Yu Xiao is an Associate Professor at the Department of Information and Communications Engineering, Aalto University, specializing in edge computing, extended reality (XR), wearable computing, and crowdsensing. Their research contributes to the UN Sustainable Development Goals, particularly in education and technology innovation. Active in mobile cloud computing and decentralized systems Principal Investigator in EU-funded projects (EMIL, TUTL) Expert in 5G networks, autonomous systems, and human activity recognition Yu Xiao's work spans interdisciplinary domains, including healthcare (cardiovascular resuscitation devices) and urban mobility (autonomous vehicle interactions). They have received multiple awards, including Best Paper Awards and Nokia Foundation Scholarships. Focus on low-latency communication and multiagent reinforcement learning Developed frameworks like FediLive for decentralized social networks Contributed to 128+ publications and software tools Recent collaborations include institutions like Pontificia Universidad Católica de Chile and participation in IEEE committees. Their research integrates blockchain for secure IoT communication and advanced AR applications.
Professor David Thomas holds the position of Professor in Computer Engineering at the University of Southampton's Electronics and Computer Science Department. His research focuses on the intersection of software and hardware, particularly leveraging FPGAs for novel digital architectures and event-driven computing. He has a notable academic trajectory, having previously served as a Lecturer and Senior Lecturer at Imperial College London before joining Southampton in 2021. Dr. Thomas is actively involved in supervising PhD students and contributes to interdisciplinary research projects funded by the EPSRC, such as the SONNETS initiative exploring scalable event-triggered systems. Education: BSc in Computer Science (Imperial College London), PhD in Digital Architectures (Imperial College London). Postdoctoral roles included Research Associate and Research Fellow at Imperial's Department of Computing. Research Interests: Event-driven computing, FPGA-based systems, high-level synthesis, and high-performance computing. His work emphasizes practical implementations of theoretical models, such as custom processors and application-specific accelerators. Current projects include optimizing random number generation for FPGAs and exploring meta-programming techniques for hardware design. Advising and Grants: Supervises multiple PhD students in areas like neuromorphic computing and algorithm optimization. Active in securing funding for distributed system architectures and FPGA-based solutions. Labs/Teams: Member of the Cyber Physical Systems research group. Collaborates with interdisciplinary teams on projects like POETS (Partially Ordered Event-Triggered Systems) for large-scale parallel computing.
Assoc Prof Wu Hongjun is an Associate Professor at the Division of Mathematical Sciences, School of Physical & Mathematical Sciences, Nanyang Technological University (NTU). His research focuses on cryptography and information security, with notable contributions to lightweight authenticated encryption algorithms like TinyJAMBU and ACORN, as well as cryptanalysis of stream ciphers (e.g., ZUC, HC-128) and hash functions (e.g., JH, SHA-3 candidates). His academic career includes over 15 years of contributions to cryptographic standards, IoT security frameworks, and secure cloud data management. Key areas of expertise encompass symmetric-key cryptography, algorithm design for resource-constrained devices, and vulnerability analysis of cryptographic primitives. Prof Wu has authored influential papers on authenticated encryption modes (AEGIS, MORUS), lightweight cipher optimizations (ACORN), and cryptanalysis techniques applied to Feistel networks and stream ciphers. His work bridges theoretical cryptography with practical implementations across telecommunications, IoT, and cloud computing domains.
Guy Hoffman is Associate Professor and Associate Director of Undergraduate Affairs at Cornell University's Sibley School of Mechanical and Aerospace Engineering. He holds faculty appointments in Aerospace Engineering, Computer Science, Information Science, and Mechanical Engineering. Hoffman earned his Ph.D. in Human-Robot Interaction from MIT and M.Sc. in Computer Science from Tel Aviv University. His research explores computational, design, and social aspects of Human-Robot Interaction (HRI), with focus areas including: Embodied cognition for social robots Anticipation and timing in HRI Nonverbal behavior in human-robot collaboration Robotics for performing arts Non-anthropomorphic robot design Publications demonstrate interdisciplinary work spanning social robotics, adaptive interfaces, inclusive design, and AI education. Recent articles explore shadow-based interaction privacy, emotional conveyance through shape-changing interfaces, and cultural aspects of robot morphology. Major recognitions include: Andrew P. Sage Best Transactions Paper Award (IEEE, 2020) Dennis G. Shepherd Teaching Award (Cornell, 2019) Best Paper Award, IEEE/ACM HRI Conference (2015) His research group develops robotic platforms like Blossom and investigates human-robot collaboration in workspaces, inclusive play for children with mixed abilities, and open-source educational tools for AI literacy.
