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Randy BartelsView profile

Professor

• Biomedical Imaging
• Optical Engineering
• Nonlinear Microscopy
• +3 more

Randy Bartels is a Professor in the Department of Biomedical Engineering at the University of Wisconsin-Madison. His laboratory specializes in developing advanced biomedical imaging techniques to study complex biological phenomena and translate these methods into applications that enhance fundamental understanding of biology and disease treatments. Education: PhD, University of Michigan (2002) MS, University of Michigan (1999) BS, Oklahoma State University (1997) Research Interests: Bartels focuses on creating novel coherent nonlinear optical imaging modalities, such as spatial frequency modulation imaging (SPIFI), impulsive stimulated Raman scattering (ISRS), and synthetic aperture holography. His work emphasizes label-free imaging, optical scattering robustness, and computational enhancements for resolution and sensitivity. Scientific Awards: 2021 Institut Fresnel Visiting Professor 2013 American Physical Society Fellow 2011 Optical Society of America Fellow 2006 Presidential Early Career Award in Science and Engineering (PECASE) 2005 Sloan Research Fellow (Physics) 2004 NSF CAREER Award Recent Article Trends: Bartels' publications highlight innovations in label-free imaging, nonlinear microscopy, and computational techniques. Key themes include hyperspectral coherent Raman imaging, quantum-classical fusion for super-resolution, and robustness to optical scattering in biological and industrial applications. His work spans fundamental physics, engineering, and biomedical translation. Laboratory: Bartels leads a research group dedicated to advancing imaging technologies, with a focus on overcoming limitations in resolution, depth, and sensitivity through optical and computational methods.

Louise JawerthView profile

Assistant Professor

• Soft Condensed Matter Physics
• Biological Materials
• Protein Condensates
• +3 more

Louise Jawerth is an Assistant Professor at the Leiden Institute of Physics (LION), Biological, Soft and Complex Systems group, within Leiden University's Faculty of Science. Her research bridges soft condensed matter physics and biological material studies. Research Focus: Protein condensates, fiber formation in neurodegenerative diseases, and emergent mesoscale behaviors. Key Techniques: High-resolution imaging, atomic force microscopy, quantitative image processing. Collaborations: Works with theoretical physicists to develop frameworks for material properties. Her work on protein condensates explores their liquid-solid phase transitions and interactions with fibrous growth patterns. She received a Vidi grant in 2021 for her innovative research directions. Scientific Awards: Vidi grant (2021) for understanding protein fiber dynamics

• Food Chemistry
• Mycotoxins
• Metabolomics
• +3 more

Prof. Chiara Dall'Asta is a Full Professor of Food Chemistry at the University of Parma's Department of Food Science. Since 2023, she serves as the Rector's Delegate for Doctoral Programs and has coordinated the PhD Course in Food Science since 2019. She acts as the Chancellor’s liaison to the European Food Safety Authority (EFSA) and contributes to EFSA Working Groups, authoring multiple scientific opinions on mycotoxin risk assessment. Her research spans natural bioactive compounds, mycotoxins, metabolomics, and computational toxicology, with recent expansion into food fraud detection using non-targeted mass spectrometry. Key methodologies include HR-MS metabolomics, ion mobility MS, and computational models to study xenobiotic interactions. She has published over 200 peer-reviewed papers and edited the book Masked Mycotoxins . Recent publications (2022-2025) highlight trends in mycotoxin analysis, food safety risk assessment, plant-based product safety, and computational toxicology. Work frequently integrates advanced analytical technologies (e.g., GC-IMS, LC-HRMS) with chemometrics for food authenticity and contamination studies. Teaching responsibilities include courses in Food Characterization, Risk Assessment of Chemical Compounds, and Xenobiotics in Food across undergraduate and graduate programs in Gastronomic Science, Food Safety, and Pharmaceutical Chemistry.

