جست‌وجوی استاد و پژوهشگر

• Chemical Engineering
• Bioprocess Engineering
• Process Monitoring and Control
• +۹ مورد دیگر

Michal Dabros is an Associate Professor at the HES-SO (University of Applied Sciences and Arts Western Switzerland), affiliated with the Haute école d'ingénierie et d'architecture de Fribourg and the Institute of Chemical and Bioprocess Engineering (ChemTech) . His research bridges theoretical advancements with industrial applications across chemical engineering, bioprocess technology, and sustainable manufacturing. Key research focus areas include Process Analytical Technology (PAT) , continuous flow reactor design , thermal safety analysis , and green chemistry approaches for nanoparticle synthesis and CO2 valorization. Recent publications highlight innovations in biocalorimetry-based control systems , bio-based material production , and miniaturized reaction calorimeters for hazardous process screening. Notable contributions appear in journals like CHIMIA , Organic Process Research & Development , and Processes , with emphasis on: Feedforward-feedback controller design for noisy bioprocess data 3D-printed reactors for O2 oxidation reactions IoT-enabled shelf life monitoring systems Comparative studies of Taguchi and full-factorial DoE methodologies He participates in international collaborations (Switzerland, Canada, Ireland) and interdisciplinary projects like Remote Labs digital MOOC platforms and Bio-cementation of molasse waste for eco-friendly construction materials.

• Fluid Mechanics
• Thermodynamics
• Phase Change
• +۷ مورد دیگر

Vitor Heitor Cardoso Cunha is a Postdoctoral Fellow in the Department of Chemistry at the Norwegian University of Science and Technology (NTNU), working with PoreLab research center. Originally from Rio de Janeiro, Brazil, he integrates computational chemistry and physics to study interfacial phenomena across multiple scales, with particular focus on liquid-vapor phase transitions in sub-micron systems. His research expertise spans several interconnected domains: Fluid Mechanics and Thermodynamics of phase transitions Computational Chemistry and Physics methodologies Scientific Machine Learning applications in fluid dynamics Density Functional Theory and Molecular Dynamics simulations Interfacial phenomena in solid-liquid-gas systems Dr. Cardoso Cunha employs phase field methods to capture diffuse interfaces between liquid and vapor phases, which is essential for investigating evaporation and condensation in droplets and ultrathin films. He also utilizes density gradient theory to characterize temporal evolution of surface processes. A significant innovation in his recent work involves neural operators that can learn interface evolution from thermodynamic principles while offering computational efficiency through super-resolution capabilities. His publication record demonstrates expertise in modeling droplet dynamics across multiple contexts, with recent works examining curvature effects on mass flux, phase change effects on droplet motion, and numerical methods for simulating suspended droplet evaporation. These contributions combine classical modeling approaches with emerging machine learning techniques to advance understanding of complex interfacial phenomena. His scientific contributions include: Development of phase field methods for evaporating droplet analysis Investigation of wettability gradient effects on droplet motion Creation of space-time numerical methods for droplet evaporation Exploration of neural operators for fluid mechanics applications Dr. Cardoso Cunha maintains an active computational research profile with multiple GitHub repositories focusing on porous media flow, mesh generation, and thin liquid sheet dynamics. His interdisciplinary approach bridges traditional computational fluid dynamics with modern machine learning techniques to address fundamental challenges in interfacial science.

• Computational Fluid Dynamics
• Hydrogen Safety
• Turbulent Sprays
• +۴ مورد دیگر

