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Mayank VariaView profile

Associate Professor

• Cryptography
• Data Privacy
• Secure Multiparty Computation
• +3 more

Mayank Varia is an Associate Professor in the Faculty of Computing and Data Sciences at Boston University, where he also serves as Director of Undergraduate Studies and Civic Tech Hub Director. He holds a PhD in Mathematics from MIT (2010). His research focuses on the computational and social aspects of cryptography, emphasizing privacy-preserving data analysis for societal issues like economic inequality, minority business subcontracting, and sexual misconduct reporting. He actively contributes to policy through roles in the U.S. Advisory Committee on Data for Evidence Building and the United Nations Privacy-Preserving Techniques Task Team. Research interests span secure multiparty computation, cryptographic protocols for privacy, and ethical data use. His work addresses legal and technical challenges in balancing privacy with compliance, notably through tools like Callisto for detecting serial misconduct. Recent articles highlight advancements in secure cloud analytics, exposure notification systems, and policy frameworks for encryption. He has received grants including EAGER/SaTC funding for multi-regulation computing research. His leadership in initiatives like the Civic Tech Hub and Conclave (secure MPC platform) underscores his commitment to bridging academia, industry, and public policy.

Michael HolynskiView profile

Professor

• Quantum Sensing
• Atom Interferometry
• Quantum Technology Commercialization
• +3 more

Professor Michael Holynski is a Professor of Quantum Sensing at the University of Birmingham's School of Physics and Astronomy and Principal Investigator at the UK Quantum Technology Research Hub in Sensing, Imaging and Timing. He leads the Quantum Sensing group, focusing on atom interferometry applications in infrastructure monitoring, navigation, and fundamental physics. His research emphasizes developing deployable quantum sensors for sectors like climate, energy, and communications. Education: Holds a PhD (qualification details not specified). Research interests include advancing quantum sensing technologies, compact device development, and improving sensor sensitivity. He actively collaborates with industry on prototype sensors and commercialization. Awards: 2022 Institute of Physics James Joule Medal and Prize Advising and Grants: Leads collaborative projects with industry partners, focusing on component development and system-level sensor prototyping. Engages in end-user applications across diverse sectors. Part of the Midlands Ultracold Atom Research Centre, contributing to cold atoms research. Labs/Teams: Leads the Quantum Sensing group and participates in the Midlands Ultracold Atom Research Centre, advancing quantum technology translation into real-world applications.

Amy HurstView profile

Associate Professor

• Human-Centered Computing
• Assistive Technology
• Context-Aware Computing
• +2 more

Amy Hurst is an Associate Professor at New York University (NYU) with a joint appointment in the Occupational Therapy Department at the Steinhardt School of Culture, Education, and Human Development and the Technology, Culture and Society Department at the Tandon School of Engineering. She directs the NYU Ability Project , an interdisciplinary initiative focused on disability and technology, and is part of the Center for Responsible AI . Her research emphasizes human-centered computing, assistive technology, and accessibility, with a focus on empowering marginalized groups through DIY fabrication and inclusive design. Education: PhD in Human-Computer Interaction (Carnegie Mellon University, 2010) BS in Computer Science (Georgia Institute of Technology, 2004) Research Interests: Dr. Hurst’s work spans accessibility challenges, assistive technology design, and participatory methods with end-users. She explores how accessible tools can democratize technology creation for people with disabilities, particularly through nonvisual design workflows , tactile graphics , and adaptive interfaces . Recent projects include live coding accessibility for mixed-vision ensembles and neurodiversity-affirming STEM programs for autistic youth. Key Contributions: Developed SoundCells , a browser-based music notation tool for braille users Advocated for inclusive museum accessibility via DIY fabrication (e.g., 3D-printed tactile maps) Pioneered youth employment programs integrating adaptive technology training Labs & Collaborations: As director of the Ability Project, she fosters cross-disciplinary teams addressing disability through technology. The Center for Responsible AI aligns her work with ethical AI applications. Past roles include Associate Professor at UMBC (2010–2018), where she led Human-Centered Computing graduate programs.

