جست‌وجوی استاد و پژوهشگر

Fabrice Le Guelمشاهده پروفایل

استاد

• Digital Economics
• Privacy Economics
• AI Economics
• +۳ مورد دیگر

Fabrice Le Guel is a Full Professor of Economics and researcher at the University of Paris-Saclay, affiliated with the RITM Research Center. He serves as Director of the Master 2 'IREN' (Network Industries and Digital Economy) and leads interdisciplinary research groups across law, economics, management, and computer science. His research focuses on digital economics, privacy economics, AI ethics, and computational economics. He has overseen numerous research contracts and contributed to high-impact publications in economics and technology fields. Teaching includes courses at L1/L3/M1/M2 levels on Privacy Economics, Digital Economics, Computational Economics, and Industrial Economics. He has secured grants such as ANR DAPCODS (2017–2021), HUMAAINE Chair (2021–2025), and multiple CNRS-funded projects. His work spans topics including algorithmic bias, digital market governance, and sustainable consumption. Professional service roles include Co-Director of RITM Research Center, membership in the DATAIA Institute’s program committee, and refereeing for journals like Technological Forecasting & Social Change and IEEE Internet of Things Journal . His interdisciplinary approach bridges economic theory with digital technology challenges.

• Artificial Intelligence
• Biomedical Signal Processing
• Sleep Research
• +۴ مورد دیگر

Maarten De Vos is a Professor at the Department of Electrical Engineering (ESAT) , KU Leuven , with dual appointments in the Faculty of Medicine and Faculty of Engineering Science . He leads interdisciplinary research at the intersection of artificial intelligence and biomedical signal processing.

Kate Palmer Albersمشاهده پروفایل

دانشیار

• Contemporary Art and Visual Culture
• Visual Experience of Social Media
• Visual Activism
• +۶ مورد دیگر

Kate Palmer Albers serves as Associate Professor of Art History in the Department of Art & Visual Studies at Whittier College, where she teaches courses on photography history, visual culture, new media, and contemporary art. Her academic work centers on the dynamic relationship between emerging technologies and visual representation within networked societies. Her educational foundation includes a B.A. from Colorado College, M.A. from the University of California, Riverside, and Ph.D. from Boston University. Professor Albers' research investigates contemporary visual culture through multiple interconnected lenses: the ephemerality of digital photography, visual activism in social media ecosystems, gender and racial representation in institutional spaces, and the politics of public monuments. She examines how algorithmic systems reshape personal archives, collective memory, and artistic practice while maintaining critical focus on accessibility and equity in cultural representation. Her scholarship bridges historical photographic practices with cutting-edge digital phenomena including multi-gigapixel imaging, virtual reality, and data visualization. Her recent publications reveal consistent thematic threads exploring photography's transformation in the digital age, particularly how networked technologies create new forms of visibility and erasure. These works examine algorithmic vision systems, archival preservation challenges, and the circulation of images across physical and digital realms, often highlighting tensions between democratic access and technological control. Her notable recognition includes: Arts Writers Grant (2015) from Creative Capital/Warhol Foundation supporting her digital project Circulation/Exchange: Moving Images in Contemporary Art Professor Albers actively mentors students through course instruction while developing innovative public scholarship. Her current research portfolio includes a fictional adaptation of The Night Albums , analytical essays on challenging image circulation, and pioneering work documenting transgender representations in photographic history. She maintains active engagement with digital humanities methodologies and public-facing academic writing.

• Cartography
• Geospatial Analysis
• Urban Planning
• +۴ مورد دیگر

Prof. Liqiu Meng serves as Chair of Cartography and Visual Analytics at the Technical University of Munich (TUM). He specializes in advanced geospatial research, digital cartography, and human-technology collaboration frameworks. Current Faculty at TUM Chair of Cartography and Visual Analytics Research Focus: His work bridges cartographic theory with cutting-edge technology, covering topics like 3D urban modeling, AI ethics visualization, geovisual analytics, and spatiotemporal data interpretation. Urban Morphology Analysis AI Ethics Cartography Geovisual Analytics 3D City Data Integration Location-Based Service Design Publications: Recent works (2025-2024) demonstrate expertise in explainable AI for urban analysis, multi-agent systems for geospatial interaction, and advanced spatial modeling techniques. Contact: liqiu.meng@tum.de | contact.lfk@ed.tum.de

Arman Khoshghalbمشاهده پروفایل

مدرس ارشد

• Numerical Modelling
• Multi-phase Porous Media
• Unsaturated Soils
• +۳ مورد دیگر

