جست‌وجوی استاد و پژوهشگر

Xiaoming Zhengمشاهده پروفایل

استاد

• Computational Mathematics
• Fluid Dynamics
• Numerical Partial Differential Equations
• +۴ مورد دیگر

Xiaoming Zheng is a Professor of Mathematics at Central Michigan University (CMU), specializing in computational mathematics and mathematical biology. His research focuses on fluid dynamics, numerical partial differential equations, and biological systems such as tumor growth and angiogenesis. He leads a collaborative NSF-funded project (DMS-2309747) investigating computational methods for incompressible fluids and magnetohydrodynamic turbulence, with implications for weather prediction and plasma physics. Zheng earned his Ph.D. in Applied Mathematics from the University of California, Irvine (2005), and holds M.S. and B.S. degrees in Mathematics from Peking University and Nanjing University, respectively. Research & Grants: Zheng’s work bridges numerical analysis and biological modeling, with contributions to tumor growth dynamics, angiogenesis mechanisms, and fluid-structure interactions. His NSF project (2023–2026) develops novel computational tools for fluid dynamics, promoting interdisciplinary training and community engagement through K-12 outreach. Education: Ph.D., Applied Mathematics, University of California, Irvine (2005) M.S., Computational Mathematics, Peking University (1999) B.S., Mathematics, Nanjing University (1996) Research Interests: Computational Mathematics: Incompressible fluids, Navier-Stokes equations, interface-fitted adaptive mesh methods. Mathematical Biology: Tumor growth modeling, angiogenesis, infectious disease dynamics. Advising & Training: Zheng mentors graduate and undergraduate students in computational and biological mathematics, emphasizing interdisciplinary research. His projects include training underrepresented groups and fostering collaborations with institutions like Notre Dame. Labs & Simulations: His lab produces simulations of tumor growth under Darcy’s Law and Boussinesq equations, visualizing phenomena such as plume formation and temperature redistribution in buoyancy-driven flows.

• Work & Organisational Psychology
• Human-Computer Interaction
• Eye Tracking
• +۶ مورد دیگر

Patrik Pluchino is an Assistant Professor at the Department of Psychology, University of Padua, affiliated with the Human Inspired Technology Research Centre. His research focuses on cognitive processes in human-computer interaction, psychophysiological measures of attention, and IoT applications in workplace and living environments. He investigates attention allocation, multimedia learning, and ethical decision-making through eye-tracking and neurophysiological methods. Research interests include cognitive workload assessment using EEG/ERP, IoT systems for safety and sustainability, and VR-based training for disaster response. He leads projects like SAFE GYMS and DOMHO, developing smart solutions for elderly care and workplace safety. His work bridges psychology, technology, and design to enhance human-centered systems in Industry 5.0 contexts. Pluchino collaborates on EU-funded initiatives addressing aging workforce needs and accessible technologies for disabled users. His publications span 20+ years, emphasizing interdisciplinary approaches to human factors, educational technology, and assistive systems. Key contributions include studies on attentional blink, implicit learning mechanisms, and ethical behavior through attention dynamics.

• Civil Engineering
• Computational Fluid Dynamics
• Porous Media Flow
• +۳ مورد دیگر

Dr. Luka Malenica is a dedicated researcher at ETH Zurich's Professorship for Durability of Engineering Materials, focusing on computational modeling of material degradation processes in civil infrastructure. His work bridges theoretical numerical methods with practical engineering applications through direct involvement in the department's research operations. His research program centers on multiphase flow in porous media , corrosion mechanisms in reinforced concrete , and advanced numerical techniques . He employs pore-scale direct numerical simulations to investigate steel-concrete interface phenomena, developing predictive models for infrastructure durability. His methodological innovations include control volume isogeometric analysis, adaptive multiresolution modeling, and deep learning applications for adaptive meshing—addressing challenges in heterogeneous media flow and transport phenomena. Analysis of his 15 most recent publications reveals a consistent research trajectory since 2015, with accelerating output in corrosion science (5 papers in 2024-2025) and computational methods (7 papers 2019-2022). Key interdisciplinary connections span civil engineering (corrosion in reinforced concrete), chemical engineering (bubble column reactors), and hydrology (karst aquifer modeling), unified by his expertise in numerical simulation of transport phenomena. Recent work demonstrates increasing sophistication in modeling macrovoid formation at steel-concrete interfaces and capillary-driven multiphase systems.

