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Jihyun Lee is an Assistant Professor in the Department of Mechanical and Manufacturing Engineering at the Schulich School of Engineering, University of Calgary. She was awarded the Anna Boyksen Fellowship by the Technical University of Munich Institute for Advanced Study (TUM-IAS) in 2021, hosted by Prof. Michael Zäh. Doctorate in Mechanical Engineering from University of Michigan-Ann Arbor (2016) Prior post at Korea Institute of Machinery and Materials (2016-2019) Her research focuses on mechatronics, robotics, manufacturing automation, and control systems , with applications in machine tools, additive manufacturing, and precision measurement. She integrates artificial intelligence and optimization to enhance industrial automation. Recent publications highlight work on vibration control , sensor fusion , and flexible manufacturing systems . Her team explores dynamic modeling , nanocomposite sensors , and human-in-the-loop robotics for industrial and marine applications. 2020 Remote Teaching Award, Schulich Engineering 2020 Early Achievement Award, Association of Korean-Canadian Scientists and Engineers 2018 Best Achievement Award, KIMM She supervises doctoral and master’s students at the University of Calgary, emphasizing hands-on experience and MATLAB/Python simulation skills in her lab. Her work bridges quantum logic and industrial robotics through interdisciplinary collaborations.

• Manufacturing Automation
• Mechatronics
• Robotics
• +7 more

Mo Mansouri is a Teaching Professor and Director of Graduate Studies at the Department of Systems and Enterprises, Charles V. Schaefer, Jr. School of Engineering and Science, Stevens Institute of Technology. He also serves as a Visiting Professor at the University of North-Eastern Norway, highlighting his international academic engagement. His leadership extends to directing Systems Engineering and Socio-technical Systems Programs, underscoring his central role in shaping academic and research initiatives in systems engineering. Education: PhD in Engineering Management, The George Washington University (2004) MS in Industrial Engineering, University of Tehran (1999) BS in Industrial Engineering, Sharif University of Technology (1997) Dr. Mansouri's research is centered on computational governance frameworks , resilience design , and behavioral modeling in complex socio-technical systems . His work applies systems thinking to urban systems, smart cities, infrastructure, and healthcare, with a strong emphasis on data-driven policy design and multi-stakeholder coordination. He investigates how real-time data, sensing, and analytics can inform governance in complex environments such as transportation, energy, and public health systems. His recent publications (2023–2024) reveal a strong trend toward AI and digital transformation in healthcare , electric and urban mobility systems , and pandemic and societal resilience . These works frequently employ systems thinking, systemigram modeling, and system of systems engineering methodologies, published in IEEE, INCOSE, and IARIA venues. The interdisciplinary nature of his research spans engineering, policy, and human behavior. Scientific Awards and Recognitions: While specific awards are not listed in the provided text, his leadership roles and extensive funding indicate high professional recognition. Advising and Grants: Dr. Mansouri has served as Principal Investigator (PI) or Co-PI on multiple high-value research grants totaling millions of dollars from DoD, Lockheed Martin, NED, and FAA. These projects focus on capability assessment, smart city dashboards, governance modeling, and social development. He mentors students through doctoral and master’s level courses and research, though specific advisee names are not provided. Labs and Research Teams: While specific lab names are not mentioned, his research is conducted within the Department of Systems and Enterprises at Stevens, involving collaborations with students and professionals in areas such as smart cities, healthcare systems, and infrastructure resilience. His work with international institutions and professional societies indicates active participation in global research networks.