Dr. Amy Damashek serves as Professor in the Department of Psychology at Western Michigan University, teaching undergraduate and graduate courses while mentoring Clinical Psychology doctoral students. She chairs the department's Diversity, Equity, and Inclusion Committee and maintains an active research program focused on vulnerable populations. Education: Ph.D. in Psychology, University of Missouri-Columbia (2007) Postdoctoral Fellowship, University of Oklahoma Health Sciences Center (2009) Research Focus: Her work centers on preventing child maltreatment and unintentional injuries among at-risk youth, with specialized expertise in infant sleep-related deaths and health disparities . She develops culturally responsive parenting interventions for low-income and Spanish-speaking families, emphasizing community-based solutions through home visiting programs. Publication Trends: Recent work (2020-2023) demonstrates consistent focus on pandemic adaptation of family services, safe sleep practices in marginalized communities, and digital intervention strategies. Her mixed-methods approach bridges clinical psychology with public health, prioritizing implementation in real-world settings. Scientific Recognition: Fellow of the American Psychological Association Former President of APA Division 37 (Society for Child and Family Policy and Practice) Grants & Mentoring: Secured federal funding for child injury prevention in underserved communities. Mentors Clinical Psychology doctoral students with emphasis on culturally competent practice, accepting new graduate students for Fall 2025. Her federally funded work directly informs evidence-based home visiting protocols. Research Ecosystem: Collaborates extensively with community health workers, home visiting agencies, and pediatric care providers to implement and evaluate interventions addressing structural barriers in family support systems.
Raquel Moreno Sánchez is a Professor in the Department of Health at UCJC since 2011, specializing in emergency nursing and disaster response. She holds a Bachelor's in Nursing (1997), a PhD from the University of Alcalá de Henares, and advanced degrees including a Master's in Child Psychology and a Master's in Emergencies, Disasters, and International Cooperation (UCJC, 2013). Previously, she served as an Honorary Professor at the Autonomous University of Madrid (UAM) from 1998–2011. Her research focuses on emergency care protocols, pharmacology of antipsychotic drugs, and disaster management strategies. Notable contributions include bibliometric analyses of global antipsychotic drug studies and co-authorship of clinical guidelines for the SUMMA-112 emergency service. She coordinates training programs for healthcare professionals in out-of-hospital emergencies and advanced life support. Her work spans helicopter medical transport, palliative care, and interdisciplinary crisis management. Teaching roles include leading courses in emergency nursing, pediatric psychology, and mountain emergencies at UCJC. Professional experience includes 27 years in emergency and outpatient nursing, with prior roles in hospital critical care units and primary care. She is an Advanced Life Support instructor certified by SEMICYUC and actively participates in academic committees for healthcare education and policy.
Maria Lindholm is a Postdoctoral Research Fellow at the Department of Industrial Engineering and Management, Faculty of Management and Business, Tampere University. Her research focuses on occupational health and safety (OSH), particularly in healthcare and manufacturing sectors, emphasizing risk assessment frameworks, ergonomic standards, and emerging challenges like climate change impacts. She has published extensively on home care worker safety, safety culture development, and future-proofing occupational safety practices. Key research themes include: OSH risks in non-traditional work environments (e.g., clients’ homes) Risk assessment tools and self-evaluation methodologies Human factors and ergonomics in business education Cross-sectoral safety challenges (healthcare, rail transport, manufacturing) Her work often integrates qualitative reviews, case studies, and systematic analyses to address practical industry needs. Notable contributions include developing safety frameworks for home care personnel and evaluating occupational hazards in SMEs.
