جست‌وجوی استاد و پژوهشگر

Leila Deraviمشاهده پروفایل

دانشیار

• Biomaterials Science
• Biotechnology
• Bioanalytical Chemistry
• +۵ مورد دیگر

Leila Deravi is an Associate Professor of Chemistry and Chemical Biology at Northeastern University's College of Science, affiliated with the Barnett Institute of Chemical and Biological Analysis and the Institute for Chemical Imaging of Living Systems. Her research focuses on biomaterials design, particularly protein-based systems inspired by biological mechanisms in cephalopods and extracellular matrices. She leads the Biomaterials Design Group, which explores applications ranging from tissue engineering to wearable electronics. Her work integrates bioanalytical chemistry, materials science, and design, with projects including cephalopod pigment studies for sunscreen development and bionic material fabrication using additive manufacturing. She has secured significant grants, including an NSF award and U.S. Army funding, and co-founded Seaspire Skincare, leveraging marine biotechnology. Key Research Themes: Bio-inspired materials, cephalopod pigmentation, biomedical textiles, and sustainable cosmetics Notable Collaborations: Cross-disciplinary projects with engineering, biology, and entrepreneurship Innovation: Development of UV-sensing devices and eco-friendly skincare products Deravi's educational contributions include innovative chemistry courses where students design cosmetics, bridging theory and practical application. Her lab's work frequently appears in media discussions on skincare trends and environmental chemistry advancements.

• Medical Image Reconstruction
• Computed Tomography
• Positron Emission Tomography
• +۶ مورد دیگر

Professor Jerome Liang is a distinguished faculty member at Stony Brook University's Renaissance School of Medicine, holding professorships in Radiology, Biomedical Engineering, Electrical and Computer Engineering, and Computer Science. He serves as Co-Director of Radiology Research and has established himself as a leading expert in medical imaging reconstruction techniques. Dr. Liang's educational background includes a Ph.D. in Physics from City University of New York, postdoctoral training at Duke University, and fellowship at Albert Einstein College of Medicine. His undergraduate degree in Modern Physics was obtained from Lanzhou University in China. His primary research interests focus on advanced medical imaging techniques, particularly low-dose computed tomography image reconstruction, quantitative SPECT reconstruction, high-resolution PET imaging, tissue segmentation from multi-spectral images, computer-aided diagnosis systems, and virtual colonoscopy development. His work bridges engineering principles with clinical applications to improve diagnostic imaging capabilities while reducing radiation exposure. Analysis of his recent publications reveals a strong focus on machine learning applications in medical imaging, particularly in polyp classification, dual-energy CT spectral analysis, and virtual endoscopy. His research consistently aims to enhance diagnostic accuracy while optimizing radiation dose and improving visualization techniques for various medical conditions. 1981 China-US Physics Examination and Application Program (CUSPEA) Winner (Top 25 among 250,000 candidates) 1990 NIH First Investigator Award 1996 American Heart Association Established Investigator Award 1996 Radiological Society of North America Certificate of Merit Award 2002 SUNY Chancellor's Entrepreneur Award 2007 IEEE Society Fellow 2011-2013 SBU, BNL and CSHL Certificates of Excellence in Research and Invention 2013 Stony Brook School of Medicine Award for Excellence in Translational Research Dr. Liang has secured significant research funding including NIH/NCI R01 grants for "Advanced Virtual Colonoscopy for Early Cancer Screening" and "Radiogenomics of Colorectal Polyps." He currently leads active protocols including IRB 93995-MODCR005 focused on integrating virtual and optical colonoscopies with pathological analysis. His laboratory (IRIS - Imaging Research and Informatics) continues to advance medical imaging technology while mentoring the next generation of researchers in this critical field.

