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Dr. Cristina Rosell is a Professor and Head of the Department of Food and Human Nutritional Sciences at the Faculty of Agricultural and Food Sciences, University of Manitoba. Her research focuses on grain-based food innovation, starch properties, and sustainable bakery processes. Education: PhD and BSc in Pharmacy from Universidad Complutense de Madrid, Spain Dr. Rosell specializes in cereal science, enzymatic food modification, and gluten-free product development. Her current projects include optimizing bakery processes with computational tools, tracing rice supply chains via blockchain, and integrating bioactives into gluten-free foods. Her work bridges food chemistry, nutritional science, and industrial bakery technology. Her recent research trends emphasize gluten-free bread using legume and root starches, starch-plant compound interactions , and sustainable food processing via microwave-assisted extraction, high-pressure treatments, and fermentation. Key subfields include dough rheology, polyphenol bioactivity, and techno-functional ingredient development. Dr. Rosell’s teaching includes graduate seminars in food science (HNSC 7130). She supervises graduate students in breadmaking, starch hydrolysis, and functional food design. Her lab explores grain quality, enzymatic treatments, and bakery product optimization through interdisciplinary approaches combining chemistry, nutrition, and process engineering.

• Design and development of innovative grain-based foods
• Quality assessment of cereals and other grains
• Starch physical properties in foods
• +7 more

Dr. Joseph Dumpler is a Lecturer at the Department of Health Sciences and Technology at ETH Zürich, specializing in Sustainable Food Processing. He holds a PhD in Dairy Science and Technology from the Technical University of Munich, Weihenstephan, with a focus on UHT treatment of concentrated milk. His work emphasizes advancing food processing technologies, particularly in protein refinement, non-thermal methods, and membrane filtration. Educations: PhD in Dairy Science and Technology, Technical University of Munich, Weihenstephan (2017) MSc Food Engineering, Technical University of Munich, Weihenstephan His research interests include Natural Deep Eutectic Solvents (NADES) for plant protein extraction, microwave vacuum drying of dairy products, and membrane filtration optimization for microalgae and dairy systems. He has pioneered methods to refine rapeseed and pea proteins while minimizing antinutrients, and his work on microfiltration of milk products addresses emerging microbial risks. Key contributions span kinetic modeling of heat-induced protein aggregation, sustainable food processing , and non-thermal concentration techniques . His articles reflect a focus on bridging lab-scale innovations with industrial applications. Awards: J.T.M. Wouters Young Scientist Award Julius Maggi Research Award (2018) Best PhD Thesis Award from the Association of Dairy, Food and Biotechnologists (Weihenstephan) Dr. Dumpler collaborates with industry partners to translate research into scalable processes, such as NADES-based protein extraction and microwave drying systems. His current role at ETH Zürich’s Sustainable Food Processing Lab (Prof. Mathys) focuses on plant-based meat analogs and novel protein refining concepts .

• Food Engineering
• Dairy Science and Technology
• Sustainable Food Processing
• +4 more

Shuiwang Ji is a Professor and Truchard Family Endowed Chair in the Department of Computer Science & Engineering at Texas A&M University, where he also holds Presidential Impact Fellow and Chancellor EDGES Fellow titles. He specializes in machine learning, AI for science/engineering, and language models/agents. His research bridges theoretical advances and practical applications in materials science, quantum chemistry, and biomedical engineering. Education: Ph.D. in Computer Science from Arizona State University (2010). Research focuses on equivaraint neural networks for symmetry-aware learning, graph-based molecular modeling, and generative AI for scientific discovery. He develops algorithms that integrate physics principles with deep learning, addressing challenges in materials design, PDE solving, and biomolecular structure prediction. Publications emphasize symmetry-aware architectures (e.g., equivariant Fourier neural operators), efficient interatomic potential computations, and diffusion models for protein/DNA design. Recent work explores trustworthiness in LLMs and causal reasoning in graph neural networks. Awards include NSF CAREER Award (2014), IEEE Fellow (2023), and Texas A&M teaching excellence awards. His work has been recognized in top venues like NeurIPS, ICML, and ICLR. His research group collaborates on projects funded by NSF, NIH, and industry partners, advancing AI applications in healthcare, robotics, and environmental science.