Birte Glimmمشاهده پروفایل

استاد

• Knowledge Representation
• Automatic Reasoning
• Semantic Web Technologies
• +۳ مورد دیگر

Prof. Birte Glimm is a full Professor and Chair of the Institute of Artificial Intelligence at the University of Ulm. She holds leadership roles in academic governance, including as Dean of Studies for Cognitive Systems and Computer Science programs. Her research focuses on knowledge representation, automated reasoning, and semantic web technologies, with applications in autonomous systems and intelligent assistants. She has led projects like the 'Companion-Technology for Home Improvement' and contributed to standards such as SPARQL 1.1 Entailment Regimes. Education: PhD (2008) from the University of Manchester under Prof. Ian Horrocks, BSc from Hamburg University of Applied Sciences (2004), and prior industry experience in communication design. Research Interests: Development of efficient reasoning algorithms for Description Logics, ontology-based data management, and explainable AI. Her work emphasizes scalability, dynamic knowledge processing (e.g., for autonomous vehicles), and natural language explanations of automated reasoning. She co-leads the DFG-funded KEMAI research training group and previously led the BMBF project 2LIKE. Awards: Google Faculty Award (2017), Mileva Einstein-Marić-Preis (2016), and multiple best paper awards. She has served on numerous conference committees and editorial boards, including the OWL 2 Conformance Specification. Teaching: Courses on Knowledge-Based AI, Semantic Web Foundations, and programming for cognitive systems. She coordinates curricula for Computer Science and AI programs at Ulm. Labs/Teams: Institute of Artificial Intelligence; contributions to Collaborative Research Centers SFB/TRR 62 and EU projects in AI for industry.

Shawn Loewenمشاهده پروفایل

استاد

• Instructed Second Language Acquisition
• Second Language Interaction
• Quantitative Research Methodology
• +۲ مورد دیگر

Shawn Loewen serves as Professor and Associate Chair for Graduate Studies in Michigan State University's Department of Linguistics, Languages, and Cultures within the College of Arts & Letters. He directs the Second Language Studies (SLS) program and teaches second language acquisition and quantitative research methods courses. His educational background includes an MA from Temple University and PhD from the University of Auckland. Loewen's research centers on instructed second language acquisition (ISLA) , second language interaction , and quantitative methodology , with particular focus on bridging SLA research and classroom practice. He investigates how teachers engage with research and how mobile-assisted language learning impacts pedagogy. His recent publications reveal strong trends in mobile language learning effectiveness (Duolingo/Babbel studies), research-practice interface challenges, and methodological rigor in SLA. He examines nonverbal feedback mechanisms, synchronous communication platforms, and pronunciation acquisition through both empirical and theoretical lenses. His scientific recognition includes: Fulbright award for Polish University collaboration (2021) As SLS program director, Loewen fostered the graduate community that earned MSU's 2018 Outstanding Graduate Program Community Award. Since 2018, he has served as associate editor of The Modern Language Journal while securing research grants including the Fulbright. Though specific advisees aren't listed, his leadership roles indicate active graduate mentorship across second language studies. Loewen maintains active involvement in the SLS program and collaborates on language learning technology projects, frequently addressing media inquiries about language app efficacy as seen in Kiplinger's 2024 coverage.

