جست‌وجوی استاد و پژوهشگر

• Case-Based Reasoning
• Artificial Intelligence
• Knowledge Management
• +۵ مورد دیگر

Professor Klaus-Dieter Althoff is a faculty member at the University of Hildesheim, working within the Intelligent Information Systems Division of the Mathematics, Natural Sciences, Economics & Computer Science school. His research focuses on applying artificial intelligence techniques, particularly case-based reasoning (CBR), to architectural design support systems and knowledge management applications. His research interests center on Case-Based Reasoning methodologies , AI-assisted architectural design , semantic building information modeling , and knowledge representation systems . Althoff's work bridges computer science with practical applications in architecture, developing systems that automate and enhance early-stage design processes through machine learning and case-based approaches. Analysis of his recent publications (2021-2024) reveals a strong trend toward integrating deep learning with traditional case-based reasoning for architectural applications. His research increasingly focuses on autocompletion of architectural spatial configurations , BIM (Building Information Modeling) enhancement , and explainable AI for design support . The work spans theoretical CBR methodology development and practical implementations in architectural design tools. Althoff maintains active research collaborations across disciplines, with publications spanning architecture, computer science, and cybersecurity applications of case-based reasoning. His work demonstrates consistent methodological development in CBR frameworks like FLEA and SEASALT, while expanding into new application domains including network security and fitness training systems.

Jesper Kraghمشاهده پروفایل

پژوهشگر

• Energy Consumption
• Life Cycle Assessment
• Indoor Climate
• +۶ مورد دیگر

Jesper Kragh serves as a Senior Researcher at Aalborg University's Department of Construction, Urban and Environmental Engineering within the Faculty of Engineering and Science. His work focuses on sustainable building practices with particular expertise in energy consumption analysis, environmental impact assessment (LCA), indoor climate optimization, and Legionella prevention in building systems. His research interests span Energy Consumption , Life Cycle Assessment , Indoor Climate , Ventilation Systems , and Legionella Prevention , with strong connections to building regulations and energy labeling schemes. His work integrates government consulting, academic research, and practical implementation in the Danish building sector. His publication trends reveal consistent focus on building sustainability, with recent articles emphasizing energy renovation economics , water system optimization , and carbon footprint reduction in construction. The 2023-2025 publications demonstrate increasing emphasis on data-driven approaches and regulatory compliance frameworks. Professional activities include active participation in technical committees including DS/S-316 (Heating and Cooling Systems), DS/S-313 (Ventilation in Buildings), and DS/S-314 (Water Supply), where he contributed to national standard development from 2020-2024. His media engagement demonstrates strong science communication, with 16 press appearances since 2019 addressing topics like energy renovation benefits , ventilation challenges in multi-story housing , and demolition patterns in Danish construction . Current projects through 2027 focus on Legionella prevention, sustainable ventilation solutions, and updating generic data for building regulations.

Daniele Dell'Aglioمشاهده پروفایل

دانشیار

• Computer Science
• Knowledge Graph Embedding
• Differential Privacy
• +۶ مورد دیگر

Daniele Dell'Aglio is an Associate Professor at the Department of Computer Science , Aalborg University , affiliated with the Technical Faculty of IT and Design . His research focuses on privacy-preserving data synthesis, knowledge graphs, and semantic data integration. Academic Rank: Associate Professor Department: Computer Science School: Technical Faculty of IT and Design University: Aalborg University Research Interests : Development of privacy metrics for synthetic data generation Heterogeneous graph representation in knowledge graphs Interactive evaluation tools for data privacy Transformer-based biomedical data extraction Integration of gut-brain axis scholarly data Scientific Awards : Best paper at the Deep Learning for Knowledge Graphs workshop (2022) Collaborative Projects include HEREDITARY (Heterogeneous semantic data integration for gut-brain interplay) as Principal Investigator, and partnerships with NASA on Mars exploration data processing. His work spans privacy-preserving technologies, knowledge graph engineering, and biomedical text mining applications.

