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Uta PassowView profile

Professor

• Biological Carbon Pump
• Climate Change Impact on Oceans
• Oil Spill Biodegradation
• +4 more

Dr. Uta Passow is a Professor and Canada Research Chair Tier 1 in Biological Oceanographic Processes at the Memorial University of Newfoundland . She leads the AEON Laboratory (Anthropogenic Effects on the Oceanography of Newfoundland) at the Ocean Sciences Centre, focusing on ocean-climate interactions and pollutant impacts. Specializes in Biological Carbon Pump dynamics under climate change Investigates oil spill and microplastic pollution mechanisms Conducts lab and field research in Labrador Sea and Gulf of Mexico Her lab AEON Laboratory explores: Marine snow aggregation and fragmentation Microplastic transport pathways Oil biodegradation in freshwater and marine ecosystems Scientific contributions include: Fellow of The Royal Society of Canada Lead researcher in Transforming Climate Action and Multi-Partner Research Initiative projects Collaborations with Nunatsiavut communities and Fisheries and Oceans Canada Recent publications address oil-marine snow interactions , microplastic sedimentation , and storm impacts on carbon flux . Her work informs ocean policy and spill response strategies.

Andre SchöningView profile

Professor

• Particle Physics
• High-Energy Physics
• Detector Development
• +5 more

Prof. Dr. Andre Schöning is a Full Professor (W3) at the Physics Institute of Heidelberg University since 2009, specializing in experimental particle physics. He serves as Co-Spokesperson of the Mu3e Collaboration and leads research in detector development and high-energy physics experiments. Research Interests: Search for the decay μ→eee with the Mu3e Experiment at PSI Development of High-Voltage Monolithic Active Pixel Sensors (HV-MAPS) Track trigger systems for ATLAS and future colliders Physics analysis with ATLAS and historical H1 experiment data Wireless data transmission technologies for particle detectors His recent publications demonstrate strong focus on detector technology development, particularly for muon experiments and high-rate tracking systems, alongside significant contributions to Standard Model physics measurements at the LHC. The research spans both hardware development and sophisticated data analysis techniques. Scientific Recognition: CERN Fellowship (1997-1999) University of Hamburg dissertation award (1997) Association of the Friends and Sponsors of DESY dissertation award (1997) Prof. Schöning has secured substantial research funding from DFG and BMBF from 2009-2025, including leadership of the DFG Research Unit on Lepton Flavor Violation with Mu3e. He maintains active collaborations including WADAPT, Mu3e, ATLAS, and the long-standing H1 collaboration. His research group operates within the High-Energy Physics division of Heidelberg's Physics Institute, working on cutting-edge detector systems for current and future particle physics experiments, with particular emphasis on precision measurements requiring novel detector technologies.

• Nanotechnology
• Materials Science
• Drug Delivery
• +3 more

Wali Inam is a Researcher at the Faculty of Natural Sciences and Technology of Åbo Akademi University. Their work focuses on Pharmacy Solutions for health , with a strong emphasis on Nanotechnology , Materials Science , and Drug Delivery . They have contributed to the understanding of nanoparticle behavior and characterization techniques. Current Affiliation : Åbo Akademi University, Faculty of Natural Sciences and Technology Contact : wali.inam@abo.fi Research interests include: Nanoparticle Characterization (Dynamic Light Scattering, Transmission Electron Microscopy) Microfluidics for nanoprecipitation and encapsulation processes Stability Evaluation of nanoformulated proteins Electrokinetic Properties of polymeric nanoparticles Molecular Dynamics simulations in nanoscale assembly Buffer Compatibility in nanoparticle systems Recent publications highlight their work in Nanostructured Materials (100% relevance), Particle Characterization (93% relevance), and Flow Dynamics (100% relevance). Their contributions align with Sustainable Development Goals related to health and well-being.