Dr. Yuemei Lin is an Associate Professor in the Department of Biotechnology at the Faculty of Applied Sciences, Delft University of Technology (TU Delft). Her work is centered within the Environmental Biotechnology research section, where she leads the Yuemei Lin Group. She is actively involved in research and teaching related to sustainable resource recovery and biobased materials. Her research focuses on the extraction and characterization of extracellular polymeric substances (EPS) from microbial aggregates such as flocculent sludge, granular sludge, and biofilms. She investigates the role of EPS in aggregate formation and reactor performance, and explores the recovery of EPS from waste sludge for conversion into valuable biobased materials. This work aligns with the transition toward a circular economy. Dr. Lin teaches the course Biobased Materials in a Circular Economy and contributes to the Minor Sustainable Chemistry and Biotechnology in collaboration with Leiden University. Her recent publications (2024–2025) reflect a strong focus on EPS composition, extraction methods, thermal stability, hydrogel properties, and industrial applications, particularly in wastewater treatment contexts. Research Themes: EPS, biopolymers, wastewater valorization, circular economy, microbial aggregates. Applications: Kaumera development, sustainable materials, resource recovery. Scientific Awards: Zilveren Zandloper Innovation Award (2019) Aquatech Innovation Award for Kaumera (2019) Water Innovation Award 2013 (TU Delft and partners) Dr. Lin has secured funding through programs such as NWO’s Open Technology Program and Take-off, demonstrating strong grant acquisition. She collaborates extensively with leading researchers including Prof. Mark C.M. van Loosdrecht. While no formal advisees are listed, her role in teaching and group leadership indicates active student supervision. Her work is closely tied to applied research initiatives and industrial implementation, particularly through the development of the Kaumera biopolymer from wastewater sludge.
Sebastian Pokutta is a Professor at Technische Universität Berlin, Vice President at the Zuse Institute Berlin (ZIB), and Chair of the Cluster of Excellence MATH+ and MODAL. His research lies at the intersection of Artificial Intelligence, Optimization, and Machine Learning, with applications in sustainability, quantum computing, and mathematical discovery. Research Interests: Development of novel optimization algorithms, particularly Frank-Wolfe and Conditional Gradient methods. Integration of machine learning with decision-making and combinatorial optimization. AI for Science (AI4Science), including applications in quantum mechanics and ecology. AI and creativity, human-AI co-creativity, and social science modeling using multi-agent LLMs. His recent publications (2025) demonstrate a strong focus on scalable optimization, interpretability, and algorithmic foundations. The work spans theoretical advances in convergence analysis, practical implementations in Julia (FrankWolfe.jl), and real-world deployments in biomass estimation and quantum certification. Scientific Awards: Gödel Prize (2023) STOC Test of Time Award (2022) Science Prize of the Association for Pediatric Orthopedics (2025) Google Research Awards (2021, 2020) NSF CAREER Award (2015) He advises a vibrant research group, with former students and postdocs securing faculty positions at institutions like Inria, Carlos III University, and James Madison University. His group has received funding from Google, DFG, and Math+, and he leads major collaborative efforts such as the Thematic Einstein Semester on Mathematical Optimization for Machine Learning. Labs and Teams: Interactive Optimization and Learning Lab at TU Berlin and ZIB. Leadership in MODAL and MATH+ research clusters, fostering interdisciplinary collaboration in mathematical optimization and AI.
Dr. Mark G. Reith is an Assistant Professor of Computer Science at the Air Force Institute of Technology (AFIT), part of the U.S. Air Force’s Air University. He is based at Wright-Patterson Air Force Base, Ohio, within the Graduate School of Engineering and Management. Dr. Reith holds a Ph.D. in Computer Science from the University of Texas at San Antonio (2009), an M.S. in Computer Science from AFIT (2003), and a B.S. in Computer Science from the University of Portland (1999). Ph.D., Computer Science, University of Texas at San Antonio, 2009 M.S., Computer Science, Air Force Institute of Technology, 2003 B.S., Computer Science, University of Portland, 1999 Dr. Reith's research focuses on cybersecurity, cyber education, game-based learning, and multi-domain operations. He investigates operational cybersecurity in space systems, software factories, and military training through serious games. His work emphasizes trust management, cyber risk assessment, and defense acquisition innovation. He actively promotes STEM outreach and cyber workforce development within the Department of Defense. His recent publications reflect a strong trend in defense-oriented cybersecurity research, particularly in the domains of space system security, military software acquisition, and gamified cyber training. Articles span journals such as Air & Space Operations Research , Defense Acquisition Research Journal , and International Journal of Serious Games , highlighting interdisciplinary work bridging computer science, military strategy, and education. Dr. Reith has received notable recognition, including: AFA Colonel Charles A. Stone Award (2023) DAF Outstanding STEM Outreach Champion Award (2023) AFIT Team of the Quarter (2017) Bernard A. Schriever Essay Contest Winner (2017) He has advised numerous graduate students, many of whom are co-authors on his publications, particularly in the areas of cyber risk, space cybersecurity, and educational games. Dr. Reith has also contributed to research grants and initiatives focused on improving cyber hygiene, military IoT security, and multi-domain command and control. He is a frequent invited speaker on topics such as game-based learning and industry-academia collaboration in cybersecurity. Dr. Reith is actively involved in research labs and teams at AFIT, particularly those focused on cyber education, serious games (e.g., Battlespace Next), and operational cybersecurity. His work often involves collaboration with students and faculty across engineering, systems, and defense domains.
