جست‌وجوی استاد و پژوهشگر

Indratmoمشاهده پروفایل

دانشیار

• Information Visualization
• Human-Computer Interaction
• Social Computing
• +۳ مورد دیگر

Dr. Indratmo is an Associate Professor and Chair of the Department of Computer Science at MacEwan University. He holds a PhD from the University of Saskatchewan, an M.Sc. from the University of Manitoba, and a B.Eng. from Petra Christian University. His research focuses on information visualization, human-computer interaction, and social computing, with a particular emphasis on developing tools for analyzing social media data. He has contributed to projects like a visual analytical tool for sentiment analysis in Edmonton's traffic-related social media data and studies on multimedia content effectiveness in communication strategies. Indratmo teaches a range of computer science courses, emphasizing student engagement through transparent pedagogical practices. His work bridges technical innovation with social impact, aiming to enhance communication strategies for organizations through data-driven insights. He has published extensively in journals like Big Data Research and Visual Informatics , and his research spans topics from educational visualization tools to smart mirror applications and geospatial heritage systems. Outside academia, he enjoys outdoor activities in the Canadian Rockies. Notable collaborations include work on stacked bar chart efficacy, web-based course registration models, and exploratory browsing frameworks. His research portfolio demonstrates a commitment to both theoretical advancement and practical applications in computing.

Jingxian Wangمشاهده پروفایل

استادیار

• Artificial Intelligence
• Wireless Systems
• Satellite Networks
• +۹ مورد دیگر

Jingxian Wang is an NUS Presidential Young Professor and Assistant Professor in the Department of Computer Science at the National University of Singapore's Faculty of Computing. His research builds next-generation wireless systems and satellite networks, with primary focus on integrating AI with wirelessly networked devices from WiFi to satellites. He earned his PhD from Carnegie Mellon University and previously served as a research scientist at Microsoft Research in Redmond, where he led the Smart Surface for 6G and Space initiative. His educational journey includes: PhD, Carnegie Mellon University Wang's research spans Wireless Systems , Satellite Networks , Artificial Intelligence , and Internet of Things , emphasizing AI-augmented wireless systems. His interdisciplinary work bridges robotics , materials science , and AI to develop sustainable sensing methods, robust communication networks, and multimodal AI techniques. Key projects include Multimodal AI for IoT (funded by Microsoft's Accelerate Foundation Models Program) and Satellite IoT Networks. His publication trends reveal accelerating integration of AI into wireless systems, with recent focus on satellite networking, soft robotics actuation, and generative models for IoT. The research consistently targets real-world deployment challenges in battery-free systems and space networks. His scientific contributions have earned prestigious recognition: ACM SIGMOBILE Doctoral Dissertation Award 2023 Communications of the ACM Research Highlights (2021, 2022) ACM SIGMOBILE Research Highlights 2021 Best Paper Awards at IPSN 2021 and UbiComp 2020 Microsoft Research Fellowship 2020 Emerging Rockstar in IEEE Pervasive Computing 2024 Wang actively mentors doctoral students and postdoctoral researchers through his AIoT Group. His grant portfolio includes Microsoft's Accelerate Foundation Models Research Program funding for multimodal AI projects, with ongoing work targeting satellite IoT infrastructure and wireless-powered soft robotics. Future directions emphasize foundation models for space networks and battery-free IoT systems. He leads the AIoT Group, fostering cross-disciplinary collaboration between computer scientists, roboticists, and materials engineers to pioneer wireless sensing and actuation technologies.

Lynn Carol Millerمشاهده پروفایل

استاد

• Health Communication
• Virtual Environments
• Behavioral Neuroscience
• +۷ مورد دیگر

Lynn Carol Miller is a Professor of Communication at the University of Southern California’s Annenberg School for Communication and Journalism. Her research focuses on leveraging virtual environments, AI agents, and computational models to address health-related social behaviors, particularly in HIV/AIDS prevention and mental health. Funded by NIH, CDC, and DARPA (over $20M), her work integrates neuroscience, behavioral science, and technology. She pioneered interventions like SOLVE (Socially Optimized Learning in Virtual Environments) and Systematic Representative Design. Education: PhD in Personality Psychology from University of Texas at Austin. Key areas include health communication, gaming for behavior change, and computational modeling of social processes. She has supervised 17 doctoral students and collaborators across universities globally. Research emphasizes scalable interventions using fMRI-compatible tools and virtual reality. Notable contributions include reducing shame in HIV prevention games and analyzing neural correlates of risk-taking behaviors. Awards include the Early Career Award (2003) and ICA’s Outstanding Contribution to Communication Science (2020). Labs/Teams: Active in multidisciplinary teams at USC and collaborating institutions, focusing on virtual environment design, AI-driven interventions, and neurobehavioral studies. Current projects explore AI for public health and inclusive avatar representations in social VR.