• Systems Engineering
• Computational Governance
• Resilience Design
• +12 more

Jim Smith is a Professor in Interactive Artificial Intelligence at the University of the West of England (UWE), Bristol, affiliated with the School of Computing and Creative Technologies and the Department of Computer Science and Creative Technologies. He serves as Director of the Computer Science Research Centre and leads the AI@UWE theme. His research is supported by UKRI, Innovate UK, and partnerships with organizations including Health Data Research UK, Office for National Statistics, NHS Scotland, and DSTL. University: University of the West of England School: School of Computing and Creative Technologies Department: Department of Computer Science and Creative Technologies Role: Professor in Interactive Artificial Intelligence Leadership: Director, Computer Science Research Centre Research Interests : Jim Smith's work focuses on Interactive Artificial Intelligence, particularly at the intersection of AI and privacy preservation when using sensitive data for public good. His research includes statistical disclosure control, privacy leakage from AI models, evolutionary computation, machine learning, and systems that learn through human interaction or self-adaptation. He explores how AI can automate privacy checks in research outputs and assess vulnerabilities in trained models. Recent Publications : His recent work spans AI privacy in trusted research environments (e.g., SACRO, SDC-Reboot), dialogue act classification, human-robot interaction, and visualization of deep learning models. Themes include privacy-preserving AI, automated disclosure control, interactive machine learning, and neuromorphic computing. Machine Learning & Privacy Evolutionary Computation Interactive AI Systems Human-Computer Interaction Statistical Disclosure Control Federated Learning Security Scientific Awards : No specific awards are mentioned in the provided texts. Advising and Grants : He currently supervises PhD students on topics including spatio-temporal air quality modeling, federated learning privacy, and threat detection in mobile networks. He leads Innovate UK and UKRI-funded projects such as SACRO and SDC-Reboot, focusing on AI-driven solutions for data confidentiality in public sector research. Interactive Machine Learning for Claim Settlement (Innovate UK) SDC-Reboot (DARE UK/Health Data Research UK) Threat Identification in Mobile Networks (Ribbon Communications) Labs and Teams : He leads the AI@UWE initiative and the Computer Science Research Centre at UWE. His work involves collaboration through DARE UK and open-source development via the AI-SDC GitHub organization, which hosts tools from SACRO and GRAIMATTER projects.

• Interactive Artificial Intelligence
• Statistical Disclosure Control
• Privacy Leakage from AI Models
• +7 more

David Salesin is an Affiliate Professor in the Department of Computer Science & Engineering at the University of Washington and a Principal Scientist/Director at Google Research since 2019. He has held academic roles at Cornell University (Visiting Assistant Professor, 1991-92) and guest professorships at Zhejiang University. His career spans academia and industry, including leadership at Adobe's Creative Technologies Lab (2005-17) and Microsoft Research (1999-2005). PhD, Stanford University (1991) Sc.B., Brown University (1983) His research focuses on computer graphics, particularly non-photorealistic rendering, digital typography, color science, and adaptive document layout. He pioneered techniques in image-based rendering, pen-and-ink illustration, and facial animation, with applications in multimedia and user interface design. Article Trends : His work bridges procedural content generation, 3D visualization, and artistic computing, emphasizing user-driven tools for creative industries. Key subfields include texture advection, multiresolution modeling, and real-time camera control for virtual cinematography. Scientific Awards : ACM Fellow (2002) ACM SIGGRAPH Achievement Award (2000) Carnegie Foundation Professor of the Year (1998) NSF Presidential Faculty Fellow (1995-98) Alfred P. Sloan Research Fellowship (1995-97) Numerous industry grants and lab donations He has advised over 30 PhD and Master's students, including leaders at Microsoft, Pixar, and Google. His labs at UW and Adobe focused on graphics, imaging, and creativity tools.

• Computer Graphics
• Digital Photography and Video
• Non-Photorealistic Rendering
• +7 more

Mikael B. Skov is a Vice Dean and Professor at the Technical Faculty of IT and Design of Aalborg University , Denmark. His research spans human-AI interaction, robotics, and user experience, with a focus on trust signaling in clinical AI, swarm robotics, and sound zones for domestic environments. Role: Vice Dean for Research Department: Computer Science Research Interests: Skov investigates how humans interact with AI and robots in healthcare and domestic settings, emphasizing trust calibration, alert design, and acoustic comfort. His work includes developing frameworks for UX maturity in robotics organizations and studying long-term adoption of sound zone systems. Recent Projects: As principal/co-investigator, he leads the HERD project on human-AI collaboration in robot swarms (2021–2025) and supervises Data og Bæredygtig Mad (2020–2023), an HCI perspective on sustainable food systems. Publications: His 2024 work includes studies on AI explanations in clinical training, music applications with intermittent interactions, and multi-robot supervision. Earlier projects (2001–2020) focused on mobile device usability, UX practices, and context-aware computing.

