جست‌وجوی استاد و پژوهشگر

Tobias Blankeمشاهده پروفایل

استاد

• Artificial Intelligence
• Digital Humanities
• Big Data Ethics
• +۷ مورد دیگر

Professor Tobias Blanke is a leading scholar at the University of Amsterdam and the Institute for Logic, Language, and Computation , with additional affiliation as Visiting Professor of Social and Cultural Informatics at King’s College London. His work bridges artificial intelligence and humanities disciplines. PhD in Computer Science and Political Philosophy Director of DARIAH (2012–2016) Head of Digital Humanities Department at KCL (2016–2019) Blanke’s research focuses on artificial intelligence and big data applications within the human sciences, emphasizing ethical implications such as: Predictive policing systems Algorithmic othering Platform monopolization Computational genealogy XML retrieval frameworks His recent publications demonstrate increasing interdisciplinary collaboration in digital humanities , with key partnerships at the Open Data Institute , TacticalTech , and British Library . While no formal awards are listed in available materials, his leadership in infrastructural projects like the European Holocaust Research Infrastructure highlights significant contributions to the field. Blanke maintains active teaching and research roles, leading initiatives like the International Artificial Intelligence PhD Academy courses for social sciences. His technical expertise spans: XML retrieval systems NoSQL database applications Algorithmic governmentality Digital publishing frameworks

• Bioinformatics
• Computational Molecular Design
• Molecular Modeling
• +۲ مورد دیگر

Dr. Christiane Ehrt is a Postdoc researcher at the Center for Bioinformatics within the Faculty of Mathematics, Informatics and Natural Sciences at the University of Hamburg. Her work focuses on computational molecular design, integrating bioinformatics and systems biology approaches to advance molecular modeling and computational chemistry. Research Interests: Dr. Ehrt's research emphasizes the development and application of computational methods for molecular design, including but not limited to: Algorithmic approaches for predicting molecular interactions High-throughput computational screening of biochemical systems Integration of experimental and computational data in drug discovery Publications: No specific articles listed in the provided text, but her research aligns with broader themes in bioinformatics and molecular modeling. Awards: None explicitly mentioned in the provided materials. Advising/Grants: No information available on current or past advisees or grant leadership roles. Labs/Teams: Affiliated with the Center for Bioinformatics and the Computational Molecular Design group at the University of Hamburg.

• Digital Agriculture
• Remote Sensing
• Environmental Informatics
• +۴ مورد دیگر

Dr Toby Waine is a Professor in Applied Remote Sensing at Cranfield University, affiliated with the Cranfield Environment Centre. He holds an EngD in Non-invasive soil property measurement for precision farming (Cranfield University, 1999). His career includes commercial roles in IT-agronomy and mobile software before returning to academia in 2004 to focus on remote sensing applications in agriculture and environmental monitoring. Research Themes: Land Resources Monitoring: Specializing in crop inventory via multi-spectral satellite integration, including opium production monitoring in Afghanistan and vegetation assessments in semi-arid regions. Precision Agriculture: Developing remote sensing tools for crop canopy management, yield prediction, and nutrient optimization through projects like the European Space Agency’s FarmingTruth initiative. Key Collaborations: Works with clients such as the UN, Department for Energy Security and Net Zero, and Unilever. Active in projects like regenerative tea production systems and soil management for smallholder farmers in Kenya. Publications: Over 100 peer-reviewed articles, focusing on remote sensing applications in agriculture, environmental monitoring, and urban sanitation. Recent work includes spatial modeling of faecal matter flow in unsewered cities and agent-based models for farmer decision-making in arid regions. Awards & Recognition: No specific named awards listed, but recognized for contributions to applied remote sensing through industry-academia partnerships. Labs/Teams: Leads the Applied Remote Sensing Group and collaborates with the Environment and Agrifood research theme at Cranfield.