Professor Jeevan R. Sharma serves as Chair of South Asia and International Development and Co-director of the Centre of South Asian Studies at the University of Edinburgh's School of Social and Political Science. An elected General Secretary of the Britain Nepal Academic Council (BNAC), he brings extensive field research experience from Nepal, India, Sri Lanka, and Malawi to his work in development and political anthropology. His current Wellcome Trust-funded transdisciplinary project examines health and well-being of South Asian migrant workers through collaboration with medical scientists and social anthropologists at Aga Khan University and Kathmandu Medical College. Sharma's research interests span labor migration, border-crossing, Maoist conflict, humanitarianism, human rights documentation, and health policy with particular focus on gender dynamics and social transformation. His fieldwork has investigated community health volunteers, maternal and child health, and international research collaboration in South Asia. He has previously worked at Feinstein International Centre at Tufts University (2009-2011) and Save the Children UK (2007-2009), bringing practical development experience to his academic work. His publication trends reveal consistent focus on migration, health policy, and political transformation in South Asia, with increasing attention to transnational health issues and pandemic impacts on vulnerable populations. Recent work examines Covid-19's effects on migrant workers, mental health policy in Nepal, and cross-cultural health measurement tools, demonstrating his commitment to bridging academic research with practical health interventions. Elected General Secretary of the Britain Nepal Academic Council (BNAC) Co-editor of HIMALAYA Journal (2019-2025), transitioning to Editor-at-large from January 2025 Associate Editor of 'South Asia: Journal of South Asian Studies' Co-editor of Routledge Edinburgh South Asia Series Member of ESRC GAP panel C (2024-2025) Member of the commissioning panel for the ESRC Centres Competition 2018 Sharma has secured significant research funding including a Wellcome Trust grant for migrant worker health research, ESRC funding for projects examining low-income migrant workers' access to services in India, and NERC funding for flood resilience research in Nepal's Terai region. His collaborative approach is evident in projects involving multiple institutions across South Asia and the UK, with particular emphasis on transdisciplinary work that bridges social science and medical research. He has served as Principal Investigator on six completed projects and currently leads an active Wellcome Trust-funded initiative. As Co-director of the Centre for South Asian Studies in Edinburgh, Sharma contributes to one of the UK's leading institutions for South Asian research, fostering academic collaboration and knowledge exchange between scholars in the UK and South Asia. His work with the Britain Nepal Academic Council strengthens bilateral academic relations, while his editorial roles with HIMALAYA Journal and South Asia: Journal of South Asian Studies position him at the forefront of scholarly discourse on the region.
Emma Martin is Senior Lecturer in Museology at the University of Manchester's School of Arts, Languages and Cultures, where she serves as Associate Director for Research (Impact and Knowledge Exchange). With over 25 years of professional experience including 17 years as Senior Curator for National Museums Liverpool (2003-2020), her work bridges academic research and museum practice. Her current research focuses on colonial-era Tibetan collections, contemporary museum activism, and dissident curatorial practices in exile contexts. Dr. Martin's research interests sit at the critical intersection of colonialism, Tibetan Studies, and material culture studies. She examines how colonial-era museum collections continue to shape contemporary representations of Tibet while exploring pathways for Tibetan agency in museum decision-making. Her practice-led research includes serving as curatorial advisor to the Dalai Lama Centre for Tibetan and Ancient Indian Wisdom (2024-25) and leading the development of the Tibet Museum for the Central Tibetan Administration (2017-2023). She co-convenes the international Tibetan Materiality Network, fostering cross-border collaboration on Himalayan material culture research. Her publication trends reveal a sustained focus on decolonizing museum practices through historical analysis of Tibetan material culture. Early work examined colonial collecting networks and diplomatic gift exchanges, while recent publications address contemporary issues like digital sovereignty, museum representation of diaspora communities, and dissident curatorial methodologies. Her scholarship consistently connects archival research with practical museum interventions, demonstrating how historical understanding can inform ethical contemporary practice. Fellow, Royal Asiatic Society Fellow, Higher Education Academy Dr. Martin has supervised four completed PhDs and currently mentors five doctoral students working on topics spanning South Asian, Himalayan, and Tibetan museology. Her research project "Object Lessons from Tibet and the Himalayas" involves international collaboration with institutions in Copenhagen and explores how material culture can challenge colonial narratives. Her impact work includes developing new museological approaches for representing Tibet, referenced in Wikipedia and cited by policy makers addressing cultural restitution. She leads the Tibetan Materiality Network connecting European and Asian researchers, and her current monograph "The Dissident Museum: Oppositional Curating at the Tibet Museum" (Routledge) documents innovative curatorial practices developed during the Tibet Museum project. Her external roles include curatorial advisory positions with Tibetan cultural institutions and examination duties at UCL and University of Westminster.
