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Laurel HarrisView profile

Associate Professor

• Anglophone and British Modernism
• Fiction-Film Interactions in Early 20th Century
• Sound Technologies and Literary Modernism
• +3 more

Dr. Laurel Harris is an Associate Professor in the Department of English at Rider University, specializing in Anglophone and British modernism, with a focus on intersections between fiction and film in the early 20th century, sound technologies' impact on literary modernism, and modernist women writers. She co-edited Communal Modernisms (Palgrave 2013) and is developing a project on sound representations in 1920s-30s fiction and film. Ph.D. in English Language and Literature from The Graduate Center, CUNY M.A. in Humanities from University of Chicago B.A. in Creative Writing/Film Studies from Oberlin College Her research explores: Modernist women's engagement with emerging sound technologies Audiovisual intersections in interwar British literature Feminist pedagogy in general education classrooms Collaborative teaching methods for 20th-century texts Media theory applications to modernist narratives Gendered perspectives in cinematic/literary modernism Publications and teaching emphasize interdisciplinary approaches, with notable work on Jean Rhys, Doris Lessing, and Virginia Woolf. Her recent articles analyze media's role in shaping modernist subjectivity, while upcoming work addresses feminist reinterpretations of modernist texts. Scientific honors include: 2022 Distinguished Teaching Award 2021 Ziegler-Gee Award in Gender & Sexuality Studies Multiple Summer Research Fellowships (2014-2022) 2020 AAUP Service Award Dr. Harris has advised honors projects on topics ranging from canon reclamation to literary adaptations, and organized key conferences on modernist collaboration, women's writing, and media studies. She teaches courses spanning 20th-century British literature, feminist criticism, and women in film.

• Operations Management
• Retail Operations
• Marketing-Operations Interface
• +9 more

Robert Rooderkerk is Associate Professor of Operations Management at the Rotterdam School of Management, Erasmus University Rotterdam, where he is affiliated with the Department of Technology and Operations Management. His research sits at the intersection of marketing and operations, focusing on omnichannel retail, assortment optimization, and fulfillment strategies. He teaches courses on retail operations, empirical research methods, and consumer decision making across undergraduate, MBA, and PhD programs. Research Interests: His research combines empirical and conceptual approaches to understand how data analytics, consumer behavior, and new technologies are transforming retail. He investigates topics such as product line design, dynamic assortment personalization, and the impact of fulfillment failures on customer loyalty. His work integrates methods from econometrics, operations research, and psychology. Publication Trends: His recent publications span journals in marketing, operations, and management, reflecting the interdisciplinary nature of his work. Key themes include the adoption of retail analytics, omnichannel integration, and behavioral aspects of retail operations. There is a strong emphasis on practical relevance and industry applicability. Dutch Marketing Science Award Paul Green Award Finalist, Journal of Marketing Research Advising and Grants: While no direct list of students is provided, he supervises bachelor theses and contributes to PhD training through the ERIM Master of Philosophy program. He has served as coordinator of the Research Training and Bachelor Thesis course. His research has been supported through academic collaborations and has had significant media coverage, indicating public and industry impact. Labs and Teams: He is actively involved in the Marketing-Operations Interface research group at RSM and collaborates with scholars globally. His work contributes to the UN Sustainable Development Goals, particularly through innovations in sustainable retail practices and responsible consumption.

Kristian AndersenView profile

Professor

• Virology
• Genomics
• Epidemiology
• +3 more

Kristian G. Andersen is a Professor in the Department of Immunology and Microbiology at Scripps Research, with joint appointments in the Department of Integrative Structural and Computational Biology and the Skaggs Graduate School of Chemical and Biological Sciences. He directs the Infectious Disease Genomics program at the Scripps Research Translational Institute. His research focuses on understanding host-pathogen interactions, particularly the emergence, evolution, and spread of viruses like SARS-CoV-2, Ebola, Zika, and Lassa. Andersen earned his PhD in Immunology from the University of Cambridge and completed postdoctoral work at Harvard University and the Broad Institute under Pardis Sabeti. He has pioneered large-scale international collaborations using genomic sequencing, computational biology, and fieldwork to study viral outbreaks. His lab integrates computational methods with experimental biology to track viral evolution and improve outbreak responses. Recent work has included identifying the Wuhan market as the early epicenter of the SARS-CoV-2 pandemic, analyzing mpox outbreaks in West Africa, and developing wastewater surveillance systems for infectious diseases. Andersen has advised on pandemic preparedness initiatives, including the CDC-funded California COVIDNet and SEARCH programs. His team collaborates globally through networks like the Viral Hemorrhagic Fever Consortium and the West African Research Network for Infectious Diseases.

