جست‌وجوی استاد و پژوهشگر

• Hospital Medicine
• Internal Medicine
• Patient Safety
• +۷ مورد دیگر

Andrew Lai is a Professor in the Division of Hospital Medicine within the School of Medicine at the University of California, San Francisco (UCSF), where he has been a faculty member since 2009. He provides direct patient care at the Parnassus and Mount Zion campuses and serves on the Hospitalist Procedure Service, while also supervising and teaching medical students and resident physicians. He was among the first hospitalists at St. Mary's Medical Center through the St. Mary's-UCSF Joint Clinical Program established in 2018. Dr. Lai’s research and professional interests center on patient safety , bedside procedural education , clinical reasoning , high-value healthcare , and palliative care . His work emphasizes quality improvement, procedural training, and reducing unnecessary resource utilization. He has led initiatives in ultrasound-guided procedures and performance dashboard development using participatory design. His recent publications (2019–2025) reflect a strong focus on hospital medicine, internal medicine, and health services. Key themes include clinical reasoning, procedural safety, diagnostic imaging appropriateness, and the use of AI in clinical documentation. These works appear in high-impact journals such as JAMA Internal Medicine , New England Journal of Medicine , and Journal of Hospital Medicine . Floyd C. Rector Award for Excellence in Teaching - Nominee (2025) Senate Clinical Excellence Award - Nominee (2024) Council of Master Clinicians (2024) Master Educator-Coach (2023) Exceptional Physician Award (2019) One of 2019's most highly rated peer reviewers (Journal of Hospital Medicine) Dr. Lai has played a significant role in mentoring and education, having served as a RAD (Resident Advising and Development) advisor, faculty interviewer, and co-director of a Quality Improvement/Patient Safety elective for fourth-year medical students. He has also led multiple educational programs, including the UCSF Hospitalist Mini-College CME course session on ultrasound and bedside procedures. He is actively involved in quality improvement through his membership in the Division's Quality Improvement Committee and Unit-Based Leadership Team, and contributed to the Caring Wisely-awarded project on IV albumin stewardship. His early clinical experience includes HIV-related work in India and Kenya, and he volunteered during the peak of the COVID-19 pandemic at New York-Presbyterian hospitals.

• Analytical Chemistry
• Food Chemistry
• Environmental Chemistry
• +۴ مورد دیگر

Antonella Cavazza is an Associate Professor at the University of Parma in the Department of Chemical, Life and Environmental Sustainability Sciences. Her career spans analytical chemistry, food science, and biomedical research, with significant contributions to chromatographic techniques and sustainable materials. PhD in Pharmaceutical Chemistry (1995, University of Messina, cum laude) Classical High School Diploma (1989) Her research focuses on analytical chemistry applied to food quality control, enzyme kinetics for disease diagnostics, and sustainable packaging . Recent work examines contaminants from eco-friendly food-contact materials and bioactive compounds from agro-industrial by-products. Publications highlight her expertise in chromatography , nanotechnology , and food processing . Key themes include biodegradable polymers, bioactive recovery, and antitumor applications of gold nanoparticles. 2025: Best poster award, Euro Food Chem IX (1997) 2024: Poster award, 22nd International Symposium on Chromatography (1998) She teaches Analytical Chemistry and Food Control courses at Parma University, with prior teaching experience in Rome. Her technical skills include fluency in English and advanced informatics knowledge.

• Health Informatics
• Implementation Science
• Quantitative Health Sciences
• +۳ مورد دیگر

Julia O'Rourke is an Assistant Professor at UMass Chan Medical School , affiliated with the T.H. Chan School of Medicine and the Population and Quantitative Health Sciences department. Her research focuses on Health Informatics , Implementation Science , and Quantitative Health Sciences , with expertise in Data Science and Biomedical Engineering . Education : BS in Chemical Engineering, Northeastern University MMSC, Harvard Medical School MS in Quantitative Health Sciences, University of Massachusetts Boston PhD in Genetics/Biomedical Engineering, Tufts University Affiliations : TriNetX, LLC (address) Division of Health Informatics and Implementation Science

Florian Listمشاهده پروفایل

پژوهشگر

• Sustainable Chemistry
• Renewable Organic Resources
• Chemical Informatics
• +۳ مورد دیگر

Florian List is a Researcher at the Institute of Sustainable Chemistry (INSC) within Leuphana University of Lüneburg. His work focuses on sustainable chemistry, renewable organic resources, and chemical informatics, with a particular emphasis on environmental toxicology and computational modeling of reactive transport processes. Contact: florian.list@leuphana.de | Office: C1.203, Universitätsallee 1, 21335 Lüneburg

