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Hilal Ezgi ToramanView profile

Assistant Professor

• Catalysis
• Reaction Engineering
• Pyrolysis
• +6 more

Dr. Hilal Ezgi Toraman is an Assistant Professor in Penn State's College of Earth and Mineral Sciences, with joint appointments in the John and Willie Leone Family Department of Energy and Mineral Engineering and the Department of Chemical Engineering. She leads an interdisciplinary research program focused on sustainable reaction engineering and catalysis for valorizing non-traditional carbon feedstocks like plastic waste, biomass, and shale gas. Her lab integrates advanced pyrolysis, GC×GC analytics, kinetic modeling, and data science to develop scalable chemical recycling technologies. Education includes: Ph.D. in Chemical Engineering, Ghent University (2016) M.Sc. in Chemical Engineering, Middle East Technical University (2012) B.Sc. in Chemical Engineering, Middle East Technical University (2010) Research focuses on: Developing intrinsic kinetic models for plastic pyrolysis Designing catalysts for mixed-feedstock upgrading Advancing GC×GC analytical methods for complex product characterization Building data infrastructure for process optimization Her work consistently addresses industrial challenges in plastic circularity and sustainable energy. Toraman's publications demonstrate strong emphasis on pyrolysis reaction engineering, catalytic mechanisms, and analytical innovation. Recent work explores metal-modified zeolites for polypropylene conversion, machine learning for co-pyrolysis optimization, and novel reactor designs for efficient thermochemical synthesis. Major awards: C&EN Talented 12 (2023) AIChE Pioneers in Catalysis & Reaction Engineering (2023) ACS Energy & Fuels Rising Star (2023) Wilson Faculty Fellowship (2023-2026) She leads the Toraman Lab, advising 8+ graduate students on projects funded by $5M+ grants from REMADE Institute, Dow Chemicals, and others. Current initiatives include catalytic pyrolysis of mixed plastics and development of open-source data platforms for recycling technologies.

Steven C. GrambowView profile

Associate Professor

• Biostatistics
• Clinical Research Education
• Artificial Intelligence in Academic Workflows
• +3 more

Steven C. Grambow is an Associate Professor and Associate Chair of Education in the Department of Biostatistics & Bioinformatics at Duke University School of Medicine. He serves as Director of Duke’s Clinical Research Training Program (CRTP) and Co-Director of the Duke Clinical and Translational Science Institute (CTSI) Workforce Development Pillar. With over two decades of experience in graduate education, he has trained more than 1,000 physician-scientists in statistical methods while developing innovative programs for clinical research education across various delivery formats. His work focuses on creating pathways into clinical and translational research through partnerships with institutions like North Carolina Central University and Durham Technical Community College. Grambow actively explores AI integration into biostatistical workflows and leads initiatives in faculty development, active learning models, and cross-disciplinary collaboration frameworks. As a collaborative statistical scientist, his research spans observational studies, randomized trials, and epidemiologic investigations addressing public health challenges including amyotrophic lateral sclerosis (ALS), post-traumatic stress disorder (PTSD), and cardiovascular risk reduction. His recent publications highlight innovations in biostatistical education, AI applications, and community-engaged research models. Scientific Awards: American Statistical Association teaching honors Duke University teaching honors Grambow has secured significant grants from NIH, Department of Defense, and University of Colorado-Denver for projects spanning statistical methods in cardiovascular disease research, patient-focused drug development resources, and multi-component lifestyle interventions. He actively mentors through Duke’s educational programs and leads quantitative collaboration units in academic healthcare settings.

Ahmed ElkadyView profile

Associate Professor

• Performance-Based Earthquake Engineering
• Collapse Risk and Loss Assessment
• Resilience-based Design
• +4 more

Dr. Ahmed Elkady is an Associate Professor in Structural Engineering at the University of Southampton's Faculty of Engineering and Physical Sciences, Department of Civil, Maritime and Environmental Engineering. His research focuses on structural performance under seismic hazards with specialization in steel and composite structures. He leads the Infrastructure Research Group and actively supervises PhD students while developing innovative computational tools for structural analysis. Elkady's research interests center on Performance-Based Earthquake Engineering, Collapse Risk and Loss Assessment of Steel and Composite Buildings, and Resilience-based design of Existing Structures. His work combines advanced numerical modeling with large-scale experimental testing to develop robust predictive models for structural behavior under extreme loading conditions. He has made significant contributions to the understanding of structural connections, particularly steel endplate and bolted connections. His recent publications demonstrate a strong trend toward integrating machine learning with traditional structural engineering methods, particularly in modeling steel connections and predicting structural behavior. The research spans both fundamental mechanics and practical applications for seismic risk assessment, with several of his 2023-2025 publications focusing on data-driven approaches to structural analysis. Raymond C Reese Research Prize (2022) Multiple Outstanding Reviewer awards from ASCE Journal of Structural Engineering (2019-2020) First Place Award in NIST-ATC Blind Prediction Contest (2018) Alexander Graham Bell graduate scholarship from NSERC Canada (2014) Multiple best presentation awards at engineering conferences (2012-2015) Elkady currently supervises three PhD students (Weiran Li, Zizhou Ding, and Aran Naserpour) and leads the EPSRC-funded project 'Seismic Resilience of Egypt's Built Environment: A GIS-Based Framework for Assessment and Mitigation.' He has also secured funding from Research England for the 'EGYGIS: GIS Mapping in Support of Egypt's Disaster Risk Management' project. His research has resulted in several open-source software tools including EaRL (Earthquake Risk, Loss & Lifecycle Assessment), FM-2D (Frame Modeler 2D), and SCRonED (Semi-Rigid Connections Experimental Database), which are widely used in the structural engineering community for performance-based earthquake engineering.

