Elena Simone is a Full Professor at the Department of Applied Science and Technology (DISAT) of Politecnico di Torino, Italy, where she serves as Vice Coordinator of the PhD programme in Chemical Engineering. She holds an ERC fellowship and leads the Crystallization & Crystal Engineering Laboratory. Her research integrates crystal engineering, process technology, and materials science for applications in food and pharmaceutical industries. Research Interests: Fundamental crystallization mechanisms and polymorph control Food and pharmaceutical crystal engineering Process analytical technology development Sustainable manufacturing of functional crystalline materials Particle design for emulsion stabilization and delivery systems Her recent publications (2023-2025) demonstrate strong focus on experimental and computational approaches to crystallization control, with applications spanning confectionery fats, pharmaceutical polymorphs, electrocatalysts, and emulsion systems. The work frequently employs advanced characterization techniques including synchrotron X-ray scattering. Awards & Leadership: Excellence Award in Crystallization 2017 (EFCE) Steering Committee Member: EFCE Crystallization Working Party Steering Committee Member: British Association of Crystal Growth Editor: Food and Bioproducts Processing Guest Editor: Crystal Growth & Design She currently supervises five PhD students and leads multiple research projects including the ERC-funded CryForm (2021-2026) on crystallization fundamentals, AdvinPro (2024-2026) on insect processing, and NewOilFactory (2024-2026) on crystalline oleogels.
Dr. Teresia O’Connor is a Professor in the Department of Pediatrics and Nutrition at Baylor College of Medicine, affiliated with the USDA/ARS Children's Nutrition Research Center (CNRC). She is also an Adjunct Member of the Dan L Duncan Comprehensive Cancer Center. Her research focuses on childhood obesity prevention, parenting practices, and technology-driven behavioral measurement, particularly among Hispanic populations. Education: MD from the University of Wisconsin Medical School, MPH from the University of Texas School of Public Health, and fellowship training in Children's Nutrition at CNRC. Dr. O’Connor’s work explores how parents influence children’s obesity-related behaviors through culturally adapted interventions like Papás Saludables, Niños Saludables and innovative tools such as FLASH-TV for passive screen time tracking. Her recent publications emphasize cross-sectional studies, longitudinal analyses, and mixed-methods approaches in parenting practices and health equity. Her research trends highlight technology integration in behavioral assessment, disparities in Hispanic youth health outcomes, and family-centered obesity prevention strategies. Scientific awards include being a Fellow of the American Academy of Pediatrics (FAAP). Scientific Awards: Fellow of the American Academy of Pediatrics (FAAP) Dr. O’Connor mentors postdoctoral fellows, medical trainees, and graduate students, offering opportunities in her lab. She collaborates with institutions like Rice University and receives funding from NIH agencies (NIDDK, NICHD, NHLBI). The CNRC provides state-of-the-art facilities, including metabolic kitchens and observation labs, supporting her team’s work on childhood obesity and parenting dynamics.
Manish Patel is a Research Fellow at CSIRO's Ag & Food Division , where he integrates computer vision, machine learning, and artificial intelligence to develop high-throughput crop disease detection systems. Previously, he worked as a research assistant at the University of Melbourne on nutrient and leaf area index sensing for crop modeling. His research focuses on remote sensing of vegetation , canopy nitrogen concentration modeling , and AI-driven agricultural technologies , combining data mining , deep learning , and crop physiology to create cross-growth-stage and cross-crop-type models. His publications highlight advancements in multispectral/hyperspectral imaging and machine learning applications for crop health monitoring , with recent work on YOLO-v8-based disease phenotyping and waveband contribution analysis for nitrogen estimation. While no formal scientific awards are explicitly mentioned, his contributions span diverse subfields like precision agriculture , vegetation indices , and agricultural data science .