• Occupational and Environmental Medicine
• Opioid Use Disorder
• Work Disability
• +۸ مورد دیگر

Marianne D. Cloeren, MD, MPH , is an Associate Professor at the University of Maryland School of Medicine , specializing in Occupational and Environmental Medicine . She coordinates resident rotations from multiple institutions, advises medical students, and develops interprofessional climate change education initiatives. Board Certified in Internal and Occupational Medicine Leadership roles in ACOEM, including Council on OEM Practice and Education Committee Key research areas: opioid use disorder, work disability, workers’ compensation, and climate change impacts on worker health Education : B.A., Biology and German, University of Pennsylvania M.D., Temple University School of Medicine M.P.H., Occupational Medicine residency, Johns Hopkins Certificate in Instructional Design, University of Wisconsin Her research focuses on opioid-related workplace barriers , return-to-work strategies , and telehealth adaptations . Recent articles examine climate change competencies , gig worker health , and long-term effects of occupational exposure in industries like construction and nuclear energy. Scientific Awards : ACOEM Meritorious Service Award (2023) Thread.org Outstanding Coach Award (2019) ACOEM Outstanding Achievement Award (2017) USDLA Bronze Award (2012) Grants include Maryland Opioid Operational Command Center funding for naloxone distribution and VA grants for depleted uranium surveillance. She led the Operation PROSPER initiative addressing employment readiness in recovery patients.

• Fuzzy Mathematics
• Sequence Spaces
• Fractional Differential Equations
• +۱ مورد دیگر

Zarife Zararsız is affiliated with Nevşehir Hacı Bektaş Veli University , contributing to research in fuzzy mathematics, fractional differential equations, and medical informatics. Her work bridges theoretical mathematics and applied health sciences, particularly through transformations of physiological data into fuzzy sets. Research Interests: Focus on fuzzy logic, almost convergence, and numerical methods for solving fractional differential equations. Her interdisciplinary applications include entropy analysis in ECG data for sport animals. Publications: Recent works (2016–2019) explore perturbation-iteration algorithms for fuzzy PDEs, entropy measurement in biological systems, and foundational contributions to sequence space theory.

Justin Kernمشاهده پروفایل

دانشیار

• Educational Measurement
• Psychological Measurement
• Item Response Theory (IRT)
• +۶ مورد دیگر

Justin Kern is an Associate Professor in the Department of Educational Psychology at the University of Illinois, Urbana-Champaign . He earned his Ph.D. in Quantitative Psychology (2017) and holds additional graduate degrees in Psychology and Statistics. His research focuses on educational and psychological measurement with emphasis on item response theory (IRT) , Bayesian statistical methods , and multivariate data analysis . Research Themes Item Response Theory (IRT) and extensions Computerized Adaptive Testing (CAT) Four-parameter IRT models Response time modeling Measurement invariance Bayesian estimation techniques Recent Publications His recent work (2025-2020) spans topics in educational measurement , psychological testing , and family behavior analysis . Key trends include: Development of IRT-based frameworks for health survey data Investigations into extreme response styles using IRTree models Advancements in four-parameter IRT modeling Applications of Bayesian methods in test construction Analysis of father involvement in early intervention Collaborations Kern collaborates across disciplines with researchers in psychology , statistics , healthcare informatics , and special education . His work has been supported by grants from the Institute for Education Sciences and NICHD .

