Prof. Dr. Martin Kronbichler is a faculty member at the Faculty of Mathematics , Ruhr University Bochum , leading the Numerics group. His research focuses on higher-order finite element methods, multigrid techniques, and high-performance computing for complex fluid and solid mechanics problems. Key Research Areas: Higher-order finite element methods, iterative solvers, multigrid algorithms, exascale mathematical software, and computational fluid dynamics. Notable Projects: EU-funded dealii-X (exascale digital twins), BMBF PDExa (optimized PDE solvers for exascale), and DFG grants for cut-discontinuous Galerkin methods and geometric multigrid. Publications Trends: Recent works emphasize matrix-free operators for hyperelasticity, diffuse-interface models for additive manufacturing, and multigrid smoothers for higher-order elements. Scientific Awards: Recipient of the Humboldt Research Award for his contributions to numerical methods and HPC. Team: Collaborates with researchers like Dr. Shubham Kumar Goswami, Dr. Richard Schussnig, and Natalia Nebulishvili.
Graham Dobereiner is an Associate Professor and Robert L. Smith Early Career Professor in the Department of Chemistry at Temple University's College of Science and Technology. He received his Ph.D. from Yale University (2011) and completed postdoctoral research at MIT (2012-2014) after earning his B.S. from Brandeis University (2007). His research group develops novel homogeneous transition metal catalysts for synthetic chemistry applications spanning fine chemicals manufacturing, petrochemical processing, and drug discovery. The work integrates organometallic chemistry principles, combining organic molecular diversity with inorganic compound reactivity. Research areas include catalytic isomerization, oxidative synthesis, ligand design, and mechanistic studies of transition metal complexes. Analysis of his recent publications demonstrates strong emphasis on reaction mechanism elucidation, catalyst design for stereoselective transformations (particularly Z-selective isomerizations), and development of novel catalytic systems for sustainable synthesis. His group employs computational and experimental approaches to advance synthetic methodology.
Mohammad Modarres is the Nicole J. Kim Eminent Professor at the University of Maryland within the A.J. Clark School of Engineering. He serves as Director of the Center for Risk and Reliability (CRR) and is a Professor of Nuclear Engineering in the Department of Mechanical Engineering. Dr. Modarres co-founded the world's first degree-granting graduate curriculum in reliability engineering at the University of Maryland and has established himself as an international expert in reliability and risk analysis. Dr. Modarres received his educational credentials from prestigious institutions: B.S. in Mechanical Engineering from Tehran Polytechnic M.S. in Mechanical Engineering from MIT M.S. and Ph.D. in Nuclear Engineering from MIT Dr. Modarres' research spans multiple critical areas in engineering risk and reliability. His primary interests include probabilistic risk assessment, uncertainty analysis, probabilistic physics of failure, and probabilistic fracture mechanics. His work encompasses both experimental investigations and sophisticated probabilistic model development. He has made significant contributions to materials degradation science, prognosis and health management systems, and nuclear safety analysis. His research bridges theoretical developments with practical applications in complex engineering systems, particularly in nuclear power and aerospace sectors. Analysis of Dr. Modarres' recent publications reveals a strong trend toward integrating advanced data science techniques with traditional reliability engineering. His work increasingly incorporates machine learning, deep learning, and entropy-based approaches to solve complex problems in prognostics and health management. There's a clear focus on multi-unit systems, particularly in nuclear power applications, and a growing emphasis on data-driven methodologies for remaining useful life estimation and failure prediction. His research maintains a strong foundation in probabilistic methods while embracing cutting-edge computational approaches. Dr. Modarres has received numerous prestigious honors and awards throughout his distinguished career: Nicole Y. Kim Eminent Professorship in Engineering Minta Martin Professorship in A.J. Clark School of Engineering University of Maryland Distinguished Scholar-Teacher (2019) Tommy Thompson Award for outstanding lifetime contributions to nuclear safety (American Nuclear Society) Fellow, American Nuclear Society Fellow, Institute of Electrical and Electronics Engineers (IEEE) Life Fellow of IEEE 1996 Maryland Inventor of the Year Award (in Information Sciences) FDA Commissioner Special Citation for Contributions to Risk Assessment Methods (2004) 2008 International Research Leadership Award (Society for Reliability Engineering, Quality and Operations Management) Honorary Doctorate from Universidad Da Vinci de Guatemala As the founding director of the Center for Risk and Reliability, Dr. Modarres has built a world-renowned program that has awarded over 500 Ph.D. and master's degrees. His research has been supported by significant grants from government agencies and industry partners, particularly in nuclear safety, aerospace reliability, and critical infrastructure protection. He has mentored numerous students who have gone on to become leaders in reliability engineering across various industries. His center collaborates extensively with the International Atomic Energy Agency (IAEA) and other international organizations on risk assessment methodologies. The Center for Risk and Reliability (CRR), which Dr. Modarres directs, serves as a hub for multidisciplinary research in risk and reliability engineering. The center has recently renovated its facilities to enhance collaboration among researchers from different engineering disciplines. CRR maintains strong partnerships with industry leaders including Amazon Lab126 (as evidenced by their collaboration on device durability research) and has been instrumental in advancing probabilistic risk assessment tools used in nuclear power plant safety analysis. The center hosts regular seminars, workshops, and international conferences, positioning itself at the forefront of risk and reliability research globally.
