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Ramona Crina SuciuView profile

Researcher

• Materials Science
• Nanotechnology
• Environmental Engineering
• +3 more

Ramona Crina Suciu is a Senior Researcher (CS III) at the National Institute for Research and Development in Isotopic and Molecular Technologies , affiliated with the Advanced Materials, Energy and Technologies department. With a PhD in Materials Science and Engineering (2007) and an MSc in Materials Science (2005) from the Technical University of Cluj-Napoca , she specializes in new materials with special properties, photocatalysis, and cultural heritage authentication methods. PhD: Materials Science and Engineering (2007), Technical University of Cluj-Napoca MSc: Materials Science (2005), Technical University of Cluj-Napoca Her research spans Nanotechnology , Environmental Engineering , and Biomedical Applications , focusing on: Photocatalytic materials for pollution degradation Recycling of lead-acid battery components Magnetic nanoparticles for targeted anti-tumor therapy Optical properties of rare earth-doped glasses Projects include STEMDENT (developing periodontal resin composites) and PCCA (cell-nanoparticle interactions). She also serves as a peer-reviewer for international programs.

• Kinesiology
• Sports Science
• Biostatistics
• +3 more

Professor Igor Jelaska works at the Faculty of Kinesiology, University of Split, focusing on statistical methods in kinesiology. He teaches Quantitative Methods, Statistics, and Computer Technology courses at both undergraduate and graduate levels. Academic Rank: Professor (since July 2022) Education: PhD in Kinesiology (University of Split, 2011); MSc in Mathematics (University of Zagreb, 2000) His research intersects kinesiology and statistics, particularly in: Sports performance analysis Anthropometric and motor skill studies Ergonomic and maritime safety Exercise interventions for health Methodological validation in physical education Statistical modeling in sports science Recent publications demonstrate expertise in: HIIT training effects GPS error analysis Youth soccer player development Women's fitness programs Maritime ergonomic practices He contributes to education through course leadership in: Quantitative Methods Statistics and Informatics Computer Technology in Sports Boxing Coach Training Programs

Alper KILIÇView profile

Professor

• Maritime Engineering
• Shipping Emissions
• Environmental Impact Assessment
• +3 more

Dr. Alper KILIÇ is a Professor at Bandırma Onyedi Eylül University 's Maritime Faculty and has held academic roles since 2006, including Assistant Professor (2014-), Associate Professor (2018-), and Professor (2023-). He previously served at Istanbul Technical University's Department of Marine Engineering as a Research Assistant (2006-2012). His primary affiliation is with the Department of Maritime Business Administration , focusing on Marine Machinery Management Engineering and Maritime Safety in his administrative and academic roles.

• Environmental Science
• Atmospheric Pollution Modeling
• Artificial Intelligence
• +3 more

Andreja Stojic is a researcher at Singidunum University , with a PhD in Theoretical Physics from the University of Belgrade. Her career spans environmental science, atmospheric physics, and artificial intelligence applications in pollution modeling. Education: Doctoral studies (2007-2015) and basic studies (1998-2007) at the Faculty of Physics, University of Belgrade. Research interests include: Environmental fate of air pollutants AI-driven modeling of VOCs and PAHs Receptor modeling for source apportionment Health risk assessment from urban pollution Atmospheric dynamics and multifractal analysis Her recent publications focus on explainable AI (XGBoost, SHAP) to model benzene, toluene, and PM2.5 behavior, with applications to urban air quality and health risks. She has no scientific awards mentioned in the text and no students explicitly listed.

