جست‌وجوی استاد و پژوهشگر

• Web Application Development
• Front-end Development
• Back-end Development
• +۲ مورد دیگر

Jyoti Kumari serves as a Researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), working within the FINATRAX research group led by Prof. Gilbert Fridgen. Her role focuses on research and development in digital financial services and cross-organizational digital transformations. She earned her Master’s degree from the National Institute of Technology, Allahabad (India) in 2014. Prior to joining the university, she accumulated seven years of professional experience as a senior software engineer in various IT companies. Her research expertise spans full-stack web application development, with specialization in both front-end interfaces and back-end services. She emphasizes practical implementation of software solutions for real-world deployment in financial technology contexts, particularly through iterative development and user-centered design approaches. No scientific awards are documented in the available information. Details regarding graduate student advising and research grant management are not specified in current records. The FINATRAX research group provides her primary institutional framework, concentrating on innovation in digital payment systems, blockchain applications for financial services, and organizational change management during digital transformation initiatives.

Tom Lentzمشاهده پروفایل

استادیار

• Prosody
• Automatic Speech Recognition
• Computational Linguistics
• +۴ مورد دیگر

Tom Lentz is an Assistant Professor at Tilburg University's Department of Communication and Cognition within the Tilburg School of Humanities and Digital Sciences. His research focuses on prosody, speech recognition, computational linguistics, and human-agent interaction. Notable projects include analyzing stress processing in end-to-end ASR models and investigating prosody alignment in voice agents to enhance perceived human-likeness. He serves on the board of the Nederlandse Vereniging voor Fonetische Wetenschappen. Research interests span prosodic features in speech synthesis, implicit causality in language models, and cross-linguistic speech timing. His work combines experimental psycholinguistics with computational methods, addressing challenges in synthetic speech interpretation and AI interpretability. Recent contributions include studies on voice agent persuasiveness and multidimensional signal analysis in human speech. Teaching responsibilities include courses on annotation, programming fundamentals, and voice-body language dynamics. His publications bridge theoretical linguistic inquiry with applied AI research, emphasizing practical implications for conversational agent design and speech technology development.

Neil Ernstمشاهده پروفایل

دانشیار

• Software Engineering
• Software Architecture
• Requirements Engineering
• +۶ مورد دیگر

Neil Ernst is an Associate Professor in the Department of Computer Science at the University of Victoria and Director of the Matrix Institute for Applied Data Science. His research focuses on software architecture, requirements engineering, technical debt management, and the integration of AI into software development practices. He previously worked at the Software Engineering Institute (CMU) and holds a PhD in Computer Science from the University of Toronto. Education: PhD in Computer Science, University of Toronto, 2011 M.Sc. in Computer Science, University of Victoria, 2004 Bachelor’s degree with research in Geography and GIS, University of Victoria Research Interests: Software engineering methodologies, empirical studies, technical debt, AI-driven development, and interdisciplinary applications of computing sciences. His work emphasizes human-centered approaches to software architecture and the ethical implications of AI in development practices. Professional Roles: Senior Associate Editor, Journal of Systems and Software Associate Editor, Journal of Empirical Software Engineering Advisor for International Conferences (e.g., ICSE, RE, XP) Current Projects: Technical debt in scientific software, climate informatics, and the societal impacts of AI in software engineering. He advocates for open science and registered reports to improve research rigor. Labs & Teams: Leads the Matrix Institute for Applied Data Science, focusing on transdisciplinary data science applications.

Rashina Hodaمشاهده پروفایل

استاد

• Software Engineering
• Human and Socio-Technical Aspects
• Responsible AI
• +۳ مورد دیگر

Rashina Hoda is a Professor of Software Engineering at Monash University, Australia, and currently serves as Associate Dean for Equity, Diversity, and Inclusion (ED&I). Her research focuses on the human and socio-technical dimensions of software engineering, artificial intelligence, and digital health. She holds a PhD in Computer Science from Victoria University of Wellington and a BSc (Honours) from Louisiana State University. As an Associate Dean ED&I, she introduced intersectional approaches to institutional policy. Her advocacy for women in STEM earned the 2024 Guiding Star Mentorship Award. She has been recognized as a 2021-22 Superstar of STEM by Science & Technology Australia. Her key research contributions include advancing socio-technical grounded theory methodologies, as detailed in her 2024 Springer book. She leads projects like the RAISE initiative (Responsible AI Software Engineering Capability) and the DHCRC Translational DH Research Fellowship. She has authored/co-authored over 116 publications spanning journals like IEEE Software and AI & Society, with a focus on ethics, agile methodologies, and human-centric AI. Hoda serves on editorial boards for IEEE Transactions on Software Engineering and IEEE Software, and has organized major conferences like ICSE and Agile. Her awards include the 2017 ICSE Distinguished Paper Award and the 2020 Distinguished Reviewer Award. Her work intersects with UN Sustainable Development Goals related to quality education and gender equality. She actively engages with industry, media, and public audiences through talks, media features, and workshops such as her 2019 TEDx talk on Agile responses to societal challenges.

