جستجوی استاد راهنمای دانشگاهی

• Clinical exercise physiology
• Medical and health aspects of master athletes
• Prevention and rehabilitation of chronic disease
• +۶ مورد دیگر

Mike Climstein serves as a Lecturer in Human Sciences within the Faculty of Health at Southern Cross University (SCU), where he coordinates the Master of Clinical Exercise Physiology program and acts as Deputy Academic Integrity Officer. He concurrently holds an adjunct Associate Professor position in the Physical Activity, Lifestyle, Ageing and Well-being Research Group at the University of Sydney and directs SCU's Aquatic Based Research initiative. His academic credentials include a PhD in Exercise Science & Human Performance from Oregon State University (1990), an MSc in Exercise Science from Utah State University (1986), and a BSc in Biology from Utah State University (1982). Climstein's research spans clinical exercise physiology with emphases on master athletes' health, chronic disease rehabilitation, sports injury surveillance (particularly surfing), cardiac rehabilitation, smart textile monitoring, and osteoporosis. His work integrates technology-driven health solutions with population-specific exercise interventions, notably for aging populations and athletes. Analysis of his recent publications reveals three dominant trends: 1) AI applications in dermatological diagnostics (e.g., melanoma detection systems), 2) physiological adaptations in aging populations through martial arts and aquatic exercise, and 3) epidemiological studies of chronic conditions in master athletes and occupational groups. These reflect his dual focus on technological innovation and practical health interventions. His scientific recognition includes: Fellowship by Sports Medicine Australia (FASMF) Fellowship by American College of Sports Medicine (FACSM) Fellowship by Exercise and Sports Science Australia (FAAESS) Climstein actively supervises 4 PhD and 2 Master's students while co-supervising 6 Doctor of Physiotherapy candidates. His research program is supported by 38 grants totaling over $7.8 million AUD, including studies on aquatic rehabilitation and smart textile monitoring. As Director of Aquatic Based Research, he leads interdisciplinary teams investigating water-based exercise interventions for chronic disease management, with ongoing projects in cardiac rehabilitation and osteoporosis prevention.

Diamantis Panagiotopoulosمشاهده پروفایل

استاد

• Aegean Bronze Age
• Cultural Interaction in Eastern Mediterranean
• Archaeological Theory
• +۴ مورد دیگر

Prof. Dr. Diamantis Panagiotopoulos is a Professor of Classical Archaeology at Heidelberg University's Institute of Classical Archaeology, serving as its Managing Director since 2012. His academic foundation includes a doctorate from Heidelberg University (1996) and a habilitation from Salzburg University (2003), both focused on Aegean Bronze Age archaeology. Panagiotopoulos's research explores Aegean Bronze Age societies, with emphasis on seal practices, iconography, cultural interactions, and archaeological landscapes. His work integrates theoretical frameworks with material culture analysis to examine Minoan-Mycenaean administration, transcultural exchanges in the Eastern Mediterranean, and heritage preservation strategies. His publications reflect a strong trajectory toward computational methods in archaeology and interdisciplinary approaches, with recent articles leveraging digital tools for seal analysis and landscape modeling. Earlier works established foundations in ritual studies and cross-cultural encounters. Awards include fellowships from the German Archaeological Institute (DAI), DAAD, and DFG, recognizing his contributions to Bronze Age archaeology. He directs excavations at Koumasa (Crete) and co-leads the Heidelberg Corpus of Minoan and Mycenaean Seals.

Autumn M. Womackمشاهده پروفایل

دانشیار

• African American Literary Culture
• Archival Practice
• Visual Technologies and Media History
• +۷ مورد دیگر

