جست‌وجوی استاد و پژوهشگر

Paul Kwanمشاهده پروفایل

دانشیار

• Prostate Cancer Research
• Medical Education
• Pathology
• +۶ مورد دیگر

Paul Kwan is an Associate Professor in the Department of Medical Education at Tufts University School of Medicine. He joined Tufts in 1975 after earning his Ph.D. from Clark University and has held various roles, including Research Assistant Professor in Pathology, Integrative Physiology and Pathobiology, and Immunology. He currently teaches full-time and serves as course director for Clinical Anatomy (Tufts University School of Dental Medicine) and Basic Human Pathology (Master’s in Biomedical Sciences Program). Doctor of Philosophy, Clark University (1975) Master of Arts, Clark University (1971) Bachelor of Science, University of Maryland (1966) Dr. Kwan’s research focuses on prostate cancer mechanisms, including androgen receptor dynamics, hormonal influences on neoplasia, and nutritional interventions like curcumin and vitamin E in cardiovascular and metabolic diseases. His work spans animal models, immunohistochemistry, and translational studies. Recent publications highlight curcumin’s role in ameliorating atherosclerosis and steatohepatosis, vitamin E’s impact on macrophage activity in hypercholesterolemic models, and mechanistic studies on prostate cancer progression. These reflect interdisciplinary interests in oncology, medical physiology, and nutritional science. Tufts Teaching with Technology Award (2021) Dean’s Award for Excellence in Basic Science Teaching (2016) He has taught courses such as Medical Histology, Basic Human Pathology, and Clinical Anatomy since the 1980s, with current appointments at Tufts University School of Medicine and School of Dental Medicine. His affiliations also include Tufts Medical Center (1975–2015) as Special and Scientific Staff.

Pablo Sanchez Olivaresمشاهده پروفایل

استادیار

• Antenna Design
• Antenna Manufacturing
• Antenna Measurement
• +۴ مورد دیگر

Pablo Sanchez Olivares is an Assistant Professor at the Polytechnic University of Madrid (UPM) since 2019. Previously, he served as an Adjunct Professor at the Universidad Autónoma de Madrid (UAM) and a Postdoctoral Researcher Associate at the Universidad de Alcalá de Henares (UAH) from 2018 to 2019. He holds a Telecommunication Engineering degree (2011) and a PhD (2018), both from UAM. His research focuses on antenna systems, including design, manufacturing, and measurement of planar array antennas, phased arrays, and waveguide antennas. He has co-authored over 30 publications in journals and conferences, such as the 2021 IEEE Access paper on Ka Band phased arrays. Affiliated with the LEHA research group, he contributes to projects like 5G antenna materials and microwave holography for radio telescopes. No scientific awards are explicitly mentioned in the text. His advising and grant activities remain unspecified.

• Emergency Medicine Education
• Medical Education
• Physician Assistant Training
• +۵ مورد دیگر

Thomas Morris is a Staff Affiliate in Emergency Medicine Education & Training at Yale University's Yale School of Medicine. He holds a Master of Science from Southern Connecticut State University (2000) and a Physician Assistant degree from Barry University (2002). He is board-certified as a Physician Assistant by the National Commission on Certification of Physician Assistants (2003). His work bridges medical education, particularly in emergency medicine and physician assistant training, with advanced research in astrophysics and cosmology. His technical expertise spans beamline alignment automation, machine learning tools for astronomical data processing, and cosmological parameter estimation using large-scale telescope data. He has contributed to projects like the Atacama Cosmology Telescope (ACT) and the development of simulators for millimeter/submillimeter observatories such as AtLAST. His research interests include optimizing observational techniques in astronomy, improving data fidelity through Bayesian algorithms, and advancing instrumentation for next-generation telescopes. Notable recent work focuses on atmospheric emission modeling at high-altitude sites, component-separated sky maps, and autonomous beamline alignment systems. His interdisciplinary approach combines medical education with cutting-edge astrophysical research, reflecting his dual role in academic and technical spheres. Education: MS (2000) Southern Connecticut State University; PA (2002) Barry University Affiliations: Yale School of Medicine, Emergency Medicine Department Technical Contributions: Machine learning for telescope data, beamline automation, cosmological parameter analysis Key Projects: Atacama Cosmology Telescope (ACT) DR6 data analysis, AtLAST telescope simulations

