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Gunnar SandbækView profile

Associate Professor

• Radiology
• Medical Imaging
• Vascular Diagnostics
• +5 more

Gunnar Sandbæk is an Associate Professor at the Department of Radiology and Nuclear Medicine within the Institute of Clinical Medicine , University of Oslo. His research focuses on advanced medical imaging techniques, vascular diagnostics, and interventional radiology procedures. Specializes in optimizing CT protocols for urological conditions Investigates radiation safety in vascular interventions Develops non-invasive vascular therapies for spinal cord injury patients Contributes to thrombosis management and cancer imaging protocols Recent publications highlight his work on single-phase CT protocols replacing traditional multi-phase scans, MRI optimization in testicular cancer follow-up, and negative pressure therapy applications for vascular circulation. His research spans urology diagnostics , vascular inflammation markers , and interventional radiology techniques. Key collaborators include Kristina Flor Galtung , Peter Mæhre Lauritzen , and Dag Bay . He is associated with the Vascular diagnostics and intervention research group and practices at OUS Rikshospitalet.

Hyunsun LeeView profile

Senior Lecturer

• Statistical data analysis
• Stochastic branching process in wireless ad-hoc network
• Sound generation mechanism for aircraft engine nozzle
• +2 more

Hyunsun Lee is a Senior Lecturer at the School of Design , University of Massachusetts Amherst , affiliated with the Department of Mathematics and Statistics . She contributes to the M.S. Option in Statistics and holds a PhD in Mathematics from Stony Brook University, alongside M.S. and B.S. degrees in Mathematics from Yonsei University. Education: PhD in Mathematics, Stony Brook University M.S. in Mathematics, Yonsei University B.S. in Mathematics, Yonsei University Research Interests span statistical data analysis, stochastic branching processes in wireless networks, aircraft engine sound generation mechanisms, homogenization for heterogeneous composites, and Rayleigh-Taylor instabilities. These areas intersect applied mathematics, fluid dynamics, and computational modeling. Scientific Awards include the 2017 Golden Apple Award for Excellence in Mentoring at Hawaii Pacific University and a 2021-22 Distinguished Teaching Award nomination at UMass Amherst.

Junjie GuView profile

Professor

• Transport Phenomena
• Micro-Scale Processes
• Direct Methanol Fuel Cells
• +3 more

Junjie Gu is a Professor in the Department of Mechanical and Aerospace Engineering at Carleton University , with a research focus on energy systems and transport phenomena in micro-scale processes. He holds a Dr.-Ing. degree from Universität Kaiserslautern, preceded by M.Sc. and B.Sc. qualifications from Tianjin University and Hebei University of Technology respectively. Education B.Sc., Hebei University of Technology M.Sc., Tianjin University Dr.-Ing., Universität Kaiserslautern His research spans two-phase heat transfer , direct methanol fuel cells , micro pulsating heat pipes , and renewable energy technologies including solar air conditioning and waste-heat power generation. Recent publications emphasize chemical clustering dynamics, absorption thermodynamics, and energy conversion efficiency. Scientific Contributions : 2006 - Carleton University Research Achievement Award 2007 - PetroCanada Young Innovator Award Gu's work bridges fundamental thermodynamic analysis and applied energy systems engineering, with a focus on sustainable cooling technologies and advanced fuel cell designs.

Thidapat ChantemView profile

Associate Professor

• Real-time systems
• Embedded systems
• Cyber-physical systems
• +7 more

Thidapat (Tam) Chantem is an Associate Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. He is affiliated with the Virginia Tech Research Center - Arlington and leads the RTX Lab. His research focuses on real-time systems, cyber-physical systems (CPS), and embedded systems security. He holds a Ph.D. from the University of Notre Dame (2011), M.S. from the same institution (2008), and a B.S. from Iowa State University (2005). His work integrates hardware-software co-design principles to address challenges in low-power computing, energy-aware system design, and secure embedded systems. Key projects include developing scheduling frameworks for CPS security, GPU-based real-time DNN inference, and vehicular edge computing solutions. He has secured grants from NSF and industry partners to advance time-sensitive CPS design and emergency response systems. His publications span ~150 articles since 2006, emphasizing real-time scheduling, embedded security, and traffic optimization. Notable contributions include DARIS (GPU spatio-temporal scheduling) and SGPRS (periodic deep learning workload management). He actively collaborates on NSF-funded projects like the Semi-Automated Emergency Response System (CPS Synergy grant). Professional service includes reviewing for top-tier journals/conferences and organizing workshops on real-time systems security. His RTX Lab develops solutions for connected vehicle systems, CPS trustworthiness, and energy-efficient multiprocessor architectures.