• Physical Chemistry
• Inorganic Chemistry
• Nanoscience
• +9 more

Masaru K. Kuno is a Professor in the Department of Chemistry and Biochemistry and a Concurrent Professor in the Department of Physics at the University of Notre Dame. He has been a faculty member since 2003, progressing from Assistant to Associate and full Professor by 2016. His interdisciplinary research spans physical chemistry, materials science, and nanotechnology. Education: Ph.D. in Physical Chemistry, Massachusetts Institute of Technology (1998) B.A. in Chemistry, Washington University in St. Louis (1993) His research focuses on the fundamental optical and photophysical properties of low-dimensional semiconductor nanostructures. Using advanced microscopic techniques, his group conducts single nanostructure extinction and absorption studies, particularly in the mid-infrared region, enabling ultrasensitive chemical imaging. A major theme involves understanding halide photosegregation in mixed-halide perovskites for solar energy applications. Another long-term goal is achieving optical refrigeration in semiconductors through photoluminescence up-conversion. His work combines synthesis, measurement, and theory to address material instabilities and develop new spectroscopic methods. The recent publications highlight a strong focus on perovskite materials, optical cooling mechanisms, and advanced spectroscopy. The articles span topics from halide segregation dynamics to anti-Stokes photoluminescence and proton irradiation stability, reflecting a cohesive research program centered on energy materials and nanoscale phenomena. Scientific Awards: Rev. Edmund P. Joyce, C.S.C., Award for Excellence in Undergraduate Teaching (2022) Cottrell Teacher Scholar Fellowhip (2006) NSF CAREER Award (2005) National Research Council Postdoctoral Fellowship (1998) Kuno has mentored numerous graduate students and postdoctoral researchers through his active research group. His work has been supported by major grants from the NSF and other agencies, though specific grant details are not listed. He plays a significant role in training the next generation of scientists through both research supervision and undergraduate teaching excellence. The Kuno Group develops and applies cutting-edge microscopic methods for probing individual nanostructures. They specialize in single-particle infrared absorption spectroscopy and super-resolution infrared imaging. The team synthesizes low-dimensional semiconductor systems including nanowires, nanoplatelets, and quantum dots, enabling fundamental studies of material behavior at the nanoscale.

Johannes HungerView profile

Researcher

• Condensed Phase Dynamics
• Ionic Liquids
• Electrolyte Solutions
• +7 more

Dr. Johannes Hunger is a Group Leader at the Max Planck Institute for Polymer Research (MPI-P) in Mainz, Germany. He obtained his PhD in Chemistry from the University of Regensburg in 2006 under the supervision of Richard Buchner. Following a postdoctoral fellowship at the FOM Institute AMOLF in Amsterdam (2010-2012) funded by the German Science Foundation (DFG), he joined MPI-P as a group leader in 2012. In 2016, he established his distinguished research group with a starting grant from the European Research Council (ERC). His research focuses on dynamics in the condensed phase with particular emphasis on Coulombic and hydrogen-bonding interactions. His group intensively studies room temperature ionic liquids, electrolyte solutions, and solvation phenomena, elucidating fundamental properties of liquids including molecular-level ion transport and molecular association, as well as the relevance of such interactions in biological contexts (osmolyte action, specific ion effects) and technological applications (solvation dynamics, dissolution phenomena). With ERC funding, his group has intensified research on non-covalent interactions within reactive intermediates in organo-catalysis. The 15 most recent publications (2024-2025) demonstrate continued focus on hydrogen bonding dynamics, ion transport mechanisms, and solvation phenomena across various systems including aqueous interfaces, ionic liquids, and biomolecular environments. His work consistently combines experimental approaches with theoretical insights to unravel fundamental molecular processes. Scientific Awards: Postdoctoral Fellowship from German Science Foundation (DFG) ERC Starting Grant Dr. Hunger leads an active research group currently focused on three main areas: Fundamentals of Asymmetric Organo-Catalysis, Interaction of Osmolytes and Ions with Biopolymers, and Dynamics of Electrolytes. His research program is supported by the ERC grant FASTO-CAT and involves collaborations with numerous international research groups. His group maintains strong connections with the University of Regensburg where he completed his doctoral studies, and with research institutions in the Netherlands where he conducted his postdoctoral work. The research group operates state-of-the-art facilities for studying molecular dynamics, including advanced spectroscopic techniques for probing hydrogen bonding networks and ion transport phenomena at ultrafast timescales.