Andrew Thomas Campbellمشاهده پروفایل

استاد

• Ubiquitous Computing
• Machine Learning
• Human-Computer Interaction
• +۳ مورد دیگر

Andrew Thomas Campbell is a Professor and Albert Bradley 1915 Third Century Professor in the Department of Computer Science at Dartmouth College. His research focuses on ubiquitous computing, machine learning, and mental health, particularly using mobile and wearable sensors to assess and manage mental illnesses. He leads the StudentLife project, which tracks college students' mental health over four years, and co-directs the HealthX Lab. Campbell's work has received prestigious awards, including the ACM UbiComp 10-Year Impact Award for pioneering mobile sensing in mental health. He previously held tenure as an Associate Professor at Columbia University and has industry experience at Google and Verily. His research spans $42M in grants from NIH, NSF, and corporate partners, emphasizing technology-driven solutions for mental health challenges. Education: B.Sc. from Aston University, M.Sc. from City University, Ph.D. from Lancaster University. He teaches CS 1 Introduction to Programming and mentors numerous students. Awards include the Dean of the Faculty Award for Mentoring (2025) and multiple ACM Test of Time Awards. His lab collaborations involve跨学科 teams addressing mental health through AI and sensing technologies.

Sarah Masud Preumمشاهده پروفایل

استادیار

• Human-AI Interaction
• Natural Language Processing
• Applied Machine Learning
• +۴ مورد دیگر

Sarah Masud Preum is an Assistant Professor of Computer Science at Dartmouth College, with adjunct roles in the Department of Biomedical Data Science at Geisel School of Medicine and as Faculty Affiliate at the Center for Technology and Behavioral Health (CTBH). She also serves as Technical Associate Director of the Dartmouth Center for Precision Health and Artificial Intelligence. Her work focuses on machine learning for computational health, including natural language processing, temporal modeling, and human-AI interaction to develop personalized decision support systems in healthcare. Education includes a B.Sc. from Bangladesh University of Engineering and Technology, followed by M.Sc. and Ph.D. degrees from the University of Virginia. Previously, she was a postdoctoral research scholar at Carnegie Mellon University's School of Computer Science, recognized as a Rising Stars in EECS (2020) for her academic excellence and contributions to equity in STEM. Her research interests span Human-AI Interaction, Natural Language Processing, Mobile Health, and Cyber-Physical Systems. Over 2020–2023, her publications emphasize AI-driven solutions for healthcare challenges like conflict detection in health information and cognitive assistants for emergency response. Earlier work includes behavioral prediction models (MAPer) and spatial database optimizations (Maximum Visibility Queries). Awards: Rising Stars in EECS (2020) In teaching, she offers courses like Transforming Healthcare through Machine Learning and Machine Learning and Statistical Data Analysis. Her affiliations with multidisciplinary centers reflect her commitment to bridging technology and healthcare.

Natalie Riddellمشاهده پروفایل

مدرس ارشد

• Immunology
• Ageing
• Immunosenescence
• +۵ مورد دیگر

Dr. Natalie Riddell is a Senior Lecturer in Immunology and Ageing at the School of Biosciences, University of Surrey. She holds roles as Academic Lead for the FACS facility, Member of the University Ethics Committee, and Chair of the Surrey Healthy Ageing Research Partnership (SHARP). Her research focuses on neuroendocrine and age-associated changes in immune function, particularly how adrenergic signaling contributes to immunosenescence and inflammation in aging. Key areas include T cell senescence, metabolic disorders linked to immune decline, and interventions to promote healthy longevity. Education: BSc and PhD in Biosciences from the University of Birmingham, followed by postdoctoral research at University College London (2010-2017). Research interests emphasize the interplay between stress, aging, and immunity. Collaborations include work with Dr. Sian Henson (Queen Mary University) on T cell metabolism and Dr. Anis Larbi (Singapore Immunology Network) on immunosenescence biomarkers. She supervises BSc, MSc, and PhD students, including current advisees Dennis Affram and Chidie Ubachukwu. Teaching includes undergraduate modules like BMS1052: Exploring Biochemistry and BMS3102: Advanced Topics in Molecular and Cellular Immunology. Her 15 most recent articles span immunology, virology, and chronic disease, with notable work on tuberculosis diagnostics and stress-HIV interactions. Labs/Teams: Active leadership in SHARP, a multidisciplinary partnership addressing healthy aging through immunity research.

