جست‌وجوی استاد و پژوهشگر

Catherine Greenمشاهده پروفایل

دانشیار

• Chromosome Dynamics
• DNA Replication
• Genomic Instability
• +۳ مورد دیگر

Professor Catherine Green is an Associate Professor at the University of Oxford, jointly appointed at the Wellcome Trust Centre for Human Genetics within the Nuffield Department of Medicine and also affiliated with the Department of Zoology at the University of Cambridge. She leads the Chromosome Dynamics Group , focusing on fundamental questions surrounding DNA replication and genome stability in mammalian cells. Her research investigates the intricate choreography of proteins at replication forks, particularly the multifaceted roles of the sliding-clamp protein PCNA. By mapping the full complement of PCNA interactors and dissecting how these interactions shift under replication stress, her team seeks to uncover how genomic instability and cancer-driving alterations arise. Additional projects explore the three-dimensional architecture of replication foci, the transmission of epigenetic marks during DNA synthesis, and the identification of substrates for protein methyltransferases that fine-tune chromatin states. The recent publication record underscores her dual commitment to basic chromosome biology and translational medicine: from mechanistic studies on aluminium-induced genomic instability (2020) to high-impact clinical trials of the ChAdOx1 nCoV-19 (AZD1222) vaccine across multiple continents (2020–2021). These articles collectively highlight her expertise in molecular medicine, cancer genomics, immunology, and large-scale clinical vaccinology. Contact & Affiliations: Email: cmg1003@well.ox.ac.uk Web: NDM Profile Address: Henry Wellcome Building of Genomic Medicine, University of Oxford

Karim Cherifiمشاهده پروفایل

پژوهشگر

• Control Theory
• Numerical Analysis
• Port-Hamiltonian Systems
• +۳ مورد دیگر

Karim Cherifi is a Researcher at the Institute of Mathematics , Technical University of Berlin, within the College of Mathematics and Natural Sciences. His academic journey includes a PhD in Control Theory (2015–2019) and postdoctoral work at the Max Planck Institute Magdeburg (2019–2020). Since 2021, he contributes to the ProFIT project "Electric Drives 2.0" at the Werner von Siemens Centre (WvSC). 2010–2013: Bachelor in Electrical and Electronic Engineering 2013–2015: Master in Control Engineering 2015–2019: PhD in Control Theory His research focuses on Control Theory , Numerical Analysis , and Port-Hamiltonian Systems , with applications in Linear Systems , Data-driven Modeling , and Model Reduction . Key trends include geometric formulations for discrete-time systems, dissipativity analysis, and integration of energy-based models with machine learning. Notable scientific recognition includes the DAAD Scholarship (2018) . His work spans publications on topics like structure-preserving interconnections, digital twin simulations, and data-driven realization techniques. Affiliated with the Institute of Mathematics at TU Berlin, he is based in Room MA 469 and collaborates within the Numerical Analysis research group.

Eric L. Sevignyمشاهده پروفایل

دانشیار

• Drugs and Crime
• Public Policy
• Sentencing and Incarceration
• +۴ مورد دیگر

Eric L. Sevigny is an Associate Professor in the Department of Criminal Justice & Criminology at the Andrew Young School of Policy Studies, Georgia State University, where he conducts research at the intersection of drugs, crime, and public policy. He received his PhD in Public and International Affairs from the University of Pittsburgh in 2006, establishing his foundation in policy analysis and criminological research. Dr. Sevigny's research focuses on: Sentencing and incarceration dynamics Drug court effectiveness Measurement of drug-related problems including cryptomarkets Public health, safety, and economic impacts of marijuana policy reforms Cannabis market structures and grower behaviors His recent publications (2020-2025) demonstrate a concentrated focus on cannabis policy evaluation through international comparative studies, with recurring themes in small-scale cultivation practices, cryptomarket analysis, and the societal impacts of marijuana legalization. These works span criminology, public health, and policy analysis journals, reflecting interdisciplinary methodological approaches including systematic reviews, cross-national surveys, and evidence mapping. Dr. Sevigny has secured research funding from the Office of National Drug Control Policy and the National Institute on Drug Abuse (NIDA) for studies examining drug problem measurement and marijuana policy effects. His current NIDA-funded systematic review analyzes societal impacts of state marijuana law changes. He is affiliated with Georgia State's Evidence-Based Cybersecurity Research Group (EBCS), where he investigates drug policy-cybersecurity intersections, particularly regarding cryptomarkets and darknet intelligence.