Autumn M. Womack is an Associate Professor in the Department of African American Studies and the Department of English at Princeton University. Her work bridges literary scholarship, archival research, and curatorial practice, with a focus on 19th- and 20th-century African American literary culture. She teaches courses on African American literature, race and media, and Toni Morrison’s creative process, often incorporating the Toni Morrison Papers housed at Princeton University Library. Her research centers on the intersections of literature, visual technologies, and archival practice. She is particularly interested in how material evidence—such as photographs, letters, and manuscript drafts—reveals new dimensions of black life and aesthetic production. Her pedagogy emphasizes critical engagement with primary sources, encouraging students to let archival objects guide their inquiry rather than imposing preconceived theses. Womack’s recent publications and projects reflect a strong focus on African American literary history, data and racial representation, and the creative process of major writers like Toni Morrison and Charles Chesnutt. Her work spans archival exhibitions, scholarly monographs, critical editions, and public-facing essays in venues like The Paris Review , Los Angeles Review of Books , and The Times Literary Supplement . Modern Language Association’s William Sanders Scarborough Prize (2022) Shortlisted for the Modernist Studies Association’s First Book Prize She has advised numerous students through her courses and research supervision, though specific names are not listed. Her curatorial leadership of the exhibition Toni Morrison: Sites of Memory exemplifies her commitment to public scholarship and interdisciplinary collaboration. She is currently working on a book titled The Wanderer , exploring Morrison’s creative process, and co-editing a volume on Morrison and Black archival practice with Kinohi Nishikawa. Womack’s lab or research team includes graduate students and collaborators engaged in archival research, literary analysis, and curatorial projects centered on the Toni Morrison Papers. Her future work continues to expand the understanding of black literary life through material culture and narrative innovation.

• Distributed Systems
• Machine Learning
• Big Data
• +۳ مورد دیگر

Jim Dowling is a distributed systems researcher at KTH Royal Institute of Technology, focusing on large-scale distributed systems, machine learning, and big data. His work emphasizes improving system dependability, performance, security, and scalability through middleware, peer-to-peer systems, and cloud-native solutions. He leads courses such as Advanced Course in Large Scale Machine Learning and Deep Learning and Scalable Machine Learning and Deep Learning , demonstrating his commitment to education in AI and distributed computing. His research spans topics like feature stores, Kubernetes integration, and AI-driven environmental analytics (e.g., ANIARA project for edge infrastructure automation and ExtremeEarth for Copernicus data analysis). He has contributed to scalable ML pipelines, cloud storage systems (HopsFS-S3), and hyperparameter optimization tools like Maggy. Key projects include the Hopsworks platform for machine learning operations and the development of cloud-native tools for big data analytics. His work bridges theoretical distributed systems research with practical applications in AI, healthcare, and environmental science. He has advised on numerous collaborative initiatives but no formal students are listed. His grants and lab activities are centered around Hopsworks and the ANIARA project, reflecting his focus on scalable, self-managing systems.

Mor Armonyمشاهده پروفایل

استاد

• Operations Management
• Stochastic Modeling
• Service Operations
• +۷ مورد دیگر

Mor Armony is the Vice Dean for Faculty and Research, Harvey Golub Professor of Business Leadership, and Professor of Technology, Operations & Statistics at the Leonard N. Stern School of Business, New York University. She has been a key faculty member since 1999 and is a leading researcher in stochastic modeling and service operations. Ph.D. in Operations Research, Stanford University (1999) M.S. in Operations Research, Stanford University (1997) M.S. in Statistics, Hebrew University of Jerusalem (1996) B.S. in Mathematics and Statistics, Hebrew University of Jerusalem (1993) Her research focuses on large-scale service systems, particularly in healthcare and contact centers. She investigates patient flow in hospitals, optimization of customer experience, and control of stochastic processing systems using advanced queueing models and operations research techniques. Her work bridges theoretical rigor with practical applications in service operations management. The recent articles reflect a strong trend toward integrating behavioral aspects into operations models, such as customer impatience, strategic patient behavior, and the impact of online reviews on physician demand. Her research spans healthcare operations, call center optimization, and dynamic routing in heterogeneous systems, consistently published in top journals like Management Science , Operations Research , and Production and Operations Management . Scientific recognition includes being named the Harvey Golub Professor of Business Leadership, a distinguished title at NYU Stern. Harvey Golub Professor of Business Leadership She actively advises research projects and collaborates with scholars on topics including staffing, routing, and capacity management. Her work has been supported by ongoing academic engagement and publication, with recent projects addressing appointment scheduling with no-shows, strategic capacity withholding, and co-sourcing in call centers. She leads research in data-driven queueing science applied to hospital operations and is involved in empirical studies on digital health platforms. Her research group, the Operations Management Group at Stern, focuses on developing analytical models for complex service systems. She contributes to interdisciplinary efforts in healthcare operations and collaborates with medical researchers on improving critical care delivery and outpatient scheduling.