Giovanni Tretola serves as a Postdoctoral Research Assistant (academic rank: Researcher) within the Department of Engineering Science at the University of Oxford, affiliated with the Oxford Thermofluids Institute and Thermal Propulsion Systems research group. His work focuses on advancing hydrogen safety through integrated computational fluid dynamics and machine learning methodologies for energy systems. His academic foundation includes a degree in Energy Engineering from the University of Sannio (Benevento, Italy), followed by a Ph.D. in Mechanical Engineering from Imperial College London. His doctoral research developed "Large Eddy Simulation of atomisation process using the Eulerian Stochastic Fields method," establishing his expertise in probabilistic spray modeling. Subsequent postdoctoral roles at the University of Brighton (cryogenic multiphase flow modeling) and King's College London (liquid/solid interaction techniques) further expanded his computational specialization. Dr. Tretola's research centers on high-fidelity numerical simulations of hydrogen safety challenges, with particular emphasis on cryogenic hydrogen jets, turbulent spray dynamics, and supercritical flow phenomena. He pioneers hybrid approaches combining traditional CFD with machine learning for droplet characterization, jet mixing analysis, and thermo-physical modeling under extreme conditions. His work addresses critical gaps in hydrogen infrastructure safety through advanced computational diagnostics and predictive modeling. Analysis of his recent publications reveals a cohesive research trajectory focused on cryogenic hydrogen systems, with methodological innovation in proper orthogonal decomposition for flow characterization, multi-component volume of fluid methods, and machine learning-assisted prediction of complex fluid behaviors. His publications consistently target practical safety applications in hydrogen energy systems through rigorous computational validation. As an active member of Oxford's Thermal Propulsion Systems research group, he collaborates closely with Professor Konstantina Vogiatzaki on cutting-edge propulsion and energy system investigations, contributing computational expertise to experimental validation efforts and safety protocol development.

Andrew van Paridonمشاهده پروفایل

مدرس ارشد

• Thermal Management
• Spacecraft Propulsion
• Thermal Modeling
• +۷ مورد دیگر

Dr. Andrew van Paridon is a Senior Lecturer and Research Associate in the Sibley School of Mechanical and Aerospace Engineering at Cornell University. His work bridges advanced thermal systems research and innovative engineering education, with a focus on aerospace applications and satellite technology. Education: B.E. in Mechanical and Aerospace Engineering, University of Queensland (2010) B.Sc. in Physics, University of Queensland (2010) Ph.D. in Aerospace Engineering, University of Oxford (2016) Dr. van Paridon's research interests center on thermal management , particularly in satellites and propulsion systems, as well as system optimization and spacecraft design . He has made significant contributions to thermal modeling in both aerospace and turbomachinery contexts, including the development of the Transient Heat Transfer Facility and reduced-order modeling techniques. His educational initiatives include co-organizing the SmallSat Mission Design School and exploring mastery-graded assessment methods to improve learning outcomes in core engineering courses like Statics and Mechanics of Solids. His recent publications reflect a strong trajectory in space-based thermal systems , water-based propulsion , and SmallSat mission design , with emerging work on exoplanet imaging and zodiacal light observation. These works span experimental, computational, and systems-level approaches, demonstrating interdisciplinary innovation. Scientific Awards: Rolls Royce’s Civil Large Engine Best Patent award Dr. van Paridon has been actively involved in mentoring through course development and outreach programs with the Sciencenter and Cornell’s Office of Engagement Initiatives. While formal advisees are not listed, his leadership in educational programs indicates a strong commitment to student development. He has also contributed to grant-funded research through facility development and thermal modeling innovations. His work with the SmallSat Mission Design School suggests ongoing collaboration with space systems teams and potential future projects in space exploration and in-situ resource utilization. He leads and contributes to research teams focused on thermal systems and satellite technology, integrating academic research with practical engineering solutions.