Michael Palocz-Andresenمشاهده پروفایل

استاد

• Sustainable Chemistry
• Renewable Organic Resources
• Material Science
• +۳ مورد دیگر

Prof. Dr. habil. Michael Palocz-Andresen serves as a Professor at the Institute of Sustainable Chemistry (INSC) within Leuphana University of Lüneburg, Germany, focusing on sustainable chemical processes and material innovation derived from renewable organic resources. His research spans critical domains including: Sustainable Chemistry methodologies Renewable Organic Resource valorization Advanced Material Science development Environmental Toxicology assessment Chemical Informatics systems High-precision Analytics techniques Within the INSC framework, he actively contributes to multiple specialized research groups such as Toxicology, Reactive Transport Modelling, ZIN-AgriTra, Chemical Informatics, Analytics, and Degradation Studies, driving interdisciplinary projects focused on environmentally responsible chemical solutions. His work directly supports the institute's educational initiatives including the annual Sustainable Chemistry Summer School (S3C) series.

• Computational Neuroscience
• Computational Biology
• Health Informatics
• +۸ مورد دیگر

David Sterratt is a Lecturer in the School of Informatics at The University of Edinburgh, where he has been a University Teacher and researcher since 2000. He is affiliated with the Institute for Adaptive and Neural Computation and the Centre for Statistics, and serves as Deputy Director of Learning & Teaching (Operations). His work bridges computational neuroscience, data science, and sustainability education. His educational background includes an undergraduate degree in Physics and a PhD in computational neuroscience. He is a Fellow of the Higher Education Academy (HEA), reflecting his commitment to pedagogy. PhD in Computational Neuroscience BSc in Physics David Sterratt's research focuses on computational neuroscience , particularly multiscale modelling of neurons, synaptic plasticity, and the development of neural topographic maps. He combines rule-based models of molecular interactions with compartmental models of neuronal electrical activity using tools like KappaNEURON. His work on retinal reconstruction via the Retistruct software has enabled accurate transformation of flattened retinae into 3D anatomical space. He also investigates learning mechanisms in associative memory and familiarity detection in neural networks. His recent publications reflect a deep engagement with hybrid computational models, calcium dynamics in dendritic spines, and the quantitative analysis of neural development. Themes across his work include multiscale integration , stochastic and deterministic modelling , and biologically constrained simulations . Scientific honors include: Fellow of the Higher Education Academy (HEA) He is actively involved in teaching and supervision. He co-designed and organizes the second-year undergraduate course Informatics 2 - Foundations of Data Science and teaches Modelling of Systems for Sustainability . He supervises undergraduate and postgraduate projects and welcomes PhD supervision enquiries. His current PhD students include Domas Linkevicius and Susana Román García, co-supervised with Melanie Stefan. David Sterratt leads significant educational initiatives and software development. He developed and maintains Retistruct and KappaNEURON, and has contributed R packages for computational neuroscience. He previously served as Energy Coordinator for the Informatics Forum (2011–2019), demonstrating a longstanding commitment to sustainability.

• Food Safety
• Risk Assessment
• Pesticide Residues
• +۴ مورد دیگر

Waldo de Boer is a Researcher at Biometris, Wageningen University & Research, Netherlands, specializing in food safety risk assessment with emphasis on dietary exposure and cumulative pesticide risk evaluation. His work directly supports European Food Safety Authority (EFSA) initiatives through development of the Monte Carlo Risk Assessment (MCRA) platform for integrated exposure analysis. Research focus areas include: Cumulative dietary risk assessment methodologies Pesticide residue exposure modeling Uncertainty quantification in toxicological extrapolation Food consumption data integration In vitro to in vivo extrapolation (IVIVE) Prospective/retrospective regulatory risk frameworks Recent publications demonstrate concentrated advancement in MCRA platform capabilities, particularly for data interoperability and regulatory implementation of cumulative risk assessment. His work bridges computational modeling with practical food safety policy, addressing critical gaps in pesticide exposure evaluation through innovative statistical approaches and platform development. Scientific Awards: No awards documented in source materials. Advising and Grants: No graduate students or grant leadership roles specified in available records. Primary contributions occur through institutional research projects and EFSA collaborations. Labs and Teams: Core contributor to Biometris research group at Wageningen University, focusing on statistical methods for risk assessment. Integral member of MCRA development team collaborating with EFSA, national food safety agencies, and European research consortia on pesticide risk evaluation frameworks.

