جست‌وجوی استاد و پژوهشگر

Megan Laura McCainمشاهده پروفایل

استاد

• Biomedical Engineering
• Tissue Engineering
• Regenerative Medicine
• +۴ مورد دیگر

Megan Laura McCain is a Professor of Biomedical Engineering at the University of Southern California (USC), with a secondary appointment in the Department of Stem Cell Biology and Regenerative Medicine at the Keck School of Medicine. She leads the McCain Lab, focused on developing microphysiological systems, particularly heart- and muscle-on-a-chip models, to study disease mechanisms and therapeutic responses. McCain holds affiliations with the Biomedical Engineering Society, American Society for Cell Biology, and American Heart Association. Her education includes a B.S. in Biomedical Engineering from Washington University in St. Louis (2006), a Ph.D. in Engineering and Applied Sciences from Harvard University (2012), and postdoctoral research at Harvard’s Wyss Institute. Notable awards include the American Heart Association Pre-doctoral Fellowship and Harvard’s Derek Bok Certificate of Distinction in Teaching. McCain’s research integrates tissue engineering, stem cell biology, and microfluidics to model complex biological systems. Her work emphasizes understanding how microenvironments influence cellular behavior in diseases like cardiovascular disorders and muscular dystrophy. Recent studies explore paracrine interactions in engineered tissues, sex-based proteomic differences in vascular cells, and hypoxia-induced signaling in cardiac fibroblasts. Her scientific contributions include advancements in 3D bioprinting, microfluidic platforms for disease modeling, and synthetic biology tools for cellular control. McCain’s lab collaborates widely to translate findings into clinical applications, such as personalized medicine and regenerative therapies.

Mark McQuillingمشاهده پروفایل

دانشیار

• Experimental Fluid Mechanics
• Low Reynolds Number Flows
• Laminar-to-Turbulent Transition
• +۴ مورد دیگر

Mark McQuilling is an Associate Professor of Aerospace and Mechanical Engineering at Saint Louis University's School of Science and Engineering. He holds a Ph.D. in Engineering from Wright State University, alongside M.S. and B.S. degrees in Mechanical Engineering from the University of Kentucky. His research focuses on experimental fluid mechanics, low Reynolds number flows, laminar-to-turbulent transition, airfoil design, unsteady aerodynamics (turbomachinery and airdrop systems), bio-fluid flows, and flow control. His work integrates advanced fluid dynamics techniques with practical applications in aerospace and biomedical engineering. Dr. McQuilling oversees the Fluid Systems Laboratory, which includes subsonic and supersonic wind tunnels, a water tunnel, and thermal system facilities. These labs support undergraduate and graduate research, with capabilities such as Laser Doppler Velocimetry, DPIV systems, and strain gauge balances. His thermal research spans micro-scale fluid phenomena to planetary atmospheric modeling, including studies on Uranus/Neptune vortex dynamics and airdrop parachute aerodynamics. Highlighted research areas include low-pressure turbine blade aerodynamics, parachute drag prediction, and bio-fluid studies like pharyngeal airflow analysis in sleep apnea patients. His peer-reviewed publications (over 20 entries) address topics ranging from micro-air vehicle wing design to thermal management in turbine blades. McQuilling is active in professional organizations like AIAA, ASME, and ASEE, and previously worked at the Air Force Research Laboratory. His email is mark.mcquilling@slu.edu.

Joo Heung Yoonمشاهده پروفایل

استادیار

• Machine Learning in Medicine
• Critical Care Medicine
• Hemodynamic Monitoring and Prediction
• +۳ مورد دیگر