Marcella Lusardi is an Assistant Professor in the Department of Chemical and Biological Engineering and the Princeton Materials Institute at Princeton University, leading interdisciplinary research at the intersection of materials synthesis, catalysis, and sustainability. Her educational background includes: Ph.D. in Materials Science and Engineering from MIT (2018) B.S. in Chemical Engineering from Columbia University (2012) Dr. Lusardi's research focuses on designing advanced catalytic materials for environmental challenges, with core expertise in surface science, light-matter interactions, and complex materials processing. Her group develops natural and engineered materials for energy and sustainability applications, emphasizing CO 2 capture/reduction, pollution abatement, and photocatalysis through molecular-level catalyst design. The MatCat Lab integrates experimental techniques like NMR spectroscopy with computational guidance to create scalable solutions for closed carbon cycles and greener chemical processes. Analysis of her 15 most recent publications (2019-2025) reveals a dominant focus on zeolite-based catalysis for CO 2 conversion and carbonylation reactions, with growing emphasis on supramolecular assemblies and water-tolerant acid catalysts. Her work consistently bridges fundamental material properties with practical sustainability applications, showing progression toward integrated systems for direct air capture and light-mediated reactions. The MatCat Lab employs a highly interdisciplinary approach centered on defect engineering in silica matrices and molecular recognition for supramolecular networks. Current projects target tailored reaction environments for CO 2 reduction and microplastic oxidation, utilizing advanced synthesis methods and structural elucidation to develop practical catalytic technologies for a sustainable future.
Maarten de Boer is a Professor in the Department of Mechanical Engineering at Carnegie Mellon University (CMU), with a courtesy appointment in Materials Science and Engineering. He joined CMU in 2007 after roles as a process engineer at Hewlett-Packard (1983–1991) and principal member of technical staff at Sandia National Labs (1996–2010). He holds a Ph.D. in Materials Science (University of Minnesota, 1996), an MS in Electrical Engineering (University of Colorado, 1982), and a BS in Electrical Engineering (Cornell University, 1981). His research focuses on nanomechanical behavior of materials, MEMS, and additive manufacturing. Key projects include tantalum-based thermal actuators, high-entropy alloys, and micromachine reliability. His work is funded by the DOE, NSF, NASA, and the Army Research Lab. He has authored over 90 peer-reviewed articles, holds seven US patents, and advises students in the de Boer Group. Research Themes: Micro/Nano Manufacturing, Thin Film Mechanics, Friction & Wear, MEMS Reliability Funding Sources: NSF, DOE, NASA, ARL Courses Taught: Mechanics of Materials, Material Selection, Electronics for Sensing, Thermodynamics Notable collaborations include Gianluca Piazza (NSF LEAP-HI grant), Jack Beuth, and Bryan Webler (high-entropy alloys). Media highlights include breakthroughs in tantalum MEMS and ultra-strong polymer nanofibers. His group operates advanced test facilities for in-situ environmental studies of materials.
Scott Hopkins is a Professor in the Department of Chemistry at the University of Waterloo, specializing in Physical Chemistry. His research integrates machine learning with experimental techniques to study ion mobility, mass spectrometry, and spectroscopic analysis. He directs the Hopkins Laboratory, focusing on computational predictions of chemical behaviors and molecular interactions. His work addresses fundamental questions in gas-phase chemistry, cluster formation, and analytical method development. Research interests span physical chemistry, computational modeling, and analytical instrumentation, with a strong emphasis on developing predictive tools for complex chemical systems. Recent investigations explore ion-solvent dynamics, fragmentation mechanisms, and machine-learning applications for spectral interpretation.