Ondrej Vaculinمشاهده پروفایل

استاد

• Passive Vehicle Safety
• Automated Driving
• Vehicle Dynamics
• +۳ مورد دیگر

Prof. Ondrej Vaculin, Ph.D., is a Professor at Technische Hochschule Ingolstadt (THI), specializing in passive vehicle safety, mechatronic systems, and automated driving. He joined THI in 2018 and previously held roles at TÜV SÜD Prague (2008–2018) as Vice President for Safety and Security in Automotive, and as a researcher at Czech Technical University (2005–2008) and DLR Oberpfaffenhofen (2000–2005). His research focuses on enhancing vehicle safety through advanced simulation, sensor integration, and machine learning applications. Education: Ph.D. in Mechanics of Solids, Deformable Bodies and Continua from Czech Technical University in Prague (2001), and a degree in Technical Cybernetics from the Faculty of Electrical Engineering at the same university (1991). His work bridges theoretical research and practical implementation, addressing challenges in automated driving systems, crash simulation, and human body diversity in safety design. Research interests include passive safety systems, autonomous vehicle dynamics, and infrastructure integration for safety enhancements. Recent publications emphasize collaborative smart infrastructure, sensor fusion for free space detection, and machine learning in crash detection. He actively contributes to FISITA, serving as a Council Delegate and member of technical committees. Awards/memberships: Active in FISITA, holding leadership roles in technical committees. No explicit awards listed, though his contributions to automotive safety standards are notable. Grants and advising: While no specific grants or students are detailed, his extensive industry and academic collaborations (e.g., IN2Lab testing field projects) highlight his role in applied research and development.

Olga Smirnovaمشاهده پروفایل

استاد

• Nonlinear Optics
• Attosecond Science
• Strong-Field Physics
• +۴ مورد دیگر

Prof. Olga Smirnova is a leading researcher at the Max Born Institute for Nonlinear Optics and Short Pulse Spectroscopy, heading the Strongfield Theory Group. Her work focuses on ultrafast phenomena, attosecond science, and quantum control in strong laser fields. She specializes in chiral dynamics, valleytronics, and high-harmonic generation, with contributions to understanding spin polarization and enantiosensitivity in molecular systems. Research interests include manipulating light-matter interactions at attosecond timescales, exploring topological photonics, and developing novel spectroscopic techniques like TACOS (Terahertz-Assisted Chiro-Optical Spectroscopy). Her theoretical advancements bridge fundamental physics and applications in chiral discrimination, ultrafast imaging, and valleytronics in 2D materials. Recent studies highlight discoveries such as multi-THz quantum beats in superfluorescent emission and polarization-shaped control of valley polarization in MoS 2 . Her work frequently interfaces with experimental groups, driving advancements in free-electron laser technologies and attosecond interferometry. Awards: Ahmed Zewail Award in Ultrafast Science and Technology (2020) Collaborations: Extensive international partnerships with institutions like DESY, Lund University, and the University of Rostock. Labs/Groups: Strongfield Theory Group at MBI, focusing on theoretical and computational modeling of ultrafast processes in intense laser fields.

Niyousha Hosseinichimehمشاهده پروفایل

دانشیار

• Health Systems Engineering
• Public Health Policy
• System Dynamics Modeling
• +۴ مورد دیگر

Niyousha Hosseinichimeh is an Associate Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech's College of Engineering. Her research focuses on improving health and healthcare systems through system dynamics modeling and simulation. She holds a Ph.D. in Public Policy from SUNY Albany (2012) and a B.S. in Mechanical Engineering from Sharif University of Technology (2001). Her work addresses complex issues like adolescent drinking/driving behaviors, major depressive disorder, and infant mortality. Methodologically, she advances calibration techniques for dynamic models and group model-building approaches. Her research has been funded by NIH, NSF, and the Ohio Department of Health. Notable contributions include modeling the hypothalamus-pituitary-adrenal axis and developing tools for rapid parameter estimation in system dynamics. She advises students such as Alba Rojas-Cordova (winner of multiple awards) and Arash Baghaei Lakeh. Her grants include projects on depression dynamics and emergency department utilization. Her work intersects systems engineering, public health, and computational methods, emphasizing practical policy and clinical applications.