Lawrence Stevensonمشاهده پروفایل

استادیار بالینی

• Occupational Therapy
• Healthcare Equity
• Medical Education
• +۶ مورد دیگر

Lawrence Stevenson is an Assistant Professor of Clinical Occupational Therapy at the University of Southern California (USC) Division of Occupational Science and Occupational Therapy. He holds a Doctorate of Occupational Therapy (OTD) from USC, a Master’s in Occupational Therapy from Temple University, and a Bachelor’s in Elementary and Special Education from LaSalle University. His clinical expertise includes acute care, NICU, and trauma hospital settings, with specialties in medically complex patients. He has also served as a clinical lab instructor in intervention, evaluation, and neuroanatomy courses at Thomas Jefferson University. His research interests focus on healthcare equity, particularly end-of-life care for queer communities, harm reduction strategies for drug users and sex workers, and centering student voice in medical pedagogy. He is a certified HIV Testing Counselor trained in Motivational Interviewing by the San Francisco Department of Public Health. Lawrence is actively involved in curriculum development within the entry-level occupational therapy doctorate program at USC, emphasizing themes of Justice, Equity, Diversity, and Inclusion (JEDI) in teaching and assessment practices. No specific grants or awards are listed, though his work integrates interdisciplinary approaches to clinical education and inclusive healthcare practices.

Christina Silverمشاهده پروفایل

دانشیار

• Qualitative Methodology
• Computer-Assisted Qualitative Data Analysis (CAQDAS)
• Technology in Research
• +۳ مورد دیگر

Dr. Christina Silver is an Associate Professor (Teaching) in Sociology at the University of Surrey and Director of the CAQDAS Networking Project. She holds a PhD from the University of Surrey (2002), an MSc in Social Research Methods (Surrey, 2000), and a BA (Hons) in Politics and Sociology (Essex, 1997). Her work focuses on qualitative methodology, particularly the integration of technology like CAQDAS software into research and pedagogy. As Director of the CAQDAS Networking Project since 1998, she oversees training programs, advisory services, and course development for researchers globally. Her research explores how software tools like NVivo, ATLAS.ti, and MAXQDA enhance qualitative analysis, with a focus on pedagogical frameworks such as the Five-Level QDA method. She has pioneered online teaching strategies for CAQDAS during the pandemic, emphasizing synchronous learning and digital adaptability. Key contributions include co-developing the Five-Level QDA method, which structures learning through objectives, plans, and software tool utilization. Her recent work addresses AI’s role in qualitative analysis, balancing innovation with critical reflection. She has collaborated with institutions like Southampton and Birmingham Universities on projects such as the Mass Observation longitudinal study. Publications span over two decades, covering CAQDAS software comparisons, methodological debates, and educational innovations. Her work bridges technical proficiency with methodological rigor, influencing both researchers and educators worldwide.

Mayank Variaمشاهده پروفایل

دانشیار

• Cryptography
• Data Privacy
• Secure Multiparty Computation
• +۳ مورد دیگر

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 Holynskiمشاهده پروفایل

استاد

• Quantum Sensing
• Atom Interferometry
• Quantum Technology Commercialization
• +۳ مورد دیگر

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 Hurstمشاهده پروفایل

دانشیار

• Human-Centered Computing
• Assistive Technology
• Context-Aware Computing
• +۲ مورد دیگر

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 Aubeeluckمشاهده پروفایل

استاد

• Health Psychology
• Mental Health
• Chronic Illness Management
• +۳ مورد دیگر

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 Huangمشاهده پروفایل

استادیار

• Usable Security
• Privacy
• Networking
• +۳ مورد دیگر

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 Hutchinsonمشاهده پروفایل

عضو هیئت علمی

• Bioethics
• Immersive Storytelling
• Audio Technology
• +۴ مورد دیگر

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 Flikkaمشاهده پروفایل

دانشیار

• Proteomics
• Bioinformatics
• Mass Spectrometry
• +۴ مورد دیگر

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 Raiaمشاهده پروفایل

پژوهشگر ارشد

• Geoscience Data Management
• Digital Archival of Geomaterials
• UX/UI Design for Scientific Data
• +۴ مورد دیگر

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)
• +۱۲ مورد دیگر

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.