Aimee AubeeluckView profile

Professor

• Health Psychology
• Mental Health
• Chronic Illness Management
• +3 more

Professor Aimee Aubeeluck is a Professor of Health Psychology and Head of the School of Health Sciences at the University of Surrey. She holds a BA (Hons) in Psychology, MSc in Health Psychology, PhD in Health Psychology (2005), and a Postgraduate Certificate in Higher Education. As a Chartered Psychologist (BPS) and Registered Health Psychologist (HCPC), her work focuses on caregiver well-being, dementia care, healthcare education, and mental health services. Her research explores compassionate care in nursing education, quality of life for dementia caregivers, and resilience in healthcare professionals. Notable contributions include developing clinical tools (e.g., MOCHAD-10 for dementia risk reduction) and validating caregiver quality-of-life assessments across neurodegenerative diseases. She has also published on strategic management in universities and palliative care for neurological conditions. Key Research Areas: Caregiver support, chronic illness management, healthcare education, and dementia prevention. Recent Focus: Interdisciplinary approaches to compassionate nursing education, photovoice methods in MS caregiving studies, and electronic decision support systems for suicidality assessment. Professor Aubeeluck has been honored with the prestigious Purple Plaque (2024) for academic excellence. Her work bridges clinical practice and policy, emphasizing caregiver empowerment and evidence-based interventions.

Danny Yuxing HuangView profile

Assistant Professor

• Usable Security
• Privacy
• Networking
• +3 more

Danny Yuxing Huang is an Assistant Professor at the NYU Tandon School of Engineering, affiliated with the Departments of Electrical and Computer Engineering and Computer Science and Engineering. He is also associated with the NYU Center for Cybersecurity (CCS), the Center for Urban Science + Progress (CUSP), and the Center for Advanced Technology in Telecommunications (CATT). His research focuses on the security and privacy of consumer-facing technologies, particularly Internet-of-Things (IoT) devices and smart homes. Before joining NYU, he was a postdoctoral fellow at Princeton University. He holds a Ph.D. in Computer Science from UC San Diego and a BA in Computer Science from Williams College. His research interests include usable security and privacy for non-experts, networking, and systems. Notable projects include IoT Inspector , a crowdsourced platform for analyzing smart home device traffic, and RouterSense , a health monitoring system using network data. He explores topics such as privacy negotiation in rentals, IoT device vulnerabilities, and ethical AI applications in security. His work has been featured in news articles highlighting privacy threats in smart homes and K-12 schools. Huang’s contributions span interdisciplinary collaborations across cybersecurity, urban science, and telecommunications. He actively engages in public discourse on cybersecurity education and policy through the NYU CCS.

Lauren Arora HutchinsonView profile

Academic

• Bioethics
• Immersive Storytelling
• Audio Technology
• +4 more

Lauren Arora Hutchinson, PhD, MPH, is an Assistant Research Professor and Director of the Dracopoulos-Bloomberg iDeas Lab at the Johns Hopkins Berman Institute of Bioethics. She combines academic expertise with innovative storytelling through immersive technologies. Previously a BBC journalist and audio storyteller, she has produced over 20 features exploring intersections of technology and humanity, including award-winning projects like Pilgrim , the world's first augmented reality podcast. Education: PhD in History of Science (London School of Hygiene & Tropical Medicine), MPH in Global Public Health. She taught for six years in the MPH program and completed a Wellcome Trust Media Fellowship. Current roles include Research Fellow at Johns Hopkins' Immersive Storytelling Lab and Artist-in-Residence at the Made in NY Media Centre. Research focuses on ethical dilemmas in medical innovation, neurotechnology governance, and public engagement through immersive media. Her work bridges bioethics with creative technology, emphasizing participatory storytelling methods. Awards include the Wellcome Trust Imperial Media Fellowship. Notable projects include the Playing God? podcast series on medical ethics and the Neuroscience & Society film exploring public views on neurotechnology. Labs/Teams: Directs the iDeas Lab (bioethics innovation hub) and collaborates with the Immersive Storytelling & Emerging Technologies Lab. Advises on AR/VR ethics in storytelling and healthcare contexts.