• Juvenile Justice
• Child Welfare
• Conduct Problems
• +۷ مورد دیگر

Dr. Cindy M. Schaeffer is a Professor in the Department of Psychiatry at the University of Maryland, Baltimore School of Medicine, where she also serves as a Child-Clinical Psychologist. Her work centers on developing evidence-based interventions for youth involved in juvenile justice and child protective service (CPS) systems, addressing complex issues like criminal offending, substance abuse, trauma, and family violence. Education: Post-Doctoral Fellow, Prevention Science, Johns Hopkins Bloomberg School of Public Health (2000-2002) Ph.D. in Child-Clinical Psychology, University of Missouri (2000) Pre-doctoral internship, University of Maryland Division of Child and Adolescent Psychiatry (1999-2000) Research Focus: Dr. Schaeffer specializes in adapting Multisystemic Therapy (MST) for high-risk populations, including MST-Building Stronger Families for CPS-involved families with substance abuse and MST-IPV for cases involving intimate partner violence. Her work integrates ecological frameworks to address school dropout, deviant peer relationships, and ineffective parenting through family-based interventions and mobile health technology. Publication Trends: Her research (2005-2019) demonstrates consistent innovation in MST adaptations, juvenile justice interventions, and digital health integration. Key themes include real-world implementation of evidence-based treatments, mechanisms driving behavioral change in drug courts, and long-term outcomes for serious juvenile offenders. Grants and Leadership: As Principal/Co-Principal Investigator, she leads federally funded projects including NIJ research on reducing school discipline disparities, NIMH mobile technology enhancements for MST, Annie E. Casey Foundation evaluations of IPV interventions in child maltreatment, and NICHD studies on preventing problem sexual behavior. Professional Networks: She actively collaborates with MST Services (mstservices.com) and MST Canada (mstcan.com), providing clinical consultation to MST teams nationwide while developing scalable interventions for juvenile justice and child welfare systems.

Greg Goralogiaمشاهده پروفایل

پژوهشگر

• Plant Biotechnology
• Genetic Engineering in Woody Plants
• CRISPR/Cas9 Technology
• +۶ مورد دیگر

Greg Goralogia is a Researcher in the Department of Forest Ecosystems & Society at Oregon State University’s College of Forestry. He leads the Forest Biotechnology Laboratory, focusing on advancing genetic engineering techniques for trees and crops, with a particular emphasis on CRISPR/Cas9 applications, Agrobacterium-mediated transformation, and plant regeneration mechanisms. His work addresses critical challenges in sustainable forestry and agricultural biotechnology, including enhancing transformation efficiency, mitigating gene dispersal risks, and improving resistance to pathogens like powdery mildew. Research interests include photoperiodic flowering regulation, genome-wide association studies (GWAS) to identify key genes in plant development, and the molecular basis of plant regeneration pathways. He has pioneered transgene excision systems to streamline gene-editing workflows and developed tools for analyzing phenotypic data through RGB and hyperspectral imaging. His recent publications highlight breakthroughs in male sterility engineering in Eucalyptus, circadian clock modulation in Arabidopsis, and the role of phytohormones in Populus transformation. While no scientific awards are explicitly listed, his contributions to tree biotechnology have positioned him as a leader in innovative genomic approaches for clonal crops. Greg advises the Forest Biotechnology Laboratory team and collaborates on grants focused on sustainable forestry technologies. His research bridges fundamental plant biology with applied biotechnology, aiming to improve crop resilience and ecological sustainability.