Bo WangView profile

Assistant Professor

• Metabolomics
• NMR Spectroscopy
• Environmental Toxicology
• +6 more

Dr. Bo Wang is an Assistant Professor in the Department of Chemistry and Chemical Engineering at Florida Institute of Technology's College of Engineering and Science. His research bridges analytical chemistry, data science, and biological applications with a focus on metabolomics methodologies and their implementation across environmental and human health domains. Dr. Wang's research interests center on computational methods development in metabolomics with applications spanning drug discovery of food compounds, environmental science, and cancer mechanism studies. His work includes instrumentation analysis using NMR and HPLC/MS on natural compound extractions and metabolomic profiling studies examining responses to various environmental exposures. A significant focus is finding links between cancer metabolomic profiling and plant extract compounds to identify synergistic combinations. He also investigates combinatorial effects of environmental toxins using NMR-based metabolomics approaches. His recent publications demonstrate strong trends in integrating metabolomics with microbiome analysis to study gut-brain axis mechanisms, environmental toxin effects on marine organisms, and metabolic responses to dietary interventions. The research increasingly incorporates machine learning approaches for metabolomics data interpretation and emphasizes sex-specific responses in metabolic studies. National Science Foundation (NSF) LEAPS-MPS: $248,613 for Artificial Intelligence Techniques for Automatic NMR Metabolomics Data Processing (2021-2025) Gulf of Mexico Alliance (GOMA): $200,000 for AI-Directed Tool Development for Pathogenic "Flesh-eating" Vibrio Bacteria Prediction and Control (2024-2027) National Institutes of Health (NIH) R01: $85,184 for Microbial therapy improves gut permeability to reduce cognitive decline and Alzheimer's disease (2021-2026) NSF Collaborative Research: $168,690 for Therapeutic and Diagnostic System for Inflammatory Bowel Diseases (2023-2028) Dr. Wang actively mentors multiple PhD students including Julie Pollak (Metabolomics in human health), Moses Mayonu (Metabolomics data processing), Tammy Tran (Water pollutant treatment), and Saeedeh Babaee (Marine animal response to environmental toxins). His research group also includes several undergraduate students working on NMR-based metabolomics studies of milk products and tea extracts. The research is conducted through collaborations with institutions including University of South Florida, Florida State University, and Ohio University.

Peter ÖsterholmView profile

Professor

• Acid Sulfate Soils
• Environmental Geology
• Geochemistry
• +4 more

Professor Peter Österholm at Åbo Akademi University's Faculty of Natural Sciences and Engineering specializes in Environmental Geology with a focus on Acid Sulfate Soils . His work addresses critical environmental challenges through interdisciplinary approaches. 2023-2025 : Active principal researcher in two major projects, including EU BIONEER for post-mining waste management Research Themes : Geochemical remediation, microbial interactions, water quality impacts Recent publications highlight: 2025: Microbial responses to limestone/peat treatments in hypermonosulfidic sediments 2024: Machine learning applications for acid sulfate soil mapping 2023: Innovative macropore targeting to reduce acid-metal release Collaborations include European Regional Development Fund , Kiertokaari , and Finnish Transport Agency . He organized the 2024 GeoDays conference and serves as co-investigator in multiple international projects.

• Dynamic Classification
• Copula Functions
• Probability Distributions
• +4 more

Francesca Condino serves as Associate Professor of Statistics (SECS-S/01) at the University of Calabria's Department of Economics, Statistics and Finance since 2020, following her tenure as Researcher from 2012. She teaches graduate courses including Multivariate Data Analysis and Statistical Methods for Business Strategies within the Statistics for Data Science and Data Science for Business Analytics programs. Her academic qualifications include: Bachelor's degree with honors in Statistical and Actuarial Sciences from University of Calabria (2002) Master's in Economy and Statistics of Territory from G. Tagliacarne Institute, Rome (2003) Ph.D. in Statistics from University 'Federico II' of Naples (2010) Condino's research centers on dynamic classification algorithms, copula-based dependence modeling, and novel probability distributions. She develops statistical frameworks for analyzing income/consumption data, hydrological phenomena, and medical diagnostics, with particular expertise in density-valued symbolic data classification and spectral biomarker analysis. Her methodological innovations bridge theoretical statistics with applications in economic policy and clinical neuroscience. Analysis of her recent publications reveals three dominant research streams: economic inequality studies using Lorenz curves and share-density clustering; medical diagnostics through FTIR spectroscopy and multivariate analysis for multiple sclerosis/epilepsy; and theoretical contributions to unit interval distributions and copula-based modeling. Her work demonstrates consistent interdisciplinary collaboration between statisticians, economists, and medical researchers. No scientific awards were documented in the provided materials. Her research has been supported by CNR research grants (2004-2010), Calabria Region funding (2008), and University of Calabria research assignments (2012). Teaching experience spans 23 years across multiple institutions, complemented by national scientific qualification for Associate Professorship (2017). She contributes to the 'Statistica & Demografia' research group and utilizes the departmental Statistical Informatics Laboratory for computational work.

• Analytical Chemistry
• Organic Chemistry
• Gas Chromatography
• +6 more

Dr. Covaciu Florina Dorina is a Recognised Researcher (R2) at the Institute for Isotopic and Molecular Technologies (ITIM-CJ), part of the Romanian Academy in Cluj-Napoca. She works in the Department of Isotopic and Molecular Technologies within the Research Team for Isotopic, Elemental and Molecular Fingerprinting. Her office is located in Building A, Room A1.13, and she can be reached at (+40)264-584037, extension 131. Her research focuses on applying analytical chemistry techniques to food quality control, environmental monitoring, and contaminant detection. Dr. Covaciu specializes in gas chromatography, isotopic analysis, elemental profiling, and fatty acid characterization. Her work frequently involves Romanian food products and environmental samples, with particular emphasis on authentication of agricultural products and detection of contaminants. Analysis of her recent publications (2020-2025) reveals consistent research in food authentication methods, particularly using isotopic, elemental, and molecular fingerprinting to differentiate between production systems (backyard vs. barn eggs), geographical origins (pork meat), and cultivation methods (wild vs. cultivated berries). Her work increasingly incorporates machine learning and chemometric approaches to analyze complex datasets from food and environmental samples. Dr. Covaciu has developed expertise in detecting pesticide residues in fruits and vegetables, analyzing fatty acid profiles in edible oils and human milk, and characterizing environmental contaminants. Her research demonstrates strong methodological development in analytical chemistry with practical applications for food safety and quality assessment in the Romanian context.