Tim LynarView profile

Senior Lecturer

• Cyber Security
• Computer Science
• Machine Learning
• +6 more

Dr. Tim Lynar serves as a Senior Lecturer at the University of New South Wales Canberra within the School of Systems & Computing. With a strong background in both academic research and industry practice, he has established himself as a leading figure in cyber security and computer science. His work bridges theoretical research with practical applications, focusing on innovative solutions for complex computing challenges across multiple domains including IoT security, machine learning applications in cyber defense, and high-performance distributed systems. Dr. Lynar's research interests span a wide spectrum of cyber security applications, with particular emphasis on the application of machine learning techniques to security challenges and the innovative use of epidemiological approaches to understand and combat cyber threats. His work in modeling & simulation, statistical & data analysis, network & systems administration, and high-performance distributed computing demonstrates his commitment to developing comprehensive security frameworks that address evolving threats in digital environments. The interdisciplinary nature of his research connects computer science with biological modeling approaches, creating novel methodologies for understanding security vulnerabilities. Analysis of Dr. Lynar's recent publications reveals a strong trend toward applying advanced machine learning techniques to cyber security challenges, particularly in IoT environments. His work increasingly integrates epidemiological models with security frameworks, creating a unique approach to threat detection and mitigation. The research spans practical applications in network security, drone systems, and AI security, demonstrating both theoretical depth and real-world applicability. A notable pattern is the consistent application of cutting-edge deep learning architectures like Vision Transformers and Variational Autoencoders to solve specific security problems across diverse domains. IBM Master Inventor (2016) Multiple IBM Innovation Awards (2011-2018) Client Value Outstanding Technical Achievement Awards (2015-2016) High Value Patent Awards (2014-2016) Best Article Award – International Journal of Information Systems & Social Change (2010) Multiple research scholarships from 2007-2010 Dr. Lynar's extensive patent portfolio demonstrates significant industry impact, with numerous issued US patents spanning diverse applications from energy efficient supercomputing to vehicle collision avoidance and drone-based microbial analysis. His research has attracted substantial industry collaboration, particularly with IBM, where he received multiple prestigious awards including the IBM Master Inventor designation. The practical applications of his work are evident in the wide range of patented technologies addressing real-world security and optimization challenges across multiple industries. Dr. Lynar's work spans multiple research domains simultaneously, with active projects in cyber security, drone systems, AI safety, and maritime traffic analysis. His research methodology consistently combines theoretical modeling with practical implementation, often leveraging simulation environments to test and validate approaches before real-world deployment. The interdisciplinary nature of his work creates connections between traditionally separate fields, enabling innovative solutions to complex problems.

• Automated reasoning
• Formal methods
• Autonomous systems
• +5 more

Zhe Hou is a Senior Lecturer at the School of Information and Communication Technology , Griffith University, Australia. His academic journey includes a PhD in automated reasoning for separation logic from the Australian National University (2015) and prior research roles at Nanyang Technological University, Singapore (2015-2017). He joined Griffith University in 2017 and became permanent faculty in late 2019. Research Interests : Formal methods for software verification Automated reasoning with logical frameworks Blockchain technology and security Quantum computing verification Integration of LLMs with rigorous reasoning Sports analytics via model checking Recent Publications demonstrate expertise in neural-symbolic reasoning, blockchain security, quantum SAT solvers, and runtime verification frameworks. His work combines formal logic with machine learning for applications in cybersecurity and AI trustworthiness. Scientific Awards : ACM SIGSOFT Distinguished Paper Award (2025) Supervision Roles : Principal/Associate Supervisor for 6+ doctoral projects in blockchain security, AI verification, and network security. Professional Activities : Editor for Springer-Nature and Formal Aspects of Computing special issues, conference chair for ICFEM, ICECCS, and ISACE symposia.