• Nanophotonics
• Optical Tweezers
• Photothermal Conversion
• +۷ مورد دیگر

Jingang Li is an Assistant Professor in Mechanical Engineering and Materials Engineering at Purdue University's School of Mechanical Engineering. His research focuses on light-matter interactions at multiscale, advanced optical materials processing, and characterization technologies for energy, electronics, biomedical, and sustainable systems. He holds a Ph.D. from the University of Texas at Austin (2021) and a B.Sc. from the University of Science and Technology of China (2017). Research Interests: Optical tweezers, nanophotonics, photothermal conversion, optical and optoelectronic materials, nanoscale energy transfer, and laser processing/diagnosis. His work bridges fundamental physics and applied technologies, with applications in sustainable energy, advanced materials, and biomedical diagnostics. Recent Achievements: Selected as a 2024 Materials Science & Engineering Rising Star (Stanford/CMU/MIT/UIUC) 2023 Mechanical Engineering Rising Star (UC Berkeley/MIT/Stanford) Featured in Nature Communications , ACS Nano , and Nano Letters for breakthroughs in light-driven chemistry and nanomaterials. Grants & Labs: Leads research on ultrafast nanoscopy and optothermal manipulation. His lab develops novel optical tools for material characterization and nanoscale fabrication. Collaborates with industry on sustainable energy and biomedical device technologies.

• Plasma Physics
• Space Propulsion
• Electrothermal Microthrusters
• +۵ مورد دیگر

Professor Rod Boswell is a leading academic in the Research School of Physics & Engineering at the Australian National University (ANU), with over 220 published papers in top-tier journals including Nature and Physical Review Letters . His research focuses on plasma physics, space propulsion systems, and electrothermal microthrusters. He holds prestigious fellowships from the American Physical Society, Australian Academy of Sciences, and other institutions. Key affiliations include Deputy Editor of Physics of Plasmas and roles in major research initiatives like the Australian Plasma Thruster Project. His work integrates experimental and computational approaches to study plasma dynamics, magnetic nozzles, and ion beam formation. Recent projects involve developing novel propulsion systems for CubeSats and analyzing plasma instabilities in expanding plasmas. Boswell's research highlights include advancements in helicon plasma physics, RF microthruster design, and the application of plasma technology to space debris removal. He collaborates internationally and has contributed to high-impact reviews in plasma science and engineering.

• Molecular Microbiology
• Host-Pathogen Interactions
• Pathogenic Fungi
• +۷ مورد دیگر

Dr. Hans de Cock is an Assistant Professor in the Department of Biology at Utrecht University, Faculty of Science, where he has been a continuous academic since 1998. His research is centered in Molecular Microbiology, with a focus on pathogenic fungi, particularly Aspergillus and Malassezia species. He is affiliated with research groups studying host-pathogen interactions, fungal virulence, and biosafety. PhD in Biology, Utrecht University, 1986–1991 Postdoctoral Fellowship, Washington State University, 1991–1992 Fellow, Royal Academy of Arts and Sciences of the Netherlands, 1992–1998 Assistant Professor, Utrecht University, 1998–present Hans de Cock's research explores the molecular mechanisms by which pathogenic fungi interact with and evade host immune systems. His work spans host-pathogen interactions , fungal immunology , biofilm formation , and lipid metabolism in yeasts . He investigates how Aspergillus fumigatus conidia evade immune detection, the role of melanin, and fungal responses in lung and sinonasal environments. He also studies Malassezia species, focusing on lipid droplets, transformation systems, and their role in skin microbiota. His research combines genomics, transcriptomics, and functional assays to understand fungal pathogenesis. His recent publications (2020–2025) reveal a consistent focus on fungal pathogenesis and therapeutic targeting. Key themes include Aspergillus germination as a therapeutic target, immune modulation by fungal metabolites, antifungal peptides, biofilm dynamics, and lipid metabolism in Malassezia . His work frequently involves collaborations with experts in NMR, immunology, and genomics, indicating a multidisciplinary approach. The articles demonstrate a strong emphasis on translational aspects, such as novel antifungal strategies and diagnostic tools based on volatile organic compounds. Hans de Cock has held numerous academic leadership and service roles, including: Managing Director, Institute of Biomembranes (2002–2010) Chair, Faculty Counsel (2005–2011) Responsible Officer for Biological Safety, Microbiology (2006–present) Secretary and Board Member, Biology Department (2011–2016) Member, COGEM (2019–present) These roles highlight his significant institutional contributions beyond research. He has also contributed to educational resources, including co-authoring a safety manual for working with microorganisms. While no specific PhD students are listed, his long-standing role in research groups implies mentorship and advisory responsibilities. He has not been mentioned as receiving specific scientific awards in the provided texts, but his sustained publication record and leadership indicate professional recognition.

