جست‌وجوی استاد و پژوهشگر

Scott Fraundorfمشاهده پروفایل

دانشیار

• Psycholinguistics
• Memory
• Cognitive Aging
• +۸ مورد دیگر

Scott Fraundorf is an Associate Professor in the Department of Psychology at the University of Pittsburgh, affiliated with The Dietrich School of Arts & Sciences and the MAPLE Lab at the Learning Research and Development Center (LRDC). His research focuses on psycholinguistics, memory systems, cognitive aging, metacognition, and educational technology. He holds a Ph.D. from the University of Illinois at Urbana-Champaign and has been recognized with an NSF Graduate Research Fellowship (2007-2011) and inclusion in the List of Teachers Ranked as Excellent by Students ("Outstanding"). Key research themes include the role of prosody and disfluency in language processing, cognitive aging effects on memory, and the application of statistical modeling to study decision-making and learning strategies. His work bridges experimental psychology with real-world educational interventions, such as adaptive grammar instruction tools and investigations into digital literacy practices among adolescents. Recent publications emphasize cognitive mechanisms underlying expertise retention in medical professionals and the impact of exercise on memory preservation in older adults. He collaborates on projects analyzing how contrastive linguistic cues (e.g., pitch accent, beat gestures) influence online discourse comprehension and long-term memory encoding. Labs/Teams: MAPLE Lab (Memory, Attention, Processing, Learning, Education) Grants: NSF Graduate Research Fellowship Advising: Advises graduate student Jessica Macaluso

• Language Didactics
• Digital Technology in Education
• Online and Distance Learning
• +۱۲ مورد دیگر

Sophie Othman is a Lecturer at the University of Franche-Comté, affiliated with the Centre de Linguistique Appliquée (CLA) and the DEFLET department. She is actively engaged in research and teaching in language didactics, digital education, and innovative pedagogical practices. Her work spans multiple roles in research coordination, program leadership, and international academic collaboration. Research Interests: Her primary research areas include digital technology in language teaching and learning, design of online and distance learning environments, digital engineering in education, pedagogical innovation, comodal and hybrid training models, MOOCs, e-portfolios, and teacher training in ICT. She explores how digital tools transform language education, especially in multilingual and multicultural contexts. The recent scholarly output shows a consistent focus on post-pandemic educational transformation, AI integration in learning systems, and the design of flexible pedagogical scenarios. Her publications appear in journals such as ALSIC and in international conference proceedings, reflecting a strong engagement with digital pedagogy and language education innovation. Leadership and Service: Vice-President, Scientific and Pedagogical Commission, CLA – University of Franche-Comté (2021–present) Co-Responsible, TIPED Research Program, ELLIADD (2017–present) Scientific Coordinator, Innov'FLE Thematic Thursdays (2022–present) Former Coordinator, Master 2 FLE 'Political and Digital Environments' and FLE Track at CTU Besançon (2018–2020) Scientific Committee Member for international conferences (e.g., ADCUEFE, CEDIL, UBEST, EIAH) Expert reviewer for language didactics journals and collective works International trainer for the French Ministry and OIF in over 15 countries Projects and Grants: #ApproprIA: AI Appropriation in Education (2025–...) UNPEAA: Digital Use by Allophone Adults (2024–...) Innov'FLE: Innovation in FLE Teaching (2022–...) HUMANE: Digital Humanities for Education (2019–2022) ANR-IDEFI Innovalangues (2013–2016) Advising and Grants: While no formal students are listed, she has supervised research teams and mentored junior researchers through collaborative projects and editorial roles. She has secured national and international funding, notably through the ANR-IDEFI program, and contributes to large-scale educational initiatives supported by governmental and Francophone institutions. Labs and Teams: She is affiliated with the ELLIADD research laboratory (University of Franche-Comté) and was previously associated with LIDILEM (Université Grenoble Alpes). She leads and participates in interdisciplinary research groups focused on digital language education, teacher training, and innovation in didactics.

