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Liu LiuView profile

Assistant Professor

• Computer Architecture
• Artificial Intelligence
• Machine Learning
• +3 more

Liu Liu is an Assistant Professor in the Department of Electrical Computer and Systems Engineering (ECSE). His research focuses on the intersection of computer architecture and artificial intelligence/machine learning (AI/ML), emphasizing hardware-algorithm co-design to enhance efficiency, performance, and robustness in AI systems. He joined ECSE in 2022 after earning his Ph.D. from the University of California Santa Barbara in Computer Science and holds an M.S. in Computer Engineering and a B.Eng. in Information Display and Optoelectronics from UC Santa Barbara and the University of Electronic Science and Technology in China, respectively. Liu’s educational background includes: Ph.D., Computer Science, University of California Santa Barbara, 2022 M.S., Computer Engineering, University of California Santa Barbara, 2015 B.Eng., Information Display and Optoelectronics, University of Electronic Science and Technology of China His research interests lie in addressing the energy efficiency challenges in AI systems through elastic algorithm-architecture co-design. He explores dynamic connectivity and adaptive architectures to reduce redundant computations, aiming for scalable and energy-efficient AI solutions. His work bridges computer architecture and machine learning, seeking to optimize both hardware and algorithmic approaches for better performance and sustainability. Liu has been recognized with the prestigious NSF CAREER Award for his project on elastic co-design for energy-efficient AI. This award supports his innovative approach to advancing sustainable AI technologies. Advising and grant activities include the NSF CAREER Award-funded research into energy-efficient AI architectures. He also engages in educational outreach to promote diversity in computing. No student advisees are explicitly listed in the provided materials. His collaborative projects involve neutron scattering studies at facilities like the ORNL Spallation Neutron Source, reflecting interdisciplinary work at the intersection of computing and materials science.

Gerrard MarangoniView profile

Professor

• Surfactant Chemistry
• Colloidal Science
• Polymer Science
• +3 more

Gerrard Marangoni is a Professor in the Department of Chemistry at St. Francis Xavier University. His research focuses on surfactant chemistry, colloidal science, and polymer science, with emphasis on self-assembly processes, drug delivery systems, and nanoparticle synthesis. He has published extensively on topics including micellar properties, mixed micelle formation, and the application of surfactants in biomedical and environmental contexts. His work integrates experimental techniques such as NMR spectroscopy, calorimetry, and scattering methods to study molecular interactions in complex systems. Key areas of investigation include the design of stimuli-responsive materials, drug solubilization mechanisms, and the development of sustainable synthesis methods for nanomaterials. Recent studies highlight his exploration of glucose-responsive surfactant systems, glyme-surfactant interactions, and the thermodynamic analysis of mixed micelle systems. His contributions span both fundamental and applied research, bridging the gap between chemical principles and real-world applications in health, energy, and the environment.

Noora AhoView profile

Researcher

• Molecular Modelling
• Computational Chemistry
• Biophysics
• +3 more

Noora Aho is a Postdoctoral Researcher at Saarland University, Germany, working in Professor Jochen Hub's Computational Biophysics group since July 2023. She specializes in molecular modeling of biological systems using GROMACS, with expertise in constant pH molecular dynamics (CpHMD) for membrane-protein complexes and photoacids, alongside SAXS-MD integration for structural validation. Her educational background includes: Postdoc in Computational Biophysics, Saarland University (2023–present) PhD in Computational Chemistry, University of Jyväskylä, Finland (2018–2023), supervised by Prof. Gerrit Groenhof Teacher’s Pedagogical Studies, University of Jyväskylä (2020–2022) MSc in Physics, University of Helsinki, Finland (2015–2018), thesis with Prof. Ilpo Vattulainen BSc in Physics, University of Jyväskylä, Finland (2012–2015) Dr. Aho's research centers on pH-dependent biomolecular simulations, developing CpHMD methodologies for GROMACS and coupling MD with experimental SAXS data. Her work targets membrane-embedded systems where protonation dynamics govern function, enabling accurate modeling of biological processes like proton transport. Her 2022–2023 publications reveal a focused trajectory in computational methodology: advancing CpHMD implementation (JCTC 2022), establishing best practices (ChemRXiv 2023), and applying these to proton diffusion in membranes (JCTC 2022). These contributions strengthen the toolkit for simulating pH-sensitive biomolecules, particularly membrane proteins. No scientific awards or fellowships were documented in the source material. As a recent postdoc, Dr. Aho has no advisory roles or grant leadership mentioned; her contributions center on collaborative research within Hub's group. She actively engages with the GROMACS community through GitLab, troubleshooting forcefield updates and simulation protocols for CpHMD. She operates within Saarland University's Computational Biophysics group, which develops advanced simulation techniques for biomolecular systems. The team emphasizes open-source tool development (e.g., GROMACS-SWAXS) and interdisciplinary approaches bridging computation with biophysical experiments.