• Computer Graphics
• Physics-Based Simulation
• Fluid Dynamics
• +۳ مورد دیگر

Prof. Dr. Jan Bender holds a professorship in Computer Animation at RWTH Aachen University's College of Engineering. As a leading researcher in physics-based simulation methods, his work focuses on developing advanced numerical techniques for fluid dynamics, deformable solids, and multi-physics interactions through Smoothed Particle Hydrodynamics (SPH) and Finite Element Methods (FEM). Key Contributions: Invented PF-FLIP for two-phase flows, developed SymX symbolic framework for energy-based simulations, created STARK unified solver for robotics applications, and introduced implicit boundary handling for SPH Methodologies: Specializes in hybrid Eulerian/Lagrangian approaches, differentiable physics, adaptive discretization, and machine learning integration for simulation acceleration Research Impact: 2023 & 2024 Best Paper Awards in VMV and SCA conferences. His work enables billion-particle fluid simulations and realistic multi-body interactions for robotics, with applications in welding, thermal spraying, and soft robotics. Collaborations: Works extensively with robotics institutes (Gazebo Fluids extension) and materials science departments (TIG welding, thermal spray modeling). Maintains open-source code repositories for simulation frameworks.

Jinwei Shenمشاهده پروفایل

دانشیار

• Rotorcraft Aeromechanics
• Multi-body Dynamics
• Flight Dynamics and Control
• +۱۷ مورد دیگر

Dr. Jinwei Shen is an Associate Professor in the Department of Aerospace Engineering and Mechanics at the University of Alabama's College of Engineering. His office is located in room 215 Hardaway Hall. Education Ph.D., Aerospace Engineering, University of Maryland, College Park, 2003 M.S., Aerospace Engineering, University of Maryland, College Park, 1998 B.S., Aerospace Engineering, Beijing University of Aeronautics and Astronautics, 1992 Research Focus Dr. Shen's research integrates advanced computational modeling with experimental validation to advance rotorcraft and electric aircraft technologies. He investigates rotorcraft aeromechanics , focusing on tiltrotor whirl flutter, propeller stability, and multi-body dynamics. His work on smart structures and adaptive materials enables active control of vibration and noise in aerospace systems. Additionally, he explores artificial intelligence and machine learning applications in autonomous flight systems and high-performance computing environments. Recent Publication Trends Over the past decade, Dr. Shen's publications emphasize whirl flutter stability assessments of distributed electric propulsion systems, particularly surrounding NASA's X-57 Maxwell aircraft. His studies correlate wind-tunnel measurements with high-fidelity multibody dynamics simulations to predict aeroelastic instabilities. Emerging themes include foldable-propeller dynamics, low-Reynolds-number fountain effects in multi-rotor interactions, and CFD-driven airfoil optimization for high-lift propellers. Research Centers & Collaborations Dr. Shen is affiliated with several interdisciplinary centers, including: Alabama Center for the Advancement of AI Center for Advanced Vehicle Technologies Center for Advanced Manufacturing and Materials Design Integration Center for Sustainable Infrastructure Remote Sensing Center These partnerships provide collaborative opportunities spanning electric propulsion, AI-enabled autonomy, advanced materials, and infrastructure health monitoring.

Zhouzun Xieمشاهده پروفایل

پژوهشگر ارشد

• Recycling processes for photovoltaic modules
• Process metallurgy
• CFD-DEM modeling
• +۲ مورد دیگر