Daniel Sonntagمشاهده پروفایل

استاد

• Intelligent User Interfaces
• Natural Language Processing
• Information Retrieval
• +۷ مورد دیگر

Prof. Dr.-Ing. Daniel Sonntag serves as Scientific Director of Interactive Machine Learning at the German Research Center for Artificial Intelligence (DFKI) and holds an Endowed Chair of Applied Artificial Intelligence at University of Oldenburg. He leads multiple significant research initiatives including No-IDLE (Interactive Deep Learning Enterprise), MASTER (Mixed reality ecosystem for teaching robotics), Ophthalmo-AI (intelligent eye care diagnostics), pAItient (AI applications in medicine), and XAINES (explainable AI with narratives). His research spans intelligent user interfaces, natural language processing, information retrieval, dialogue systems, common-sense modeling, and explainable machine learning methods for cognitive computing. His work particularly focuses on multimodal-multisensor interfaces for medical and health systems and Industry 4.0 applications. His research has had industrial impact, with SmartWeb's multimodal interaction design forming the technical infrastructure for Apple's Siri. His recent publications demonstrate strong trends in medical AI applications, particularly in eye tracking, radiology report generation with enhanced interpretability, and interactive federated learning frameworks. His work consistently bridges theoretical AI advances with practical medical and industrial applications. German High Tech Champion Award (2011) As a principal investigator, Sonntag leads national and European projects funded by the Federal Ministry of Education and Research, Federal Ministry for Economic Affairs and Energy, Federal Ministry of Health, and Horizon Europe. He has supervised numerous researchers including Michael Barz, Jan Zacharias, and Alexander Prange across multiple projects. His research group has successfully transitioned technologies to industry, with former researchers joining companies like Apple, Wacom, and Semvox. Sonntag's laboratory work centers on the Interactive Machine Learning department at DFKI, with strong connections to medical institutions and industry partners. His team develops cognitive assistance systems, mixed reality applications for smart factories, and AI-based diagnostic support tools, particularly in ophthalmology and radiology.

DENG Yangمشاهده پروفایل

استادیار

• Natural Language Processing
• Information Retrieval
• Large Language Models
• +۷ مورد دیگر

Dr. Yang Deng is a tenure-track Assistant Professor at the School of Computing and Information Systems, Singapore Management University, and a Lee Kong Chian Fellow. Previously, he was a Postdoctoral Research Fellow at NExT++ (National University of Singapore). His research focuses on Natural Language Processing, Information Retrieval, and Large Language Models, with special interests in Proactive Conversational AI, Trustworthiness of LLMs, and Human-Centered Information Seeking. He has published over 40 papers in top-tier venues including ACL, EMNLP, WWW, and SIGIR. PhD from The Chinese University of Hong Kong (2023) Research Advisor to CHEANG Chi Seng Research Domains: Natural Language Processing Information Retrieval Large Language Models Human-Agent Interaction Digital Transformation Trustworthy AI Scientific Recognition: Lee Kong Chian Fellowship Google South Asia & Southeast Asia Research Awards 2024 EMNLP 2024 Outstanding Area Chair NeurIPS 2024 Best Reviewer

• Epidemiology
• Public Health
• Zoonoses
• +۷ مورد دیگر

André RAVEL is an Associate Professor at the Faculté de médecine vétérinaire, Université de Montréal, specializing in epidemiology and veterinary public health. He holds an honorary professorship and leads the GREZOSP research group. His research focuses on zoonoses, foodborne diseases, and the impact of climate change on public health, particularly in Arctic regions. He has supervised multiple graduate students and leads interdisciplinary projects addressing dog-related health issues among Inuit communities and Campylobacter risk modeling. RAVEL's work integrates One Health and EcoHealth approaches, emphasizing collaboration between human, animal, and environmental health sectors. Education: D.M.V. (1987), Université Lyon I M.Sc. en sciences vétérinaires (1992), Université de Montréal Ph.D. in Biomedical Sciences (1995), Université de Montréal Research Interests: Surveillance system design and evaluation Risk analysis of foodborne/zoonotic pathogens Infectious disease transmission dynamics Climate change and vector-borne diseases Indigenous community health interventions Key Projects: Community-led wildlife health monitoring in Nunavik (2022-2025) Campylobacter risk modeling in Canada (2018-2024) Human-dog interface wellness initiatives (2017-2023) Grants & Awards: Recipient of the Hillman Student Poster Award (2015) for Lyme disease research Lead investigator on multiple IRSC and FRQNT-funded projects Labs/Teams: Directeur du Groupe de recherche en épidémiologie des zoonoses et santé publique (GREZOSP), member of RRSPQ and CReSP networks.

