جست‌وجوی استاد و پژوهشگر

• Medical Imaging
• Neurology
• Oncology
• +۳ مورد دیگر

Mihai Giurcanu is a Research Professor in the Department of Public Health Sciences at the University of Chicago. His work focuses on medical imaging techniques, particularly in neurology and oncology, with a strong emphasis on MRI advancements for diagnosing conditions like stroke and cancer. Giurcanu collaborates widely, evidenced by co-authorships with experts in radiology, oncology, and public health. His research spans over 15 years, with notable contributions in tumor hypoxia imaging, stroke collateral assessment, and prostate cancer detection. He has also explored public health interventions, such as HIV prevention strategies and preconception care utilization, reflecting his interdisciplinary approach. Giurcanu’s publications often bridge clinical practice and innovation, addressing both technical imaging challenges and broader healthcare system efficiencies. His work in interhospital stroke transfers highlights practical applications of research to improve patient outcomes. Despite no listed awards, his extensive publication record (over 100 papers) underscores his academic impact. He is affiliated with the University of Chicago’s Department of Public Health Sciences, contributing to its research initiatives in medical imaging and global health.

Sheldon Andrewsمشاهده پروفایل

دانشیار

• Real-time physics simulation
• Articulated mechanism simulation
• 3D character animation
• +۵ مورد دیگر

Sheldon Andrews is an Associate Professor of Software Engineering and IT at École de technologie supérieure (ETS) in Montreal, Canada, with an adjunct appointment in Computer Science at McGill University. He is a member of the Multimedia Research Laboratory and has established himself as a leading researcher in physics-based computer animation and simulation. Andrews earned his Ph.D. in Computer Science from McGill University (2015), MASc in Electrical and Computer Engineering from the University of Ottawa (2007), and B.Eng. in Computer Engineering from Memorial University (2004). His academic journey reflects a strong foundation in both theoretical and applied aspects of computer engineering and graphics. His research focuses on real-time physics simulation, articulated mechanism simulation, 3D character animation, motion capture, computational contact mechanics, and virtual environment modeling. Andrews' work bridges the gap between theoretical physics and practical applications in computer graphics, with particular emphasis on creating physically plausible animations that can run in real-time. His research has significant implications for video games, virtual reality, and robotics applications. Analysis of his recent publications (2022-2025) reveals a strong trend toward increasingly sophisticated physics-based character animation techniques, with growing integration of machine learning approaches. His work spans multiple subfields including collision detection, deformable object simulation, vehicle physics, and reinforcement learning for character control, demonstrating both breadth and depth in his research program. VRIPHYS 2012 best paper award for 'Policies for goal directed multi-finger manipulation' Andrews has advised numerous graduate students through their PhD and Master's degrees, with many going on to positions at major companies like DNEG, CM Labs Simulations, and AMD. His professional service is extensive, having served as Program Chair for SCA 2025 and MIG 2024, Conference Chair for I3D 2019, and on program committees for major conferences including SIGGRAPH, SCA, and MIG for multiple years. He has also been active in the Montreal SIGGRAPH Chapter as Secretary from 2018-2021. As a core member of the Multimedia Research Laboratory, Andrews collaborates with researchers across multiple disciplines to advance the state of the art in physics-based simulation. His lab maintains strong industry connections, including a visiting researcher position at Roblox Research, ensuring that theoretical advances translate to practical applications in gaming and virtual environments.

Emilie Frenkielمشاهده پروفایل

مدرس

• Contemporary Chinese politics
• Participation and deliberation in China
• Media and public space
• +۵ مورد دیگر

Emilie Frenkiel is a Lecturer in Political Science at the University of Paris-Est Créteil (UPEC) within its Faculty of Administration and International Exchanges, and a Researcher at LIPHA (Hannah Arendt Interdisciplinary Political Laboratory), serving as Vice-director and head of its seminar. Her work focuses on Contemporary Chinese politics , including participation mechanisms, media dynamics, and hacktivism in Taiwan. She also engages with democratic theory, the history of ideas, and the global circulation of sociopolitical concepts. Her research explores topics such as political deliberation in China, new media’s role in public space, and the intersection of technology and governance. She has authored influential books like *Conditional Democracy* (2015) and *Talking Politics in China* (2014), and contributed to peer-reviewed journals and edited volumes. Frenkiel is an editorial board member of *La Vie des idées*, fostering interdisciplinary dialogue through publications and academic events. Her publications reflect a multidisciplinary approach, bridging Chinese studies with global political theory. Recent works analyze intellectual debates on political reform in China and the evolving role of youth in political engagement. While no formal academic awards are listed, her prolific output underscores her scholarly impact in East Asian political analysis. Her research affiliations include LIPHA, where she coordinates seminars and drives collaborative projects. Frenkiel’s work often addresses under-explored areas such as hacktivism in Taiwan and the transnational flow of sociological ideas, positioning her as a pivotal figure in contemporary Chinese political studies.