Negin Forouzeshمشاهده پروفایل

دانشیار

• Computer Science
• Life Sciences
• Drug Discovery
• +۶ مورد دیگر

Negin Forouzesh is a tenure-track Associate Professor in the Department of Computer Science at California State University, Los Angeles, with a joint appointment in the Biomedical Engineering (BME) Minor Program. She co-directs the NSF-PREC program and contributes to AMBER, an open-source molecular dynamics software. Ph.D. in Computer Science from Virginia Tech (2020) M.Sc. and B.Sc. from Amirkabir University of Technology (Tehran Polytechnic) Her research focuses on computational sciences for drug discovery, combining machine learning , scalable optimization algorithms , and high-performance computing to model biomolecular systems. She pioneered physics-informed neural networks for binding free energy calculations and developed novel geometric metrics for protein pocket analysis. Recent work trends show expertise in deep generative models for ligand discovery, virtual reality applications in molecular docking, and hybrid physics-ML approaches for predictive modeling in biomolecular systems. As a principal investigator for NIH-R16 and co-director of NSF-PREC programs, she leads interdisciplinary projects spanning computational biology, medical imaging, and software development for molecular simulations. Her lab, COMB Lab, maintains active GitHub repositories and collaborates with institutions like Stanford Center for Genomics and MolSSI.

Saurabh Basuمشاهده پروفایل

دانشیار

• Additive Manufacturing
• Machining Processes
• Plastic Deformation
• +۷ مورد دیگر

Saurabh Basu is an Associate Professor at the Marcus Department of Industrial and Manufacturing Engineering within Penn State University's College of Engineering. His research bridges advanced manufacturing techniques and materials science, focusing on surface engineering and process optimization. Key research keywords include Additive Manufacturing, Machining, Plastic Deformation, and Strain Field Analysis Active in interdisciplinary projects under themes like Equitable Communities and the Built Environment Research Trends : Basu's recent work explores additive manufacturing of Inconel 718, topology optimization with neural ODEs, and data-driven defect detection in welding and machining processes. His publications highlight integration of computational modeling with experimental validation. Scientific Awards : Institutes of Energy and the Environment Seed Grant (2022) Interdisciplinary Energy/Environmental Seed Grant (2022) Materials Research Seed Grant (2021) Collaborations : Works closely with faculty like Edward De Meter (Industrial Engineering), David Pagan (Materials Science), and Harsh Sun (Materials Informatics). Also affiliated with Penn State's Institutes of Energy and the Environment.

Serena Cussenمشاهده پروفایل

استاد

• Materials Chemistry
• Energy Storage Materials
• Solid-State Battery Technology
• +۴ مورد دیگر

Serena Cussen is a Full Professor of Materials Chemistry at the School of Chemistry, University College Dublin. She graduated in Natural Sciences before earning her PhD in Chemistry at Trinity College Dublin on magnetic nanocomposite materials for imaging. Her postdoctoral work at UC Santa Barbara focused on metal-insulator transitions in oxides. She held academic positions at the University of Glasgow (2013-2018) and University of Sheffield (2018-2024) before joining UCD in 2024. Education : BA (Hons) in Chemistry, Postgraduate Certificate in Higher Education, Postgraduate Diploma in Quality Management. Research : Interdisciplinary design of energy storage materials, solid-state electrolytes, and sustainable synthesis methods. Key Research Areas include: Advanced synthesis techniques for battery materials Operando characterization of ion transport Surface chemistry and fracture mechanics in cathodes Science communication and gender equity in publishing Recent Publications highlight innovations in Lithium-metal batteries , anion redox centers , and microwave-assisted manufacturing . She has pioneered Secondary Electron Hyperspectral Imaging for nanoscale carbon analysis. Awards include: RSC Interdisciplinary Prize (2023) ISIS Science Impact Award (2021) RSC Journal of Materials Chemistry Lectureship (2017) She serves as Scientific Editor for Journal of Materials Chemistry A and on advisory boards for Nanoscale , Chemistry of Materials , and Batteries & Supercaps . Her grants portfolio includes UK EPSRC, Faraday Institution, and Horizon Europe funding.

Sudhakar Pamidighantamمشاهده پروفایل

پژوهشگر

• Computational Chemistry
• Molecular Dynamics
• Cyberinfrastructure
• +۳ مورد دیگر

Sudhakar Pamidighantam is a Researcher at Indiana University Bloomington's Department of Chemistry, affiliated with the Science Gateways Research Center in the Pervasive Technology Institute. With over 25 years as a consulting and research scientist at NCSA, he specializes in high-performance computing and cyberinfrastructure development for chemistry and computational biology communities. Education B.Sc. from Madras University M.Sc. from University of Hyderabad Ph.D. in Chemistry from University of Alabama at Birmingham Key Contributions Developed ChemViz educational portal Architect of GridChem cyberinfrastructure Principal developer of Science and Engineering Applications Grid (SEAGrid) His research focuses on ab initio modeling, reaction mechanisms, and protein structure/function prediction through computational workflows. He actively supports NSF-funded projects via XSEDE collaborative support teams and has been an IEEE affiliate and American Chemical Society member since 1990.