• Human-Computer Interaction
• Artificial Intelligence
• Robotics
• +6 more

Dr. James Gilmore is an Associate Professor and Graduate Coordinator in the Department of Communication at Clemson University's College of Behavioral, Social and Health Sciences. He joined Clemson in 2018 after earning his Ph.D. in Communication and Culture from Indiana University. His academic foundation includes an M.A. in Film and Television from UCLA and a B.A. in Film and Media Studies from the University of South Carolina. Research Focus Dr. Gilmore's research examines the cultural politics of media and communication technologies, with emphasis on datafication (how human behavior is converted into data), wearable technologies (e.g., smartwatches, fitness trackers), and infrastructural systems . His work critiques surveillance norms, accessibility design, and solutionist approaches in tech. He authored Bringers of Order: Wearable Technologies and the Manufacturing of Everyday Life (UC Press, 2025) and co-edited anthologies on Orson Welles and superhero digital convergence. Publication Trends His recent articles (2020-2025) cluster around three themes: wearable tech ethics (e.g., forensic uses of Fitbit/GoPro data), streaming/platform infrastructures (e.g., Disney’s data reflexivity, Capitol Riot documentation), and surveillance politics (e.g., geofencing, CAD systems). Methodologically, he blends critical-cultural analysis with industry ethnography, often highlighting tensions between technological promise and social consequence. Awards and Honors Top Paper Award, Southern States Communication Association (2024) Outstanding Teaching Award, Clemson University (2022-2023) Outstanding Research Publication, Clemson University (2022) Ray Camp Research Award, Carolinas Communication Association (2018) Graduate Writing Prizes, Indiana University (2016) Advising and Service Dr. Gilmore mentors graduate/undergraduate researchers, co-authoring with 17+ students on topics like VR accessibility, mental health platforms, and AI negotiations. As Graduate Coordinator, he oversees program development and student progression. He serves as an expert source for media outlets (Wired, The Verge) on technology culture and maintains an active public scholarship profile.

• Media Technology Studies
• Datafication
• Wearable Technologies
• +4 more

Dr. İsmail ÖZTEL serves as an Assistant Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences. He has been a faculty member since 2019, following his tenure as a Research Assistant from 2012-2019 at the same institution. His educational background includes: Doctorate in Computer and Information Engineering (2014-2018) from Sakarya University with thesis on "Facial expression detection on partial and full face images using machine learning methods" Master's Degree in Computer and Information Engineering (2012-2014) from Sakarya University with thesis on "Driver simulator for educational purposes" Bachelor's Degree in Computer Engineering (2007-2011) from Sakarya University Dr. ÖZTEL's research focuses on artificial intelligence, deep learning, and computer vision with significant applications in healthcare, mobile technology, and public safety. His work has evolved from foundational facial expression recognition to sophisticated medical applications including skin disease classification using smartphones, monkeypox detection from skin lesions, and pandemic response systems for face mask detection. His research demonstrates strong interdisciplinary connections between computer science and healthcare. An analysis of his publication trends reveals a clear progression toward increasingly complex deep learning architectures applied to real-world problems, with recent work emphasizing medical applications using mobile technology and public health safety systems. His 2023-2025 publications show particular focus on skin disease classification, intelligent vehicle systems, and hybrid feature extraction methods for pandemic response. Dr. ÖZTEL has served as a reviewer for numerous prestigious journals including Expert Systems With Applications (multiple years), World Wide Web, Multimedia Tools and Applications, and Journal of King Saud University - Computer and Information Sciences, demonstrating his recognition in the academic community across multiple domains. His research projects include work on facial expression detection in open scientific databases (2020), performance evaluation of transfer learning approaches (2019), and current projects on brain tumor classification systems and earthquake safety education for individuals with developmental disabilities. His international research experience includes collaboration with Filiz Bunyak in 2017, indicating global engagement in his field.