Paul CisekView profile

Professor

• Cognitive Neuroscience
• Computational Neuroscience
• Motor System
• +5 more

Paul Cisek is a Full Professor in the Department of Neuroscience at the Faculty of Medicine, University of Montreal. His research laboratory focuses on understanding how the brain controls behavior through the integration of decision-making and motor planning processes in the cerebral cortex. His work challenges traditional models that treat perception, decision-making, and action as separate serial processes. Dr. Cisek received his Baccalauréat in Computer Science from Rochester Institute of Technology (1991), followed by a Doctorat in Neurosciences and Physiologie from Boston University (1997). He completed postdoctoral training at both Université de Montréal and Queen's University (1996-2001). His research program centers on developing a theoretical framework describing how the brain interacts with the external world, with specific focus on how decision-making and motor planning processes are integrated in the primate cerebral cortex. Through his 'affordance competition hypothesis,' Cisek proposes that the brain operates through parallel processes where potential actions compete for selection rather than following a serial perception-decision-action model. His lab conducts behavioral, neurophysiological, and computational research, often using primate models to study neural mechanisms of real-time decision-making. The analysis of Dr. Cisek's recent publications reveals a strong focus on evolutionary perspectives in neuroscience, neural mechanisms of decision-making under time pressure, and the integration of biomechanical constraints in action selection. His work bridges cognitive neuroscience, motor control, and computational modeling to develop a more comprehensive understanding of how the brain selects and executes actions in dynamic environments. Dr. Cisek has been continuously funded by major Canadian research agencies including CIHR, NSERC, and FRQS since at least 2002 for his interdisciplinary studies of decision-making and motor planning. His current projects include 'Neural mechanisms of decision-making during natural interactive behavior' (2025-2031) and 'EthoLab: A platform for neurophysiological studies of natural behavior' (2025-2028). As an educator, Dr. Cisek has supervised numerous graduate students to completion of their degrees and currently teaches courses including NSC-3003 (Perception, action et neurocomputation), NSC-3084 (Neurosciences computationnelles), and NSC-6084 (Neurosciences computationnelles). His lab currently includes doctoral students, master's students, and postdoctoral fellows working on various aspects of decision neuroscience. Dr. Cisek is affiliated with several research groups including SNC (Groupe de recherche sur la signalisation neurale et la circuiterie), GRSV (Groupe de recherche en sciences de la vision), and CIRCA (Centre interdisciplinaire de recherche sur le cerveau et l'apprentissage). His laboratory develops sophisticated experimental platforms for studying neural mechanisms of decision-making, including virtual reality environments for neurophysiological studies of natural behavior.

• Food Chemistry
• Lipid Oxidation
• Oxidative Stability
• +7 more

Marie Hennebelle is an Associate Professor in Food Chemistry at Wageningen University & Research, where she conducts cutting-edge research on lipid oxidation, oxidative stability of vegetable oils, and plant-based emulsion systems. Her work integrates advanced analytical techniques such as NMR spectroscopy and mass spectrometry to understand food degradation and preservation mechanisms. Her research interests span Food Chemistry , Lipid Oxidation , Oxidative Stability , Vegetable Oils , NMR Spectroscopy , and Plant-Based Emulsions . She investigates the chemical behavior of lipids in complex food matrices, particularly focusing on oleosomes and triacylglycerol isomerism. The recent articles highlight a strong trend in analytical food chemistry, particularly in the application of NMR and mass spectrometry for lipid profiling. Her work bridges fundamental chemistry with practical food science, aiming to improve shelf life, nutritional quality, and sustainability of plant-based food products. Co-promotor, CULTURE project: Targeted feeding of adipose cultures for sustainable meat alternatives Co-promotor, PhD on milk fat globule membrane functionality Co-promotor, PhD on plant-based alternatives to milk fat globule membranes Co-promotor, PhD on antioxidative effects of plant protein compounds Co-promotor, PhD on omega-3 oils and gut-brain health Dr. Hennebelle collaborates extensively within Wageningen University, particularly with researchers such as J.P. Vincken, J.P.M. van Duynhoven, and K. Hettinga. Her lab is involved in multiple active and funded projects focused on sustainable food systems, lipid carriers, and plant-based alternatives, positioning her at the forefront of innovative food science research.