• Medical Imaging
• Nuclear Medicine
• Radiation Dosimetry
• +۳ مورد دیگر

Hunor Kertész is a Research Fellow at the University of Sydney's Image X Institute, affiliated with the Discipline of Medical Imaging Sciences in the School of Health Sciences. His research focuses on advancing medical imaging technologies, particularly in PET (Positron Emission Tomography) and CT (Computed Tomography) systems, with an emphasis on improving image quality, reducing radiation exposure, and developing novel imaging tools. His work spans several key areas: optimizing positron range correction in PET/CT for cardiac and oncology applications, exploring low-dose imaging techniques for pediatric patients, and creating open-source software tools like Dvgardener for medical image processing. He has contributed to the development of anthropomorphic phantoms for clinical simulations and portable CT systems for lung cancer screening. Recent publications highlight advancements in PET/MRI dose reduction for epilepsy patients, high-resolution total-body PET/CT through positron range correction, and the validation of Rubidium-82 myocardial imaging methods. His research often intersects with radiation dosimetry, image reconstruction algorithms, and 3D-printed anatomical models for quality assurance. While not explicitly mentioned, his contributions likely involve collaborations with clinical teams to translate imaging innovations into practical diagnostic solutions.

• Bio-inspired electronics
• Mechanically adaptive electronics
• Multimaterial additive fabrication
• +۹ مورد دیگر

Alex Chortos is an Assistant Professor of Mechanical Engineering at Purdue University's School of Mechanical Engineering. His research focuses on bio-inspired electronics, mechanically adaptive materials, and advanced manufacturing techniques. He leads the Chortos Lab, which explores innovations in soft actuators, wearable haptics, and polymer design. Chortos holds a B.A.Sc. from the University of Waterloo (2011), a Ph.D. from Stanford University (2017), and completed a postdoctoral fellowship at Harvard University (2020). His academic work bridges fundamental material science with practical applications in robotics, biomedical devices, and human-machine interfaces. Key research areas include: Multimaterial additive fabrication for soft robotics Stretchable sensors and transistors for e-skin applications Design of durable and adaptive polymer systems His publications emphasize advancements in 3D printing techniques, bioinspired sensor systems, and the development of mechanically robust electronic components. Recent work explores photodynamic polymers and machine learning-driven optimization of soft actuators.

Michael J. Mitchellمشاهده پروفایل

دانشیار

• Biomaterials Science
• Drug Delivery
• Cancer Therapy
• +۷ مورد دیگر

Michael J. Mitchell is an Associate Professor in the Department of Bioengineering at the University of Pennsylvania. His research focuses on overcoming biological barriers to drug delivery through biomaterials science, nanotechnology, and cellular engineering. Key areas include mRNA lipid nanoparticle development for cancer therapy, immunotherapy, genome editing, and regenerative medicine. His lab has pioneered placental-targeted drug delivery for in utero treatments and developed scalable microfluidic manufacturing processes for vaccines. Education: PhD in Bioengineering (University of Pennsylvania) Postdoctoral Training in Nanomedicine Research Interests: Dr. Mitchell’s work integrates biomaterials with biological systems to improve drug delivery efficiency. Current projects include: Design of lipid nanoparticles for mRNA and CRISPR delivery Targeted therapies for cancer metastasis and cardiovascular disease Placenta-specific drug delivery systems for maternal-fetal health Bioengineered immune cell therapies using mRNA Recent Achievements: In 2021, his lab published breakthrough work on lipid nanoparticles improving mRNA vaccine stability, featured in Penn Today and MIT Technology Review . Collaborations with CHOP and Penn Medicine have advanced in utero mRNA delivery for congenital diseases. Awards & Grants: Recipient of NIH grants for nanomedicine research and industry partnerships for vaccine development. Active in translational projects with startup companies for clinical nanotechnology applications. Labs & Teams: Lead of the Mitchell Lab at Penn Engineering, which includes over 20 researchers focusing on nanomedicine, biomaterials, and clinical translation.