• Electrical Engineering
• Wind Turbine Systems
• Electric Vehicle Powertrains
• +5 more

Torbjörn Thiringer is a Professor in Electrical Engineering at Chalmers University of Technology. His research focuses on electrical systems for wind turbines and electric vehicles, with particular emphasis on system-level analysis and component-level studies of electrical machines, power electronics, and battery systems. Key research areas: Wind turbine systems, Electric vehicle drives, Battery degradation, Power electronics optimization Recent work explores graphene-based thermal management, fuel cell hybrid vehicles, and direct current building distribution efficiency His publications demonstrate interdisciplinary engagement with topics spanning: Finite element analysis of motor designs Life cycle assessment of energy systems Thermal modeling of SiC inverters Wave energy converter optimization Core loss measurement techniques Hydrogen fuel cell integration Professor Thiringer's collaborations span multiple institutions and industry partners, focusing on both theoretical modeling and practical implementation of advanced energy systems.

Jianxiong LiView profile

Assistant Professor

• Advanced Manufacturing
• Cold Spray Additive Manufacturing
• Extreme Mechanics
• +5 more

Jianxiong Li serves as an Assistant Professor in the Department of Mechanical Engineering at Texas A&M University's College of Engineering, where he leads research in advanced manufacturing and materials mechanics. His work bridges fundamental materials science with practical engineering applications in aerospace, biomedical devices, and energy systems. Educational Background: Ph.D. in Welding Engineering, Ohio State University (2022) M.Eng. in Materials Processing Engineering, Tianjin University (2017) B.E. in Materials Shaping and Controlling Engineering, Tianjin University (2014) Research Focus: Dr. Li's investigations span Cold Spray Additive Manufacturing , Extreme Mechanics , and Dynamic Mechanical Testing of nanocrystalline alloys and metal matrix composites. His lab develops novel solid-state joining techniques like impact welding for dissimilar materials, with emphasis on microstructural evolution under high strain rates (up to $10^9$ s$^{-1}$) and interfacial phenomena in biomedical-grade joints. Current projects explore chemical strengthening of glass powders, refractory high-entropy alloy coatings, and synchrotron-based load transfer analysis in composites. Publication Trends: Analysis of his 15 most recent publications (2020-2025) reveals three dominant themes: (1) Biomedical applications of microwelded NiTi-stainless steel joints with interfacial liquid control, (2) Fundamental studies of dislocation dynamics in nanocrystalline alloys at extreme strain rates, and (3) Process development for vaporizing foil actuator and laser-augmented impact welding of challenging material combinations. His work increasingly integrates advanced imaging techniques with mechanical testing. Scientific Recognition: Ohio State University Presidential Fellowship (2021) Research Infrastructure: Dr. Li directs the IM3D Lab (Imaging and Mechanics for Multi-scale Manufacturing), which specializes in high-speed imaging, synchrotron characterization, and mechanical testing of materials under extreme conditions. His group collaborates with national laboratories on vaporizing foil actuator technology and develops manufacturing solutions for next-generation biomedical devices and structural components.

• Glass Science
• Optical Materials
• Radiation Shielding
• +3 more

Manuela Reben serves as a Professor at AGH University of Science and Technology in Kraków, Poland, within the Faculty of Materials Science and Ceramics. Her primary appointment is in the Department of Glass Technology and Amorphous Coatings, with office space in building A-3, room 222. She holds the significant administrative role of Vice-Dean of the Faculty of Cooperation and participates in multiple governance bodies including the Chemical Engineering Discipline Council, Faculty College, University Senate, and Senate Committee on Science. Her research centers on advanced glass systems with specialization in optical materials , radiation shielding composites , and waste glass valorization . Key investigations include structural characterization of rare earth-doped tellurite and phosphate glasses, development of novel compositions for photonic applications, and utilization of industrial glass wastes in sustainable construction materials. Her work bridges fundamental materials science with practical engineering solutions for laser technology, nuclear shielding, and eco-friendly building products. Analysis of her recent publications (2022-2025) reveals dominant research trajectories in three interconnected domains: (1) Engineering phosphate/tellurite glass matrices doped with rare earth ions for broadband optical amplifiers and laser gain media; (2) Developing radiation-shielding glasses with optimized attenuation properties for medical and nuclear applications; (3) Transforming industrial glass wastes into functional construction materials through sintering process optimization. These efforts demonstrate consistent innovation in glass composition design and property tailoring. Scientific awards: No awards documented in available sources. Advising activities and research grants are not specified in current documentation, though her leadership roles suggest significant mentorship responsibilities. Her departmental affiliation indicates active participation in collaborative research teams focused on glass technology and amorphous materials development.