Serban RaianuView profile

Professor

• Hopf Algebras
• Quantum Groups
• Algebra
• +5 more

Serban Raianu is a Professor in the Department of Mathematics at California State University Dominguez Hills since 2004. His research focuses on Hopf algebras , quantum groups , and their applications to algebraic structures. He has published extensively on topics such as graded rings , crossed coproducts , and co-Frobenius Hopf algebras , often collaborating with leading mathematicians like S. Dăscălescu and C. Năstăsescu. His work in number theory includes recent studies on arithmetic properties of 3-cycles in quadratic maps (2022), extending the abc conjecture and exploring connections to Diophantine equations . He has also contributed to linear algebra with a 2005 paper on Jordan forms and matrix optimization . Key research contributions: Hopf algebras acting on algebras and coalgebras Quantum groups and their representations Duality theories for finite Hopf algebras Dr. Raianu has received notable scientific awards , including the Gheorghe Titeica Prize from the Romanian Academy (2001) and the first prize in the annual scientific contest for students at the University of Bucharest (1981). He has advised undergraduate research projects on partition problems , harmonic number differences , and Green's theorem applications , supported by grants such as the PUMP Undergraduate Research Grant (2016-2017) and NSF-Cal State grant (2003-2006).

• Supramolecular Chemistry
• Catalysis
• Light-Harvesting Systems
• +4 more

P S Mukherjee is a Professor at the Indian Institute of Science (IISc), Bangalore, in the Department of Inorganic and Physical Chemistry. With 28 years of research experience in inorganic chemistry and 22 years teaching at honors/postgraduate levels, he leads a dynamic research group focused on supramolecular architectures. His affiliations include mentoring 24 PhD students and 25 postdoctoral fellows, many now faculty at premier institutions (NISER, IISER, IIT, NIT). Education: Ph.D. (Indian Association for the Cultivation of Science, Kolkata) M.Sc. (Jadavpur University, Kolkata) B.Sc. (Burdwan University) Research Interests: His work explores supramolecular chemistry, catalysis in confined spaces, light-harvesting systems for photocatalysis, and organic materials for isomer/enantiomer separation. Key themes include Pd/Pt-based molecular barrels, cages, and prisms that enable selective catalysis, sensing, and separation. The group emphasizes water-soluble systems for sustainable applications. Publications: His 231+ articles (16,896+ citations, h-index 70) predominantly feature metallosupramolecular architectures for light harvesting, catalysis, and molecular recognition. Recent works highlight stimuli-responsive structural transformations, host-guest chemistry, and photo/oxidation catalysis using self-assembled Pd/Pt systems. Scientific Awards: None explicitly mentioned in the provided text. Advising & Grants: Mentored 24 PhDs and 25 postdocs. Grant details are not specified, but extensive research output implies robust funding. Key industrial/academic collaborations are evident through co-authored publications. Lab & Team: Leads an active group at IISc Bangalore specializing in multicomponent self-assembly. Research areas include molecular prism/barrel synthesis, cage catalysts, and light-harvesting systems. The team utilizes crystallography, spectroscopy, and catalysis testing to advance supramolecular science.

