جست‌وجوی استاد و پژوهشگر

Nadia Benakliمشاهده پروفایل

استاد

• Geometric Group Theory
• Graph Theory
• Mathematics Education
• +۳ مورد دیگر

Dr. Nadia Benakli is a Professor of Mathematics at New York City College of Technology (City Tech), part of the City University of New York system, within the School of Arts & Sciences. She coordinates the Computer Science and Applied Mathematics internship programs, bridging academic theory with industry practice. Her career spans decades of contributions to both pure mathematics and educational innovation. Her educational foundation includes a Ph.D. in Mathematics from Paris-Sud University, France. Research interests center on Geometric Group Theory (hyperbolic groups, Coxeter groups, polygonal complexes), Graph Theory , and Mathematics Education innovations. She integrates computational tools like R and Maple into calculus and data analysis instruction, emphasizing visualization and hands-on projects to enhance student comprehension in foundational mathematics courses. Publication trends reveal an evolution from theoretical work (1991-2002) on geometric structures to applied educational research (2011-2017). Early papers established frameworks for hyperbolic geometry and group boundaries, while recent work focuses on computational thinking, faculty mentoring models, and internship program design—demonstrating her commitment to translating abstract mathematics into practical educational strategies. As internship coordinator, she mentors students through industry placements and co-developed SIAM News-published frameworks for applied mathematics internships. Her teaching portfolio spans foundational courses (MAT065, MAT1175) to advanced topics (MAT440, MAT4901), reflecting deep engagement with curriculum development across all undergraduate levels.

Amy J. Koمشاهده پروفایل

استاد

• Computing Education
• Human-Computer Interaction (HCI)
• Equity & Justice in Computing
• +۶ مورد دیگر

Amy J. Ko is a Professor and Associate Dean for Academics at the Paul G. Allen School of Computer Science & Engineering and The Information School at the University of Washington, Seattle . She serves as Editor-in-Chief of ACM TOCE , co-directs Reciprocal Reviews and CS for All Washington , and leads the CENSOR Research Lab . Her work prioritizes equitable, liberatory computing education , bridging human-computer interaction and social justice . Research Focus: Equity in CS education, AI literacy, inclusive design, developer productivity, and ethical technology use Awards: Best Paper Award (2024, 2022) Diversity + Inclusion Award (2024) Most Influential Paper Honorable Mention (2014) Honorable Mention (2024, 2023) Publications: Over 184 works spanning program comprehension, assessment design, ethical pedagogy, and democratizing computing education Books: Foundations of Information , Critically Conscious Computing , and Teaching Accessible Computing Her Google Scholar profile reflects citations under her deadname, which she advocates to correct. She emphasizes student agency and community collaboration , particularly with marginalized groups in computing spaces.

• Customer Orientation
• Corporate Identification
• Marketing
• +۵ مورد دیگر

Dr. Todd Donavan is an Associate Professor in the Department of Marketing at Colorado State University's College of Business. His research focuses on customer orientation and identification, exploring how personality traits and environmental factors influence employee and customer behavior. Customer Orientation: Investigates traits predicting CO disposition and its benefits for organizational commitment and satisfaction. Identification: Analyzes drivers of customer and employee identification with firms, including personality and situational factors. Todd teaches principles of marketing and a sports marketing seminar, collaborating with the Denver Nuggets to provide students practical industry experience and contribute to a marketing scholarship. His recent publications examine service recovery, brand endorsement dynamics, and statistical methodologies. Notable trends in his research include the interplay between employee traits and customer satisfaction, social identification in sports marketing, and methodological advancements in factor analysis. He has also developed software tools for statistical research.

Jana Fortesمشاهده پروفایل

مدرس

• Signal Processing
• Localization Technology
• Tracking Systems
• +۳ مورد دیگر

Jana Fortes is a Lecturer at the Faculty of Electrical Engineering and Informatics, Technical University of Košice, Slovakia. She teaches Applied Statistics, Cryptography, and Mathematics courses, including Numerical Mathematics and Probability and Statistics. Her research focuses on signal processing for localization and tracking systems using Ultra-Wideband (UWB) radar and sensor networks. Teaching: Applied Statistics, Cryptography, Mathematics I/II, Numerical Mathematics, Probability and Statistics, Mathematics Tutoring Research: UWB radar signal processing for person localization and tracking, software development (MATLAB, LabVIEW), cluster analysis for movement detection. Publications: Recent work includes studies on 2D/3D localization algorithms, UWB sensor system implementations, and mathematical analyses of graph crossing numbers. Contact: Email: jana.fortes@tuke.sk , Room N32 615, Phone: +421 55 602 3252.