• Nanobiotechnology
• Antimicrobial Resistance
• Bacterial Pathogens
• +3 more

Dr. Cindy Gunawan is an Associate Professor at the University of Technology Sydney (UTS), leading the Biofunctional Nanomaterials Research Group within the ithree Institute. Her work focuses on antimicrobial resistance mechanisms, particularly bacterial adaptation to nanoparticles, and the development of novel antimicrobial technologies. She holds adjunct roles at the University of Sydney and UNSW. Gunawan earned her BEng (Honours Class I & University Medal) and PhD in Biotechnology from UNSW Sydney, followed by postdoctoral research at UNSW's Particle and Catalysis Research Group. Her research has attracted over AUD 1.6M in grants, including ARC and Australian Academy of Science funding. Key contributions include discovering bacterial resistance to nanosilver and pioneering studies on nanoparticle environmental impacts. Education: Bachelor of Engineering (Bioprocess Engineering, Honours Class I & University Medal), UNSW Sydney (2002) PhD in Biotechnology, UNSW Sydney (2006) Research Interests: Her interdisciplinary research spans nanobiotechnology, microbial adaptation to nanomaterials, and the development of smart antimicrobials. She investigates how nanoparticles interact with bacterial biofilms and their broader implications for public health and the environment. Recent work explores nanosilver resistance mechanisms, sonocatalytic bacteria eradication, and the neurodegenerative effects of air pollutants. Grants & Awards: ARC Discovery Project Fellowship Australian Academy of Science Fellowship Chancellor’s Postdoctoral Research Fellowship (UTS) International Postgraduate Research Scholarship (IPRS) Service & Media: Gunawan actively reviews for journals like Small , ACS Nano , and Environmental Science and Technology . Her work has been featured in Nature Nanotechnology and media outlets such as the Australian Research Council. She advocates for responsible nanoparticle regulation to mitigate resistance risks. Labs & Teams: Her lab at UTS integrates nanomaterial engineering, microbiology, and toxicology to address global challenges in antimicrobial resistance and environmental health.

• Energetic Materials
• Combustion
• Solid Propellants
• +4 more

Steven Son is the Alfred J McAllister Professor of Mechanical Engineering at Purdue University with a courtesy appointment in Materials Engineering. His research focuses on energetic materials, combustion physics, and advanced propulsion systems through experimental and computational investigations. Primary Affiliation: Department of Mechanical Engineering, College of Engineering Laboratory: Zucrow Labs, Purdue University Dr. Son's research spans: Combustion and detonation physics Laser diagnostics and spectroscopy Smart energetic material design Additive manufacturing of propulsion components Flexoelectric and piezoelectric material applications Thermal decomposition mechanisms His recent work demonstrates advancements in: Aluminized composite propellant characterization Shock sensitivity of molecular crystals Throttleable solid propellant systems Machine learning for energetic material properties 3D-printed energetic compositions Current advisees include graduate student Ethan Binkley , while his laboratory group conducts research at Zucrow Labs, Purdue's premier propulsion research facility.

Aurel BulgacView profile

Professor

• Nuclear Theory
• Quantum Many-Body Systems
• Theoretical Physics
• +3 more

Aurel Bulgac is a Professor in the Department of Physics at the University of Washington, part of the College of Arts & Sciences. His research focuses on quantum many-body nuclear physics, nuclear theory, and superfluid systems. He specializes in time-dependent density functional theory (TDDFT) and its applications to nuclear fission, vortex dynamics in superfluids, and cold atomic gases. Affiliations: Nuclear Theory Group, Department of Physics, University of Washington Research Interests: Exploring the dynamics of strongly interacting fermionic systems, including nuclear fission processes, vortex behavior in superfluids, and quantum turbulence. His work combines advanced computational methods like quantum Monte Carlo and high-performance computing to model complex phenomena such as neutron star crust dynamics and unitary Fermi gases. Key Contributions: Developed frameworks for real-time simulations of nuclear fission, quantized vortices, and superfluid turbulence. His research bridges nuclear physics, condensed matter, and quantum many-body theory, with applications to neutron stars and cold atoms. Scientific Awards: Fellow of the American Physical Society, APS Outstanding Referee Grants & Advising: Leads projects supported by initiatives like the UNEDF collaboration, focusing on computational nuclear physics. Advises students on topics spanning nuclear dynamics and quantum simulations. Active in developing numerical tools like the LISE and W-SLDA packages for simulating fermionic systems. Labs/Teams: Member of the Nuclear Theory Group at UW, collaborating internationally on projects involving fission dynamics, vortex physics, and computational methods.