• Patient Safety
• Patient Engagement
• Human Factors Engineering
• +۴ مورد دیگر

Dr. Amro N. Khasawneh serves as Assistant Professor of Industrial Engineering in Mercer University's School of Engineering since 2022. Previously, he held faculty positions at the University of North Carolina's Department of Radiation Oncology and was a Research Fellow at Johns Hopkins University's Armstrong Institute, establishing expertise in healthcare systems engineering. His educational credentials include: PhD in Industrial Engineering from Clemson University (2019) MS in Industrial Systems Engineering from Binghamton University (2016) BSE in Industrial Engineering from Jordan University of Science & Technology (2015) Dr. Khasawneh's research centers on human factors engineering applications in healthcare , with primary focus on patient safety and patient engagement . His work integrates Virtual Reality training systems , human-robot interaction , and behavioral modeling to optimize healthcare delivery, teleoperated systems, and online decision-making environments. This interdisciplinary approach bridges engineering principles with clinical practice. His extensive publication record (>30 articles) reveals strong trends in healthcare innovation, with recent work emphasizing VR applications for mental health, telemedicine systems, and web accessibility compliance. These publications span high-impact venues including Human Factors , JMIR , and Automation in Construction , demonstrating consistent contributions to engineering healthcare solutions. Notable recognitions include: Innovation Pilot Award from UNC Chapel Hill's Center for Health Innovation (2022) Student Member with Honors from Human Factors and Ergonomics Society (2019) Multiple Graduate Student Travel Awards from Clemson University (2018-2019) Best Paper Award from IISE's Supply Chain Division (2016) Dr. Khasawneh actively mentors undergraduate researchers through Mercer's service-learning initiatives and VR projects, with numerous student co-authors on publications. His Innovation Pilot Award demonstrates successful grant acquisition for healthcare system improvements. Current projects include international collaborations in Belize through Mercer on Mission and VR meditation applications for academic stress reduction. He leads interdisciplinary teams focused on healthcare technology development, including ADA compliance evaluations for telehealth platforms and field-based bacterial testing methodologies in developing regions, reflecting his commitment to practical engineering solutions for global health challenges.

• Artificial Intelligence
• Robotics
• Sensitivity Informatics
• +۷ مورد دیگر

Professor Shohei Kato holds a primary appointment at Nagoya Institute of Technology's Graduate School of Engineering (Omohi College) and serves as a Visiting Researcher at the National Center for Geriatrics and Gerontology. His career includes prior roles as Associate Professor at Nagoya Institute of Technology (2002–2015), Lecturer at Toyota National College of Technology (1999–2002), and Research Assistant (1998–1999). He earned his Doctor of Engineering from Nagoya Institute of Technology, where he also completed undergraduate studies in Electrical and Computer Engineering. Kato's research integrates artificial intelligence, robotics, and affective computing, with applications spanning healthcare, optimization, and human-machine interaction. Key themes include kansei (sensitivity) robotics, computational intelligence, dementia screening via speech/fNIRS analysis, and multi-agent systems. His work emphasizes adaptive algorithms, emotion modeling, and real-world AI deployment. Recent publications focus on sim-to-real transfer learning, reinforcement learning for multi-agent cooperation, and non-invasive dementia diagnosis. A consistent trend involves applying particle swarm optimization and deep learning to industrial and biomedical challenges, such as shield tunneling automation and EEG-based emotion recognition. Awards & Honors: Minister of Education Commendation for Science and Technology (2015) IEEE Outstanding Paper Awards (GCCE 2017, 2018) 日本感性工学会論文賞 (2012) Multiple Workshop on Informatics (WiNF) prizes for student collaboration (2011–2020) Kato leads externally funded projects on dementia screening, affective robotics, and optimization algorithms. He directs the Kato Lab (katolab.nitech.ac.jp), collaborating with entities like Shimizu Corporation on AI-driven construction planning. His team explores human-robot symbiosis, BCI interfaces for Duchenne muscular dystrophy patients, and therapy robot design.