Dare Baldwin is a Full Professor in the Department of Psychology at the University of Oregon , where she directs the Acquiring Minds Lab . Her research focuses on the intersection of language acquisition, cognitive development, event processing , and social-cognitive development . 541-346-4964 (Office) 467 Straub Hall and 210 Chapman Hall (Office Locations) Office Hours: Thursdays 12-1pm on Zoom; Fridays 9-10am in Straub Hall 467 Dr. Baldwin’s work explores how infants and young children acquire knowledge through social interactions , action processing , and language learning . Her lab investigates two major additional domains: the developmental consequences of malnutrition and human behavioral responses to natural hazards such as earthquakes. Current projects examine maternal thiamine supplementation effects on infant cognition and methodologies for online interpersonal understanding studies . Recent publications span: simulating human behavior under earthquake early warnings , infant language processing , micronutrient impacts on neurocognitive development , and event cognition mechanisms . Her lab employs interdisciplinary approaches combining eye-tracking , machine learning , and behavioral experiments . Current Lab Members: Doctoral Students: Netanel Weinstein, Scott Wallner, Elizabeth Loi, Karlena Ochoa Steigerwald, John Rochelle, Anaahat Bala Masters Students: Yasuhiro Tanaka, Leah Child, Jason Garrison, Julian Michels, Emily Neuhaus
Batin Latif AYLAK serves as Associate Professor in the Department of Industrial Engineering at the Faculty of Engineering, Turkish-German University, Turkey. Previously, he held an Assistant Professor position at Hitit University starting in 2015. His academic career spans over a decade of research at the intersection of industrial engineering, logistics, and artificial intelligence. His educational foundation includes: Doctorate in Mechanical Engineering from University of Duisburg-Essen (2010-2015) Master's degree in Mechanical Engineering from University of Duisburg-Essen (2008-2010) Bachelor's degree in Industrial Engineering from Istanbul Kültür University (2001-2006) with full scholarship Dr. AYLAK's research pioneers the integration of artificial intelligence in supply chain optimization, with particular emphasis on sustainable logistics systems. His work bridges theoretical advancements with practical applications in blockchain implementation for supply chain transparency, machine learning-driven energy forecasting, and intelligent warehouse management. He has developed novel frameworks like SustAI-SCM for agentic AI in sustainable supply chains and contributed significantly to understanding digital transformation in Turkey's logistics sector. His publication trajectory (2021-2025) reveals a strategic evolution from foundational logistics research toward cutting-edge AI applications. Early work focused on optimization algorithms and blockchain integration, while recent publications demonstrate leadership in agentic AI systems for sustainability, advanced predictive modeling for renewable energy, and pandemic-responsive supply chain solutions. This progression highlights his adaptation to emerging technological paradigms while maintaining core focus on supply chain resilience. No scientific awards or fellowships were documented in the provided materials. Dr. AYLAK has secured competitive research funding including project BAP TAÜ - 2018BM0028 for digital trend analysis in Turkey's logistics sector. While his publications indicate collaborative research with multiple co-authors across institutions, no formal graduate student advisement relationships were specified in the available documentation.
Eujin Pei is a Full Professor in Additive Manufacturing at Brunel University London, where he serves as Associate Dean (Quality Assurance) for the College of Engineering, Design and Physical Sciences. He is also Director of the BSc Product Design Engineering Programme and leads the Additive Manufacturing & 4D Printing Research Group while serving as Co-Director of the Brunel Centre for Digital Manufacturing. With Chartered Engineer (CEng), Chartered Environmentalist (CEnv), and Chartered Technological Product Designer (CTPD) accreditations, Professor Pei bridges industry expertise with academic research, having previously developed solutions for companies including Motorola, Ericsson, Sennheiser, and Rentokil Initial. Professor Pei's research focuses on shape memory materials, design principles for Additive Manufacturing, and sustainable manufacturing technologies. He is a recognized expert in Design for Additive Manufacturing (DfAM) and 4D Printing, with significant contributions to understanding the causal relationship between Additive Manufacturing processes and shape-changing behaviors. His work extends to developing design guidelines for optimizing part orientation, minimizing overhangs, enhancing layer adhesion, and light weighting through simulations. As Chair of the UK National Standards Committee for Additive Manufacturing (BSI AMT/8) and UK Head of Delegation to ISO/TC 261, he shapes global standards for Additive Manufacturing Data and Design. His publication record reveals a strong focus on standardization efforts, 4D printing applications, and sustainable manufacturing practices. The research trends show increasing emphasis on interdisciplinary approaches, combining materials science, engineering design, and sustainability considerations. Recent work explores human-centered design for 4D printing applications, medical implementations of 4D printing, and advanced computational methods for energy optimization in manufacturing processes. Additive Manufacturing Award for Excellence from ASTM International (2022) Listed in Stanford University's top-cited scientists (2020-2024 editions) International WorldStar Packaging Award (2014) IDSA IDEA Award (2011) Helen Hamlyn Centre for Design 24 hour Inclusive Design Challenge (2011) Motorola Motofwrd (2006) Professor Pei has served as Principal Investigator and Work Package Leader for high-impact research grants, including the EU-funded MULTHEM project exploring Additive Manufacturing to create lightweight, thermally efficient components. His advisory roles include positions with the UK Government Office for Science for the "Foresight Project on Drivers of Technology Needs" on 4D Printing and the "Rapid Tech Assessment on 4D Printing." He is a Full College Member of the EPSRC Peer Review College and serves on the Engineering Council Registration Standards Committee. As Editor-in-Chief of the Progress in Additive Manufacturing Journal, he plays a significant role in shaping the field's scholarly discourse. Professor Pei leads the Additive Manufacturing & 4D Printing Research Group at Brunel, which focuses on developing frameworks for 4D Printing and exploring the influence of infill patterns and densities on printed parts. The group collaborates with international partners and industry stakeholders, including BAE Systems Applied Intelligence through Knowledge Transfer Partnerships. His research extends to partnerships with cultural organizations including the Leicester Arts and Museum Service and Leicester Transport Heritage Trust for applying 3D Printing to digitally reproduce and restore historical artifacts.
