جست‌وجوی استاد و پژوهشگر

Sanjeev Baskiyarمشاهده پروفایل

استاد

• Scheduling and Cloud Computing
• Computer Architecture
• Real-time and Embedded Computing
• +۱۱ مورد دیگر

Sanjeev Baskiyar is a Professor in the Department of Computer Science and Software Engineering at Auburn University's College of Engineering. He has been actively involved in research, teaching, and academic leadership, with a strong focus on computer systems, real-time and embedded computing, scheduling, cloud and fog computing, and energy-aware architectures. Education: Ph.D., Electrical and Computer Engineering, University of Minnesota M.S., Electrical and Computer Engineering, University of Minnesota B.S., Electronics and Communications, Indian Institute of Science, Bangalore B.S., Physics (with honors), and distinction in Mathematics Dr. Baskiyar’s research interests span scheduling, real-time and embedded systems, computer architecture, fog/cloud computing, thermal/energy-aware computing, and STEM education. His recent work explores machine learning applications in scheduling and quantum computing for fake news detection. He has supervised over 25 graduate students, many of whom now hold academic and industry positions. His recent publications emphasize fog computing simulation, service placement, quantum-inspired fake news detection, and adaptive scheduling using machine learning. These works reflect a trend towards intelligent, scalable, and energy-efficient computing systems, particularly in distributed and edge environments. Scientific Awards and Honors: Walker Teaching Excellence Award, Auburn University, 2020 Summer Faculty Fellow, Air Force Research Labs, 2020 Nominated Best Teaching Assistant, University of Minnesota, 1992 Multiples Merit and State-merit Scholarships Honors in Physics and Distinction in Mathematics Dr. Baskiyar has successfully advised numerous MS and PhD students and secured over $2 million in research funding as Principal Investigator from the National Science Foundation, DARPA, NASA, and industry partners like Wind River Systems and Mentor Graphics. His grants focus on parallel computing education, real-time micro-architectures, and embedded systems. He has also served on editorial boards, program committees, and as a reviewer for NSF and IEEE journals. He has held leadership roles including Senator in the University Faculty Senate and Chair of the E-day Committee. Labs and Research Groups: While not explicitly named, Dr. Baskiyar leads a research group focused on computer systems, scheduling, and embedded computing, as evidenced by his long list of graduate student supervision and funded projects in fog, cloud, and real-time systems.

Ellen Zweibelمشاهده پروفایل

استاد

• Plasma Astrophysics
• Astrophysical Magnetic Fields
• Interstellar Medium
• +۶ مورد دیگر

Ellen Zweibel is the W. L. Kraushaar Professor of Astronomy and Physics at the University of Wisconsin–Madison , where she has been a faculty member since 2003. She holds a joint appointment in the Department of Astronomy and Physics . Zweibel earned her undergraduate degree in Mathematics from the University of Chicago and her Ph.D. in Astrophysical Sciences from Princeton University. Her research focuses on plasma astrophysics , particularly the evolution of astrophysical magnetic fields , cosmic ray feedback in galactic and intergalactic environments, and stellar differential rotation dynamics. Recent work examines cosmic ray interactions with the interstellar medium, magnetic instabilities in galaxy clusters, and turbulence-driven dynamo processes. Zweibel's publications highlight collaborations on missions like HelioSwarm and SOFIA/HAWC+ , including the discovery of a magnetized dust ring in the Galactic Center . She leads NSF-funded research on microscale plasma processes in high-beta environments and contributes to understanding magnetic reconnection across astrophysical contexts.