Bart Bonikowskiمشاهده پروفایل

دانشیار

• Politics
• Culture
• Nationalism
• +۶ مورد دیگر

Bart Bonikowski is an Associate Professor of Sociology and Politics at New York University, serving as Director of Graduate Studies in the Department of Sociology. He is affiliated with NYU’s Center for Data Science and leads initiatives such as the Political Polarization and Radicalization Working Group at the Institute for Public Knowledge. His research integrates cultural sociology with computational methods to study nationalism, populism, and automation’s political impacts in the U.S. and Europe. Education: Ph.D., Sociology, Princeton University (2011) M.A., Sociology, Princeton University (2008) M.A., Sociology, Duke University (2005) B.A., Sociology, Queen’s University (Canada, 2003) Research Interests: Bonikowski’s work focuses on nationalism, populism, radical-right politics, and the sociopolitical implications of technological change. He employs relational surveys, experiments, and computational text analysis to explore topics like AI-driven job displacement, anti-immigrant attitudes, and ideological polarization. Recent research bridges AI governance with globalization studies. Articles Trends: His 2020s publications emphasize automation’s electoral consequences, AI policy dynamics, and the intersection of geopolitics with anti-immigrant sentiment. Earlier work established frameworks for measuring populism and nationalism in political discourse. Awards: 2023–present: Fellow, Canadian Institute for Advanced Research’s Boundaries, Membership, and Belonging Program Advising & Grants: While specific student advisees are not listed, Bonikowski directs NYU’s Sociology graduate program and collaborates on projects funded by research initiatives like CIFAR. He edits Sociological Science and contributes to editorial boards of top journals. Labs/Teams: Co-organizes NYU’s Identities & Ideologies Project and participates in the Sociology of Culture Workshop. His working groups at the Institute for Public Knowledge address radicalization and polarization.

Eugene Vinitskyمشاهده پروفایل

استادیار

• Reinforcement Learning
• Multi-agent Learning
• Autonomous Vehicles
• +۲ مورد دیگر

Eugene Vinitsky is an Assistant Professor at NYU Tandon School of Engineering, holding joint appointments in Civil and Urban Engineering and Computer Science. His research develops multi-agent reinforcement learning systems for autonomous vehicles and traffic control, with applications in robotics and intelligent infrastructure. He directs the Computational Transportation Systems Lab and leads projects like CIRCLES on congestion reduction. Research Focus: Designs algorithms enabling complex behaviors through unsupervised agent interactions, human-AI compatibility, and environment synthesis for autonomous systems. Awards & Leadership: NSF Graduate Fellow (2016), Eisenhower Fellow (2018, 2020), and PI on multiple grants including Amazon Research Awards. Mentored 14+ graduate students and organized international RL conferences.

Michael Wrightمشاهده پروفایل

مدرس ارشد

• Haptic Feedback
• Educational Technology
• User Interaction Design
• +۴ مورد دیگر

Michael Wright is a Senior Lecturer in the Department of Computer Science at the University of Bath. His research focuses on haptic feedback systems, educational technology, and user interaction design. He is affiliated with the Institute of Coding and has collaborated on projects involving mid-air haptics, wearable technology, and inquiry-based learning environments. His work spans interdisciplinary areas such as thermal technology for social interaction (e.g., WarmConnect), perceptual studies in haptics, and educational platforms like nQuire. Recent projects emphasize the integration of visual and tactile feedback systems to enhance user experiences. Wright's publications highlight trends in mid-air haptics research, exploring thresholds of tactile perception and multimodal feedback systems. His educational research addresses challenges in professional development through degree apprenticeships and online learning. He has supervised a doctoral thesis on gesture recognition and contributed to projects like 'Day of the Figurines,' a narrative-driven mobile game. His work bridges computational methods with human-centered design principles.