Dr. Arman Khoshghalb is a Senior Lecturer in Geotechnical Engineering at the School of Civil and Environmental Engineering, UNSW Sydney, where he has been a faculty member since 2012. His academic credentials include a PhD in Geotechnical Engineering from UNSW (2012), an MSc from Sharif University of Technology (2005), and a BSc in Civil Engineering from the same institution (2003). His research focuses on numerical modeling of multi-phase porous media , with emphasis on unsaturated soils, large deformation analysis, and dynamic soil behavior. Key areas include meshfree computational methods, soil-structure interaction, bio-cementation, and thermo-hydro-mechanical processes in geotechnical systems. His work bridges theoretical advancements with practical applications in slope stability, foundation engineering, and sustainable ground improvement. Dr. Khoshghalb's publications predominantly explore geomechanical modeling, experimental soil mechanics, and computational techniques. Recent trends highlight innovations in bio-cemented soils, thermal properties of unsaturated soils, and adaptive numerical methods for complex geotechnical simulations. Awards & Honors: IACMAG Excellent Paper Award (2017) UNSW Research Excellence Award (2012) Advising & Grants: He has supervised 7+ PhD students on topics ranging from weak rock mechanics to computational geomechanics. Funded projects include: ARC Discovery Project (2019–2021): "Non-isothermal dynamic strain localisation in unsaturated porous media" ($298,257) ARC Linkage Infrastructure Grant (2015): "Earthquake shaking table for soil-structure interactions" ($320,000) ARC Linkage Project (2014–2017): "Constitutive modelling of weak rocks" ($314,280) He leads research within UNSW's geotechnical engineering group, collaborating on large-scale experimental testing and computational frameworks for infrastructure resilience.

Rachel Devorah Wood Romeمشاهده پروفایل

استادیار

• Electronic Music
• Creative Coding
• Live Coding
• +۱۲ مورد دیگر

Rachel Devorah Wood Rome is an Assistant Professor in the Electronic Production and Design (EPD) department at Berklee College of Music, where she teaches creative coding, live coding, and music technology. Her work bridges electronic music, improvisation, and critical theory, with a focus on sonic cyberfeminism, archival practices, and the social meanings of sound and space. Ph.D. in Music Composition and Computer Technologies, University of Virginia (2018) M.L.I.S., San José State University (2017) M.A. in Music Composition, Mills College (2013) B.Mus. in Horn Performance, CUNY Queens College (2007) Her research explores superhuman prolongation, opaque complexity, and the re-signification of archaic tools in sonic media. She values machines for their patience and memory, and her creative practice emphasizes critical agency in technology design and use. She performs under the name 'mehetabel' when using archival materials in improvised electronic music. The most recent publications and performances reflect a deep engagement with AI and music, live coding, feminist media theory, and spatialized sound. Her works often involve real-time data processing, generative systems, and collaborative improvisation, situating sound within broader social, political, and technological contexts. Ruth Anderson Installation Prize (IAWM) New Music USA Grant Fellowships from MIT OpenDocLab, Adrian Piper Foundation, Ina GRM, New Museum, and Jefferson Scholars Foundation Residencies at EMS Stockholm, STEIM Amsterdam, MassMoCA, and Cove Park Rome advises emerging artists in electronic music and creative coding, many of whom have gone on to establish their own practices. She is also active in academic service, including curriculum development, faculty governance, and labor organizing as a Councilor for the Berklee Faculty Union. She leads initiatives in DEI, sound design, and coding pedagogy within the EPD department. She has been involved in interdisciplinary collaborations with artists, technologists, and institutions worldwide, presenting work in galleries, festivals, and academic conferences across North America, Europe, and Asia. Her leadership extends to nonprofit arts organizations, where she has served as Executive Director and grantwriter.

Brenton Faberمشاهده پروفایل

استاد

• Healthcare Delivery Systems
• Medical Communication
• Pre-Hospital Care
• +۳ مورد دیگر