Dr. Isabella Nyambayo serves as Senior Lecturer in Nutrition and Dietetics at Wrexham University, where she advances research at the intersection of nutrition science, food security, and sustainable food systems. Her work integrates laboratory analysis with consumer behavior studies to address global challenges in malnutrition and dietary health. Her research program spans critical domains including: Human Nutrition & Disease Prevention : Investigating food-based interventions for malnutrition and degenerative diseases Nutrigenomics : Analyzing correlations between taster receptor genes, food preferences, and disease predisposition Sustainable Food Development : Designing free-from products (salt, fat, sugar, allergens) with optimized texture and sensory profiles Alternative Proteins : Evaluating consumer acceptance of plant-based and insect-derived protein sources Food Security Systems : Addressing sustainability challenges across European and developing contexts Recent publications (2021-2025) reveal intensifying focus on consumer perception of plant-based alternatives, with 70% of her work analyzing sensory attributes and market adoption barriers for meat/dairy substitutes. Her research uniquely bridges technical food science with socio-ecological modeling, particularly evident in studies connecting contraceptive behavior patterns to nutritional outcomes in Nigeria. No scientific awards were documented in available sources. Information regarding student advisement and research grant funding remains unspecified in current records. While institutional affiliation is confirmed, details about dedicated research laboratories or collaborative teams were not disclosed in source materials.
Professor Hans Peter Blankholm at UiT The Arctic University of Norway specializes in Scandinavian Stone Age hunter-fisher-gatherer societies and Northern Fennoscandian Metal Age studies. His work integrates GIS and remote sensing with ecological analysis to examine prehistoric settlements, resource management, and human responses to climate change. Department of Archaeology, History, Religious Studies and Theology Research group: Foodways, lifeways and climate change Key projects: LARM Investigations in Interior Troms, ECOGEN – Ecosystem change, ARCWAYS Recent publications focus on: Paleoenvironmental reconstructions using sedimentary DNA Macro-level predictive modeling of pioneer settlements Heavy metal contamination in Stone Age seafood Storegga tsunami impact analysis Historical GIS applications Lithic resource mapping Contact: hans.peter.blankholm@uit.no
Marup Hossain serves as an Assistant Professor in the Department of Agricultural and Applied Economics within Texas Tech University's College of Agricultural Sciences & Natural Resources. His research examines agricultural and development economics through the lens of smallholder responses to financial access, climate change, and market dynamics using advanced econometric and machine-learning methodologies. Education: Ph.D. in Applied Economics, University of Florida Master's in Economics, University of Dhaka Bachelor's in Economics, University of Dhaka Dr. Hossain's research spans Economic Development, Agricultural Policy, Rural Sustainability, Behavioral Economics, and Climate Change, with emphasis on randomized control trials and ex-post impact assessments to evaluate policy interventions. His work addresses critical questions in agricultural finance, migration patterns, and climate resilience among vulnerable populations. Analysis of his 15 most recent publications (2019-2025) reveals consistent focus on poverty reduction mechanisms, food security innovations, and financial inclusion across Nigeria, Bangladesh, India, and the Philippines. His methodological approach integrates machine learning for poverty prediction with rigorous impact evaluation frameworks, demonstrating particular expertise in geospatial targeting and longitudinal analysis of development interventions. No scientific awards were explicitly documented in the source materials. Dr. Hossain maintains active research partnerships with major international organizations including IFAD, UNCDF, IFPRI, World Bank, and BRAC. He actively mentors graduate students and welcomes research collaborations, typically scheduling meetings on Fridays for prospective students and academic partners seeking guidance in agricultural economics or development research.
