جست‌وجوی استاد و پژوهشگر

Juha Pyrhönenمشاهده پروفایل

استاد

• Electric Machines
• Motor Design
• High-Speed Motors
• +۷ مورد دیگر

Juha Pyrhönen serves as Professor of Electrical Engineering at the School of Energy Systems, Lappeenranta-Lahti University of Technology (LUT University) in Lappeenranta, Finland. His research focuses on advanced electric machine design for high-performance applications, with particular expertise in traction motors, synchronous reluctance machines, and thermal management systems. Contact information includes email Juha.Pyrhonen@lut.fi and phone +358 40 571 1645. Professor Pyrhönen's research spans critical areas in electric machine development including high-speed motor design for aerospace and automotive applications, mitigation of parasitic effects like bearing currents, and innovative cooling techniques such as direct liquid cooling. His work addresses electromagnetic design challenges in drum-winding machines, variable reluctance resolvers for position sensing, and material selection for rotors operating under extreme conditions. Recent investigations examine agricultural tractor electrification and compact energy conversion systems for onboard machinery. Analysis of his 2025 publications reveals strong emphasis on improving power density through multidisciplinary approaches that integrate electromagnetic, thermal, and mechanical considerations. Key trends include advanced bearing current mitigation strategies, optimization of axially-laminated rotors, and precision measurement techniques under magnetic saturation. His research consistently targets sustainable solutions for electric propulsion across transportation sectors. No scientific awards were documented in the provided information. Details regarding student supervision, research grants, or collaborative projects were not specified in the available materials. The absence of such information suggests either non-disclosure in the source materials or potential focus on independent research activities. While specific laboratory facilities weren't mentioned, his research scope implies access to advanced testing infrastructure for high-speed machinery, electromagnetic characterization equipment, and thermal validation systems at LUT University's energy research facilities.

• Information Theory
• Active Learning
• Decentralized Learning
• +۴ مورد دیگر

Tara Javidi holds the Jerzy (George) Lewak Endowed Chair and is a Professor in the Department of Electrical and Computer Engineering and Halicioglu Data Science at the University of California San Diego (UCSD). She leads multiple initiatives, including serving as Founding CTO of KavAI, Co-Director of the Center for Machine Intelligence, Computing and Security, and Co-Principal Investigator (CoPI) of the NSF AI Institute TILOS. Her research focuses on stochastic analysis, design, and control of information systems, emphasizing active learning, decentralized optimization, and wireless networks. Key areas include information acquisition/utilization, stochastic control, and AI-driven communication solutions. Her work bridges theoretical foundations and practical implementations, such as drone systems for information gathering (via detecdrone.ucsd.edu) and optical data center networking. Notable contributions include end-to-end scheduling for all-optical data centers and hybrid wireless-optical architectures. Javidi is an IEEE Fellow and has received significant grants, including leading UCSD’s Schmidt AI in Science Postdoctoral Fellowship program. She actively collaborates with industry and academia, with a focus on next-generation wireless networks and decentralized systems. Education: Ph.D. in Electrical Engineering (implied from title). Affiliations: IEEE Journal of Selected Areas in Information Theory (Editor-in-Chief), CALIT2, CNS, and TILOS. Grants: NSF AI Institute TILOS ($20M over 5 years), Schmidt AI Fellowship program. Her research group emphasizes both theoretical rigor (e.g., sequential hypothesis testing) and practical testing, with applications in service drones, cognitive networks, and federated learning. Recent articles highlight advancements in optical networking, secure communication, and distributed learning protocols. Awards: IEEE Fellow, Jerzy Lewak Chair. Labs/Teams: Center for Machine Intelligence, TILOS Institute, KavAI, and UCSD’s AI in Science initiatives.

