جست‌وجوی استاد و پژوهشگر

• Physical Chemistry
• Material Modeling
• Ab-initio Molecular Dynamics
• +۴ مورد دیگر

Enrico Bodo is a Full Professor of Physical Chemistry at the Department of Chemistry, Sapienza University of Rome. He holds a PhD in Chemical Sciences from Sapienza University (2002) and has held visiting positions at Harvard Smithsonian Center for Astrophysics and University of Paris Sud. His expertise spans material modeling, ab-initio molecular dynamics, ionic liquids, and computational spectroscopy. Education: BSc Chemistry, Sapienza University of Rome (1998) PhD in Chemical Sciences, Sapienza University of Rome (2002) Research Interests: Electrochemical systems and Li-ion batteries Protic ionic liquids and biocompatible solvents Computational studies of molecular dynamics and spectroscopy Grants & Leadership: Secured ~100 million EU computing hours for simulations Elected member of the Board of the Theoretical and Computational Chemistry Division of the Italian Chemical Society Advising: Supervised 10 PhD students, 4 postdocs, and 30 Master's students since 2014. Research groups focus on computational modeling of energy materials and electrolyte design. Labs/Teams: Leads research groups investigating molecular dynamics simulations and computational spectroscopy within the Department of Chemistry's advanced materials division.

Hung Yew Munمشاهده پروفایل

دانشیار

• Heat Transfer
• Fluid Dynamics
• Micro-scale Heat Transfer
• +۴ مورد دیگر

Dr. Hung Yew Mun is an Associate Professor and Interim Head of the Mechanical Engineering program at Monash University Malaysia’s Malaysia School of Engineering. His expertise spans heat transfer, thermodynamics, and fluid dynamics, with a focus on micro-scale phenomena, phase-change heat transfer, and graphene-based materials. He teaches courses including MEC3454/MEC4408 (Thermodynamics and Heat Transfer) and MEC4416 (Momentum, Energy & Mass Transport). Dr. Hung’s research addresses advanced cooling solutions for electronics, energy storage, and sustainable materials. Education: PhD in Mechanical Engineering from University of Multimedia, Malaysia (2010). Research Interests: Micro-scale heat transfer, phase-change mechanisms, graphene nanostructures, and applications in thermal management. His work contributes to UN SDG goals related to affordable and clean energy (SDG7) and industry innovation (SDG9). Recent Projects: Includes studies on MXene-biochar composites for energy storage, graphene-enhanced devices for electronics cooling, and multiscale modeling of postharvest fruit water transport. He has led/co-investigated 12 projects since 2013, emphasizing interdisciplinary collaboration. Publications: Over 100 peer-reviewed articles, with recent focus on graphene-mediated heat transfer enhancement, plasma-activated cooling, and nanofluid applications. His work addresses both fundamental mechanisms and industrial applications. Labs/Teams: Active in thermal engineering and nanomaterials research groups, collaborating with institutions globally on sustainable energy and advanced materials.

Martin Peiferمشاهده پروفایل

استاد

• Computational Cancer Genomics
• Tumor Evolution
• Genome Instability
• +۵ مورد دیگر

Professor Martin Peifer is a computational cancer genomics researcher at the University of Cologne, where he leads the Department of Translational Genomics. He serves as Principal Investigator of the Peifer Lab, which focuses on developing computational methods to analyze cancer genome sequencing data. His work is deeply integrated with the Center for Data and Simulation Science and he is an active member of the International Cancer Genome Consortium and the Pan-Cancer Analysis of Whole Genomes project. Peifer's research interests center on computational approaches to understanding cancer biology, with particular emphasis on tumor evolution and genome instability mechanisms. His lab develops methods to analyze somatic genome alterations including point mutations, copy number changes, and rearrangements. They also create computational tools for integrative genome analyses, tumor evolution reconstruction, and single-cell sequencing data analysis (both RNA and DNA). His interdisciplinary team applies high-performance computing and machine learning to interpret complex cancer sequencing data, aiming to better understand tumorigenesis, clonal evolution, and therapy resistance. Analysis of Peifer's extensive publication record reveals a strong focus on neuroblastoma and lung cancer genomics, with particular attention to tumor evolution patterns and genomic instability mechanisms. His work spans multiple cancer types but maintains consistent themes of computational methodology development and application to understand cancer progression and treatment resistance. The publications demonstrate increasing sophistication in analyzing intra-tumor heterogeneity and clonal dynamics over time. Peifer leads an active research group including postdoctoral fellows (Joel Kaufmann, Dr. Stephanie Pabel, Agnieszka Rumińska) and PhD students (Magdalena Seiffert, Justinas Valiulis). His lab is involved in the Collaborative Research Center 1399 focused on Mechanisms of Drug Sensitivity and Resistance in Small Cell Lung Cancer, indicating significant grant funding and collaborative research efforts. The Peifer Lab operates at the intersection of computational biology and cancer research, maintaining an interdisciplinary approach that combines bioinformatics, machine learning, and high-performance computing to address complex questions in cancer genomics. Their work has significant implications for understanding cancer evolution and developing more effective treatment strategies.

