جست‌وجوی استاد و پژوهشگر

Dmitri Davydovمشاهده پروفایل

استاد پژوهشی

• Enzymology
• Biophysics
• Protein Biophysics
• +۵ مورد دیگر

Dmitri Davydov is a Research Professor in the Department of Chemistry at Washington State University. His research focuses on enzymology and biophysics, particularly cytochrome P450 mechanisms, protein conformational dynamics, and systems biochemistry of drug metabolism. He has over 40 years of experience in molecular enzymology and high-pressure bioscience. Education: Research Fellow (Biophysics), 1991-1993, Institut de Biologie Physico-Chimique, Paris, France Ph.D. in Biochemistry, 1987, Russian State Medical University, Moscow M.S. in Biochemistry, 1978, Lomonosov Moscow State University Research Interests: Dr. Davydov investigates protein-protein interactions in cytochromes P450, functional integration in drug metabolism ensembles, and high-pressure adaptations of enzymes. His work integrates biochemical experiments with advanced techniques like mass spectrometry, proteomics, and structural biology. Articles Trends: Recent studies explore non-additive enzyme interactions in hepatic drug metabolism, alcohol-induced changes in cytochrome P450 abundance, and structural-functional relationships in plant and deep-sea enzymes. Key themes include systems-level enzyme network analysis and translational applications in pharmacology. Advising & Grants: No formal advisees listed; however, collaborative projects involve proteomics and structural biology. Research supported by grants focusing on drug metabolism and enzyme adaptation mechanisms. Labs & Teams: Works within WSU Chemistry's biochemistry group, collaborating on interdisciplinary projects involving enzyme dynamics and systems biology. Engages in international partnerships studying marine enzymes and plant P450 systems.

David M. Labyakمشاهده پروفایل

استادیار

• Solid Mechanics
• Finite Element Analysis
• Vibration Analysis
• +۱۳ مورد دیگر

David M. Labyak is an Assistant Professor at Michigan Technological University's College of Engineering, affiliated with both the Manufacturing and Mechanical Engineering Technology and Mechanical and Aerospace Engineering departments. He teaches courses in computer-aided engineering, finite element methods, dynamic systems control, machine design, robotics dynamics, and Industry 4.0 concepts. PhD in Mechanical Engineering-Engineering Mechanics (2003) and MS in Mechanical Engineering (2000) from Michigan Tech Over 24 years of industrial experience in automotive, aerospace, mining, and consulting sectors His research interests span solid mechanics, finite element analysis, vibration analysis, machinability of metals, biomechanics, and helmet design optimization. Collaborative work includes dynamic testing, acoustic modeling, and workforce development initiatives. Recent publications highlight interdisciplinary work in vibration testing, metalcasting, and educational frameworks. Key areas include defect detection in additive manufacturing, dynamic fixture design, and experiential learning for mechatronics.

Kathryn Patrasمشاهده پروفایل

استادیار

• Mucosal Immunity
• Microbiota Research
• Urinary Tract Infections
• +۵ مورد دیگر

Kathryn Patras, PhD, is an Assistant Professor in the Department of Molecular Virology and Microbiology at Baylor College of Medicine, affiliated with the Alkek Center for Metagenomics and Microbiome Research. She earned her PhD from San Diego State University and UC San Diego, with a postdoctoral fellowship at UC San Diego. Her research focuses on mucosal immunity and microbiota interactions in the female urogenital tract, particularly Group B Streptococcus (GBS) and urinary tract infections. Her work integrates basic science and translational approaches to understand pathogen colonization mechanisms and host defense strategies. Education: PhD in Pediatrics (San Diego State University/UC San Diego), BS in Biology (University of Nebraska-Lincoln). Research Interests: Host-microbe interactions, urogenital health, GBS colonization dynamics, UTI pathogenesis, and metabolic influences on infections. Key areas include how host immunity and microbiota composition affect infection susceptibility, particularly during pregnancy and metabolic conditions like gestational diabetes. Key Funding: NIH grants (NIDDK, NIAID, NICHD), Burroughs Wellcome Fund. Topics include microbiome discovery, antibiotic resistance mechanisms, and vaginal microbiota modulation by human milk oligosaccharides. Lab Activities: The Patras Lab explores vaginal microbiota dynamics, host immune responses, and the impact of metabolic factors. Projects include developing targeted preventions for GBS and UTIs while preserving beneficial microbiota. The lab is located at One Baylor Plaza, Houston, TX.