• Computer Vision
• Machine Learning
• Healthcare AI
• +۷ مورد دیگر

Jianbo Jiao is an Associate Professor in Computer Vision and Machine Learning at the School of Computer Science, University of Birmingham, where he leads the MIx (Machine Intelligence + x) research group. Previously, he was a Postdoctoral Researcher in the Biomedical Image Analysis (BioMedIA) group and Visual Geometry Group (VGG) at the University of Oxford, working on the SeeBiByte and VisualAI projects. MSc from Peking University (2015) PhD in Computer Science from City University of Hong Kong (2018), supported by Hong Kong PhD Fellowship Scheme Visiting scholar at Beckman Institute, University of Illinois at Urbana-Champaign (2017-2018) Dr. Jiao's research focuses on Computer Vision, Machine Learning, Healthcare AI, and AI for Science. His work primarily investigates learning representations in open-world scenarios by exploring auxiliary information from multiple modalities (image/video, speech/audio, text/NLP, depth/stereo, gaze/saliency, motion) and reducing dependency on supervision through self-supervised, weakly-supervised, and semi-supervised learning approaches. His group has made significant contributions to multimodal learning, medical image analysis, and 3D vision. His recent publications demonstrate strong trends in multimodal learning, medical AI applications, and 3D computer vision. The research spans fundamental computer vision tasks like segmentation and scene understanding while addressing practical challenges in healthcare and scientific domains. Notably, there's significant focus on making vision systems more robust to distribution shifts and requiring less labeled data. Amazon Research Award recipient (2024) Royal Society Short Industry Fellow Best Paper Award at MICAD 2024 Best Paper Award at MICCAI 2024 ASMUS Workshop Best Presentation (Runner-Up) Award at MICCAI 2024 ASMUS Workshop Best Paper Award at ECCV 2022 Medical Computer Vision Workshop Multiple Outstanding Reviewer Awards from top conferences Dr. Jiao serves as Associate Editor for The Transactions on Machine Learning Research (TMLR) and IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), and has been actively contributing to the community as Area Chair for NeurIPS, ICML, ICLR, and ACM MM. His MIx group has secured multiple research grants including the Amazon Research Award for the PCo3D project on Physically Plausible Controllable 3D Generative Models. Current PhD students include Isaac Akintaro, Hao Ai, and Kangning Zhang. The MIx group maintains active collaborations with industry partners including Amazon and Meta, and has developed notable datasets such as 360+x for panoptic multi-modal scene understanding and DyMVHumans for dynamic human modeling. Their research bridges fundamental computer vision with practical applications in healthcare, physics, chemistry, and other scientific domains.

• X-ray Spectroscopy
• Ultrafast Dynamics
• Quantum Materials
• +۴ مورد دیگر

Professor A. Föhlisch is a prominent researcher at the University of Hamburg's Faculty of Mathematics, Informatics and Natural Sciences, specifically within the Institute for Experimental Physics. With over 50 publications spanning from 2018 to 2025, Föhlisch has established a significant research presence in advanced X-ray spectroscopy techniques at major international facilities including DESY and the European XFEL. The research program focuses on cutting-edge investigations of quantum materials, ultrafast dynamics, and magnetic phenomena using state-of-the-art X-ray methodologies. Föhlisch's research interests encompass X-ray spectroscopy, ultrafast dynamics, quantum materials, magnetism, photochemistry, synchrotron radiation, and free electron lasers. The work explores fundamental questions about electron and spin dynamics at femtosecond timescales, with applications ranging from quantum materials to catalytic processes. A significant portion of the research involves developing and utilizing advanced X-ray techniques to probe matter under extreme conditions and at unprecedented temporal resolutions. Analysis of the publication record reveals a strong focus on developing and applying time-resolved X-ray spectroscopy methods, particularly at the European XFEL facility. The research spans both fundamental investigations of quantum phenomena in materials and more applied studies relevant to energy research and catalysis. Key methodological contributions include advancements in resonant inelastic X-ray scattering (RIXS), transient absorption spectroscopy, and techniques for probing magnetic dynamics with circularly polarized X-rays. The research group maintains strong collaborations with major international facilities including DESY, European XFEL, and various synchrotron radiation sources. This collaborative approach enables access to cutting-edge instrumentation and facilitates interdisciplinary research spanning physics, chemistry, and materials science. The work has significant implications for understanding fundamental quantum phenomena and developing next-generation materials for technological applications.