Joo Heung Yoon, MD is an Assistant Professor of Medicine in the Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine at the University of Pittsburgh School of Medicine. His research develops machine learning models for predicting hemodynamic instability in critical care settings, with applications extending to space medicine environments. His educational background includes: MD from Catholic University of Korea, Seoul, South Korea (2002) Internal Medicine Internship at Maimonides Medical Center - SUNY Downstate (2007) Internal Medicine Residency at New York Medical College (2009) Research Fellowship at Massachusetts General Hospital / Harvard Medical School (2011) Research Fellowship at Beth Israel Deaconess Medical Center / Harvard Medical School (2014) Fellowship in Pulmonary and Critical Care Medicine at University of Pittsburgh School of Medicine (2017) Dr. Yoon specializes in identifying hidden pathologic patterns through machine learning, developing prediction models for shock, hemorrhage, and tachycardia using large-scale clinical data. His work bridges critical care medicine with AI, focusing on real-world ICU implementation through alert systems and user interfaces. He actively explores microgravity applications, aiming to create feasible prediction algorithms for resource-constrained space missions where timely high-stake decisions are critical. His publication trend (2018-2020) reveals consistent advancement in hemodynamic prediction models, transitioning from theoretical frameworks to practical implementation strategies. These works integrate supervised ML and deep neural networks to address circulatory shock, hemorrhage identification, and instability surrogates, demonstrating strong interdisciplinary collaboration between clinical medicine and engineering. Notable awards include: SCCM Gold Snapshot Award (2019) ATS Abstract Award (2018) Excellence in Clinical Service Award (2010) Partners in Excellence Award (2009) Richard D. Levere Teaching Award (2008) As Principal Investigator for NIH K23 grant GM138984 (2020-2025), Dr. Yoon leads research on machine learning-driven shock prediction models. He mentors medical students and house staff daily in the ICU, specializing in cardiopulmonary physiology teaching. His grant portfolio focuses on therapeutic strategies for circulatory shock in critically-ill patients, with strong industry-academic partnerships. Based at UPMC Montefiore, Dr. Yoon collaborates with Carnegie Mellon University's Machine Learning School and Pitt Engineering to develop clinical decision support systems. His team is designing graphic user interfaces for spaceflight applications where resource limitations demand highly efficient predictive analytics for hemodynamic crises.

Smitha Vishveshwaraمشاهده پروفایل

استاد

• Quantum Condensed Matter Theory
• Strongly Correlated Systems
• Low-Dimensional Physics
• +۸ مورد دیگر

Smitha Vishveshwara is a Professor in the Department of Physics at the University of Illinois at Urbana-Champaign. She holds affiliations with the university’s Materials Research Laboratory and Beckman Institute. Her interdisciplinary work bridges quantum condensed matter theory, biophysics, and artistic expression. PhD in Theoretical Physics (University of California, Santa Barbara, 2002) Postdoctoral Researcher (2002–2005) in the Department of Physics at UIUC Her research focuses on quantum systems, including: Strongly correlated systems in low dimensions (Luttinger liquids, induced superconductivity in nanotubes) Topological order and Majorana fermions in superconductors Quench dynamics in spin chains and optical lattices Microgravity Bose-Einstein condensates and quantum bubbles Biophysics applications (protein networks via percolation theory) Gravitational parallels in quantum Hall systems Recent publications reveal trends in quantum Hall interferometry, Majorana detection schemes, and microgravity condensate dynamics. Awards include the NSF CAREER Award, Simons Fellowship, and APS Fellowship. She teaches courses like “Where the Arts Meets Physics” and has co-created art-science projects such as Quantum Voyages and Quantum Rhapsodies .