• Circadian Rhythm
• Dynamics
• Neuroscience
• +۳ مورد دیگر

Casey Diekman is a Professor in the Department of Mathematical Sciences at New Jersey Institute of Technology (NJIT). His research focuses on mathematical and computational modeling of circadian rhythms, neural dynamics, and physiological systems. He has led NSF-funded projects, including studies on circadian clock mechanisms, neuronal data assimilation, and hybrid modeling of Alzheimer’s disease. His work integrates biophysical models with machine learning to study systems like cardiac electrophysiology and respiratory control. Roles: Professor, PI of multiple NSF grants Key Collaborations: Projects with researchers in neuroscience, cardiology, and computational biology Education & Background: While specific educational details are not provided, his academic position implies advanced training in applied mathematics or systems biology. Research Interests: Circadian rhythms, entrainment dynamics, computational modeling of biological systems, and applications in health (e.g., arrhythmias, neurodegenerative diseases). His work bridges mathematical theory and experimental data to address clinical problems like drug timing and respiratory failure. Grant Highlights: NSF GOALI (2022–2026): Integrates deep learning and mechanistic models for circadian clock neurons and Alzheimer’s disease NSF Career (2016–2021): Developed data assimilation tools for circadian rhythm studies NSF (2014–2017): Modeled circadian clock mechanisms from synapse to gene Recent Research Trends: Publications since 2022 focus on circadian impacts on drug safety, respiratory control during SARS-CoV-2 infection, and Alzheimer’s disease modeling using deep learning. His work often emphasizes interdisciplinary approaches to understand biological timing and its disruptions. Awards & Recognition: While specific prizes are not listed, his extensive grant portfolio and citation count (792) reflect scholarly impact. Advising & Grants: Oversees research teams in circadian biology and computational neuroscience. Media coverage highlights breakthroughs like explaining ‘happy hypoxia’ in COVID-19 patients and antiarrhythmic drug timing risks. Labs/Teams: Engaged in collaborative projects with institutions like NIH and other universities, focusing on systems-level biological modeling.

Gert de Jongمشاهده پروفایل

مدرس ارشد

• Corporate Governance
• Ethical Leadership
• Accounting Ethics
• +۳ مورد دیگر

Dr. Gert de Jong is a Senior Lecturer at the Faculty of Business and Economics (FBE) of Hogeschool van Amsterdam, specializing in Corporate Governance & Leadership. His work focuses on ethical leadership, accounting ethics, and organizational integrity. He leads research projects such as 'Van Goede Huize,' investigating independent control functions in housing cooperatives. De Jong also explores ethical dimensions of artificial intelligence and its societal implications. He is affiliated with ORCID 0000-0001-8726-3783 . Research Interests: Corporate Governance, Ethics in Technology, Housing Cooperatives Management, and Independent Control Mechanisms. Key Projects: Van Goede Huize (2020–2022) : Principal Investigator studying independent control functions in Dutch housing associations. Teaching & Advising: Engages in educational contributions on ethical decision-making, professional ethics in accounting, and corporate governance. Supervised activities include 'Vakbekwaamheid en ethiek' and 'Morale besluitvorming.' Datasets: Owns datasets on interviews and surveys related to control functions and ethical AI, available via DOI links.

Jorge Bernal Bernabeمشاهده پروفایل

دانشیار

• Cybersecurity
• Internet of Things (IoT) Security
• Network Security
• +۷ مورد دیگر

Jorge Bernal Bernabe is an Associate Professor at the University of Murcia , affiliated with the Faculty of Informatics and the Department of Information and Communication Engineering . He holds a PhD in Computer Science from the University of Murcia (2015), focusing on 'Authorization and Trust Management in Distributed Systems Based on the Semantic Web.' His research group, Intelligent Systems and Telematics , explores cutting-edge cybersecurity solutions for IoT, 5G/6G networks, and privacy-preserving technologies. He is a key contributor to frameworks like OLYMPUS (privacy-aware identity management) and ARIES (European identity ecosystem). Education : PhD in Computer Science, University of Murcia (2015) Research Interests : His work centers on securing next-generation networks (e.g., 5G/6G), IoT privacy, federated learning applications for intrusion detection, blockchain-based identity systems, and policy-driven security enforcement. He emphasizes privacy-by-design principles and explores challenges in digital sovereignty and decentralized governance. Notable Projects : OLYMPUS: Oblivious identity management system ARIES: Pan-European identity framework ANASTACIA: Security agents for CPS/IoT INSPIRE-5Gplus: Cognitive security for 5G networks Labs/Teams : Active in the Intelligent Systems and Telematics Group , collaborating with industry partners on secure IoT deployments and 5G cybersecurity solutions.