• Machine Learning
• Artificial Intelligence for Science and Engineering
• Language Models and Agents
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Travis B. Thompson, Ph.D. is an Assistant Professor in the Department of Mathematics and Statistics at Texas Tech University, leading the TM4 (Texas Tech Translational and Theoretical Mathematical Modeling and Machine Learning in Medicine) research group. His academic journey includes postdoctoral work at Rice University, Simula Research Laboratory, and the University of Oxford, focusing on mathematics applied to neurodegenerative diseases. Education: Ph.D. in Mathematics from Texas A&M University (2013) Dr. Thompson develops theoretical mathematical models and applies scientific computing and machine learning to study neurological pathologies, particularly Alzheimer’s disease. His work explores complex biological processes on networks, translational healthcare applications, and nutritional security implications. Current research trends integrate neuroimaging data with finite element simulations to model tau progression , amyloid beta dynamics , and glymphatic clearance in age-related diseases. Scientific awards and honors were not explicitly mentioned in the provided materials. Dr. Thompson’s interdisciplinary approach connects computational neuroscience with biomedical engineering , utilizing techniques like diffusion tensor imaging and level set methods to analyze pathological protein spread and brain tissue mechanics . The TM4 research group focuses on network neurodegeneration , personalized medicine , and machine learning diagnostics . Their work spans from microfluidic cancer detection to computational modeling of brain clearance mechanisms , addressing challenges in both neurodegenerative diseases and biomedical engineering through rigorous mathematical frameworks.

• Mathematical Modeling
• Scientific Computing
• Machine Learning in Medicine
• +5 more

Martin Reaney is a Professor and Ministry of Agriculture Strategic Research Program (SRP) Chair in Lipid Quality and Utilization at the University of Saskatchewan's Department of Food and Bioproduct Sciences, within the College of Agriculture and Bioresources. His research focuses on lipid chemistry, sustainable agriculture, and food technology, particularly in biodiesel production, flaxseed bioactives, and novel food products. Key research interests include optimizing lipid quality through refining techniques (e.g., electrostatic field processing, enzymatic degumming), developing functional food ingredients (e.g., aquafaba-based emulsifiers, flaxseed-derived peptides), and enhancing biofuel production. His work bridges agricultural innovation with industrial applications, emphasizing sustainability and nutritional value. Key Projects: Biodiesel optimization, flaxseed lignan extraction, cyanogenic glycoside removal in flaxseed through fermentation, and electrostatic refining of crude oils. Lab/Affiliations: SRP Chair in Lipid Quality & Utilization, affiliated with the University of Saskatchewan's Ministry of Agriculture initiatives. Contact: martin.reaney@usask.ca | 6E02 Agriculture Building. Publications span lipid processing, food safety, and nutraceutical development, with a focus on interdisciplinary approaches to address global food and energy challenges.

• Food Science
• Bioengineering
• Lipid Chemistry
• +3 more

Dr. Jully Tan serves as an Associate Professor (Education Focused) at Monash University Malaysia's School of Engineering, leveraging over fifteen years of expertise in chemical engineering education and curriculum development. She plays pivotal roles in program accreditation through Malaysia's Engineering Accreditation Council and actively contributes to UN Sustainable Development Goals via educational and environmental research. Her academic credentials include: PhD in Chemical Engineering, Universiti Malaya (research: life cycle assessment for microalgae production) Master of Environmental Engineering, Universiti Teknologi Malaysia B.Eng. in Chemical Engineering, Universiti Teknologi Malaysia Dr. Tan's research centers on engineering education innovation —developing VR tools for process safety and gamified learning—and sustainable manufacturing , specializing in life cycle assessment of carbon/water footprints across palm oil, plastic waste, and biogas systems. Her work bridges theoretical knowledge with practical workplace readiness for multidisciplinary engineering students. Analysis of her 15 most recent publications (2022-2024) reveals dual thematic trajectories: educational technology (VR, gamification, digital equity) and circular economy solutions (plastic recycling, biowaste valorization, cellulose nanocrystals). These integrate environmental economics with industrial ecology, emphasizing scalable sustainability metrics for developing economies. Her accolades demonstrate excellence in both domains: IChemE Malaysia Highly Commended Award (2024) for educational innovation Engage & Educate Digital Learning Design Competition winner (2024) Faculty of Engineering Australia-Malaysia Travel Grant (2023) School of Engineering Certificate of Commendation for Early Career Education (2021) Institution of Engineers Malaysia Presidential Award (2022) As Primary Chief Investigator, Dr. Tan secures competitive grants including the 2025 Monash-Warwick project on ethical preparedness in engineering education and the ongoing VR-based process safety initiative (2022-2024). She mentors PhD candidates in teaching tool development and sustainable manufacturing while serving on national accreditation panels. Her leadership extends to organizing the Asia PSE Symposium and Malaysian Chemical Engineers Symposium, fostering industry-academia collaboration through the Institution of Engineers Malaysia.