Kai-Min Chungمشاهده پروفایل

پژوهشگر ارشد

• Quantum Cryptography
• Complexity Theory
• Pseudorandomness
• +۳ مورد دیگر

Kai-Min Chung is a Distinguished Research Fellow at the Institute of Information Science (IIS), Academia Sinica, Taiwan. His research focuses on quantum cryptography, complexity theory, and pseudorandomness. Prior to this role, he completed a postdoctoral fellowship at Cornell University (supported by the Simons Foundation) and earned his Ph.D. in computer science from Harvard University under Salil Vadhan. Education Ph.D. in Computer Science, Harvard University (Advisor: Salil Vadhan) Postdoctoral Researcher, Cornell University Research Interests Chung's work bridges quantum computing and cryptography, addressing challenges in secure communication, post-quantum cryptography, and complexity-theoretic foundations. His contributions include groundbreaking results on quantum-resistant protocols, zero-knowledge proofs, and cryptographic primitives resilient to quantum adversaries. Recent research emphasizes the theoretical limits of quantum algorithms and their implications for cryptographic security. Professional Activities Program Committee Chair: Asiacrypt 2024, ITC 2023 Membership on committees for CRYPTO, EUROCRYPT, STOC, FOCS, and others Awards Best Student Paper Award at TCC 2010 Distinguished Paper Award at PLDI 2023 Simons Postdoctoral Fellowship Teaching & Mentoring Chung teaches advanced courses on modern cryptography and advises students in theoretical computer science. He actively recruits postdoctoral researchers and students to his lab, focusing on cutting-edge quantum and classical cryptographic systems.

• Public Health
• Adolescent Health
• HIV Prevention
• +۷ مورد دیگر

Susan Davies is an Adjunct Professor in the Department of Health Behavior at the University of Alabama at Birmingham (UAB) School of Public Health. She has held multiple roles, including Professor and Associate Professor at UAB, and has been affiliated with departments such as the Civitan International Research Center and the Nutrition Obesity Research Center (NORC). Her research focuses on public health, adolescent health, HIV prevention, and health disparities. She holds a PhD in Public Health Education from UAB (1997), an M.Ed. in Health Education from George Mason University (1989), and a B.S. in Health and Physical Education from Florida State University (1985). Her research interests include adolescent sexual health, bullying and violence prevention, caregiver communication in pediatric oncology, and interventions targeting marginalized populations such as young African American breast cancer survivors and individuals living with HIV. She has led or contributed to numerous grants funded by the CDC, NIH, and other organizations, including the CHEER Center for the Study of Community Health and interventions targeting CMV prevention in pregnancy and soil-transmitted helminth infections. Dr. Davies has supervised multiple graduate students and taught courses such as Community Assessment, Doctoral Dissertation Research, and Internship Programs. Her work often emphasizes improving healthcare access, reducing disparities, and developing culturally competent interventions. She has been recognized for her contributions to community health and behavioral interventions, though no specific awards are explicitly listed in the provided materials.

Arnaldo Delli Carriمشاهده پروفایل

دانشیار

• Nonlinear Dynamics
• Finite Element Analysis
• Nonlinear Vibration Analysis
• +۳ مورد دیگر

Arnaldo Delli Carri is an Associate Professor at the CEES School of Engineering, serving as Curriculum Lead and actively involved in academic leadership. His research focuses on Nonlinear Dynamics and Finite Element Analysis, with expertise in structural analysis, modal testing, and vibration dynamics. He is currently accepting PhD students in areas like Nonlinear Vibration Analysis and FE model validation. Research interests include advanced topics such as nonlinear system identification, model upgrading, and machine learning applications in structural performance prediction. Notable projects involve analyzing planetary gearboxes, 3D printing opportunities in Africa, and laser vibrometer-based nonlinear detection. His work integrates experimental and computational methods to address challenges in mechanical systems and biomedical engineering. Collaborations span international partnerships, focusing on structural dynamics and nonlinear systems. His contributions include over 17 publications since 2011, with a focus on vibration analysis, finite element validation, and additive manufacturing applications. He currently supervises PhD candidates exploring nonlinear dynamics and FE formulations.

• Clinical Reasoning
• Optometry
• Professional Expertise Development
• +۳ مورد دیگر

Caroline FAUCHER is a Professor and Deputy Director at the École d'optométrie (School of Optometry) at Université de Montréal. She holds academic leadership roles in optometric education and research. Her research focuses on clinical reasoning, professional expertise development, healthcare communication, and optometry education. She teaches courses like OPM-1051/1052 and OPM-2051/2052, emphasizing professional competencies in optometry. Education: She earned a Doctorat en optométrie (O.D.) from Université de Montréal (1995), a M.Sc. in Physiological Optics (1998), and a Ph.D. in Education from Université de Sherbrooke (2009). Research Interests: Her work addresses clinical decision-making frameworks, optometric education methodologies, and barriers to eye care access. She leads projects funded by the Fonds de fiducie des optométristes canadiens pour l'éducation, including a 2017-2019 initiative on improving history-taking competence in optometry students and a 2013 pilot study on clinical reasoning assessment via the Script Concordance Test. Awards: While no explicit awards are listed, her sustained research grants indicate recognition in optometric education. She is affiliated with the Groupe de recherche en sciences de la vision (GRSV). Advising & Grants: She supervises research projects and has secured funding for studies on ethical dilemmas in optometry practice, clinical reasoning models, and visual disorders in educational settings. Her recent work explores eye care access among homeless populations and ethical challenges in optometric practice. Labs/Teams: Active member of the GRSV research group, focusing on vision science and optometric clinical practices.