Naveed Ashrafمشاهده پروفایل

مدرس ارشد

• Mechanical Engineering
• Automotive Engineering
• Vehicle Braking Systems
• +۳ مورد دیگر

Dr. Naveed Ashraf is a Senior Lecturer in the Department of Engineering at Manchester Metropolitan University, specializing in automotive and mechanical engineering. With over 20 years of research experience, his work focuses on vehicle braking systems, noise-vibration-harshness (NVH), and braking instabilities. He has contributed to numerous international conferences and peer-reviewed journals, addressing issues like brake squeal, disc-pad interface dynamics, and friction-induced vibrations. His professional memberships include the Institution of Mechanical Engineers (IMechE) and he holds Fellow status with the Higher Education Academy (UK). Dr. Ashraf teaches courses such as Engineering Mathematics, Experimental Mechanics, and Solid Mechanics and Dynamics at both undergraduate and postgraduate levels. Research Highlights: His research emphasizes the interplay between disc-pad interface dynamics and noise generation, with notable projects on stick-slip vibrations, pressure distribution measurement, and rotor asymmetry for noise reduction. He has pioneered methods to analyze dynamic center of pressure and its impact on brake performance. Awards and Professional Affiliations: Recognized as Chartered Engineer (CEng) and Fellow of the Higher Education Academy, he has also served as an external examiner and course assessor for multiple UK universities. Teaching Responsibilities: He contributes to the BEng (Hons) Mechanical Engineering program, delivering core modules that bridge theoretical principles with practical engineering challenges.

• High-performance Computing
• Energy-efficient Computing
• Machine Learning
• +۳ مورد دیگر

Dr. Ngoc Nha Vi Tran is an Associate Professor of Computer Science at UiT The Arctic University of Norway. She holds a PhD from UiT and was a visiting scholar at Rutgers University, USA. Her research focuses on high-performance and energy-efficient computing, machine learning, and bioinformatics. She is a member of the NORA.startup Steering Group and leads the Arctic Green Computing Group. Education: PhD in Computer Science (UiT), M.Sc. in Software Engineering via Erasmus Mundus (Blekinge Institute of Technology, Sweden & Technical University of Kaiserslautern, Germany). Research interests include energy-efficient algorithms, bioinformatics tools (e.g., vCOMBAT), and applications of machine learning in healthcare and robotics. She teaches courses such as INF-2200 Computer Architecture, INF-2900 Software Engineering, and INF-2202 Concurrent Programming. Her work spans computational models for antibiotic target-binding, runtime energy optimization (REOH framework), and power models for embedded systems (RTHpower/ICE). She contributed to the EXCESS project on energy-efficient computing systems. Labs/Teams: Arctic Green Computing Group, EXCESS consortium.

• Structural identifiability
• Observability analysis
• Nonlinear systems
• +۳ مورد دیگر

Alejandro F. Villaverde is a Ramón y Cajal research fellow at the Department of Systems & Control Engineering, Universidade de Vigo. His research focuses on structural properties of nonlinear systems, particularly structural identifiability and observability analysis. His primary research interests include: Structural identifiability of dynamic models Observability analysis of nonlinear systems Control theory and systems engineering Development of computational tools for model analysis Applications in systems biology and pharmacokinetics Villaverde's work centers on developing mathematical methods and software tools to analyze structural properties of nonlinear models. His most notable contributions include the STRIKE-GOLDD MATLAB toolbox and its Python counterpart StrikePy, which implement the FISPO algorithm for simultaneous assessment of state observability and parameter identifiability. His research has practical applications in systems biology, biochemical network analysis, and pharmacokinetic modeling where model validation and parameter estimation are critical. Among his scientific recognitions, he holds the prestigious Ramón y Cajal research fellowship, a competitive program in Spain supporting experienced researchers. Villaverde actively supervises students, with David Rey Rostro having developed the StrikePy toolbox under his supervision. His work demonstrates strong connections between theoretical control engineering and practical computational implementations, making structural analysis methods more accessible to researchers across various disciplines.