Oliver Staadtمشاهده پروفایل

استاد

• Virtual Reality
• Augmented Reality
• Computer Graphics
• +۷ مورد دیگر

Prof. Dr. sc. techn. ETH Oliver Staadt is Full Professor of Computer Science and Chair of Visual Computing at the University of Rostock , Germany. Since 2023 he also serves as Director of the Institute for Visual and Analytic Computing within the Faculty of Computer Science and Electrical Engineering . Previously he was Dean (2016–2018) and Vice Dean (2010–2016) of the same faculty. Education Ph.D. in Computer Science, ETH Zürich (2001) M.Sc. in Computer Science, TU Darmstadt (1994) Research Interests Prof. Staadt’s research spans virtual and augmented reality , computer graphics , visualization , telepresence , immersive analytics , and human–computer interaction . A particular focus lies on real-time rendering and display technologies for large high-resolution display systems, depth-image enhancement for RGB-D sensors, and interaction techniques that leverage spatial cognition and eye-tracking. His work is frequently applied to collaborative settings and microgravity environments, including experiments aboard parabolic flights and the International Space Station. Recent Publication Trends Between 2019 and 2021 his output centers on foveated rendering , AR viewpoint guidance , collaborative analytics on wall-sized displays , and embodied interaction metaphors . Earlier work addressed bandwidth-efficient telepresence, depth-image filtering, and physically-based animation. The corpus reveals a steady evolution from fundamental graphics algorithms toward applied immersive systems. Scientific Awards & Honors Fellow of the Eurographics Association Associate Editor, IEEE Transactions on Visualization and Computer Graphics (past) Associate Editor, Computers & Graphics (past) Associate Editor, Computer Animation and Virtual Worlds (past) Associate Editor, Frontiers in Virtual Reality (current) Chair, Expert Group on Virtual & Augmented Reality, German Informatics Society (2013–2020) Advising & Funding He has successfully supervised more than ten PhD graduates whose dissertations range from collision detection and physically-based animation to 3D interaction in microgravity and predictive user modeling. Current PhD researchers include Bipul Mohanto, Mana Takhsha, and Sven Kluge. His projects are supported by national and EU programs such as EVOCATION, SMOOTH, ARGuide, 3DPick, DIVA, and Telepresence. Labs & Teams Prof. Staadt leads the Visual Computing Group at Rostock, operating state-of-the-art facilities including large tiled display walls, VR/AR laboratories, and motion-capture systems. The institute hosts interdisciplinary collaborations with partners in visualization, computer vision, psychology, and aerospace engineering.

• Zoology
• Tardigrade Biology
• Anhydrobiosis
• +۴ مورد دیگر

Lorena REBECCHI is a Full Professor in the Department of Life Sciences at the University of Modena and Reggio Emilia. Her research focuses on tardigrade biology, particularly their survival mechanisms under extreme conditions such as desiccation, temperature extremes, and radiation. She explores phylogenetic relationships, symbiotic microbiota, and evolutionary adaptations of these organisms. REBECCHI's work integrates morphological, molecular, and physiological approaches, contributing to understanding anhydrobiosis, stress responses, and tardigrade ecology. Key research areas include tardigrade phylogeny (e.g., resolving their position within Panarthropoda), environmental adaptations (e.g., thermal tolerance and acid resistance), and astrobiology applications (e.g., space flight experiments). She has described multiple new species and revised taxonomic classifications within Tardigrada. REBECCHI collaborates internationally, evidenced by conferences like the 2024 IADCI meeting hosted at her institution. Publications emphasize comparative transcriptomics, symbiont evolution, and the structural basis of tardigrade feeding mechanisms. Her lab's work on Antarctic tardigrades highlights climate change impacts and genetic diversity. REBECCHI's research has practical applications in biotechnology (e.g., space food systems) and environmental monitoring.

Deok-Ho Kimمشاهده پروفایل

استاد

• Stem cell engineering
• Tissue engineering
• Organs-on-chips
• +۷ مورد دیگر

Deok-Ho Kim, PhD, is a Professor in the Department of Biomedical Engineering at Johns Hopkins University. His research focuses on integrating nanotechnology, biomaterials, and mechanobiology to advance tissue engineering, regenerative medicine, and disease modeling. Key areas include stem cell engineering, organs-on-chips, and bio-inspired materials for drug screening and cell-based therapies. Education: PhD in Biomedical Engineering from Johns Hopkins University (2010), MS in Mechanical Engineering from Seoul National University (2000), and BS in Mechanical Engineering from POSTECH (1998). Research emphasizes understanding how mechanical and biochemical signals regulate cell behavior in health and disease. Notable work includes microphysiological systems (MPS) for precision medicine, spaceflight effects on cardiac function, and engineered heart tissue models. Recent studies highlighted the impact of microgravity on heart cells and the role of LOXL2 in hypertension. Laboratory: Kim Lab develops cutting-edge tools like nanopatterned electrodes and biomimetic substrates. Collaborations span academia and industry, with media features in Scientific American and coverage of heart-on-a-chip studies in space. Grants and Funding: Active in securing federal and foundation grants for tissue engineering and biomaterials research. Advising: No formal student list provided, but mentors trainees in multidisciplinary approaches.