Tormod Fladbyمشاهده پروفایل

استاد مدعو

• Alzheimer's Disease
• Dementia
• Cognitive Impairment
• +۶ مورد دیگر

Tormod Fladby serves as an Adjunct Professor at the University of Oslo, with primary clinical and research affiliation at Akershus University Hospital's Division of Medicine and Laboratory Sciences. His work bridges clinical neurology and dementia research, focusing on practical applications of biomarker science for improved diagnosis and monitoring of neurodegenerative conditions. Dr. Fladby's research program encompasses several critical areas in cognitive disorders: Development and validation of blood-based biomarkers for Alzheimer's disease, particularly phosphorylated tau (p-tau217) Establishment of Norwegian normative data for neuropsychological tests including D-KEFS and Rey Auditory Verbal Learning Test Investigation of relationships between amyloid pathology, tau pathology, neuroinflammation, and cognitive outcomes Studies on cognitive recovery following stroke and rehabilitation Examination of sex differences in neurodegenerative processes and biomarker expression His recent publications reveal a strong trend toward precision medicine applications in dementia diagnosis, with particular emphasis on making biomarker testing more accessible through blood-based methods. Significant work focuses on culturally appropriate cognitive assessment tools for Scandinavian populations, addressing a critical gap in dementia diagnosis. His research consistently examines how different pathological processes interact to produce cognitive symptoms, with implications for both diagnosis and treatment. Dr. Fladby actively collaborates with the Clinical Neuroscience Group at Akershus University Hospital, working within a multidisciplinary team that includes neurologists, neuropsychologists, and laboratory scientists. His work has direct clinical relevance for improving diagnostic accuracy in memory clinics and developing more effective monitoring strategies for patients with cognitive disorders.

• Security of Deep Learning Systems
• Side-Channel Attacks
• Privacy-Preserving Machine Learning
• +۳ مورد دیگر

Dr. Yuanyuan Yuan is a Researcher at the Department of Computer Science, ETH Zurich, Switzerland, based at CNB H 104.1, Universitätstrasse 6, 8092 Zurich. Her work bridges computer security and machine learning with a focus on practical vulnerabilities in deployed AI systems. Her research centers on exposing and mitigating security flaws in deep learning deployments, particularly targeting trusted execution environments (TEEs) and on-device inference systems. Key contributions include pioneering side-channel attacks against TEE-shielded neural networks (CipherSteal, HyperTheft), bit-flip attack surfaces in DNN executables (BitShield), and novel testing methodologies for neural network robustness. She investigates cache/timing side channels, ciphertext analysis, privacy leakage in partitioned ML, and concept-based explainability. Analysis of her 2023-2025 publications reveals a cohesive focus on offensive security research for AI infrastructures, with consistent contributions to top venues in security and machine learning. Her work demonstrates expertise in low-level system interactions (memory, cryptography) applied to ML security, spanning attack vectors, defensive mechanisms, and validation frameworks. The research trajectory shows increasing sophistication in exploiting hardware-software interfaces while developing practical hardening techniques for real-world deployments.

Marc Helblingمشاهده پروفایل

استاد

• Immigration and citizenship politics
• Nationalism
• Xenophobia
• +۴ مورد دیگر

Prof. Marc Helbling is a Full Professor of Sociology of Migration and Integration at the University of Mannheim and Research Fellow at the WZB Berlin Social Science Center. He is a member of the German Expert Council on Integration and Migration. Previously, he held positions at the University of Bamberg and led the IMPIC research group at WZB. His research focuses on immigration policies, nationalism, xenophobia, and Islam in Europe. He has taught at Princeton, Harvard, and NYU, and was a member of The Young Academy (Berlin-Brandenburg Academy). Education: PhD in Political Science, University of Zurich Studies in Political Science at the University of Lausanne and Sciences Po Paris Research Interests: Dr. Helbling examines immigration and citizenship policies, nationalism, national identities, and the political implications of Muslim integration in Western Europe. His work bridges comparative politics, migration studies, and sociology, with a focus on cultural conflicts, policy effectiveness, and public opinion dynamics. Awards & Fellowships: Young Scholar Research Award (Mayor of Berlin) Fernand Braudel Fellowship (EUI) ARC Distinguished Visiting Fellowship (CUNY) Best Paper Award (Immigration Research Network) Grants & Advising: He leads the IMPIC project on migration policy indices and collaborates on global climate-migration studies. His advising includes projects on political extremism measurement and Muslim integration. Ongoing research explores climate change impacts and ideological polarization. Labs/Teams: Directs the IMPIC database initiative and collaborates with the Mannheim Centre for European Social Research (MZES) on migration policy analysis.