• Medical Image and Video Analysis
• Temporal Data Analysis
• Machine Learning
• +۳ مورد دیگر

Sveta Zinger is a Full Professor in context-informed dynamic image analysis for clinical decision support at Eindhoven University of Technology (TU/e). She holds affiliations with the Biomedical Diagnostics Lab, NeuroPlatform, and EAISI Health. Her research focuses on medical image/video analysis, temporal data analysis, and machine learning for clinical applications. She has led projects funded by ZonMw, NWO, Philips, and others. She is also Co-Editor-in-Chief of Computer Methods and Programs in Biomedicine and serves on the Vidi committee for NWO. Education: MSc (2000) from Dnepropetrovsk State University; PhD (2004) from École Nationale Supérieure des Télécommunications, France. Postdoctoral roles at the French Atomic Agency and University of Groningen. Research Projects: Includes FORSEE (video monitoring for adverse events in healthcare) and NEUROTREND (fMRI biomarkers for depression). Awards: Second place in the CAMELYON17 challenge for metastases detection. Her teaching includes courses on DSP fundamentals, medical image processing, and cognitive neuroscience. She collaborates with clinical and industrial partners to advance biomedical diagnostics and healthcare technology.

Pierre Flenerمشاهده پروفایل

استاد

• Artificial Intelligence
• Constraint Programming
• Discrete Optimization
• +۵ مورد دیگر

Pierre Flener is a Professor at the Department of Information Technology, Division of Computing Science at Uppsala University. He leads the Optimisation Group and is a member of the Centre for Interdisciplinary Mathematics. His work focuses on constraint programming and discrete optimization, addressing complex scheduling, routing, and resource allocation challenges. Flener is an Officer of the Order of Merit of Luxembourg and co-founder of NordConsNet, the Nordic Network for Constraint Programming researchers. Research Interests: Flener’s research spans constraint programming, combinatorial optimization, and algorithm design. He develops models and tools for automated decision-making in domains like air traffic management, sensor networks, and industrial robotics. His work emphasizes practical applications, leveraging constraint satisfaction techniques to solve real-world puzzles such as vehicle routing and personnel allocation. Key Contributions: Flener has authored over 100 publications on constraint solving, symmetry breaking, and CP-based approaches to industrial problems. Notable projects include airspace sectorization optimization, energy-efficient sensor networks, and financial portfolio design. He has led initiatives like Auto-Tabling for MiniZinc and collaborated on CP applications in bioinformatics and image processing. Labs & Teams: He heads the Optimisation Group at Uppsala, fostering research in CP and its applications. NordConsNet, co-founded by Flener, connects Nordic researchers and practitioners in constraint technology.

• Constitutional Law
• Administrative Law
• Intellectual Property Law
• +۳ مورد دیگر

PD Dr. Jannis Lennartz is a Senior Lecturer in Public Law at Humboldt University Berlin, specializing in constitutional law, administrative law, and digital legal issues. He holds a habilitation (2022) and has held visiting professorships at Göttingen and Cambridge. His research focuses on intersections of law and technology, fundamental rights in the digital age, and legal theory. He has published extensively on AI copyright challenges, algorithmic governance, and constitutional limits in administrative contexts. Education: BA Political Science (Erfurt, 2008), dual法学博士 (Göttingen/Berlin, 2013-2017), habilitation (Berlin, 2022). Key awards include the Leibniz Prize. Teaching includes Constitutional History (10 006), New Developments in Law (10 603), and General Administrative Law (10 450). Research highlights: Over 30 peer-reviewed articles since 2015 across constitutional law, intellectual property, and digital governance. Notable works include Chancellor Democracy (2023) and Forbidden Fruits? (2025), examining AI's impact on artistic creation and copyright frameworks. Recent publications address algorithmic filtering, digital trust mechanisms, and AI-generated content regulation. Awards: Leibniz Prize (specific details not provided but denotes Germany's top academic recognition). Active in interdisciplinary projects like LLCon and OSAIC initiatives. Serves as associated scientist under Prof. Möllers' chair, contributing to constitutional law research and academic leadership.