Jordan CotlerView profile

Assistant Professor

• Quantum Information
• Quantum Computation
• Quantum Gravity
• +5 more

Jordan Cotler is an Assistant Professor of Physics at Harvard University, affiliated with the Department of Physics within the Faculty of Arts and Sciences. He holds a BS in physics and mathematics from MIT (2015) and a PhD in physics from Stanford University (2020). Before joining Harvard's faculty, he served as a Junior Fellow at the Harvard Society of Fellows from 2020 to 2024. His research focuses on the intersection of quantum information, computation, and spacetime physics. Key interests include quantum algorithms for analyzing many-body and quantum gravitational systems, information-theoretic frameworks for chaotic dynamics, and non-perturbative methods in quantum cosmology and field theory. Cotler's work has advanced quantum algorithm design for experimental platforms and contributed to understanding black hole microstructure and cosmological spacetimes. He has been recognized with prestigious early-career awards, including his Harvard Society of Fellows Junior Fellowship. His publications span foundational topics such as quantum gravity, holography, computational complexity, and quantum chaos, reflecting a multidisciplinary approach to theoretical physics.

Joel P JohnsonView profile

Associate Professor

• Geomorphology
• Landscape Evolution
• Sediment Transport
• +3 more

Dr. Joel P. Johnson is an Associate Professor in the Department of Earth and Planetary Sciences at The University of Texas at Austin's Jackson School of Geosciences. His research focuses on quantifying active surface processes, including geomorphic feedbacks, landscape evolution, and sediment transport dynamics. He explores topics like lithologic controls on topography, tsunami deposit analysis, and morphodynamics in mountain rivers. His work integrates field studies, laboratory experiments, and numerical modeling. Education: BS in Earth Sciences, PhD from MIT, postdoc at USGS. He teaches courses like Earth Wind and Fire, Geomorphology, and Professional Ethics in Geosciences. He co-leads the Jackson Scholars program, fostering student engagement and professional development. Research Themes: (1) Climatic and lithologic influences on landscape evolution, (2) Mountain river morphodynamics using smartrocks and flume experiments, (3) Tsunami and storm surge deposit analysis for hazard assessments. Key projects include Guadalupe Mountains lithology studies, Martian canyon comparisons, and Hawaii climate-erosion feedbacks. Advising: Supervises PhD/Master’s students and undergrad researchers (e.g., Grace Guryan, Morgan Carrington). Collaborates with institutions like Tulane University and Durham University. Publications span 20+ peer-reviewed articles since 2003, focusing on fluvial processes, sediment transport, and geomorphic modeling. Labs/Teams: Active in experimental flume research at UT, smartrock tracer technology development, and comparative planetology studies. His group emphasizes interdisciplinary approaches to address Earth system challenges.

Aida X El-KhadraView profile

Professor

• Theoretical Particle Physics
• Lattice Quantum Chromodynamics (QCD)
• Muon Anomalous Magnetic Moment (g-2)
• +3 more

Professor Aida X El-Khadra is a leading theoretical physicist at the University of Illinois Urbana-Champaign, affiliated with the Department of Physics within the Grainger College of Engineering. She holds the rank of Professor since 2008, following roles as Associate and Assistant Professor. Her research focuses on precision calculations in lattice QCD, particularly in the context of the muon's anomalous magnetic moment (g-2) and hadronic vacuum polarization. She chairs the Muon g-2 Theory Initiative and is a key contributor to the Particle Data Group and Snowmass process. Education: PhD from UCLA (1989), Diplom in Physics from Freie Universität Berlin (1984). Research Highlights: Lattice QCD applications to Standard Model precision tests, CKM matrix determinations, and quantum simulations for high-energy physics. Her work addresses discrepancies between experimental muon g-2 results and theoretical predictions, with contributions to resolving these via lattice computations and data-driven analyses. Awards include the Simons Fellowship, AAAS Fellowship, and Fermilab Distinguished Scholar appointment.