• Engineering Education
• Sustainable Manufacturing
• Life Cycle Assessment
• +3 more

Thava Vasanthan is a Professor in the Department of Agricultural, Food & Nutritional Sciences at the University of Alberta. He holds a Ph.D. in Food Science from Memorial University of Newfoundland (1994), an M.Sc. in Food Technology from the University of Reading (1988), and a B.Sc. in Agriculture from the University of Peradeniya (1986). His research focuses on grain processing science, particularly value-added utilization of carbohydrates like starch and beta-glucans from oats and barley. Key interests include starch fractionation, low glycemic food formulation, and industrial collaboration for product development. Dr. Vasanthan teaches advanced courses such as Science and Technology of Cereal and Oilseed Processing and Integrative Project in Food Safety and Quality . His consulting work involves assisting food and grain industries with process optimization, by-product utilization, and grant applications. He has authored over 100 peer-reviewed articles, with recent work addressing starch nanoparticles, mycotoxin mitigation in grains, and nutritional interventions for animal health. Notable research contributions include studies on beta-glucan extraction from barley, thermal modification of starches, and the role of dietary fibers in gut microbiota modulation. His lab explores both fundamental carbohydrate chemistry and applied solutions for food industry challenges.

• Grain Processing Science
• Starch Technology
• Dietary Fiber (Beta-Glucan)
• +4 more

Christian Blouin is a Professor and Associate Dean, Academic in the Faculty of Computer Science at Dalhousie University. His interdisciplinary research bridges computer science and molecular biology, with a strong focus on bioinformatics and computational biophysics. Education: Ph.D. in Computer Science, Dalhousie University (2001) B.Sc. in Computer Science, Université Laval (1997) His research interests lie at the intersection of algorithms, phylogenetics, protein evolution, and molecular modeling. He develops computational methods to analyze protein structure evolution, multiple sequence alignments, and phylogenetic tree reconstruction. His work integrates high-performance computing and statistical mechanics to model biophysical properties of proteins, particularly in conformational dynamics and electrostatic interactions. The most recent publications reveal a consistent trend in developing algorithmic solutions for biological problems—especially in text mining for biological events, phylogenetic distance computation, and 3D mapping of evolutionary data. His work emphasizes automation, accuracy, and scalability in bioinformatics pipelines. Scientific Awards and Honors: TULA Fellow Dr. Blouin has secured significant research funding from NSERC, the TULA Foundation, and the CFI. His research group has contributed to tools like GenGIS for geospatial genomics and libcov for bioinformatics programming. He has advised students such as Haibin Liu and Vlado Keselj, who have co-authored key publications in text mining and phylogenetics. His lab integrates algorithm development with biological validation, aiming to bridge computational innovation with real-world biological insights.

• Bioinformatics
• Algorithms
• Phylogenetics
• +5 more

Mikkel Hansen is an active Postdoc researcher at the National Food Institute (DTU Food), Technical University of Denmark, specializing in microbial biotechnology and biorefining for sustainable food systems. His work directly supports UN Sustainable Development Goals related to food security and responsible consumption, with a focus on converting green biomasses into viable protein sources for human nutrition. Education PhD in Food Science and Technology, Technical University of Denmark, 2023 (Thesis: Green Biomasses as a Source of Protein for Human Consumption) Research Interests Hansen’s expertise centers on plant protein extraction from legumes and grasses, particularly alfalfa ( Medicago sativa ). He pioneers biorefining techniques to recover protein concentrates while eliminating off-flavors (e.g., 'taste of hay') through methods like supercritical CO 2 treatment. His work extends to mycelium-based meat alternatives using Pleurotus ostreatus cultivated on pre-fermented byproducts, integrating food engineering, microbial biotechnology, and nutritional science for scalable sustainable food solutions. Publication Trends His 2022-2024 publications reveal a cohesive focus on alfalfa and grass protein valorization. Key themes include scaling screw-press protein recovery, using agricultural residues (sugar beet pulp) for fermentation media, and eliminating off-flavors in concentrates. The work bridges food engineering (pressing, CO 2 treatment), microbial biotechnology (pre-fermentation, mycelium growth), and sustainable food systems , with applications in meat alternatives and nutritional quality improvement. Advising and Grants Hansen has no formal advisees. He was a PhD student in two funded projects: the DTU PhD project "Green biomasses as a source of protein for human consumption" (2019-2023) supervised by Peter R. Jensen and Tim J. Hobley, and the "InnoGrass" project (2019-2021) led by Jensen. These projects addressed sustainable protein extraction from green biomasses, with outputs including his thesis and peer-reviewed articles. Laboratory Affiliation He operates within DTU Food’s Research Group for Microbial Biotechnology and Biorefining, leveraging expertise in pressing, fermentation, and biorefining to optimize protein recovery from agricultural residues while improving digestibility and sensory properties for food applications.