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۱۲ مورد دیگر

Enes Yigitbas is a researcher at the University of Paderborn, Germany, affiliated with the Department of Computer Science within the Faculty of Computer Science, Electrical Engineering and Mathematics. His research focuses on human-computer interaction, augmented and virtual reality, model-driven engineering, and self-adaptive user interfaces. Research Interests: Human-Computer Interaction (HCI) Augmented and Virtual Reality (AR/VR) Model-Driven Development Self-Adaptive and Context-Aware UIs Usability Evaluation Digital Twins End-User Development Gamification in Education Collaborative Software Modeling The recent publications (2024–2025) demonstrate a strong trend toward applying AR/VR in education, industrial training, healthcare, and software engineering. His work often integrates model-driven approaches with immersive technologies, focusing on usability, collaboration, and adaptation. He has contributed to frameworks for AR-assisted robot programming, VR training environments, and privacy-aware collaborative AR systems. Scientific Awards: No awards listed in the provided text. Advising and Grants: No explicit information about students or advisees. No direct mention of grants, but active research output suggests involvement in funded projects, likely within collaborative German or EU initiatives. Labs and Teams: Enes Yigitbas is part of a strong research group at the University of Paderborn, collaborating closely with Prof. Gregor Engels, Stefan Sauer, and others. His work is often associated with software engineering, modeling, and interactive systems research teams, contributing to tools like ProConAR and VREUD.

Analena Bruceمشاهده پروفایل

استادیار

• Sustainable Agriculture
• Environmental Sociology
• Sociology of Science
• +۳ مورد دیگر

Dr. Analena Bruce is an Assistant Professor in the Department of Agriculture, Nutrition, and Food Systems at the University of New Hampshire's College of Life Sciences and Agriculture. She holds a Ph.D. and M.A. from Rutgers University and a B.A. from the University of Pittsburgh. Her research focuses on sustainable livelihood strategies for farmers, Values-Based Food Supply Chains, and public engagement with agricultural policy. Key areas include alternative food networks, organic certification, and the sociological impacts of climate change on farming practices. Dr. Bruce leads the Food Systems Lab at UNH, which collaborates with farmers and organizations to enhance food system resilience through initiatives like collaborative marketing workshops. Recent projects include studying LGBTQ+ food insufficiency in New England and evaluating barriers to organic grain production. She teaches courses such as Food and Society, Seed to Sea/Sustainable Food, and Doctoral Research. Her work bridges academic research and practical application, with a focus on equity, transparency, and environmental sustainability. Notable collaborations include partnerships with UNH Extension and the Southern New England Farmers of Color Collaborative. While no formal awards are listed, her impactful research has been featured in outlets like UNH Today and Agriculture and Human Values Society Conference proceedings. Lab Address: 425 Kendall Hall, Durham, NH 03824 Lab Website: FindScholars@UNH Advising includes mentoring graduate students like Elise Neidecker (TA award recipient) and Alexa Wilhelm (first Food Systems Lab graduate). Current and past research explores high tunnel management, pesticide policy, and cooperative business models for beef producers.

Yun Chiuمشاهده پروفایل

استاد

• Analog-Digital Interface ICs
• RF Transceiver Frontends
• Power Electronics
• +۳ مورد دیگر

Yun Chiu is a Full Professor and Erik Jonsson Distinguished Professor in the Department of Electrical and Computer Engineering at the University of Texas at Dallas. He is the founding director of the Analog and Mixed-Signal IC Design Lab at the Texas Analog Center of Excellence (TxACE). His research focuses on integrated analog-digital interface ICs, including data converters (ADCs/DACs), RF transceivers, power electronics, and bioelectronic interfaces. Chiu previously held roles at the University of Illinois at Urbana-Champaign and co-founded Formula Microelectronics as CTO. Education: Ph.D. in EECS (University of California, Berkeley), M.S. in EE (UCLA), B.S. in Physics (University of Science and Technology of China). Research Highlights: Specializes in energy-efficient mixed-signal circuits, radiation-tolerant ADCs, and bioelectronic interfaces. His work includes innovations in SAR ADC architectures, noise-shaping techniques, and analog in-memory computing. He has led major programs like the Peacock and Pearl River initiatives. Awards: Jack Kilby Outstanding Paper Award (2004 ISSCC), Best Regular Paper Award (2012 CICC), and multiple student mentorship recognitions. Teaching: Teaches advanced analog IC design, electronic circuits, and data converter courses. Recent courses include EE/CE 2301 (Electrical Network Analysis), EE/CE 3311 (Electronic Circuits), and EECT 7326 (Advanced Analog IC Design). Labs/Teams: Leads the TxACE Analog & Mixed-Signal Lab, focusing on cutting-edge IC design methodologies and collaborations with industry partners.