Hanan SametView profile

Professor

• Spatial Databases
• Data Structures
• Geographic Information Systems (GIS)
• +5 more

Hanan Samet is a Distinguished University Professor at the University of Maryland's Computer Science Department, affiliated with the Institute for Advanced Computer Studies (UMIACS) and the Center for Automation Research. He holds a Ph.D. from Stanford University (1975) and specializes in spatial databases, data structures, and geographic information systems. His research bridges computer science and geospatial analytics, with applications in image databases, computer vision, and spatio-temporal data management. Education: Ph.D., Computer Science, Stanford University, 1975 Research Interests: Focuses on spatial data structures, GIS, spatio-textual systems like NewsStand and CoronaViz, trajectory analysis, and metric indexing. His work emphasizes scalable algorithms for spatial networks and multimedia databases. Notable Projects: CoronaViz : Tracks disease spread via spatio-temporal data visualization NewsStand : Maps news articles geospatially SAND: Spatial browser for digital government Awards: ACM Paris Kanellakis Award (2014), IEEE McDowell Award (2015), UCGIS Research Award, and Fellowships in ACM/IEEE/AAAS. Recognized for advancing spatial database theory and practice. Grants/Advising: Leads NSF-funded projects on spatio-textual extraction and similarity search. Advises graduate students (e.g., Nicole Schneider, Montana Hoover) and undergraduate researchers. Labs/Teams: Active in UMIACS and the Center for Automation Research, collaborating on projects like VASCO (spatial visualization tools) and MARCO (image database systems).

Lisa CordesView profile

Professor

• Latin Literature
• Fiction and Figurative Representation
• Authorship and Literary Theory
• +7 more

Lisa Cordes is a Professor of Latin Studies at the Institute of Classical Philology , Humboldt University of Berlin, since 2023. Her research focuses on fiction, literary figures, and authorship in Latin literature , with a strong emphasis on panegyric rhetoric, gender studies, and cultural theory . She has held notable positions, including a Humboldt Foundation Visiting Fellowship (2024-2025) and a Feodor Lynen Fellowship (2022-2023). PhD in Classical Philology, LMU Munich (2016) Juniorprofessorin für Latinistik at HU Berlin (2019-2023) Lisa Cordes' research explores panegyric fictionality , gendered first-person discourse , and literary character theory in premodern texts. Her work bridges classical philology with modern frameworks like discourse analysis and digital humanities , focusing on authors such as Cicero, Seneca, and Ovid. Her recent publications (2025-2021) analyze literary character modeling , Cicero’s dialogues , and authorship performativity , with recurring themes of imperial representation and autobiographical elements . She co-edits the Handbuch der lateinischen Literatur (Band 3.2) and leads the BridgeClassics research group for digital classics. Scientific Awards: Feodor Lynen Research Fellowship (2022-2023) Member, Jungen Akademie der Akademie der Wissenschaften und der Literatur, Mainz (since 2020) As a visiting fellow at Princeton University (2024-2025) and visiting scholar at Cambridge (2022-2023), Cordes has collaborated internationally. She has also contributed to digital classics projects and interdisciplinary workshops on textualization and authorship.

• Semantics
• Pragmatics
• Linguistic Worldview
• +6 more

Dorota Piekarczyk is a full Professor at the University of Marie Curie-Skłodowska (UMCS) in Lublin, Poland, affiliated with the Faculty of Languages, Literatures and Cultures. She has served since 2002 and held the position of Deputy Director at the Institute of Polish Philology from 2013-2019. Her research focuses on the intersections of language and cognition, particularly through semantic analysis , pragmatic frameworks , and linguistic worldview studies. She specializes in paratextual elements of publications, examining how covers, blurbs, and series information shape reader expectations and societal knowledge reception. The 2020 monograph on book covers represents her most comprehensive work on paratextual analysis. Her recent publications (2020-2019) investigate paratextual persuasion techniques popular culture integration in science communication publisher-reader dynamics while maintaining long-term contributions to floral categorization studies and cognitive schemata in texts. Scientific achievements include 2014 Prime Minister's Award for 'Metafory metatekstowe' ORCID: 0000-0002-8859-7897 648 total ministerial points across 12 publications

• Databases
• Spatial Data Management
• Geospatial Systems
• +3 more

Mohamed Sarwat is an Associate Professor at Arizona State University specializing in databases , spatial data management , and recommender systems . His research focuses on GeoSpark —a cluster computing framework for spatial data—and its extensions like GeoSparkViz for visualization and GeoSparkSim for traffic simulation. Key Contributions: LARS* (Location-Aware Recommender System), Horton* (Graph Reachability), Sindbad (GeoSocial Platform), and Riso-Tree (Graph Database Indexing) Research Themes: Integration of spatial/temporal data with machine learning, efficient indexing for big geospatial datasets, and scalable frameworks for mobility data science His work spans collaborations with 23+ co-authors across institutions like University of Minnesota, University of Melbourne, and University of Salzburg. Current projects emphasize GeoTorchAI —a spatiotemporal deep learning system—and mobility data science infrastructure.