Jun HouView profile

Research Fellow

• Environmental Engineering
• Water Quality Management
• Bioremediation
• +3 more

Jun Hou is a Research Fellow at the College of Environment, Hohai University, Nanjing, China. He obtained his Bachelor's, Master's, and Ph.D. in Environmental Engineering from the same institution in 2002, 2005, and 2010 respectively. Assistant Dean, College of Environment (2015–Present) His research focuses on environmental engineering, with expertise in sediment studies, carbon metabolism, bioremediation techniques, and contaminant removal technologies. His work combines ecological fingerprinting methods like BIOLOG ECO microplate analysis with advanced material science and machine learning applications for water quality management. Recent publications highlight his contributions to zero-valent iron-bacteria synergies for pollutant degradation, graphene oxide composites for contaminant removal, plasmonic nanomaterials for antimicrobial applications, and machine learning models for predicting cyanobacteria blooms. These studies demonstrate his interdisciplinary approach spanning environmental chemistry, nanotechnology, and computational ecology. Scientific Awards National Natural Science Funds for Excellent Young Scholar (2017) Jiangsu Province Distinguished Professor (2018) With 285 publications, 9514 citations, and an h-index of 53 (Scopus, 2023), Jun Hou maintains an active research profile. His collaborations include co-authors like Baoshan Xing, Chenglian Feng, and Guoxiang You.

MEHMET İSHAK YÜCEView profile

Professor

• Hydrology
• Fluid Mechanics
• Drought Modeling
• +4 more

Mehmet İshak Yüce is a Professor in the Department of Hydraulics within the Faculty of Engineering at Gaziantep University. His career spans over 30 years, starting as a Research Assistant in 1993 and achieving professorship in 2021. He holds a PhD in Civil Engineering from the University of Manchester (2005), an MSc in Water Engineering from Istanbul Technical University (1995), and a BSc in Civil Engineering from Middle East Technical University (1992). Research Focus: Dr. Yüce specializes in hydrology, fluid mechanics, and climate impacts on water systems. His work integrates computational modeling, statistical hydrology, and sustainable resource management. Key themes include: Drought prediction using copula models and machine learning Hydrokinetic turbine design for renewable energy Hydraulic transients and pollutant transport Climate-driven hydrological variability in Mediterranean basins Awards & Recognition: Gaziantep University 2015 Second Best Doctoral Thesis Award Academic Leadership: He has supervised 6 doctoral and 32 master's students, focusing on hydrology, energy systems, and hydraulic infrastructure. His grants include projects on hydrokinetic turbines (2012-2022) and drought analysis (2015-2019), funded by national agencies. Administrative Roles: Former Dean of Engineering (2021), Institute Director (2020-2023), and multiple terms as Department Deputy Head.

Rakesh SinghView profile

Professor

• Food Science
• Food Engineering
• Food Safety
• +4 more

Rakesh Singh is a Professor in the Department of Food Science & Technology at the University of Georgia's College of Agricultural & Environmental Sciences . His research focuses on emerging food processing technologies for safety and quality enhancement. Email: rsingh@uga.edu Phone: 706-542-1084 Address: Food Science Building, 100 Cedar St., Athens, GA 30602 Research Interests include value-added food processing using UV/H 2 O 2 for aflatoxin decontamination , high-pressure processing , atmospheric cold plasma , and radio frequency heating for food safety. His work also explores physical, microbiological, and chemical characterization of food products during processing. Academic Contributions include co-authoring the textbook Fundamentals of Food Engineering (4th edition, 2018) and teaching courses like FDST 3910/8910: Food Science Internship and FDST7020E: Integration of Multidisciplinary Topics in Foods .

Oliver KröcherView profile

Adjunct Professor

• Heterogeneous Catalysis
• Environmental Engineering
• Emission Control
• +3 more

Oliver Kröcher is an Adjunct Professor at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Basic Sciences (SB) , specifically in the Institute of Chemical Sciences and Engineering (ISIC) and the SCGC-ENS group. His research focuses on heterogeneous catalysis for environmental and energy applications, including emission control, NOx and N2O abatement, methane oxidation, and CO2 utilization. He also contributes to educational initiatives, such as Catalysis for emission control and energy processes .