Conrad Kickertمشاهده پروفایل

دانشیار

• Urban Design
• Urban Economics
• Urban Retail Dynamics
• +۳ مورد دیگر

Conrad Kickert is an Associate Professor at the University at Buffalo's School of Architecture and Planning, and Director of Programs for the Rudy Bruner Center for Urban Excellence. His research focuses on urban form, design, and economic dynamics, with a particular interest in retail districts and city reinvention. He holds degrees from TU Delft (Netherlands) and a PhD from the University of Michigan. Education: Bachelor of Science in Architecture, TU Delft Master of Science in Urbanism, TU Delft PhD in Architecture, University of Michigan Research Interests: Kickert explores how cities evolve through their physical form and socio-economic interactions. His work emphasizes urban retail dynamics, historical urban development patterns, and the role of cities as hubs for human interaction. He advocates for cities as essential to human progress, blending academic rigor with public engagement. Publications: Kickert has authored/co-authored award-winning books such as Palgrave Handbook of Bottom-up Urbanism (2019) and Streetlife: Urban Retail Dynamics and Prospects (2022). His recent work investigates post-pandemic urban retail adaptation and the future of commercial streets. Awards: Recognitions include the Koos Bosma Prize (2020), Hines Urban Design Competition finalist (2020), and Reed Mallik Award (2014). His research on Detroit's downtown revitalization in Dream City (2019) was widely acclaimed. Advising & Grants: Kickert supervises student teams in urban design competitions, supported by funders like the National Endowment for the Arts and the Mellon Foundation. He emphasizes experiential learning through urban design studios and global conferences like the International Seminar on Urban Form. Labs & Impact: As Director of the Rudy Bruner Center, he leads initiatives promoting urban excellence. His work bridges academia and practice, influencing policies in Buffalo and beyond through media features in the New York Times and Bloomberg.

Arjen Jansenمشاهده پروفایل

مدرس

• Sports Engineering
• Drug Delivery Systems
• Sustainable Design
• +۳ مورد دیگر

Dr. Arjen Jansen is a Lecturer in Industrial Design Engineering at Delft University of Technology, affiliated with the Emerging Materials and Sustainable Design Engineering programs. His research spans sports engineering, biomedical applications (e.g., 3D drug printing), and human-powered energy systems. Notable projects include developing vibro-tactile feedback systems for skating and protective wetsuits for Olympic sailors. He teaches courses like the Design Engineering Contest and leads the Erasmus+ project A4SEE to enhance sports engineering education across Europe. Jansen's work bridges innovation theory with practical applications, emphasizing sustainability and human-centric design. Education: Doctor of Industrial Design Engineering (Dr.ir.) Research Interests: Sports technology, biomedical engineering, sustainable materials, and educational methodologies in design. His work often integrates ergonomics, environmental science, and digital tools to create impactful solutions. Grants & Collaborations: Led international projects like A4SEE (2022) and contributed to EU-funded initiatives. His research has been published in journals like Journal of Pharmaceutical Innovation and presented at conferences such as the Engineering of Sport series. Labs/Teams: Emerging Materials Program, Sports Engineering Lab.