• Crisis Communications
• Sustainability Literacy
• Hospitality Management
• +۳ مورد دیگر

Dr. Laura Zizka is a Professor at the EHL Hospitality Business School, part of the HES-SO university network. She specializes in higher education strategies, crisis communication, and sustainability in hospitality and STEM sectors. Her research bridges academic theory with industry practice, focusing on organizational resilience during crises, digital education transformation post-pandemic, and embedding sustainability literacy in curricula. Education**: BSc HES-SO in Hospitality and Tourism Management Research Themes**: Crisis communication strategies in tourism and hospitality Digital transformation in higher education Pro-environmental behavior in hospitality operations Sustainability integration in STEM and business programs Her work emphasizes bridging educational practices with real-world challenges, such as pandemic communication, stakeholder engagement in sustainability, and employability skills for STEM graduates. Recent studies include analyzing Swiss hoteliers' pandemic communication evolution and exploring AI's role in academic writing through Microsoft Copilot case studies. Grants & Projects**: HES-SO Rectorate-funded project (2019–2020) on destination image and pictorial content impact (CHF 99,000) Longitudinal studies on student/faculty perceptions of digital education (2020–2023) Dr. Zizka collaborates with industry partners like KITRO (food waste tech) and actively contributes to conferences on topics ranging from trauma-informed pedagogy to blended learning models. She advocates for holistic sustainability education and has advised on CSR communication strategies for airlines and hospitality firms.

Oscar Meruvia-Pastorمشاهده پروفایل

استاد

• Interactive 3D Graphics
• Non-Photorealistic Rendering
• Augmented Reality
• +۸ مورد دیگر

Dr. Oscar Meruvia-Pastor is a faculty member in the Department of Computer Science at Memorial University of Newfoundland, within the Faculty of Science. He holds a B.Sc. from ITESM-Monterrey, Mexico, an M.Sc. from the University of Alberta, and a Ph.D. from Otto-von-Guericke Universität Magdeburg, Germany. His research focuses on interactive 3D graphics, non-photorealistic rendering, and biomedical visualization, with applications in telepresence systems, augmented reality (AR), and virtual reality (VR). He has developed tools like OMARC for respiratory condition training and GeNET for gene co-expression network analysis. Dr. Meruvia-Pastor has supervised numerous graduate students and contributed to over 50 publications. His work includes evaluating stereo correspondence methods in AR, robot arm manipulation via depth sensors, and smartphone integration in immersive VR. He has been recognized with awards such as the Best HCI Poster at Graphics Interface 2014 and a semi-finalist poster at SIGGRAPH 2015. He teaches courses in computer science, including computer graphics, multimedia development, and introductory science modules. His research lab focuses on 3D telepresence, medical visualization, and human-centered VR/AR solutions. His academic contributions span software tools for medical imaging analysis, interactive visualization systems, and educational technologies. He actively collaborates with health professionals to advance telemedicine and remote procedural training through AR platforms. His work bridges computer graphics with real-world applications in healthcare, education, and environmental advocacy.

• Water quality monitoring and modeling
• Data-driven prediction modeling
• Bayesian Network modeling
• +۵ مورد دیگر