Jun Yangمشاهده پروفایل

مدرس ارشد

• Chinese linguistics
• second language acquisition
• discourse analysis
• +۲ مورد دیگر

Jun Yang is a Senior Lecturer in Chinese Language at the Department of East Asian Languages and Civilizations, University of Chicago. He serves as Director of the Chinese Language Program and focuses on pedagogy, linguistics, and language evaluation. His work bridges theoretical and applied research in language acquisition and teaching methodologies. University: University of Chicago School: East Asian Languages and Civilizations Role: Director of Chinese Language Program His research interests span Chinese linguistics , second language acquisition , discourse analysis , and Chinese language pedagogy . These areas are reflected in his leadership and instructional strategies within the Chinese language curriculum. Jun Yang’s publication record includes 14 recent articles (2017–2022) focused on optimizing database-backed web applications. Key themes involve automated code refactoring , schema management , reinforcement learning for data pipelines , and performance bug detection . These works emphasize tools for improving software reliability and efficiency in distributed systems and IDE environments. Jun Yang holds a Ph.D. in Second Language Acquisition and Teaching, underscoring his expertise in language education. His email address is yangj@uchicago.edu , and he is based at Classics 416, 1010 E 59th St, Chicago, IL 60637.

Stefan Smolnikمشاهده پروفایل

استاد

• Knowledge Management
• Collaboration Systems
• Social Software
• +۴ مورد دیگر

Stefan Smolnik is a University Professor at the FernUniversität in Hagen since 2013, affiliated with the Faculty of Business Administration and Economics . His academic career includes roles as Track Chair at the Hawaii International Conference on System Sciences (2025), Vice Rector for Research and Digitalization (2022-2025), and Head of the Institute of Research on Information Systems at EBS Business School (2012-2013). Education: Doctorate in Knowledge Management with Topic Maps (2005, University of Paderborn); Diploma in Computer Science (1998, University of Paderborn) Stefan's research focuses on Knowledge Management , Collaboration Systems , eLearning , and the Use and Success of Information Systems . His recent work explores digital health applications, smart city technologies, and AI-driven knowledge flows, with publications analyzing telemedicine adoption, gamified mobility systems, and neurophysiological impacts on digital work. Key trends in his 15 most recent publications (2023-2025) include: Integration of AI and NeuroIS in workplace design Smart city solutions for mobility , waste management , and sustainability Knowledge sharing in healthcare teleconsultations and professional services Maturity models for small/medium smart cities Emotional dimensions in knowledge management research Scientific recognition includes the Best Paper Award at the 4th Conference on Professional Knowledge Management (2007) and frequent participation in top-tier conferences like ICIS and HICSS . His work bridges information systems , organizational behavior , and urban digitalization .

Diego di Bernardoمشاهده پروفایل

استاد

• Genomic Medicine
• Systems and Synthetic Biology
• Biomedical Engineering
• +۴ مورد دیگر

Diego di Bernardo is a Full Professor of Biomedical Engineering at the University of Naples Federico II and Principal Investigator at TIGEM, serving as Coordinator of the Genomic Medicine Program and Head of the Bioinformatics Core. His work bridges engineering and biological sciences to advance disease understanding and therapeutic development. His educational background includes a Laurea cum laude in Electronic Engineering from the University of Naples Federico II (1997) and a PhD in Medical Physics from the University of Newcastle School of Medicine (2001), funded by a European Commission Marie Curie Fellowship. Postdoctoral training followed at the Wellcome Trust Sanger Center and Boston University. Di Bernardo's research integrates Biomedical Engineering, Control Engineering, and Molecular Biology to pioneer Biomolecular Control. His lab develops microfluidics platforms for real-time cellular analysis and computational approaches for gene network reverse engineering and drug repositioning. Current work focuses on single-cell transcriptomics to combat drug resistance in cancer and engineer stress-response pathways for bioproduction optimization. His publication record demonstrates consistent innovation in computational biology, with recent work emphasizing pan-cancer transcriptomics, microfluidics-based cell control, and bioinformatics tool development for pathway analysis. The research trajectory shows increasing integration of engineering principles with genomic medicine. Scientific recognition includes: Marie Curie Fellowship He advises PhD students including Clarissa Poles and Virginia Fusco, leading a multidisciplinary team of postdocs and bioinformaticians. Major funding sources include Telethon, AIRC, Italian Ministries, HFSP, and EU programs such as Re-MEND (2023-2027) for mental health resilience and iPC (2019-2023) for pediatric cures. His TIGEM laboratory operates cutting-edge microfluidics and bioinformatics facilities to engineer living systems, with current projects targeting super-producer cell lines for biological drugs and viral vectors while reducing production costs through stress-response re-engineering.