Neriman Tokcanمشاهده پروفایل

استادیار

• Algebraic Geometry
• Multi-Linear Algebra
• Combinatorics
• +۳ مورد دیگر

Neriman Tokcan is an Assistant Professor in the Department of Mathematics at the University of Massachusetts Boston (College of Science and Mathematics). She holds a Ph.D. in Mathematics from the University of Illinois Urbana-Champaign. Her research focuses on Algebraic Geometry, Multi-Linear Algebra, Combinatorics, Computational Biology, and Bioinformatics, with applications in tensor data analysis and medical informatics. Her work bridges pure mathematics and applied domains, such as developing algebraic methods for tensor data analysis and applying combinatorial techniques to biomedical problems. Notable contributions include studies on Newton polytopes in algebraic combinatorics and Waring ranks of binary forms. Publications highlight interdisciplinary research, including applications in postoperative cardiac care monitoring and computational methods for single-cell transcriptomics. Her recent work emphasizes tensor-based approaches for omics data analysis and patient monitoring systems. No scientific awards or grants are explicitly listed in the provided materials. She advises no students in the listed texts but collaborates widely with researchers in mathematics and computational biology. Her office is located at Wheatley 3-154-20.

Samuel Cartonمشاهده پروفایل

استادیار

• Natural Language Processing
• Machine Learning
• Human-Computer Interaction
• +۳ مورد دیگر

Samuel Carton is an Assistant Professor in the Department of Computer Science at the University of New Hampshire (UNH), within the College of Engineering and Physical Sciences. His research focuses on human-centered natural language processing (NLP), emphasizing the implicit knowledge acquired by NLP models and methods to present this knowledge effectively to human stakeholders for ethical and practical use. He holds a Ph.D. in Information Science/Studies from the University of Michigan and has conducted postdoctoral research with Chenhao Tan at the University of Colorado Boulder and University of Chicago. He teaches courses including Natural Language Processing, Advanced Topics in CS, and Doctoral Research. Education: Ph.D., Information Science/Studies, University of Michigan Research Interests: Human-AI collaboration, model interpretability, ethical AI, and explainable NLP. His work bridges algorithm design and human-subject experimentation to ensure models are both effective and trustworthy. Grants & Advising: No explicit grants listed; actively involved in doctoral research supervision as seen in his course offerings. Labs & Teams: No specific lab affiliations explicitly mentioned, but his research likely involves collaborations with NLP and AI ethics groups.

Margaret Kippمشاهده پروفایل

دانشیار

• Social Tagging
• Metadata
• Semantic Web
• +۳ مورد دیگر

Margaret E. I. Kipp is an Associate Professor in the School of Information Studies at the University of Wisconsin-Milwaukee. She holds a PhD and MLIS from the University of Western Ontario, and a BSc in Computer Science from the University of Ottawa. Her research focuses on social tagging, metadata, semantic web technologies, and information organization systems. Education: PhD, 2009: Library and Information Science, University of Western Ontario MLIS, 2002: University of Western Ontario BSc, 1999: Computer Science, University of Ottawa Research interests include: Metadata design and standards Semantic web applications Social tagging practices Information retrieval systems Classification systems Her recent work explores metadata schemes for cultural heritage materials like Chinese rubbings data, linked data models for libraries, and user behavior in social tagging platforms. She has published widely on topics such as collaborative tagging effectiveness in medical collections and mappings between MARC standards and linked data formats. Dr. Kipp is affiliated with the Information Organization Research Group and teaches courses in information organization, metadata, and database management.

Bart Simonمشاهده پروفایل

استاد

• Game Studies
• Science and Technology Studies
• Cultural Sociology
• +۷ مورد دیگر

Bart Simon is a Professor in the Department of Sociology and Anthropology at Concordia University, and Director of the Milieux Institute for Arts, Culture and Technology. He co-founded the Technoculture, Art and Games (TAG) research centre. His work bridges game studies, science and technology studies, and cultural sociology, focusing on game cultures, socio-materiality, and everyday life. Simon holds a PhD from the University of California, San Diego. His current research explores immersive theatre, materialities of play, and Minecraft communities, funded by the Social Sciences and Humanities Research Council of Canada (SSHRC). Notable projects include SunBlock One, a solar-powered Minecraft server integrating renewable energy education, and studies on indie game scenes and modding cultures. His academic contributions span over 40 publications, including works on digital culture, liveness in performance, and the cultural politics of gaming. Simon actively engages in public scholarship through exhibitions, workshops, and interdisciplinary collaborations, emphasizing community-driven research and sustainability.