Daniel McCollumمشاهده پروفایل

استاد

• Free Open Access Medical Education
• Metacognition
• Emergency Department boarding
• +۷ مورد دیگر

Daniel McCollum is a Professor in the Department of Emergency Medicine at the Medical College of Georgia, Augusta University. He completed both his MD and residency training at the same institution, graduating from Emergency Medicine residency in 2013. Since 2014, he has served as Assistant Program Director, playing a central role in graduate medical education. His research and clinical interests focus on innovative medical education, including Free Open Access Medical Education (FOAMed), metacognition, social media in medicine, and educational theory. He is actively involved in podcasting and has contributed to prominent emergency medicine podcasts such as EM:RAP, ED ECMO, and The Skeptic’s Guide to Emergency Medicine. Free Open Access Medical Education (FOAMed) Metacognition in Clinical Practice Emergency Department Boarding and Flow Social Media Use in Medical Education Educational Theory and Curriculum Development Clinical Informatics and Telemedicine His recent publications, primarily in broadcast and professional media, reflect a strong emphasis on practical emergency medicine topics such as sepsis recognition, electrical injuries, toxicology cases, and hemorrhage control. These works demonstrate a commitment to translating clinical knowledge into accessible educational formats. Dr. McCollum has received multiple teaching awards, including the Exemplary Teaching Award for both Undergraduate and Graduate Medical Education at Augusta University in 2024, highlighting his excellence in education across training levels. Exemplary Teaching Award for Graduate Medical Education, Augusta University, 2024 Exemplary Teaching Award for Undergraduate Medical Education, Augusta University, 2024 Outstanding Faculty Educator Award, AU Department of Emergency Medicine, 2022 Exemplary Teaching Award for Excellence in Undergraduate Medical Education, 2020 Outstanding Faculty Educator Award, 2020 Residency Educator Award, Emergency Medicine Residency, 2013 He holds significant service roles across departments and institutions, including Chair of the Pain Committee, ED Informaticist, and active participation in the Institutional Review Board, ECMO Committee, and Buprenorphine/MAT clinic. He also leads professional initiatives such as the Rural EM Conference and GCEP, and contributes to peer review for journals and conferences. His community service includes Clinica Latina and opioid abuse prevention programs. Dr. McCollum is involved in telemedicine rollout, lecture feedback systems, and culture improvement initiatives within the emergency department, reflecting a holistic approach to system-level improvements in emergency care and education.

• Energy Communities
• Renewable Energy Systems
• Green Hydrogen Production
• +۵ مورد دیگر

Francesco Demetrio Minuto is a Fixed-term tenure-track assistant professor at the Department of Energy (DENERG) at Polytechnic University of Turin, where he is also a member of the Interdepartmental Center Ec-L - Energy Center Lab. His academic activities span across multiple engineering disciplines as an invited member of both the College of Electrical and Energy Engineering and the College of Mechanical, Aerospace, and Automotive Engineering. Dr. Minuto's research focuses on energy communities, techno-economic analysis of renewable energy systems, green hydrogen production, and energy storage technologies including lithium-ion batteries and hydrogen storage. His work addresses critical challenges in sustainable energy transition, with particular emphasis on hydrogen technologies, energy storage optimization, and community-scale renewable energy integration. His research aligns with key Sustainable Development Goals, particularly Goal 7 (Affordable and clean energy), Goal 11 (Sustainable cities and communities), and Goal 13 (Climate action). His recent publication record demonstrates strong expertise in hydrogen technologies, energy storage systems, and renewable energy community modeling, with numerous high-impact publications in leading energy journals. His work often involves sophisticated modeling approaches including stochastic simulation frameworks, MILP optimization, and techno-economic analysis to address real-world energy challenges. Dr. Minuto actively mentors the next generation of energy researchers, supervising five PhD students working on cutting-edge energy projects. His teaching portfolio includes PhD-level instruction on 'Safety of new energy carriers in confined spaces' and undergraduate courses such as 'Energy and Renewable Energy Sources' and 'Applied Thermodynamics and Heat Transfer' across multiple engineering programs. He is currently involved in the EU-funded TIPS4PED research project (2024-2027) under the Horizon Europe program, focusing on Positive Energy Districts and urban energy planning. His research bridges theoretical modeling with practical applications in the energy transition, contributing to both academic knowledge and real-world energy solutions.