Jose D'Incaoمشاهده پروفایل

عضو هیئت علمی

• Ultracold Quantum Gases
• Efimov Physics
• Few-Body Systems
• +۳ مورد دیگر

Jose D'Incao is an Associate Research Professor at the University of Colorado Boulder and an Associate Fellow at JILA, a joint institute of the National Institute of Standards and Technology (NIST) and the University of Colorado. His research focuses on ultracold atomic systems, particularly the study of few-body correlations in atomic systems at ultracold temperatures, including Efimov physics and quantum dynamics in Bose-Einstein condensates. His work addresses fundamental challenges in atomic, molecular, and nuclear physics, with applications to quantum control and novel phases of matter. His research interests include the theoretical analysis of three-body recombination processes, universal few-body physics in spinor condensates, and the interplay between coherence and dissipation in ultracold gases. He has contributed to understanding the generalized Efimov effect in one and two dimensions and explored dynamics in systems such as hybrid ion-atom mixtures and optical lattices. Key projects include studies of Efimov states via Feshbach resonances, light-assisted collisions in optical tweezers, and precision measurements of many-body interactions in microgravity. His work often involves collaboration with experimental groups to bridge theoretical predictions with advancements in cold atom technologies. Jose D'Incao has received funding from the National Science Foundation (NSF) and the Binational Science Foundation (BSF) for projects exploring universality in few-body systems and coherent control of Efimov physics. His research has implications for precision metrology, quantum simulation, and the development of novel quantum technologies.

Onur G. Apulمشاهده پروفایل

دانشیار

• Nanotechnology in Water Treatment
• Environmental Engineering
• PFAS Remediation
• +۳ مورد دیگر

Dr. Onur G. Apul is an Associate Professor of Civil and Environmental Engineering at the University of Maine and an incoming faculty member at Penn State. He holds a Ph.D. from Clemson University (2014) and bachelor's/master's degrees from Middle East Technical University (Turkey). His research focuses on nanotechnology-driven solutions for water treatment challenges, particularly PFAS and microplastics pollution. He leads the Apul Research Group, which explores advanced oxidation processes, nanomaterials, and nanobubble technologies. Key achievements include developing predictive models for PFAS adsorption, thermal regeneration of activated carbon, and microwave-enhanced remediation. Education: Ph.D. in Environmental Engineering and Science, Clemson University (2014) M.S. in Environmental Engineering, Middle East Technical University (2009) B.S. in Environmental Engineering, Middle East Technical University (2006) Research Interests: Nanomaterials for water treatment (graphene, CNTs) PFAS remediation and thermal regeneration of adsorbents Microplastic pollution dynamics and mitigation Nanobubble-enhanced oxygen transfer in aquaculture Sustainable engineering solutions for emerging contaminants Awards: 2023 Early Career Research Recognition, Maine College of Engineering and Computing Lab & Team: The Apul Research Group includes postdocs, graduate students, and undergraduates working on projects like PFAS lifecycle analysis, nanobubble applications, and space-based water treatment. Notable collaborations include Yale University, Arizona State University, and Penn State.

Rodrigo Fernandez Gonzaloمشاهده پروفایل

دانشیار

• Physiology
• Skeletal Muscle Physiology
• Space Physiology
• +۶ مورد دیگر

Rodrigo Fernandez Gonzalo is a Docent (Associate Professor) in Physiology and Principal Researcher at the Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet. He leads the Space and Environmental Physiology research group focusing on skeletal muscle adaptation under various conditions including microgravity, aging, disease, and exercise. His research interests span skeletal muscle physiology, space physiology, and environmental physiology, with particular expertise in how skeletal muscle interacts with other physiological systems. His work employs diverse methodologies including human clinical studies, animal models, and cellular models to investigate functional, metabolic, morphological, molecular, and neural adaptations. Analysis of his recent publications reveals a strong focus on space physiology applications, particularly how microgravity affects skeletal muscle and immune systems, along with translational applications for clinical populations like those with cerebral palsy. His research integrates molecular analysis, imaging techniques, and physical performance outcomes to develop countermeasures for spaceflight effects. 4.5 MSEK funding from the Swedish National Space Agency (2020) Member of European Space Agency's Life Science Working Group (2022-2026) Member of Space Researchers Sweden (2021-) Dr. Fernandez Gonzalo serves as course responsible for Anatomy and Physiology in the nursing program (since 2018) and Advanced Human Physiology Research in the Master's programme in Translational Physiology and Pharmacology (since 2023). He also teaches Human Spaceflight at KTH and participates in the Erasmus Mundus Joint Master in Physiology and Medicine of Humans in Space and Extreme Environments. His laboratory utilizes facilities at Karolinska University Hospital and ANA Futura for human, animal, and cellular studies investigating space exposome effects.