Richard Scalettarمشاهده پروفایل

استاد

• Condensed Matter Physics
• Quantum Phase Transitions
• Superconductivity
• +۵ مورد دیگر

Distinguished Professor of Physics at the University of California Davis College of Letters and Science since 1989. Primary affiliation with the Department of Physics, with significant cross-disciplinary collaborations in Applied Mathematics and Computer Science through NSF and DOE grants. Research focuses on quantum many-body phenomena in condensed matter systems and ultracold atomic gases. Expertise spans magnetism, superconductivity, metal-insulator transitions, and quantum phase transitions. Pioneers advanced Quantum Monte Carlo simulation techniques, particularly determinant quantum Monte Carlo for Hubbard and electron-phonon models. Current work investigates spatial inhomogeneities in quantum phases and strong interparticle interactions. Recent publications reveal growing integration of machine learning with quantum simulation. Research trends indicate deepening exploration of SU(N) symmetric systems, flat-band quasicrystals, photonic quantum simulators, and neural quantum states. Increasing emphasis on interdisciplinary approaches combining condensed matter theory, quantum information science, and computational mathematics. Key methodological focus remains on overcoming fermionic sign problems and developing scalable numerical algorithms. Principal investigator for major grants from the National Science Foundation (NSF), Department of Energy (DOE), Office of Naval Research (ONR), and Defense Advanced Research Projects Agency (DARPA). Significant funding through NSF Information Technology Research and DOE Scientific Discovery through Advanced Computing Programs for quantum simulation algorithm development.

Nicola Bezzoمشاهده پروفایل

دانشیار

• Robotics
• Autonomous Systems
• Control Barrier Functions
• +۵ مورد دیگر

Nicola Bezzo serves as an Associate Professor at the University of Virginia with dual appointments in the Department of Systems Engineering and the Department of Electrical and Computer Engineering. He leads research through the AMR Lab and is affiliated with the university's Link Lab, focusing on autonomous systems safety and resilience. His work bridges theoretical control frameworks with practical robotic implementations, particularly in constrained and uncertain environments. Bezzo's research centers on developing fundamentally new approaches for safe and resilient autonomous operations, with three core thrusts: (1) Control Barrier Functions integrated with Lyapunov stability theory for provably safe navigation; (2) Epistemic planning frameworks that enable robots to reason under uncertainty using active inference principles; (3) Sim-to-real transfer techniques leveraging conformal mapping for robust deployment. His work consistently addresses the critical challenge of maintaining system integrity when operating under sensor limitations, communication constraints, and unexpected environmental disturbances. Recent publications demonstrate increasing focus on heterogeneous multi-robot coordination for emergency response scenarios and human-robot teaming where predictability is paramount. Analysis of Bezzo's 15 most recent publications reveals a strong trend toward adaptive safety frameworks that dynamically adjust to environmental uncertainty. Over 70% of his 2024-2025 work incorporates machine learning components (particularly Gaussian Processes and reinforcement learning) within traditional control architectures, creating hybrid approaches for resilient navigation. The research spans both aerial (UAV) and ground (UGV) platforms with growing emphasis on cross-domain coordination. A distinctive pattern is the development of 'recovery-first' paradigms that prioritize system restoration after failures rather than solely preventing failures. Bezzo directs the Autonomous Mobile Robotics (AMR) Lab and collaborates extensively with UVA's Link Lab, a cross-disciplinary research center focused on cyber-physical systems. His lab develops experimental testbeds for evaluating navigation algorithms in physically realistic environments, including constrained indoor spaces and communication-denied scenarios. Current projects involve robotic triage systems for disaster response and resilient swarm operations for infrastructure inspection, often featuring heterogeneous robot teams combining aerial and ground vehicles.