Dr. Edoardo Bertone is a Senior Lecturer at Griffith University's School of Engineering and Built Environment - Architecture and Design. He holds a PhD in Water Resources Engineering from Griffith University and Bachelor/Master degrees in Civil Engineering from the Polytechnic University of Turin. His research focuses on data-driven modeling, Bayesian Networks, and System Dynamics applied to water resources management, climate change adaptation, and the water-energy nexus. He is affiliated with Griffith's Cities Research Institute and Australian Rivers Institute, collaborating on projects with water utilities, governments, and private entities. Dr. Bertone has received awards such as the 2024 PVC Science Excellence in Teaching and the JSPS Fellowship (2022). He supervises doctoral and master's students in areas like water quality management and climate change impacts. Education: PhD in Engineering (Griffith University, 2015); MEng and BEng in Civil Engineering (Polytechnic University of Turin, 2009-2011). Research Interests: Water quality modeling, drinking water optimization, data-driven prediction, climate change adaptation, and sustainable development goals. He leads over 25 funded research projects, including initiatives on reservoir water quality management in Thailand, real-time nutrient monitoring, and cyanobacteria bloom modeling. Dr. Bertone’s work integrates advanced sensors, machine learning, and Bayesian networks to address environmental challenges. Awards: Listing includes PVC Excellence Awards (2024, 2017), JSPS Fellowship, and recognition as a Rising Star in Queensland Science (2015). Grants & Supervision: Principal supervisor for 10+ doctoral candidates and collaborator on projects funded by Seqwater, CSIRO, and the Ian Potter Foundation. Key grants include $745k for biofertilizer combatting eutrophication and $269k for coagulation optimization models. Dr. Bertone’s contributions extend to urban sustainability, co-editing the book *SeaCities: Urban Tactics for Sea-Level Rise* and developing frameworks for integrating SDGs into architectural education.

• Biomedical Engineering
• Biofabrication
• Tissue Engineering
• +۷ مورد دیگر

Professor Mia Woodruff is a leading academic at Queensland University of Technology (QUT), holding the position of Professor in the School of Mechanical, Medical and Process Engineering within the Faculty of Engineering. She is the Group Leader of the Biofabrication and Tissue Morphology Group and Acting Director of the Herston Biofabrication Institute. Her research focuses on biofabrication, tissue engineering, and 3D printing applications in medicine, particularly in bone regeneration, vascular surgery, and personalized prosthetics. Woodruff holds a PhD in Materials Engineering from the University of Nottingham, UK. She has led over $40 million in external grants, including ARC and Advance Queensland funding. Her work emphasizes translating biofabrication technologies into clinical practice, such as developing patient-specific implants and surgical tools. She has published over 120 peer-reviewed articles and co-founded initiatives like the Herston Biofabrication Institute to bridge clinical, research, and industry collaboration. Key research areas include composite biomaterials, 3D scanning/modelling, electrospinning, and large-animal models for bone regeneration. She has been awarded the QUT Vice Chancellor’s Research Fellowship and ARC Fellowship. Her outreach efforts include promoting STEM through media appearances and school programs, such as the 3D Printing in All High Schools initiative. Grants & Awards $40M Innovation Manufacturing CRC (Co-Investigator) $3.72M ARC Industrial Transformation Training Center (Additive Biomanufacturing) Advance Queensland Fellowships ($1.2M Cluster Grant for Biofabrication) Media & Engagement Featured in SCOPE TV, SBS The Feed , and ABC News Keynote speaker at global conferences (e.g., TERMIS, ORS) Research Infrastructure Herston Biofabrication Institute: Integrates 3D printing, clinical trials, and patient collaboration World-first Biofabrication Master’s program launched in 2014

Shabaz Mohammedمشاهده پروفایل

دانشیار

• Proteomics
• Mass Spectrometry
• Post-translational Modifications
• +۴ مورد دیگر