Kristian FlikkaView profile

Associate Professor

• Proteomics
• Bioinformatics
• Mass Spectrometry
• +4 more

Kristian Flikka is an Associate Professor at the Department of Informatics, University of Bergen. His research focuses on computational methods in proteomics, bioinformatics, and mass spectrometry. He has expertise in developing tools for proteomic data analysis, including clustering algorithms, spectral quality filtering, and biomarker discovery. His work bridges computational techniques with life sciences, addressing challenges in data preprocessing, error reduction, and interpretability in AI models. Education: PhD in Computational Methods in High-Throughput Proteomics Research (2007) MSc in Methods for Analyzing 2D Electrophoretic Gel Images (2002) Research Interests: His research spans proteomics, computational biology, and AI applications in time series classification. Key areas include: Development of open-source tools for mass spectrometry data (e.g., ms_lims) Prediction of membrane protein structures (BOMP program) Pre-analytical proteomic data treatment Explainable AI for end-user model interpretation Publications: Over 15 publications since 2002, with notable contributions in BMC Bioinformatics , Proteomics , and Nucleic Acids Research . Recent work explores XAI in time series classification, reflecting expanded interests in AI interpretability. Awards & Grants: No specific awards listed, but his research has been supported by grants like the Norwegian Research Council (329745, 2022-2026). Labs/Teams: Collaborates with interdisciplinary teams at the University of Bergen, NORCE Norwegian Research Center, and international partners (e.g., Ghent University). Active in computational proteomics and AI-driven bioinformatics projects.

Natalie RaiaView profile

Research Fellow

• Geoscience Data Management
• Digital Archival of Geomaterials
• UX/UI Design for Scientific Data
• +4 more

Natalie Raia serves as a Postdoctoral Research Associate II at the University of Arizona's College of Information Science and works as a UX and Community Researcher for the System for Earth and ExtraTerrestrial Sample REgistration (SESAR). Her work focuses on enhancing discoverability, curation, and ethical sharing of scientific sample collections through open science infrastructure development. Her educational background includes: Ph.D. in Earth Sciences (Metamorphic Geology and Tectonics), University of Minnesota-Twin Cities (2023) B.S. in Geological Sciences with Special Honors, University of Texas at Austin (2016) B.A. in Plan II Liberal Arts Honors, University of Texas at Austin (2016) Dr. Raia's research integrates geoscience data management with human-centered design principles, specializing in digital archival systems for geomaterials and developing interoperable data standards. With decade-long experience in geochemistry research, she addresses critical friction points in open science ecosystems including persistent identifier implementation, sample-data linkage, and compliance with evolving funder mandates. Her work prioritizes end-user needs while advancing FAIR (Findable, Accessible, Interoperable, Reusable) data principles across scientific disciplines. Her publications reveal a strong focus on infrastructure gaps in scientific data citation practices. The 2025 study in CODATA's Data Science Journal exposed critical deficiencies in bibliographic tools for dataset citation, while her Nature Scientific Data paper (2025) established best practices for Earth Science sample citation through multi-stakeholder engagement. These works collectively drive standardization in physical sample identification and promote traceable data pathways across the research lifecycle. Key recognitions include: 2023 ESIP Community Fellowship and AGU Voices for Science Fellowship NSF GRFP Honorable Mentions (2017, 2019) Smithsonian Institution Predoctoral Fellowship (2019) AGU Board of Directors election (2024) She actively shapes science policy through AGU's Digital User Group and data policy committees, while collaborating with publishers, academic societies, and institutions like the Smithsonian to develop sustainable data infrastructure. Her grant-funded work through ESIP and AGU fellowships focuses on community-driven solutions for sample registration systems and metadata standardization. As part of SESAR's core team, she contributes to developing the global sample identifier ecosystem, working closely with Earth Science Information Partners and the International Geo Sample Number initiative to create interoperable frameworks for physical specimen tracking across repositories and publications.

• Cloud Computing
• Distributed Systems
• High-Performance Computing (HPC)
• +12 more

Antony Chazapis is a postdoctoral researcher at the Computer Architecture and VLSI Systems Lab (CARV), Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH-ICS), and a visiting instructor at the Computer Science Department, University of Crete. He holds a PhD from the National Technical University of Athens (2009) and has extensive experience in both industry and academia, focusing on distributed systems, cloud computing, and high-performance computing (HPC). His research interests span Cloud-Native Architectures , Kubernetes , Containerization , Microservices , DevOps , MLOps , and AI/ML acceleration . He actively works on integrating cloud technologies with HPC, aiming to build next-generation European supercomputing and cloud infrastructures. The most recent publications highlight a strong trend in Kubernetes-HPC convergence , cloud-native workflows , and containerized HPC environments . His work explores orchestration, isolation, performance optimization, and runtime frameworks for heterogeneous accelerators, indicating deep engagement in modern distributed system design. He teaches the postgraduate course CS-548: Cloud-native Software Architectures , covering containerization, microservices, serverless computing, and advanced Kubernetes internals. Students engage in hands-on exercises and projects related to scaling, CI/CD, and cloud service integration. Antony Chazapis contributes to European research initiatives focused on unifying cloud and HPC technologies. He is also a creator and contributor to various open-source projects, demonstrating strong community engagement and practical software development skills.