• mHealth Application Development
• Ontology
• Machine Learning
• +3 more

Daniel Campbell is a Lecturer in Web Development & Web AI at the Computer Science department of Edge Hill University. His work contributes to UN Sustainable Development Goals related to health and innovation. He is affiliated with the Centre for Intelligent Visual Computing and the Data and Complex Systems Research Centre. Education: He completed his Doctoral Thesis in 2018 titled 'An Ontology-Driven Approach To Personalised mHealth Application Development' under supervisors E. Pereira, G. McDowell, and C. Balakrishna. Research focuses on mHealth applications, ontology-driven frameworks, machine learning for health monitoring, and software engineering practices like bug prediction and open-source repository analysis. Recent projects include a Knowledge Exchange initiative with the water industry (2024-2026) as a Co-Investigator. His articles explore topics ranging from accelerometer-based elderly activity prediction to automated classification of software repository messages. Collaborations span institutions globally, with active engagement in topics like healthcare technology and user-centric design.

• Digital Trust
• Cybersecurity
• Blockchain
• +12 more

Dr. Felix Härer is a Lecturer and researcher at the University of Applied Sciences FHNW, School of Business, Basel, Switzerland, and also teaches externally at the University of Fribourg. He is affiliated with the Digital Trust Competence Center, where he conducts research and teaching in IT Security, Cybersecurity, Digital Trust, Blockchain, AI, Cloud Computing, and Systems Modeling. His research interests span a broad and interdisciplinary range, including: Digital Trust and Cybersecurity Blockchain and Decentralized Systems AI and Knowledge-based Systems (including LLMs and RAG) Software and Systems Modeling (BPMN, ArchiMate) Data Science and ETL-based Analytics Zero Trust and Secure Architectures His recent publications (2020–2023) demonstrate a strong focus on blockchain interoperability, model-driven engineering, decentralized applications, and the integration of AI with conceptual modeling. He explores scalable architectures, cross-chain query languages, and secure attestation mechanisms, often combining modeling approaches with emerging technologies. His work bridges academic rigor with practical implementation in distributed and cloud environments. Scientific awards include: Best Paper Award at IEEE PKIA 2023 He actively supervises bachelor’s and master’s theses and student projects in digital trust and related domains. He has served on PhD committees externally and is a reviewer and program committee member for journals and conferences such as IEEE Transactions, WWW, CAiSE, and EMISAJ. His professional experience includes industry work at Siemens Healthineers in software engineering. He is a member of the IEEE Blockchain Group (Switzerland) and contributes to UN/CEFACT standards for e-commerce and supply chain data. He is involved in organizing workshops and conferences, including B4ISE 2025, B4TDS 2023–2024, and DESRIST 2023, and has delivered keynotes on Computational Trust and Blockchain Interoperability.

Wei-Chen HungView profile

Professor

• Problem Solving
• Human-Computer Interaction
• Performance Support Systems
• +7 more

Wei-Chen Hung is a Professor and Department Chair in the Department of Educational Technology, Research and Assessment at Northern Illinois University’s College of Education. He holds a Ph.D. in Instructional Systems Technology from Indiana University-Bloomington and is actively engaged in teaching, research, and leadership in educational technology. Ph.D., Instructional Systems Technology, Indiana University-Bloomington (with Minor in Information Science) His research focuses on problem solving, human-computer interaction (HCI), and performance support systems in educational contexts. He explores how technology can scaffold learning, enhance problem-solving skills, and support teachers in instructional design and classroom management. His work spans K–12, higher education, and professional training environments. The recent publications highlight a strong trend in developing and evaluating technology-enhanced learning environments, including intelligent tutoring systems, 3D virtual worlds, educational simulations, and performance support tools. These works span disciplines such as STEM education, nursing, and social sciences, reflecting an interdisciplinary approach to solving instructional challenges through technology. Wei-Chen Hung has secured significant research funding from agencies including the National Science Foundation, NASA, and the Illinois Department of Education. He has served as Principal Investigator and Co-Principal Investigator on multiple grants focused on educational simulations, research methods training, and assistive technologies. National Science Foundation: Web-based Interactive Landform Simulation Model (WILSIM), $236,041, 2013–2016 (Senior Faculty Expert) Elgin Community College: Information security awareness, $10,000, 2011–2012 (Principal Investigator) National Science Foundation: Intelligent tutoring system for research methods, $150,000, 2008–2012 (Co-Principal Investigator) NASA: MARS Valley Networks Project, $20,000, 2005–2007 (Faculty Expert) Illinois Department of Education: Assistive technology for blind and visually impaired children, $75,000, 2005–2007 (Faculty Expert) He has contributed to the development of software tools and systems such as the Cause and Consequence behavior management system and performance support systems for educators. His lab and research initiatives emphasize applied design, usability testing, and evaluation of educational technologies in real-world settings.