• Plant Protein Production
• Biorefining
• Food Biotechnology
• +5 more

Mark Laser is an Associate Professor of Engineering at the Thayer School of Engineering, Dartmouth College. His research focuses on biomass conversion, sustainable energy systems, and integrated food-energy systems. He holds a BS in Chemical Engineering from Cornell University (1990), an MA in Liberal Studies from Dartmouth (1994), and a PhD in Engineering Sciences from Dartmouth (2001). Research Highlights: Dr. Laser's work emphasizes sustainable bioenergy solutions, including techno-economic analysis of biofuel production and life cycle assessment of integrated systems. He collaborates on projects like the Lynd Research Lab and serves on editorial boards for journals such as Biofuels, Bioproducts & Biorefining and Biotechnology for Biofuels . Awards: Winner of the Excellence in Teaching Award (2015) and recipient of the Link Energy Fellowship (1997–1999). His research has addressed global challenges like energy access in Africa and the environmental impacts of integrated food-energy systems. Courses taught include ENGS 25 (Thermodynamics), ENGS 157 (Chemical Process Design), and ENGS 172.2 (Techno-economic Analysis in Developing Countries).

• Biomass Conversion
• Sustainable Energy
• Process Design
• +3 more

Gregg Beckham is a Senior Research Fellow at the National Renewable Energy Laboratory (NREL) and Affiliate Faculty in the Department of Chemistry at Colorado State University's College of Natural Sciences. He leads an interdisciplinary team working on biomass conversion, plastics upcycling, and sustainable bioproduct development. Education: 2007: PhD in Chemical Engineering, Massachusetts Institute of Technology 2004: MS in Chemical Engineering Practice, Massachusetts Institute of Technology 2002: BS in Chemical Engineering, Oklahoma State University Research Focus: Beckham's work integrates biochemistry, metabolic engineering, and catalysis to address sustainability challenges. Key areas include lignin valorization for renewable chemicals, enzymatic plastic degradation, development of performance-advantaged bioproducts, and bioprocess optimization for circular economy applications. Publication Trends: His recent articles emphasize enzymatic plastic recycling, lignin conversion to aviation fuels, machine learning-guided enzyme discovery, and catalytic biorefinery processes. This reflects a consistent focus on interdisciplinary solutions for plastic waste and biomass valorization. Professional Roles: Group Leader at NREL (2011-2018) Senior Lecturer at MIT (2007) Fellow at Renewable and Sustainable Energy Institute (2016-present)

• Lignin and waste valorization
• Plastics upcycling
• Metabolic engineering
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Patrice Koehl is a full-time Professor in the Department of Computer Science at the University of California, Davis. His research bridges computational biology, structural bioinformatics, and theoretical biophysics, focusing on geometric and physical modeling of biomolecular systems. He has made significant contributions to protein structure prediction, ion channel modeling, and development of computational methods for molecular simulations. Research interests include: Geometric modeling of biological macromolecules Optimal transport theory for shape analysis Statistical mechanics in biomolecular simulations Topological data analysis for cellular morphology Multi-scale modeling of viral structures Recent research trends show strong emphasis on: Protein conformational transitions using action minimization Persistence diagrams for morphological signatures Geometric approaches to assignment problems Computational methods for macromolecular surface analysis Interdisciplinary applications of physics to biological data

• Computational Biology
• Structural Bioinformatics
• Molecular Modeling
• +4 more