• Digital Twins
• Heavy Civil Engineering
• Construction Logistics
• +۴ مورد دیگر

Anne Fischer, M.Sc., is a researcher at the Chair of Material Handling, Material Flow, and Logistics at the Technical University of Munich (TUM). Her work focuses on digital twins, construction automation, and resource scheduling in heavy civil engineering. She is based in Garching near Munich and collaborates with institutions like UC Berkeley and Stanford University. Research Interests: Digital Twin frameworks, simulation-based optimization, BIM integration, activity recognition in construction, and sustainable logistics systems. Collaboration: Serves as a contact person for international exchanges with U.S. institutions. Publication Trends: Her recent articles (2024–2021) address construction automation, digital twin applications, and variability management in civil engineering projects. Key Projects: Engaged in initiatives like Bauen 4.0 , MiProcess2Twin , and SiteRoute , which focus on digitalization and automation in construction. Location: Boltzmannstraße 15, Garching bei München (Room: 5505.EG.501).

Petri Niemiمشاهده پروفایل

پژوهشگر

• Supply Chain Management
• Operations Management
• Logistics
• +۴ مورد دیگر

Petri Niemi is a Researcher at LUT University within the School of Engineering Sciences , specifically affiliated with the Industrial Engineering and Management (IEM) department. His work spans interdisciplinary domains, linking engineering with business practices. Current research focuses on soil science and agricultural management, particularly analyzing soil pore structure, microbial interactions, and long-term agricultural impacts. His earlier contributions center on supply chain management, logistics optimization, and educational pedagogy, including experiential learning frameworks and student guidance systems. Research Trends: Recent publications highlight sustainable soil management and pore dynamics, while earlier works emphasize knowledge development in supply chains and logistical service innovation. His expertise bridges quantitative analysis, organizational behavior, and user-centric design. Education & Practice: While formal educational details are not public, his pedagogical involvement includes student guidance and curriculum development for secondary and higher education programs.

Paul M. Karabinosمشاهده پروفایل

استاد

• Structural Geology
• Appalachian Geology
• Orogeny
• +۴ مورد دیگر

Paul M. Karabinos is the Charles L. MacMillan Professor of Natural Sciences in the Department of Geosciences at Williams College, where he has been a faculty member since 1983. He holds an endowed professorship recognizing his significant contributions to geological sciences and education. His academic career at Williams progressed from Assistant Professor (1983-1990), to Associate Professor (1990-1995), to full Professor (1995-2012), and he served as Department Chair from 2006-2012 before receiving his current named professorship. B.S. from University of Connecticut (1975) Ph.D. from Johns Hopkins University (1981) Postdoctoral Fellow at Harvard University (1981-1983) Visiting Scholar at Doshisha University, Kyoto, Japan (1993) Professor Karabinos specializes in structural geology and Appalachian tectonics, with particular expertise in the Taconic orogeny, metamorphism, and geochronology. His research has significantly advanced understanding of gneiss dome formation, thrust faulting mechanisms, and the tectonic evolution of the New England Appalachians. He has developed innovative approaches to 3D geological visualization using SketchUp, creating interactive educational tools that transform how structural geology concepts are taught. His work combines field mapping, microstructural analysis, and geochronological techniques to unravel complex deformation histories. Analysis of Karabinos' recent publications reveals a strong focus on integrating traditional geological fieldwork with digital visualization technologies. His research spans fundamental tectonic questions about Appalachian evolution while simultaneously developing educational tools that make structural geology concepts more accessible. A significant thread throughout his work involves studying the Chester Dome, Berkshire Massif, and Mount Greylock as natural laboratories for understanding orogenic processes. His publications demonstrate consistent productivity with a notable shift toward developing interactive 3D models for both research and educational purposes in his later career. Professor Karabinos has mentored over 35 undergraduate research students at Williams College, many of whom completed senior theses under his guidance. His dedication to undergraduate education is evident in his development of field-based courses and innovative teaching tools. He has received support for his research through various grants that have enabled sustained field investigations in the Appalachian region and the development of his digital visualization projects. His research involves extensive field work in the Berkshire Massif, Chester Dome, and Mount Greylock areas, often utilizing student researchers. Karabinos has developed the SketchUp Structural Geology Studio, which provides interactive 3D models for teaching structural geology concepts. His work on the Day Mountain thrust sheet and graphite redistribution in pelitic schists represents ongoing field-based research projects that integrate undergraduate students in meaningful research experiences.