Helen OleynikovaView profile

Lecturer

• Robotics
• Autonomous Systems
• Micro-Aerial Vehicles (MAVs)
• +12 more

Helen Oleynikova is a Lecturer at the Department of Mechanical and Process Engineering at ETH Zürich, where she is part of the Autonomous Systems Lab. She works on the intersection of perception and planning, particularly for micro-aerial vehicles. Her research focuses on real-time onboard mapping, planning, and localization using visual-inertial systems and signed distance fields. Research Interests: Helen's work spans robotics, autonomous systems, and computer vision, with a focus on enabling safe and efficient navigation in complex environments. She specializes in visual-inertial odometry, SLAM, 3D mapping using signed distance fields, and real-time path planning for MAVs. Her projects often involve embedded systems and FPGA-based high-speed vision for obstacle avoidance. Publication Trends: Her recent publications (2023–2019) show a consistent focus on real-time, onboard algorithms for autonomous navigation. Key themes include signed distance function maps, collision-free motion generation, global localization, and efficient exploration. She frequently publishes in top-tier robotics conferences such as ICRA and IROS, and journals like IEEE RA-L and Journal of Field Robotics. Professional Experience: Senior Researcher, Autonomous Systems Lab, ETH Zürich Senior Software Engineer, Isaac 3D Perception, Nvidia Senior Scientist, Microsoft Mixed Reality and AI Lab, Zürich Software Engineer, Google (StreetView) Contributor, Willow Garage (ROS, TurtleBot Arm) Education: PhD in Robotics, ETH Zürich (2019) MSc in Robotics, ETH Zürich BSc in Robotics, Olin College of Engineering (2011) Advising and Grants: While no formal students are listed, she has collaborated extensively with researchers at ETH Zürich and industry labs. Her work has been supported through institutional affiliations and industry research roles. She has contributed to open-source robotics software, particularly in ROS-based systems for manipulation and navigation. Labs and Teams: Helen is a key member of the Mobile Manipulation team at the Autonomous Systems Lab at ETH Zürich. She has also been involved in projects at Nvidia, Microsoft, Google, and Willow Garage, focusing on real-world deployment of autonomous systems.

Mary HegartyView profile

Professor

• Spatial Cognition
• Diagrammatic Reasoning
• Individual Differences in Spatial Abilities
• +4 more

Mary Hegarty is a Distinguished Professor in the Department of Psychological & Brain Sciences at UC Santa Barbara. She has been on the faculty since 1988 following her PhD from Carnegie Mellon University. Her research focuses on spatial thinking, navigation strategies, and individual differences in spatial abilities, with emphasis on STEM education. She leads the Spatial Thinking Lab, employing methods like fMRI and virtual environments. Current NSF-funded projects explore navigation variability and spatial ability’s role in STEM success. Education: BA and MA from University College Dublin, PhD in Psychology from Carnegie Mellon (1988). Research Interests: Spatial cognition (e.g., mental rotation, navigation strategies), spatial representation in STEM, and effects of technology like GPS on spatial skills. Unique focus on integrating experimental psychology with individual difference analysis. Awards: APS Fellow, Spencer Postdoctoral Fellowship, former Cognitive Science Society board chair. Editorial roles at Journal of Experimental Psychology: Applied and Topics in Cognitive Science. Lab Activities: Develops VR tools for spatial assessment, collaborates on projects like Sea Hero Quest. Focuses on translating spatial cognition research into educational interventions. Current research examines neural correlates of navigation and midlife spatial aging effects.