• Transportation Engineering
• Sustainable and Resilient Infrastructure Systems
• Pavement Mechanics
• +۵ مورد دیگر

Imad Al-Qadi is the Grainger Distinguished Chair in Engineering and Director of the Illinois Center for Transportation (ICT) at the University of Illinois at Urbana-Champaign. He holds a Ph.D. in Civil Engineering from Penn State University and has held academic positions at Virginia Tech and Penn State. His research focuses on sustainable transportation infrastructure, pavement mechanics, and autonomous vehicles. Al-Qadi is a Fellow of the American Society of Civil Engineers (ASCE) and has served as Editor-in-Chief of the International Journal of Pavement Engineering . Education: B.S. (1984) Yarmouk University, M.Eng. (1986) and Ph.D. (1990) Penn State University. Affiliations: Past president of ASCE's Transportation and Development Institute, founder of the Academy of Pavement Science and Engineering. Key Projects: Illinois Autonomous and Connected Track (I-ACT), Illinois Center for Transportation, Smart Road research. His research emphasizes pavement sustainability, recycling optimization, and tire-pavement interaction. He has authored over 1,000 publications and led 180+ research projects funded by federal agencies and industry partners. Recent work includes energy harvesting from pavements and assessing impacts of electric vehicles on infrastructure. Al-Qadi has received prestigious awards including the NSF Young Investigator Award (1994) and TRB Roy W. Crum Distinguished Service Award (2023). He chairs international conferences and serves on technical committees, driving advancements in pavement science and transportation innovation.

• Generative Programming
• Model-Based Development
• Software System Families
• +۷ مورد دیگر

Krzysztof Czarnecki is a Professor at the University of Waterloo's Department of Electrical and Computer Engineering, with a cross-appointment to the School of Computer Science. He serves as leader of the Waterloo Intelligent Systems Engineering Lab and holds the title of University Research Chair. His research focuses on generative software development, model-driven engineering, and autonomous systems, particularly in automotive cybersecurity and perception safety. Education: Doctorate in Computer Science, Technical University of Ilmenau (1999) Master of Science in Computer Science, Technical University of Ilmenau (1995) Bachelor of Science in Computer Science, California State University (1994) Research Interests: Dr. Czarnecki's work spans generative programming, software product lines, and safety-critical AI for autonomous vehicles. Recent projects address robust perception systems, uncertainty quantification in neural networks, and strategic driving behavior modeling. He co-authored Generative Programming (Addison-Wesley, 2000), a foundational text in the field. Publications Trends: Recent work emphasizes multimodal AI integration (e.g., LEO-MINI), 3D object detection improvements (OV-SCAN), and safety assurance frameworks for autonomous systems. His research bridges theoretical software engineering with applied robotics challenges. Awards: Premier’s Research Excellence Award (2004) British Computing Society’s Upper Canada Award (2008) University Research Chair, University of Waterloo (2023) Teaching & Leadership: Teaches courses like ECE 495 (Autonomous Vehicles) and ECE 651 (Software Engineering Foundations). Oversees WatCAR initiatives and collaborates on industry projects through the NSERC Bank of Nova Scotia Industrial Research Chair (previous). Labs & Teams: Directs the Waterloo Intelligent Systems Engineering Lab, focusing on AI-driven solutions for autonomous systems and safety-critical software. Active in cross-disciplinary collaborations with automotive and robotics partners.