Richard Scherlمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Automated Reasoning
• +۸ مورد دیگر

Richard Scherl is an Associate Professor in the Department of Computer Science and Software Engineering at Monmouth University, where he has been teaching since 2002. His office is located in James and Marlene Howard Hall 222. Education: Ph.D. in Computer Science, University of Illinois M.A. & Ph.D. in Anthropology, University of Chicago Diploma in Tamil Research, Madurai University (India) Research Interests: Professor Scherl's primary research focuses on logic-based knowledge representation and automated reasoning using formal frameworks like situation calculus. His work bridges Artificial Intelligence with Natural Language Processing , Cognitive Science , and Computational Social Sciences to model common sense knowledge, linguistic context, conversational actions, and socio-cultural phenomena. He investigates how reasoning systems integrate database structures with natural language semantics while addressing philosophical and anthropological dimensions of knowledge construction. Publications: His scholarly output demonstrates a consistent trajectory in formalizing context-aware reasoning systems. Recent works (2022) develop situation calculus models for knowledge, belief, and conversation, while earlier research (2015-2010) explores socio-cultural inference from text, semantic classifiers for big data, and epistemic planning. The publications reveal an interdisciplinary methodology connecting AI with linguistics and social sciences, yielding applications in homeland security, social computing, and narrative analysis. Awards: No scientific awards were mentioned in the provided information. Advising and Grants: The available documentation does not specify details regarding student advising or research grant funding. Labs and Teams: No information about dedicated research laboratories or collaborative teams was provided in the source materials.

• Geometry processing
• Massive model rendering
• Procedural generation
• +۴ مورد دیگر

Antonio Chica is an Associate Professor at the Department of Computer Science, Universitat Politècnica de Catalunya (UPC), specializing in geometry processing, real-time rendering, and virtual reality applications. His research focuses on 3D reconstruction, procedural landscape generation, and LiDAR data optimization. Teaching at Terrassa School of Engineering and Barcelona School of Informatics Member of the Modeling, Visualization, Interaction and Virtual Reality Group Key research areas include: Geometry processing techniques for signed distance fields Procedural generation of 3D landscapes and vegetation Game development frameworks and VR training systems Efficient algorithms for massive point cloud rendering His recent publications emphasize Bayesian reconstruction methods, adaptive SDF approximations, and optimized VR training tools. He actively collaborates on LiDAR data calibration, terrain modeling, and cultural heritage visualization projects. Antonio Chica's work integrates advanced graphics algorithms with practical applications in urban modeling, medical training, and historical preservation. He develops open-source tools like MeshPipe to simplify geometry processing workflows.

Emmanuel Duplàaمشاهده پروفایل

استاد

• Educational Technologies
• Cyberlearning
• Digital Literacies
• +۳ مورد دیگر

Emmanuel Duplàa is a Full Professor at the Faculty of Education , University of Ottawa, specializing in Educational Technologies , Digital Literacies , and E-learning Design . He collaborates with the School of Engineering and Information Technology on educational video games and investigates intergenerational learning through digital media. Ph.D. , Sciences de l'éducation, Université du Maine (2006) M.S.2. , Informatique et logiciels éducatifs, Université du Maine (2001) M.S.1. , Sciences cognitives, Université de Bordeaux 2 (2000) B.A. , Mathématiques et sciences sociales, Université de Bordeaux 2 (1998) His research focuses on serious games for seniors , intergenerational digital engagement , and ergonomic design in e-learning . His work addresses social inequalities in digital access and parental roles in remote learning. Recent articles highlight his exploration of digital narrative gerontology and cognitive benefits of gameplay. Key projects include studies with INRIA , Télécom-Paristech , and Téluq , emphasizing user-centered design and informal learning. He supervises Béatrice Crettenand Pecorini and Jean-Luc Ciocca .