Chris ThachukView profile

Assistant Professor

• Computing + Biology
• Molecular Programming
• Synthetic Biology
• +3 more

Chris Thachuk is an Assistant Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington . His research bridges computer science with molecular programming and synthetic biology, focusing on programmable matter at the nanoscale using bio-molecules like DNA. Current Position: Assistant Professor, University of Washington (2020–Present) Previous Positions: Senior Postdoctoral Researcher at Caltech (2014–2020), Postdoctoral Research Assistant & James Martin Fellow at Oxford (2012–2014) Education: PhD in Computer Science (2013), University of British Columbia MSc in Computer Science & Bioinformatics (2007), Simon Fraser University & CIHR/MSFHR Bioinformatics Training Program BCS in Computer Science (2005), University of Windsor Thachuk’s research spans computing + biology , with expertise in molecular programming , synthetic biology , and bioinformatics . His work includes algorithm design for DNA-based systems, thermodynamic modeling, and leakless strand displacement systems. Recent publications focus on DNA origami alignment , leakless strand displacement , compiler-aided DNA circuit design , and thermodynamic binding networks , reflecting interdisciplinary research in computer science, synthetic biology, and nanotechnology. Scientific Awards: James Martin Fellow at the Institute for the Future of Computing, Oxford Thachuk contributes to the Molecular Information Systems Lab (MISL) , collaborating with researchers like Erik Winfree and David Soloveichik. His work emphasizes integrating molecular biosensors with electronics for applications such as protein concentration measurement and DNA sequencing.

• Manufacturing Engineering
• Welding Technologies
• Non-Destructive Testing
• +5 more

Manuela De Maddis is a Tenured Researcher at the Department of Management and Production Engineering (DIGEP) of the Polytechnic of Turin (PoliTo), where she has worked since 2005. She is also a member of the Interdepartmental Center J-Tech@PoliTo. PhD in Industrial Production System Engineering (2004), Polytechnic of Turin MSc in Management Engineering (2001), University of Calabria Her research focuses on Manufacturing Technologies , particularly Welding Processes and Infrared Thermography for non-destructive testing. She leads projects like TECNOPROTEO (2024-2027) and NDTxW (2024-2025) as Scientific Manager. Her work integrates Machine Learning and High-Fidelity Modeling for digital manufacturing systems. Recent publications analyze active thermography in weld quality, electrode degradation in spot welding, and probabilistic tolerancing methods. She supervises PhD students in Materials Science and Production Engineering . Mentoring Polito Project (M2P) (2023) Learning to Teach (L2T) (2023) Manuela teaches courses like Industrial Welding Processes , Advanced Manufacturing Technologies , and Ergonomics in Production Innovation at both undergraduate and graduate levels. She contributes to interdisciplinary labs focused on Manufacturing Process Innovation and Technological Validation .

• Computational Fluid Dynamics
• Energy Harvesting
• Fluid Dynamics
• +4 more

Simone Salvadori is an Associate Professor at the Department of Energy (DENERG) of Politecnico di Torino, specializing in Computational Fluid Dynamics, Heat Transfer, and Turbomachinery. His research intersects Aerospace Engineering , Propulsion , and Energy Sustainability (SDG 7 & 9). He leads the EnaTech-RDE project on CO2-Free Rotating Detonation Engines and contributes to H2POWRD for hydrogen propulsion systems. Editorial roles: Guest Editor for Frontiers in Aerospace Engineering and Applied Sciences , Member of Energies Editorial Board. Organizing Committee Member for 8th ART Summer School (2024) and multiple international conferences including Aerospace Europe Conference 2023. His research focuses on pressure gain combustion , film cooling optimization , and machine learning-driven turbine design . He employs advanced computational tools to analyze unsteady flows, cavity dynamics, and exhaust systems in gas turbines, with applications to hydrogen/natural gas blends and rotating detonation engines . Salvadori supervises PhD students in projects related to high-pressure turbine vane coupling , cooling channel optimization , and exhaust flow control . He collaborates with the TEP Research Group and networks like ETN Global (Energy & Turbomachinery Network).

Dmitri DavydovView profile

Research Professor

• Enzymology
• Biophysics
• Protein Biophysics
• +5 more

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. LabyakView profile

Assistant Professor

• Solid Mechanics
• Finite Element Analysis
• Vibration Analysis
• +13 more

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 PatrasView profile

Assistant Professor

• Mucosal Immunity
• Microbiota Research
• Urinary Tract Infections
• +5 more

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 ScalettarView profile

Professor

• Condensed Matter Physics
• Quantum Phase Transitions
• Superconductivity
• +5 more

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 BezzoView profile

Associate Professor

• Robotics
• Autonomous Systems
• Control Barrier Functions
• +5 more

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 DavisView profile

Research Fellow

• Quantum Technology
• Photonics
• Quantum Optics
• +3 more

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.