Tiago Luís Pereira Galvãoمشاهده پروفایل

استادیار

• Materials Science
• Artificial Intelligence
• Corrosion Inhibitors
• +۵ مورد دیگر

Tiago Luís Pereira Galvão is an Assistant Professor at the Department of Materials and Ceramic Engineering, University of Aveiro, Portugal. He is affiliated with CICECO – Aveiro Institute of Materials, where he leads research in the group G6 - Virtual Materials and Artificial Intelligence, focusing on computational materials science and corrosion prevention technologies. His work integrates artificial intelligence, machine learning, and multiscale modeling to address challenges in materials design and corrosion inhibition. Research interests include virtual materials development, corrosion inhibitors, nanomaterials, and computational approaches to materials characterization. His projects emphasize data-driven solutions, such as the DATACORTECH AI platform and CORDATA web application for corrosion inhibitor selection. Key contributions span over 14 journal articles and book chapters, with a focus on layered double hydroxides, molecular dynamics simulations, and corrosion monitoring systems. His work bridges theoretical chemistry and practical applications, such as corrosion-sensing coatings and early-stage corrosion detection using nanoadditives. Awards: Young Researchers Award 2021 Labs/Teams: CICECO – Aveiro Institute of Materials (Group G6)

Aditya Shekhar Nittalaمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Physical Computing
• Tangible User Interfaces
• +۵ مورد دیگر

Aditya Shekhar Nittala is a tenure-track Assistant Professor in the Department of Computer Science at the University of Calgary, directing the DIFF Lab and affiliated with the Interactions Lab. Previously, he was a PhD student at the Max Planck Institute for Informatics and Saarland University, and conducted research at Xerox Research Center India. His research focuses on blending materials science, electrical engineering, and HCI to create novel interactive devices embedded in daily environments, particularly epidermal computing and sustainable fabrication methods. Education: PhD in Computer Science, Max Planck Institute for Informatics/Saarland University (2022) MSc in Computer Science, University of Calgary (Canada) Bachelor's in Computer Science & Engineering, M.S. Ramaiah Institute of Technology (India) Research Interests: Epidermal devices for on-body interaction Biodegradable materials for interactive prototyping Computational design tools for physiological sensors Ubiquitous computing through wearable interfaces Key Contributions: Developed PhysioSkin and Interactive Bioplastics for eco-friendly wearable devices Pioneered SoloFinger gesture recognition system Epidermal computing frameworks balancing tactile sensitivity and device robustness Awards: UIST 2022 Best Paper & Demo Awards NSERC Discovery Grant (2023) NFRF Award (2023) Grants & Labs: Directs the DIFF Lab (Devices, Interaction, Fabrication for the Future) Member of Interactions Lab at UCalgary Received funding for epidermal computing and sensor optimization projects Future Work: Expanding into interactive sports devices, gaming interfaces, and medical applications of epidermal sensors.

Aniket Bhattacharyaمشاهده پروفایل

استاد

• Theoretical Condensed Matter Physics
• Soft Matter Systems
• Polymer Physics
• +۵ مورد دیگر

Aniket Bhattacharya is a Professor in the Department of Physics at the University of Central Florida (UCF), specializing in theoretical and computational studies of soft condensed matter physics and biophysics. His work spans DNA translocation through nanopores, intrinsically disordered proteins, and confined biopolymers, with applications in biomedical materials. PhD in Theoretical Condensed Matter Physics (University of Maryland, 1992) BS – Physics Honors (Presidency College, Kolkata) MS in Physics (University College of Science, Kolkata) Research interests: Scaling theory and simulations of soft matter systems Polymer physics in crowded environments Biologically inspired physics, particularly DNA transport through nanopores Physics of intrinsically disordered proteins linked to disease Development of soft materials for biomedical applications Recent publications focus on machine learning strategies for protein characterization, nanopore DNA barcoding, and polymer dynamics in confined spaces. His work has been supported by grants from the NSF, NASA, and NIH. He holds multiple patents related to nanopore-based DNA analysis and mutation prediction in disordered proteins. United States Patent 12,049,663B2 (2024) Non-Provisional Patent Application 19/232,158 (2025) His lab collaborates on interdisciplinary projects involving computational modeling, nonequilibrium transport phenomena, and biomedical applications.