Cristian Morosan is a Professor at the University of Houston's College of Global Hospitality Leadership, specializing in information technology adoption and innovation within hospitality. With over 20 years of teaching experience and 30 years in the industry, he focuses on biometric systems, mobile technology, and digital transformation. Education: B.S. in Tourism and Services Management from University Stefan cel Mare (Romania), M.Sc. and Ph.D. in Foodservice and Lodging Management from Iowa State University Research Areas: His work spans technology ethics, digital marketing strategies, and operational innovation. Key projects include AI integration in hotel services, pandemic-related contactless systems, and consumer behavior analysis in digital hospitality environments. Scientific Contributions: Funded by the European Union and Hospitality Financial and Technology Professionals, he has published over 200 peer-reviewed works with 3,800+ citations. Notable awards include multiple research excellence and teaching innovation recognitions.
Prof. Dr. Jan Philipp Schuchardt is a Professor at the Department of Nutritional Physiology and Human Nutrition within the Institute of Food and One Health at Leibniz University Hannover's Faculty of Natural Sciences. His office is located at Am Kleinen Felde 30, 30167 Hannover (Building 2705, Room 238/239). He holds multiple administrative positions including Accreditation Officer for Food Science, BAFÖG Officer for Food Research and Development, Safety Officer for the Institute of Food Science and Human Nutrition, and Department Student Advisor for Food Science. Dr. Schuchardt's research primarily focuses on omega-3 fatty acids , nutritional physiology , and human nutrition . His work investigates the bioavailability of EPA and DHA, the relationship between omega-3 status and metabolic health, cognitive function, and inflammation. He has conducted extensive research on the Omega-3 Index across different populations including German women, elderly subjects, and Palestinian university students. His studies often examine how dietary interventions, particularly with marine oils like Calanus oil, fish oil, and krill oil, affect physiological markers related to glucose homeostasis, inflammation, and cognitive health. His publication record demonstrates a strong focus on nutritional epidemiology, with numerous studies examining population-level patterns of nutrient status. Recent work includes the 'Omega-3 world map: 2024 update' which provides a global perspective on omega-3 status across different countries. His research frequently employs advanced methodologies including machine learning techniques to identify patterns between nutrient intake and health outcomes. Dr. Schuchardt actively supervises doctoral students, bachelor's and master's theses as indicated on his institutional profile. His collaborative work spans international boundaries with research conducted in Germany, Palestine, and through analysis of large datasets like the UK Biobank.
Hervé Cardot is a Professor of Statistics and team leader of the Statistics, Probability, Optimization and Control (SPOC) group at the Institut de Mathématiques de Bourgogne (IMB) , University of Burgundy. His research spans functional data analysis, stochastic algorithms for robust estimation, survey sampling methodology, and applied statistics across diverse fields. Research Interests : Functional data analysis, online principal component analysis, zero-inflated regression, survey sampling, nonparametric estimation Key Applications : Agriculture, climatology, energy consumption, food science, remote sensing, medical imaging Recent Work includes: Developing statistical frameworks for analyzing categorical trajectories using multivariate functional PCA (2025) Advancing bias-robust estimation for functional data in survey sampling (2020) Creating online stochastic algorithms for high-dimensional robust estimation (2017) Applying semi-Markov models to sensory analysis (2018) Teaching at the University of Burgundy includes courses on statistical modeling, big data analysis, and applied statistics for economics and psychology. He supervises PhD students in statistics and co-edits Statistics and Probability Letters .