Dr. Zhouzun Xie is a Postdoctoral Fellow in Chemical Engineering at the University of New South Wales (UNSW), Australia. His research focuses on photovoltaic module recycling, process metallurgy, CFD-DEM modeling, nanomedicine delivery, and machine learning applications in engineering systems. Ph.D., Chemical Engineering, UNSW (2022) MEng, Northeastern University, China (2018) BEng, Northeastern University, China (2015) Research activities span: End-of-life management of photovoltaic modules High-fidelity multi-resolution modeling of industrial processes Multiphase reacting flow simulations Machine learning integration for process optimization Nanoparticle penetration in tumor microenvironments Key projects include: ARC Research Hub for Photovoltaic Solar Panel Recycling and Sustainability (PVRS) with $5M funding UNSW small equipment scheme grant (2023) for AI-based 3D PIV system (A$40k) CASS Travel Grant (2025) for computational research (A$4000) NCI Adapter Scheme grant (2023) for tumor penetration modeling (160 KSU) Scientific recognition includes: Dean’s Award for Outstanding PhD Theses (2023) UNSW Scientia PhD Scholarship (2018) Technical expertise encompasses: Hybrid CFD-DEM simulation frameworks Machine learning in process engineering Nanoparticle transport modeling Industrial-scale metallurgical process analysis Multi-resolution computational techniques Experimental validation of particulate systems

Raquel Liebermanمشاهده پروفایل

استاد

• Biological Chemistry
• Biophysical Chemistry
• Structural Biology
• +۷ مورد دیگر

Raquel Lieberman is a Professor at the Georgia Institute of Technology, holding the Sepcic-Pfiel Chair in Chemistry. Her lab investigates the molecular mechanisms of protein misfolding and membrane enzymology, with a focus on diseases like glaucoma and Alzheimer's. She can be reached at raquel.lieberman@chemistry.gatech.edu. B.Sc., Massachusetts Institute of Technology (1998) M.S., Northwestern University (1999) Ph.D., Northwestern University (2005) Postdoctoral Research Fellow, Harvard Medical School/Brandeis University (2005-2007) Research Interests: Protein misfolding and aggregation in glaucoma (myocilin) Intramembrane proteases in neurodegenerative diseases Structural and biophysical characterization of membrane enzymes Scientific Awards: PEW Scholar in Biomedical Sciences (2010) Blanchard Fellowship (2010) Rosalinde & Arthur Gilbert/AFAR New Investigator Award (2009) NSF CAREER Award (2008) Glaucoma Research Foundation Shaffer Award (2008) ACS Nobel Laureate Signature Award for Graduate Education (2006) NIH Postdoctoral Fellowship (2005) The Lieberman lab employs crystallography, neutron scattering, and proteomics to study protein folding and membrane enzymology. They are pioneering pharmacological chaperone discovery for glaucoma therapeutics and structural characterization of intramembrane proteases, with recent work focusing on AI-driven mutation classification and lipid-dependent enzyme oligomerization.

Edward Lukeمشاهده پروفایل

استاد

• Parallel Algorithms
• Scientific Computing
• Computational Fluid Dynamics

Edward Luke is a Professor in the Department of Computer Science and Engineering at Mississippi State University's Bagley College of Engineering. His research focuses on parallel algorithms and scientific computing, with particular expertise in computational fluid dynamics applications including turbulence modeling, aerodynamics, and multiphase flows. His publications demonstrate strong emphasis on developing advanced computational methods for aerospace and fluid dynamics problems. Recent work explores machine learning-based surrogate modeling, hypersonic flow simulations, and turbulence model assessments. Articles show consistent focus on high-performance computing applications in fluid-thermal systems, aerothermodynamics, and propulsion engineering. Dr. Luke maintains active research in computational mechanics, with recent investigations spanning atmospheric science experiments, reduced-order modeling techniques, and advanced solver development for complex multiphysics problems, particularly in aerospace contexts.

