HCI practices and exploring the role of visual media in design and education. Affiliations: Luddy School of Informatics, Computing, and Engineering, Indiana University Visiting Professor, School of Design, The Hong Kong Polytechnic University Research Interests: Sustainable Interaction Design (SID) Visual Thinking in HCI (e.g., photographic ethnography) Design Pedagogy (e.g., Design Challenge-Based Learning) Sustainability in Digital Infrastructure Cross-Cultural Design Practices His work spans over 50 publications, with awards including the CHI Best Paper and Computing Reviews Notable Paper. He advises students on projects like visible mending, nonlinear design thinking, and sustainable food systems. Blevis also curates the Visual Thinking Gallery and contributes to international conferences like NordiCHI and DIS. His lab explores tangible interfaces (e.g., MemoryReel) and eco-conscious design strategies. Awards: CHI Best Paper Award CCC Sustainability Award ACM Computing Reviews Notable Paper DIS Best Paper Award Grants and Funding: Research supported by NSF and industry partnerships.

• Internet of Things (IoT)
• Edge Computing
• Cloud-Edge-IO Continuum
• +4 more

Carlos Enrique Palau is a prominent researcher in the field of Internet of Things (IoT), edge computing, and cyber-physical systems. His work focuses on interoperability, security, and scalability in distributed systems, particularly in industrial and smart city applications. He has contributed to frameworks for cloud-edge continuum integration, blockchain-based IoT solutions, and federated computing architectures. Key areas of research include: IoT interoperability and semantic frameworks Edge computing and distributed workload management Cybersecurity for IoT and critical infrastructure Smart port logistics and real-time data analytics Cognitive services in legacy port management systems His recent work explores: Data-as-a-Product frameworks for Industry 4.0/5.0 Autonomous workload scheduling in energy-efficient edge-cloud systems Deception mechanisms for IoT security Self-* capabilities in cloud-edge nodes Palau has collaborated extensively with institutions like Universitat Politècnica de València and international partners in projects funded by EU initiatives. His research addresses practical challenges in industrial IoT deployments, smart city infrastructure, and emergency management systems.

• Creative Technology
• Internet of Things
• Open Hardware
• +2 more

Jon Rogers is Professor of Creative Technology at Northumbria University with a PhD in neural networks from Imperial College London. His research examines human relationships with emerging technologies through hands-on making and critical design practices. Rogers' work explores alternative narratives for digital futures through internet-connected objects and open hardware systems. He develops tangible interfaces that challenge conventional technology design paradigms and enable public participation in technological discourse. Recent research includes experimental prototyping platforms for open hardware development and methodological frameworks for reflecting on connected devices. His publications document innovative approaches to tangible computing and participatory design methodologies. Rogers founded the OpenDoTT doctoral training program exploring trust in IoT systems. He regularly organizes workshops at major technology conferences and maintains collaborations with international makerspaces and research institutions.