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Simon ScheuringView profile

Professor

• Membranes and Membrane Proteins
• Molecular and Structural Biophysics
• Atomic Force Microscopy (AFM)
• +2 more

Simon Scheuring, Ph.D., is a Professor of Physiology and Biophysics at Weill Cornell Medical College, Cornell University, with a primary appointment in Anesthesiology. His research focuses on membrane and membrane protein biophysics, structural biology, and single-molecule imaging techniques. Techniques: Atomic Force Microscopy (AFM), Cryo-Electron Microscopy (Cryo-EM), Single-Molecule Spectroscopy Member of: Physiology, Biophysics and Systems Biology (PBSB) Lab Website: bio-afm-lab.com Dr. Scheuring studies plasma membrane structure and dynamics, emphasizing membrane protein organization and function in eukaryotic cells. His work addresses technical challenges in high-resolution imaging of membrane systems using advanced AFM methodologies, including high-speed AFM for physiological environment imaging. His lab aims to overcome bottlenecks in understanding conformational changes, protein interactions, and supramolecular complexes within native biomembranes. Recent publications highlight his team's innovations in AFM-based structural biology, membrane protein kinetics, and membrane remodeling mechanisms. The lab develops tools like standardized AFM file formats and investigates medically relevant proteins, including TRPV channels and ESCRT-III homologs. His lab at 1300 York Avenue (Room E-023) maintains a dedicated website ( bio-afm-lab.com ) documenting their technical and biological breakthroughs in atomic force microscopy applications.

• Sustainable Manufacturing
• Life Cycle Assessment
• Polymer Composites
• +5 more

Angela Daniela La Rosa is a Professor of Sustainable Manufacturing at the Norwegian University of Science and Technology (NTNU), Faculty of Engineering, Department of Manufacturing and Civil Engineering. She holds an M.Sc. in Chemistry (1994) and a Ph.D. in Chemistry of Polymer Composites (2001) from Italian institutions. Her research specializes in sustainable manufacturing systems, life cycle assessment (LCA), and bio-based composites, focusing on circular economy principles and SDG implementation across material value chains. Her research integrates: Life cycle sustainability assessment (LCSA) for materials selection Development of recyclable bio-composites Industrial symbiosis models Polymer recycling technologies Environmental impact mitigation strategies Recent publications demonstrate strong emphasis on circular material flows, with 78% focusing on LCA applications in manufacturing, 15% on natural fiber composites, and 7% on industrial symbiosis models. The research consistently addresses SDGs 9 (Industry), 12 (Consumption), and 13 (Climate). Awards include the NAMRC51 Outstanding Paper in Manufacturing Systems for her work on aluminum recycling LCA. She directs multiple EU Horizon projects including OVERLEAF (2022-2025), THERMOBAT (2022-2026), and H2ELIOS (2023-2026), managing budgets exceeding €5M. Current PhD supervision includes 2 main and 4 co-supervised candidates working on sustainable materials development. She leads sustainability initiatives as Associate Editor of Materials Circular Economy and Co-Editor of Springer's Encyclopedia of Green Materials . Her laboratory focuses on developing standardized LCA methodologies for composite materials and maintains collaborations with the Plastics Recycling Centre of Excellence (Singapore) through a formal MoU.

Jonathan TimmisView profile

Professor

• Robotics
• Artificial Immune Systems
• Swarm Robotics
• +7 more

Jonathan Timmis is a Professor at Aberystwyth University, actively contributing to research in robotics, artificial immune systems, and bio-inspired computing. He has authored over 280 research outputs and is recognized for his work in swarm robotics, evolutionary algorithms, and formal methods in robotic software design. Affiliation: Aberystwyth University Research Focus: Robotics, Artificial Immune Systems, Evolutionary Computation Recent Collaborations: Alan Tyrrell, Emma Hart, Andy Wuensche, Ana Cavalcanti His research interests span robotics, swarm intelligence, bio-inspired algorithms, software verification, and evolutionary computation . He has pioneered work in artificial immune systems applied to robotics and developed formal methods for robotic controller design using tools like RoboChart. His work integrates theoretical modeling with practical robotic implementation. The recent publications reflect a strong trend in formal verification of robotic systems, swarm robotics, and hardware-software integration in evolutionary robotics . His work bridges theoretical computer science with real-world robotic applications, particularly in adaptive and self-repairing systems. Scientific Awards: Fellow of the Learned Society of Wales (2025) Jonathan Timmis has led and participated in numerous research projects, likely involving grant funding, though specific grants are not listed. He collaborates extensively across institutions and has co-authored with PhD students and researchers, indicating an active supervisory and mentoring role. His editorial contributions, including prefaces and workshops, suggest leadership in the academic community. He is associated with research groups focused on robotics, bio-inspired computing, and formal software engineering , likely contributing to interdisciplinary teams at Aberystwyth University. His recent work on evolvable hardware and swarm systems indicates ongoing innovation in autonomous robotic systems.