• information systems
• knowledge management
• open innovation
• +۷ مورد دیگر

Isabel Maria Pinto Ramos is an Associate Professor with Habilitation at the Department of Information Systems, School of Engineering, University of Minho , where she leads the ISTTOS R&D Lab and contributes to the Algoritmi Research Centre . She has held leadership roles including Head of Department of Information Systems and President of the Portuguese Association for Information Systems . Her career spans academic, research, and international collaboration roles, including a Visiting International Professor position at the University of Münster, Germany. Academic Leadership : Doctoral Programme Director (2014-2019), IFIP TC8 Chair (2019-2023), Vice President for Membership Services at Association for Information Systems (2022-2025) Research Themes : Innovation management, knowledge systems, digital transformation, crowdsourcing, organizational memory, gender in STEM, and technology's socio-cultural impacts International Engagement : Collaborations with Carnegie-Mellon, University of Agder, Georgia State, and Federal University of Santa Catarina through research projects and mobilities Scientific Recognition : IFIP Outstanding Service Award (2009) IFIP Silver Core Award (2013) IIAKM Lifetime Academic Achievement (2021) Editorial Contributions : Associate Editor for Communications of the AIS (since 2020), editorial board member for Enterprise Information Systems , International Journal of Knowledge Engineering , and Revista de Administração Mackenzie Project Involvement : ERASMUS+, Horizon 2020, FP7 programs with focus on digital workplaces, knowledge management, and organizational resilience Her scientific output demonstrates consistent exploration at the intersection of Information Systems and Organizational Innovation , with recent works focusing on Digital Transformation (2021-2025), Crowdsourcing Platforms (2009-2016), and Organizational Memory (2005-2014). The 2023-2025 publications particularly emphasize Smart City Resilience , Multigenerational Workforce Challenges , and AI Development Democratization .

• Synthetic Organic Chemistry
• Bioorganic Chemistry
• Structural Organic Chemistry
• +۸ مورد دیگر

Nobuhiro Kanomata is a Professor at the Faculty of Science and Engineering, Waseda University , where he has held positions since 2007. He earned a Doctor of Engineering from Waseda University in 1990 and completed postdoctoral work at the University of Chicago (1990-1992). His affiliations include the Waseda Research Institute for Science and Engineering and the Global Education Center . Education: Doctoral Program in Applied Chemistry, Waseda University (1987-1990) Research Institute: Waseda Research Institute for Science and Engineering (2024-2026) Research Interests focus on synthetic organic chemistry with emphasis on planar-chiral molecules. His work spans bioorganic chemistry , structural/physical organic chemistry , and CO2 capture materials . He pioneered asymmetric cyclopropanation reactions using planar-chiral pyridinium ylides and studied crystallization-induced asymmetric transformations for stereocontrol. His scientific awards include the Incentive Award (2002) and Banyu Award (1997) in Synthetic Organic Chemistry, Japan. His 15 most recent articles (2018-2024) explore topics like CO2-absorbing agents , planar-chiral catalysts , asymmetric pheromone synthesis , and strain-promoted click reactions . These publications demonstrate a consistent focus on stereoelectronic effects , molecular design , and environmental chemistry applications . Key Collaborations: RIKEN Institute (1994-2006), National Institute of Informatics (2003-2005) Leadership: Served on multiple committees for the Chemical Society of Japan (2002-2008)

Doug Hardinمشاهده پروفایل

استاد

• Discrete minimum energy problems
• Inverse Problems
• Wavelets
• +۷ مورد دیگر

Doug Hardin is a Professor of Mathematics and Professor of Biomedical Informatics (secondary) at Vanderbilt University, where he has been employed since 1986. He holds a Ph.D. in Mathematics from the Georgia Institute of Technology (1985) and has built a distinguished career in applied and computational mathematics. His educational background includes: Ph.D., Mathematics, Georgia Institute of Technology, 1985 M.E.E., Electrical Engineering, Stanford University, 1982 B.E.E. (with highest honors), Electrical Engineering, Georgia Institute of Technology, 1980 Hardin's research lies at the intersection of pure and applied mathematics, with strong applications in data science and biomedicine. His primary interests include discrete minimum energy problems, inverse problems, wavelets, and machine learning in bioinformatics. He has made foundational contributions to the theory of energy-minimizing point configurations on manifolds and the construction of wavelets using fractal interpolation functions. His work in machine learning, particularly on support vector machines, has been applied to cancer diagnosis and genomic marker selection. The trends in his publications reveal a deep and consistent focus on mathematical methods for energy minimization, asymptotic analysis, and wavelet theory, with increasing applications to biomedical informatics and geoscience. His most recent work includes inverse problems in magnetization, relevant to geoscience, and feature selection in SVM models for biomedical data. His notable scientific awards and honors include: Vanderbilt University Chancellor’s Research Award (2005) Associate Editor, Mathematics of Computation (2011–present) Former Tennessee State Director for the Southeastern Section of the Mathematical Association of America (MAA) Hardin has advised numerous students and collaborators, many of whom are co-authors on his publications. He has served in visiting roles at the University of Dundee and Sandia National Laboratory, and he organized the 2016 Shanks Workshop on inverse magnetization problems, indicating active leadership in his field. He has not received any external grants explicitly mentioned in the text, but his sustained publication record and editorial role suggest significant research activity. He is affiliated with the Department of Mathematics at Vanderbilt University, and his work bridges mathematical theory with applications in biomedical informatics and geoscience through interdisciplinary collaboration.