• Artificial Intelligence
• Deep Learning
• Image Processing
• +3 more

Golan Levin is Professor of Electronic Art at Carnegie Mellon University's School of Art, with courtesy appointments in the School of Design, School of Architecture, School of Computer Science, and Entertainment Technology Center. From 2009 to 2022, he served as Director and Co-Director of CMU's Frank-Ratchye STUDIO for Creative Inquiry, a laboratory dedicated to supporting atypical, anti-disciplinary research at the intersection of arts, science, technology, and culture. Levin's research spans interactive art, digital fabrication, information visualization, and generative design. He explores the critical potential of visualization, generative computation for expressive form, and how abstraction connects to realities beyond language. His practice engages interactive gestural robotics, nonverbal interaction aesthetics, and tactical applications of personal digital fabrication through responsive artifacts and media provocations that highlight human-machine relationships. His publications reveal consistent innovation in real-time audiovisual systems, interactive fabrication interfaces, and pedagogic tools for artists. Key trends include slit-scan video techniques, tangible augmented-reality performance, and noise-based visualizations, demonstrating his commitment to expanding human action vocabulary through digital media while bridging artistic expression with computational systems. Levin's work has received significant recognition: Permanent collection inclusion at Museum of Modern Art (MoMA) Whitney Biennial exhibition "50 Designers Shaping the Future" by Fast Company (2012) Competitive grants from National Endowment for the Arts, National Endowment for the Humanities, Creative Capital, and Rockefeller MAP Fund As an educator, Levin teaches "studio courses in computer science" on interactive art, experimental capture, and generative design, emphasizing computation as a medium for critical inquiry. His research funding from major cultural institutions supports interdisciplinary exploration at the arts-technology nexus. The Frank-Ratchye STUDIO for Creative Inquiry, which he directed for 13 years, remains a vital hub for anti-disciplinary collaboration, continuing his legacy of fostering creative agency through technology-infused artistic practice.

• Interactive Art
• Digital Fabrication
• Information Visualization
• +4 more

Michael Wheeler is a Professor in Philosophy at the University of Stirling, focusing on cognitive science, phenomenology, and the philosophy of technology. His work bridges existentialist philosophy with modern AI ethics and embodied cognition. Key Research Themes: Extended mind, distributed cognition, and transparency in smart machines. Recent Projects: Explore the societal impact of AI, cognitive change in the arts, and the interplay between aging and cognition. Selected Articles (2024-2019): His publications span topics like creativity and contingency in the arts, transparency in AI, and the evolutionary psychology of reasoning. Notable Contributions: Advocates for integrating phenomenology into cognitive science and challenges representationalist frameworks in AI and robotics.

• Cognitive Science
• Philosophy of Mind
• Distributed Cognition
• +3 more

Yongjoo Park is an Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC), affiliated with the Grainger College of Engineering. He leads research in data-intensive AI systems as a member of the Data and Information Systems (DAIS) lab, focusing on novel data systems that bridge database theory and practical AI applications. His work emphasizes open-source contributions through GitHub and direct societal impact. Research interests center on systems for data-intensive AI , particularly efficient Retrieval-Augmented Generation (RAG) systems for exploratory AI, data science versioning, and in-storage computing. Key projects include Kishu (the world's first undoable Jupyter notebook with time-travel capabilities), CARE (a causal-relational system for structured/unstructured data), and AirDB/AirIndex (serverless transactions and automatic index optimization). His group develops tools enabling scalable, optimized AI workflows from storage layers to LLM inference. Recent publications reveal a strong focus on interactive data systems (85% of recent work), with significant contributions to notebook environments (Kishu), vector databases (ISCA'25), and RAG optimization. Awards highlight technical innovation, including SIGMOD 2025 Best Demo Award and NSF CAREER funding. His open-source philosophy drives GitHub releases of all major systems. SIGMOD 2025 Best Demo Award (Kishu) NSF CAREER Award (Novel data science systems) SIGMOD'23 Best Artifact Award Honorable Mention (DeepOLA) IBM-Illinois Project Selection (VectorDB/RAG) Mentorship spans 12 current PhD/MS students and 6 graduated advisees, including Supawit Chockchowwat (now Postdoc at Google, future Assistant Professor at CMKL University). He teaches advanced courses like CS511 (Advanced Data Management) and recruits 1-2 new PhD students annually, prioritizing data systems research. His lab emphasizes diversity, individual respect, and concrete outcomes in a collaborative workspace.