Senad Bećirovićمشاهده پروفایل

استاد

• Artificial Intelligence in Education
• Digital Technologies in Education
• Intercultural Education
• +۳ مورد دیگر

Senad Bećirović serves as a full Professor at the University of Education Lower Austria (Pädagogische Hochschule Niederösterreich), having progressed from assistant professor (2014) to associate professor (2017) before attaining his current rank in 2023. His academic career spans teaching research methodology, pedagogy, and advanced statistics across undergraduate, graduate, and doctoral programs at international institutions, delivered through both online and in-person formats. Bećirović's research focuses primarily on Artificial Intelligence and digital technologies in education , with significant contributions to intercultural education , gifted education , and foreign language pedagogy . His work demonstrates a consistent trajectory toward understanding how emerging technologies reshape educational practices and outcomes. Through four books published by Springer and Nova Science and over 60 articles in top-tier journals, he has established himself as a leading voice in digital educational transformation. His recent publications (2023-2025) reveal a pronounced emphasis on AI applications in education, with multiple studies examining AI literacy, policy frameworks, and implementation strategies across European higher education contexts. This research demonstrates both theoretical depth and practical relevance to current educational challenges. Bećirović actively contributes to the scholarly community as editor and reviewer for numerous Q1 journals including Smart Learning Environments (Springer), Education and Information Technologies (Springer), and TESOL Quarterly (Wiley). He participates in multiple European Commission-funded initiatives such as ENRICH (Enhancing Teaching and Research through Innovative Digital Technologies) and Erasmus+ projects focused on peace learning and English education. His professional activities extend to international collaboration through membership in the European Network Ethical Use of AI and the American Educational Research Association (AERA). He frequently delivers keynote addresses at international conferences, sharing expertise on AI in education, digital transformation, and intercultural competencies.

Pierre Marionمشاهده پروفایل

پژوهشگر

• Deep Learning Theory
• Optimization of Neural Networks
• Generative Models
• +۲ مورد دیگر

Pierre Marion is a Researcher at INRIA Paris, working within the Sierra research team since September 2025. His work focuses on the theoretical foundations of deep learning and he is beginning to explore applications of AI in mathematics. Marion has established collaborations across multiple institutions including EPFL, Sorbonne Université, and Google DeepMind. His educational background includes: Engineering degree from École polytechnique (2015-2018) with specialization in Applied Mathematics Master's degree from Sorbonne Université (2019-2020) PhD from Sorbonne Université (2020-2023) under the supervision of Gérard Biau and Jean-Philippe Vert Postdoctoral research at EPFL (2024) supervised by Lénaïc Chizat Marion's research interests primarily focus on the theory of deep learning, where he investigates the optimization and statistical properties of various neural network architectures. His work spans from shallow networks to complex generative models, with a particular emphasis on understanding the mathematical foundations that govern deep learning performance. Recently, he has begun exploring applications of AI in mathematical research, aiming to bridge the gap between theoretical machine learning and mathematical discovery. His research often combines rigorous theoretical analysis with practical implications for training deep neural networks. Analysis of Marion's recent publications reveals several key trends in his research. He has made significant contributions to understanding the role of large learning rates in optimization dynamics, demonstrating how they can accelerate convergence in logistic regression and prevent memorization in score-based generative models. His work on attention mechanisms has provided theoretical guarantees for their effectiveness in specific tasks like single-location regression and clustering. Additionally, Marion has extensively studied the connections between residual networks and neural ordinary differential equations , establishing generalization bounds and exploring scaling properties in the large-depth regime. His earlier work included contributions to natural language processing and quasi-Monte Carlo methods, reflecting a broad mathematical foundation that informs his current deep learning research. Marion has received several notable scientific awards: Runner-up PhD Award of AFIA (French Association for Artificial Intelligence) in 2024 Google PhD Fellowship in 2022 Ecole polytechnique Grand Prize of Research Internships in 2018 As an advisor, Marion currently supervises PhD student Yu-Han Wu (since 2024), with whom he has co-authored multiple publications on large learning rates and denoising score matching. Previously, he co-supervised several Master's students including Seorim Park, Yerkin Yesbay, and Nathan Doumèche. Marion has been actively involved in the machine learning community through conference organization (NeurIPS@Paris meetups), session chairing (ICSDS 2022), and extensive reviewing activities. He has served as a reviewer for top journals including JASA and Annals of Statistics, and conferences including NeurIPS and ICLR, where he was recognized as a top reviewer at NeurIPS 2023. Marion is a member of the Sierra research team at INRIA Paris, which focuses on machine learning theory and applications. He has also collaborated with researchers at CREST (Center for Research in Economics and Statistics), as evidenced by his participation in seminars organized by Anna Korba and Karim Lounici. His work often bridges theoretical computer science, statistics, and applied mathematics, reflecting the interdisciplinary nature of modern machine learning research.

