جست‌وجوی استاد و پژوهشگر

• Sustainable Manufacturing
• Life Cycle Assessment
• Polymer Composites
• +۵ مورد دیگر

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 Timmisمشاهده پروفایل

استاد

• Robotics
• Artificial Immune Systems
• Swarm Robotics
• +۷ مورد دیگر

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.

Mark Müller-Linowمشاهده پروفایل

پژوهشگر

• Plant Phenotyping
• Plant Sciences
• Bioeconomy
• +۴ مورد دیگر

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
• +۴ مورد دیگر

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 Angمشاهده پروفایل

استادیار

• Stem Cell Biology
• Developmental Biology
• Regenerative Medicine
• +۴ مورد دیگر

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 .

• Electrodispersion Processes
• Nanophase Formation
• Droplet Dynamics
• +۳ مورد دیگر

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
• +۳ مورد دیگر

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.

• Bio-inspired Design
• Additive Manufacturing
• In-Space Manufacturing
• +۴ مورد دیگر

Salil Bapat is a Research Scientist at Purdue University's Department of Mechanical Engineering, located at the West Lafayette campus. His research focuses on bio-inspired design, additive manufacturing, in-space manufacturing systems, and frugal engineering strategies for resilient supply chains. He explores applications in robotics, materials science, and socially conscious technologies to address challenges in space exploration and resource-limited environments. His work includes developing bio-inspired end effectors for in-space servicing, advancing lightweight materials through biomimicry, and creating innovative solutions for food insecurity via 3D printing. He also investigates the intersection of biology and engineering for sustainable product innovations, such as adaptive supply chains and resource-efficient manufacturing processes. Key themes in his recent articles include ISAM (In-Space Servicing, Assembly, and Manufacturing) robotic systems, digital twins for space applications, and the use of AI in additive manufacturing quality control. His research bridges biological principles with engineering to create resilient, cost-effective, and socially impactful technologies.

• Oceanography
• Marine Biology
• Climate Science
• +۶ مورد دیگر

Professor Jonathan Sharples is a Professor of Ocean Sciences at the University of Liverpool, affiliated with the School of Environmental Sciences and the Faculty of Science and Engineering. He leads undergraduate programs in Ocean Science, Geography and Oceanography, Marine Biology with Oceanography, and Maths with Ocean and Climate Science. His research focuses on physical and biological oceanography, particularly the interplay between ocean dynamics (tides, currents, internal waves) and plankton populations, linking these processes to marine food webs and climate regulation in shelf seas. Research interests include ocean mixing mechanisms, climate impacts on dissolved oxygen levels, and anthropogenic influences like offshore wind farms. His work integrates field observations from research ships with modeling approaches. Teaching responsibilities include modules such as Oceanography, Plankton and Climate, and Sea Practical, emphasizing hands-on data analysis. Professional activities include editorial roles (e.g., Continental Shelf Research) and membership in scientific societies like the American Geophysical Union. Publications highlight studies on internal tides, wind farm impacts, and seasonal stratification effects. Advising includes supervision of theses on topics like plankton productivity and oceanographic processes. Current research explores climate change effects on shelf sea oxygenation and the role of physical processes in sustaining marine ecosystems.

• Machine Learning in Mechanical Systems
• Fluid Mechanics
• Renewable Energy Systems
• +۴ مورد دیگر

Dr. Muhammad Sajid is an Assistant Professor in Automotive Engineering (Fluid Mechanics) at the School of Mechanical and Materials Engineering, University College Dublin. He holds a B.Eng. from NUST (Pakistan), a Master's from ENSAM ParisTech (France), a PhD from University of Cergy Pontoise (France), and completed postdoctoral research at Texas A&M University Qatar and NUST. His research focuses on integrating AI/ML with mechanical engineering challenges, particularly in fluid dynamics, renewable energy systems, and smart building technologies. He coordinates courses like Computational Fluid Mechanics and Mechanics of Fluids. His work spans experimental and numerical studies in energy harvesting, HVAC optimization, and sustainable urban infrastructure. As PI of the AIMS laboratory, he leads projects on AI-driven mechanical systems. He actively participates in international conferences and has authored over 50 peer-reviewed publications. Education: Bachelor of Engineering (B.Eng.), National University of Sciences and Technology Master’s Degree, École Nationale Supérieure d’Arts et Métiers (ENSAM) Paris Tech PhD, University of Cergy Pontoise Postdoctoral Research: Texas A&M University at Qatar and NUST Research interests include cloud-based high performance computing for fluid dynamics simulations, solar/wind energy forecasting using machine learning, IoT sensor analytics for HVAC systems, and aerodynamic design optimization. His recent work emphasizes achieving net-zero energy buildings through smart environmental control systems.