Brenton Faber is a Humanities & Arts Professor affiliated with the Department of Biomedical Engineering at Worcester Polytechnic Institute (WPI) . He holds a B.A. in Political Science & English from the University of Waterloo (1992), an M.A. in English from Simon Fraser University (1993), and a Ph.D. in English from the University of Utah (1998). His research focuses on healthcare delivery for uninsured populations, medical writing, and the application of allostasis theory to healthcare systems. He volunteers as a practicing paramedic with rural ambulance squads and urban clinics. Education: B.A. (University of Waterloo), M.A. (Simon Fraser), Ph.D. (University of Utah) Faber’s lab investigates human factors in medical diagnosis and patient care, emphasizing pre-hospital care and clinical report analysis. His work integrates allostasis concepts to address chronic health conditions and patient decision-making. Current projects include a free urban clinic’s electronic database initiative and a 'food is medicine' program targeting hypertension/diabetes patients. He advises an undergraduate research team and co-founded the 'Medical Mystery' series in WPI’s student newspaper. His recent publications span healthcare logistics, emergency medicine, and discourse analysis. Notable works include The End of Genre (2022) and studies on community paramedicine optimization (2023). While no formal awards are listed, his contributions to medical communication and patient advocacy are central to his scholarly identity. Advising focuses on interdisciplinary teams addressing public health challenges. Collaborative grants are not explicitly mentioned, but his work with free clinics and paramedic squads highlights community-oriented engagement. His lab’s activities emphasize translational research bridging humanities and biomedical engineering disciplines.

Jonas Schorlemerمشاهده پروفایل

پژوهشگر

• Radar Systems
• AI-Based Signal Processing
• Ground Penetrating Radar
• +۳ مورد دیگر

Jonas Schorlemer is a Researcher at the Department of High Frequency Systems within the Faculty of Electrical Engineering and Information Technology at Ruhr University Bochum. His work focuses on radar systems, AI integration in sensor technologies, and applications in humanitarian demining. He collaborates with Prof. Dr.-Ing. Ilona Rolfes and contributes to projects like KI-ROJAL and Terahertz-NRW. His research emphasizes radar echo simulation, GPR-based localization, and SAR algorithm development. Research interests include radar-based particle tracking, sensor fusion in indoor environments, and electromagnetic localization in granular materials. Recent work highlights AI-driven approaches for improving training data generation and scenario augmentation in demining applications. Publications span high-impact journals like Sensors and conferences such as IEEE MTT-S and ICEAA. He actively participates in academic events including the Faculty Colloquium and international workshops. He maintains a lab website at www.etit.ruhr-uni-bochum.de/hfs/ and holds an ORCID ID for scholarly tracking.

• Artificial Intelligence
• Computer Vision
• Machine Learning
• +۹ مورد دیگر

Associate Professor Vic Ciesielski is affiliated with RMIT University's School of Computing Technologies. His research focuses on Artificial Intelligence, Evolutionary Computing, Computer Vision, and Genetic Programming, with applications in areas like robot soccer and aesthetic analysis of images. He has supervised projects including efficient neural architecture search and off-line handwritten text recognition. His work bridges computational techniques with creative fields such as art history and digital media. Key research interests include machine learning, data management, and graphics/augmented reality. He actively contributes to conferences like GECCO and IJCNN, publishing on topics ranging from neural architecture optimization to sensor-based activity recognition. His research often integrates evolutionary algorithms with deep learning methodologies. He can be contacted via vic.ciesielski@rmit.edu.au and has an ORCID identifier: 0000-0001-7273-9566 .

Robert J.K. Jacobمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Brain-Computer Interfaces (BCI)
• User Interface Design
• +۵ مورد دیگر

Robert J.K. Jacob is a Professor of Computer Science at Tufts University, affiliated with the School of Engineering's Department of Computer Science. His research focuses on Human-Computer Interaction (HCI), particularly implicit brain-computer interfaces (BCI) using fNIRS and EEG technologies. He has held visiting positions at University College London, Université Paris-Sud, and MIT Media Lab. Education: Ph.D. in Computer Science from Johns Hopkins University. Research Interests : Jacob's work explores novel interaction techniques, adaptive interfaces, and BCI applications. Current projects emphasize real-time fNIRS-based systems for effortless user input, cognitive workload assessment, and neuroadaptive technologies. His lab investigates how brain signals can enhance user interfaces in domains like music learning, gaming, and urban design. Recent Trends in Articles : Recent publications highlight advancements in BCI design, neuroadaptive systems, and interdisciplinary applications of fNIRS. Work spans theoretical frameworks (e.g., NeuroCHI ethics) to practical tools like the Tufts fNIRS dataset. Key themes include improving BCI calibration, exploring AI's role in urban environments, and integrating affective computing into artistic interfaces. Awards : ACM Fellow (2016) ACM CHI Academy Membership (2007) Best Paper Award at CHI 2016 Advising & Grants : Supervised 15+ Ph.D. alumni in HCI and BCI. Served as Vice-President of ACM SIGCHI and co-chair of UIST/CHI conferences. Active in editorial roles for Human-Computer Interaction and ACM Transactions on Computer-Human Interaction . Labs & Teams : Directs the Tufts HCI Lab in the Joyce Cummings Center. Collaborates with interdisciplinary teams on projects like the Marble Track Audio Manipulator and Reality-Based Interaction Framework.