Kevin Roseمشاهده پروفایل

دانشیار

• Aquatic Ecology
• Biogeochemistry
• Climate Change Impact on Freshwater
• +۴ مورد دیگر

Kevin Rose is an Associate Professor in the Department of Biological Sciences at Rensselaer Polytechnic Institute (RPI) and holds the Frederic R. Kolleck ’52 Career Development Chair in Freshwater Ecology. He serves as Acting Director of The Darrin Freshwater Institute and Director of The Jefferson Project, leading interdisciplinary research on freshwater ecosystems. His work bridges biology, ecology, biogeochemistry, and computational modeling to understand global environmental change. Ph.D. in Ecology, Evolution, and Environmental Biology (Miami University, 2011) B.A. in International Relations (Lehigh University, 2005) B.S. in Materials Science and Engineering (Lehigh University, 2004) Dr. Rose’s research focuses on how climate change, land use, and anthropogenic stressors alter freshwater ecosystems. His lab, The Global Water Lab, investigates macrosystem dynamics, including aquatic deoxygenation, lake browning, and UV radiation effects. He employs advanced environmental sensors and modeling to forecast ecosystem shifts. Recent publications highlight aquatic deoxygenation as a planetary boundary threat, climate-driven water clarity changes, and interdisciplinary collaborations. His work spans global lake biogeochemistry, harmful algal blooms, and climate-ozone interactions via the UNEP Environmental Effects Assessment Panel. Scientific contributions include: NSF CAREER grant for freshwater CO2 and oxygen research Leadership in UNEP assessments on ozone and plastic pollution Development of LakeEnsemblR for ensemble lake modeling He teaches courses like Global Environmental Change , Biostatistics , and Advanced Topics in Ecology , emphasizing data analysis and ecological literature critique. His lab fosters collaboration, inclusivity, and interdisciplinary training in freshwater science.

Mehrdad Nouraniمشاهده پروفایل

استاد

• Biometric signal/image processing
• Machine learning for healthcare
• VLSI/SoC design for reliability
• +۴ مورد دیگر

Dr. Mehrdad Nourani is a Professor of Electrical and Computer Engineering and Senior Associate Provost for Faculty Affairs at The University of Texas at Dallas. He leads research in healthcare technology, VLSI testing, and embedded systems through the Predictive Analytics & Technologies (PAT) Lab and Quality of Life Technology (QoLT) Laboratories. His work focuses on biometric signal processing for patient monitoring (e.g., epilepsy, diabetes, sleep apnea) and VLSI reliability in nanometer-scale circuits. Education: PhD in Computer Engineering, Case Western Reserve University (1993) M.S. & B.S. in Electrical Engineering, University of Tehran (1986 & 1984) Research Interests: Integrates machine learning with biomedical engineering for wearable healthcare devices, develops novel VLSI testing methodologies, and explores data-driven diagnostics. Key areas include artifact removal in wearable sensors, personalized analytics for pressure ulcers, and SEEG-based seizure network modeling. Advising & Grants: Supervises 6 current PhD/Master’s students. Research supported by NSF, Texas Instruments, UT Southwestern, and others. Co-founded CICS and QoLT labs fostering interdisciplinary collaboration. Labs & Teams: Directs PAT Lab and collaborates through QoLT and CICS. Projects include smart bed systems for ulcer prevention, AI-driven camera platforms for ambulation assessment, and ESD stress analysis in semiconductor devices.