Jennifer C. McIntosh is a Professor and University Distinguished Scholar in the Department of Hydrology and Atmospheric Sciences at the University of Arizona (UA), with a joint appointment in the Department of Geosciences. She is also an Adjunct Professor at the University of Saskatchewan. Her academic roles include teaching advanced hydrogeology courses and advising graduate students. She holds a BA in Geology-Chemistry from Whitman College, MS and PhD in Geology from the University of Michigan, and completed a postdoctoral fellowship at Johns Hopkins University. Her research focuses on the interplay between hydrology, geochemistry, and microbiology in the Earth’s crust, spanning micro-to-macro scales. Key projects include studying subsurface fluid dynamics, microbial methane production, and the impacts of climate and human activities on groundwater systems. She has applied these methods to critical zones, sedimentary basins, and oil/gas reservoirs, with fieldwork in the Colorado Plateau, Paradox Basin, and Western Canada. McIntosh has received numerous awards for research and teaching, including the Blitzer Award for Excellence in Teaching Physics-Related Sciences (2019) and the UA Distinguished Scholar Award (2017). She actively serves on national committees for the US EPA, National Academies, and Nuclear Waste Technical Review Board. Education: BA (Whitman College), MS/PhD (University of Michigan), Postdoc (Johns Hopkins University) Notable Awards: GSA Fellow (2019), CIFAR Earth 4D Program (2019), Morton K. Blaustein Fellowship (2004) Labs/Teams: Jemez River Basin Critical Zone Observatory, Siljan Impact Structure Research Group Future Works: Investigating anthropogenic impacts on deep groundwater systems and astrobiology of subsurface microbes
Dr. Mario P. Wiesenfeldt is an independent research group leader at Ruhr-Universität Bochum and the Max-Planck-Institut für Kohlenforschung, affiliated with the Cluster of Excellence RESOLV. His laboratory focuses on developing synthetic organic methodologies using photoredox catalysis and radical intermediates to address challenges in medicinal chemistry. Education: PhD in Organic Chemistry (WWU Münster, 2015–2019) M.Sc. Chemistry (Ruprecht-Karls-Universität Heidelberg, California Institute of Technology) B.Sc. Chemistry (Ruprecht-Karls-Universität Heidelberg) Research Interests: Dr. Wiesenfeldt's work integrates physical organic chemistry with synthetic methodology, emphasizing solvent effects, radical stability, and photoredox activation. Key areas include: Development of bioisosteres for drug discovery Stereoselective hydrogenation of (hetero)arenes Mechanistic studies of radical intermediates Sustainable catalysis under mild conditions Publication Trends: His recent work demonstrates a strong focus on photoredox-mediated transformations (2023–2024), expanding into medicinal chemistry applications like cubane bioisosteres. Earlier publications (2017–2020) established expertise in enantioselective hydrogenation and fluoroarene chemistry. Awards and Honors: Thieme Chemistry Journals Award (2022) Liebig Scholarship, Fonds der Chemischen Industrie (2021) GDCH Prize for university innovation (2021) Leopoldina Postdoctoral Scholarship (2019) WWU Dissertation Prize (2018) Evonik Prize (2018) Research Group: Leads the Wiesenfeldt Lab at ZEMOS (Centre for Molecular Spectroscopy), supervising four PhD students. The lab utilizes state-of-the-art facilities for organic synthesis and collaborates with RESOLV for solvation science studies.
Dr. Michael J. Katz is a Professor in the Department of Chemistry at Memorial University in St. John's, Newfoundland and Labrador, Canada. He leads an active research group focused on porous materials, particularly metal-organic frameworks (MOFs), with applications in gas storage, chemical separation, and catalysis. His work is well-recognized in the field of materials chemistry, with numerous publications in high-impact journals spanning from 2005 to 2025. Dr. Katz's primary research interests lie in the synthesis, properties, and applications of porous materials. His work specifically focuses on: Metal-Organic Frameworks (MOFs) design and synthesis Gas storage technologies, particularly low-pressure methane storage Chemical separation processes including removal of harmful molecules from air Catalysis using porous materials Adsorption properties of various porous frameworks Environmental applications of porous materials Analysis of Dr. Katz's publication record from 2017-2025 reveals a strong emphasis on zirconium-based MOFs, particularly the UiO-66 family. His research spans fundamental characterization techniques like NMR spectroscopy to practical applications in carbon capture, gas separation, and environmental remediation. A notable trend is the increasing focus on real-world implementation of MOFs, including biochar-based materials for CO 2 capture and frameworks for air pollutant removal such as nitrous acid. His work demonstrates a progression from fundamental materials science toward practical environmental applications. Dr. Katz actively supervises graduate students and postdoctoral researchers in his research group. His laboratory at Memorial University is equipped for the synthesis and characterization of novel porous materials, with particular expertise in metal-organic framework development. His research is supported by various grants that enable the exploration of structure-property relationships in porous materials and their practical applications.
