جست‌وجوی استاد و پژوهشگر

Wolfgang Lehmannمشاهده پروفایل

استاد

• Social Inequality
• Social Class
• Sociology of Work
• +۵ مورد دیگر

Wolfgang Lehmann is a Professor and Acting Chair of the Department of Sociology at Western University, where he also serves as Undergraduate Program Chair and Assistant Dean for Student Experience in the Faculty of Social Science. He holds a Ph.D. in Sociology from the University of Alberta, an MBA from the City University of New York, and additional degrees from the University of Toronto/OISE and the University of Mannheim. His research focuses on social inequality, social class, and educational transitions, particularly examining how class impacts access to education and employment opportunities. Lehmann’s academic career includes extensive grant funding, including SSHRC grants totaling over $750,000 for studies on youth apprenticeships, first jobs, and educational inequality. He has supervised numerous graduate students and authored/edited influential books such as Education and Society: Canadian Perspectives (Oxford University Press) and Choosing to Labour? School-Work Transitions and Social Class (McGill-Queen’s University Press). His research highlights the challenges faced by working-class students in higher education and their transitions to employment. Key contributions include analyses of social capital, habitus, and vocational training systems. Lehmann has received recognition for his teaching, including multiple USC Teaching Honour Roll placements and a nomination for the USC Teaching Award. Lehmann’s work extends to international collaborations and policy advocacy, addressing issues like skilled labor shortages and the status of vocational education in Canada. He actively participates in academic leadership roles, including editorial boards for journals like the British Journal of Sociology of Education and the International Journal of Lifelong Learning .

Melissa C. Smithمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Artificial Intelligence
• +۵ مورد دیگر

Melissa C. Smith is a Professor of Electrical and Computer Engineering and Associate Dean for Graduate Studies at Clemson University. She holds a Ph.D. from the University of Tennessee and degrees from Florida State University. Her research focuses on machine learning, reconfigurable computing, and high-performance systems, with applications in embedded systems and interdisciplinary scientific advancements. Before joining Clemson in 2006, she was a research associate at Oak Ridge National Laboratory (ORNL), contributing to projects like the Spallation Neutron Source and PHENIX experiments. Education: Ph.D., Electrical and Computer Engineering, University of Tennessee M.S., Electrical Engineering, Florida State University B.S., Electrical Engineering, Florida State University Research Interests: Machine Learning and AI High-Performance and Reconfigurable Computing System Performance Modeling Embedded Systems Articles Summary: Her recent work spans machine learning applications, GPU/FPGA architectures, speech enhancement, and medical systems. Key themes include optimizing heterogeneous computing for real-time and scientific workloads, and advancing interdisciplinary solutions through architecture-application co-design. Lab & Collaborations: Leads the Future Computing Technologies Lab and collaborates with ORNL and national labs on projects like GEMmaker and HPC-enabled medical systems.

Theresa Baxterمشاهده پروفایل

مدرس ارشد

• Occupational Therapy
• Vocational Rehabilitation
• Older Adult Mental Health
• +۳ مورد دیگر

Theresa Baxter is a Senior Lecturer at Sheffield Hallam University, where she has been since July 2007. She initially served as Programme Leader for the Practice-based Learning Occupational Therapy programme and later combined this role with that of Professional Lead for Occupational Therapy and Vocational Rehabilitation until stepping down in June 2018 to focus on supporting practice education within the Allied Health Professions (AHP) department. Prior to this, she taught at the University of Derby from 1993 to 2003 and held clinical roles in various hospitals, including the Royal London Hospital, Bethnal Green Hospital, Watford General Hospital, and Queen’s Medical Centre in Nottingham. Her educational background includes qualifying as an Occupational Therapist in 1980 from Derby School of Occupational Therapy (now the University of Derby). She has since contributed to academic and clinical advancements through her work in older adult psychiatry, general medicine and surgery, rehabilitation, and vocational healthcare. Research interests span practice learning methodologies, group work dynamics, and experiential learning in occupational therapy education. She emphasizes the integration of clinical expertise with academic programs, particularly in older adults' mental health and vocational rehabilitation. Her collaborations include studies on fracture bracing techniques and solutions to practice placement shortages in healthcare education. Theresa has presented at national conferences such as the College of Occupational Therapists National Conferences (2008–2015) and ENOTHE (2013), addressing topics like student placement experiences and strategies to enhance workforce development. Her work highlights the importance of occupationally focused practice and improving staff wellbeing through occupational functioning interventions. She currently serves as an External Examiner at the University of Brighton and a Registrant Assessor for the HCPC. Her career bridges clinical management roles and academia, with a focus on fostering practical learning environments for students and advancing educational standards in occupational therapy.