• Data Systems for AI
• Retrieval-Augmented Generation (RAG)
• Database Systems
• +4 more

Michael Z. Levy is a Professor of Epidemiology in the Department of Biostatistics and Epidemiology at the University of Pennsylvania Perelman School of Medicine. He co-directs the University of Pennsylvania/Universidad Peruana Cayetano Heredia Zoonotic Disease Research Laboratory in Arequipa, Peru, and holds secondary affiliations with the Center for Clinical Epidemiology and Biostatistics, Center for Public Health Initiatives, History and Sociology of Science, and Latin American and Latinx Studies. His research spans interdisciplinary domains including vector-borne diseases, computational biology, urban ecology, and social justice. Education: B.A. in Philosophy and Biology from Amherst College (1998), PhD in Population Biology, Ecology, and Evolution from Emory University (2007). Levy's work focuses on urban zoonotic diseases , particularly Chagas disease and canine rabies , integrating ecology, epidemiology, and computational methods. He investigates how insect vectors interact with social systems, housing policies, and climate change, extending to pandemic modeling during the Covid-19 crisis. His research group (28 members) collaborates with Peruvian Ministry of Health to control Chagas and rabies outbreaks in Arequipa. Notable contributions include novel geospatial surveillance models , behavioral economics applications for vector control, and bed bug epidemiology linking infestations to public health challenges. Recent publications highlight 2025-2024 trends in Chagas vector dynamics , zoonotic rabies control , vaccine strategies , and genomic outbreak analysis , emphasizing interdisciplinary approaches to urban disease ecology. He has participated in cluster randomized trials and behavioral design studies to improve community engagement in vector control campaigns in Peru, focusing on incentive mechanisms and surveillance equity . The Zoonotic Disease Research Lab in Arequipa employs interdisciplinary methods combining biological research , social science , and computational modeling to address urban disease transmission.

• Vector-Borne Diseases
• Urban Epidemiology
• Zoonotic Diseases
• +6 more

Mark Fehlberg is an Assistant Professor in the Department of Mechanical Engineering at the University of Utah, specializing in ergonomics, human factors, and robotics. He contributes to the Ergonomics and Safety program at RMCOEH through teaching and research. Research Focus: Ergonomic robotics (Active Handrest system) Human performance evaluation with robotic interfaces Biomechanics of movement and energy expenditure Publications & Expertise: His work spans robotic control systems, assistive technology, precision manipulation, and biomechanical measurement systems including foot incline analysis. Recent publications highlight innovations in virtual fixtures, adaptive admittance control, and energy-efficient robotic designs. Contact: Email: m.fehlberg@utah.edu

• Ergonomics
• Human Factors Engineering
• Robotics
• +5 more

Anna Levina is an Assistant Professor for Computational Neuroscience at the University of Tübingen , affiliated with the Department of Computer Science under the Faculty of Science. Her research focuses on the self-organization of neuronal activity, critical dynamics in neural networks, and the excitation/inhibition balance in cortical circuits. Current positions: Assistant Professor (since 2018), Group Leader (2017-2018), Equality Officer (Computer Science) Previous roles: IST Fellow (2015-2017), Associated Researcher (2011-2015), Postdoc/PI (2011-2015), Postdoc (2008-2011) Her research integrates mathematical modeling , statistical physics , and computational neuroscience to study criticality phenomena, neural avalanches, and adaptive network dynamics. Key interests include: Self-organized criticality in neural systems Excitation/Inhibition balance mechanisms Network topology and dynamics Timescale analysis in neural processing Stochastic modeling of neural activity Recent publications reveal trends in understanding critical dynamics across biological and artificial networks, with applications to memory systems, sensorimotor integration, and disease modeling. She has received recognition as an IST Fellow .