Ryan St. Pierreمشاهده پروفایل

استادیار

• Microrobots
• Robotics
• Insect Biomechanics
• +۳ مورد دیگر

Dr. Ryan St. Pierre is an Assistant Professor in the Department of Mechanical and Aerospace Engineering and the Department of Computer Science and Engineering at the University at Buffalo (School of Engineering and Applied Sciences). His research focuses on microrobots, insect biomechanics, and microelectromechanical systems (MEMS), aiming to understand biological systems and develop microrobot analogs. He leads the Robot Form and Function Lab and has been recognized with the 2018 Best Paper Award at the Solid-State Sensors Workshop and inclusion in the 2020 Forbes 30 Under 30 Science list. Education: PhD in Mechanical Engineering, University of Maryland, 2018 MS in Mechanical Engineering, Northeastern University, 2012 BS in Mechanical Engineering, Northeastern University, 2012 Research Interests: Dr. St. Pierre’s work bridges robotics, biomechanics, and MEMS to design highly mobile microrobots. Key themes include energy-efficient locomotion, bio-inspired mechanisms (e.g., springtail-inspired jumping), and control strategies for ultrafast systems. His lab explores applications like reconfigurable swarms and autonomous millirobots. Publications: Recent work emphasizes innovations in jumping microrobots, latch-mediated control systems, and biomimetic actuators. Themes across his articles include energy storage/release mechanisms, multi-modal locomotion, and dynamics optimization. Awards: Best Paper Award, Solid-State Sensors, Actuators, and Microsystems Workshop (2018) Forbes 30 Under 30 Science List (2020) Labs & Teams: He directs the Robot Form and Function Lab , focusing on interdisciplinary robotics research. Collaborations span mechanical engineering, computer science, and biomimetics.

Monique McClainمشاهده پروفایل

استادیار

• Additive Manufacturing
• Energetic Materials
• 3D Printing
• +۵ مورد دیگر

Monique McClain is an Assistant Professor of Mechanical Engineering at Purdue University's West Lafayette School of Mechanical Engineering. She joined Purdue in Fall 2021 after a postdoc at Oak Ridge National Laboratories. Her academic journey includes a Ph.D. and M.S. in Aeronautics and Astronautics from Purdue University (2020 and 2018) and a B.S. in Aerospace Engineering from UC San Diego. She has held internships at NAWCWD China Lake and NASA Marshall Space Flight Center through her National Science and Technology Graduate Fellowship (NSTRF). Her research focuses on advancing additive manufacturing techniques for energetic materials, dissimilar material printing, and quality control in high-temperature applications. Key areas include combustion dynamics, propulsion systems, and convergent manufacturing strategies. The McClain Team, emphasizing interdisciplinary collaboration, develops novel materials and processes for applications in aerospace and defense through projects like multi-formulation printing and anomaly detection in 3D printing. Research Highlights: Development of photopolymeric binders for solid propellant 3D printing Integration of ultrasonic vibrations for viscous material extrusion Anomaly detection in fused filament fabrication using machine learning Awards & Recognition: 2023 MIT Technology Review Innovators Under 35 AFOSR Young Investigator Program (YIP) FY23 Award 2021 AIAA Propellants and Combustion Best Paper Award Advising & Team: Supervises a dynamic team of PhD and MS students exploring topics like dissimilar material interfaces, real-time quality monitoring, and ceramic matrix composites. She prioritizes DEI initiatives and mentors students in technical communication and ethical engineering practices. Labs & Facilities: Leverages Purdue's advanced manufacturing facilities to conduct experiments in multi-material printing and combustion testing. Collaborates with industry partners to bridge academic research with practical applications.

• Active Matter
• Topological Insulators
• Nonlinear Dynamics
• +۳ مورد دیگر

Vincenzo Vitelli is Professor in the Department of Physics and James Franck Institute at the University of Chicago. His research spans complex systems at the intersection of physics, engineering, and applied mathematics, including biophysics, active matter, machine learning, robotics, metamaterials, topological insulators, hydrodynamics, and soft materials. The Vitelli Group investigates phenomena arising from nonlinearities, disorder, and far-from-equilibrium dynamics using analytical and numerical approaches. Current projects explore nonlinear x-ray interactions, odd elastic properties, machine learning for physical systems, and topological mechanics. The group maintains active collaborations with multiple experimental teams. Vitelli has received several honors including being named a Fellow of the American Physical Society (2018) and Kavli Frontiers of Science Fellow (2015). He currently advises 8 PhD students and has mentored over 15 doctoral graduates. The group has received funding from multiple sources including the National Science Foundation and Department of Energy.