• Plant Developmental Biology
• Epigenetics
• Plant Genetics
• +۵ مورد دیگر

Ueli Grossniklaus is an Ordinary Professor at the University of Zurich within the Faculty of Mathematical and Natural Sciences , affiliated with the Department of Plant and Microbiology . His work focuses on plant developmental biology, particularly epigenetic and genetic mechanisms governing reproduction and adaptation. Key Courses: Epigenetics, Plant Biology Workshop, Group Seminars on Current Research Laboratory Techniques: Advanced methods in plant cell mechanics, transcriptomics, and genome editing Research Interests span plant epigenetics, reproductive biology, and the interplay between environmental stress and genetic regulation. He investigates: Mechanistic control of gametogenesis and fertilization Epigenetic contributions to plant adaptation Evolutionary implications of asexual reproduction Biophysical forces in plant cell growth Publication Trends (2025–2018) reveal expertise in: Arabidopsis and fern model systems Epigenetic regulation (DNA methylation, histone dynamics) Apomixis and hybrid seed failure mechanisms Biomechanics of pollen tubes and carnivorous plants Genome editing tools (CRISPR) and long-read sequencing Scientific Collaborations include interdisciplinary projects on: Microfluidic devices for plant cell analysis Gene drive ecology and ethics 3D imaging of plant reproductive structures Advising and Grants focus on mentoring through research internships in developmental biology, genetics, and systems biology. His lab engages in: Epigenetic response to environmental stress Cell wall mechanics in reproduction Computational modeling of plant growth Laboratory Teams integrate plant biologists, bioengineers, and computational scientists to study: Mechanistic gene regulation Evolutionary developmental biology Microrobotics for cellular force measurement

• Algebra
• Category Theory
• Representation Theory
• +۳ مورد دیگر

Sira Helena Gratz is an Associate Professor at the Department of Mathematics, Aarhus University. Her research focuses on advanced topics in algebra and category theory, particularly cluster algebras, singularity categories, and tilting theory. She has published extensively in leading journals such as the Journal of the London Mathematical Society and Mathematische Zeitschrift. Her work often involves collaborations with other mathematicians, including G. Stevenson and A. Zvonareva. Her recent publications explore cluster structures for infinite singularities, lattices of t-structures in discrete cluster categories, and homotopy invariants in singularity categories. These works intersect with subfields like representation theory, homological algebra, and noncommutative geometry. Contact: sira@math.au.dk | Phone: +45 87 15 17 98 | Address: Aarhus C, 1530-428

Biliana Yontchevaمشاهده پروفایل

استاد

• Health Economics
• Empirical Methods
• Market Structure
• +۴ مورد دیگر

Prof. Dr. Biliana Yontcheva is Professor of Economics at the University of Hamburg's Faculty of Business, Economics and Social Sciences, specializing in Health Economics and Empirical Methods. Her research explores market outcomes through spatial econometrics, price transmission dynamics, and competition analysis across diverse sectors including healthcare, gasoline markets, and professional services. Focus on empirical modeling of market structures Expertise in spatial competition and entry models Key contributions to understanding asymmetric cost pass-through Analyzes consumer information effects on pricing Recent publications examine market delineation methodologies , vertical integration impacts , and income inequality-product variety relationships . Collaborates with researchers across Europe on topics like transition economy dynamics and regulatory frameworks. The team includes academic assistant Birte Stadtlich at the Economics Department.

S. Peng Ohمشاهده پروفایل

استاد

• Galaxy formation and evolution
• Physics of diffuse plasmas
• Cosmic rays
• +۴ مورد دیگر

S. Peng Oh is a Professor affiliated with the Department of Physics at the University of California Santa Barbara . Her research focuses on astrophysics and cosmology, particularly in understanding the formation and evolution of galaxies, the behavior of cosmic rays, and the dynamics of diffuse plasmas in the circumgalactic and intergalactic mediums. Research Interests: Galaxy formation and evolution; physics of diffuse plasmas; cosmic rays; turbulence; circumgalactic medium; galaxy clusters; intergalactic medium (IGM). Contact details include the email peng@physics.ucsb.edu .

• Malware Analysis
• Symbolic Execution
• Machine Learning
• +۳ مورد دیگر

Charles-Henry Bertrand Van Ouytsel is a Research Assistant and Visiting Lecturer at Université catholique de Louvain , affiliated with the Louvain Polytechnic School (EPL) and the Computer Engineering Center (INGI) . His work focuses on malware analysis , symbolic execution , and machine learning for cybersecurity applications. Research Areas : Packing detection, intrusion detection systems, side-channel security, and adversarial machine learning. Teaching : Involved in courses like Secured systems engineering (LINFO2144) and Software engineering and programming systems seminar (LINFO2359) . His recent publications emphasize malware obfuscation techniques and security evaluation frameworks . Collaborations with Axel Legay and others highlight his contributions to tool development (e.g., Packing-Box , SEMA ). No scientific awards are explicitly mentioned.