Li Liمشاهده پروفایل

استاد

• Visual perception
• Visuomotor control
• Eye-hand coordination
• +۴ مورد دیگر

Li Li is a Professor of Neural Science and Psychology at NYU Shanghai and a Global Network Professor at NYU. Her research focuses on visual perception, visuomotor control, eye-hand coordination, and virtual reality applications. Dr. Li earned her educational degrees from prestigious institutions: 1999 Ph.D. in Cognitive Science from Brown University 1995 M.A. in Cognitive Psychology from Stony Brook University 1992 B.S. in Psychology from Peking University Dr. Li's research program investigates fundamental processes of visual perception and motor control. Her lab employs interdisciplinary approaches that integrate psychophysics, neuroscience, computer science, and engineering to examine how humans perceive visual information, control self-motion, and integrate perception with motor actions. A significant portion of her work explores how visual information guides navigation and goal-directed movements, with applications to understanding visuomotor control in both healthy individuals and those with neuromotor disorders. Her research demonstrates consistent innovation in experimental paradigms for studying heading perception, optic flow processing, and the integration of motion and form cues for self-motion perception. Dr. Li's publication record shows a clear trajectory of research advancing our understanding of visual-motor integration across multiple contexts including natural navigation, virtual environments, and sports performance. Her work bridges basic science with practical applications in rehabilitation, human-computer interaction, and virtual reality technologies. Dr. Li actively collaborates with researchers across multiple disciplines as evidenced by her co-authorship patterns. Her laboratory at NYU Shanghai provides a dynamic environment for investigating the neural and cognitive mechanisms underlying visual perception and motor control, with recent work extending into 2025.

• Power Conversion
• Renewable Energy Integration
• Power Efficiency
• +۲ مورد دیگر

Yahia Baghzouz is Professor of Electrical and Computer Engineering at UNLV's College of Engineering. His expertise encompasses electrical power conversion, renewable energy grid integration, power efficiency optimization, and fuel cell systems. Research applications include unmanned aerial systems, electric vehicles, and sustainable energy infrastructure. Specializes in: Electric motor design and control Battery and super-capacitor hybrid systems Regenerative braking technologies Power conditioning systems Research contributes to advancing sustainable energy solutions and electrified transportation infrastructure.

John Dolanمشاهده پروفایل

استاد

• Robotics
• Autonomous Driving
• Human-Robot Interaction
• +۴ مورد دیگر

John Dolan is a Courtesy Professor in the Department of Electrical and Computer Engineering and a Senior Systems Scientist at the Robotics Institute of Carnegie Mellon University. He works in 3109 Newell-Simon Hall and focuses on creating systems that enable collaboration between robots and humans for practical tasks.

• Machine Learning
• Artificial Intelligence
• Computer Science
• +۳ مورد دیگر

Prof. Felix Bießmann holds a professorship in Computer Science and Media at Berlin University of Applied Sciences' Department VI. His research focuses on machine learning applications in diverse fields including healthcare, urban planning, environmental science, and robotics through his Cognitive Algorithms Lab. He teaches courses such as Machine Learning, Deep Learning, and Data Science Workflows, alongside roles at TU Berlin and Korea University. Education: PhD (Dr. rer. nat.) in Natural Sciences Research interests span machine learning theory and practical implementations across domains like computer vision, generative AI, and sensor data analysis. His work addresses challenges in automated systems, healthcare monitoring, and sustainable technologies. Recent student theses explore topics like license plate recognition, adaptive game soundtracks, and bird song detection using TinyML. Collaborations include projects with the Charité Berlin and Robert-Koch Institute. Lab: Cognitive Algorithms Lab (developing machine learning methods/applications) Contact: felix.biessmann@bht-berlin.de | Office D138, Berlin University of Applied Sciences.

• Control Engineering
• Automation
• Model Predictive Control
• +۵ مورد دیگر

Martin Steinberger is an Associate Professor at the Institute of Control and Automation (IRT) at Graz University of Technology (TU Graz). His work focuses on advanced control systems, networked control, model predictive control (MPC), and automation in manufacturing and autonomous systems. He leads research into real-time optimization, fault diagnosis, and safety-critical applications in industries like pharmaceuticals and automotive. Research interests include: Networked Control Systems Model-Based Control Autonomous Vehicle Trajectory Planning Process Automation Robotics and Industrial Automation His work bridges theoretical control engineering with practical applications in manufacturing lines, chemical processes, and autonomous driving. Recent studies emphasize digital real-time release testing for pharmaceuticals, universal control concepts for manufacturing systems, and safety-aware trajectory optimization for automated vehicles. His publications frequently address challenges in time-varying delays, packet loss mitigation, and robust observer design for nonlinear systems. Steinberger collaborates on EU-funded projects and regularly contributes to conferences like the International Workshop on Variable Structure Systems. His research often involves experimental validation, as seen in work with compact pharmaceutical manufacturing setups and small-scale autonomous vehicle testing platforms.