• Computational Fluid Dynamics
• Chemical Engineering
• Optimisation
• +4 more

Nausheen Basha is a Researcher in the Department of Chemical Engineering at Imperial College London, part of the Faculty of Engineering. Previously, she held a Research Assistant position at City, University of London. She earned her PhD in Chemical Engineering from City, University of London (2017–2021) and an MSc in Aerospace Engineering from the University of Manchester (2013–2014). Education: PhD in Chemical Engineering, City, University of London (2017–2021) MSc in Aerospace Engineering, University of Manchester (2013–2014) Research Interests: Nausheen’s work focuses on integrating machine learning and computational fluid dynamics (CFD) to enhance engineering design and optimization. Her research spans computational fluid dynamics, chemical engineering optimization, and the application of machine learning techniques such as deep learning and Bayesian optimization. She explores multiphase systems, reactor design, and the development of surrogate models to improve simulation efficiency and accuracy in fluid dynamics and mechanical engineering contexts. Research Trends: Her recent work emphasizes multi-fidelity methods, Bayesian optimization, and machine learning-driven approaches to solve complex fluid dynamics problems. She has contributed to advancements in flow reactor design, laminar mixing systems, and the analysis of dispersed oil-water flows, often leveraging CFD simulations combined with data-driven frameworks. Advising & Grants: No formal advisees or grant information is listed in the provided text. Her contributions are primarily through research publications and academic positions.

Gizeli ElectraView profile

Professor

• Molecular Biology
• Biophysics
• Micro-engineering
• +4 more

Gizeli Electra is a Professor at the University of Crete's Department of Biology, with a PhD from the University of Cambridge (1994). Her research spans molecular biology, biophysics, and nano-biotechnology, focusing on acoustic biosensors for biomolecular analysis and portable diagnostic platforms. PhD: 1994, University of Cambridge Her work combines fundamental and applied research, developing molecular diagnostic assays using isothermal amplification and 3D-printed lab-on-chip systems. These innovations address global challenges in human, plant, and marine health under the 'One-Health' framework, with implementations in both developed and developing countries. Recent publications highlight advancements in real-time colorimetric LAMP assays, acoustic wave biosensors, and low-cost genetic analysis tools. Collaborations span institutions in South Africa, Tunisia, the UK, Germany, and France. Labs in the Biology building at University of Crete (E213 & E212) drive her research, which emphasizes technological innovation for molecular diagnostics and environmental monitoring.

Zi-Wei LinView profile

Professor

• Theoretical Heavy Ion Physics
• Radiation Physics
• Pseudo-CT Image Generation
• +3 more

Dr. Zi-Wei Lin is a Professor in the Department of Physics at East Carolina University. He holds a PhD in Physics from Columbia University (1996). His research focuses on theoretical and computational physics, including relativistic heavy ion collisions, radiation physics, and medical physics applications like pseudo-CT generation for MRI-based radiotherapy. He developed the AMPT (Multi-Phase Transport) model to study high-energy nuclear collisions and QCD matter. Research Interests: Theoretical heavy ion physics, particularly collective flow dynamics and QCD phase transitions Monte Carlo transport models for radiation and medical physics Space radiation protection and particle transport simulations Pseudo-CT image generation for MRI-only radiotherapy Key Projects: AMPT model development for relativistic nuclear collisions Medical physics collaborations on radiation therapy techniques Space radiation studies using Geant4 simulations Teaching: Advanced physics courses including Computational Physics, Quantum Field Theory, and Nuclear Medicine Physics Collaborative teaching in radiation biology through the RONC program Research Group: Leads a team involving undergraduates, graduates, postdocs, and visiting scholars in nuclear theory, medical physics, and computational modeling.

• Ballistic/Hypervelocity Impact
• Advanced Materials Characterization
• Solid Mechanics
• +4 more

Zherui Martinez-Guo is a Research Assistant Professor in the Department of Aeronautics and Astronautics at Purdue University, with a courtesy appointment in Materials Engineering. They hold joint appointments at Idaho National Laboratory (INL) and Argonne National Laboratory (ANL). Their research focuses on multi-disciplinary studies combining experimental and diagnostic techniques in impact dynamics, solid mechanics, and advanced materials characterization using synchrotron X-rays. Key areas include ballistic/hypervelocity impact mechanics, armor systems optimization, and energetic materials analysis. Educational Background: Ph.D. in Aeronautics and Astronautics, Purdue University (2020) M.S. in Aeronautics and Astronautics, Purdue University (2014) B.S. in Aeronautics and Astronautics, Purdue University (2011) Research Interests: Development of dimensionless scaling laws for armor performance evaluation Integration of synchrotron X-ray diagnostics for real-time material response visualization Optimization of ceramic and composite materials under high-velocity impact Dynamic fracture mechanics of additively manufactured materials Key Awards: INL Distinguished Postdoctoral Associate, Russell L. Heath Award (2020) Purdue Graduate School Outstanding Research Award (2019) 15th Hypervelocity Impact Symposium Alex Charters Student Scholar (2019) Advising & Collaborations: While no formal advisees are listed, their research involves collaborations with INL, ANL, and the FBI on armor systems and material diagnostics. They lead the Impact Science Lab at Purdue, focusing on experimental and computational studies in dynamic material behavior. Publications: Recent work emphasizes high-throughput material characterization, ballistic performance scaling, and synchrotron-based imaging techniques. Their 2024 Acta Biomaterialia paper pioneered automated enamel microstructure analysis using synchrotron tomography.