• Biomaterials
• Nanocellulose Applications
• Hydrogel Development
• +۴ مورد دیگر

Jenni Leppiniemi is a Research Fellow in Biosciences, specializing in biomaterials and sustainable nanotechnology. Her work bridges cellulose science and biomedical applications, with expertise in hydrogel design, nanocellulose processing, and 3D bioprinting technologies. Research explores functional biomaterials for tissue engineering and diagnostics, emphasizing: Avidin-biotin conjugation systems for modular scaffolds Microwave-assisted green extraction of nanocellulose Thermoresponsive hydrogels for controlled cell growth Recent publications demonstrate innovation in sustainable material processing and 3D culture platforms. Trends include increased focus on circular economy approaches for biomaterial sourcing and translational applications in regenerative medicine. Laboratory involvement includes collaborative projects on seaweed-based nanocellulose and poly(N-isopropylacrylamide) composites at the University of Helsinki.

• Environmental Engineering
• Waste Management
• Biotechnology
• +۳ مورد دیگر

Salvatore Nicosia is affiliated with the University of Palermo's Department of Civil, Environmental and Mechanical Engineering. His research focuses on environmental engineering with particular emphasis on waste management technologies, landfill biogas modeling, and sustainable resource recovery strategies. He has conducted extensive work on municipal solid waste treatment, medical waste sterilization, and marine wastewater processing. His multidisciplinary approach integrates chemical engineering principles with environmental microbiology, addressing both technical and ecological aspects of waste valorization. Key research areas include: (1) development of mathematical models for landfill gas dynamics, (2) optimization of membrane bioreactor systems through surfactant studies, (3) microwave-assisted waste pyrolysis for energy recovery, (4) characterization of healthcare waste production patterns, and (5) assessment of environmental impacts from landfill operations. His work frequently involves collaboration with industrial partners and public institutions in Sicily and Italy. Nicosia has contributed to over 30 peer-reviewed publications since 2002, focusing on innovative solutions for environmental challenges in urban and industrial contexts. His research has been applied to coastal zone management, hospital waste management systems, and sustainable urban planning strategies.

Xiangyang Meiمشاهده پروفایل

استادیار

• Advanced Radiation Therapy Techniques
• Medical Physics Education
• Quality Assurance in Radiation Oncology
• +۳ مورد دیگر

Dr. Xiangyang Mei is an Assistant Professor specializing in Radiation Oncology and Medical Physics. His clinical interests include advanced radiation therapy techniques such as Image Guided Radiation Therapy (IGRT), Intensity Modulated Radiation Therapy (IMRT), Volume Modulated Arc Therapy (VMAT), Stereotactic Ablative Radiation Therapy (SABR), High Dose Rate (HDR) Brachytherapy, and Orthovoltage X-Ray Radiation Therapy. He focuses on improving quality assurance processes for safe and accurate radiation delivery. In education, Dr. Mei emphasizes training medical physics and radiation oncology residents, as well as teaching undergraduate and graduate students in medical physics. His research explores novel HDR Brachytherapy methods and the implementation of advanced external beam radiation therapy techniques. He also investigates new quality assurance protocols and their impact on clinical outcomes. Dr. Mei’s academic contributions span remote sensing and geoinformatics, with publications addressing climate change, urbanization, and environmental monitoring using satellite data. His methodologies often integrate machine learning, deep learning, and spatial analysis to solve complex problems in health, ecology, and urban planning. His work demonstrates interdisciplinary collaboration across medical physics, environmental science, and data science, with a focus on advancing both clinical practices and geospatial technologies.