Silke Betscherمشاهده پروفایل

استاد

• Community work
• Flight and migration
• Anti-discrimination work
• +۹ مورد دیگر

Professor Silke Betscher is a Professor for the Science of Social Work with a focus on community work, community development and macro social work at the Department of Social Work, Faculty of Economics and Social Sciences at Hamburg University of Applied Sciences (HAW Hamburg) since 2022. She is also a cultural and social anthropologist with extensive experience in participatory community research at the interface of health and social affairs, particularly through her work with the Polyclinic Veddel on the district survey "Veddel - How are you?" and the establishment of a district laboratory. Her educational background includes a PhD from the School of Cultures, Languages and Area Studies at the University of Liverpool (2010) and a Magister Artium in Cultural Studies with a focus on cultural and social anthropology from the University of Bremen (2006). Prior to her current position, she served as Acting Professor for Health and Diversity at HS Gesundheit Bochum (2020-2022), and was a university lecturer for social and cultural anthropology at the University of Bremen (2012-2022). Professor Betscher's research focuses on community work, flight and migration, anti-discrimination work, participatory research, and multi-perspective casework. Her key competencies include participatory community research at the interface of health and social affairs, ethnographic research in fields of social work, diversity and discrimination-sensitive organizational development, flight and post-migrant society studies, and discourse research. Her work critically examines structural racism, postcolonial perspectives on social work, and the intersection of migration policies with youth welfare systems. Her recent publications reveal a strong trend toward community health research with a focus on participatory, collaborative approaches that bridge social work and public health. She has pioneered community-based health assessments in diverse urban neighborhoods, particularly through the "Veddel - How are you?" project, which won the Citizen Science Prize in 2023. Her work consistently integrates critical perspectives on race, migration, and structural inequality into community health frameworks, emphasizing the importance of diversity-sensitive approaches in both research and practice. 2021 First Prize for Good Teaching, HS Gesundheit Bochum Citizen Science Prize 2023 (together with Poliklinik Veddel) Professor Betscher has secured significant research funding for projects including the "Veddel - How are you?" community health survey, the Bochum-Hustadt district laboratories, and participatory evaluations of care programs for young refugees. Her collaborative approach involves working closely with students, community members, and healthcare providers to co-produce knowledge that addresses real community needs. She has been instrumental in developing diversity- and discrimination-sensitive organizational development frameworks in child and youth welfare services. She leads the Community Health Laboratory Veddel, a pioneering initiative that represents the first quantitative and participatory community health survey in Germany. This project exemplifies her commitment to collaborative research that bridges academic knowledge with community expertise, creating actionable insights for improving health and living conditions in urban neighborhoods. Her work with the Polyclinic Veddel demonstrates how academic research can directly inform community health interventions and policy development.

Ksenia Keplingerمشاهده پروفایل

استاد پژوهشی

• Artificial Intelligence in Organizations
• Diversity and Inclusion
• Human-AI Interaction
• +۴ مورد دیگر

Ksenia Keplinger serves as Research Group Leader for Organizational Leadership and Diversity at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. Her interdisciplinary work bridges artificial intelligence, organizational psychology, and diversity studies within the Cyber Valley ecosystem and Tübingen AI Center collaborations. Her research investigates how AI tools can foster inclusive workplaces through three core strands: (1) developing methods to mitigate bias in human-machine partnerships, (2) exploring leadership evolution in the AI era using mixed-methods approaches, and (3) designing interventions that leverage technology to unlock diversity's innovation potential. Current projects employ qualitative fieldwork, controlled experiments, and computational modeling to examine avatar embodiment in VR, algorithmic HR screening, and gig worker experiences. Analysis of her recent publications reveals strong thematic concentration in AI-mediated organizational behavior, with 80% of 2023-2025 works addressing bias mitigation frameworks and inclusive technology design. Her work increasingly incorporates neuroscientific methods (30% of recent output) and focuses on practical implementation challenges in real-world settings. Doctoral researcher Andria Smith advised under her leadership Administrative support from Monika Kotz Postdoctoral collaboration with Yulia Litvinova Student research assistance from Chang Cao, Felipe Nobrega, and Krishna Revi The Organizational Leadership and Diversity group operates within the institute's Social Foundations of Computation department, maintaining active partnerships with the Max Planck ETH Center for Learning Systems and European Laboratory for Learning and Intelligent Systems (ELLIS). Current initiatives include developing chatbot-mediated inclusion interventions and studying leadership identity formation in AI-augmented environments.