Florian Zaussingerمشاهده پروفایل

استاد

• Thermal Convection
• Fluid Dynamics
• Astrophysics
• +۶ مورد دیگر

Prof. Florian Zaussinger is a faculty member at the Faculty of Applied Computer and Life Sciences at Mittweida University of Applied Sciences. His research focuses on thermal convection, fluid dynamics, and numerical simulations in both geophysical and astrophysical contexts. He has contributed extensively to studies on microgravity experiments, including the GeoFlow and AtmoFlow projects conducted on the International Space Station (ISS). University: Mittweida University of Applied Sciences Faculty: Applied Computer and Life Sciences Department: Mathematics Contact: +49 3727 58-1381 | florian.zaussinger@hs-mittweida.de | Building 6, Room 6-131 His research involves advanced numerical modeling of complex fluid systems, including spherical convection, dielectric heating, and double-diffusive processes. He has developed and applied computational tools like the ANTARES code to simulate convection in DA white dwarfs, planetary atmospheres, and Earth's mantle. His work bridges theoretical fluid mechanics with experimental validation in space-based microgravity environments. Recent publications highlight his expertise in thermo-electrohydrodynamic convection, planetary fluid flow analysis, and microgravity-induced instabilities. While the scraped data does not list scientific awards or students directly, his academic profile emphasizes interdisciplinary collaboration with engineering and life sciences, particularly in applied mathematics for fluid dynamics and experimental data processing.

Andrea Pickelمشاهده پروفایل

استادیار

• Nanoscale Heat Transfer
• Luminescence Nanothermometry
• Super-Resolution Imaging
• +۷ مورد دیگر

Andrea Pickel is an Assistant Professor at the University of Rochester, holding joint appointments in the Department of Mechanical Engineering, Materials Science, and the Institute of Optics, while also serving as a Scientist at the Laboratory for Laser Energetics (LLE). She received her PhD in Mechanical Engineering from UC Berkeley (2019) and a BS from Carnegie Mellon University (2014). Her research focuses on nanoscale heat transfer, leveraging luminescent materials and super-resolution imaging to address challenges in thermal management, catalysis, and energy systems. Education: PhD, Mechanical Engineering, UC Berkeley, 2019 BS, Mechanical Engineering, Carnegie Mellon University, 2014 Research interests include luminescence nanothermometry, single-nanoparticle imaging, and high-temperature thermal metrology. Her work integrates experimental methods like stimulated emission depletion (STED) imaging and operando spectroscopy to advance understanding of energy transport at the nanoscale. Notable awards include the NSF CAREER Award (2022), ACS PRF Doctoral New Investigator Award (2020), and Furth Fund Award (2021). She was also named a Scialog Fellow in 2024. Advancing thermal measurement techniques, her group collaborates across disciplines to tackle applications in carbon capture, battery technology, and plasmonic photocatalysis. Current projects emphasize developing dual-mode sensing tools for real-time thermal and chemical monitoring. Labs/Teams: Active at the Laboratory for Laser Energetics (LLE) and leads the Pickel Research Group in the Department of Mechanical Engineering.

David Lozinskiمشاهده پروفایل

دانشیار

• Combustion Science
• Fluid Dynamics
• Financial Mathematics
• +۳ مورد دیگر

David Lozinski is an Associate Professor in the Department of Mathematics and Statistics at McMaster University, Faculty of Science. His research spans combustion science, fluid dynamics, and financial mathematics. He has published extensively on topics like smoldering combustion, flame stability, and quantitative risk modeling. Teaching responsibilities include courses on risk management, actuarial mathematics, financial markets, and applied statistics. Research interests combine theoretical and applied mathematics with practical applications in combustion engineering and financial systems. Key contributions include studies on reverse smoldering mechanisms (1995), vapor diffusion flames (1995), and modern financial risk models (2024). Teaching spans undergraduate and graduate programs, covering mathematical finance, probability, and statistical inference. No scientific awards are listed in the profile. Active in curriculum development for financial mathematics programs, instructing courses like MFM 714 (Risk Management) since 2025 and STATS 3G03 (Actuarial Mathematics I) since 2024.