Anuj Sharmaمشاهده پروفایل

استاد

• Big Data Analytics in Transportation
• Data-Driven Decision Making
• Traffic Signal Systems
• +۳ مورد دیگر

Dr. Anuj Sharma is a Professor in the Department of Civil, Construction, and Environmental Engineering at Iowa State University, serving as Co-Director of the REACTOR Lab and Director of FAST-TrAC. He holds affiliations with InTrans, CTRE, and REACTOR, and is CEO of ETALYC Inc. His research focuses on big data analytics, traffic signal systems, and real-time transportation decision-making. Education: PhD in Civil Engineering, Purdue University, 2008 MS in Civil Engineering, Texas A&M University, 2004 BE in Civil Engineering, Regional Engineering College, Rourkela, India, 2001 Research Interests: Dr. Sharma’s work leverages big data to improve transportation systems, including real-time analytics, traffic signal optimization, and smart rural infrastructure. His lab, REACTOR, integrates multiple data streams for policy and operational decisions. Publications: His recent work spans driver behavior analysis, autonomous systems, and traffic safety, with a focus on data-driven solutions. Notable projects include congestion modeling and pandemic-era traffic adaptations. Awards: Social Analytics Strategic Network (SASNet) Fellow, 2016 Outstanding Reviewer (Journal of Transportation Engineering), 2014 Pikarsky Award for PhD Dissertation, 2008 Grants & Projects: Secured over $13M in funding for 32+ projects, including work on adaptive traffic control, AI-driven data analysis, and rural safety. Active roles in TRB committees and journal reviewing highlight his leadership in the field. Labs & Teams: Leadership at REACTOR Lab drives innovations in transportation data management and real-time systems, collaborating with agencies like Iowa DOT.

• Critical Central Banking
• Collateral Intermediation
• Shadow Banking
• +۷ مورد دیگر

Professor Daniela Gabor is a faculty member at the University of the West of England (UWE Bristol), affiliated with the Faculty of Business and Law and the Department of Accounting Economics & Finance . Her research focuses on critical macro-finance , with expertise in shadow banking, central banking, IMF policy, collateral systems, and transnational financial dynamics. Professor of Economics and Macro-Finance Member of the Bristol Centre for Economics and Finance Her work explores: Shadow banking systems and their implications for monetary theory, central bank policy, and sovereign bond markets Transnational banking in capital control deliberations and crisis management IMF conditionality and its role in shaping financial policy Recent publications address green financial regimes , derisking mechanisms , and the global dollar footprint , reflecting her engagement with climate finance and macroeconomic stability. She has received research funding from the INET and FEPS for projects on shadow money and capital markets union. Professor Gabor actively communicates her research through: Co-founding the blog criticalfinance.org Co-editing the Helicopter Money blog Twitter @DanielaGabor

Irwin J. Kurlandمشاهده پروفایل

دانشیار

• Metabolic Flexibility
• Diabetes Research
• Stable Isotope Metabolomics
• +۳ مورد دیگر

Dr. Irwin J. Kurland is an Associate Professor in the Department of Medicine (Endocrinology) at Albert Einstein College of Medicine. He directs the Stable Isotope Metabolomics Core within the Diabetes Research Center. His research focuses on understanding metabolic inflexibility in diabetes and its relationship to insulin resistance, leveraging advanced stable isotope-based flux methodologies combined with 'omics approaches. Dr. Kurland’s work integrates GC/MS profiling, metabolomics, and proteomics to dissect tissue-specific metabolic networks and their regulatory mechanisms, particularly involving acetyl CoA signaling and protein acetylation. Research Interests: Dr. Kurland investigates how metabolic dysregulation impacts cellular signaling pathways, emphasizing the role of acetyl CoA as a metabolic sensor. His lab develops tiered frameworks for metabolic analysis, starting with whole-body phenotyping (e.g., HR-dGTT tests) to guide multi-omic studies. Key areas include: Metabolic flexibility and fuel switching Acetylation-driven enzyme regulation Animal models of insulin resistance (e.g., PPAR alpha-null, MKR mice) Systems biology approaches to diabesity Publications Highlight: Dr. Kurland has contributed to seminal studies on Sirt6’s role in glucose homeostasis, lipogenesis regulation via CDK8, and the metabolic acetylome’s role in fuel switching. His work bridges basic research with translational applications, including patented methodologies like the hepatic recycling deuterated glucose tolerance test (HR-dGTT). Labs/Teams: As director of the Stable Isotope Metabolomics Core, he oversees cutting-edge facilities for flux phenotyping and metabolomic analysis. Collaborations with labs such as Accili, Haeusler, and Mostoslavsky expand his research into integrative metabolic networks and epigenetic regulation.