Aleona SwegenView profile

Research Fellow

• Animal fertility
• Reproductive biology
• Equine reproduction
• +5 more

Dr. Aleona Swegen is an ARC DECRA Fellow at the School of Environmental and Life Sciences, University of Newcastle, Australia. A veterinarian and research fellow specializing in animal fertility, she applies cutting-edge reproductive biology techniques to benefit both endangered species and livestock. Her work focuses on developing novel approaches to preserve fertility, particularly through proteomic and molecular analyses of reproductive processes. Bachelor of Veterinary Science, University of Sydney (2010) PhD in Reproductive Science, University of Newcastle, Australia (completed under Laureate Professor John Aitken) Dr. Swegen's research spans multiple interconnected areas of reproductive biology. Her primary focus is on equine reproduction, particularly stallion sperm biology and fertility. She investigates how environmental factors like heat stress impact male fertility and offspring health. Her work also extends to endangered species conservation, notably her contributions to the Rhino Fertility Project aimed at rescuing the Northern White Rhino from extinction. Through proteomic, lipidomic, and molecular approaches, she explores embryo-maternal interactions, sperm metabolism, and novel fertility preservation techniques. Analysis of Dr. Swegen's recent publications reveals a strong emphasis on applying advanced 'omics technologies to reproductive challenges. Her work consistently bridges basic science with practical applications in both livestock breeding and endangered species conservation. A notable trend is her exploration of how environmental stressors, particularly heat stress, affect reproductive outcomes across species. Her research demonstrates increasing integration of multi-omics approaches (proteomics, lipidomics) to identify biomarkers and develop diagnostic tools for fertility assessment. ARC DECRA Fellowship (2022-2024) for research on heat stress effects on male fertility Dr. Swegen actively supervises multiple PhD and Masters students, focusing on topics related to equine reproduction, heat stress effects, and fertility preservation. She has secured significant research funding, including multiple ARC grants and AgriFutures Australia projects totaling over $3 million. Her current projects include 'Early pregnancy in the mare: mechanisms of immune recognition and novel assays for pregnancy testing' and 'Pioneering reproductive biotechnology innovations for equine breeding,' reflecting her dual focus on fundamental research and practical applications. As part of the Priority Research Centre for Reproductive Science at the University of Newcastle, Dr. Swegen collaborates with interdisciplinary teams working on reproductive challenges across species. Her work connects with conservation efforts globally, particularly through collaborations with institutions like the Smithsonian Conservation Biology Institute and the University of Oxford's Rhino Fertility Project.

• Algebraic Combinatorics
• Representation Theory
• Number Theory
• +4 more

Ziqing Xiang is an Associate Professor in the Department of Mathematics and the National Center for Applied Mathematics Shenzhen at Southern University of Science and Technology (SUSTech) . He completed his PhD at the University of Georgia (UGA) under the supervision of Daniel K. Nakano , with a dissertation titled "Representation theory for Iwahori-Hecke algebras and Schur algebras of classical type". Education: PhD in Mathematics, University of Georgia (UGA), 2019 Research Interests: His research lies at the intersection of algebraic combinatorics , representation theory , and number theory . Specific areas include: Combinatorics: association schemes, design theory, graph theory, symbolic dynamics, phylogenetic combinatorics Number Theory: Diophantine equations, finiteness of integral points, variable separated curves Representation Theory: algebraic groups, cohomology, Iwahori-Hecke algebras, quantum groups, Schur algebras Publications Overview: Dr. Xiang has published extensively in leading journals such as Advances in Mathematics , Journal of Algebraic Combinatorics , Discrete Mathematics , and Transformation Groups . His work spans theoretical classifications (e.g., tight designs, spherical designs), algebraic constructions (e.g., q-Schur algebras, quantum wreath products), and interdisciplinary applications (e.g., phylogenetic combinatorics). Contact & Affiliation: Email: xiangzq@sustech.edu.cn Office: College of Science M5005, SUSTech

Jason W. CoymView profile

Associate Professor

• Reversed-Phase High Performance Liquid Chromatography (RP-HPLC)
• Chromatography Fundamentals
• Retention Mechanisms
• +7 more