Lauren Hall-Lewمشاهده پروفایل

استاد

• Sociolinguistics
• Phonetics
• Language Variation
• +۳ مورد دیگر

Lauren Hall-Lew is a Professor and Personal Chair of Sociolinguistics at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. She holds a BA from the University of Arizona (2002) and MA/PhD from Stanford University (2009). Her research focuses on phonetics, social meaning, language change, and sociopolitical identity. She has pioneered projects like the Lothian Diary Project, studying linguistic impact of the pandemic, and analyzed Scottish political speech, tourist language attitudes, and ethnicity-linked variation in San Francisco. Teaching contributions include courses on sociophonetics and language variation/change, earning her EUSA Teaching Award (2013). She has supervised over a dozen PhD students and is involved in EDI initiatives, including founding the Staff BAME Network Mentoring Programme (2019-2021), recognized via CAHSS Award and Principal's Medal nominations. Active in grant work, she leads projects on homelessness and linguistic variation (British Academy-funded), Scottish tour guide discourse, and political identity in phonetics. Awards include teaching accolades and EDI recognition. Her publications span sociolinguistic theory, phonetic analysis, and applied linguistic methods.

• Compact and reconfigurable antennas
• Antenna arrays
• Microwave components
• +۷ مورد دیگر

Dimitrios E. Anagnostou is Associate Professor in the Institute of Sensors, Signals & Systems within Heriot-Watt University’s School of Engineering & Physical Sciences, Edinburgh. He directs an anechoic-chamber & microwave characterisation facility, leads a thriving research group, and is currently recruiting PhD candidates. Education & Career: BSEE, Democritus University of Thrace, Greece (2000) MSEE, University of New Mexico, USA (2002) PhD, University of New Mexico, USA (2005) Post-doc, Georgia Tech (2005-2006) Assistant → tenured Associate Professor, South Dakota School of Mines & Technology (2007-2016) Associate Professor, Heriot-Watt University (2016-present) Research Focus: His work spans compact & reconfigurable antennas, 5G Massive-MIMO arrays, metasurfaces, metamaterials, functional materials (VO 2 ), RF-MEMS, microwave packaging, radar sensing for assisted-living, and AI/deep-learning applications in electromagnetics. He pursues “green” RF electronics printed on paper/organic substrates and hybrid integration of antennas on solar cells. Recent Publication Trends (2022-2025): Output is dominated by metasurface-enabled beam-steering antennas, VO 2 -based reconfigurable devices, radar absorbers/rasorbers, biomedical radar for vital-sign monitoring, and AI-assisted signal processing, with strong emphasis on experimental validation and open-access dissemination. Scientific Awards & Fellowships: IEEE John D. Kraus Antenna Award DARPA Young Faculty Award Marie Skłodowska-Curie Individual Fellowship (H2020) ASEE Campus Star Award Young Alumni Award, University of New Mexico Honored Faculty Award, SDSMT (×4) Distinguished Scientist Living Abroad, Hellenic Ministry of Defense Advising & Grants: He has mentored numerous PhD and MSc researchers; his students have won Best PhD Thesis and faculty-wide Engineering Prizes. He is supported by EU and UK research grants and continuously seeks motivated doctoral applicants. Facilities & Teams: He manages the Microwave Facility (anechoic chamber, mm-wave measurement systems) and collaborates with international academic/industry partners across Europe, North America and beyond.