Bronson Huiمشاهده پروفایل

استادیار

• Second Language Acquisition
• Applied Psycholinguistics
• Vocabulary Learning and Teaching
• +۴ مورد دیگر

Bronson Hui is an Assistant Professor of Second Language Acquisition at the University of Maryland, College Park, within the School of Languages, Literatures, and Cultures (SLLC). He is also a member of the Maryland Language Science Center. His research focuses on applied psycholinguistics, particularly second language acquisition in instructed contexts, multi-modal input, vocabulary learning, and open science practices. Hui holds a Ph.D. in Second Language Studies from Michigan State University, an M.S. in Applied Linguistics from the University of Oxford, and dual B.A./B.Ed. degrees in English Language and Education from the University of Hong Kong. Education: Ph.D., Second Language Studies, Michigan State University M.S., Applied Linguistics and Second Language Acquisition, University of Oxford B.A. & B.Ed., English Language and Linguistics / Language Education, University of Hong Kong His research interests include experimental methods in SLA, quantitative analysis, and the use of AI tools in meta-research. He has published in journals like Studies in Second Language Acquisition , Language Learning , and Applied Psycholinguistics . Hui serves on the editorial boards of TESOL Quarterly and Studies in Second Language Acquisition . He teaches courses such as Second Language Research Methodologies , Psycholinguistics , and Vocabulary Acquisition in Instructional Contexts . Hui actively advises graduate students in empirical studies, dissertation research, and grant proposals. His work emphasizes open science practices, including pre-registration, data sharing, and reproducible analyses. Hui has developed workshops on R programming for applied linguists, emphasizing ethical data practices and open-source tools. He collaborates internationally on projects like the ASReview tutorial for meta-research and has contributed to book projects on quantitative methods in applied linguistics.

George O'Dohertyمشاهده پروفایل

استاد

• Organic Synthesis
• Asymmetric Catalysis
• Carbohydrate Synthesis
• +۷ مورد دیگر

George O'Doherty is a Professor in the Department of Chemistry and Chemical Biology at Northeastern University, Boston, MA. His research focuses on organic synthesis, particularly carbohydrate and natural product synthesis, aimed at developing anti-cancer, anti-viral, and anti-microbial therapeutics. Using a methodology of De Novo Asymmetric Synthesis , O'Doherty's lab specializes in asymmetric catalysis to transform inexpensive achiral starting materials into enantiopure products. This approach enables Stereochemical-Structure Activity Relationship (S-SAR) studies and biomedical testing of complex molecules with biological relevance. Contact: Email: g.odoherty@northeastern.edu Phone: 617.373.4817 Mailing Address: 102 HT (Hurtig Hall), Boston, MA 02115 His publications are accessible via Google Scholar . Research outputs are also available through the O'Doherty Research Group .

Susanne B Hagaمشاهده پروفایل

استاد

• Genomics and Clinical Practice
• Pharmacogenetics
• Precision Medicine
• +۳ مورد دیگر

Susanne B Haga is a Professor in Medicine at Duke University's School of Medicine, with additional roles as an Associate Research Professor in the Sanford School of Public Policy and Biology (Trinity College of Arts & Sciences). She has been affiliated with Duke since 2012, serving in various capacities such as Executive Team Member of the Duke Center for Applied Genomics and Precision Medicine and Affiliate of the Duke Initiative for Science & Society. Her research focuses on translating genomics into clinical practice, emphasizing education for providers, patients, and the public. Dr. Haga earned her Ph.D. from the University of Maryland, Baltimore in 1999. Her work bridges multiple disciplines, including pharmacogenetics, precision medicine implementation, and healthcare ethics/policy. She has led numerous grants from institutions like the NIH and American Heart Association, addressing training programs, PGx integration, and genomic literacy. Her research interests highlight challenges in clinical PGx testing, patient education, and pharmacist roles in precision medicine. She has explored topics like informed consent practices, secondary findings in genetic testing, and the impact of genomic data on primary care workflows. Her outreach includes Bass Connections projects on precision health and community engagement initiatives. Awarded multiple grants (e.g., NHGRI, NIH), Dr. Haga has contributed to policy discussions and interprofessional education. She is actively involved in promoting genomic medicine through collaborations with Elsevier and Springer Nature, and her work has been featured in notable news articles on precision health and pandemic-driven science literacy.