• Environmental Policy
• Energy Systems Transition
• Waste Management
• +۷ مورد دیگر

Professor Phil Longhurst is a faculty member at Cranfield University, holding the Chair of Environment and Energy Technology in the School of Water, Energy & Environment . He leads the Centre for Renewable and Low Carbon Energy and serves as Director of Partnerships, bridging academia with industry and government clients. His academic background includes a PhD in Innovation & Technology Assessment, a degree in Design and Technology, and a B.Ed. (Hons). Prior to academia, he worked in the furniture industry and trained as a Design and Technology educator, developing educational wind tunnel demonstrators. His research focuses on waste management innovation , including material recovery from waste streams, energy-from-waste applications, and pollution prevention. Key projects involve risk assessments for agricultural use of composts (PAS100) and anaerobic digestates (PAS110), trace metal recovery from contaminated land, and systems modeling for waste minimization and net-zero transitions. He has pioneered methods like mechanical-biological treatment (MBT) of solid waste and solid recovered fuels (SRF) quality analysis. Professor Longhurst collaborates with major institutions such as EPSRC, NERC, Defra, BEIS , and industrial partners like Viridor, Biffa, Boeing . He teaches in Energy, Environment, and Agrifood themes while supervising doctoral researchers. Recent work includes contributions to HM Treasury’s Infrastructure study via the Engineering Interdependencies Expert Group (EIEG) and developing short courses on biowaste regulation and odour control. His research emphasizes cross-sector collaboration, environmental policy implementation, and transitioning energy systems to net-zero. Clients span government departments (e.g., HM Treasury, UK Water Industry Research), NGOs, and commercial sponsors. Phil has also evaluated methane diffusion dynamics in coal gasification and pioneered neural network-based approaches for solar PV adoption modeling.

• Organic Chemistry
• Organometallic Chemistry
• Inorganic Chemistry
• +۲ مورد دیگر

Prof. Alex Bissember is a Professor of Chemistry at the University of Tasmania's School of Natural Sciences. His research focuses on organic, organometallic, inorganic, and natural products chemistry, with a strong emphasis on chemical education. He holds qualifications including a PhD (ANU, 2010) and BSc degrees from ANU (2004-2005). His career includes postdoctoral research at MIT and Caltech, supported by the American Australian Association Merck Fellowship. He has led independent research since 2013 and was an ARC Future Fellow. Education: PhD (Chemistry), Australian National University, 2010 BSc (1st Class Hons Chemistry), ANU, 2005 BSc (Chemistry & Physics majors), ANU, 2004 Research Interests: His work spans synthetic chemistry innovations, including transition metal catalysis, photoredox systems, and natural product total synthesis. He also explores sustainable materials (e.g., microplastic alternatives) and green chemistry. His recent studies highlight advancements in C-H functionalization, verdazyl radical applications, and energy storage materials. Article Trends: Recent publications focus on catalytic methodologies (e.g., copper/photoredox catalysts), sustainable chemistry innovations (e.g., bio-based plasticizers), and mechanistic studies in cross-coupling reactions. His work bridges fundamental organic chemistry with practical applications in materials science and environmental solutions. Awards & Honors: 2023 Royal Society of Tasmania M. R. Banks Medal 2021 RACI Fellowship 2017 Tasmanian STEM Innovation of the Year Multiple ARC grants (DP250100285, LP220100252) Advising & Grants: He leads funded projects on catalyst development, polymerizable eutectics, and natural product isolation. His team explores photoredox systems, electrosynthetic methods, and mechanistic studies of cross-coupling reactions. He mentors students in advanced synthetic chemistry and catalysis. Labs & Teams: Active in collaborative networks including the Southern Highlands Conference on Heterocyclic Chemistry and RACI committees. His lab focuses on interdisciplinary research at the interface of synthesis, catalysis, and sustainability.