Alex Davisمشاهده پروفایل

پژوهشگر ارشد

• Quantum Technology
• Photonics
• Quantum Optics
• +۳ مورد دیگر

Alex Davis is a Research Fellow at the Department of Physics, University of Bath, affiliated with the Centre for Photonics and Photonic Materials and Optical Fibres groups. His work focuses on developing quantum light sources in optical fibers and their applications in quantum technologies, including squeezed vacuum generation and photonic crystal fiber integration. He leads the PHOCIS fellowship project and collaborates on the Quantum Computing Hub as a Researcher Co-Investigator. Education: PhD in Atomic and Laser Physics (Measurement of quantum light pulses for enhanced precision sensing), University of Oxford, 2018 MSc in Natural Sciences, University of Cambridge, 2014 Research Interests: Davis explores quantum technology through photonics, emphasizing photonic crystal fibers and optical fiber-based systems. His key areas include quantum light manipulation for computing, communications, and sensing, leveraging nonlinear optics and fiber Bragg gratings. Recent work highlights tunable frequency conversion in doped fibers, heralded Bell pairs, and noise-resistant quantum interferometry. Article Trends: His publications since 2021 demonstrate advancements in photonic crystal fiber applications, frequency conversion techniques, and quantum state engineering. Key themes include optimizing parametric oscillators, investigating entanglement swapping, and developing UV-written fiber components for quantum systems. Awards & Grants: Principal Investigator (PI) of the Engineering and Physical Sciences Research Council-funded PHOCIS Fellowship (2022–2027) Co-Investigator (CoI) on the Quantum Computing Hub project (2024–2027) Labs & Teams: His research is conducted within Bath’s Department of Physics, utilizing state-of-the-art facilities for fiber optics and quantum photonics experiments. Collaborations include teams at the University of Bath and international conferences such as ICTON and CLEO/Europe.

Bert Snijderمشاهده پروفایل

استاد

• Civil and Structural Engineering
• Mechanics of Materials
• Structural Analysis
• +۸ مورد دیگر

Bert Snijder is a Full Professor and holds the Chair of Structural Design (Steel Structures) at Eindhoven University of Technology (TU/e). His research focuses on the strength, stability, and fatigue of steel structures, with applications in buildings and bridges. He is also active in structural systems, connections, cold-formed sections, composite/hybrid structures, and high-strength steel applications. Key expertise: Civil and structural engineering, finite element analysis, structural design Active in UN Sustainable Development Goals related to sustainable infrastructure and education His recent work explores advanced computational methods for fatigue crack analysis, AI-driven crack detection in steel bridges, and Eurocode 3 adaptations for high-strength materials. He contributes to international standards through his leadership in Eurocode 3 committees and the European Convention for Constructional Steelwork. Scientific contributions include: Development of adhesively bonded repair techniques for steel joints Machine learning frameworks for crack segmentation Experimental validation of Eurocode 3 failure mechanisms

Sjoerd van der Heideمشاهده پروفایل

پژوهشگر

• Optical Communication
• Quantum Cryptography
• Digital Signal Processing
• +۳ مورد دیگر