• Thermodynamics
• Computational Chemistry
• Molecular Modeling
• +۳ مورد دیگر

Kai Leonhard is an Adjunct Professor at the Chair of Technical Thermodynamics , RWTH Aachen University. His research focuses on computational chemistry, thermodynamics, and molecular modeling, particularly in solvent design and reactive chemical processes. Department: Chair of Technical Thermodynamics Email: kai.leonhard@ltt.rwth-aachen.de Prof. Leonhard's work integrates quantum chemistry with computer-aided molecular and process design (CAMD/CAPD), emphasizing solvation thermodynamics, reaction kinetics, and machine learning applications. His projects span biofuel combustion, microgel synthesis, and sustainable solvent development. Recent publications highlight advancements in COSMO-RS-based solvent screening, reaction network exploration via ChemTraYzer-TAD, and multi-fidelity modeling for partition coefficients. He employs machine learning to enhance predictive thermodynamic models and optimize chemical processes.

Ian C. Bourgمشاهده پروفایل

دانشیار

• Clay Mineral Surface Geochemistry
• Geologic Carbon Sequestration
• Kinetic Isotope Effects in Aqueous Systems
• +۷ مورد دیگر

Ian C. Bourg is an Associate Professor at Princeton University with dual appointments in the Department of Civil and Environmental Engineering and High Meadows Environmental Institute . He directs undergraduate studies in CEE and leads the Interfacial Water Group , focusing on atomistic-level simulations and macroscopic modeling of environmental systems. His concurrent affiliations include the Princeton Institute for the Science and Technology of Materials and Chemical and Biological Engineering department. Education Ph.D. in Civil and Environmental Engineering, University of California-Berkeley (2004) MSc in Chemical Engineering, INSA Toulouse (1999) B.Eng. in Chemical Engineering, INSA Toulouse (1999) Research Interests span clay mineral surface geochemistry, geologic CO 2 sequestration, kinetic isotope effects, water behavior at interfaces, and coupling geochemistry with geomechanics in porous media. His work integrates molecular simulations with experimental validation to study environmental phenomena like contaminant transport, soil carbon storage, and water dynamics in clays. Publications from 2023-2025 reveal expertise in molecular dynamics of clay-water systems, organic contaminant partitioning, cement hydration, and isotope fractionation. Key themes include Environmental Nanoscience , Geochemical Modeling , and Soft Matter Physics applications to environmental systems. Scientific Recognition NSF CAREER Awardee (2018) Advising includes mentoring 12 current and former PhD/postdoc researchers, with notable alumni at institutions like Cornell, University of Poitiers, and Oak Ridge National Laboratory. His group has produced 20+ undergraduate advisees now in academia and industry. Laboratory develops multiscale simulation tools like HybridBiotInterFoam and HybridPorousInterFoam, with active collaborations in nuclear waste management, soil remediation, and sustainable construction materials.

John Straubمشاهده پروفایل

استاد

• Theoretical Chemistry
• Computational Biophysics
• Protein Dynamics
• +۳ مورد دیگر

John Straub is a Professor of Chemistry at Boston University, affiliated with the Chemistry Department. His research focuses on theoretical and computational studies of protein dynamics, thermodynamics, and phase transitions in molecular systems. He leads efforts to develop advanced algorithms for simulating phase changes in complex systems, including work supported by a National Science Foundation (NSF) grant (CH-1114676) to improve computational methods for phase transition modeling. His group has pioneered generalized simulated tempering and replica exchange algorithms, enabling more accurate simulations of phenomena like vapor-liquid phase changes and peptide aggregation. Dr. Straub also engages in science outreach through collaborations with the Pinhead Institute, supporting K-12 education programs and student internships. His research spans diverse topics such as cholesterol interactions in lipid membranes, amyloid fibril formation mechanisms, and the structural basis of protein aggregation in neurodegenerative diseases. His computational methods have been applied to study membrane proteins, lipid rafts, and the role of environmental factors in protein behavior. Key contributions include modeling amyloid-β aggregation pathways and investigating the impact of membrane composition on protein stability.