Zenghu Changمشاهده پروفایل

استاد

• Attosecond Science
• Ultrafast Lasers
• High-Intensity Laser Physics
• +۳ مورد دیگر

Zenghu Chang is a Distinguished Professor of Physics and Optics at the University of Central Florida, leading the Institute for the Frontier of Attosecond Science and Technology. He holds the UCF Trustee Chair and Pegasus Professor titles. His research focuses on ultrafast laser science, attosecond phenomena, and high-order harmonic generation. Chang earned his PhD from the Chinese Academy of Sciences and has held academic positions at the University of Michigan and Kansas State University. Education: BSc from Xi’an Jiaotong University (1982), PhD from Xi’an Institute of Optics and Precision Mechanics (1988). Postdoctoral research at the Rutherford Appleton Laboratory (1991-1993) and the University of Michigan (post-1996). Research Interests: Attosecond science, terawatt femtosecond lasers, ultrafast atomic physics, coherent XUV/X-ray sources, high-order harmonic generation, and advanced laser technology. His work includes pioneering contributions like the Double Optical Gating technique and generating the world-record 67-attosecond laser pulse. Awards: APS Fellow, Pegasus Professor (2016), Mercator Professorship (2007), and multiple national and international honors. His publications exceed 150 articles in top journals like Optics Letters and Nature Communications . Advising & Grants: Supervised numerous PhD students in optics and physics. Active in securing research grants for attosecond science and laser development. Collaborates internationally on projects involving ultrafast X-ray sources and advanced laser systems. Labs/Teams: Directs the Florida Attosecond Science and Technology group and leads the Institute for the Frontier of Attosecond Science and Technology, advancing cutting-edge laser and X-ray technologies.

Nicolas Davidenkoمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Perception
• Face Recognition
• +۵ مورد دیگر

Nicolas Davidenko is an Associate Professor in the Department of Psychology at the University of California, Santa Cruz (UCSC). He leads the High Level Perception Lab, focusing on behavioral and computational studies of human perception, particularly face recognition, spatial orientation, and visual ambiguity. His work emphasizes 'top-down' processes like attention and expectations. Davidenko holds a Ph.D. in Psychology from Stanford University (2006), an M.S. in Statistics from Stanford (2004), and an A.B. in Mathematics from Harvard (1998). His research explores how humans perceive and interpret complex visual information, including studies on illusions, virtual reality, and misophonia. He has developed parametric models of faces to study memory encoding and drawing accuracy. Notable achievements include a Top-10 Finalist placement in the 2015 Best Illusion of the Year Contest for his 'Mind-controlled motion' research. He teaches courses such as PSYC 121 (Perception), PSYC 139K (Face Recognition), and advanced cognitive research seminars. Davidenko also runs the CSASS Matlab Workshops, training researchers in statistical tools. His lab includes graduate students and postdocs, with alumni like Jennifer Day (Ph.D. ’19) and Pat Samermit (Ph.D. ’18). Recent projects include investigations into vection in VR environments, cross-sensory modulation of aversive sounds, and time perception in virtual reality. His work bridges cognitive psychology, neuroscience, and computational modeling, contributing to understanding how perception shapes human interaction with the environment.

• Global Governance
• Business Regulation
• Financial Regulation
• +۶ مورد دیگر

Tony Porter is a Professor in the Department of Political Science at McMaster University , Canada. He specializes in global governance and business regulation , with a particular focus on financial regulation , digital technologies , and the organizational effects of time in governance systems. Research Highlights : Currently leads SSHRC-funded research on the interplay of geopolitics and cross-border infrastructures related to digital currencies , GPS systems , and global supply chains . Co-editor of the Handbook of Business and Public Policy (2021) and author of multiple influential books on transnational financial governance. Academic Contributions : Published 15+ articles since 2014 on topics ranging from big data governance to cybersecurity policy . Key research areas include algorithmic governance , transnational temporalities , and benchmarking networks . Educational Background : BA in Political Science from McGill University MA and PhD in Political Science from Carleton University Teaching Roles include graduate courses on Global Governance , Digital Democracy , and Political Economy , along with undergraduate courses on Globalization and International Relations .