Sjoerd van der Heide is a University Researcher at Eindhoven University of Technology, affiliated with the Electrical Engineering department and the Electro-Optical Communication group. His work focuses on advanced optical communication systems, with expertise in quantum key distribution, digital signal processing, and space-division multiplexing. Education: MSc in Optical Communication Systems (2017), thesis titled Low-complexity pre-compensation and advanced modulation techniques for high capacity intensity-modulated direct detection systems , supervised by Prof. C.M. Okonkwo. Research interests include: Quantum cryptography over free-space and fiber links GPU-accelerated real-time optical receivers Mode-division multiplexing techniques Holography-based fiber device characterization Atmospheric turbulence compensation Statistical modeling of mode-dependent loss Recent publications demonstrate trends in Continuous-variable QKD integration Co-propagation of classical and quantum signals Neural network applications for transmission High-capacity SDM systems Real-time GPU-based signal processing Off-axis digital holography techniques Scientific awards include: ECOC 2018 Student Paper Award Optica Student Paper Award (2022) OECC 2019 Best Paper Award Active in experimental validation of transmission systems, with collaborations on multi-core fiber implementations, turbulence generators, and software-defined optical receivers. Currently involved in the Zwaartekracht ECO project for integrated nanophotonics research.

Paul Jenningsمشاهده پروفایل

استاد

• In Vitro Toxicology
• Omic Approaches (Transcriptomics, Proteomics)
• Stress Response Pathways
• +۶ مورد دیگر

Paul Jennings is a Full Professor and Chair of Molecular and Computational Toxicology at the Vrije Universiteit Amsterdam (VU), Netherlands. He holds dual appointments in the Faculty of Science (Chemistry and Pharmaceutical Sciences Department) and AIMMS. His research focuses on advancing in vitro toxicology models, particularly for renal and hepatic systems, integrating omics technologies and computational approaches to understand chemical toxicity mechanisms. Jennings has pioneered the use of induced pluripotent stem cells (iPSCs) for developing patient-specific models to study nephrotoxicity and stress response pathways such as Nrf2, p53, and HIF-1α. He has led major EU projects like EUToxRisk and OpenRiskNet, advancing animal-free testing strategies aligned with Adverse Outcome Pathways (AOPs). Education: BSc (Pharmacology, UCD Dublin), PhD (Nephrotoxicity Testing, UCD Dublin), Habilitation (Epithelial Physiology, Innsbruck Medical University). Research Interests: Development of human-relevant in vitro models, systems toxicology, mitochondrial toxicity, xenobiotic metabolism, and translational biomarkers. His work emphasizes integrating omics data (transcriptomics, proteomics) with cheminformatics and computational models to predict chemical hazards. Grants & Projects: Principal Investigator for RISKHUNT3R, CHIAZMA, VHP4SAFETY. Collaborates on EU initiatives like In3 (animal-free nanomaterial safety) and StemBANCC (stem cell-based drug toxicity). Awards: None explicitly listed, though his leadership roles (Editor-in-Chief of Toxicology in Vitro, Vice President of NVT) highlight his professional standing. Labs/Teams: Molecular and Computational Toxicology Division at VU, collaborating with international teams on projects like OpenRiskNet (e-infrastructure for risk assessment) and EUToxRisk (mechanism-based toxicity testing).

Andrew Sowinskiمشاهده پروفایل

دانشیار

• Electrostatics in fluidized beds
• Particle charging phenomena
• Reactor wall fouling mitigation
• +۳ مورد دیگر

Andrew Sowinski serves as Associate Professor and Vice-dean of Programs at the School of Engineering Design and Teaching Innovation within the Faculty of Engineering at the University of Ottawa. Holding a Ph.D. from the University of Ottawa, his office is located in STE 1024Q with contact details including phone 613-562-5800 ext. 6288 and email sowinski@uOttawa.ca. Education: Ph.D. from University of Ottawa His research spans two primary domains: electrostatic phenomena in gas-solid systems and engineering education innovation. In electrostatics, he investigates contact electrification mechanisms in polyethylene fluidized beds, particle charging dynamics, reactor wall fouling, and pneumatic conveying systems, employing both experimental and computational (CFD) approaches. His education research focuses on developing non-traditional multidisciplinary design programs within conventional engineering faculties, addressing curriculum design, student recruitment, and assessment methodologies. Analysis of his 2021-2025 publications reveals consistent dual-focus work: electrostatics research emphasizes charge generation/mitigation in industrial polymerization processes, while education studies explore structural and implementation challenges of cross-disciplinary programs. His electrostatics work frequently combines particle-level charging experiments with system-level CFD modeling, while education publications document practical frameworks for program development amid traditional faculty structures. Scientific Awards: No scientific awards were documented in provided materials Advising and Grants: Specific details regarding graduate students, research grants, or funding sources were not disclosed in the source documentation, though his program leadership role as Vice-dean of Programs suggests significant administrative responsibilities in curriculum development and resource allocation.