• Composites
• Additive Manufacturing
• Materials Characterization
• +۸ مورد دیگر

Dr. Alexander J G Lunt is a Senior Lecturer in Mechanical Engineering at the University of Bath, specializing in micromechanical testing and materials characterization. He leads the Integrated Materials Processing and Structures Research Centre and has a PhD in Mechanical Microscopy from the University of Oxford. His research focuses on advanced materials, composites, additive manufacturing, and synchrotron/neutron-based techniques. He has supervised 5 PhD students and collaborates with industries like Rolls-Royce and Airbus. Notable awards include the John Willis Award and Vice Chancellor's Engage Award. His work contributes to UN SDGs in sustainable materials and manufacturing.

• Power Market Analysis
• Hydropower Scheduling
• Power System Balancing
• +۵ مورد دیگر

Hossein Farahmand is a Professor at the Department of Electric Energy, Norwegian University of Science and Technology (NTNU), and leads the Electricity Markets and Energy Systems Planning (EMESP) research group. He holds an Associate Editor role at IEEE Transactions on Energy Markets, Policy and Regulation and contributes to international initiatives like IEA Wind Task 25 and ISGAN Annex 9. Education : Dr.ing. (PhD) from NTNU (2012) His research focuses on power market analysis, hydropower scheduling, power system balancing, and local flexibility markets in smart grids. Recent work explores renewable energy integration, digitalization, and hydrogen systems. Trends include machine learning applications in hydropower scheduling, offshore wind economics, and grid flexibility solutions. Scientific awards include Senior Member of IEEE and representation in ISGAN Annex 9 and IEA Wind Task 25 . He supervises PhD candidates and co-supervised projects in areas like grid tariffs , local energy communities , and electric vehicle integration . Grants include EU Horizon 2020 and Research Council of Norway funding for projects such as IntHydro , HONOR , and Ocean Grid . Labs and teams include the EMESP research group at NTNU, collaborations with Hohai University , Smart Innovation Norway , and industry partners in China and Norway.

Michael Blumمشاهده پروفایل

استاد

• Digital Health
• Health Informatics
• Preventive Cardiology
• +۷ مورد دیگر

Michael Blum, MD, is a Professor of Medicine in the Division of Cardiology at the University of California, San Francisco (UCSF), within the School of Medicine and Department of Medicine. He serves as Associate Vice Chancellor for Informatics and Chief Digital Transformation Officer at UCSF, leading strategic digital health initiatives. He is also the Executive Director of the UCSF Center for Digital Health Innovation (CDHI), where he drives innovation in digital health technologies. His research and clinical interests focus on preventive cardiology , digital health , and clinical informatics . Dr. Blum specializes in the care of patients with congestive heart failure, valvular heart disease, and general cardiology, with a strong emphasis on wellness and early detection of heart disease. His work integrates clinical care with digital transformation, including the development of clinical decision support systems and enterprise health data platforms. The available publications highlight his leadership in health informatics, particularly in electronic medical records, clinical documentation, and care transition systems. His work reflects a consistent trend toward leveraging technology to improve clinical workflows, patient safety, and care delivery innovation. AMDIS Award for Excellence and Achievement in Advancement of Clinical Information Systems Dr. Blum has led major digital health initiatives, including the enterprise deployment of Epic EHR and the development of a large-scale data warehouse supporting clinical, research, and educational missions at UCSF. He has secured and led strategic partnerships with industry leaders such as Samsung, Cisco, and GE to advance digital health innovation, including AI in healthcare. He mentors through leadership in CDHI and similar programs, though no formal students are listed. He leads the UCSF Center for Digital Health Innovation (CDHI) , which serves as an incubator for early-stage digital health technologies. The center validates innovations and partners with industry for commercialization. He also co-founded the UCSF-Samsung Digital Health Innovation Laboratory , the UCSF-Cisco Connected Health Interoperability Platform , and the UCSF-GE collaboration on artificial intelligence and deep learning in healthcare .