Senior Lecturer Outi Salo-Ahen is affiliated with Åbo Akademi University's Faculty of Natural Sciences and Engineering , Department of Pharmacy. Her research focuses on computational pharmacology, drug design, and pharmaceutical chemistry, particularly targeting chemokine receptors (CCR5/CXCR4) and transient receptor potential channels (TRPA1) for therapeutic applications. Doctor of Pharmacy (2006, University of Kuopio/UEF) MSc in Pharmaceutical Chemistry (2001, UEF) BSc in Pharmacy (1999, UEF) University Pedagogy Modules 1-5 (2012-2015) Her work contributes to UN Sustainable Development Goals through education and pharmaceutical innovation . Recent research trends include: Antimicrobial resistance solutions TRPA1 channel modulation Nanotechnology-enabled drug delivery Multi-target HIV-1 inhibitors 3D printing of biocompatible materials Computational analysis of nucleic acid frameworks She actively supervises doctoral projects, serves on assessment panels, and leads collaborations like Nordic Pharmaceutical Translation and Innovation. Her 60+ publications demonstrate expertise in molecular modeling and drug discovery.
Jun Liu is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the School of Engineering and Applied Sciences, University at Buffalo. His research focuses on advanced energy materials, nano/micro-mechanics, and self-powered systems, with applications in triboelectric energy harvesting and scanning probe microscopy. Education: PhD, Materials Engineering, University of Alberta (2018) MS, Materials Science, Shanghai University (2015) BE, Materials Science and Engineering, Nanchang University (2012) Research Interests: Development of tribovoltaic and triboelectric systems for self-powered electronics Mechanical energy harvesting via dynamic heterojunctions and Schottky contacts 3D-printed hydrogel structures for energy absorption and flexible electronics Nanoscale characterization using atomic force microscopy Design of nanocomposite sensors and catalytic materials Publication Trends: His work emphasizes triboelectricity, nanoscale energy conversion, and sustainable materials. Recent articles explore bionic tactile sensing, tunable hydrogels, and quantum dynamics in sliding interfaces. Awards: SONY Faculty Innovation Award (2021) Nature Springer MINE Young Scientist Award (2020) International Contest of Applications in Nano/Micro Technology Prize (2013) Laboratory: Advanced Energy Materials and Nanomechanics Lab at University at Buffalo.
Dr. Igor V. Pivkin is a Full Professor at the Institute of Computing within the Faculty of Informatics at the Università della Svizzera italiana (USI) in Lugano, Switzerland. His academic journey includes degrees from Novosibirsk State University (B.Sc./M.Sc. Mathematics), Brown University (M.Sc. Computer Science and Ph.D. Applied Mathematics), and postdoctoral research at MIT's Department of Materials Science and Engineering. His research focuses on multiscale/multiphysics modeling , numerical methods , and large-scale simulations of biological and physical systems. Key areas include biophysics, cellular/molecular biomechanics, stochastic modeling, and coarse-grained molecular simulations. He leverages high-performance computing (HPC) and particle-based methods to address complex biological phenomena. His work spans diverse applications, from understanding cellular mechanosensitivity and biofilm engineering to modeling cancer cell behavior and red blood cell dynamics in the spleen. His contributions bridge computational science, biotechnology, and biomedical research. He has published extensively in top-tier journals, with recent work advancing automated biofilm analysis, deep learning for microbial classification, and systems biology approaches to metal bioleaching. His lab collaborates on interdisciplinary projects, emphasizing computational innovation for real-world biological challenges.