Simon BillingeView profile

Professor

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

Simon Billinge is a Professor of Materials Science and Applied Physics and Applied Mathematics at Columbia University and a Scientist at Brookhaven National Laboratory. He holds a Ph.D. from the University of Pennsylvania (1992) and a B.A. from Oxford University. Previously, he served as a postdoc at Los Alamos National Laboratory and held faculty positions at Michigan State University, advancing to Full Professor by 2003. His research focuses on nanoscale structure-property relationships using advanced X-ray and neutron diffraction techniques, particularly the atomic pair distribution function (PDF) method. He has published over 200 papers and is a Fellow of the American Physical Society and Neutron Scattering Society of America. Education: Ph.D., Materials Science and Engineering, University of Pennsylvania (1992) B.A., Oxford University Research Interests: His work spans materials for energy, catalysis, environmental remediation, and pharmaceuticals. He develops PDF methods to study disordered crystals and nanomaterials, integrating machine learning for data analysis. Recent trends include AI-driven structure solutions, operando studies of catalytic materials, and materials genome initiatives. Awards: Carnegie Corporation honor (2011) for immigrant contributions 2010 J.D. Hanawalt Award Michigan State University Distinguished Faculty Award Thomas H. Osgood Teaching Award Grants and Advising: He chairs major facility reviews and federally funded programs. His team at the Billinge Group (https://thebillingegroup.com/) develops tools like MLstructureMining and ClusterFinder for structural analysis. Collaborations include Brookhaven National Lab and global initiatives like the JUAMI African Materials Institute.

En-Shinn WuView profile

Academic

• Biophysics
• Polymer Science
• Biomedical Engineering
• +3 more

Dr. En-Shinn Wu is an Associate Professor Emeritus in the Department of Physics at the University of Maryland, Baltimore County (UMBC). He retired in June 2012 after a 38-year tenure at UMBC, beginning in 1974. He holds a PhD from Cornell University (1972) and a BS from National Taiwan University (1965). His research focuses on macromolecular dynamics using fluorescence recovery after photobleaching (FRAP) and fluorescence correlation spectroscopy (FCS), with applications in polymer science, biophysics, and biomedical engineering. Additional expertise includes dynamic light scattering, multiphoton excitation techniques, and two-photon lithography for microelectronic fabrication. Dr. Wu has held visiting roles at the University of North Carolina Medical School (1983-84) and Cornell University's Applied Physics Department (1999-2000). He co-founded Fluorescence Unlimited, Inc., a company focused on advanced imaging technologies. His work bridges physics and biology, emphasizing practical applications in materials science and medical devices. No scientific awards are explicitly listed in the provided text. His research has been published in interdisciplinary journals like Biophysical Journal and World Biomaterials , reflecting a focus on both fundamental physics and applied biomedical solutions.

• Solid State Physics
• Magnetism
• Superconductivity
• +3 more

Wojciech Tabiś is a university professor at the AGH University of Science and Technology in Kraków, Poland. He holds a habilitation degree and is affiliated with the Faculty of Physics and Applied Informatics, specifically the Department of Solid State Physics. His research focuses on solid-state physics, magnetism, superconductivity, and advanced materials characterization. He has contributed extensively to studies on magnetite's Verwey transition, electronic structure of cuprates, and intercalation effects in layered materials. His work often involves advanced techniques like X-ray diffraction, Mössbauer spectroscopy, and neutron scattering. He is part of the university's academic council for the discipline of physical sciences (Rada Dyscypliny Nauki Fizyczne). His research interests include exploring phase transitions under pressure, doping effects in superconductors, and structural dynamics of magnetic materials. Recent studies highlight investigations into multiferroic materials, strain-engineered thin films, and electronic transport mechanisms in cuprates. These contributions bridge fundamental physics with applications in materials science and energy technologies.

