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Antonios TsokarosView profile

Research Professor

• Astrophysics
• General Relativity
• Gravitational Waves
• +5 more

Antonios Tsokaros is a Research Professor in the Department of Physics at the University of Illinois at Urbana-Champaign (UIUC), affiliated with the Grainger College of Engineering. He is also a Faculty Fellow at the National Center for Supercomputing Applications (NCSA) and a Senior Researcher at the Research Center for Astronomy and Applied Mathematics in the Academy of Athens, Greece. His research focuses on general relativity, neutron stars, black holes, gravitational waves, and computational astrophysics, leveraging supercomputers to explore phenomena such as binary neutron star mergers and magnetized compact objects. Key research interests include the dynamics of self-gravitating systems, multimessenger astronomy, and the interplay between magnetic fields and gravitational wave emission. Tsokaros develops advanced numerical tools, such as the Parallel Compact Object CALculator (COCAL), to solve relativistic initial data problems and simulate extreme astrophysical scenarios. His work contributes to understanding strong-field gravity, compact object physics, and the potential for discoveries with observatories like LIGO and the Laser Interferometer Space Antenna (LISA). Funding is available for PhD candidates interested in numerical relativity and computational astrophysics. Tsokaros collaborates across institutions to advance theoretical and computational methods, emphasizing interdisciplinary approaches to decode gravitational wave signals, jet formation, and the properties of dense matter in neutron stars.

• Gravitational Waves
• Cosmology
• Gravitational Radiation Astrophysics
• +3 more

Archisman Ghosh is an Associate Professor at the Faculty of Sciences , Ghent University , specializing in gravitational waves , cosmology , and general relativity . His research spans experimental particle physics, astrophysics, and gravitational wave cosmology. His key research areas include: Gravitational Wave Detection Binary Black Hole Mergers Dark Standard Siren Cosmology Quantum Noise in Detectors Fast Radio Burst Correlation Recent publications focus on constraining the Hubble constant, analyzing eccentric binary coalescences, improving detector sensitivity with squeezed vacuum states, and developing Python packages like ICAROGW for population inference. His collaborations with the LIGO-Virgo-KAGRA Consortium highlight his role in multi-messenger astronomy. Notable projects include dark siren cosmology using galaxy catalogs and gravitational wave transient analysis.

Antonella PalmeseView profile

Assistant Professor

• Observational Cosmology
• Gravitational Wave Astronomy
• Galaxy Evolution
• +5 more

Antonella Palmese is an Assistant Professor in the Department of Physics at Carnegie Mellon University's Mellon College of Science. She specializes in observational cosmology, gravitational wave astronomy, and galaxy evolution, with affiliations to the Dark Energy Survey (DES), Dark Energy Spectroscopic Instrument (DESI), Laser Interferometer Space Antenna (LISA), Rubin Observatory Legacy Survey of Space and Time (LSST), and the Cosmic Explorer Consortium. Her research leverages galaxy surveys and gravitational wave data to study cosmic dynamics, dark energy, and the formation of compact object binaries. Ph.D., University College London (2018) M.Sc. and B.Sc., La Sapienza University of Rome (2013, 2011) Previous roles: NASA Einstein Fellow at UC Berkeley (2021–2022), Postdoctoral Research Associate at Fermilab (2018–2021), Associate Fellow at the University of Chicago (2019–2021) Her research lies at the intersection of gravitational wave experiments , large galaxy surveys , and time domain astronomy . Key projects include standard siren cosmology, GW follow-up with DECam, and galaxy cluster studies. She leads or co-leads initiatives like the DESI Transients and Low-redshift Cosmology Working Group, the GW-MMADS survey, and the DESIRT project. Recent publications focus on gravitational wave cosmology (e.g., Hubble constant measurements), binary black hole mass distributions , AGN flare correlations , and dust attenuation in galaxies . Her work integrates data from LIGO/Virgo runs, DES, DESI, and LSST to address fundamental cosmological questions. 2022 : Leonardo Da Vinci Award for Physics, Math, and Engineering 2021 : NASA Einstein Fellowship 2020 : Fermilab Exceptional Performance Recognition Award 2019 : Royal Astronomical Society Michael Penston Prize runner-up 2014 : Enrico Persico award Antonella uses facilities like the Dark Energy Camera (DECam) and contributes to multi-messenger astronomy by linking gravitational waves to electromagnetic transients. Her extracurricular interests include beach volleyball, crossfit, and visual arts.