John E. Straubمشاهده پروفایل

استاد

• Molecular Dynamics
• Thermodynamics
• Protein Aggregation
• +۷ مورد دیگر

John E. Straub is a Professor in the Department of Chemistry at Boston University (BU), where he leads the Straub Lab. His work focuses on molecular dynamics and thermodynamics of complex biomolecular systems, particularly protein aggregation and amyloid formation. He has authored influential books, including Proteins: Energy, Heat and Signal Flow and Mathematical Methods for Molecular Science , and has held leadership roles such as Chair of the Department of Chemistry at BU (2007-2012) and President of the Telluride Science Research Center (2006-2008). Education: BS in Chemistry (University of Maryland, 1982, advisor: Millard Alexander) MA (Columbia University, 1984) MPhil (Columbia University, 1986) PhD in Chemical Physics (Columbia University, 1987, advisor: Bruce Berne) NIH Postdoctoral Fellow in Chemistry (Harvard University, 1987-1990, advisor: Martin Karplus) His research interests span computational methods for enhanced sampling, reaction dynamics, and the interplay between protein structure and aggregation. He has pioneered studies on amyloid precursor proteins and cholesterol interactions in lipid bilayers, emphasizing the role of monomer structural ensembles in aggregation mechanisms. Articles from his lab highlight advancements in understanding lipid phase separation, amyloid fibril formation, and computational techniques like machine learning-derived variables and replica exchange methods. His work bridges theory and experiment, with collaborations across institutions globally. Scientific Awards: NIH Postdoctoral Fellowship (Harvard University, 1987-1990). Professor Straub has advised numerous students, many of whom hold academic positions at leading institutions, including Jianpeng Ma (Rice University) and Nicolae-Viorel Buchete (University College Dublin). His lab actively explores projects in computational biophysics, with ongoing work on lipid mixtures, sterol-derived Raman tags, and membrane protein interactions.

• Materials Science
• Computational Physics
• Electronic Structure Theory
• +۳ مورد دیگر

Deyu Lu is a Physicist with continuing appointment at the Center for Functional Nanomaterials (CFN), Brookhaven National Laboratory, a position held since 2018, and concurrently serves as an Adjunct Professor in the Department of Materials Science and Engineering at Stony Brook University since 2012. His work bridges theoretical physics and materials engineering through advanced computational methodologies. Dr. Lu's educational background includes: B.S. in Physics, Tsinghua University, China, 1997 M.S. in Physics, Chinese Academy of Sciences, 2000 Ph.D. in Physics, University of Illinois at Urbana-Champaign, 2000 His research centers on developing first-principles computational methods including density functional theory and many-body perturbation theory to investigate materials properties. Current focus areas encompass catalytic behavior of 2D zeolites, computational modeling of X-ray spectroscopy (XPS/XAS/XES) for catalysis and battery systems, and machine learning applications for structure-property relationship analysis. This work positions him at the intersection of computational physics, materials characterization, and data science. Analysis of his 2017-2024 publications reveals a progressive integration of machine learning with spectroscopic techniques, particularly in X-ray absorption analysis. Key contributions include the Lightshow Python package for computational spectroscopy inputs and methods for decoding structure-spectrum relationships using physically constrained latent spaces, demonstrating significant advancement in data-driven materials characterization. Within Brookhaven's CFN, Dr. Lu actively contributes to the Theory/Computation group and has organized multiple workshops at NSLS-II and CFN User Meetings, including the 2023 Workshop on X-ray Absorption Spectroscopy Curation, the 2022 Symposium on Electronic Structure of Nanomaterials honoring Dr. Mark Hybertsen, and 2021-2022 workshops on machine learning for battery development and X-ray scattering.