• Human-AI Interaction
• AI for Social Good
• Emerging Technology Education
• +۷ مورد دیگر

Yu Chen is an Associate Professor in the School of Information Systems and Technology at San José State University’s Lucas College and Graduate School of Business. She holds a PhD in Computer and Communication Sciences from the Swiss Federal Institute of Technology at Lausanne (EPFL), and has held postdoctoral positions at the University of California, Irvine. Her work bridges human-computer interaction, AI, and social impact, with a strong focus on education and inclusive innovation. PhD, Computer and Communication, EPFL, Switzerland MS, Security and Mobile Computing, Aalto University, Finland MS, Security and Mobile Computing, Norwegian University of Science and Technology (NTNU), Norway BE, Information Security, Huazhong University of Science and Technology (HUST), China Her research centers on human-AI interaction , AI for social good , emerging technology education , and health informatics . She is particularly interested in how chat-based interfaces can support student success, career advising, and community problem-solving. She emphasizes design thinking, empathy, and interdisciplinary collaboration in her pedagogy. Her recent publications span AI education, chatbot design, inclusive learning, and ethical AI. A recurring theme is the use of conversational agents to empower students and address societal challenges such as food insecurity, housing, and mental health. The research demonstrates a strong commitment to experiential learning and real-world impact. Collaborative Research: Broadening Inclusive Participation in AI Undergraduate Education (NSF) Girls in AI: AI Education for K-12 Girls (SJSU RSCA) Innovation Farm: AI-Powered Social Innovation (SJSU CEP) AI Counselors and Tutors for Student Development (SJSU RSCA) Yu Chen has received numerous honors, including the SJSU College of Business Distinguished Undergraduate Teaching Award (2024), multiple Master Teacher Awards, and recognition for research excellence at AMCIS and ICIS. She was also awarded the Erasmus Mundus Scholarship and a Swiss National Science Foundation fellowship. She actively mentors undergraduate students in research, many of whom have co-authored peer-reviewed publications and won awards in student competitions. Her lab, the AI for Social Good initiative, fosters a collaborative, student-driven environment where interdisciplinary teams prototype AI solutions for community challenges. She advocates for trust in students, no-code tools, and education that is relevant, creative, and socially responsible.

Stephen Brownمشاهده پروفایل

استاد

• Field-Programmable Gate Arrays (FPGAs)
• Computer Architecture
• CAD Algorithms
• +۴ مورد دیگر

Stephen Brown is a Professor at the University of Toronto within the Department of Electrical and Computer Engineering under the Faculty of Applied Science and Engineering. He earned his B.A.Sc and M.A.Sc in Electrical Engineering from the University of Toronto and New Brunswick, respectively, and a Ph.D. in Electrical Engineering from the University of Toronto (1992). His career spans over two decades in academia and industry collaboration. Education : B.A.Sc, University of New Brunswick M.A.Sc, University of Toronto Ph.D, University of Toronto Professor Brown’s research focuses on field-programmable gate arrays (FPGAs) , CAD algorithms , and computer architecture , with applications in machine learning and high-level synthesis . He is a principal investigator in the LegUp project , an open-source high-level synthesis framework that bridges software and hardware design. His work also extends to optimizing FPGA interconnect delays, physical synthesis, and logic block architectures. Key trends in his publications include advancements in high-level synthesis tools, FPGA architecture evaluation, and timing-driven design methodologies. His contributions often intersect with design automation , resource sharing , and embedded systems . Scientific Awards : NSERC 1992 Doctoral Prize Hart Professorship for Innovation in Teaching (2017) Multiple teaching excellence awards Best Paper Award at ICCAD 1990 Best Paper Award nomination at Canadian Conference on VLSI (1989) As Director of the FPGA University Program at Intel Corporation, he leads industry-academia initiatives. His teaching portfolio includes courses like ECE253 (Digital Logic) and ECE1733F (Switching Theory).

• Francophone Caribbean Literature
• South Asian Diaspora Studies
• AI in Language Education
• +۲ مورد دیگر

Dr. Shanaaz Mohammed is an Assistant Professor of French and French Program Coordinator at Marist College’s School of Liberal Arts. Originally from Trinidad, she specializes in Francophone Caribbean Studies with a focus on South Asian diaspora representations in literature. She integrates AI tools like ChatGPT to gamify and personalize language learning, emphasizing grammar through cultural context. Education: PhD, MA (Florida State University); BA (University of the West Indies, St. Augustine) Key Research: Coral poetics, Aapravasi Ghat heritage, Coolitude theory, and digital pedagogy Initiatives: Developed the Virtual Exchange Program (VExP) with Université de la Réunion for collaborative language instruction Her recent publications explore Khal Torabully’s poetry and Ernest Moutoussamy’s narratives. She advocates for ethical AI use in education, addressing algorithmic bias and cultural stereotyping, while promoting cautious optimism about technology’s role in enhancing human-centered language learning. Scientific Awards Northeast Modern Language Association (NeMLA) Postcolonial Essay Award (2022) She teaches all levels of French language, literature, and culture courses, emphasizing the global diversity of the French-speaking world beyond France.