• Tuberculosis Pathogenesis
• Mycobacterium tuberculosis
• Cell Wall Physiology
• +۳ مورد دیگر

Christopher M. Sassetti is a Professor in the Department of Microbiology at the University of Massachusetts Chan Medical School (UMass Chan Medical School) and T.H. Chan School of Medicine. His research focuses on the pathogenesis of Mycobacterium tuberculosis, specifically understanding how the bacterium adapts to host environments, acquires nutrients, regulates its cell wall physiology, and survives antibiotic treatment. He completed his BS in Biology at Santa Clara University and his PhD in Immunology at the University of California, San Francisco. Dr. Sassetti leads the Sassetti Lab, which employs genetic, biochemical, and systems biology approaches to study tuberculosis. His work has identified critical metabolic pathways and survival mechanisms in M. tuberculosis, including cholesterol utilization and cell wall synthesis regulation. He holds additional academic roles in the Morningside Graduate School of Biomedical Sciences, including the Immunology and Microbiology Program, MD/PhD Program, and Postbaccalaureate Research Education Program. Recent research highlights include studies on host immune responses to tuberculosis, antibiotic efficacy under infection conditions, and the role of genetic interactions in pathogen survival. His lab has discovered that host fatty acid metabolism and autophagy pathways play key roles in restricting bacterial growth. Dr. Sassetti has been recognized as a Damon Runyon Foundation Scholar and has contributed to high-impact publications in Immunity , Science , and Cell . Current projects include understanding nutrient acquisition in vivo, phosphosignaling regulation of cell wall synthesis, and metabolic mechanisms driving antibiotic tolerance. Collaborative efforts with institutions like the Morningside Graduate School and global networks drive translational research toward novel tuberculosis therapies and vaccines.

Evelien de Oldeمشاهده پروفایل

استادیار

• Sustainability Assessment
• Circular Agriculture
• Food Systems Governance
• +۵ مورد دیگر

Dr. Evelien de Olde is an Assistant Professor at the Animal Production Systems group of Wageningen University & Research. Her research focuses on sustainability assessment of livestock farming systems, governance of food systems, and certification systems in agriculture. She holds a double PhD in Sustainable Development of Agriculture (Aarhus University and Wageningen University) and MSc degrees in Landscape Architecture and Animal Science. Her work emphasizes circular agriculture, policy coherence, and equity in food system transitions. Education: PhD: Sustainable Development of Agriculture (2017, Aarhus University, Denmark & Wageningen University, Netherlands) MSc: Landscape Architecture and Spatial Planning (Wageningen University) MSc: Animal Science (Wageningen University) Research Interests: Sustainability certification and governance in livestock systems Circular agriculture and bioeconomy transitions Equity and justice in food system transformations Policy analysis for biodiversity conservation Recent Work Trends: Her recent publications address sustainability standards, circular agriculture implementation barriers, and the role of young farmers in transitioning to sustainable practices. She collaborates on projects such as CAN-DO-IT and Connected Circularity, focusing on Dutch regional initiatives. Advising & Grants: Supervises PhD students including Mariana Debernardini (Circular Agriculture in North-Netherlands) and Jelle Silvius (Circular Agriculture Governance). Engaged in EU-funded projects like MAGIC and ANIMALFUTURE. Labs/Teams: Lead researcher in the Animal Production Systems group, contributing to interdisciplinary teams exploring sustainable livestock systems and policy frameworks.

Allan Englishمشاهده پروفایل

استاد

• Military History
• Canadian Armed Forces (CAF) Culture and Leadership
• Veteran and Family Health
• +۵ مورد دیگر

Allan English, a Professor at Queen's University, is a leading scholar in Canadian military history and culture. With a PhD from Queen's (1994) and an MA in War Studies from the Royal Military College of Canada (RMC) (1987), he brings 25 years of Royal Canadian Air Force and CAF service as an air navigator and educator to his academic work. Military history, culture, and leadership Veteran and family health Human behavior in war Air warfare analysis His research critically examines CAF transformation initiatives, leadership paradigms, and cultural competency in military contexts. A 2015 Queen’s University Award recognized his graduate supervision excellence. Recent publications analyze sexual misconduct crises, doctrinal evolution, and ethical dissonance, reflecting his commitment to improving CAF institutional integrity. Teaching courses like The Human Dimension of War and Canada at War , English bridges historical analysis with contemporary military challenges. His work emphasizes the need for nuanced understanding of military culture and its impact on operational effectiveness and personnel well-being.