Aris DocoslisView profile

Professor

• Biosensors
• Colloid and Surface Science
• Interfacial Engineering
• +6 more

Dr. Aris Docoslis is a Professor in the Department of Chemical Engineering at Queen's University's Faculty of Engineering and Applied Science, where he also serves as Associate Dean (Graduate Studies). He was previously the NSERC Tier II Canada Research Chair in Colloids & Nanoscale Engineering from 2003-2013. His research focuses on Applied Colloid Science and Interfacial Engineering, with applications spanning Health (portable diagnostics), Environment (membrane separations, pollutant detection), and novel materials (graphene-based films and sensors). His expertise includes biosensors, colloid and surface phenomena, electrokinetics and microfluidics, and Raman spectroscopy. Dr. Docoslis' recent publications demonstrate a strong focus on surface-enhanced Raman scattering (SERS) applications, graphene-based materials, electrokinetic particle manipulation, and portable diagnostic devices. His work bridges fundamental colloid science with practical applications in medical diagnostics, environmental monitoring, and novel materials development. NSERC Tier II Canada Research Chair in Colloids & Nanoscale Engineering (2003-2013) Co-inventor of patented technology commercialized by Spectra Plasmonics Inc. As an educator, Dr. Docoslis has trained over 25 Master's students, 13 PhD students, 10 postdoctoral associates, and 35+ undergraduate students. His research group emphasizes equity, diversity, and inclusion in hiring practices. His lab receives funding from NSERC, Queen's University, Canada Foundation for Innovation, Ontario Innovation Trust, Materials and Manufacturing Ontario, and numerous industry partners including DuPont Canada, Spectra Plasmonics, Grafoid Inc., and Ballard Power Systems. The Docoslis Lab develops technologies related to chemical sensors, portable diagnostic devices, graphene-based materials, and electrokinetic particle manipulation, with applications spanning medical diagnostics, environmental monitoring, and advanced materials manufacturing.

• Environmental Health
• Healthy Longevity
• Epidemiology
• +5 more

Xiaoming Shi is an Adjunct Professor at Yale School of Public Health and Director of the National Institute of Environmental Health, China CDC. With an MD from Anhui Medical University and PhD in Epidemiology from China CDC, he leads research on environmental health impacts on aging populations through projects like the China National Human Biomonitoring Study and SCOPA-China Cohort. MD, Anhui Medical University (1999) PhD, China CDC (2005) Director, National Institute of Environmental Health, China CDC (2015-present) His research focuses on environmental chemical exposures (air pollution, PFAS, cadmium), lifestyle interventions for aging populations, and climate change health impacts. Recent studies analyze DNA methylation effects from pollution, dietary influences on chronic diseases, and biomarker responses to environmental stressors. Current research trends show strong emphasis on China-specific environmental health challenges through cohort studies and biomonitoring. Key publications address air pollution's role in frailty progression ( Environmental Science & Technology ), dietary patterns in longevity regions ( Chinese Journal of Epidemiology ), and chemical exposure risks from personal care products ( Journal of Hazardous Materials ). Scientific contributions include establishing China's first National Human Biomonitoring program and leading large-scale studies on environmental risk factors for aging populations. Collaborations with Krystal Pollitt and others at Yale focus on exposure science and health equity.

• Quality Management
• Organizational Excellence
• Supply Chain Management
• +7 more

Paulo Sampaio is an Assistant Professor at the Department of Production and Systems, School of Engineering, University of Minho. As Senior Researcher at ALGORITMI Research Centre's IEM group, he focuses on Quality and Organizational Excellence. He holds a PhD in Industrial Engineering (2008) and has authored 138 publications with an h-index of 26. Born in Braga, Portugal (1978) Graduated in Industrial Engineering (2002) PhD in Industrial Engineering (2008) Visiting Scholar at MIT (2015) His research spans Quality 4.0, Supply Chain Management, Risk Analysis, and Integrated Management Systems, with particular emphasis on Industry 4.0/5.0 transformation and agile organizational models. Articles demonstrate increasing focus on machine learning applications, sustainability taxonomy development, and cross-cultural SME studies. Scientific recognition includes: Feigenbaum Medal (ASQ 2012) Best Paper Awards (2006-2009) International Academy for Quality Academician (2014) Top reviewer recognition (2015) As an advisor, he has successfully mentored 6 PhD candidates and over 100 Master's students while leading major EU-funded projects like INNOVCAR (€12.75M) and iFACTORY (€9.25M). Current leadership roles include Department Head, Doctoral Program Director, and Scientific Council member.