Dr. Jason W. Coym serves as an Associate Professor in the Department of Chemistry within the College of Arts and Sciences at the University of South Alabama. His office is located in CHEM 235 at 6040 USA South Drive, Mobile, AL 36688, and he can be contacted via email at jwcoym@southalabama.edu or by phone at (251) 460-7431. Dr. Coym maintains an active research program focused on analytical chemistry with significant contributions to separation science. Dr. Coym earned his B.S. in Chemistry from the University of Texas (1998), followed by a Ph.D. in Chemistry from Florida State University (2004), and completed postdoctoral training at the University of Arizona (2004-2005). His educational background established the foundation for his specialization in chromatographic techniques. Dr. Coym's research centers on reversed-phase high performance liquid chromatography (RP-HPLC), investigating fundamental retention mechanisms—whether by adsorption, partitioning, or a combination—and the intermolecular interactions governing solute separation. His laboratory employs van't Hoff analysis and linear solvation energy relationships (LSER) to elucidate thermodynamic properties and interaction types. Key research areas include polar-group-containing stationary phases, novel mobile phase systems, and the development of analytical methods for monitoring invasive insects through trap and lure analysis. This work bridges theoretical chromatography with practical applications across pharmaceutical, environmental, forensic, and biochemical domains. Analysis of Dr. Coym's publication record (2011-2012) reveals a cohesive research trajectory focused on optimizing RP-HPLC through mechanistic studies and innovative applications. His work demonstrates consistent exploration of stationary phase modifications, mobile phase additives like methyl-β-cyclodextrin, and retention modeling, with direct relevance to pharmaceutical analysis, environmental monitoring, and entomological fieldwork. The integration of fundamental chromatography principles with real-world problem-solving characterizes his scholarly output. Dr. Coym's research program is supported by competitive external funding from the National Science Foundation (CHE-0910474) and the United States Department of Agriculture (USDA), supplemented by internal university grants. His laboratory provides extensive research training for students, as evidenced by undergraduate and graduate co-authorship on publications. Collaborative work with colleagues like Dr. Sandra Stenson enhances methodological capabilities through shared instrumentation and interdisciplinary projects. The Coym laboratory maintains dedicated HPLC infrastructure including two specialized systems (isocratic and gradient configurations) and shares access to a fully-automated gradient HPLC system. This equipment supports comprehensive investigations into chromatographic mechanisms and the development of novel analytical protocols for both fundamental research and applied environmental monitoring initiatives.

• Analytical Chemistry
• Phenolic Compounds Analysis
• Chromatography Techniques
• +5 more

Maja M. Natić is a Full Professor in the Department of Analytical Chemistry at the Faculty of Chemistry, University of Belgrade . She has held various academic roles since her professional associate appointment in 1999, including Researcher-intern, Assistant Trainee, Assistant, and eventually achieving the title of Full Professor in 2022. She actively participates in teaching courses like Analytical Chemistry 1 , Separation Methods , and Classical Analytical Chemistry for pharmaceutical chemistry students. Undergraduate: Chemical Sciences (University of Belgrade, 1998) Master's: Chemical Sciences (University of Belgrade, 2003) Doctorate: Chemical Sciences (University of Belgrade, 2008) Her research focuses on analytical chemistry of phenolic compounds , chromatographic methods for food authentication , and environmental pollutant analysis . She has led projects on Serbian wine authentication, soil contamination assessment between Serbia and Slovakia, and bioactive compound extraction from raspberry waste. Her work frequently employs TLC, HPLC, and LC-MS techniques. Key research trends include phenolic fingerprinting of honey, berries, and plant extracts; antioxidant capacity evaluation ; and structure-retention relationships in chromatography. She has published extensively on these topics in journals like Food Chemistry , Journal of Agricultural and Food Chemistry , and Journal of the Serbian Chemical Society .