Edgardo Farinasمشاهده پروفایل

دانشیار

• Biochemistry
• Protein Engineering
• Nanotechnology
• +۴ مورد دیگر

Edgardo Farinas is an Associate Professor in the Department of Chemistry and Environmental Science at New Jersey Institute of Technology (NJIT). He previously served as Chair of the department from 2012 to 2017, and held faculty roles since 2004. His research focuses on protein engineering, nanotechnology, and biocatalysis, with applications in environmental remediation, biomedical materials, and enzyme design. Farinas earned his Ph.D. in Chemistry from the University of California, Santa Cruz (1997), and B.S. in Chemistry from Loyola University Chicago (1990). He conducted postdoctoral work at the University of Texas at Austin, California Institute of Technology, and Yale University. His laboratory develops innovative technologies such as Bacillus subtilis spore display systems for protein engineering, antiviral nanomaterials, and augmented reality tools for macromolecular visualization. Notable projects include designing carbon nanotube-based water purification membranes and engineering enzymes for enhanced stability and specificity. Research themes span biocatalytic systems, nanomaterials for environmental applications, and directed evolution techniques. His work bridges fundamental biochemistry with practical applications in medicine, sustainability, and education. The Farinas Laboratory website (https://sites.google.com/njit.edu/farinaslaboratory) provides further details on ongoing projects and collaborations.

Rashmi Gangasa Walvekarمشاهده پروفایل

مدرس

• Nanomaterials
• Energy Storage
• Waste Recycling
• +۵ مورد دیگر

Dr. Rashmi Gangasa Walvekar is a Lecturer in Chemical and Process Engineering at the University of Strathclyde, UK. She holds a Doctorate in Engineering from the International Islamic University Malaysia (2011), with prior academic qualifications from Universiti Putra Malaysia (2007) and SDM College of Engineering and Technology (2004). Her research focuses on sustainable engineering through advanced materials like graphene, MXene, and nanofluids, addressing challenges in energy storage, waste recycling, and thermal management. She has held senior roles including Associate Professor and Head of Postgraduate Studies at Taylor's University (2023–2024), and Advisor for Chemical Engineering Design Projects at Xiamen University (2020–2023). Her key research interests include nanomaterial synthesis for energy storage systems, development of eco-friendly lubricants, and innovative waste-to-resource technologies such as lithium battery component extraction using deep eutectic solvents. Recent projects involve enhancing thermal energy storage via MXene-enhanced eutectic mixtures and promoting circular economy through plastic and tire recycling. Walvekar actively participates in interdisciplinary initiatives like the EPSRC Strategic Themes workshops on sustainable materials and manufacturing (2024–2025). She supervises PhD students in areas like microwave-assisted battery material extraction and solar energy storage systems doped with hybrid nanomaterials.

• AI-driven electronic design
• Machine Learning
• Optimization techniques
• +۵ مورد دیگر

Bo Liu is a Professor of Electronic Design Automation at the University of Glasgow, specializing in AI-driven electronic design. He holds a B.Eng. from Tsinghua University (2008) and a Ph.D. from KU Leuven (2012). Previously, he was a Humboldt Research Fellow (2012–2013), Lecturer at Wrexham Glyndŵr University (2013–2020), and promoted to Reader (Associate Professor) in 2016 before joining Glasgow in 2020. Research focuses on AI-driven methodologies for analog ICs, antennas, and microwave systems. Key contributions include pioneering AI-assisted optimization in RF design and first industrial-use AI tools for mm-wave ICs. His work bridges machine learning and domain knowledge, addressing bottlenecks in electromagnetic simulations and antenna design complexity. He leads the AIDAC lab and collaborates with industry on EDA tools. Scientific awards include Fellow of IET and Senior Member of IEEE. He serves as an associate editor for IEEE Transactions on CAD and Complex and Intelligent Systems. Current research explores AI-driven design tools, including funded PhD projects on microwave filters, analog IC optimization, and 5G antennas.