Christina BergmannView profile

Researcher

• Early Language Acquisition
• Psycholinguistics
• Computational Linguistics
• +3 more

Christina Bergmann is a researcher at the Max Planck Institute for Psycholinguistics in Nijmegen, The Netherlands, where she works within the Language Development Department . She previously conducted postdoctoral research at the Laboratoire de Sciences Cognitives et Psycholinguistique (Ecole Normale Supérieure, Paris) and completed her PhD at Radboud University Nijmegen and the International Max Planck Research School for Language Sciences . B.Sc. in Cognitive Science (University of Osnabrück, 2007) M.Sc. in Cognitive Neuroscience (Radboud University, 2009) PhD in Early Language Acquisition (Radboud University & Max Planck Research School, 2014) Her research focuses on how infants develop language skills despite variable environments, using experimental studies, large-scale collaborations, corpus analysis, meta-analyses, and computational models. She investigates how parental beliefs and input variability affect infant language acquisition. Christina's publications demonstrate expertise in computational modeling of speech processing, infant word recognition, and pronoun comprehension. Her work spans interdisciplinary approaches combining psycholinguistics, cognitive science, and artificial intelligence, with a particular emphasis on methodological transparency and collaborative research practices. Marie Skłodowska-Curie individual fellowship She has collaborated with leading researchers like Alejandrina Cristia and Emmanuel Dupoux , and contributes to platforms such as CogTales to support junior female cognitive scientists. Her career has been supported by institutions including the Dutch Science Organisation (NWO) , Fondation Pierre-Gilles de Gennes , and Ecole de Neurosciences Paris .

Malte RessinView profile

Associate Professor

• Software Localization
• Agile Software Development
• Human-Computer Interaction
• +12 more

Dr. Malte Ressin is an Associate Professor in Computer Science at the School of Computing and Engineering, University of West London . He has extensive experience in both academia and the software development industry, with a research focus on interdisciplinary collaboration in software development and productive mobile computing. University: University of West London School: School of Computing and Engineering Position: Associate Professor in Computer Science Email: malte.ressin@uwl.ac.uk His research spans software localization, agile development, human-computer interaction, additive manufacturing, and educational technology. He has contributed to numerous peer-reviewed journals, conferences, and book chapters, often in collaboration with international researchers. His work bridges technical software engineering with sociocultural and usability aspects, particularly in global development contexts. The recent publications show a trend toward applied computing in education, manufacturing, and accessibility, with increasing use of machine learning and empirical methods. His work connects software engineering practices with real-world applications in FMCG, esports, and vocational training. Degree Apprenticeship Assessment 3D Printing User Behavior AI in Ubiquitous Environments Software Localization in Agile CAD Data Standards Inclusive Esports Design Dr. Ressin has supervised or co-supervised research activities and contributed to teaching across multiple programs including BSc and MSc degrees in Computer Science, Information Technology, and Digital and Technology Solutions. He has presented at major software engineering conferences such as ICSE, XP, and INTERACT. His doctoral research focused on interdisciplinary collaboration in software localization, forming the foundation of his ongoing scholarly contributions.

• Electromagnetic Field Design
• Antenna Engineering
• Computational Intelligence
• +3 more

Rocío Sánchez Montero is an Associate Professor in the Department of Signal Theory and Communications at the University of Alcalá. She holds a PhD from the same institution (2011), focusing on computational intelligence techniques for robust design of radiant devices. Her work is centered in the Radiation and Sensing Group (RSG), addressing challenges in antenna engineering, electromagnetic field optimization, and biomedical applications. Her research interests include antenna design, wireless systems, and bioengineering applications of electromagnetic fields. Notably, she has pioneered methods for exposure mapping using evolutionary algorithms and developed miniaturized antennas for medical and industrial use. Her work integrates computational intelligence with hardware design, emphasizing practical applications in telecommunications and healthcare. Recent publications highlight advancements in wearable antennas, cryogenic radio telescope front-ends, and wireless power transfer for implantable devices. She also contributes to data protection policies, particularly pseudonymization techniques for public administration. Though no formal awards are listed, her prolific output (over 50 publications since 2003) reflects sustained contributions to electromagnetic engineering and interdisciplinary research. She advises through her teaching roles and collaborates on innovative projects at the Yebes Observatory and biomedical engineering interfaces.