Prof. Dr.-Ing. Thomas Zwick is a full professor and director of the Institute of High Frequency Engineering and Electronics (IHE) at the Karlsruhe Institute of Technology (KIT). He holds a Dipl.-Ing. (M.S.E.E.) and Dr.-Ing. (Ph.D.E.E.) from the University of Karlsruhe. His career includes roles at IBM Research (2001–2004), Siemens AG (2004–2007 managing automotive radar teams), and KIT since 2007. He leads research in high-frequency technologies, antennas, radar systems, and wireless communications. Research interests include radio wave propagation, antenna design, automotive radar architectures, and millimeter-wave systems. He has authored/co-authored over 400 papers, 20 patents, and received IEEE Fellow status (2018), honorary doctorate from Budapest University (2022), and membership in the Heidelberg Academy and acatech. His work emphasizes integrating sensing and communication systems, 3D-printed RF components, and high-frequency measurement techniques. Teaching focuses on high-frequency engineering, electronic circuits, and radar systems. He oversees the IHE’s laboratories, including the Microwave Engineering Lab and Student Innovation Lab. Recent work explores sub-THz communication, RIS-aided ISAC systems, and beamforming for reduced EMF exposure in urban scenarios.
Megan L. Matthews is an Assistant Professor in the Department of Chemistry at the University of Pennsylvania, School of Arts & Sciences, where she leads an active research group focused on chemical biology and enzymology. Her lab develops innovative chemical proteomics technologies to uncover novel enzyme cofactors and regulatory post-translational modifications, particularly those involving reactive electrophiles, which cannot be predicted from genomic sequences. B.S. in Chemistry, Miami University (2005) Ph.D. in Chemistry, The Pennsylvania State University (2011) Postdoctoral Fellow, The Scripps Research Institute (2012–2017) Her research centers on the concept of the 'electrophilome'—a largely unexplored half of the reactive proteome. By designing 'reverse-polarity' chemical probes, her group enables the discovery of functionally significant electrophilic modifications in proteins, especially those involved in cancer and Alzheimer’s disease. These discoveries open new avenues for therapeutic intervention through covalent targeting. The recent publications demonstrate a consistent focus on enzyme mechanisms, cofactor discovery, and chemical probe development. Her work spans from fundamental enzymology (e.g., halogenases, ribonucleotide reductases) to applied chemical biology (e.g., hydrazine probes, chemoproteomic profiling). The keywords across her publications highlight emerging themes in metalloenzymes, radical chemistry, and covalent proteome mapping. Her scientific contributions have been recognized through prestigious fellowships, including the Merck Helen Hay Whitney Postdoctoral Fellowship. She has published in top-tier journals such as Nature , Nature Chemical Biology , and Journal of the American Chemical Society . Dr. Matthews advises graduate students and postdoctoral researchers in her lab, fostering a collaborative and inclusive environment. Her lab emphasizes the importance of diverse perspectives in scientific discovery. She has secured research funding to support projects in probe development, target characterization, and disease mechanism studies, particularly in neurodegenerative diseases and cancer. The Matthews Lab is actively engaged in advancing reverse-polarity activity-based protein profiling (RP-ABPP) for in vivo applications and inhibitor screening. The group collaborates with experts in structural biology, spectroscopy, and disease modeling to translate basic discoveries into therapeutic insights.
Professor Kevin Sivula is a Full Professor of Chemical Engineering at École Polytechnique Fédérale de Lausanne (EPFL), where he leads the Laboratory of Molecular Engineering of Optoelectronic Nanomaterials (LIMNO) and serves as Director of the Institute of Chemical Sciences and Engineering (ISIC). He teaches courses on Transport Phenomena, Chemical Engineering Practicals, Product design, and solar energy conversion systems. His research focuses on photoelectrochemical solar energy conversion, particularly developing novel nanomaterials for renewable energy applications. Professor Sivula's work bridges chemical engineering, materials science, and renewable energy technologies with emphasis on solar water splitting and hydrogen production. His research group explores organic semiconductors, transition metal dichalcogenides, perovskite materials, and metal oxide photoelectrodes for solar fuel generation. Professor Sivula's recent publications (2023-2025) demonstrate his leadership in advancing perovskite solar cell technology, developing novel photoelectrochemical systems for hydrogen production, and engineering semiconductor interfaces for improved energy conversion efficiency. His work spans fundamental materials characterization to device engineering, with particular emphasis on stability and scalability of solar fuel production systems. As an academic leader, Professor Sivula has supervised numerous PhD students whose research spans organic semiconductor nanoparticles for solar hydrogen production, perovskite materials engineering, photoelectrochemical CO 2 reduction, and nanomaterials for energy conversion. His research has been supported by various grants focused on advancing sustainable energy technologies.