Konstadinos Gouliasمشاهده پروفایل

استاد

• Transportation Planning
• GIScience
• Activity-Based Modeling
• +۵ مورد دیگر

Konstadinos (Kostas) Goulias is a Professor of Transportation in the Department of Geography at the University of California, Santa Barbara (UCSB), where he has served since 2004. Previously, he held academic positions at Penn State University from 1991 to 2004, including roles as Associate and Full Professor of Transportation Engineering. His research focuses on transportation systems planning, travel behavior dynamics, activity-based modeling, GIScience, and spatial analysis of transportation data. **Education**: Ph.D. in Civil Engineering (Transportation), University of California, Davis, 1991 M.S. in Civil Engineering, University of Michigan, Ann Arbor, 1987 Laurea Magistrale in Engineering, University of Calabria, Italy, 1986 **Research Interests**: Transportation demand modeling and microsimulation Activity-travel behavior analysis Spatiotemporal analysis of mobility using big data GIScience applications in transportation Policy implications of emerging technologies (e.g., autonomous vehicles) **Key Contributions**: Co-founder and Editor-in-Chief of Transportation Letters Principal Investigator of $6.5M in research projects Authored/edited three books and over 350 peer-reviewed publications Led the development of the SimAGENT microsimulation framework Directed the GeoTrans Laboratory at UCSB since 2007 **Awards**: Pyke Johnson Award (2021, 2016) Best Paper Award (2021) Chair of TRB committees on traveler behavior and activity-based approaches **Grants/Students**: Supervised multiple graduate students in transportation and geography Managed projects with sponsors including USDOT, state agencies, and international organizations **Labs/Teams**: GeoTrans Laboratory: Focused on smart city planning and transportation innovation Collaborations with institutions globally, including Australia, Europe, and Qatar

Anna-Karin Tornbergمشاهده پروفایل

استاد

• Numerical Analysis
• Fluid Dynamics
• Boundary Integral Methods
• +۳ مورد دیگر

Anna-Karin Tornberg is a Professor in Numerical Analysis at the Department of Mathematics, KTH Royal Institute of Technology. She holds positions as Vice Chair of the Department of Mathematics and previously served as Head of the Numerical Analysis division (2011–2023). Her research focuses on numerical methods for PDEs, particularly boundary integral methods for fluid flows involving particles and drops. She is active in the Linne FLOW Centre and Swedish e-Science Research Center (SeRC). Key roles include membership in the Royal Swedish Academy of Engineering Sciences (IVA), Royal Academy of Sciences, and receipt of awards like the Göran Gustafsson Prize (Mathematics, 2014). She has advised numerous PhD students and postdocs, including current supervisees Anna Broms, David Krantz, and Emanuel Ström. Her work spans theoretical, computational, and applied fluid dynamics with emphasis on microfluidics and high-accuracy numerical techniques. Education includes a PhD in Numerical Analysis from KTH (2000) followed by postdoctoral positions at NYU’s Courant Institute. Promoted to Full Professor at KTH in 2012. Service roles include membership in KTH’s University Board, Faculty Council, and editorial roles at Advances in Computational Mathematics and BIT Numerical Mathematics . Active in international conferences, delivering plenary/invited lectures at ICIAM, ECM, and ICM. Research group projects include development of fast numerical methods for microfluidics and molecular dynamics simulations. Current openings for PhD candidates in numerical methods for non-elliptic PDEs in time-dependent domains. Her lab collaborates on high-performance computing and fluid-structure interaction problems.

Cagdas Onalمشاهده پروفایل

دانشیار

• Soft Robotics
• Printable Robotics
• Bio-inspiration
• +۳ مورد دیگر

Cagdas Onal is an Associate Professor of Robotics Engineering at Worcester Polytechnic Institute (WPI). He holds a BS and MS from Sabanci University (2003, 2005) and a PhD in Robotics from Carnegie Mellon University (2009). His research focuses on soft robotics, bio-inspired systems, and control theory , emphasizing the development of flexible robotic components for healthcare, industry, and sustainable applications. He leads the Soft Robotics Lab and the Future of Robots in the Workplace (FORW-RD) initiative, advancing human-centric robotics solutions. Research interests include designing bio-inspired soft robots (e.g., origami-inspired snake robots), developing modular actuation systems with embedded sensors, and exploring applications in medical devices and assistive technology. His work aligns with UN Sustainable Development Goals, particularly in healthcare access (SDG 3), quality education (SDG 4), and innovation (SDG 9). Recent projects include origami-based robotic arms for wheelchair users , self-contained underwater robots, and haptic interfaces for teleoperation. His lab collaborates on国家级 grants like the NSF-funded NRT Program and has secured patents for actuator designs (e.g., Hydro Muscle). Labs/Teams: Soft Robotics Lab, FORW-RD, NRT Program. Notable media coverage includes Worcester Telegram & Gazette and Spectrum News for innovations in human-friendly robotics.