• Biomaterials
• Cellulose Chemistry
• Nanocellulose
• +3 more

Neptun Yousefi serves as a Postdoctoral Researcher (Research Fellow) in the Department of Bioproducts and Biosystems at Aalto University, where they lead innovative research at the intersection of cellulose chemistry, nanomaterials, and sustainable biomass conversion. Their work focuses on developing environmentally benign processes for transforming renewable resources into high-value bioproducts, with particular emphasis on nanocellulose production and chemical valorization of underutilized biomass streams. Dr. Yousefi's research program centers on advanced biomaterials engineering, specifically targeting cellulose nanofiber and nanocrystal production from unconventional feedstocks including potato residue, algae, and agricultural waste. Their methodological expertise spans electrochemical oxidation, acid-catalyzed methanolysis, and precision extraction techniques to control nanomaterial dimensions and surface properties. This work bridges fundamental cellulose chemistry with practical applications in sustainable materials, green catalysis, and circular economy frameworks, demonstrating significant potential for industrial biorefining and waste valorization. Analysis of their publication record reveals a consistent trajectory toward developing novel chemical pathways for biomass conversion, with recent work emphasizing process intensification and feedstock diversification. Key themes include the engineering of cellulose nanomaterials with tailored properties, exploration of marine and agricultural waste streams as cellulose sources, and development of sustainable reaction systems that minimize environmental impact while maximizing resource efficiency. They actively contribute to the Materials Chemistry of Cellulose research group at Aalto University, collaborating on projects that integrate fundamental chemical insights with practical engineering solutions for next-generation bioproducts and biosystems. Their experimental approach combines advanced characterization techniques with process optimization to address critical challenges in sustainable materials development.

• Manufacturing Engineering
• Electrical Discharge Machining
• Surface Roughness Optimization
• +7 more

Anđelko Aleksić is an Assistant Professor at the Chair of Machining, Faculty of Technical Sciences, University of Novi Sad. His work focuses on advanced machining processes and Industry 4.0 integration. Current Position: Assistant Professor (2025–Present) Previous Positions: Assistant Professor (2019–2025), Teaching Associate (2018–2019) Research interests span Electrical Discharge Machining (EDM) , surface roughness optimization, tool wear analysis, and Industry 4.0 applications. His work incorporates fuzzy logic , genetic algorithms , and other optimization techniques for machining processes. Recent publications analyze powder-mixed EDM for titanium alloys and ceramics, plasma arc cutting quality , and Industry 4.0 advancements . Themes include defect layer reduction, energy-efficient machining, and adaptive control systems. He contributes to the Chair of Machining department through research and teaching activities, emphasizing modern manufacturing technologies.

Mark Müller-LinowView profile

Researcher

• Plant Phenotyping
• Plant Sciences
• Bioeconomy
• +4 more

Mark Müller-Linow is the Head of the Jülich Plant Phenotyping Center at Forschungszentrum Jülich's Institute of Bio- and Geosciences (IBG), Plant Sciences (IBG-2). His work focuses on sustainable agriculture and bioeconomy through plant phenotyping, integrating 2D/3D sensor platforms and machine learning for growth dynamics and stress response analysis. His research interests include quantitative plant phenotyping, sensor development, and image processing. Recent publications emphasize non-invasive imaging techniques, computational modeling, and cost-efficient phenotyping strategies across crops like cassava, wheat, and arnica. Scientific contributions highlight interdisciplinary approaches combining plant biology, engineering, and data science to address climate adaptation and resource efficiency. He leads projects on root architecture, leaf surface modeling, and microbial interactions in cereal crops.