Nikolaos Efkolidisمشاهده پروفایل

استادیار

• Computational Design
• Digital Fabrication
• Product Design
• +۴ مورد دیگر

Nikolaos Efkolidis is an Assistant Professor at the University of Western Macedonia in the Department of Product and Systems Design Engineering . He is a member of the Computational Design and Digital Fabrication Research Lab ( codeplus.uowm.gr ) and co-founder of the design studio heptahedron.studio . Research Focus : Computational design, digital fabrication, AI-driven optimization, and sustainable product development. Key Techniques : Response Surface Methodology (RSM), Genetic Algorithms, Finite Element Analysis (FEA), and Additive Manufacturing. His recent publications highlight trends in multi-material 3D printing , machine learning for machining processes , and user-driven customization . Applications span footwear, marine robotics, and industrial design.

• Artificial Intelligence
• Machine Learning
• Big Data
• +۵ مورد دیگر

Lingjia Tang is an Assistant Professor in Computer Science with expertise in artificial intelligence, machine learning, big data, and no-code automation. Her research focuses on developing machine learning algorithms for medical data analysis and advancing no-code automation tools to democratize technology access. Research Interests Artificial Intelligence & Machine Learning Big Data Analytics & Graph-Based Retrieval No-Code Automation & User-Centric Systems Data Quality & Ethical AI Considerations Scientific Contributions With over 20 publications in prestigious journals, Dr. Tang's recent work explores: Graph-based retrieval frameworks (GraphRunner, TOBUGraph) LLM calibration and evaluation (SLMEval) Memory subsystem optimization in datacenters Meaning-typed programming paradigms Multi-agent conversational AI systems Awards 2023 Award for contribution to machine learning technologies Teaching Dr. Tang teaches courses in artificial intelligence, algorithms, and computational theory with a dynamic interactive approach. Current Projects Machine learning algorithms for medical diagnosis No-code automation tools for non-technical users

Curtis L Coleمشاهده پروفایل

دانشیار بالینی

• Medical Informatics
• Health Information Technology
• Electronic Health Records
• +۷ مورد دیگر

Curtis L Cole is a Clinical Associate Professor at Weill Cornell Medicine (Cornell University) with appointments in Population Health Sciences (2020-present), Libraries and Information Technology (2019-present), and Medicine (2006-present). As Chief Information Officer (CIO), he directs the Wood Library, core IT infrastructure, software development, telephony, and enterprise applications including EMRs, research systems, and the ERP. His leadership spans implementation of clinical information systems across outpatient/inpatient EMRs, diagnostic platforms, and revenue cycle systems, plus development of Weill Cornell's data dictionary (TruData©) and clinical data warehouse. His educational background includes: A.B. from Bowdoin College (1986) M.D. from Cornell University Medical College (1994) Leadership Development of Physicians in Academic Health Centers at Harvard University (1999) Executive Development Program at Kellogg School of Business, Northwestern University (2002) Dr. Cole's research centers on medical informatics with emphasis on secondary use of EMR data for research, genomic data integration into EHRs for precision medicine , and practical technology solutions for healthcare improvement. He pioneered Weill Cornell's clinical genomic information system enabling live whole-exome data feeds into EMR and co-developed the Insight Clinical Data Research Network aggregating NYC academic medical center data. His work investigates prescribing error reduction, patient safety alerts, physician productivity metrics, and patient portal impacts, consistently bridging technical innovation with clinical applicability. Analysis of his 15 most recent publications reveals three dominant trajectories: (1) AI-driven clinical innovation (e.g., patient reidentification, evidence synthesis), (2) EHR optimization for research (e.g., data linkage, race data quality, cohort discovery), and (3) research infrastructure (e.g., federated networks, electronic consent systems). His work demonstrates increasing focus on ethical AI deployment and genomic data integration, with practical applications in precision medicine and clinical trial support. Scientific recognition includes: David B. Skinner Award for Administrative Stewardship (1996, 1998) from New York Presbyterian Hospital Dr. Cole serves as Principal Investigator for the David Rogers Health Policy Colloquium (Robert Wood Johnson Foundation, 2022-2032) and sits on the AHRQ Health Information Technology Research Study Section. He actively mentors students and faculty in developing clinical technology solutions despite no specific advisees listed in the text. Current grant work focuses on health policy frameworks and genomic data integration infrastructure. He leads Weill Cornell's clinical data infrastructure team, directing development of TruData©, the i2b2 instance, and novel research data repository services. His group implemented the first live whole-exome data feed into EMR and supports the multi-institutional Insight Clinical Data Research Network. Current initiatives include expanding EHR capabilities for precision medicine and developing AI tools for clinical evidence synthesis while addressing ethical constraints.