Todd Lewisمشاهده پروفایل

استاد

• Buddhism
• Hinduism
• East Asian Religions
• +۳ مورد دیگر

Academic Overview: Todd Lewis is a Distinguished Professor of Arts and Humanities at the College of the Holy Cross, holding the Monsignor Edward G. Murray Professorship. He specializes in Newar Buddhism, Himalayan religions, and the intersections of ecology and religion. Lewis earned his Ph.D. in Religion from Columbia University and has conducted extensive fieldwork in Nepal. Education: Ph.D. in Religion, Columbia University Research Interests: Lewis focuses on Buddhist narratives, ritual practices, and the role of merchants in religious history. His work explores Newar Buddhism, Himalayan cultural history, and the application of religious frameworks to contemporary issues like ecology. Grants & Leadership: Lewis directed six NEH summer institutes for educators, emphasizing Himalayan studies and Buddhist traditions. He has received fellowships from the Guggenheim Foundation, National Endowment for the Humanities, and others. Labs/Teams: Active in Holy Cross' Asian Studies and Environmental Studies programs. Co-founded the Journal of the North American Japanese Garden Association and serves on editorial boards for Journal of Buddhist Ethics and Religions .

• Applied Economics
• Econometrics
• Labour Economics
• +۶ مورد دیگر

Assoc Prof Haoming Liu is an Associate Professor in the Department of Economics at National University of Singapore. His research focuses on applied economics, econometrics, and labor economics, with a particular emphasis on labor and demographic economics, health, education, and welfare, as well as economic development and technological change. His work often examines the intersections between environmental factors (e.g., heat, pollution) and economic outcomes, such as labor productivity, crime rates, and educational attainment. He has also contributed to studies on minimum wage policies, housing markets, and fertility-education trade-offs in developing economies. Education: PhD in Economics from the University of Western Ontario, Canada. Research highlights include analyzing the impact of heat on economic activity in tropical cities like Singapore, the effects of air pollution on labor productivity in China, and the role of discount rates in long-term housing market decisions. His teaching interests span labor economics, income distribution, and applied econometrics. Key contributions include demonstrating how heat influences workplace attendance and student performance in air-conditioned versus non-air-conditioned environments, and how minimum wage increases reduce urban crime disparities between low- and high-income communities. His articles frequently employ innovative econometric methods to address policy-relevant questions, such as optimal contest design, microgrid energy trading mechanisms, and urban density pricing in housing markets.

Jimmy Huangمشاهده پروفایل

استاد

• Information Retrieval
• Artificial Intelligence
• Natural Language Processing
• +۳ مورد دیگر

Jimmy Huang is a Full Professor and Tier 1 York Research Chair in Big Data Analytics at the School of Information Technology, York University. His research focuses on information retrieval, AI, NLP, and big data analytics in healthcare and web systems. He has published 360+ papers in top venues like SIGIR and ACL, and leads grants totaling $4M+. Huang chairs IEEE's Technical Community on Intelligent Informatics and serves on numerous conference committees. Education: PhD in Information Science (City, University of London), M.Eng and B.Eng in Computer Science Roles: Chair of IEEE TCII, General Chair of SIGIR 2020 and CIKM 2008 Research interests span task-oriented IR, conversational search, healthcare analytics, and graph-based models. His work on hypergraph collaborative filtering (SIGIR 2022) was named a top influential paper. Current projects include NSERC Discovery Grants ($384K) and ADERSIM CREATE ($1.65M). Award highlights include Fellowships from ACM, IEEE, and Canadian Academy of Engineering. Supervised over 90 students, currently mentoring 12 PhD/MSc candidates and 3 postdocs. Active in surgical safety checklist research and medical data analytics. Labs include the IRLab focused on IR and NLP innovations. Major grants include ORF-RE ($3.5M), NSERC CREATE, and multiple CRD partnerships with industry.