Andrew Bisharaمشاهده پروفایل

استادیار

• Machine Learning in Healthcare
• Artificial Intelligence in Clinical Decision Support
• Perioperative Medicine
• +۱۲ مورد دیگر

Andrew Bishara, MD, is an Assistant Professor in Residence in the Department of Anesthesiology within the School of Medicine at the University of California, San Francisco (UCSF). He is affiliated with multiple UCSF clinical sites, including Mission Bay, Mount Zion, and Parnassus, and is actively involved in the AI Clinical Innovation Lab, Transplant Anesthesia Research Group, and POCCO (PeriOperative Cardiac Complications Observatory). His clinical practice as an anesthesiologist is deeply integrated with his research in machine learning and artificial intelligence for perioperative care. Dr. Bishara's educational background includes a BSE in Mechanical Engineering from MIT (2009), an MD from Harvard Medical School (2014), and a D.ABA. in Anesthesiology from UCSF (2019). He also completed specialized training in Medical Informatics and Artificial Intelligence through the Bakar Computational Health Sciences Institute (2020) and a Diversity, Equity, and Inclusion Champion program at UCSF (2022). His research focuses on developing and validating machine learning models to predict and prevent surgical complications such as acute kidney injury, postoperative delirium, pain, and blood loss in real time. He emphasizes creating clinically usable models and improving AI-human interfaces for seamless integration into clinical workflows. His work also explores gender-based disparities in coronary artery disease diagnosis using EHR data analytics. His recent publications demonstrate expertise in AI quality improvement, model implementation in acute care, and predictive modeling across diverse surgical and critical care domains. He co-founded Bezel Health, a company focused on healthcare quality measurement, reflecting his commitment to translating research into real-world impact. Clinical Artificial Intelligence Quality Improvement Real-time Risk Assessment in Surgery AI Integration in Anesthesia Gender Disparities in Cardiac Care Transplant Anesthesia Research Regulatory Aspects of AI in Medicine Dr. Bishara is actively engaged in advancing perioperative medicine through innovation in data science and AI, with a strong emphasis on improving patient outcomes, equity, and clinical workflow efficiency.

Nathanial Wigginsمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Mixed Reality
• Complex Dynamical Systems
• +۶ مورد دیگر

Dr. Nathanial Wiggins is a Senior Lecturer at the University of Houston in the Department of Industrial and Systems Engineering, with additional roles as Distinguished Professor of Engineering and Mathematics at San Jacinto College and Adjunct Professor of Mathematics at University of Houston - Clear Lake. He is affiliated with the Institute of Electrical and Electronics Engineers (IEEE) and the American Society for Engineering Education (ASEE). Ph.D. in Systems and Engineering Management, Texas Tech University M.S. in Mathematical Science, University of Houston – Clear Lake B.S. in Mathematics and Russian Studies, University of Colorado, Boulder Dr. Wiggins' research focuses on artificial intelligence, mixed reality, and complex dynamical systems. He develops systems that scaffold knowledge from repetition to utilization, particularly in neural networks and intelligent infrastructure. His work intersects with aerospace, oil and gas, and defense industries, emphasizing student-driven projects and collaborative learning frameworks. His publications span mixed reality applications in education, swarm robotics for Mars exploration, neural network methodologies, and aerospace systems like microgravity flame suppression and battery cooling. Keywords include AI, computer science, and engineering education, with sub-fields like neural networks and systems integration. SJC Gold Level Honoraria, Institutional Impact Award, 2019 IEEE CCWC Best Speaker Award, Las Vegas, 2019 Roueche Excellence Award, League for Innovations, 2013 NISOD Award, Community College Organization, 2013 Edu-STEM Award, Texas Space Grant Consortium, 2012 NASA Microgravity University recognition, 2012 Dr. Wiggins leads grants including NSF Bridges to STEM Careers and NASA collaborations (Swarmathon, Microgravity University). He founded the Artificial Intelligence Technology Labs, integrating peer mentoring and hands-on research to enhance STEM education.