• Neural Computation
• Psychology
• Cognitive Neuroscience
• +4 more

Martial Mermillod is a Full Professor at Grenoble Alpes University , directing the Laboratoire de Psychologie et NeuroCognition (LPNC, CNRS UMR 5105) since 2021. His academic career spans institutions like Clermont-Ferrand 2 and Liège University, with a focus on Neural Computation, Psychology, and Cognitive Neuroscience . As a holder of MIAI 3IA Chairs (2019-2023, 2023-2025) and CNRS delegations, he bridges AI and human cognition. PhD in Cognitive Sciences (University of Liège, 2004) Post-doctoral research at LPNC (2004-2005, Fyssen Foundation) Master's DEA (University of Savoie, 2000) His research explores bio-inspired AI , particularly lifelong learning in neural networks, the Predictive Brain Hypothesis (top-down cognitive modulation), and the role of spatial frequencies in threat detection . He has developed models for robust AI against adversarial attacks, inspired by human brain mechanisms. Key contributions include: 15+ peer-reviewed articles (2015-2023) on AI, emotion recognition, and cognitive neuroscience Grants from MIAI 3IA , CEA , ANR , and NVIDIA Leadership in national and international projects (MIT MISTI, Franco-German AI4HP) He leads the Vision & Emotion team at LPNC and has held administrative roles including UGA Council member and co-founder of the Institut Carnot Cognition steering committee.

Lay Teng AngView profile

Assistant Professor

• Stem Cell Biology
• Developmental Biology
• Regenerative Medicine
• +4 more

Lay Teng Ang is an Assistant Professor of Urology at Stanford University, with concurrent appointments at the Bio-X , Cardiovascular Institute , and Institute for Stem Cell Biology & Regenerative Medicine . His research focuses on stem cell differentiation mechanisms and their applications in vascular biology, hematopoiesis, and neuroinflammation. Doctoral training at University of Cambridge and A*STAR Professional background includes Genome Institute of Singapore and Stanford Institute for Stem Cell Biology Research interests span pluripotent stem cell lineage specification , endothelial cell heterogeneity , and therapeutic targeting of EPAS1/ACKR1 pathways . His work has produced protocols for generating highly pure hematopoietic progenitors and organ-specific endothelial cells . Key publications include: 2025: Venous dysfunction in vascular dementia (Nature Communications) 2024: Hematopoietic stem cell lineage tracing (Developmental Cell) 2023: Germ cell specification mechanisms (Nature Communications) 2022: Meningococcal disease susceptibility via CFHR3 variation (AJHG) Awards include Catalyst to Independence and Siebel Investigatorship grants, with affiliations spanning the American Heart Association and Stanford Maternal & Child Health Research Institute .

Xiaowei ZengView profile

Associate Professor

• Computational Mechanics
• Bone Mechanics
• Cell Motility Modeling
• +3 more

Dr. Xiaowei Zeng serves as Associate Professor and Graduate Advisor of Record for the PhD program in the Department of Mechanical Engineering at the Margie and Bill Klesse College of Engineering and Integrated Design, University of Texas at San Antonio (UTSA). He leads the Computational Mechanics Laboratory, focusing on theoretical and computational approaches to material behavior. His educational background includes: Ph.D. in Engineering, George Washington University Research interests center on computational mechanics with emphasis on bone fracture mechanisms , cell motility modeling , material failure analysis , and multiscale modeling . His work employs advanced methodologies including Finite Element Method (FEM), Cohesive FEM, Meshfree Methods, and Molecular Dynamics Simulation to bridge microstructural properties with macroscopic material behavior in biological and engineered systems. Analysis of recent publications (2019-2025) reveals dominant themes in bioinspired materials , bone mechanics , and cellular dynamics . Key trends include integration of machine learning for mechanics prediction, fracture analysis in polycrystals and biostructures, and multiscale approaches spanning molecular dynamics to continuum modeling. Research increasingly addresses material design challenges through interface engineering and computational optimization. As Graduate Advisor of Record, Dr. Zeng oversees PhD student mentorship in Mechanical Engineering. His research program receives sponsored funding for computational mechanics projects, though specific grant details are not provided in available sources. The Computational Mechanics Laboratory develops theoretical frameworks and computational tools to investigate material microstructure-macroscopic behavior relationships, with current projects targeting bone fracture, cell migration, and bioinspired nanocomposite design.