Craig L. Justمشاهده پروفایل

استاد

• Use of sensors to measure water quality
• Freshwater mussels as living biosensors
• Fate of pharmaceuticals in wastewater treatment
• +۲ مورد دیگر

Craig L. Just holds the Donald E. Bently Professorship in Engineering and serves as a Professor in the Department of Civil and Environmental Engineering at the University of Iowa's College of Engineering. He also works as a Faculty Research Engineer at IIHR—Hydroscience and Engineering. With a PhD in Environmental Engineering and Science (2001) and an MA in Chemistry (1994), both from the University of Iowa and University of Northern Iowa respectively, his career spans over two decades of academic and practical contributions. Education: PhD, Environmental Engineering and Science, University of Iowa (2001) MA, Chemistry, University of Northern Iowa (1994) BS, Chemistry, University of Northern Iowa (1992) Dr. Just's research focuses on water quality monitoring through sensor technology, freshwater mussel biosensing , pharmaceutical contaminant removal , and PCB exposure analysis from dredging operations. His work bridges environmental engineering with ecological health and sustainable systems. Recent publications highlight trends in anaerobic digestion optimization , PCB emission characterization , and machine learning applications for biogas prediction. He has extensively studied constructed wetlands , nitrogen cycling , and flood risk mitigation in agricultural and urban contexts. As director of the Iowa Wastewater and Waste to Energy Research Program, he leads initiatives connecting bioremediation , smart infrastructure , and community engagement . His projects span from hydrological modeling in Iowa to international water programs in Honduras.

Maryellen L. Gigerمشاهده پروفایل

استاد

• Computer-Aided Diagnosis
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Maryellen L. Giger, Ph.D. is the A.N. Pritzker Distinguished Service Professor of Radiology, Committee on Medical Physics, and the College at the University of Chicago. She serves as Vice-Chair of Radiology (Basic Science Research) and was the immediate past Director of the CAMPEP-accredited Graduate Programs in Medical Physics/Chair of the Committee on Medical Physics. Her career spans over 30 years of pioneering research in computer-aided diagnosis, machine learning, and deep learning applications in medical imaging. Dr. Giger's research focuses on computational image-based analyses for cancer risk assessment, diagnosis, prognosis, and response to therapy, particularly in breast cancer, lung cancer, prostate cancer, lupus, bone diseases, and more recently, COVID-19. Her work has evolved from developing computer-aided diagnosis systems to utilizing 'virtual biopsies' in imaging genomics association studies for discovery. She has made significant contributions to quantitative imaging, radiomics, and AI applications in medical imaging, with emphasis on translating research into clinical practice. Her publication record shows a clear trajectory from foundational work in computer vision for medical imaging to cutting-edge AI and deep learning applications. The recent publications demonstrate her leadership in large-scale collaborative efforts like the Medical Imaging and Data Resource Center (MIDRC), focus on health equity through AI analysis, and expansion into diverse applications including gynecological imaging, lung cancer screening, and trauma assessment. Her work consistently bridges technical innovation with clinical relevance. Dr. Giger has received numerous prestigious honors including membership in the National Academy of Engineering, the William D. Coolidge Gold Medal (the highest award from AAPM), and being named one of the 50 most impactful medical physicists in the last 50 years. She is a Fellow of multiple professional societies including AAPM, AIMBE, SPIE, SBMR, and IEEE. Her 2019 TIME magazine recognition for QuantX, the first FDA-cleared machine-learning-driven system for cancer diagnosis, highlights her translational impact. As an educator and mentor, Dr. Giger has guided over 100 graduate students, residents, and medical students throughout her career. She has secured substantial research funding including NIH R01 grants and serves as contact PI for the NIH NIBIB-funded & ARPA-H-funded Medical Imaging and Data Resource Center (MIDRC). Her leadership extends to former presidencies of the American Association of Physicists in Medicine and SPIE, and she was the inaugural Editor-in-Chief of the SPIE Journal of Medical Imaging. Dr. Giger co-founded Quantitative Insights, Inc. through the University of Chicago's New Venture Challenge, which developed QuantX - the first FDA-cleared AI system for cancer diagnosis. She leads the Medical Imaging and Data Resource Center (MIDRC), a critical resource for AI development in medical imaging that received the 2023 DataWorks Prize. Her research laboratory bridges engineering, physics, and clinical medicine to develop and validate quantitative imaging biomarkers and AI tools for precision medicine.