Age Chapmanمشاهده پروفایل

استاد

• Data Provenance
• Decentralized Systems
• Machine Learning Ethics
• +۱ مورد دیگر

Age Chapman is Professor of Computer Science at the University of Southampton. She leads research in data provenance, decentralized systems, and ethical AI through projects like ESPRESSO focused on secure personal data search. Her work bridges computer science with healthcare, heritage preservation, and social justice applications. Research interests include: privacy-preserving data architectures, algorithmic fairness in healthcare, and provenance tracking for AI systems. She directs PhD research across these domains and collaborates with the Alan Turing Institute and healthcare organizations. Publications demonstrate strong focus on decentralized data management (80% of recent papers) with growing emphasis on AI ethics. Awards include the SIGMOD Test of Time Award for seminal provenance research. Current grants support work on sovereign data ecosystems and healthcare AI fairness. She leads the Digital Health and Biomedical Engineering research group and collaborates internationally through the Alan Turing Institute and European partnerships. Manages labs exploring data trust architectures and healthcare AI systems.

• Respiratory Physiotherapy
• Chronic Obstructive Pulmonary Disease (COPD)
• Pulmonary Rehabilitation
• +۱۰ مورد دیگر

Associate Professor Zoe McKeough is a physiotherapist and internationally recognized researcher at the University of Sydney , affiliated with the Discipline of Physiotherapy and the Charles Perkins Centre . Her work focuses on respiratory physiotherapy, particularly exercise training and sedentary behavior interventions in chronic lung diseases like COPD, cystic fibrosis, and dust-related conditions. Education : BAppSc(Physiotherapy) with distinction, PhD (2004) Her research explores pulmonary rehabilitation, telerehabilitation, digital health platforms (e.g., m-PR™ app), and Indigenous health initiatives (e.g., BE WELL project). She has published over 100 peer-reviewed papers and 132 abstracts, with 3191 citations. Recent publications highlight her work on COPD management , mHealth applications, behavioral interventions , and partnerships between GPs and physiotherapists. Her projects include optimizing oxygen use, reducing sedentary time, and improving chronic disease care through technology. Scientific Awards : REDI Fellowship (2022) She supervises 5 PhD students , 1 MPhil , and 1 Honours student , mentoring 10 PhD and 17 Honours completions. Her teaching includes cardiopulmonary physiotherapy in undergraduate and graduate programs. Current projects involve telerehabilitation , sedentary behavior reduction, mobile health platforms , and Indigenous COPD management. She collaborates with organizations like the Australian Physiotherapy Association , Thoracic Society of Australia and New Zealand , and Perx Health (industry partner).

Erzhuo Cheمشاهده پروفایل

استادیار

• Geomatics
• 3D Point Cloud Processing
• Lidar Data Analysis
• +۵ مورد دیگر

Erzhuo "Ezra" Che is an Assistant Professor in the Department of Civil and Construction Engineering at Oregon State University's College of Engineering. His research focuses on 3D point cloud processing, geospatial data analysis, and infrastructure asset management. He teaches courses in 3D laser scanning, digital terrain modeling, and advanced point cloud programming. Education: Ph.D., Civil Engineering (Geomatics), Oregon State University, 2018 M.S., Photogrammetry and Remote Sensing, Wuhan University, 2015 B.Eng., Photogrammetry and Remote Sensing, Wuhan University, 2012 His research interests include lidar technology applications, automated infrastructure assessment, deformation monitoring, and error modeling. Recent work emphasizes ADA compliance evaluation using 3D point clouds and mobile lidar for road marking analysis. Dr. Che has received notable awards such as the 2022 Geo Week Achievement Award and the 2021 Martin Isenburg Best Paper Award. His projects include mapping historical structures at Silver Falls State Park and developing frameworks for efficient point cloud segmentation. His teaching and research bridge geomatics with civil engineering challenges, focusing on practical solutions for infrastructure maintenance and disaster resilience.