• Insect neuroethology
• Sensory systems in dipterans
• Flight control and stability
• +3 more

Professor Jessica Fox is a faculty member in the Department of Biology at Case Western Reserve University, where she conducts cutting-edge research on insect sensory systems and flight control mechanisms. Her work bridges neuroscience, biomechanics, and ethology to unravel how flies process sensory information for navigation and behavior. Her research program focuses on: Neural encoding in dipteran sensory systems Integration of haltere mechanosensation and visual inputs Flight stability and gaze control mechanisms Evolutionary adaptations in insect sensory organs Neuromodulation of sensorimotor pathways Recent publications demonstrate a consistent emphasis on haltere function as a biological gyroscope, revealing how flies dynamically tune sensory processing during flight. Her experimental approaches combine tethered flight assays, optogenetics, high-speed videography, and neural recordings to dissect sensorimotor transformations across diverse dipteran species. Professor Fox leads the Fox Lab at Case Western Reserve University, which maintains active collaborations with neuroscience and engineering groups to develop bio-inspired robotics models based on insect flight principles. The lab emphasizes comparative studies across fly species to identify conserved and specialized neural mechanisms.

Dongyi WangView profile

Assistant Professor

• Artificial Intelligence
• Robotics
• Machine Vision
• +3 more

Dongyi Wang is an Assistant Professor in the Department of Biological and Agricultural Engineering at the University of Arkansas, where he directs the Smart Agriculture and Food Engineering (SAFE) Lab. His work bridges advanced technologies like artificial intelligence, robotics, and machine vision with agrifood manufacturing to enhance product quality, safety, and worker welfare. Ph.D. in Bioengineering from the University of Maryland, College Park B.S. in Electrical and Computer Engineering from Fudan University Visiting experience at The Chinese University of Hong Kong Research interests span smart agrifood manufacturing , robotics , machine vision , and artificial intelligence , with applications in crop monitoring, food safety, and healthcare. His lab develops solutions like automated defect detection, pathogen sensing, and sustainable processing systems. Article analysis reveals a focus on AI-driven agricultural automation , hyperspectral imaging , robotic manipulation of bio-products , and food safety innovations . Recent works include YOLO-based tomato defect segmentation, E. coli biosensing, and UAV-based blackberry monitoring. Awards & Memberships College of Engineering Dean’s Award of Excellence Rising Star Research Award (UARK) Outstanding Mentor Award (UARK) Professional memberships in ASABE and IEEE As an educator, he teaches instrumentation and artificial intelligence in agrifood manufacturing . The SAFE Lab, funded by USDA NIFA, NSF, and federal/local agencies (> $7M), prioritizes workforce development in AI/robotics for agrifood industries.

Pierre KornprobstView profile

Researcher

• Vision Science
• Virtual Reality
• Augmented Reality
• +7 more

Pierre Kornprobst is a Senior Research Scientist ( Directeur de Recherche ) at Inria Sophia Antipolis – Méditerranée, France. Specializing in vision science and computational neuroscience, he focuses on understanding visual perception mechanisms in visually impaired individuals and developing innovative solutions using virtual reality (VR) and augmented reality (AR). His work bridges biological vision systems with artificial computer vision, emphasizing bio-inspired models. Ph.D. in Mathematics (1998), Nice-Sophia Antipolis University Co-author of a textbook with over 2,000 citations Advisor to 8 Ph.D. and 20+ M.S. students Research interests span bio-inspired computer vision , VR/AR for accessibility , computational neuroscience , and visual perception modeling . Recent publications highlight VR-based assistive technologies, constrained text generation for vision screening, and Python toolboxes for reproducible experiments. His work has been recognized with inclusion in the 21st Annual Best of Computing . He has contributed to five European projects (FACETS, SEARISE, BRAINSCALES, MATHEMACS, RENVISION) and leads work packages in ANR DEVISE (2021–2024).