Anthony Lising Antonioمشاهده پروفایل

دانشیار

• Higher Education
• Race and Ethnicity
• Sociology
• +۵ مورد دیگر

Anthony Lising Antonio is an Associate Professor at the Stanford Graduate School of Education and Associate Director of the Stanford Institute for Higher Education Research . He serves as the founding faculty director of LifeWorks , an undergraduate integrative learning program. His work focuses on postsecondary access, racial diversity in education, student development, and social stratification. PhD, University of California, Los Angeles (1998) MA, University of California, Los Angeles (1994) MS, Stanford University (1992) BS, University of California, Berkeley (1988) Dr. Antonio's research spans stratification in higher education, racial and ethnic minority student development, and the impact of diversity on institutions. Recent work explores college admissions essays, synthetic text analysis, engineering equity, and social network applications in educational research. His 2024-25 courses include Diversity and Equity Issues in Higher Education and Holistic College Student Development. His publications address critical themes like racialization in STEM, gender dynamics in undergraduate applications, intersectionality in student status, and college access program partnerships. Articles frequently employ social network analysis, critical race theory, and interdisciplinary methodologies to examine educational equity and institutional change. Principal investigator for educational RCTs Co-author on large language model demography studies Contributor to affirmative action policy debates Dr. Antonio advises doctoral students in education and sociology, with affiliations to the Center for Comparative Study in Race and Ethnicity and the Asian American Studies program. He resides in EAST House, a Stanford residential fellowship focused on equity and societal issues.

Christina Lee Yuمشاهده پروفایل

استادیار

• Algorithm Design and Analysis
• High Dimensional Statistics
• Inference over Networks
• +۵ مورد دیگر

Christina Lee Yu is an Assistant Professor at Cornell University in the School of Operations Research and Information Engineering (ORIE). She holds a PhD and MS in Electrical Engineering and Computer Science from MIT (2017, 2013) and a BS in Computer Science from Caltech (2011). Her research focuses on algorithm design, high-dimensional statistics, causal inference in networks, and reinforcement learning. She is also an Amazon Scholar and has received prestigious awards, including the NSF CAREER Award and Intel Rising Stars Award. Her work is supported by grants from the NSF and Air Force Office of Scientific Research. Education: PhD in EECS, MIT (2017) MS in EECS, MIT (2013) BS in Computer Science, Caltech (2011) Research Interests: Algorithm design and analysis Inference over networks and causal inference Sequential decision making under uncertainty Online learning and reinforcement learning High-dimensional statistics Awards and Honors: NSF CAREER Award (2024) ACM SIGMETRICS Rising Stars Award (2024) Intel® Rising Stars Award (2021) JPMorgan Faculty Research Award (2021) Simons Institute Research Fellow (2020) INFORMS Dantzig Dissertation Award Honorable Mention (2018) Grants and Funding: National Science Foundation (NSF) CAREER Grant Air Force Office of Scientific Research Grant Advising: PhD Students: Sean Sinclair, Tyler Sam, Xumei Xi Collaborators: Mayleen Cortez, Matthew Eichhorn Labs and Collaborations: Member of ORIE, Statistics, CAM, and CS graduate fields at Cornell Amazon Visiting Academic in Fulfillment Optimization (2025)

Christopher Waltersمشاهده پروفایل

استاد

• Labor Economics
• Economics of Education
• Applied Econometrics
• +۵ مورد دیگر

Christopher Walters is a Professor at the Kenneth C. Griffin Department of Economics, University of Chicago, and previously served as an Assistant Professor at UC Berkeley (2013-2025). He is a Research Associate at the National Bureau of Economic Research, Research Fellow at IZA, and Faculty Affiliate at MIT's School Effectiveness and Inequality Initiative (SEII). PhD in Economics, MIT (2013) B.A. in Economics and Philosophy, University of Virginia (2008) Walters specializes in Labor Economics and the Economics of Education , focusing on school choice, early childhood interventions, and program evaluation. His work combines applied econometric methods with discrete choice modeling to analyze educational investments and labor market outcomes. Walters' recent publications examine class size effects, teacher quality impacts, and school finance policies, reflecting his interest in improving educational equity through rigorous empirical analysis. Research Fellow at IZA He collaborates with institutions like J-PAL North America and MIT Blueprint Labs, contributing to evidence-based policy design in education and labor economics.