• Architectural Design
• Robotic Construction
• Generative Design
• +2 more

Dr. Deborah Do Rosario Benros is a Senior Lecturer and Cluster Lead in Architecture at the University of East London. She specializes in computational design methodologies, robotic manufacturing, and sustainable micro-housing solutions. Her research bridges architectural theory with digital fabrication technologies, focusing on generative design systems and mass customization. Research interests span generative multilingual shape grammars, 3D printing applications in large-scale construction, and AI-assisted co-design processes. Her work emphasizes sustainable housing innovation through parametric modeling and robotic construction techniques. Recent publications demonstrate consistent focus on AI-driven design collaboration, robotic fabrication efficiency, and sustainable modular systems. Trends include increased integration of machine learning with architectural prototyping and human-AI co-creation frameworks. As Cluster Lead, she oversees research initiatives in Architecture, Computing & Engineering, fostering cross-disciplinary innovation in digital manufacturing.

Emad KassemView profile

Associate Professor

• Pavement Engineering
• Materials Characterization
• Infrastructure Materials
• +2 more

Emad Kassem is an Associate Professor in the Department of Civil & Environmental Engineering at the University of Idaho. His research focuses on pavement materials characterization, infrastructure durability, and sustainable construction technologies. Education includes: Ph.D. in Civil Engineering, Texas A&M University (2008) M.S. in Civil Engineering, Texas A&M University (2005) B.S. in Civil Engineering, Zagazig University (2001) Research areas include asphalt material performance, recycled materials utilization, non-destructive pavement evaluation, and computational modeling of infrastructure systems. Kassem develops predictive models for pavement performance and material behavior. Courses taught: Properties of Construction Materials Pavement Preservation and Management Engineering Statics Engineering Mechanics of Materials Awards: Engineers' Council Outstanding Engineering Achievement Merit Award (2016) Texas A&M Transportation Institute/Trinity New Researcher Award (2011)

Yongjin SungView profile

Associate Professor

• 3-D Imaging Flow Cytometry
• Near-Infrared Chemical Imaging
• X-ray Phase-Contrast Imaging
• +2 more

Yongjin Sung is an Associate Professor in Mechanical Engineering and Biomedical Engineering at the University of Wisconsin-Milwaukee's College of Engineering & Applied Science. His research develops advanced imaging technologies including 3-D imaging flow cytometry, near-infrared chemical imaging, and X-ray phase-contrast imaging for biomedical and industrial applications. Research focuses on: Noninvasive diagnostics of complex transport phenomena In situ monitoring of high-speed manufacturing processes Radioluminescence imaging techniques His publications demonstrate innovations in quantitative cell imaging and X-ray system design, advancing capabilities in both medical diagnostics and industrial process monitoring.

Nicolas Ali LibreView profile

Academic

• Civil Engineering
• Structural Engineering
• Concrete Technology
• +4 more

Nicolas Ali Libre is an Associate Teaching Professor in the Department of Civil, Architectural and Environmental Engineering at Missouri University of Science and Technology. He serves as Director of the Materials Testing Lab and has contributed extensively to research and education in civil engineering, with a focus on concrete technology, 3D printing materials, and innovative teaching methods. PhD in Civil Engineering (2009) MS in Structural Engineering (2003) BS in Civil Engineering (2001) His research spans concrete rheology, sustainable construction materials, and engineering education technologies, including 3D concrete printing optimization, fiber-reinforced composites, and digital learning tools. He has pioneered novel testing methods for concrete buildability and extrudability. Award-winning educator, he received the President’s Award for Innovative Teaching (2018) and Missouri S&T Faculty Achievement Award (2018). His scholarly output includes over 20 peer-reviewed journal articles, 60 conference papers, and mentorship of 10 graduate students. He manages the Materials Testing Lab at Missouri S&T and has developed digital educational resources for engineering mechanics courses, including the SecPro App for teaching mechanics concepts.

Thomas M. CrawfordView profile

Professor

• Condensed Matter Physics
• Nanotechnology
• Magnetic Materials
• +5 more

Thomas M. Crawford is a Professor in the Department of Physics and Astronomy at the University of South Carolina, affiliated with the McCausland College of Arts and Sciences . His research focuses on Condensed Matter Physics , particularly magnetic materials at nanoscale lengths and pico/femtosecond timescales, utilizing self-assembly techniques for creating meta-architectures like magnetic nanoparticle arrays and multiferroic nanofibers. University: University of South Carolina College: McCausland College of Arts and Sciences Department: Department of Physics and Astronomy Crawford’s work leverages extreme magnetic field gradients (millions of Tesla per meter) to pattern nanoparticles with nanometer resolution, enabling novel imaging and nano-optics studies. He founded the startup MagAssemble LLC (acquired by Thorlabs Inc. in 2019) and collaborates with institutions including the University of Colorado, Clemson University, and the University of Florida. His research is funded by the NSF DMR and SC EPSCoR . Recent publications span both Astrophysics (e.g., M87 jet polarization, black hole shadow studies with ALMA and EHT) and Materials Science (e.g., multiferroic nanofibers, machine learning applications in telescope pointing). This dual focus highlights his interdisciplinary bridge between nanoscale magnetic phenomena and cosmological observations.