Zoe Courvilleمشاهده پروفایل

استادیار مدعو

• Mass transport in porous media
• Firn microstructure characterization
• Polar field work
• +۳ مورد دیگر

Zoe Courville is an Adjunct Assistant Professor of Engineering at Dartmouth College's Thayer School of Engineering and a Research Mechanical Engineer at CRREL (Cold Regions Research and Engineering Laboratory). Her research focuses on mass transport in porous media, firn microstructure, and polar fieldwork in Antarctica. She holds a BS in Mechanical Engineering from the University of Denver (1998), an MS in Engineering Sciences from Dartmouth (2002), and a PhD in Engineering Sciences from Dartmouth (2008). Her work spans interdisciplinary applications of engineering principles to glaciology and climate science. Notable research includes lattice-Boltzmann modeling of firn air permeability, mechanisms of sea ice melt pond formation, and snow sublimation dynamics. She has conducted extensive fieldwork in polar regions, including Greenland and Antarctica. Courville has served as a reviewer for journals like the Journal of Glaciology and The Cryosphere, and is a member of the American Geophysical Union. Her publications reflect a strong focus on bridging computational modeling with field observations to advance understanding of cryospheric processes and climate change impacts.

• Food Drying
• Bio-transport
• Multiphysics Modelling
• +۳ مورد دیگر

Dr. Mohammad Joardder is a Postdoctoral Research Fellow at Queensland University of Technology (QUT), affiliated with the School of Mechanical, Medical & Process Engineering. He holds a PhD from QUT (2016) and a BSc from another institution. His research focuses on bio-transport, innovative food drying techniques, computational modeling of food processing, and renewable energy applications. He emphasizes multiphysics-multiscale transport phenomena and porous biomaterials' deformation. His work spans 47+ peer-reviewed articles, 6 book chapters, and 4 authored books with Springer-Nature and CRC Press. Notable achievements include a Field Weighted Citation Impact of 2.2 and a high citation rate, reflecting global leadership in drying and microwave heating research. He actively reviews for top journals like Nature, Springer, and Elsevier. Research interests include food microstructure analysis, renewable energy integration in food processing, and advanced computational methods. His recent articles (2022–2025) explore shrinkage kinetics in plant-based foods, CFD-driven drying models, and microwave-assisted food processing innovations. He is currently accepting PhD/Master’s students in drying technology, thermal systems, and food material science.

• Microwave Imaging
• Biomedical Engineering
• Medical Devices
• +۴ مورد دیگر

Dr. Tuba Yilmaz Abdolsaheb is an Assistant Professor and Marie Skłodowska-Curie Research Fellow in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU). Her research focuses on microwave imaging, hyperthermia cancer treatment, and dielectric spectroscopy for medical diagnostics. She leads projects such as the MIDxPRO initiative for breast cancer diagnosis using open-ended coaxial probes and has secured grants including a €157,845 Marie Curie Fellowship (2017–2019) and a TÜBİTAK 1003 grant for hyperthermia device development (2018–2021). Her work spans antenna design for biomedical applications, wireless power transfer optimization, and tissue characterization. Notable contributions include microwave-based classification of hepatic anomalies, in vivo dielectric property measurements of rat tissues, and development of wearable sensors for vital signs monitoring. Awards include the URSI Young Scientist Award (2017) and IBM Best Poster Award (2011). Current research emphasizes real-time thermal monitoring during hyperthermia treatments and machine learning-driven optimization of microwave systems. Her projects involve collaborations with medical institutions for clinical validation of imaging systems, such as the SAFE breast cancer screening platform evaluated in 2021. Primary Affiliation: ITU College of Engineering Key Projects: Breast Cancer Hyperthermia Devices, Dielectric Spectroscopy for Tissue Analysis Grants: TÜBİTAK 1003 (2018–2021), Istanbul Development Agency (2016–2017)