• Fintech
• Digital platforms and ecosystems
• Chinese IT management
• +۵ مورد دیگر

Evelyn Ng is a Lecturer at the Business School of The University of Sydney , where she teaches courses such as INFS1000 Digital Business Innovation and INFS6004 Digital Business Transformation . She holds a PhD and a Master of Management from the University of Sydney, along with a Bachelor of Commerce , and is a CPA affiliate. Research Interests : Evelyn’s work focuses on Fintech , Digital platforms and ecosystems , Chinese IT management , Qualitative IS research , and IT-enabled social innovation , with recent studies exploring social media’s role in digital guanxi development, ethical challenges in real-time volunteer apps, and competitive strategies for Fintech platforms. Key Themes : Her publications since 2017 highlight trends in platform ecosystems , sharing economy dynamics , digital transformation , and social justice in technology . Recent Work (2024): Investigated the virality of IoT platforms , integrated superapp development , and BNPL platforms ’ impact on consumer behavior. Scientific Awards : Recognized for excellence in teaching and tutoring through multiple Dean’s Citations and Feedback for Teaching (FFT) Student Survey Awards at the University of Sydney Business School (2015–2021). Grants and Supervision : Supervised honours student Andrew Andrew (2023), and currently advises PhD candidates Dongdi CHEN (Ambidexterity in Digital Platforms) and Essie HONG (Digital Transformation). She is involved in the 2023 Early Career Research Scheme grant on digital transformation strategies in China.

Shiny Vergheseمشاهده پروفایل

مدرس

• Human-Computer Interaction
• Online Psychometrics
• Machine Learning Applications
• +۳ مورد دیگر

Shiny Verghese is a Lecturer in Computer Science at Teeside University, affiliated with the Faculty of Computing, Engineering and Science and the Computing, Cybersecurity, Mathematics and Informatics Research and Innovation Group. She holds a PhD in Human-Computer Interaction from Teeside University (2019), focusing on design parameters for online psychometrics. Her research spans human-computer interaction, online questionnaire design, and posture monitoring using machine learning. She leads the 2023-2028 project "A Smart Sensing System for Continuous Sitting Posture Recognition and Monitoring using Machine Learning and a Mobile App" , funded in part by the Kuwait Foundation of Advancement of Sciences. Teaching focuses include programming languages, object-oriented concepts, algorithms, and event-driven programming. Her work bridges HCI with educational technology, emphasizing innovative pedagogy and creative problem-solving. Recent collaboration on posture monitoring systems demonstrates expertise in sensor technology and health informatics. Key contributions include a novel online research tool for psychometric questionnaires and a comprehensive review in Sensors (2024) on smart posture monitoring systems. She collaborates with researchers like Prof. Kulon and Dr. Odesola, advancing applications of machine learning in health and education.

Panagiotis Andriotisمشاهده پروفایل

مدرس

• Cyber Security
• Human Factors in Security
• Mobile and Ubiquitous Computing
• +۷ مورد دیگر

Dr. Panagiotis Andriotis is a Lecturer in Computer Science at the School of Computer Science, University of Birmingham, within the College of Engineering and Physical Sciences. He is also a GIAC Certified Forensic Examiner (GCFE, GASF) and a Senior Fellow of the Higher Education Academy (SFHEA). His interdisciplinary research spans Cyber Security, Human Factors, and Mobile and Ubiquitous Computing. He teaches courses in Computer Science, Cyber Security, and Digital Forensics. His educational background includes a PhD in Computer Science from the University of Bristol (2016), an MSc with Distinction in Computer Science from the same institution (2011), and a BSc in Mathematics from the National and Kapodistrian University of Athens (2004). Dr. Andriotis’s research interests focus on user-centered security, particularly in mobile environments. He investigates how users interact with Android’s permission systems, develops novel authentication mechanisms like Bu-Dash, and explores adversarial machine learning in cybersecurity. His work bridges technical and human aspects, aiming to improve both system robustness and user experience. His recent publications reflect a strong trend in adversarial machine learning, mobile malware detection, usable privacy, and the societal implications of AI in education. He has contributed to high-impact journals such as IEEE Transactions on Cybernetics, ACM Transactions on Privacy and Security, and Elsevier’s Journal of Information Security and Applications. Best Paper Award at HCI International 2020 Impact Award, UWE Bristol Student Union GIAC Certified Forensic Examiner (GCFE) GIAC Advanced Smartphone Forensics (GASF) SANS Lethal Forensicator Coin Dr. Andriotis has advised PhD students, including Andrew McCarthy, and has been involved in funded research projects such as those related to fuzzing, software security, and critical infrastructure protection in collaboration with Airbus. He has served as an External Examiner at Cardiff Metropolitan University and is currently on the editorial boards of Digital Threats: Research and Practice (ACM) and the Journal of Responsible Technology (Elsevier). He has held visiting roles at the National Institute of Informatics in Tokyo, including as a JSPS Fellow and Toshiba Fellow. He leads research in digital forensics and security, with a lab focus on mobile ecosystems, behavioral modeling, and AI-driven threat detection. His team explores both technical and human dimensions of cybersecurity, contributing to tools and frameworks that enhance mobile security and user awareness.