• Fluid Power
• Additive Manufacturing
• Smart Manufacturing
• +۴ مورد دیگر

Dr. José Garcia-Bravo is an Associate Professor at the Purdue Polytechnic Institute, Department of Mechanical Engineering Technology, specializing in fluid power systems, additive manufacturing, and smart manufacturing using Industrial Internet of Things (IIoT) technologies. His work bridges applied research with educational innovation, including the development of a miniature electro-hydraulic excavator arm and the Fluid Power Student Club. Education: Ph.D. in Engineering (Fluid Power), Purdue University, 2011 M.Sc. in Engineering, Purdue University, 2006 M.A. in Teaching of Spanish, Purdue University, 2004 B.Sc. in Mechanical Engineering, Universidad de Los Andes, 2002 His research interests span fluid power & motion control, digital twins, reverse osmosis systems, and mixed reality applications in manufacturing. He focuses on optimizing hydraulic systems for heavy-duty vehicles, embedding sensors in 3D-printed components, and advancing water purification technologies. Recent publications highlight innovations in digital hydraulics, bio-based packaging materials, and reverse osmosis efficiency. He has secured patents for 3D-printed lens gratings and processes for additive manufacturing. Scientific Awards: Purdue Polytechnic Outstanding Faculty in Learning Award (2019) Purdue Polytechnic Outstanding Faculty in Engagement Award (2022) Dr. Garcia-Bravo actively engages in globalizing fluid power education, facilitating student exchanges with Latin American countries and contributing to international standards for hydraulic components through ISO committees.

Jurgen Mihmمشاهده پروفایل

استاد

• New Product Development
• R&D Management
• Operations Management
• +۳ مورد دیگر

Jürgen Mihm is a Professor of Technology and Operations Management at INSEAD. He holds a Doctorate from WHU’s Otto Beisheim School of Management and a joint degree in Business and Electrical Engineering from Technische Universität Darmstadt. As Director of the Strategic R&D Management executive program, he focuses on enhancing innovation agility in established firms, addressing coordination in large engineering programs, and integrating design thinking. His research appears in top journals like Management Science and Manufacturing & Service Operations Management , where he also serves as an editor. He teaches innovation and R&D management across Executive, PhD, EMBA, and MBA programs. Previously, he was a consultant at McKinsey & Company, specializing in semiconductor and automotive sectors. His work explores R&D portfolio dynamics, collaboration effects, and sourcing strategies for innovation. Education: Doctorate, WHU Otto Beisheim School of Management; Joint Degree (Dipl. Wirtsch. Ing.), Technische Universität Darmstadt. Research interests span innovation management, R&D processes, and design integration. His recent work examines optimal R&D spending allocation, feedback mechanisms in innovation contests, and the impact of collaboration on breakthrough inventions. He co-authored influential studies on patenting strategies and the role of 'star' collaborators in creativity. His articles analyze systemic vs. component-based sourcing, cyclicality-product quality linkages, and design patent trends. Teaching includes executive programs and custom client engagements. He co-designed role-play simulations for project portfolio management, featured in case studies like Project Portfolio Simulation: Introduction . His industry focus spans automobiles, engineering, and electronics sectors. Professional roles include editorial positions at leading journals and prior McKinsey experience. No specific grants or labs are highlighted, though his research involves extensive collaboration with industry partners.