Thilina Halloluwaمشاهده پروفایل

مدرس

• Human-Computer Interaction
• Educational Technology
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Thilina Halloluwa is a Teaching Focused Lecturer in the Department of Human-Centred Computing at The University of Queensland (UQ). He holds a PhD in Human-Computer Interaction from Queensland University of Technology (2019) and a Computer Science undergraduate degree from the Sri Lanka Institute of Information Technology. With over 15 years of academic and industry experience, his research emphasizes real-world impact in education technology, financial inclusion, smart agriculture, and HCI. Educational Background: PhD in Human-Computer Interaction, Queensland University of Technology (2019) Bachelor of Computer Science, Sri Lanka Institute of Information Technology Research Interests: Education for All: Leveraging technology to enhance collaborative learning and social experiences in education. Human Money Interaction: Designing ethical AI solutions for financial services, particularly for underserved communities. Smart Agro: Developing AI-driven tools for crop disease detection, yield optimization, and precision agriculture. Software Project Estimation: Improving effort estimation accuracy through explainable AI (Metrix project). Key Contributions: Developed UrbanAgro (tomato disease detection) and BellCrop (bell pepper disease datasets). Pioneered Dhana Labha , a financial management tool for rural Sri Lankan communities. Advanced online exam proctoring systems for low-resource settings. Previous Roles: Lecturer at University of Sydney (2023) Senior Lecturer at University of Colombo (2013–2023) Lab/Team Affiliations: Smart Agro Project: AI-driven agricultural solutions Metrix Initiative: Software project estimation frameworks

Matt Jacobsenمشاهده پروفایل

مدرس

• Science Fiction Cinema
• Fantasy and Horror Film Studies
• Japanese Animation
• +۳ مورد دیگر

Dr. Matt Jacobsen is a Lecturer in Film Studies at Queen Mary University of London's School of History. He holds a BA in English Literature from King's College London (2000) and an MA in Film and Communication from QMUL. Since 2002, he has taught Film History and Theory, demonstrating a strong commitment to enhancing student learning experiences. From 2012 to 2017, he served as Student Experience Manager within the School. Education: BA English Literature (King's College London), MA Film & Communication (QMUL) Roles: Lecturer, Former Student Experience Manager His research focuses on science fiction, fantasy, and horror cinema, with particular emphasis on Japanese animation and digital media within socio-historic frameworks. His doctoral work explored representations of adolescence in Japanese anime, video games, and horror films at the turn of the millennium. Publicly engaged through media appearances, Jacobsen serves as a weekly film critic for BBC Radio Kent, BBC Radio Solent, and a regular contributor to BBC Radio Cambs.

Christopher Batesمشاهده پروفایل

دانشیار

• Polymer Chemistry
• Materials Science
• Soft Materials Design
• +۳ مورد دیگر

Christopher Bates is an Associate Professor in the Department of Chemistry & Biochemistry at the University of California, Santa Barbara (UCSB), with a joint appointment in the Division of Chemistry and Biochemistry (DCB). He leads the Bates Research Group, focusing on the design, synthesis, and application of soft materials. His lab develops advanced polymers and copolymers with tailored properties for applications in electronics, energy storage, and sustainable materials. Contact information includes cbates@ucsb.edu and an office in Engineering II Building. Research interests emphasize polymer architecture design, including block copolymers, bottlebrush networks, and degradable materials. Key areas include molecular cross-linking for photovoltaic stability, slide-ring gels for mechanical performance, and physics-informed machine learning for phase identification. The group also explores recyclable materials and sustainable synthesis methods. Recent work highlights advancements in α-lipoic acid-based materials, dynamic covalent networks, and electrochemical degradation strategies. The Bates Lab collaborates on projects such as tunable polyborosiloxane networks and self-healing elastomers. Advising includes Dr. Elizabeth Murphy (PhD 2025). No scientific awards are explicitly listed in the provided texts. The lab’s work is supported by grants such as the NSF CAREER award (2019) for block copolymer research. Labs and teams: The Bates Group operates within the UCSB Materials Department, leveraging interdisciplinary approaches to materials science challenges.