• Multimedia Systems
• Computer Science
• Data Management
• +۳ مورد دیگر

Wolfgang Klas is a Professor at the Faculty of Computer Science, leading the Research Group Multimedia Information Systems. His research focuses on multimedia systems, data management, and information retrieval, with significant contributions to multimedia content analysis and database systems. He has been actively involved in multiple research projects, including TP2 PRECIOUS (2013-2016), SciLink (2011-2014), and OptFI (2010-2013). His work intersects with emerging technologies like blockchain, as seen in his public engagements and talks on topics such as 'From Blockchain to Web' and IT4S Forum presentations. His research interests span multimedia systems, database design, and the application of declarative programming for security and data integrity. Recent projects emphasize fake review detection and sentiment analysis using advanced algorithms and neural models. He has collaborated internationally, contributing to workshops like SMAP 2020 and publishing in journals like Algorithms and Applied Sciences . Grants/Projects: TP2 PRECIOUS (2013-2016), SciLink (2011-2014), OptFI (2010-2013) Activities: Speaker at IT4S Forum (2024), Blockchain-related talks (2020–present) Labs/Teams: Research Group Multimedia Information Systems

• Compassion at work
• Mindfulness at work
• Organisational justice
• +۷ مورد دیگر

Samantha Su-Hsien Sim is an Assistant Professor at Nova School of Business and Economics (NOVA SBE) in Portugal, where she teaches Organisational Behaviour and Human Resource-related courses. She is affiliated with the Leadership for Impact Centre at Nova SBE and the Mindfulness Initiative at Singapore Management University, and serves as a faculty adviser for the student-led Nova Mindfulness Club. Doctorate in Business, Singapore Management University Bachelor in Social Science, Singapore Management University Master in Social Science, Tilburg University Her research centers on compassion and mindfulness in the workplace, organisational justice, and cross-cultural differences. She investigates how compassion influences workplace behavior and leadership, and how mindfulness affects cooperation and negotiation outcomes. Her work bridges organizational psychology and management, with implications for employee well-being, ethical leadership, and inclusive organizational cultures. Her recent publications explore mindfulness-based training, corporate well-being programs, and algorithmic fairness in employment. The research spans topics like psychological well-being, negotiation dynamics, and public policy, showing a strong interdisciplinary focus on human-centered organizational practices. Published in top journals including Journal of Applied Psychology , Academy of Management Journal , and Organizational Behavior and Human Decision Processes She advises student research through the Nova Mindfulness Club and contributes to research grants related to leadership, mindfulness, and organizational justice. Her collaborative network includes scholars from Singapore, Europe, and North America, reflecting her cross-cultural research orientation. She is active in research centers focused on leadership impact and mindfulness, contributing to both academic and practical applications in organizational settings.

Brian Uzziمشاهده پروفایل

استاد

• Social Networks
• Complexity Theory
• Embeddedness
• +۵ مورد دیگر

Brian Uzzi holds the Richard L. Thomas Professorship of Leadership and Organizational Change at Northwestern University's Kellogg School of Management. He serves as Co-Director of the Northwestern Institute on Complex Systems (NICO) and The Ryan Institute on Complexity (RIC), with additional appointments in Sociology at Weinberg College of Arts and Sciences and Industrial Engineering and Management Sciences at McCormick School of Engineering. His educational background includes a PhD in Sociology (1994) from State University of New York, Stony Brook, an MS in Organizational Psychology (1989) from Carnegie Mellon University, and a BA in Business Economics (1982) from Hofstra University. Prior to academia, he worked as a carpenter and musician. Research Focus: Dr. Uzzi's work centers on social networks, complexity theory, and the concept of embeddedness—the idea that individuals and organizations operate within social networks that significantly influence their achievements, economic activity, and creative output. His research examines how AI facilitates mind-machine partnerships and how network structures affect scientific collaboration, innovation, and leadership. His work spans sociology, management science, computer science, and ecology, with practical applications in business and government. His recent publications reveal a strong focus on the science of science, exploring topics like innovation abandonment, social media's role in political violence, promotional language in scientific grants, and gender diversity's impact on scientific creativity. The research consistently applies network science to understand patterns of human achievement and organizational performance. Euler Award recipient (2022) from the Network Science Society Member of the American Academy of Arts and Sciences Network Science Society Fellow Multiple 'Professor of the Year' awards at Kellogg World Wide Web Best Paper Prize (2016-2017) As an educator, Dr. Uzzi has developed innovative courses on network science for managers and executives. His consulting work extends to companies and governments worldwide, applying network science principles to real-world challenges in leadership, organizational design, and AI strategy. His research has been funded by DARPA, NSF, and other foundations, demonstrating its significance across multiple disciplines.