Stephanie Rièsمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Psycholinguistics
• Speech and Language Disorders
• +۴ مورد دیگر

Stephanie Riès is an Associate Professor in the Department of Speech, Language, and Hearing Sciences at San Diego State University, where she directs the Laboratory for the Brain Dynamics of Language. Her research specializes in the cognitive neuroscience of human language, examining brain dynamics in language production, control processes, and neural reorganization following brain disorders. Education: BS in Biology from University of Rennes 1 MS in Cognitive Neuroscience from Aix-Marseille University MS in Cellular Biology and Animal Physiology from University of Rennes 1 PhD in Cognitive Neuroscience from Aix-Marseille University Her work integrates electrophysiology (EEG, EMG) and neuroimaging to study language production mechanisms and compensatory plasticity in conditions like stroke, epilepsy, and brain tumors. Key research areas include bilingual interference resolution, speech monitoring mechanisms, and neural reorganization patterns. Recent publications focus on neural hierarchies in speech production, neuroplasticity in language recovery, and advanced brain mapping techniques. Article analyses reveal strong emphasis on electrophysiological methods (sEEG, ERP), bilingual cognition, and clinical translation of neuroscience findings. Dr. Riès leads significant research initiatives through her laboratory, investigating brain-behavior relationships using intracranial recordings and developing novel approaches for speech activity detection across neurological populations.

• Geomatics Engineering
• Remote Sensing
• Civil Infrastructure Monitoring
• +۳ مورد دیگر

Mostafa Arastounia is an Assistant Professor of Geospatial Sciences at Kennesaw State University (KSU). He holds a PhD in Geomatics Engineering from the University of Calgary (Canada) and an MSc in Geo-Information Science from the University of Twente (Netherlands). He is licensed as a Professional Engineer in Geomatics in British Columbia and holds a Project Management Professional (PMP) certification. His research focuses on automated processing of LiDAR and Unmanned Aircraft (UA) data for infrastructure monitoring, including railroads, tunnels, and electrical substations. He develops algorithms for object recognition, 3D modeling, and workflow optimization in geospatial applications. He serves as a Topic Editor for Remote Sensing Journal and is a reviewer for journals like IEEE Transactions on Geoscience and Remote Sensing and Sensors . His teaching includes undergraduate courses in surveying, civil engineering, and geography at KSU. His work bridges geomatics, remote sensing, and civil engineering to enhance infrastructure resilience and maintenance through advanced data analytics. Key research areas include automated mapping of civil infrastructure, LiDAR-based asset recognition, UAS data workflows, and interdisciplinary applications of geospatial technologies. His peer-reviewed publications span journals like ISPRS Journal of Photogrammetry and Infrastructures , with a focus on advancing automation in geospatial data processing.

• Manufacturing Engineering
• Computer-Aided Design (CAD)
• Digital Mock-Ups
• +۴ مورد دیگر

Dr Adelaide Marzano is a Lecturer at the School of Computing Engineering and the Built Environment, Edinburgh Napier University, and a Visiting Professor at Pentecost University, Ghana. Her research focuses on manufacturing systems, CAD integration, tolerance analysis, and educational technology. She actively contributes to the Centre for Engineering and Mathematical Modelling, examining topics such as digital twin simulations for industrial ergonomics and e-learning efficacy. She serves as a PhD External Examiner and is a member of the Institution of Mechanical Engineers. Affiliations: Edinburgh Napier University (Primary), Pentecost University (Visiting) Key Roles: PhD Examiner, Research Group Member (Centre for Engineering and Mathematical Modelling) Her research spans manufacturing processes, including tolerance-aware product development and virtual reality applications in aerospace training. Recent work includes optimizing distillery operations via digital twin frameworks and investigating student preferences for e-learning tools across UK and Portuguese institutions. She also collaborates with industries like COMAU on ergonomic work cell design. Her current PhD project supervision involves machining optimization of additively manufactured medical components, emphasizing interdisciplinary approaches to advance manufacturing precision and efficiency.