Zheshen Zhangمشاهده پروفایل

استاد

• Quantum Engineering
• Quantum Computing
• Quantum Communication
• +۴ مورد دیگر

Prof. Zheshen Zhang is a Professor in the Department of Electrical and Computer Engineering at the University of Michigan College of Engineering . He leads the Quantum Engineering Lab , focusing on harnessing quantum mechanical resources like entanglement to advance sensing, communication, and computing systems. Academic Rank: Professor Institution: University of Michigan School: College of Engineering Department: Electrical and Computer Engineering Research Interests: His work spans quantum engineering, emphasizing: Quantum computing architectures using continuous-variable cluster states Quantum communication via entanglement-assisted protocols Quantum sensing for precision metrology and dark matter detection Hybrid photonic circuits with Scandium Aluminum Nitride and Silicon Nitride Application of machine learning to quantum information processing Publications Trends: Recent articles highlight: Advances in integrated photonics for scalable quantum devices Development of entanglement-enhanced sensors for covert and precision applications Exploration of exceptional points in optical cavities for metrology Quantum network prototypes enabling open-access quantum computing Machine learning integration with quantum data acquisition

Amy Zavatskyمشاهده پروفایل

دانشیار

• Biomechanics
• Orthopaedic Biomechanics
• Gait Analysis
• +۴ مورد دیگر

Amy Zavatsky is a Reader in Engineering Science at the University of Oxford and Tutorial Fellow at St Edmund Hall, with faculty service since 1996. Her work bridges mechanical engineering and clinical orthopaedics, focusing on lower extremity biomechanics and gait analysis within the Department of Engineering Science. Education: BSc in Bioengineering, University of Pennsylvania DPhil in Engineering Science, University of Oxford (Thouron Award recipient) Research Focus: Prof. Zavatsky pioneers orthopaedic biomechanics research with emphasis on foot/ankle kinematics, knee osteoarthritis mechanisms, and gait compensations. Her work integrates theoretical modeling with in vitro experimentation to develop clinical applications for cerebral palsy, flatfoot, and running injuries. Current projects advance multi-segment foot modeling and cognitive-efficient data visualization for clinical gait analysis. Publication Trends: 2021-2025 works reveal three converging themes: (1) Open-source foot modeling ( OpenOFM ), (2) Data visualization for clinical decision-making, and (3) Sensor optimization using statistical methods. These publications consistently bridge engineering innovation with orthopaedic clinical practice through collaborations with the Oxford Gait Laboratory. Scientific Recognition: Philip Leverhulme Prize (2003) for outstanding early-career scholarship University Teaching Award (2008) for biomechanics instruction and MSc Biomedical Engineering development Departmental Teaching Awards: Silver (2021), Bronze (2022) Institution of Mechanical Engineers Thomas Stephen Prize (1993) Academic Leadership: Prof. Zavatsky directs undergraduate engineering tutorials at St Edmund Hall while teaching mechanical/civil/biomedical engineering courses. She previously served as Director of Graduate Studies (2016-17), Acting MSc Biomedical Engineering Director (2006-07), and Junior Proctor (2012-13). Her DPhil supervision targets lower-limb biomechanics projects requiring strong engineering fundamentals. Research Infrastructure: Based at the Institute of Biomedical Engineering (Nuffield Orthopaedic Centre), she collaborates extensively with the Oxford Gait Laboratory. Her biomechanics research group utilizes motion capture systems and multi-segment modeling to translate engineering principles into clinical rehabilitation protocols.