• Organic Chemistry
• Photoredox Catalysis
• Electrochemistry
• +۶ مورد دیگر

Magnus A. Rueping is a highly distinguished Professor of Chemistry at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia. With an impressive h-index of 107 and over 35,502 citations from 430 documents, he stands as a leading figure in modern synthetic chemistry. His research group maintains active collaborations with 651 co-authors worldwide, reflecting his significant impact on the chemical sciences community. Professor Rueping's research spans multiple cutting-edge areas in organic chemistry and catalysis. His work primarily focuses on developing novel sustainable methodologies including photoredox catalysis, electrochemical synthesis, and mechanochemistry. He has made significant contributions to the fields of $$\text{C-H}$$ functionalization, late-stage modification of complex molecules, and sustainable chemical transformations. His research group explores the intersection of traditional organic synthesis with emerging technologies to create more efficient and environmentally friendly chemical processes, with particular emphasis on nickel catalysis and metal-organic frameworks. Analysis of Professor Rueping's recent publications (2023-2025) reveals a strong trend toward integrating multiple activation modes in single catalytic systems. His work increasingly combines photochemistry, electrochemistry, and mechanochemistry (particularly resonant acoustic mixing) to develop novel catalytic platforms that minimize waste and energy consumption. A notable research direction involves the application of copper nanoclusters and cerium-based metal-organic frameworks as heterogeneous photocatalysts for challenging organic transformations. His group has also pioneered methods for $$\text{C-Ge}$$ and $$\text{C-S}$$ bond formation with exceptional selectivity. Professor Rueping's research has attracted substantial funding and recognition, as evidenced by his high citation metrics and publication record in top-tier journals including Nature Communications, Journal of the American Chemical Society, and Angewandte Chemie. His work bridges fundamental chemical research with practical applications in pharmaceutical development and sustainable manufacturing. As a dedicated mentor, Professor Rueping has supervised numerous graduate students and postdoctoral researchers who contribute to his diverse research portfolio. His laboratory operates state-of-the-art facilities for advanced organic synthesis, photochemistry, electrochemistry, and materials characterization. Current research directions include developing new methodologies for late-stage functionalization of pharmaceutical compounds, creating sustainable approaches to chemical manufacturing, and engineering novel catalytic materials for energy applications. His group's recent expansion into diagnostic technologies (nanobody-based lateral flow assays) demonstrates the versatility and interdisciplinary nature of his research program.

Ralf Zimmerمشاهده پروفایل

استاد

• Bioinformatics
• Systems Biology
• Machine Learning
• +۵ مورد دیگر

Ralf Zimmer is a Full Professor for Practical Informatics and Bioinformatics at Ludwig Maximilian University of Munich (LMU) since 2001, affiliated with the Department of Informatics in the Faculty of Mathematica, Informatics and Statistics. He concurrently serves as Head of Section III and Head of the Research Group Network Regulation and Modeling / Machine Learning at the Leibniz Institute for Food Systems Biology at TUM (Leibniz-LSB@TUM) in Freising, Germany. His academic foundation includes a Diploma with distinction in Computer Science, Applied Mathematics and Operations Research from the University of Bonn (1981-1986), followed by a summa cum laude Doctorate in Computer Science and Applied Mathematics from CAU Kiel in 1990, where he received dual honors: the CAU Dissertation Award and Best Dissertation Award. Zimmer's research pioneers the integration of bioinformatics, systems biology, and machine learning to decode molecular food-consumer interactions. His group develops causal system models for biological networks, validated through in silico simulations and multi-omics perturbation experiments (transcriptomics/proteomics). Core methodologies include network regulation modeling, algorithmic bioinformatics, and database construction linking food compounds to biochemical networks and cellular phenotypes, with translational goals for food and biotech innovation. His 14 most recent publications (2012-2024) reveal dominant trends in multi-omics immunology and cardiovascular research, featuring computational innovations for high-throughput data analysis. Key themes include host-pathogen dynamics (viral infections), inflammatory disease mechanisms (atherosclerosis), and methodological advances in proteomics/transcriptomics, consistently bridging fundamental bioinformatics with clinical applications. Major scientific recognitions include: CAU Dissertation Award and Best Dissertation Award (1990) Director of LMU's Informatics Department (2010-2012) DFG Review Board membership for biomedical foundations (2008-2016) Leadership of the DFG Bioinformatics Munich Center (2001-2008) Academic Senate election at LMU München (2011) Zimmer directs LMU/TUM's joint B.Sc./M.Sc. bioinformatics programs since 2001 as founding architect of the DFG-funded Bioinformatics Munich initiative. His educational leadership spans spokesperson roles for international training groups (IRTG RECESS), collaborative research centers (SFB1123 Atherosclerosis), and elite programs (Data Science, Munich Center for Machine Learning). Grant stewardship includes directing the DFG Bioinformatics Munich Center and shaping national funding policy via the DFG review board. At Leibniz-LSB@TUM, his research group pioneers databases connecting food compounds to cellular phenotypes through molecular networks, collaborating with Munich universities, clinics, and biotech partners to develop high-throughput sequencing/proteomics applications for future food and health innovations.