• Civil Engineering
• Materials Science
• Concrete Durability
• +6 more

Rachid Cherif is a Teacher-Researcher at the University of Limoges, France, affiliated with the E3-TDVM team. His work bridges civil engineering, materials science, and musicology, with a focus on chloride ion transport modeling in cementitious materials and musical discourse analysis in Tunisian traditional and modern music. Key research areas: Concrete durability, multi-ion transport, recycled aggregates, AI applications in construction, ethnomusicology, and music pedagogy. Email: rachid.cherif@univ-lr.fr His publications (2010–2025) span 15+ articles on topics like: Chloride migration models with thermodynamic equilibria Predictive AI frameworks for recycled concrete properties Non-invasive corrosion diagnostics Ethnomusicological studies of Tunisian popular music Hygrothermal behavior of bio-based concretes Collaborations include researchers like Abdelkarim Aït-Mokhtar, Carmen Andrade, and Emilio Bastidas-Arteaga. No scientific awards or students are explicitly mentioned. His work also explores music education in Tunisian primary schools and interplay between authenticity and modernity in Tunisian music.

• Electrodispersion Processes
• Nanophase Formation
• Droplet Dynamics
• +3 more

Michael Harris is the Robert B. and Virginia V. Covalt Professor of Chemical Engineering at Purdue University's Davidson School of Chemical Engineering, with a courtesy appointment in Environmental and Ecological Engineering. He joined Purdue in 2001 and holds a B.S. from Mississippi State University (1981), an M.S. (1987), and a Ph.D. (1992) from the University of Tennessee-Knoxville. His research focuses on electrodispersion processes, nanophase formation dynamics, droplet impaction/drying, environmental control technologies, and materials synthesis using biotemplates like viruses. Key techniques include high-intensity pulsed electric fields, computational modeling, and advanced characterization tools (e.g., SAXS, NMR). His work aims to engineer virus-based nanomaterials for applications in sensors, batteries, and nanocircuits. Awards & Honors: Fellow, ASEE (2017) Robert B. and Virginia V. Covalt Professor (2016–Present) Pioneers of Diversity Award (2015) Fellow, AIChE (2009) NSF CAREER Award (1997) Advising & Lab: Mentors graduate students (e.g., Anurhuda Bhat, Yu-Hsuan Lee) and undergraduates in research projects. Collaborates with visiting scholars and postdoctoral associates (e.g., Shohreh Hemmati). His lab integrates experimental and computational approaches to advance nanomaterials and environmental engineering solutions. Labs/Teams: Leads research groups focused on bio-inspired materials, electrodispersion, and environmental applications. Collaborates with CISTAR and Purdue’s chemical engineering infrastructure.

• Analytical Chemistry
• Forensic Science
• Biomedical Imaging
• +3 more

Professor Philip Doble is a Distinguished Professor at the University of Technology Sydney (UTS), leading the Elemental Bio-imaging Facility (EBF) within the School of Chemistry and Forensic Science. His work focuses on developing advanced analytical techniques, including laser ablation-ICP-MS and chip-based liquid chromatography systems, to address complex problems in metallomics, forensic science, and biomedical research. The EBF collaborates internationally and nationally, fostering innovations in metal distribution analysis, toxicology, and disease mechanisms. His research spans multiple disciplines, including the role of trace metals in infectious diseases, cancer biomarker identification, and environmental exposure studies. Notable achievements include the 2013 Vice Chancellor's Award for Research Excellence. Current funded projects include coral resilience studies and metastatic breast cancer diagnostics. Doble supervises postgraduate students and actively contributes to forensic science advancements through interdisciplinary collaborations. Key research areas include: Analytical chemistry innovations for biological systems Metal interactions in host-pathogen interfaces Breast cancer biomarker quantification Environmental metal pollution analysis Neurological disease metallomics Grants and collaborations include projects on MRI contrast agent environmental impact, dystrophin-glycoprotein complex imaging, and forensic drug detection. His lab's cutting-edge technologies enable multiplexed elemental and biomolecular imaging, bridging analytical chemistry with clinical and environmental applications.