Maja RückerView profile

Assistant Professor

• Subsurface Fluid Dynamics
• Multiphase Flow
• Porous Materials Characterization
• +3 more

Maja Rücker is an Assistant Professor in the Mechanical Engineering Department at Eindhoven University of Technology (TU/e), affiliated with the Energy Technology group and EIRES Research. She holds a visiting position at the Max Planck Institute for Polymer Research and collaborates with institutions like the Norwegian University of Science and Technology (NTNU) and the University of Oslo. Her academic background includes a PhD from Shell Global Solutions and Imperial College London, alongside BSc/MSc degrees in Geoscience from Johannes-Gutenberg University, Mainz. She has been recognized with the InterPore PoreLab Award (2021) and a Veni-NWO grant (2022). Her research focuses on subsurface fluid reservoir dynamics, molecular interactions in porous materials, and multiphase flow phenomena. Key projects include H2Mat (hydrogen storage), H2DeepNL (subsurface energy storage), and ACROPOROUS (advanced ceramics). She teaches courses on energy transition and sustainability, contributing to interdisciplinary initiatives like the 4TU.Responsible Sustainability Challenge. Her work bridges experimental workflows and digital modeling, addressing challenges in CO₂ sequestration, geothermal energy, and porous material utilization. Recent publications emphasize inverse gas chromatography applications, nucleation detection in superhydrophobic materials, and multi-scale heterogeneity in geological storage systems. Grants/Projects: Irene-Curie Fellowship, Veni-NWO, DeepNL-NWO, UF/e Labs/Teams: Group Rücker, Energy Technology Group, PoreLab Institute collaborations

• Applied Mathematics
• Partial Differential Equations
• Hyperbolic Conservation Laws
• +3 more

Andrea Corli is a Professor at the University of Ferrara , affiliated with the Department of Mathematics and Computer Science. His research focuses on hyperbolic systems of conservation laws , nonlinear wave phenomena , and mathematical modeling of traffic flows and crowd dynamics . Email: andrea.corli@unife.it Office: Via Machiavelli 30, Ferrara Office hours: Monday 3–5 p.m. or by appointment His work spans applied mathematics , partial differential equations , and industrial applications , particularly in valve design and traffic hysteresis . Recent publications highlight traveling wave solutions , degenerate diffusion , and phase transitions in complex systems. Andrea Corli has contributed to multilane traffic models , ionized gas dynamics , and reactive flows in porous media, with articles dating back to the early 2000s. His research emphasizes mathematical modeling and numerical analysis of real-world phenomena.

Scott FranklinView profile

Professor

• Soft Condensed Matter
• Physics Education Research
• Granular Materials
• +3 more

Scott Franklin is a Professor in the School of Physics and Astronomy at the Rochester Institute of Technology (RIT), part of the College of Science. He holds a BA from the University of Chicago and a Ph.D. from the University of Texas. His research focuses on soft condensed matter—particularly geometrically cohesive granular materials—and physics education, including diversity, equity, and inclusion initiatives. He received the prestigious American Physical Society Fellowship in 2020, recognizing his contributions to physics research and education. His teaching portfolio includes courses such as Physics Research I, Mathematical Methods in Physics, and Chaotic Dynamics. He actively contributes to STEM education research through the Physics Education Research Group at RIT, which emphasizes equitable learning opportunities and graduate admissions strategies. Franklin’s work spans experimental and theoretical studies, including projects funded by the NSF and collaborations on quantum education and metacognitive tools for first-year STEM students. Franklin has published extensively in journals like American Journal of Physics , Physical Review E , and Soft Matter . His research bridges material science and education, addressing topics from granular packing dynamics to fostering empathy in academic spaces. He also leads grant-funded initiatives to improve retention among deaf/hard-of-hearing and first-generation STEM students through metacognitive interventions. Grants & Awards: NSF Building Capacity in STEM Education Research Grant ($587,000), RIT’s Faculty Development Award Labs & Teams: Co-leads the Professional Development for Emerging Education Researchers (PEER) program and collaborates with the RIT PER Group Future Work: Expanding quantum education initiatives and studying diversity in graduate admissions through the Physics GRE requirements project

Dewey Dohoy JungView profile

Professor

• Automotive Engineering
• Thermal and Fluid Sciences
• Energy Conversion Systems
• +8 more