Kawtar Najibمشاهده پروفایل

مدرس

• Social and Spatial Inequalities
• Islamophobia Studies
• Urban Segregation
• +۶ مورد دیگر

Kawtar Najib is a Lecturer in Human Geography at the Department of Geography and Planning , University of Liverpool , specializing in Social and Spatial Inequalities . She is affiliated with the Geographic Data Science Lab and Power, Space & Cultural Change research clusters. PhD : University of Franche-Comté, France Her research examines Islamophobia through mixed methods, analyzing spatialization across global, urban, and embodied scales. Key themes include racism , segregation , urban exclusion , and social justice . Recent work connects global issues of dehumanization , citizenship , and racism to localized geographies. Articles highlight trends in critical Muslim geographies , spatialized injustice , and policy responses to Islamophobia. Her book on 'Spatialized Islamophobia' conceptualizes multi-scalar dynamics of discrimination. Marie Curie Sklodowska Postdoctoral Fellowship She teaches modules on Social and Spatial Inequalities , Geographic Data Science , and Human-Environmental Interactions , with advisory roles for the All-Party Parliamentary Group on British Muslims and European Parliament . Her research impacts policy through collaborations with NGOs, contributions to the European Islamophobia Report , and media engagements addressing anti-Muslim violence and social justice .

John Z. Ayanianمشاهده پروفایل

استاد

• Health Equity
• Health Care Disparities
• Access to Care
• +۴ مورد دیگر

John Z. Ayanian serves as the Alice Hamilton Distinguished University Professor of Medicine and Healthcare Policy at the University of Michigan, holding joint appointments as Professor of Internal Medicine in the Medical School, Professor of Health Management and Policy in the School of Public Health, and Professor of Public Policy in the Gerald R Ford School of Public Policy. As inaugural Director of the Institute for Healthcare Policy and Innovation (IHPI), he leads a consortium of 700 faculty members across 15 schools and maintains clinical practice as a general internist at Michigan Medicine. His academic foundation includes a Bachelor of Arts in history and political science from Duke University (1982), medical degree from Harvard Medical School (1987), and master's in public policy from Harvard Kennedy School (1987), followed by residency and fellowship at Brigham and Women’s Hospital and post-doctoral training in health services research at Harvard School of Public Health. Dr. Ayanian's research program investigates health equity, access to care, and quality of care with particular attention to social determinants including race/ethnicity, gender, socioeconomic status, and insurance coverage. His work critically examines Medicaid expansion impacts, Medicare Advantage disparities, and policy responses to health inequities, often utilizing large-scale claims databases and cross-institutional collaborations. Current projects include the federally-authorized evaluation of Michigan's Medicaid expansion program serving over 700,000 adults. Analysis of his 15 most recent publications (2025) reveals three dominant research thrusts: (1) Medicare Advantage vs Traditional Medicare comparisons across diverse clinical conditions, (2) Medicaid policy evaluation including unwinding impacts and expansion effects, and (3) innovative measurement of health equity through new indices and AI applications. His work consistently emphasizes methodological rigor in health services research while maintaining strong policy relevance. His scientific honors include: Election to the National Academy of Medicine Master status in the American College of Physicians John Eisenberg National Award for Career Achievement in Research Distinguished Investigator Award from AcademyHealth Election to Alpha Omega Alpha and Association of American Physicians Dr. Ayanian leads the federally-funded Healthy Michigan Plan evaluation team of 15 faculty members and serves as founding Editor-in-Chief of JAMA Health Forum, previously holding editorial positions at the New England Journal of Medicine. His research receives substantial federal support focused on health policy evaluation, with particular emphasis on vulnerable populations. He actively mentors students and junior faculty across multiple disciplines. As Director of IHPI, he fosters interdisciplinary collaboration across 15 schools at the University of Michigan. His leadership extends to center memberships in AI and Digital Health Innovation, Caswell Diabetes Institute, and Center for Global Health Equity, where he promotes data-driven solutions to health disparities through cross-campus partnerships and innovative research methodologies.