Natasha JeffreyView profile

Lecturer

• Solar Physics
• Astrophysics
• Solar Flare Research
• +5 more

Natasha Jeffrey is a Lecturer and Vice-Chancellor Fellow at Northumbria University specializing in solar physics. She leads research on solar flares as natural laboratories for studying astrophysical processes, particularly focusing on magnetic reconnection, turbulence, and energetic particle acceleration. Her work bridges observational astronomy with kinetic modeling to understand fundamental plasma processes occurring on the Sun. Her research interests center on solar flare phenomena using high-energy observations (X-ray, EUV) combined with sophisticated kinetic modeling. She investigates particle acceleration mechanisms, X-ray transport effects, and the connection between solar flare energetic electrons observed at the Sun and in the heliosphere. Her work has significant implications for understanding space weather and fundamental plasma physics applicable across astrophysics. Jeffrey's recent publications demonstrate a strong focus on stereoscopic X-ray observations using Solar Orbiter/STIX, turbulence in solar flares, and the connection between solar flare acceleration processes and solar energetic particles. Her research increasingly leverages multi-point observations and advanced modeling techniques to constrain particle acceleration mechanisms. European Geophysical Union (EGU) Solar-Terrestrial Early Career Researcher Prize European Physical Society (EPS) Solar Physics Division (ESPD) Early Career Researcher Prize EPS Plasma Physics Thesis Prize As Chair of the UK Solar Physics council, Jeffrey leads national coordination in solar physics research. She supervises PhD student Samuel Carter on constraining processes that accelerate and transport solar flare energetic electrons. Her research is supported by significant grants including UKRI STFC Consolidated and New Applicant Grants, and International Space Science Institute projects focused on stereoscopic X-ray observations and solar flare turbulence.

Max BrilsView profile

Researcher

• Climate Change
• Glaciology
• Environmental Science
• +3 more

Dr. Max Brils is a researcher at Northumbria University specializing in the climatic responses of ice sheets. His work employs numerical models to study Greenland's interactions with the atmosphere and Antarctica's oceanic influences. He holds a Physics PhD (2024), an Applied Physics MSc, and dual Chemical Engineering MSc/BSc degrees. Research interests include firn layer dynamics, meltwater partitioning, and satellite altimetry applications. His studies bridge glaciology with climate science, focusing on ice sheet stability under warming conditions. Key projects involve firn aquifer formation, ice slab climatic drivers, and historical temperature analyses using machine learning. Recent publications (2021-2024) emphasize firn layer modeling (IMAU-FDM), Antarctic spatial variability, and Greenland mass balance assessments. His work contributes to understanding ice sheet contributions to sea-level rise and climate change impacts.

Haran GiladView profile

Professor

• Nanophotonics
• Protein Folding
• Super-Resolution Microscopy
• +6 more

Prof. Gilad Haran is a Full Professor in the Chemical and Biological Physics Department at the Weizmann Institute of Science, Israel. He served as Dean of the Faculty of Chemistry (2012–2018) and Director of the Dwek School of Chemical Research (2008–2010). His research focuses on single-molecule biophysics, nanophotonics, and protein dynamics, employing advanced spectroscopic techniques like fluorescence and Raman scattering. He holds prestigious positions such as the Hilda Pomeraniec Memorial Professorial Chair and has been recognized with major awards including the American Chemical Society Nakanishi Prize (2023) and the European Research Council Advanced Grant (2017). Education: PhD in Chemical Physics (1993, Weizmann Institute), postdoctoral training at the University of Pennsylvania (1994–1998). His academic progression includes Senior Scientist (1998–2005), Associate Professor (2005–2011), and Full Professor (2011–present). Research Interests: Single-Molecule Biophysics: Dynamics of proteins in action, including enzyme catalysis and molecular machines like ClpB. Nanophotonics: Surface plasmon excitations, quantum dot-light emission interactions in nanocavities. Super-Resolution Microscopy: 3D localization of T-cell receptors and membrane protein organization. His work bridges chemical physics and biology, with a focus on real-time molecular processes. Key Achievements: Pioneered methods in single-molecule FRET for studying protein dynamics. Discovered ultrafast dynamics in AAA+ protein disaggregases. Advanced plasmon-exciton coupling studies in nanophotonic systems. Grants & Awards: Over 10,000 citations, H-index 53. Major grants include ERC Advanced Grant (2017) and Israel Science Foundation Breakthrough Grant (2022). Honors include Fellowships from the Royal Society of Chemistry and Biophysical Society. Labs/Teams: Leads a multidisciplinary group at Weizmann, integrating spectroscopy, nanotechnology, and computational modeling to study molecular mechanisms at the single-particle level.