• Historical Climatology
• Climate Dynamics
• Atmospheric Circulation Reconstruction
• +۴ مورد دیگر

Prof. Dr. Stefan Brönnimann serves as a Professor and Unit Leader of Climatology at the Institute of Geography, University of Bern. His extensive research portfolio spans historical climatology, climate dynamics, and atmospheric circulation reconstruction, with particular focus on the past 400 years. He plays a leadership role in major international climate initiatives including the IPCC assessment reports and various climate reanalysis projects. Brönnimann's research centers on reconstructing historical weather and climate patterns through the innovative combination of early instrumental data, proxy records, and climate models. His work examines large-scale climate variability, interannual-to-decadal atmospheric circulation patterns, volcanic eruption effects on climate, and climate-society interactions. His methodologies often involve transforming historical documents into usable climate datasets and applying advanced machine learning techniques to weather reconstruction challenges. Recent publications reveal a strong emphasis on European climate patterns, hydroclimate extremes, and the development of novel datasets and tools for climate research across high-impact journals in climate science, paleoclimatology, and climate informatics. Notable scientific achievements include: Lead author for Chapter 2 of the IPCC Working Group I 5th Assessment Report President of the Commission 'Atmospheric Chemistry and Physics' (ACP) of sc.nat Editorial leadership for multiple prestigious journals including Meteorologische Zeitschrift, Climate of the Past, and Geographica Bernensia Leadership roles at the Oeschger Centre for Climate Change Research Active participation in international initiatives like the Twentieth Century Reanalysis Project and Atmospheric Circulation Reconstructions over the Earth (ACRE) Brönnimann has secured substantial funding through numerous national and international projects including SNF, NCCR Climate, EU FP-7, HORIZON2020, COST, and ERAnet.RUS. He has organized multiple international workshops on weather and climate extremes, atmospheric circulation variability, and historical climate events like the Tambora eruption. His work connects closely with the Oeschger Centre for Climate Change Research at the University of Bern, where he leads Work Package 2 and serves on the Steering Group, demonstrating his significant institutional leadership within Bern's climate research community.

Aditya Bhanمشاهده پروفایل

استاد

• Catalysis
• Reaction Engineering
• Energy Conversion
• +۵ مورد دیگر

Aditya Bhan serves as a Distinguished McKnight University Professor in the Department of Chemical Engineering and Materials Science at the University of Minnesota's College of Science and Engineering, leading a research group focused on catalytic conversion technologies for biomass and natural gas feedstocks. His work integrates molecular-level catalytic chemistry with materials synthesis to develop sustainable energy solutions and mitigate environmental impacts from fuel and chemical production. Research spans heterogeneous catalysis for CO 2 hydrogenation, ethylene epoxidation, plasma-catalyzed NO x abatement, and dehalogenation processes. The group employs isotopic tracer studies, transient kinetics, and steady-state measurements complemented by XRD, electron microscopy, and spectroscopy, with computational validation through DFT. Current projects address catalytic acrylate production, plasma-assisted waste stream treatment, and metal carbide catalyst development for carbon-neutral reactions. Professor Bhan has received significant recognition: Distinguished McKnight University Professor (2023) Paul H. Emmett Award in Fundamental Catalysis (2022) He mentors 11 active PhD candidates while having guided 4 recent doctoral graduates to industry and academic positions, with research funded by the National Science Foundation, U.S. Department of Energy, and University of Minnesota's Initiative for Renewable Energy. The group operates advanced facilities for catalytic testing and plasma reactor systems, collaborating with computational experts on the Rule Input Network Generator (RING) software for reaction network analysis. The research team maintains active participation in North American Catalysis Society meetings and International Precious Metals Institute conferences, with regular group development activities including annual picnics, conference travel, and collaborative dinners documented through 2025.