Shabaz Mohammed is an Associate Professor of Proteomics at the University of Oxford, holding joint appointments in the Departments of Chemistry and Biochemistry. Since 2020, he has served as Head of the Mechanistic Proteomics research programme at the Rosalind Franklin Institute. His research focuses on advancing proteomics technologies to study protein post-translational modifications and their roles in cellular processes, with applications in viral infections and disease mechanisms. Education: BSc in Chemistry, UMIST (now The University of Manchester), 1999 PhD in Biological Mass Spectrometry, University of Manchester, 2003 Postdoctoral Research, University of Southern Denmark (with Ole Jensen), 2005-2008 Postdoctoral Research, Utrecht University (with Albert Heck), 2008 Professor Mohammed's research centers on developing novel mass spectrometry approaches for large-scale characterization of protein post-translational modifications (PTMs). His group innovates in chromatographic techniques for single-cell proteomics, creates materials for PTM enrichment (glycosylation/phosphorylation), and applies these tools to study viral infections (SARS-CoV-2), cell cycle regulation, and signaling pathways. His work bridges chemistry, biochemistry, and cell biology to understand dynamic protein functions in health and disease. His recent publications (2023-2025) demonstrate strong emphasis on viral proteomics, particularly virus-host RNA-binding protein interactions, and innovations in mass spectrometry fragmentation techniques and chromatography. Key themes include viral remodeling of host cells, new labeling strategies for PTMs, and advancements in single-cell proteomics, with significant implications for understanding viral pathogenesis. Scientific Awards: No specific awards or fellowships were detailed in the source material. Advising and Grants: Information regarding graduate students supervised or specific research grants was not provided in the available text. As an active research group leader, Professor Mohammed likely mentors PhD students and secures competitive funding for proteomics research. Laboratories and Collaborations: Professor Mohammed leads a research group at Oxford focused on proteomics technology development. He collaborates extensively with the Ben Davis group on PTM detection materials and across the university on biochemical applications. At the Rosalind Franklin Institute, he heads the Mechanistic Proteomics programme to unravel protein functions through advanced proteomic methods.

• Artificial Intelligence in Healthcare
• Biomedical Engineering
• Traditional Chinese Medicine Informatics
• +۳ مورد دیگر

Dr. Jing Wang is a Professor in the Department of Bioinformatics at Southern Medical University's School of Medicine, with extensive research at the intersection of artificial intelligence and biomedical applications. Her work demonstrates strong cross-disciplinary collaboration across medical institutions, engineering departments, and computer science research groups. Her primary research interests include Artificial Intelligence in Healthcare , Biomedical Engineering , and Traditional Chinese Medicine Informatics , with recent publications showing particular expertise in medical imaging analysis, diagnostic assistance systems, and clinical decision support. Her work spans both theoretical algorithm development and practical clinical implementations. Analysis of her 15 most recent publications (2025-2026) reveals a strong trend toward clinically applicable AI systems, with approximately 60% of publications focused on medical diagnostics and treatment support systems. The remaining publications demonstrate expertise in industrial applications of computer vision and fundamental AI research. Her work shows consistent collaboration with both domestic Chinese institutions and international research groups. Notable scientific contributions include: Development of 'Tianyi', a traditional Chinese medicine language model for clinical practice Innovations in bionic soft robotics for rehabilitation assistance Novel approaches to medical image analysis for cancer diagnostics Her research program appears well-funded with consistent publication output across high-impact journals in biomedical engineering, AI, and medical informatics. Current work suggests strong emphasis on translating AI research into clinical practice, particularly in diagnostic support systems and rehabilitation technology.

Vera Meyerمشاهده پروفایل

استاد

• Biotechnology
• Microbial Genetics
• Fungal Biology
• +۵ مورد دیگر

Prof. Vera Meyer is a Professor in the Department of Applied and Molecular Microbiology at Technische Universität Berlin’s Faculty III - Process Sciences. Her research focuses on optimizing fungal production systems for bioactive compounds, antifungal agents, and secondary metabolites. She leads projects such as the MY-CO SPACE exhibition, exploring fungal-based materials in architecture and sustainability. Notable contributions include work on Aspergillus niger morphology, pyomelanin synthesis for radiation shielding, and co-authoring over 150 publications. Meyer holds patents on fungal biosynthetic processes and collaborates internationally on interdisciplinary bioeconomy initiatives. Contact: vera.meyer@tu-berlin.de . Education details are not explicitly listed, but her career includes leadership roles in TU Berlin’s biotechnology programs and UniCat collaborations. Research emphasizes systems biology approaches to microbial engineering, combining microbiology, mathematics, and engineering for predictive models of cellular processes. Recent projects include the MY-CO SPACE exhibition at Bundeskunsthalle Bonn (2025-2026), showcasing fungal-based construction materials.