Rachee Singh is an Assistant Professor of Computer Science at Cornell University, leading the sysphotonics research group. She concurrently serves as an Amazon Scholar within the SageMaker Hyperpod teams, specializing in large-scale machine learning infrastructure development for cloud environments. Her research focuses on photonic interconnect systems for server-scale, rack-scale, and long-haul communication networks, targeting performance optimization for distributed machine learning and planet-scale cloud workloads. Key specialties include optical network design, fault-tolerant WAN architectures, and energy-efficient datacenter interconnects, with strong emphasis on practical deployment in real-world systems. Her group bridges theoretical networking principles with applied AI infrastructure challenges. Recent publications demonstrate concentrated innovation in photonic network optimization for ML workloads, particularly in wavelength management, collective communication algorithms, and chip-to-chip photonic fabrics. This work spans optical physics, distributed systems, and machine learning, revealing a trajectory toward sustainable, high-performance AI infrastructure. Scientific recognition includes: Amazon Research Award (2023) Cisco Research Award Dr. Singh actively mentors graduate researchers including Jonathan Aimuyo, Byungsoo Oh, and Arjun Devraj, whose co-authored publications form the core of her group's output. Research funding is secured through competitive grants from the NSF (including a $1M award for chip-to-chip photonic fabrics), SRC/DARPA JUMP 2.0 program, Cisco, and Cornell's Atkinson Center for Sustainability. The sysphotonics group operates as Cornell's hub for photonic network systems research, developing programmable integrated photonics solutions and collaborating with Amazon on SageMaker Hyperpod for next-generation ML infrastructure.
Bryan Parno is a Professor at Carnegie Mellon University in the Departments of Electrical & Computer Engineering and Computer Science . He is the recipient of the Kavčić-Moura Chair and leads the Secure Foundations Lab , focusing on end-to-end secure systems through formal verification. Research spans secure systems , applied cryptography , distributed systems , and zero-knowledge proofs Developed Verus (verified Rust systems) and Project Everest (verified HTTPS stack) Key contributions include Ironclad , Flicker , and Pinocchio , with impacts on Intel CPUs and Windows/iOS security models His work emphasizes open-source tools and reproducibility , often published in top venues like POPL, PLDI, and IEEE S&P. Recent projects address WebAssembly security and formal verification of complex distributed systems . Major Awards Jay Lepreau Best Paper Award (OSDI 2025) IEEE Cybersecurity Award for Practice (2024) Sloan Research Fellowship (2018) Test-of-Time Awards (IEEE S&P 2023, IEEE S&P 2020) Best Paper Awards at USENIX Security, OOPSLA, and PLDI
Joss Wright is an Associate Professor and Senior Research Fellow at the Oxford Internet Institute , University of Oxford. He co-directs the Oxford EPSRC Cybersecurity Doctoral Training Centre and the Oxford Martin Programme on the Wildlife Trade, focusing on computational approaches to social science questions about information control and privacy. Education : PhD in Computer Science from the University of York (research on anonymous communication systems), postdoctoral work at the University of Siegen (cloud computing security). His research spans internet censorship , privacy-enhancing technologies , and cyber-enabled crime (notably the online illegal wildlife trade ). He bridges technical analyses of security systems with their social and political implications, advising the European Commission and UK Parliamentary Science Committee on digital policy. Recent work includes machine learning applications to detect patent filing trends related to wildlife trade and analyzing Chinese smart city surveillance for human rights risks. He has contributed to media outlets like the Guardian and New Scientist. Notable projects include the Oxford Martin Programme on Wildlife Trade and studies on discriminatory effects of internet filtering . He supervises students like William Lugoloobi (DPhil in Social Data Science) and former advisee Samantha Bradshaw (now Assistant Professor at American University).