Allison M McFallمشاهده پروفایل

عضو هیئت علمی

• HIV Epidemiology
• Key Populations
• People Who Inject Drugs
• +۷ مورد دیگر

Allison McFall is an Assistant Research Professor in the Department of Epidemiology at Johns Hopkins University Bloomberg School of Public Health. Her work focuses on HIV epidemiology among key populations in India, particularly people who inject drugs (PWID) and men who have sex with men (MSM). Primary Division: Infectious Disease Epidemiology Active Since: 2013 Her research emphasizes optimization of HIV prevention, care, and treatment systems. Key methodologies include: Respondent-driven sampling Monitoring and evaluation of service delivery Electronic database design for epidemiological research Recent publications analyze: Antiretroviral therapy outcomes in PWID and MSM HCV treatment adherence support HIV self-testing technologies Geospatial targeting for health services McFall's work spans 59 research outputs with active collaborations across India on viral hepatitis-HIV coinfections and integrated care models.

• Artificial Intelligence
• Multi-agent systems
• Machine learning
• +۵ مورد دیگر

Toshiharu Sugawara is a Professor in the Department of Computer Science and Engineering at Waseda University's Faculty of Science and Engineering, School of Fundamental Science and Engineering, a position he has held since April 2007. With a Ph.D. in Engineering from Waseda University, his research spans multiple domains in artificial intelligence and multi-agent systems, maintaining active collaborations across international institutions and contributing significantly to the field through numerous publications and awards. Dr. Sugawara received his BS and MS degrees in Mathematics from Waseda University in 1980 and 1982, respectively, followed by his Ph.D. in 1992. Before joining Waseda University as faculty, he worked as a Research Scientist at NTT Laboratories from 1982 to 2007, with a visiting researcher position at the University of Massachusetts at Amherst in 1992-1993. He also held part-time lecturer positions at University of Electro-Communications (2003-2007), Waseda University (2004-2006), and Tokyo University of Agriculture and Technology (1990-1991). His research interests focus on artificial intelligence with particular expertise in multi-agent systems, machine learning, cooperation and coordination mechanisms, soft computing, computational social science, and social informatics. His work bridges theoretical foundations with practical applications in network management and information systems. Recent publications demonstrate a strong trajectory toward interpretable multi-agent reinforcement learning, efficient path planning algorithms, and modeling social behaviors in complex networks. His research group has made significant contributions to multi-agent path finding, cooperative task execution, and understanding virtual economies in social media platforms. Dr. Sugawara has received numerous prestigious awards including multiple Best Paper Awards at JAWS conferences (2014, 2015, 2018), ACM SAC 2015, and various research paper awards from Japanese academic societies. His work on multi-agent systems has been consistently recognized for its theoretical rigor and practical impact. As an advisor, Dr. Sugawara has mentored numerous students who have become prominent researchers in their own right, with many co-authoring papers that have received awards. His laboratory maintains strong collaborations with industry partners, particularly in the areas of network management and intelligent systems. Current research directions include developing interpretable multi-agent reinforcement learning frameworks, optimizing multi-agent coordination in constrained environments, and analyzing social dynamics in virtual economies.

• Condensed Matter Physics
• Quantum Materials
• Quantum Devices
• +۳ مورد دیگر

Hugh Churchill is a Professor in the Department of Physics at the University of Arkansas, College of Arts & Sciences. His research focuses on quantum materials and devices, particularly condensed matter physics with applications in 2D systems and quantum transport. Education: PhD in Physics from Harvard University, BA in Physics and BM in Music Performance from Oberlin College Recent research trends include studies on 2D materials like transition metal dichalcogenides and black phosphorus, investigating quantum transport phenomena, supercurrent tuning, strain engineering for exciton control, and applications of machine learning in quantum material discovery. His work also explores THz emission mechanisms and quantum noise mitigation strategies. Arkansas Research Alliance Fellow Presidential Early Career Award for Scientists and Engineers NSF CAREER Award ORAU Powe Junior Faculty Award AFOSR Young Investigator Connor Faculty Fellowship Hugh teaches graduate and undergraduate courses in quantum mechanics, modern physics, and 2D materials, including PHYS 5413 Quantum Mechanics I and PHYS 6713 Condensed Matter Physics II.

• 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.