• Building Physics
• Numerical Modeling
• Heat and Mass Transfer
• +۶ مورد دیگر

Angela Sasic Kalagasidis is a Professor and Department Head at Chalmers University of Technology , leading the Building Physics research group. She serves as a board member of the Moisture Center at Lund University of Technology , contributing to interdisciplinary research in building science. Building Physics Heat and Mass Transfer Energy Efficiency Moisture Safety Indoor VOC Emissions Climate Change Adaptation Her recent publications focus on aerogel-based materials for insulation, urban heat island mitigation , and thermal energy storage systems . Key methodologies include CFD simulations , field testing , and life cycle assessment frameworks . Research trends show emphasis on: Advanced computational tools for hygrothermal analysis Integration of phase change materials in building systems Climate resilience in building envelopes Optimization of ventilation and moisture control

Caroline Fordمشاهده پروفایل

استاد

• Cancer Cell Biology
• Gynaecological Cancer
• Ovarian Cancer
• +۶ مورد دیگر

Professor Caroline Ford is a leading researcher at the University of New South Wales, serving within the School of Women's and Children's Health and the Adult Cancer Program at the Lowy Cancer Research Centre. She leads the Gynaecological Cancer Research Group (GCRG), which focuses on understanding the development, spread, and treatment of gynaecological cancers, with particular emphasis on ovarian and endometrial cancer. Established in 2010 after international postdoctoral fellowships at the University of Toronto and Lund University, her laboratory has maintained consistent competitive research funding for over 13 years. Her research spans Cancer Cell Biology with specific expertise in ovarian cancer, endometrial cancer, endometriosis, metastasis mechanisms, ascites biology, and cell-free DNA analysis. Major projects include developing an early detection test for ovarian cancer and identifying key targets for anti-metastatic therapies. The GCRG works closely with clinicians at the Royal Hospital for Women and conducts studies involving biospecimen collection from women with gynaecological cancers. Professor Ford has pioneered innovative in vitro organotypic models of ovarian and endometrial cancer for pre-clinical drug testing. Her publication record shows consistent focus on ROR1/ROR2 receptors, Wnt signaling pathways, and cell-free DNA applications in cancer diagnostics. Recent work has emphasized liquid biopsy techniques using ascites fluid, 3D cancer models, and computational approaches to predict treatment outcomes. She has published extensively on the molecular mechanisms of gynaecological cancers and their clinical applications. Superstar of STEM (2017) Women's Agenda Award for Female Leader in Science, Medicine & Health (2018) Professor Ford actively supervises PhD students including Kate Gunther and Bonnie Werner, and co-supervises Zoe Phan. She convenes UNSW's General Education course on Personalised Medicine and developed Australia's first MOOC on this subject. She serves as Chair of the ANZGOG Uterine Tumour Type Working Group and Research Chair of Cure Cancer Australia. Her community engagement includes founding the STEMMinist Book Club and leading the 'Ovaries. Talk About Them' campaign to raise awareness about ovarian cancer.

Cristian Gómez Canelaمشاهده پروفایل

استاد

• Environmental Toxicology
• Neurotoxicology
• Analytical Chemistry
• +۵ مورد دیگر