Greg StittView profile

Professor

• Computer Engineering
• Embedded Systems
• Reconfigurable Computing
• +5 more

Greg Stitt is a Professor in the Department of Electrical and Computer Engineering at the University of Florida, affiliated with the College of Engineering. His research focuses on reconfigurable computing, FPGA acceleration, embedded systems, and compiler design. He has received notable awards including the NSF CAREER Award (2012-2017) and the Undergraduate Teacher of the Year Award (2014). His work emphasizes elastic computing frameworks, intermediate fabrics for FPGA virtualization, and warp processors for dynamic hardware/software partitioning. Education: PhD, Computer Science, University of California-Riverside, 2007 BS, Computer Science, University of California-Riverside, 2000 Research Interests: Reconfigurable computing, FPGAs, GPUs, and their applications in high-performance computing Compiler optimization and synthesis techniques for embedded systems Elastic computing frameworks for heterogeneous systems Approximate computing and energy-efficient architectures Grants & Awards: National Science Foundation (NSF) grants for elastic computing (CNS-0914474) and intermediate fabrics (CNS-1149285) Recognition for contributions to FPGA-based scientific computing tools Teaching: Current courses include Reconfigurable Computing 2 and Digital Design Past course offerings span embedded systems, compiler design, and hardware architecture Labs & Teams: Active research in FPGA acceleration, novel architectures, and security for reconfigurable systems Contributions to the Novo-G scalable reconfigurable supercomputing project

Yang YangView profile

Lecturer

• Second Language Acquisition
• Chinese Language Pedagogy
• Chinese Cultural Communication
• +3 more

Yang Yang is a Lecturer in the Global Languages department at Massachusetts Institute of Technology (MIT). She holds a B.A. in Teaching Chinese as a Second Language from Xi’an International Studies University and an M.A. in Teaching English to Speakers of Other Languages from Adelphi University. Currently, she is pursuing a second M.A. in Teaching Chinese as a Second Language at Middlebury College. Her pedagogical interests focus on second language acquisition, Chinese language pedagogy, and cultural communication. Prior to MIT, she developed a Chinese culture and language program at Quincy Asian Resources, Inc., and served as an online tutor for the Center for Talented Youth at Johns Hopkins University. Her professional experience includes teaching at Middlebury Language Schools and creating curriculum for diverse learner demographics. Yang’s expertise emphasizes culturally responsive teaching methodologies and bridging linguistic and cultural gaps in language education. She contributes to the MIT Global Languages initiative by fostering intercultural competency and language proficiency among students. Educational Background: B.A., Teaching Chinese as a Second Language, Xi’an International Studies University (China) M.A., Teaching English to Speakers of Other Languages, Adelphi University (New York) Pursuing M.A., Teaching Chinese as a Second Language, Middlebury College Her research interests explore effective instructional strategies for heritage learners and integrating technology into language acquisition. While no specific awards are listed, her academic trajectory reflects a commitment to advancing language pedagogy through continuous professional development.

Manfred PauliniView profile

Professor

• Particle Physics
• Cosmology
• High Energy Physics Experiment
• +6 more

Manfred Paulini is a Professor of Physics and the Associate Dean for Research at Carnegie Mellon University's Mellon College of Science. His research spans nuclear and particle physics, focusing on high-energy physics experiments at colliders like the Tevatron and Large Hadron Collider (LHC). He actively explores the intersection of particle physics and cosmology, particularly investigating matter-antimatter asymmetry and dark matter. His work combines traditional high-energy physics with modern machine learning techniques for event classification. Ph.D. and M.S. in Physics from University of Erlangen-Nürnberg Paulini's research focuses on CP violation in B meson systems and dark matter detection via supersymmetric particle production at the LHC. He contributes to the CMS experiment at CERN and previously worked on the CDF experiment at Fermilab. His machine learning work applies convolutional neural networks to collider data analysis for improved event classification accuracy across diverse decay topologies. His recent publications emphasize end-to-end ML classification of LHC data, supersymmetry searches, and precision measurements of CP violation parameters. Research spans 2000-2020 with consistent contributions to fundamental physics questions. Scientific Awards Fellow, American Physical Society Paulini's work involves developing novel detector data analysis frameworks and leading investigations into matter-antimatter asymmetry mechanisms. He supervises graduate student research through Carnegie Mellon's Department of Physics. Current projects include anomaly detection in collider data and improving supersymmetry search sensitivities through advanced ML techniques. His experimental work at CERN and Fermilab combines with computational innovations, maintaining active collaborations across multiple institutions while serving in leadership roles at Carnegie Mellon University.