• Artificial Intelligence
• Collective Intelligence
• Digital Strategy
• +۷ مورد دیگر

Overview Prof. Harris Kyriakou is an Associate Professor and Chair Holder of the Media & Digital Chair at ESSEC Business School. His research focuses on leveraging artificial and collective intelligence to enhance organizational value creation, digital strategy, and data-driven decision-making. He has advised multinational firms like Airbnb, Facebook, and Yelp, and his work is supported by grants from NSF and the Spanish government. Education Ph.D. in Management Sciences (Stevens Institute of Technology, 2016) M.S. in Engineering & Technology Innovation Management (Carnegie Mellon University, 2010) B.Sc. in Digital Systems (University of Piraeus, 2007) Research Focus His research explores intersections between AI/collective intelligence, blockchain, sharing economy regulations, and platform governance. Key themes include data network effects, algorithmic regulation, and digital transformation. Recent work on ChatGPT vs. Google examines AI-driven competitive dynamics in search markets. Recognition Awarded the 2024 Case Centre Triple Award, 2022 Early Career Award (AIS), and multiple best paper awards (AoM, INFORMS). Recognized as a 40-Under-40 MBA Professor by Poets & Quants. Teaching & Leadership Co-leads the 'Algorithmic Governance in Platform Economy' thesis Teaches courses on AI, digital strategy, and IT management at ESSEC and IESE Former Assistant Professor at IESE Business School (2016–2021) Professional Contributions Serves as a European Commission advisor on digitalization, reviewer for top journals (MIS Quarterly, Academy of Management Review), and mentor for doctoral candidates.

Timothy Harrisمشاهده پروفایل

مدرس

• Distributed Systems
• Operating Systems
• Machine Learning
• +۵ مورد دیگر

Timothy Harris is an Affiliated Lecturer at the University of Cambridge's Department of Computer Science and Technology, where he jointly teaches courses on multicore semantics and programming. Currently, he works at OpenAI, focusing on performance optimization for GPU inference of large language models, including the Azure OpenAI Service. Previously, he held roles at Microsoft, AWS, Oracle Labs, and was a faculty member at the University of Cambridge (2000–2004). His research spans distributed systems, runtime systems, operating systems, and high-performance computing, with an emphasis on scalability and performance. He contributed to projects like the Xen hypervisor and the Barrelfish research OS. Key research interests include distributed training of PyTorch models in the ONNX runtime, large-scale storage performance with Amazon S3, and runtime systems for in-memory graph analytics. His work often bridges 'big data' and high-performance computing techniques. Notable contributions include the book Transactional Memory (2010) and the Barrelfish OS, alongside numerous publications in top-tier conferences like SOSP, ASPLOS, and EuroSys. He has served as PC chair for ISMM 2025, VEE 2017, and EuroSys 2015, reflecting his leadership in the systems research community. His awards include a Best Paper Award at PACT 2010. Beyond academia, Harris is an avid hiker, aiming to complete the UK coastline, and maintains a photography portfolio at tlhphotography.uk .

Nathan van de Wouwمشاهده پروفایل

استاد

• Dynamics and Control
• Mechatronics and Robotics
• Smart Manufacturing
• +۶ مورد دیگر

Nathan van de Wouw is a Full Professor at the Mechanical Engineering Department of Eindhoven University of Technology (TU/e), affiliated with ICMS, EAISI Mobility, EAISI High Tech Systems, EAISI Foundational, and EIRES. He also holds an adjunct Full Professor position at the University of Minnesota and a part-time Full Professorship at Delft University of Technology. His research focuses on dynamics and control of mechanical systems, including mechatronics, robotics, smart manufacturing, energy systems, and networked control. He has supervised over 150 students and led numerous projects funded by industry partners like ASML, Philips, and Shell. Education: M.Sc. (with Honors) in Mechanical Engineering, TU/e (1994) Ph.D. in Mechanical Engineering, TU/e (1999) Research Interests: Nonlinear systems and control Model reduction and complexity analysis Data-driven and networked control strategies Applications in high-tech systems, autonomous vehicles, and energy systems Awards: IEEE Control Systems Technology Award (2015) for variable-gain control in motion systems Grants & Projects: Lead projects on mechatronic design, lithography systems, and thermodynamic optimization Collaborations with TNO, ASML, and industrial partners Labs & Teams: Member of TU/e’s Dynamics and Control group Affiliated with EAISI (Eindhoven AI Systems Institute)