Cristian Gómez Canela is a Full Professor in the Department of Analytical and Applied Chemistry at IQS School of Engineering (IQS - Institut Químic de Sarrià), specializing in environmental analytical chemistry with a focus on neurotoxicology and aquatic toxicology. He leads the Environmental Process Engineering and Simulation Group and maintains an active research profile with significant h-index metrics reflecting substantial scholarly impact. His research interests center on environmental toxicology, particularly neurotoxicology of pharmaceuticals and other contaminants in aquatic systems. Using advanced analytical techniques including liquid chromatography and tandem mass spectrometry, his work examines the effects of neuroactive compounds on model organisms like zebrafish and Daphnia magna . His fingerprint reveals strong expertise in neurotransmitter analysis (66%), Daphnia magna toxicology (64%), serotonin-related research (27%), and neurotoxicity mechanisms (21%). His publication record shows consistent productivity with 92 scientific outputs, demonstrating increasing research activity from 2011 to the present, with particularly strong output in recent years (15 publications in 2024 alone). His work spans environmental chemistry, toxicology, and analytical methodology development, with a clear trajectory toward understanding the neurological impacts of environmental contaminants. Zebra Fish neurotoxicology (100%) Neurotransmitter analysis (66%) Daphnia magna toxicology (64%) Behavioral neuroscience (33%) Serotonin-related research (27%) Liquid chromatography methods (27%) Dr. Gómez Canela actively supervises doctoral research through the FI-2025 Joan Oró program and leads multiple significant research projects including CHEMIPARK (as Principal Investigator) and the GESPA environmental process engineering group. His current projects extend through 2028, indicating ongoing research activity and leadership in his field.

Stuart C. Althorpeمشاهده پروفایل

استاد

• Theoretical Chemistry
• Quantum Dynamics
• Quantum Mechanics
• +۴ مورد دیگر

Professor Stuart C. Althorpe is a Professor of Theoretical Chemistry at the Department of Chemistry, University of Cambridge, where he leads the Althorpe Research Group. His work focuses on quantum dynamics and the application of quantum mechanics to chemical reactions, particularly examining how quantum effects influence atomic and molecular motion in systems ranging from isolated reactions to liquid water and ice. Professor Althorpe's research interests center on quantum dynamics , with specific focus on quantum tunneling , conical intersections , and path-integral methods . His group develops computational techniques that bridge quantum statistics and classical dynamics, creating methods like Matsubara dynamics to model quantum effects in complex systems. Key research areas include visualizing complete wave functions of chemical reactions, calculating tunneling splittings in water clusters, and investigating quantum interference effects at electronic degeneracies. The group employs both pen-and-paper theoretical derivations and high-performance computational algorithms for parallel CPUs and GPUs to tackle these challenging problems. The trends in Professor Althorpe's recent publications (2018-2024) reveal an evolution from foundational quantum dynamics methods toward increasingly sophisticated applications in complex, dissipative environments. His work consistently bridges computational chemistry and quantum physics, with growing emphasis on connections between quantum dynamics, chaos theory, and quantum information concepts. The publications demonstrate methodological innovation in path-integral approaches, particularly in handling quantum effects in condensed-phase systems like water and ice, while maintaining strong connections to experimental observations. Professor Althorpe has mentored over two dozen PhD students and postdoctoral researchers who have secured positions at leading institutions including ETH Zürich, UCL, EPFL, and various industry roles. His research group maintains active international collaborations, most notably with Professor D.J. Wales at Cambridge (on water clusters) and Professor Richard N. Zare at Stanford University, where theoretical calculations interpret detailed experimental measurements of reaction dynamics. The Althorpe Group operates within the Department of Chemistry at the University of Cambridge as part of the Theoretical Research Interest Group. The group's work contributes significantly to understanding quantum mechanical phenomena in chemical processes, with implications for fields ranging from atmospheric chemistry to biochemistry. Professor Althorpe organized the 2019 Faraday Discussion on "Quantum effects in complex systems," demonstrating his leadership in advancing theoretical frameworks for quantum phenomena in chemistry.

• Materials Engineering
• Wood Science
• Biomaterials
• +۴ مورد دیگر

Lauri Rautkari is an Associate Professor in the Department of Bioproducts and Biosystems at Aalto University, Finland. His research focuses on water interactions in biomaterials, particularly wood, with an emphasis on developing advanced analytical methods for water vapor sorption, creating novel low-sorption materials, and investigating hygroscopicity and fungal decay resistance in modified wood systems. Research Highlights: Gas-phase ozone treatment for improved wettability, thermal and chemical wood modification, hyperspectral imaging for moisture prediction, bioinspired coatings for fungal protection, and interlaboratory studies on sorption data quality. Recent Publications: Key contributions to understanding lignin's role in moisture interactions, acetylation reversibility, and the impact of fungal degradation on heat-treated wood. The trend in his publications reflects a strong focus on hygroscopicity, chemical modification techniques (acetylation, melamine-formaldehyde impregnation), advanced imaging methods (hyperspectral, neutron scattering), and the development of sustainable wood-based materials for construction and acoustic applications. Collaborative interlaboratory efforts dominate his work, ensuring standardized methodologies for moisture analysis.