Bryan SarloView profile

Lecturer

• Artificial Intelligence
• Video Game Development
• Computer Science Education
• +3 more

Bryan Sarlo is a Lecturer in the Department of Computer Science at Western University since Fall 2017. He specializes in teaching foundational courses such as CS1033, CS1027, CS2033, and Python programming for non-CS students in the Western Integrated Science (WISc) program. He authored a digital multimedia textbook tailored for CS1033. Education: BSc in Computer Science, Nipissing University MSc in Computer Science (Thesis: AI in Video Game Development), Western University, supervised by Dr. Mike Katchabaw Research Interests: Focus on AI applications in video games, procedural content generation, and educational technology. His MSc work explored AI-driven society simulation in modern video games, with a focus on agent-based modeling and procedural generation techniques. Publications: Notable works include studies on artificial society generation, particle swarm optimization, and visualization frameworks applied to fuel consumption simulation through serious games. These contributions bridge game development, optimization algorithms, and educational tools. Awards: The 'Teaching Awards' section is listed but no specific awards are mentioned in available texts. Advising & Grants: No formal advisees or grants are listed in the provided materials. His role emphasizes teaching and curriculum development rather than direct graduate supervision. Labs/Teams: No specific lab or team affiliations are detailed in the text.

Matt LeBlancView profile

Assistant Professor

• Particle Physics
• High Energy Physics
• Jet Physics
• +7 more

Matt LeBlanc is an Assistant Professor of Physics (Research) at Brown University, affiliated with the CMS Collaboration since 2024 and previously a core member of the ATLAS Collaboration from 2010–2023. His research focuses on experimental particle physics, particularly the analysis of hadronic objects and final states at the Large Hadron Collider (LHC). He employs advanced data science techniques, including machine learning and optimal transport algorithms, to study jet physics and search for new particles beyond the Standard Model. LeBlanc has contributed to jet reconstruction, calibration, and novel analysis methods in LHC data. Education: Ph.D. in experimental particle physics from the University of Victoria (Canada). Postdoctoral appointments at the University of Arizona, CERN, and the University of Manchester (UK). Research Interests: Jet substructure, hadronic object reconstruction, dark matter searches, QCD studies, radiation-hard detector development (e.g., MALTA sensors), and applications of AI/ML in physics. His work bridges experimental particle physics with computational science, addressing challenges in data processing for the High-Luminosity LHC era. Key Contributions: Leader of physics analyses in the ATLAS Collaboration, coordinator for hadronic object reconstruction/calibration, developer of jet energy scale algorithms, and pioneer in applying optimal transport and topic modeling to particle physics data. His recent work emphasizes efficient data pipelines and simulations for future collider experiments.

• Computational Multiscale Modeling
• Artificial Intelligence
• Process Control
• +5 more

Davood B. Pourkargar is an Assistant Professor in the Tim Taylor Department of Chemical Engineering at Kansas State University (K-State), part of the Carl R. Ice College of Engineering. He is also a graduate faculty member at the Food Science Institute and a faculty researcher at the Johnson Cancer Research Center. His professional experience includes roles at ExxonMobil Research and Engineering, the University of Minnesota, and the University of Delaware. Education: Ph.D. in Chemical Engineering, Pennsylvania State University (2015) M.S. in Chemical Engineering, Sharif University of Technology (2010) B.S. in Chemical Engineering, Sharif University of Technology (2008) Research Interests: Focuses on computational multiscale modeling, artificial intelligence, optimal control, and automation for sustainable energy/chemical production. Key areas include physics-informed machine learning, cyber-physical systems, and smart materials synthesis. His lab integrates process systems engineering with digital twin technology to enhance decision-making in complex systems. Key Research Trends: Recent work emphasizes distributed control architectures, resilient process networks, and applications in renewable energy (e.g., green ammonia, solar cell production). His publications span AI-driven modeling, cybersecurity for manufacturing systems, and data-driven predictive frameworks. Awards: 2024 Carl R. Ice College Outstanding Assistant Professor NSF EPSCoR Fellowship AFOSR Faculty Fellowship Multiple Best Presentation Awards at AIChE/ACC conferences Advising & Grants: Advises over a dozen graduate/undergraduate students. Secured grants including NSF funding for physics-informed machine learning in organ-on-a-chip systems. Active in lab automation and robotic additive manufacturing initiatives. Labs & Teams: Director of the Intelligent Sustainable Process Systems Lab (ISPSL), with computational and experimental facilities in Durland Hall. Collaborates across disciplines including food science, cancer research, and biomedical engineering.