Evanthia Galanisمشاهده پروفایل

استاد

• Oncolytic Virotherapy
• Cancer Gene Therapy
• Neuro-Oncology
• +۱۲ مورد دیگر

Evanthia Galanis, M.D., is a Professor of Oncology at Mayo Clinic in Rochester, Minnesota, with joint appointments in the Department of Oncology (Division of Medical Oncology) and the Department of Molecular Medicine. She is a leading clinician-investigator in the fields of oncolytic virotherapy and neuro-oncology, with a focus on translating novel gene and virus-based therapies into clinical applications for solid tumors, particularly glioblastoma and ovarian cancer. Executive Dean for Development, Mayo Clinic (2019–present) Co-chair, Glioblastoma Working Group, National Cancer Institute (2015–present) Chair, Neuro-Oncology Committee, Alliance for Clinical Trials in Oncology (2011–present) Leader, Gene and Virus Therapy Program, Mayo Clinic Comprehensive Cancer Center (2012–2020) Chair, Department of Molecular Medicine, Mayo Clinic (2009–2019) Dr. Galanis earned her M.D. and D.Sc. from Athens University School of Medicine and completed her residency and fellowship training in Hematology/Oncology at Mayo Clinic. She is board-certified by the American Board of Internal Medicine in Medical Oncology. Her research is centered on engineering oncolytic measles virus derivatives to target cancer cells, enhance immune response, and improve delivery through innovative strategies such as cell-mediated carriers. She has led numerous Phase I and II clinical trials, including the first human use of measles virus in brain and ovarian cancers. Her work is supported by the National Cancer Institute and integrated into multiple Mayo Clinic SPORE programs. Recent publications highlight her leadership in advancing oncolytic virotherapy, with key themes including viral retargeting, combination therapies with checkpoint inhibitors and radiation, immunomodulation, and clinical trial design in neuro-oncology. Her articles reflect a strong emphasis on translational innovation, molecular engineering, and patient-centered outcomes. Dr. Galanis has received numerous honors, including: Distinguished Mayo Clinic Investigator Award (2020) Victor Levin Award for Achievement in Neuro-Oncology (2023) Sandra J. Schulze Professorship (2013–present) Election to the American Society for Clinical Investigation (2011) Professor Honoris Causa, National and Kapodistrian University of Athens (2023) She has served as principal or co-investigator on multiple NIH-funded grants and collaborative trials through the Alliance for Clinical Trials in Oncology. Her mentorship and leadership have shaped the development of novel therapeutic platforms and the training of future physician-scientists. She is actively involved in advancing structured oncology data systems and innovative trial designs to improve cancer care. Dr. Galanis leads or participates in several research teams and programs, including: Gene and Virus Therapy Program, Mayo Clinic Comprehensive Cancer Center Brain Cancer SPORE Ovarian Cancer SPORE Breast Cancer SPORE David F. and Margaret T. Grohne Cancer Immunology and Immunotherapeutics Program Alliance for Clinical Trials in Oncology – Neuro-Oncology Committee