Udo Fiedlerمشاهده پروفایل

استاد

• Manufacturing Engineering
• High-Speed Machining
• Production Engineering
• +۷ مورد دیگر

Prof. Dr.-Ing. Udo Fiedler is a faculty member at the Technical University of Central Hesse (THM), Department of Business Administration and Economics, where he serves as Head of the Production Engineering Laboratory and Member of the Senate. His academic work focuses on manufacturing engineering with specialization in high-speed machining, production processes, and machine tools. His research interests include: High-Speed Machining (HSC) and precision manufacturing Green machining of sintered parts in the green state Process optimization using statistical experimental design Machine tool technology and NC programming Industry 4.0 applications in manufacturing education Process monitoring and control for increased manufacturing safety Prof. Fiedler's publication record demonstrates an evolution from fundamental machining processes toward integrating AI with traditional manufacturing. His recent work shows strong emphasis on applying artificial intelligence to quality prediction, optimizing green machining processes, and implementing Industry 4.0 concepts through learning factory approaches, bridging traditional manufacturing engineering with modern digital technologies. His significant scientific contributions include: Development of methods for NC programming of complex workpieces Research on stability lobe diagrams for milling processes Studies comparing different production methods including HSC, EDM, and generative processes Work on mechatronic tool holders for process monitoring Applications in the ophthalmic industry for precision machining of spectacle lenses Prof. Fiedler teaches multiple courses at THM including Factory Planning/Ergonomics, Handling and Assembly Technology, Innovative Manufacturing Processes, and Machine Tools at the bachelor's level, and Learning Factory 1 and 2 at the master's level. He leads current research projects including Klag-Robotics (2023-2025), Loewe Project OST (2018-2021), and GrünSpan (2014-2015), demonstrating sustained research activity across multiple manufacturing domains.

Shweta Agarwalمشاهده پروفایل

استاد بالینی

• Pathology
• Head and Neck Pathology
• Cytopathology
• +۳ مورد دیگر

Shweta Agarwal is a board-certified clinical pathologist specializing in Head and Neck pathology and Cytopathology. Currently affiliated with Mayo Clinic in Jacksonville, Florida, she focuses on diagnosing salivary gland, thyroid, oral cavity, and sinonasal cancers. Her research integrates artificial intelligence for metastasis prediction and explores PD-L1 expression in rare tumors. 2018 Fellowship in Cytopathology - University of California San Francisco Medical Center 2017 Fellowship in Head and Neck Pathology - Massachusetts General Hospital 2016 Residency in Anatomic Pathology - University of Oklahoma Health Sciences Center 2011 Senior Residency in Oncopathology - Tate Memorial Hospital 2003 MBBS - GSVM Medical College, Kanpur University Her research bridges clinical pathology with computational tools, investigating salivary gland cancers, thyroid neoplasms, and oral squamous cell carcinoma. Key publications include AI-driven nodal metastasis predictions and PD-L1 analysis in rare cancers. Scientific awards include the 2025 Mayo Clinic 'Healing' recognition, 2022 Presidential Teaching Fellow nomination, and multiple best paper awards. She serves on committees for the College of American Pathologists and Papanicolaou Society of Cytopathology.