• Defects in Nanomaterials
• Physics Education
• Single Photon Emitters
• +۳ مورد دیگر

Zack Ward serves as a Lecturer in the Department of Physics, Applied Physics & Astronomy at Rensselaer Polytechnic Institute (RPI), teaching Physics I (PHYS 1110/1100) and Physics II (PHYS 1200) across Summer 2025, Spring 2025, and Fall 2024 semesters. His office is located in J-ROWL 3C06, with contact email wardz3@rpi.edu and phone 845-453-1829. Ward's research spans two primary domains: defects in nanomaterials and physics education innovation. In nanomaterials, he investigates single photon emitters and develops predictive models for defect energy/stability in 2D materials. His recent educational focus targets introductory physics courses, emphasizing curriculum redesign through enhanced lab manuals, Discord-based communication systems, and refined lecture materials to improve student comprehension and engagement. His publication record (2021-2024) reveals strong interdisciplinary work at the intersection of materials science and computational methods, with emphasis on defect engineering in hexagonal boron nitride for batteries, optical properties of transition metal dichalcogenides, and machine learning applications for perovskite bandgap tuning. Ward's recognition includes: Walter Eppenstein Award (2020) - Best graduate teaching assistant in Physics at RPI As an instructional-focused lecturer, Ward concentrates on classroom innovation rather than traditional research advising. His current initiatives include developing comprehensive Physics I lab manuals with visual enhancements, implementing Discord channels for real-time student-instructor interaction, and designing assessment questions that capture nuanced conceptual understanding across engineering and physical science disciplines. He actively shapes the Physics I/II instructional labs at RPI, with recent work centering on restructured lab manuals featuring detailed imagery, highlighted critical variables, and activity sequences designed to optimize experimental learning outcomes for diverse student cohorts.

Hua Dongمشاهده پروفایل

استاد

• Inclusive Design
• User-Centered Design
• Human-Computer Interaction
• +۶ مورد دیگر

Professor Hua Dong is a leading academic in inclusive design at Brunel University London , serving as Full Professor in Design, Director of Brunel Design Research Centre, and Inaugural Dean of Brunel Design School (2020-2024). She was elected Vice-Chair of the Design Research Society (DRS) in 2024, is a Fellow of DRS, and will chair QAA's Art and Design Subject Benchmarking Statement in 2025-26. Research Expertise: Dong pioneers inclusive design theory and application across industrial, engineering, architectural, and service design domains, with a focus on AI-powered products, mHealth for aging populations, and multisensory design. Her work bridges academia and industry through projects like the Design Bugs Out Challenge and collaborations with Ant Financial, Shanghai M&G Stationery, and UK-China initiatives. Scientific Contributions: She has secured major grants including an EPSRC grant and Newton Funds . Her publications span 2007-2024, covering AI-enhanced design ideation, service ontology for aging populations, and sustainable inclusion frameworks. She co-founded the Inclusive Design Research Centre in China and curated a special issue on inclusive design for Design magazine. Scientific Awards: Fellow of Design Research Society (2019) AHRC SEED Fellowship Member of Peer Review College of AHRC Teaching & Leadership: Dong holds a PGCert in Academic Practice and has shaped design education through co-design methodologies. She has supervised 14 PhD and 1 EngD student completions, organized the Cambridge Workshop for Universal Access since 2014, and served as External Examiner at Imperial College. Global Impact: As International Judge for SDGs Design Awards and advisor to UK charities (AgeUK), governments (Nanjing), and corporations (Reckitt Benkiser), she translates design research into tangible societal benefits. Her work has been exhibited at international venues including the Milan Triennale and Zurich Design Museum .

Ruxandra Dimaمشاهده پروفایل

استاد

• Computational Biophysics
• Biomolecular Simulations
• Machine Learning Applications
• +۲ مورد دیگر

Dr. Ruxandra Dima is a Professor in the Department of Chemistry at University of Cincinnati's College of Arts and Sciences, with expertise in computational biophysics and biomolecular informatics. Her research group develops multiscale models for biological nanomachines and cytoskeletal components, combining molecular simulations, machine learning, and GPU computing. Research areas include: mechanical properties of microtubules, ATP-driven molecular motors, protein-protein interactions in cellular processes, and bio-inspired material design. Her work has applications in neurodegenerative diseases and cellular transport mechanisms. Honors include: NSF CAREER Award (2009) Multiple Excellence in Undergraduate Research Mentorship Awards Cincinnati Chemist of the Year (2023) Canada Research Chair Tier II equivalent recognition Current grants support computational studies of microtubule disassembly mechanisms ($787K NSF) and undergraduate research programs. She leads interdisciplinary collaborations on biological nanomachines and organizes national sessions on molecular machines.