Scott KovaleskiView profile

Professor

• Electromagnetics
• Pulsed Power
• Nuclear Engineering
• +2 more

Scott Kovaleski is Professor of Electrical Engineering and Computer Science at the University of Missouri. He holds a Ph.D. and M.S.E. from the University of Michigan and a B.S. from Purdue University. His research develops charged particle sources, electromagnetic systems, and nanofabrication methods using pulsed power and computational techniques. Current projects focus on piezoelectric-driven particle accelerators, metamaterial design optimization, and carbon nanotube electron sources. His laboratory advances compact radiation sources and computational methods for electromagnetic simulations. Recent publications demonstrate growing integration of deep learning in optical metasurface design and electromagnetic modeling. Key themes include physics-informed neural networks for inverse design, nanofabrication techniques, and vacuum electronics applications. His federally funded projects include research in charged particle generation, electromagnetics simulation, and pulsed power systems. Laboratory capabilities include computational modeling and experimental validation of particle acceleration systems.

Magdalena KrolView profile

Associate Professor

• Contaminant Transport Modeling
• Innovative Groundwater Remediation Technologies
• Microbially Influenced Corrosion of Used Nuclear Fuel Containers
• +4 more

Dr. Magdalena Krol is an Associate Professor at the Lassonde School of Engineering , York University , specializing in Environmental Engineering within the Civil Engineering department. She holds a PhD in Civil Engineering from the University of Toronto and M.E.Sc./B.E.Sc. in Civil and Environmental Engineering from the University of Western Ontario. Licensed Professional Engineer (P.Eng.) in Ontario Co-founder of the iWaTER Lab for interdisciplinary water research Research Focus Her work bridges groundwater remediation and nuclear waste management , utilizing numerical modeling to address: Subsurface gas dynamics during thermal remediation Migration of nano-scale zero valent iron (nZVI) particles Microbially influenced corrosion in nuclear repositories Green roof hydrology and CO2 sequestration modeling Publication Trends Her recent articles focus on BTEX biodegradation , bisulfide transport in bentonite , and coupled geothermal remediation systems , reflecting her expertise in contaminant hydrogeology and engineered environmental solutions . Scientific Recognition NSERC Post Doctoral Fellowship Early Career Award (International Association of Hydrogeologists) Lassonde Excellence in Graduate Mentorship Award Lassonde Innovation Award Dr. Krol actively mentors students like Aditi Chowdhury and collaborates on deep geological repository safety and thermal remediation optimization.

Dan EdidinView profile

Professor

• Algebraic Geometry
• Machine Learning
• Topology
• +1 more

Dr. Dan Edidin is Professor of Mathematics at the University of Missouri's College of Arts and Science, holding a Ph.D. from MIT (1991). His research spans algebraic geometry, machine learning, and topological methods in data science. Current investigations address phase retrieval problems over Lie groups, moduli space invariants, and orbit recovery algorithms. His work connects abstract algebraic geometry with applications in signal processing and cryo-electron microscopy reconstruction. Recent publications develop theoretical frameworks for signal recovery from invariant moments, K-theoretic analyses of moduli stacks, and sample complexity bounds for cryo-EM imaging. This interdisciplinary research bridges pure mathematics with computational imaging challenges.

Drew MarquardtView profile

Associate Professor

• Biophysics
• Membrane Biology
• Lipid Dynamics
• +7 more

Dr. Drew Marquardt is an Associate Professor in the Department of Chemistry and Biochemistry at the University of Windsor. His research focuses on biomembrane structure and dynamics, particularly using neutron and X-ray scattering techniques. He holds a PhD in Physics from Brock University (2014) and completed postdoctoral training at the University of Graz (Austria) and Oak Ridge National Laboratory (USA). Research Interests : Biomembrane mimetics, lipid-small molecule interactions, pulmonary surfactant function, and compact accelerator-based neutron sources (CANS). His work bridges physics, chemistry, and biology to address fundamental questions in health and disease, including vitamin E's antioxidant role and vaping-related lung injury mechanisms. Selected Projects : Development of asymmetric lipid vesicles for realistic membrane models Biophysical mechanisms of vitamin E in lipid membranes Neutron scattering-based studies of lipid dynamics and domain formation Pulmonary surfactant stability under vaping toxin exposure Design of a Canadian CANS facility for neutron research Collaborations : Industry partnerships with Catalent Inc. for lipid-based drug delivery systems. Active in national neutron science initiatives, including the Canadian Institute for Neutron Scattering.