Esther S. Barronمشاهده پروفایل

استاد بالینی

• Venture Capital
• Early-Stage Financing
• Entrepreneurship Law
• +۳ مورد دیگر

Esther S. Barron is a Clinical Professor and Director of the Donald Pritzker Entrepreneurship Law Center at Northwestern Pritzker School of Law. She specializes in venture capital, early-stage financing, and entrepreneurship law, guiding students in transactional matters for start-ups and social enterprises. BA , Brandeis University JD , Northwestern University Her research focuses on practical legal training for entrepreneurs, business law education, and the intersection of law and technology in distance learning. She has pioneered clinical programs that combine legal education with hands-on transactional experience. Her publications reflect expertise in entrepreneurship law, legal education, and digital learning tools. Key trends include practical application of business law, start-up legal frameworks, and pedagogical innovation. Dean’s Teaching Award SBA Faculty Appreciation Award Association of American Law Schools Teachers of the Year Award MSL Outstanding Online Professor Award Barron teaches courses such as Entrepreneurship Law, Venture Capital, and The Real Deal in the San Francisco Immersion Program. Her clinical work emphasizes real-world legal support for start-ups and social entrepreneurs, informed by her prior legal practice and entrepreneurial experience.

• Convivial informatics
• Digital sustainability
• Participatory design
• +۹ مورد دیگر

Aurélien Tabard is an Associate Professor at LIRIS (Laboratoire d'InfoRmatique en Image et Systèmes d'information), a joint research unit between Université Claude Bernard Lyon 1 and CNRS. His academic career spans over a decade with positions at prestigious institutions including the IT University of Copenhagen, University of Munich, and INRIA. He completed his PhD at Université Paris-Sud in 2009, focusing on supporting lightweight reflection on familiar information. Tabard's research centers on convivial informatics, exploring alternatives to computational platforms that consider digital limits and foster sufficiency, maintenance, autonomy, and durability. His work emphasizes participatory approaches to designing resilient infrastructures and tools for rapid prototyping by non-designers. He investigates software obsolescence, digital sufficiency, and the materiality of data physicalization through projects like Limites Numériques and PC4-Congrats within PEPR eNSEMBLE. His recent publications reveal strong trends toward sustainability in computing, examining how digital systems can be designed with longevity and environmental impact in mind. There's a clear progression from technical HCI research toward broader societal implications of digital technology, particularly focusing on how users experience aging devices and negotiate digital limits collectively. Honorable mention award for 'Obsolescence Paths: living with aging devices' at ICT4S 2023 Student Lea Mosesso received the prize for best MSc thesis from Conseil National du Numérique Tabard actively mentors PhD students including Maëva Calmettes (working on skill and expertise sharing), Edlira Nano (studying software obsolescence), and Lea Mosesso (researching digital sufficiency). He collaborates extensively with researchers across France and internationally, particularly with Inria Lille where he spent a sabbatical in 2023. His current projects involve understanding software obsolescence, digital sufficiency, and the interplay between micro design decisions and systemic forces shaping ICT. He leads the Limites Numériques team, which investigates how to design computational platforms that take digital limits into consideration. The team recently developed an exhibit on water in the digital sector that will travel to Rhône-Alpes in spring 2025. Tabard also contributes to participatory design tools and critical approaches to participatory design, working with colleagues like Nolwenn Maudet, Thomas Thibault, and Romain Rouvoy.

Kevin Pughمشاهده پروفایل

استاد

• Transformative Experience Theory
• Motivation
• Learning Transfer
• +۵ مورد دیگر

Kevin Pugh is a Professor in the School of Psychological Sciences at the University of Northern Colorado, affiliated with the College of Education and Behavioral Sciences. Specializing in transformative experience theory, motivation, and cognition, his work bridges educational psychology with real-world learning applications. Ph.D. in Educational Psychology (Learning & Cognition), Michigan State University (2002) B.S. in Psychology, Brigham Young University (1994) Assistant Professor, University of Toledo (post-Ph.D.) Joining UNC in 2006 Dr. Pugh's research investigates how learning transforms students' worldviews through Deweyan aesthetics and motivational frameworks. His transformative experience theory emphasizes real-world application of knowledge, studied across science education, problem-based learning, and culturally relevant pedagogy. Recent publications analyze mineral misconceptions, instructor-student connections, and gender dynamics in geology education. He teaches learning theory, cognition, and motivation courses using transformative, authentic pedagogies. The Calvin Project, which uses comic characters to explore motivation theory, exemplifies his innovative approach. Dr. Pugh has secured National Science Foundation grants and serves on the editorial board of the Journal of Experimental Education. Principal investigator for NSF-funded projects Editorial board member, Journal of Experimental Education School of Psychological Sciences faculty Contact: kevin.pugh@unco.edu | Office: McKee Hall 63 | Phone: 970-351-2989