Prof. Dr. Raif Bayır is a Turkish academic at Karabük University's College of Engineering, Department of Mechatronics Engineering. With a career spanning 2000-2024, he has held continuous full-time faculty positions from Assistant Professor to Professor. His research focuses on Robotics, Hybrid/Electric Vehicles, and Artificial Intelligence. Doctorate: Gazi University (2005) - Electronics & Computer Education Postgraduate: Gazi University (1998) - Electronics & Computer Education Undergraduate: Gazi University (1995) - Electronics & Computer Education His work integrates Artificial Intelligence techniques into Electric Vehicle systems, Robotics, and Agricultural Engineering applications. Recent publications emphasize Deep Learning for Mask Detection, Real-Time Battery Monitoring, and Autonomous Navigation Systems. Scientific awards include: 2017 METU Line-Following Robot 1st Prize 2016 TÜBİTAK Domestic Product Award 2015 TÜBİTAK Electromobil Best Design Prize He has advised over 20 graduate theses on topics spanning Electric Vehicle Components, Beehive Monitoring Systems, and Intelligent Control Applications. His research teams have developed multiple TÜBİTAK-supported projects including Automotive Test Stands and Battery Management Systems.
Didier Michot is a researcher affiliated with the French Higher Education Institution in Agriculture, Food, Horticultural and Landscape Sciences, specifically within the Department of Physical Environment, Landscape Architecture and Territorial Development in Rennes, France. His work focuses on soil science, environmental assessment, and remote sensing applications in agricultural systems, particularly in arid and semi-arid regions. Key research areas include soil salinity, organic carbon dynamics, and sustainable irrigation practices. Mechanisms such as near-infrared spectroscopy, electromagnetic conductivity surveys, and Sentinel satellite data are central to his studies. These methods enable large-scale soil property prediction, spatiotemporal salinity monitoring, and phytodesalinization techniques using halophytic plants like Echinochloa stagnina . Collaborative efforts span institutions in France, Niger, Tunisia, and Algeria, addressing issues like saline water management and agricultural productivity. His recent publications highlight advancements in digital soil mapping, machine-learning applications for SOC prediction, and geophysical tools for salinity assessment. These studies cover diverse contexts from the Algerian Sahara to Western France, reflecting his expertise in integrating field data with remote sensing technologies. Despite extensive contributions, no scientific awards or student advisement details are mentioned in the provided information.
Prof. Dr. Gülin Feryal Ural is a Professor of Industrial Engineering at Baskent University's Faculty of Engineering. With a PhD in Industrial Engineering from Kocaeli University (2013), she has established herself as a prominent researcher in ergonomics, risk assessment, and multi-criteria decision making. Her academic journey includes a Master's in Business Administration (2006) and BSc in Industrial Engineering (2004), both from Kocaeli University. Dr. Ural's educational background is deeply rooted in Industrial Engineering, with a PhD from Kocaeli University in 2013, followed by a Master's degree in Business Administration in 2006 and her undergraduate degree in Industrial Engineering in 2004, all from the same institution. This strong foundation has enabled her to bridge theoretical knowledge with practical applications in her research and teaching. Her research interests span multiple domains within Industrial Engineering, with a strong focus on Ergonomics and Human Factors Management , Risk Assessment and Management , and Multi-Criteria Decision Making methodologies. Dr. Ural has pioneered approaches integrating various decision-making techniques like KEMIRA-M, DEMATEL, and Entropy methods to address complex problems in occupational safety, usability evaluation, and production systems. Her work often bridges theoretical frameworks with practical industrial applications, particularly in healthcare, manufacturing, and educational settings. Analysis of Dr. Ural's extensive publication record reveals a clear trajectory toward increasingly sophisticated risk assessment methodologies and ergonomics applications. She has consistently advanced the integration of multiple decision-making techniques to create holistic assessment frameworks. Her research shows particular strength in adapting these methods to specific industry contexts, from healthcare to manufacturing, and increasingly incorporating machine learning approaches for risk prediction. The interdisciplinary nature of her work is evident in publications spanning engineering, healthcare management, and educational research domains. Dr. Ural has actively contributed to academic service through editorial roles, including membership on the editorial board of the International Journal of Intelligent Computing and Cybernetics and serving as an editor for the International Journal of Lean Six Sigma since 2023. Her teaching portfolio is extensive and reflects her research expertise, covering courses such as Ergonomics and Human Factors Management, Work Study, Lean Production, Occupational Health and Safety, Risk Analysis and Risk Management, and Special Topics in Industrial Engineering. This comprehensive teaching approach ensures her students receive both theoretical foundations and practical applications of Industrial Engineering principles.