• Materials Science
• Polymer Composites
• Nanotechnology
• +۳ مورد دیگر

Professor Jyrki Vuorinen serves as the Dean of the Faculty of Information Technology and Communication Sciences at Tampere University. His research focuses on advanced materials science, with expertise in polymer composites, nanotechnology, and biomedical materials. He has contributed significantly to studies on material durability, interfacial adhesion, and energy-efficient material formulations. His work bridges fundamental material science with industrial applications, particularly in rubber composites, nanodiamond-enhanced materials, and biocompatible nanolaminates. Recent projects include developing non-invasive cancer detection methods using urine DNA panels and optimizing microwave-assisted surface treatments for aramid fibers. He holds a leadership role in advancing interdisciplinary research at Tampere University. Research interests span from polymer science and surface engineering to biomedical applications of materials. Key themes include enhancing material mechanical properties through nanomaterial integration, studying environmental effects on material durability, and advancing sustainable recycling of multilayer plastics. His work often addresses real-world challenges in corrosion resistance, energy dissipation in elastomers, and antibacterial polymer fibers for medical textiles. His publications highlight trends in composite material innovation, with emphasis on nanocomposite formulations, dielectric material optimization, and interface modification techniques. Articles from 2018–2023 reflect a focus on translating laboratory findings into industrial solutions, such as improving rubber-metal adhesion and developing cost-effective diagnostic tools. No scientific awards or grants are explicitly listed in the provided texts, though his extensive publication record suggests significant academic contributions. His advising activities are not detailed here, but his research team likely focuses on materials science and engineering disciplines. He contributes to maintaining Tampere University’s reputation in cutting-edge materials research and interdisciplinary education.

• Human-Robot Interaction
• Augmented Reality
• Mixed Reality
• +۵ مورد دیگر

Yuchong Zhang is a Postdoc Fellow at KTH Royal Institute of Technology's Division of Robotics, Perception and Learning, supervised by Prof. Danica Kragic. He completed his Ph.D. at Chalmers University of Technology (2018-2023) and holds an M.Sc. from Nanyang Technological University (2016-2017) and B.Eng. from Hangzhou Dianzi University (2012-2016). Ph.D. in Interaction Design, Chalmers University of Technology, Sweden (2018-2023) M.Sc. in Computer Science, Nanyang Technological University, Singapore (2016-2017) B.Eng. in Computer Engineering, Hangzhou Dianzi University, China (2012-2016) His research centers on human-robot interaction through human-centered design, with expertise in augmented/mixed reality , interactive AI , and affective computing . He bridges cognitive science and engineering to develop intuitive interfaces for industrial tomography and wearable robotics, emphasizing perceptual accuracy and user experience in immersive systems. Publications from 2019-2025 reveal evolving focus from industrial AR visualization (2019-2021) to brain-robot interfaces (2025) and wearable robotics (2024). Key trends include multimodal feedback in AR, EEG-based control systems, and social drone design, consistently applying human-centered methodologies across HCI, robotics, and sensory augmentation domains. He supervises master's projects in interaction design and mobile development while contributing to major initiatives like BOS (Body-centric Operating System) and ELSA (European Lighthouse on Secure AI). His work integrates hardware prototyping with user studies for industrial and assistive applications. As part of KTH's Robotics, Perception and Learning group, he collaborates on projects including TOMOCON (industrial tomography sensors) and European AI safety frameworks, leveraging his background in cross-cultural academic environments (China, Singapore, Sweden).

Leeor Alonمشاهده پروفایل

استادیار

• Medical Imaging Safety
• MRI Technology
• Biomedical Engineering
• +۳ مورد دیگر

Leeor Alon, PhD, is an Assistant Professor in the Department of Radiology at NYU Grossman School of Medicine. His research focuses on advancing medical imaging safety, MRI technology optimization, and biomedical engineering innovations. He holds a PhD from New York University. Alon's work emphasizes the development of open-source medical devices, such as ultra-low-field MRI systems and 3D-printed animal imaging platforms. His research integrates cutting-edge techniques like deep learning for hemorrhage detection and electromagnetic field analysis for RF safety. He has contributed to understanding risks associated with brain-implanted conductors and RF exposure in rodents, alongside pioneering temperature-regulated MRI systems for preclinical studies. His publications highlight interdisciplinary approaches, combining engineering, physics, and biology to address challenges in MRI safety, thermometry, and biomedical instrumentation. Collaborations span neuroimaging, material science, and clinical diagnostics, reflecting his commitment to bridging theoretical and applied research.