• Self-organized criticality
• Neuronal network dynamics
• Excitation/Inhibition balance
• +5 more

Faez Ahmed is an Associate Professor at the Department of Mechanical Engineering, Massachusetts Institute of Technology (MIT), where he serves as the Doherty Chair in Ocean Utilization. He leads the Design Computation and Digital Engineering (DeCoDE) Lab, focusing on integrating machine learning and optimization with engineering design to enhance human-AI collaboration and accelerate design processes. Ph.D., Mechanical Engineering, University of Maryland College Park (2019) B.Tech.-M.Tech., Mechanical Engineering, Indian Institute of Technology Kanpur (2012) His research interests include generative design methodologies, AI-driven optimization techniques, and the development of algorithms that facilitate collaboration between human designers and artificial intelligence systems. This interdisciplinary work spans applications in automotive design , ship hull synthesis , and wind turbine optimization , with a strong emphasis on creating open-source tools and datasets for the engineering community. Recent publications demonstrate his lab's leadership in fields such as 3D CAD generation , multimodal design datasets , and constraint-aware generative models . These works often address challenges in design space exploration , performance prediction , and data-driven design frameworks . Scientific Awards NSF CAREER Award (2025) ASME Young Investigator Award (2024) Google Research Scholar Award (2024) 3M Non-Tenured Faculty Award (2022) University of Maryland Alumni Research Award (2022) Faez Ahmed's lab has trained numerous Ph.D. candidates and postdoctoral researchers, fostering a collaborative research environment that bridges mechanical engineering , artificial intelligence , and computational methods . The DeCoDE Lab actively engages with industry partners and academic institutions, contributing to large-scale datasets and benchmarks that power the next generation of engineering design research.

• Generative design
• Machine learning and optimization for engineering design
• Human-AI collaboration
• +4 more

Gregory Crane is Professor of Classical Studies and Computer Science at Tufts University, where he holds the Winnick Family Chair in Technology and Entrepreneurship and serves as Chair of the Classical Studies Department. He also maintains a professorship in the School of Engineering's Computer Science department. Previously, he was Alexander von Humboldt Professor of Digital Humanities at Leipzig University in Germany from 2013-2019. PhD in Classical Philology, Harvard University (1985) BA in Classics, Harvard University (1979) Crane's research bridges traditional classical scholarship with digital technology. His work in classical studies focuses on ancient Greek authors, particularly Thucydides, with two major books published on the subject. Simultaneously, he has been a pioneer in digital humanities, beginning work on digital tools for classics as a graduate student in 1982. He is the Editor-in-Chief of the Perseus Project, which he has directed since 1985, developing morphological analysis systems and overseeing the project's evolution through multiple generations of digital library technology. His recent publications demonstrate a strong trend toward integrating artificial intelligence with classical language studies, developing next-generation digital libraries, and exploring new methods for engaging with classical texts in the digital age. Crane's work increasingly focuses on making ancient languages more accessible through technology, with research spanning digital philology, language learning tools, and corpus-based approaches to historical languages. Winnick Family Chair in Technology and Entrepreneurship Alexander von Humboldt Professor of Digital Humanities Crane has secured substantial research funding from major organizations including the National Endowment for the Humanities, the Andrew W. Mellon Foundation, the National Science Foundation, and Google. His current and recent projects include "Reinventing the study of ancient languages" and "Beyond Translation -- new possibilities for reading in a digital age." He has advised numerous students through senior honors theses and directed dissertation research in Classical Studies at Tufts University. Crane leads the Perseus Digital Library research program, which has evolved through multiple generations of technology to become a leading resource for classical studies. His work has established critical infrastructure for digital classics, including named entity identification systems and morphological analysis tools that have shaped the field of digital humanities.

• Greek & Latin Language
• Digital Humanities
• Classical Philology
• +3 more