Paul MannsView profile

Assistant Professor

• Mathematical Optimization
• PDE-Constrained Optimization
• Integer Programming
• +1 more

Paul Manns is an Assistant Professor of Optimization at TU Dortmund University's Department of Mathematics, appointed in 2021. His research specializes in mathematical optimization involving partial differential equations and integer constraints, with emphasis on regularization techniques and trust-region algorithms. Education includes: Ph.D. in Mathematics, TU Braunschweig (2019) Computational Engineering studies, TU Darmstadt Prior research experience includes positions at Heidelberg University, TU Braunschweig, and Argonne National Laboratory (USA), including a James H Wilkinson Fellowship. Recent publications develop novel methods for mixed-integer control problems, domain decomposition, and convergence analysis in non-convex optimization spaces.

Xiangyu LiView profile

Assistant Professor

• Radiative Cooling
• Atmospheric Water Harvesting
• Solar Desalination
• +4 more

Dr. Xiangyu Li serves as an Assistant Professor in the Department of Mechanical, Aerospace and Biomedical Engineering at the University of Tennessee, Knoxville since August 2022, following a Postdoctoral Associate position at MIT's Department of Mechanical Engineering (2019-2022) where he researched building energy efficiency, radiative cooling, and water harvesting technologies. His academic foundation includes a PhD in Mechanical Engineering from Purdue University (2018) and a Bachelor of Science from Tsinghua University, Beijing (2012). This rigorous training underpins his interdisciplinary approach to sustainability challenges. Dr. Li's research tackles the water-energy-climate nexus through fundamental thermal science and materials innovation. His work spans: Radiative cooling for building efficiency (notably the Guinness World Record-holding 'whitest paint') Atmospheric water harvesting in arid environments Solar desalination and thermal energy storage systems High-temperature heat exchanger design using novel ceramics His methodology combines nanoscale thermal transport studies with scalable system engineering to address global sustainability challenges. Analysis of his 15 most recent publications reveals a strategic research trajectory: early work established foundational thermal transport principles in nanomaterials, while current research focuses on commercial-scale implementation of water/energy technologies. Key trends include machine learning integration for materials discovery, multi-cyclic atmospheric water harvesting systems, and standardization frameworks for radiative cooling performance assessment. Major recognitions include: 2021 R&D 100 Awards Finalist for radiative cooling technology Guinness World Record for developing the world's whitest paint (2021) Cover Article designation in ACS Applied Materials & Interfaces with global media coverage (BBC, CNN, WSJ) As an active scientific contributor, Dr. Li serves as reviewer for Nature Energy, Nature Communications, and other leading journals while co-chairing sessions at the Materials Research Society meetings. He directs the WISE Lab which bridges fundamental research with real-world water-energy solutions through industry partnerships and NSF-funded projects. The Water Innovation, Sustainable Energy (WISE) Lab under Dr. Li's leadership operates as an interdisciplinary hub where thermal science, materials engineering, and system design converge. Current initiatives include developing autonomous atmospheric water harvesters for drought-prone regions and high-efficiency thermal storage for renewable energy integration, with strong industry collaboration for technology transfer.

Nicole McFarlaneView profile

Associate Professor

• Electrical Engineering
• Microelectronics
• Biosensors
• +3 more

Nicole McFarlane is an Associate Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville (UTK), where she also holds the TCE Advance Professor title. She is affiliated with the Tickle College of Engineering and leads the Micro-Bio-Electronics Group (MLAB), focused on advanced sensor technologies. Education: Nicole McFarlane earned a PhD in Electrical Engineering from the University of Maryland, College Park (2010), and dual bachelor's (BS, 2001) and master's (MS, 2003) degrees in Electrical Engineering from Howard University, Washington D.C. Research Interests: Her work centers on developing compact, efficient sensor systems using mixed-signal CMOS strategies and nanotechnology. Applications span electrochemical biosensors, point-of-care medical devices, nuclear imaging panels, and hardware security for embedded systems. The MLAB lab emphasizes cost-effective, scalable solutions for healthcare, military, and research domains. Article Trends: Recent publications (2024) highlight innovations in perimeter-gated SPAD arrays for cryptographic security, silicon photomultipliers for nuclear imaging, and asynchronous readout architectures. 2023 work includes multimodal gesture recognition systems and pH sensors with integrated encryption. These studies reflect her focus on merging cutting-edge CMOS technologies with secure, multifunctional sensor design. Scientific Awards: No awards explicitly listed in the provided texts. Advising & Grants: Nicole advises students in the Kao Department's graduate and undergraduate programs. While specific advisee names are not provided here, her research is supported by grants in microelectronics and sensor integration. She has pioneered portable biosensor systems, including wireless pH-impedance devices and encryption architectures for wearable health monitors. Labs & Teams: As founder/leader of the Micro-Bio-Electronics Group (MLAB), she oversees projects combining CMOS fabrication with nano/micro-fabrication techniques. The lab explores applications ranging from implantable medical sensors to battlefield-ready detection systems, emphasizing interdisciplinary collaboration.