Nicholas CumminsView profile

Lecturer

• Artificial Intelligence
• Machine Learning
• Affective Computing
• +6 more

Dr. Nicholas Cummins is a Lecturer in AI for Speech Analysis at King’s College London, specializing in applying machine learning to health conditions, particularly mental health disorders. He holds roles in the Department of Biostatistics & Health Informatics and is affiliated with the NIHR Maudsley Biomedical Research Centre. His research focuses on speech processing, affective computing, and digital phenotyping, with projects like RADAR-CNS and DE-ENIGMA. He earned his PhD from UNSW Australia (2016) and conducted postdoctoral work in Germany before becoming habilitation candidate at the University of Augsburg. Education: PhD in Electrical Engineering, UNSW Australia (2016) Habilitation Candidate, Chair of Embedded Intelligence for Healthcare, University of Augsburg Research Interests: Machine learning for mental health monitoring Speech-based biomarkers for depression and psychosis Wearable device integration for health tracking Multilingual speech analysis Key Projects: RADAR-CNS: Data analysis for neurological conditions DE-ENIGMA, TAPAS, sustAGE (Horizon 2020) National Science Foundation of China project on speech-based depression diagnosis Grants & Awards: Over 100 peer-reviewed publications (h-index: 23) NSFC-funded project on speech analysis for depression Reviewer for IEEE, ACM, ISCA journals Labs & Teams: Involved in the NIHR HealthTech Research Centre in Brain Health and the EMBRACE initiative for maternal/child health with AI.

• Human-Computer Interaction
• Learning Sciences
• Artificial Intelligence in Education
• +7 more

Hariharan Subramonyam is an Assistant Professor (Research) at Stanford University's Graduate School of Education and Computer Science (by courtesy) . He serves as the Ram and Vijay Shriram Faculty Fellow at the Institute for Human-Centered AI (HAI) and is a core faculty member of Stanford HCI . His research bridges Human-Computer Interaction (HCI) and the Learning Sciences , focusing on augmenting human learning through AI via cognitively informed design practices, co-design with learners/educators, and transformative AI-enabled learning experiences. His work emphasizes ethical AI, responsible design, and human values in technology. He earned a PhD in Information from the University of Michigan under Eytan Adar. Current projects include Script&Shift (layered interfaces for LLM writing), AltCanvas (accessible image editing for BVI users), and CogGen (AI tutoring systems). His teaching includes EDUC 432: Designing Explorable Explanations and CS 448B: Data Visualization . Key Research Areas Cognitively Informed AI Systems Human-AI Collaborative Writing Accessible Generative AI Tools Ethical AI Frameworks Interactive Learning Environments Awards & Grants Best Paper Award (CHI 2025) Honorable Mention Award (CHI 2025) HAI Hoffman Yee Grant (2024) Cover Story in Interactions Magazine (2024) Collaborative Networks Co-organizing CHI 2025 Tools for Thought Workshop Contributor to UIST 2024 Dynamic Abstractions Workshop Advising PhD students across Stanford, Georgia Tech, and Duke Collaborations with institutions including University of Michigan, National University of Singapore, and Technical University Munich

Peter K. AllenView profile

Professor

• Robotics
• Computer Vision
• Medical Robotics
• +6 more

Peter K. Allen is a Professor of Computer Science at Columbia University's School of Engineering and Applied Science, with a career spanning over three decades in robotics research. His work focuses on robotic grasping , 3D vision and modeling , and medical robotics , where he has made significant contributions to autonomous manipulation and sensor integration. Current affiliation: Columbia University Robotics Lab Academic rank: Professor Key research areas: Robotics, Computer Vision, Artificial Intelligence Education A.B. in Mathematics-Economics from Brown University M.S. in Computer Science from University of Oregon Ph.D. in Computer Science from University of Pennsylvania (recipient of CBS Foundation Fellowship, Army Research Office Fellowship) Research Interests Allen's research bridges fundamental robotics challenges with applied domains. His work on robotic grasping explores low-dimensional subspaces and semantic task suitability, while 3D vision contributions include illumination coherence and texture registration methods. In medical robotics , he develops surgical imaging tools and BCI-enabled grasping systems. Recent publications show trends in: Deep learning for robotic manipulation (2017-2022) Human-robot interaction through BCI and augmented reality Deformable object manipulation (garments, thin shells) Multi-modal sensing (vision-tactile fusion) Scientific Recognition NSF Presidential Young Investigator Award Best Student Paper Award (2007) for collaborative work Over 30 years of continuous funding from NSF, Army Research Office, and medical grants Teaching and Mentorship He has taught graduate courses in robotics (COMS 4733/6731) since 2010, emphasizing hands-on projects with advanced platforms like Baxter, PR2, and Fetch robots. His lab provides immersive training in: 3D photography Humanoid robotics Autonomous navigation Grasp planning