Fahid AminView profile

Senior Lecturer

• Combustion of Hydrogen, Ammonia, and Biofuels
• Emission Measurements
• Flame Synthesised Nanoparticles
• +3 more

Dr. Fahid Amin is a Senior Lecturer in Mechanical & Aerospace Engineering at Teesside University, affiliated with the SCEDT Engineering Centre for Sustainable Engineering. He joined the university in November 2020 after serving as a postdoctoral research associate at Imperial College London (2018–2020) and completing his PhD at King Abdullah University of Science and Technology (2011–2018). His academic journey also includes an MSc from Politecnico di Milano (2008–2010) and a BSc from the University of Engineering and Technology, Lahore (2003–2007). His research focuses on reducing global pollutant emissions, with expertise in combustion dynamics, smouldering combustion, and optical diagnostics. Key research themes include hydrogen/ammonia biofuel combustion, emission measurement techniques, flame-synthesised nanoparticles, and air quality monitoring. He has conducted extensive experiments on smouldering combustion in peatlands and high-pressure soot morphology studies using advanced diagnostics like multi-angle light scattering and laser-induced incandescence. Dr. Amin’s articles (e.g., studies on peatland wildfires, soot parameters in counterflow flames, and suppression strategies) reflect his dedication to environmental and combustion science. His work has been published in top journals such as Combustion and Flame and International Journal of Wildland Fire . While no scientific awards are explicitly listed, his contributions to sustainable engineering and wildfire mitigation are notable. He is available to supervise PhD students and has experience in lab-scale and field experiments. His work aligns with interdisciplinary efforts to address environmental challenges through combustion science and engineering solutions.

Mads Peter SørensenView profile

Professor

• Nonlinear Dynamics
• Applied Mathematics
• Superconductivity
• +5 more

Mads Peter Sørensen is a Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on nonlinear dynamics, superconductivity, and fluid dynamics, with contributions to mathematical modeling in fields such as disease dynamics, traffic flow, and acoustics. He is actively involved in interdisciplinary projects, including studies on methane cracking for carbon production and bacterial biofilm growth in microfluidic systems. His work aligns with UN Sustainable Development Goals related to sustainable energy and health. Key projects include investigations into superconducting elements, nonlinear stochastic models of molecular crystals, and ultra-short optical pulse generation. Sørensen has collaborated internationally, contributing to over 147 publications. Notable recent work includes studies on memory effects in disease modeling and nonlinear oscillations in acoustic systems. He has advised multiple research projects, including those on high-temperature superconductivity and flux dynamics. His research often integrates analytical and numerical methods, addressing both fundamental and applied challenges in nonlinear systems.