Dr. HECTOR RODRIGUEZ MARTINEZ is a Professor at the University of Santiago de Compostela, affiliated with the Department of Chemical Engineering within the Higher Technical School of Engineering. His primary research activities are conducted at the Center for Interdisciplinary Research in Environmental Technologies (CRETUS) and are part of the EQUIFASE research group focused on Sustainable Separation Processes. He holds a PhD from the University of Santiago de Compostela (2006), with a thesis titled Fundamentals of potential applications of ionic liquids in solvent extraction and absorption refrigeration , supervised by Dr. Alberto Arce Arce and Dr. Ana María Soto Campos. His research expertise centers on ionic liquids and their applications in biomass processing, CO₂ capture, and separation technologies. Key areas include lignocellulosic biomass fractionation, cellulose dissolution, and the development of sustainable solvents for environmental and industrial challenges. His work emphasizes green chemistry principles and contributes to renewable energy systems, biorefinery processes, and enhanced oil recovery strategies. He has published extensively on phase behavior of ionic liquid mixtures, solvent design for biopolymer extraction, and process intensification methods. His research demonstrates a strong interdisciplinary approach, bridging chemical engineering with environmental science and materials science.

• Chemical Engineering
• Ionic Liquids
• Biomass Processing
• +3 more

Dr. Emmanouil Papaioannou is a Senior Lecturer in Bio-Process Engineering at Lancaster University's School of Engineering. With over 15 years of research experience, he specializes in biotechnological production and downstream processing of added-value compounds, with expertise spanning biotechnology and food science. His educational background includes: PhD in Chemical Engineering/Biotechnology (carotenoids microbial production), Aristotle University of Thessaloniki, Greece (2009) MSc in Nanosciences and Nanotechnologies (polymeric surfaces modification), Aristotle University of Thessaloniki, Greece (2004) MEng in Chemical Engineering/Food Science (vitamins B complex analysis), Aristotle University of Thessaloniki, Greece (2001) Dr. Papaioannou's research focuses on the integration of microbial production and downstream processing as a unified bio-process. His work spans nanomaterials and membranes technology, utilization of agri-food industry wastes, chemistry of surfaces and their modification, natural products and food chemistry, green and sustainable chemistry, chromatographic materials, molecularly imprinted polymers, and encapsulation of substances in edible matrices. His research has been funded by prestigious organizations including EPSRC, Royal Society, and the European Union. His recent publications demonstrate a strong focus on membrane technologies for sustainable processing of agri-food wastes, natural products extraction, and development of eco-friendly methodologies for compound purification. The research trends show increasing emphasis on circular economy applications, bio-based crop protection, and development of low-cost analytical methods for food quality assessment. Dr. Papaioannou has received several notable awards: Marie Skłodowska-Curie Intra-European Postdoctoral Fellowship from the EU Postdoctoral Fellowship from the Greek National Institute of Scholarships Multiple Marie Curie granted short courses in nano-structured materials and membranes As an educator, Dr. Papaioannou supervises PhD and MSc students in areas including membrane separation processes, biocatalytic transformation, fabrication of bio-renewable membranes, and eco-friendly purification methodologies. He currently serves as convenor for undergraduate modules in Mass Transfer and Catalytic and Bio-Reaction Engineering, and teaches across various chemical engineering courses. His current research projects include EU/UKRI-funded initiatives on green membrane bioseparation for circular economy and membranes as enablers for future biorefineries. Dr. Papaioannou is also an active member of the Chemical Engineering Research Group and participates in various research networks including the Biomass Biorefinery Network (BBNet).

• Bioprocess Engineering
• Membrane Technology
• Nanomaterials
• +7 more

Maria Emilia da Costa Cabral Amaral serves as an Associate Professor in the Department of Chemistry at the University of Beira Interior (UBI), where she directs the Biotechnology course and conducts research through the FibEnTech - Fiber Materials and Environmental Technologies research unit. Her academic profile reflects deep integration with UBI's institutional structure through teaching, research leadership, and departmental responsibilities. Her research spans paper recycling and surface modification , biotechnology applications in pulp and paper industries , bioactive plant compounds , and biofuel production from forest residues using physical-chemical pre-treatment . This multidisciplinary focus bridges industrial processes with sustainable resource utilization, emphasizing valorization of Portuguese biomass. Analysis of her 15 most recent publications reveals consistent themes in lignocellulosic biomass conversion , with particular emphasis on Eucalyptus globulus and alternative fibers like giant reed (Arundo donax) and cardoon (Cynara cardunculus) . Her work demonstrates methodological rigor in pretreatment optimization, enzymatic hydrolysis, and bleaching technologies while maintaining industrial applicability. As Director of the Biotechnology program, she oversees curriculum development and academic supervision. Her FibEnTech research affiliation places her within UBI's strategic framework for sustainable materials innovation, though specific grant details or student advisement records aren't documented in available sources.

• Paper recycling
• Surface modification
• Biotechnology applied to pulp and paper industry
• +3 more