Peter Pal Zubcsekمشاهده پروفایل

مدرس ارشد

• Social Networks
• Consumer Behavior
• Customer Relationship Management
• +۵ مورد دیگر

Peter Pal Zubcsek serves as Senior Lecturer of Marketing at Tel Aviv University's Coller School of Management, previously holding an Assistant Professor position at University of Florida. His academic work bridges marketing, network science, and consumer psychology through rigorous quantitative analysis. His educational background includes: Ph.D. in Management from INSEAD M.Sc. in Informatics from Budapest University of Technology and Economics Zubcsek's research investigates how social network structures shape consumer behavior, with special focus on mobile advertising effectiveness, customer relationship management, and innovation diffusion. His work employs advanced network analysis to model consumer interactions and predict market responses. His publication trajectory from 2011-2017 reveals evolving expertise: starting with foundational network diffusion models (2011), progressing through mobile advertising frameworks (2016), and culminating in connected consumer intelligence systems (2017). This progression demonstrates increasing sophistication in integrating real-world network data with consumer behavior prediction. Key recognitions include: Journal of Interactive Marketing Best Paper Award (2016) MSI Research Grants totaling over $70,000 for mobile consumer behavior projects International Mathematical Olympiad silver medal (1998) He has secured significant research funding including MSI's $40,000 'Ideas Challenge' grant and leads the 'mLab' mobile research initiative, though specific student mentorship details remain undisclosed. His editorial role at Journal of Interactive Marketing underscores disciplinary leadership. The 'mLab' research initiative represents his current focus on mobile consumer behavior, leveraging collaborative frameworks to study real-time advertising response and device ecosystem interactions.

Ngoc Thanh Nguyenمشاهده پروفایل

استاد

• Computational Collective Intelligence
• Knowledge Integration
• Data Mining
• +۶ مورد دیگر

Ngoc Thanh Nguyen is a Full Professor at Wroclaw University of Science and Technology where he serves as Head of the Department of Applied Informatics. He holds the prestigious title of Professor granted by the President of Poland and has been recognized as a Distinguished Scientist of ACM since 2009. He serves as Editor-in-Chief of both the Journal of Information and Telecommunication (JIT) and the Vietnam Journal of Computer Science (VJCS), and chairs the IEEE SMC Technical Committee on Computational Collective Intelligence. His research spans computational collective intelligence, knowledge integration, data mining, social media analysis, and sentiment analysis. Professor Nguyen has pioneered significant methodologies in spatial data clustering within network space, inter-sequence pattern mining, and graph neural network applications. His work bridges theoretical computer science with practical applications in intelligent information systems, demonstrating particular expertise in handling complex spatial and sequential data structures. His research has evolved from foundational pattern mining techniques to sophisticated neural network approaches for geospatial and social data analysis. The analysis of his recent publications reveals a strong focus on spatial data analysis in network environments, with significant contributions to clustering algorithms, graph neural networks, and pattern mining. His work consistently addresses efficiency challenges in data processing while expanding into emerging areas like Vietnamese language processing and topological data analysis. The research demonstrates a clear trajectory from traditional data mining techniques toward more sophisticated AI-driven approaches that incorporate spatial relationships and network topologies. Distinguished Scientist of ACM (2009) ACM Distinguished Speaker (2009-2013) IEEE Distinguished Visitor (2009-2013) Title of Professor granted by the President of Poland Professor Nguyen has supervised over 20 PhD students to completion and currently mentors several ongoing doctoral candidates. His academic leadership extends to founding two major conference series: the Asian Conference on Intelligent Information and Database Systems (ACIIDS) and the International Conference on Computational Collective Intelligence (ICCCI), which have become significant venues in their respective fields. His collaborative network spans multiple institutions, particularly with Yeungnam University as evidenced by several co-supervised PhD projects. As founder and chair of the IEEE SMC Technical Committee on Computational Collective Intelligence, he leads an international community of researchers advancing this specialized field. His departmental leadership at Wroclaw University of Science and Technology positions him at the center of applied informatics research and education in Poland, with particular emphasis on computational intelligence applications.