Ehsan Esfahaniمشاهده پروفایل

دانشیار

• Artificial Intelligence in Engineering
• Human-Machine Interaction
• Robotics
• +۴ مورد دیگر

Ehsan Esfahani is an Associate Professor and Director of Graduate Studies in the Department of Mechanical and Aerospace Engineering at the University at Buffalo's School of Engineering and Applied Sciences. He is affiliated with the Stephen Still Institute for Sustainable Transportation and Logistics. His research focuses on AI-driven robotics, human-machine interaction, and bio-mechatronics systems. Education: PhD in Mechanical Engineering, University of California, Riverside (2012) MS in Electrical Engineering, University of California, Riverside (2012) MS in Mechanical Engineering, University of Toledo (2007) BS in Mechanical Engineering, Isfahan University of Technology (2004) Research Interests: Brain-computer interfaces for CAD/robotic systems Human-robot collaboration and neuroergonomics Bio-inspired robotics and tactile sensing Swarm intelligence and multi-agent systems Variable stiffness actuators for safe manipulation Key Contributions: Esfahani's work bridges AI with physical systems, emphasizing real-time human-in-the-loop control. Recent trends in his publications focus on scalable swarm robotics, human-swarm interaction dynamics, and adaptive gripper designs for confined environments. His neurophysiological approaches assess cognitive load in collaborative tasks, enhancing system safety and efficiency. Awards: American Power Public Associations DEED Scholarship (2012) UC Riverside Dissertation Year Fellowship (2011–2012) Lung-Wen Tsai Memorial Scholarship (2010) Advising & Labs: Directs the HILS Lab (Human-Inspired Learning Systems), exploring human-centered robotics. Active in grants focusing on AI-driven factories, cognitive modeling in surgery, and variable stiffness mechanisms. Collaborates on projects like SHaSTA (Human-Swarm Team Simulator) and MyoTrack rehabilitation systems. Labs & Teams: HILS Lab: Human-AI collaboration frameworks Stephen Still Institute: Transportation logistics and sustainability

• Neuroendocrinology
• Behavioral neuroscience
• Hormone-behavior interactions
• +۲ مورد دیگر

Ryan Wynne is Associate Teaching Professor specializing in neurobiology and endocrinology at University at Buffalo. His research examines hormonal regulation of neural plasticity and behavior using zebrafish and avian models. Research Areas: Neuroendocrine mechanisms underlying social behavior in zebrafish Stress physiology and cortisol effects on neural plasticity Behavioral syndromes in conservation contexts Auditory learning mechanisms in songbirds Wynne teaches undergraduate courses including Neurobiology (BIO 417) and Endocrinology (BIO 448), maintaining office hours in 229 Cooke Hall.

Seung Jae Leeمشاهده پروفایل

دانشیار

• Civil Engineering
• Geotechnical Engineering
• Computational Modeling
• +۶ مورد دیگر

Seung Jae Lee is an Associate Professor and Undergraduate Program Director in the Department of Civil and Environmental Engineering at Florida International University (FIU). He holds a Ph.D. in Civil Engineering from the University of Illinois at Urbana-Champaign (2014). His research focuses on advanced computational modeling of granular materials, structural dynamics, and disaster-resilient infrastructure. Key areas include particle geometry characterization, soil-water interaction analysis, and wind engineering for building systems. He leads efforts in integrating 3D imaging and simulation techniques to enhance material understanding and infrastructure performance. Education: Ph.D., Civil Engineering, University of Illinois at Urbana-Champaign, 2014 Research interests span particle morphology analysis, computational mechanics, and sustainable construction materials. His work emphasizes practical applications such as improving cement-based materials through aggregate morphology optimization and enhancing building envelope systems against extreme winds. Lee's methodologies often combine experimental testing with advanced numerical simulations, such as discrete element modeling (DEM) and finite element analysis (FEA). His articles highlight trends in 3D particle characterization, wind-induced structural behavior, and biotechnology-driven soil improvement. These studies aim to bridge microscopic material properties with macroscopic engineering performance, contributing to safer and more durable infrastructure systems. Notable projects include full-scale testing of curtain wall systems and development of predictive models for material degradation under cyclic loading. His lab focuses on disaster preparedness through computational frameworks integrating imaging and simulation for construction projects.