Sergey DergunovView profile

Assistant Professor

• Materials Chemistry
• Nanotechnology
• Organic Synthesis
• +4 more

Sergey Dergunov is an Assistant Professor at the University of Connecticut in the Department of Chemistry. He holds a Ph.D. in Chemistry from Kazakh National University (2006) and a Dipl. Chem. Eng. from Kazakh National State University (2001). His academic career includes an Assistant Research Professor position at Saint Louis University (2011-2014) and a Postdoctoral Fellowship at the University of Memphis (2007-2011). His research focuses on the synthesis and application of functional materials, particularly polymers and surfactants. Key areas include self-assembly of hierarchical nanostructures in solution and on surfaces, transition metal-catalyzed organic synthesis, and stimuli-responsive materials. His work bridges materials chemistry, nanotechnology, and applied chemical engineering, targeting advancements in biomedical, industrial, and sensing applications. Recent publications highlight his expertise in vesicle-templated polymer nanocapsules, RAFT polymerization techniques, and surfactant-based corrosion inhibitors. While no specific awards or advisees are documented in the provided texts, his extensive publication record underscores contributions to nanomaterials and sustainable polymer synthesis. Contact details include the email sergey.dergunov@uconn.edu and the University of Connecticut's Storrs Campus address.

Eugene PinkhassikView profile

Associate Professor

• Nanomaterials
• Nanodevices
• Energy-related Technologies
• +5 more

Eugene Pinkhassik is an Associate Professor in the Department of Chemistry at the University of Connecticut. His research focuses on developing nanomaterials and nanodevices to address challenges in energy, medical imaging, treatment, and environmental sensing. He holds a Ph.D. from the Institute of Chemical Technology in Prague (1997) and a Dipl.Chem. from Kazan University (1991), with postdoctoral training at the University of Colorado, Boulder. His work includes grants from the NSF and UConn Research Excellence Program for functional nanodevices and rotaxane-based structures. Key contributions involve thin-shelled polymer nanocapsules, stimuli-responsive systems, and applications in catalysis and biomedical imaging. Notable achievements include publishing over 50 peer-reviewed articles on nanocapsule design, shell characterization, and biomedical applications. Students supervised include Cristian Aviles-Martin, Allison Zupan, and Jessica Martin, many of whom have received prestigious awards like the NSF GRFP and ACS SURF grants. His lab emphasizes safety initiatives, including the Department of Chemistry Joint Safety Team, and collaborates with institutions like Oak Ridge National Laboratory and NIST for neutron scattering studies.

Almir MaricView profile

Associate Professor

• Physical Channel Modeling
• Communication Channel Characterization
• Fading Channels
• +5 more

Almir Maric is an Associate Professor at the Department of Telecommunications, Faculty of Electrical Engineering, University of Sarajevo. He holds a PhD in Telecommunication Engineering from the same university (2020), preceded by a Master’s (2013) and Bachelor’s (2010) in the same field. His research focuses on geometric-based stochastic channel modeling, communication channel characterization, and fading channel simulation. He has contributed to renowned journals like Wireless Networks and IEEE Communications Surveys & Tutorials , as well as conferences such as the International Conference on Information, Communication and Automation Technologies (ICAT). His work spans topics including composite fading models, error probability analysis in digital modulation, and quantum cryptography in 5G networks. Education: Bachelor’s (2010), Master’s (2013), PhD (2020) in Telecommunication Engineering, University of Sarajevo Maric’s research trends emphasize statistical channel modeling, stochastic processes in wireless systems, and network security in software-defined networks. Notable contributions include the Best Paper Award at the MCSS’17 conference for his work on quantum key distribution signaling protocols. Awards: Best Paper Award at MCSS’17 (2017) His publications reflect a blend of theoretical and applied research, with collaborations on books such as Zbirka zadataka iz mikrotalasnih komunikacija (2020). His work bridges fundamental channel modeling with practical applications in 5G and quantum communication systems.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +4 more

Ning Zhang is a researcher affiliated with Tsinghua University , Department of Electronic Engineering, focusing on interdisciplinary applications of computer science and artificial intelligence in domains such as medical imaging, fault diagnosis, and multimodal systems. Their work bridges theoretical advancements with practical implementations in engineering, agriculture, and finance. Research Interests : Machine learning, signal processing, graph neural networks, and neuromorphic computing. Key Contributions : Recent publications highlight innovations in event-based tracking, digital twin systems, and reinforcement learning integration with vision-language models. Technological Focus : Applications include fault diagnosis in rotating machinery, medical image segmentation (CT-Net), and AI-driven urban risk assessment. The 2024-2025 publication trends reveal a strong emphasis on deep learning for remote sensing, reinforcement learning security, and stochastic control systems. Collaborations span institutions like the University of Manchester, Peking University, and Washington University in St. Louis.