• Music Technology
• User Experience (UX) Design
• Human-Computer Interaction (HCI)
• +7 more

Dr. Chris Nash is a Senior Lecturer in Music Technology at the University of the West of England (UWE Bristol), specializing in software development for audio, sound, and music. He leads the computing pathway for BSc(Hons) Music Technology courses and holds a PhD from the University of Cambridge (2011) focusing on systems for music production and creativity. His work bridges academic research and industry practice, emphasizing end-user technologies and real-world applications. Education: BEng (York), MPhil (Trinity College Dublin), PhD (Cambridge). Research interests include music composition, user experience design, HCI, algorithmic music systems, and digital creativity. He collaborates with institutions like Point Blank Music School, Huddersfield University, and industry partners such as Steinberg/Yamaha, BBC, and startups like JukeDeck. His projects include the award-winning reViSiT DAW plugin and Manhattan, a hybrid DAW/music programming language. Notable collaborations and projects include BBC Music Day 2018, where live crowd movements influenced generative music. His technical expertise spans C++, DSP, VR/spatial audio, and MIR (Music Information Retrieval). Labs/Teams: nash.audio (his personal projects) and contributions to the TENOR Network. He actively publishes on generative music, interactive systems, and music education technologies.

Valeria PontilloView profile

Researcher

• Software Engineering
• Machine Learning
• Test Automation
• +3 more

Valeria Pontillo is a Researcher in the Department of Informatics and Applied Informatics, focusing on software engineering, machine learning, and testing methodologies. Her work emphasizes empirical investigations into test smell detection, flaky test prediction, and security testing practices. She has contributed to datasets like E2EGit and led studies on test automation and anomaly detection. Pontillo's research has been recognized with the MSR 2025 Distinguished Dataset Award. She actively organizes workshops on topics like intelligent software assistants and security testing for complex systems. Her research interests include software quality, empirical software engineering, and static/dynamic analysis of test code. Recent work explores the impact of test smells on manual testing, cross-project flaky test prediction, and performance testing in open-source web projects. Collaborations involve analyzing test maintenance practices and developing frameworks like QuantuMoonLight for quantum machine learning experimentation. Pontillo's datasets and publications highlight a focus on practical applications of machine learning in testing, with over 14 peer-reviewed articles since 2021. She maintains active participation in academic events, contributing to both conference proceedings and workshop organization globally.

Daniel V. McGeheeView profile

Professor

• Driver attention and response
• Automotive Safety
• Crash avoidance
• +4 more

Professor Daniel V. McGehee is a leading academic at the University of Iowa's College of Engineering, holding appointments in Industrial and Systems Engineering, Emergency Medicine, and Public Health. He directs the Driving Safety Research Institute (DSRI) and National Advanced Driving Simulator (NADS), focusing on driver behavior, automation safety, and human factors in transportation. His research spans ADAS systems, cannabis impairment effects, and tractor driving risks, with over $42M in grant funding. Key projects include 'ADS for Rural America' and the MyCarDoesWhat campaign. McGehee earned a PhD in Human Factors from the University of Leeds and has authored 150+ publications. His work integrates engineering, medicine, and policy to reduce traffic injuries. Education: PhD (Human Factors, University of Leeds), MS (Human Factors/Engineering Psychology, University of Idaho), BA (Psychology, Central Washington University). Research Priorities: Driver attention automation, crash avoidance, and trauma outcomes Labs: Applied Cognitive Engineering (ACE) Lab, DSRI Society Memberships: SAE International, Human Factors and Ergonomics Society Grants include studies on pedal misapplication, regenerative braking, and distracted driving trends. His work bridges academic research with real-world applications like NADS-Net AI for seat belt monitoring. McGehee collaborates globally, serving on the U.S.-EU-Japan trilateral automated vehicle working group.