• Multilingualism
• Translanguaging Pedagogy
• English as an Additional Language (EAL) Education
• +۴ مورد دیگر

Georgios Neokleous is a Professor of English in the Department of Teacher Education at the Norwegian University of Science and Technology (NTNU), within the Faculty of Social and Educational Sciences. He holds a PhD in Education from Saint Louis University (2014), focusing on home language use in EAL classrooms. His career began as an EFL/ESL teacher, with extensive experience across Europe and the U.S., and he has developed specialized courses for diverse learner groups. Neokleous’ research emphasizes multilingualism, translanguaging pedagogy, and inclusive literacy practices in linguistically diverse classrooms. Education: PhD in Education, Saint Louis University, 2014 Masters and Bachelor’s degrees (implied, not explicitly stated) Research Interests: Neokleous explores the integration of students’ home languages in EAL settings, translanguaging as a pedagogical tool, and assessment strategies in multilingual environments. His work bridges theory and practice, addressing challenges in teacher education and classroom diversity. Recent trends in his publications highlight cross-national comparisons (e.g., Norway-Cyprus studies), innovative teaching methodologies, and the role of technology in modern classrooms. Advising & Grants: Supervises students at BA, MA, and PhD levels. Collaborates with international researchers like Anna Krulatz and Sviatlana Karpava. Active in organizing academic events, including TESOL International and ECER conferences. Labs/Teams: Engaged in collaborative research groups focused on multilingual education, such as the ‘Learning and Teaching English in the Multilingual Classroom’ initiative. His work often intersects with institutions like the University of Cyprus and Multilingual Matters publishing.

Mohd Fikree Hassanمشاهده پروفایل

مدرس

• Image and Signal Processing
• Image Processing and Computer Vision
• Image Enhancement and Restoration
• +۳ مورد دیگر

Mohd Fikree Hassan is a Lecturer at the School of Information Technology, Monash University Malaysia, joining in June 2023. He holds a Ph.D. and Master's from the University of Malaya, and a B.Eng. in Electronics Engineering from Multimedia University. With over 14 years of academic experience, he is actively engaged in research, teaching, and supervision. B.Eng. in Electronics Engineering (Telecommunications), Multimedia University, 2004 M.Eng. in Engineering (Telecommunications), University of Malaya, 2015 Ph.D. in Signal and Systems, University of Malaya, 2018 His research focuses on image and signal processing , particularly in image enhancement, restoration, computer vision, and human color vision . His work contributes to improving image visibility, removing color casts, and developing algorithms for noisy or degraded images. He applies mathematical and computational techniques to solve real-world imaging challenges. The recent publication trends (2021–2025) show a strong focus on image restoration using variational methods (e.g., total variation, ℓ0 regularization), color enhancement in HSI space, and video analysis for sports applications. His work bridges theoretical optimization and practical computer vision systems. He actively contributes to the academic community through peer review for journals such as Neurocomputing , Journal of Imaging , and International Journal of Computational Intelligence Systems , as well as for IEEE conferences. Mohd Fikree is currently accepting PhD students and serves as an external examiner for academic programs. His consistent research output and editorial service reflect a growing impact in the field of image processing and computer vision. While no formal lab or team is mentioned in the text, his collaborations with researchers like R. Paramesran, T. Adam, and G. Krishnasamy suggest active research partnerships in signal and image processing.

Abdallah Chehadeمشاهده پروفایل

دانشیار

• Deep Learning
• Prognostics
• Reliability Analysis
• +۸ مورد دیگر

Dr. Abdallah Chehade is an Associate Professor in the Department of Industrial and Manufacturing Systems Engineering at the University of Michigan-Dearborn , where he leads the Informatics, Reliability, and Data Analytics (IRDA) lab . He holds a Ph.D. in Industrial Engineering from the University of Wisconsin-Madison (2017), with minors in Computer Sciences and Statistics, alongside an M.S. in Mechanical Engineering and a B.E. in Mechanical Engineering from the American University of Beirut. Research Interests span safe and robust deep learning solutions , explainable AI , data fusion for degradation modeling , and Bayesian statistical modeling . His work integrates AI/ML with prognostics and Internet of Things (IoT) to address challenges in reliability analytics and industrial data science . Publications highlight advancements in deep autoencoders , LSTM networks , and hybrid models for warranty forecasting , with applications in battery cells , sheet metal stamping , and rail transportation . His grants from Ford, Honda, and the U.S. Army focus on smart manufacturing , AI for sensor modeling , and digital twins . Lab Members include Ph.D. students working on topics like physics-based AI , computer vision , and deep learning for prognosis . He serves on the INFORMS Quality, Statistics, and Reliability (QSR) Council and maintains affiliations with IEEE , INFORMS , and IISE .