Dewey Dohoy Jung is a Professor and Associate Dean for Academic Programs and Initiatives at the University of Michigan-Dearborn , affiliated with the College of Engineering and Computer Science and the Department of Mechanical Engineering . With over 25 years of academic and industry experience, he specializes in automotive engineering and thermal-fluid sciences . Ph.D. in Mechanical Engineering from the University of Michigan (2001) M.S. and B.S. in Mechanical Engineering from Seoul National University (1991, 1989) His research focuses on advanced energy conversion systems in automotive applications, including: Internal combustion engine processes and systems Hybrid/electric powertrain systems PEM fuel cell systems Vehicle thermal management Integration of vehicle systems Modeling and simulation of vehicle systems He has developed over 30 funded research programs with sponsors such as BorgWarner , Ford , Hyundai-Kia , and NSF , accumulating $4 million in grants . His notable award includes the Distinguished Research Award from the University of Michigan-Dearborn (2012). Current projects emphasize electric vehicle thermal management and fuel cell system optimization .

• Microgrid
• Power Electronics
• Renewable Energy
• +3 more

Dr. Mahmoud Shahbazi is an Associate Professor and Deputy Director of Research in the Department of Engineering at Durham University. He holds a PhD in Electrical Engineering from Université de Lorraine, France (2012), and has held prior roles as a lecturer at Azad University and a postdoctoral researcher at Sharif University of Technology. His research focuses on modern energy systems reliability, fault-tolerant control, renewable energy integration, and power system optimization. He has secured over £14M in research funding, leading projects such as the EPSRC-funded VPP-WARD (£1.84M) and ROADsTER (£230K). His work emphasizes hybrid AC/DC grids, microgrid control, and renewable energy resilience. Education: PhD in Electrical Engineering (Université de Lorraine, 2012) Grants: £6M EPSRC Centre for Doctoral Training in Offshore Wind Energy and Environment Research Interests: Microgrid operation, power electronics innovation, renewable integration strategies, and fault-tolerant systems. He explores advanced control methodologies for smart grids and energy resilience under dynamic conditions. Grant Portfolio: Key projects include optimizing offshore wind energy systems and developing AI-driven microgrid control for decarbonization. His funding includes EPSRC and NERC collaborations. Students: Supervising six research postgraduates in the Electrical Power Node. Expertise bridges theoretical models and practical implementation, with contributions to converter design, grid optimization, and renewable energy systems.

• Theoretical Physics
• Nuclear Physics
• Astrophysics
• +4 more

Constance Mendes Pinheiro is a Full Professor at the University of Coimbra's Faculty of Science and Technology, Department of Physics. She has held leadership roles including Director of the Rómulo Science Center (2022–current) and Director of the Physics Department (2019–2023). Her academic career includes a PhD in Theoretical Physics from the University of Oxford (2002) and degrees from the University of Coimbra. She is a member of the Scientific Council of the University of Coimbra and the Steering Committee of the COST Action CA16214 on multi-messenger physics of neutron stars. Her research focuses on dense matter physics, neutron star structure, and quark-gluon plasma dynamics. Key areas include equation of state modeling under extreme conditions, magnetic field effects in stellar matter, and dark matter interactions with compact stars. She has led numerous grants addressing neutron star properties, supernova dynamics, and QCD phase transitions. Recent work applies machine learning to decode neutron star observations and Bayesian methods to constrain nuclear matter parameters. Her studies explore hybrid stars, magnetized quark matter, and universality relations in compact star physics. Over 100 publications span topics like pasta phases in neutron star crusts, hyperon contributions, and gravitational wave astronomy implications.

Sergey LapinView profile

Professor

• Scientific Computing
• Mathematical Biology
• Data Analytics
• +5 more

Dr. Sergey Lapin is a Professor of Mathematics and Statistics at Washington State University Everett, serving as Vice Chancellor for Research and Director of the WSU Data Analytics program. He is also a Faculty Fellow at the WSU Honors College. His research focuses on scientific computing, mathematical biology, and data analytics, with recent projects exploring cardiovascular-retinal dynamics and interdisciplinary applications. Lapin holds leadership roles in academic administration and has received multiple awards for teaching and mentorship. Research Interests: Mathematical modeling of biological systems Cardiovascular and ocular dynamics Data-driven approaches in healthcare Optimal control theory and numerical methods Publications highlight interdisciplinary work, with trends in: Biomedical applications (eye-heart coupling, glaucoma modeling) Socio-economic dynamics (refugee migration, volunteering demographics) Computational methods (fractional calculus, finite element approaches) Lapin’s advising emphasizes interdisciplinary collaboration, and he leads teams in WSU’s Data Analytics program. He has pioneered computational models for pandemic response and vascular system analysis. Current projects bridge clinical medicine and mathematical theory, with applications in global health and environmental engineering.