جست‌وجوی استاد و پژوهشگر

Tommaso Proiettiمشاهده پروفایل

استادیار

• Soft Robotics
• Wearable Robotics
• Rehabilitation Robotics
• +۳ مورد دیگر

Tommaso Proietti serves as Tenure-Track Assistant Professor at Sant'Anna School of Advanced Studies, leading the Soft NeuroBionics Lab within the Bioelectronics and Bioengineering Area of the Biorobotics Institute. His career spans industrial engineering at General Motors, postdoctoral research at Harvard Biodesign Lab, and prior affiliations with Northwestern University and Sorbonne University. His academic credentials include: B.S. in Control Engineering, Sapienza University of Rome (2010) M.S. in Control Engineering, Sapienza University of Rome (2013) Ph.D. in Robotics Engineering, Sorbonne University (2017) Proietti's research pioneers soft wearable robotics for rehabilitation and human augmentation, with core expertise in physical human-robot interaction , biomechanics , and adaptive control systems . His lab develops inflatable exosuits and sensor technologies targeting upper-limb mobility restoration for stroke survivors, spinal cord injury patients, and industrial workers. Recent work emphasizes clinical validation of wearable systems in real-world environments while optimizing comfort and natural movement. Analysis of his 15 most recent publications (2022-2025) reveals three dominant research trajectories: (1) clinical assessment tools using wearable sensors for neurological rehabilitation, (2) pneumatic soft exosuits for industrial and medical applications, and (3) fundamental advances in human-robot interaction frameworks. His work increasingly bridges engineering innovation with tele-rehabilitation implementation, particularly for stroke recovery and ALS management. Scientific recognition: No awards documented in source materials Academic contributions: No student advising information provided No research grant details disclosed The Soft NeuroBionics Lab under Proietti's direction focuses on creating ultralightweight, textile-integrated robotic systems that provide targeted assistance without restricting natural movement. Current projects include shoulder exosuits for industrial fatigue reduction and pronosupination aids for spinal cord injury, with strong industry-clinical partnerships driving real-world deployment.

Sivarit Sultornsaneeمشاهده پروفایل

استاد آموزشی

• Internet of Things (IoT)
• Intelligent Factory Transformation
• Machine Learning Applications
• +۳ مورد دیگر

Dr. Sivarit Sultornsanee is an Associate Teaching Professor in the Department of Mechanical and Industrial Engineering at Northeastern University, Boston, MA, and serves as an Assistant Program Advisor for the Data Analytics Engineering program. His research focuses on IoT, intelligent factory transformation, machine learning-driven price optimization, image search engines, biomedical signal processing, and AI applications in business. Education: Ph.D. in Interdisciplinary Engineering (Data Analytics Engineering) from Northeastern University (2012); M.S. in Computer Engineering from the University of Massachusetts (2007). Research Interests Internet of Things (IoT) : Developing smart factory solutions and IoT-driven industrial systems. Machine Learning Applications : Price recommendation systems and ML models for business optimization. Biomedical Signal Processing : EEG/EMG analysis for healthcare diagnostics (e.g., epilepsy, neuropathy). Image Search Engines : Semantic segmentation and AI-driven image analysis techniques. AI in Business : Strategic use of AI for business decision-making and market analysis. Publications Trends : Recent work spans geotechnical engineering (soil mechanics, CBR prediction), medical imaging (diabetic retinopathy detection), and finance (portfolio optimization via neural networks). Earlier research emphasized signal processing in manufacturing and biomedical diagnostics. Affiliations : Member of ECIT-Thailand, International Federation of Classification Societies (IFCS), and Electrical Engineering Academic Association of Thailand.

Victoria S Akinمشاهده پروفایل

دانشیار

• Mathematics Education
• Retention of Women in STEM
• STEM Outreach Programs
• +۷ مورد دیگر

Victoria S Akin is an Associate Professor of the Practice of Mathematics at Duke University's Trinity College of Arts & Sciences . She holds a Ph.D. from the University of Chicago (2017) in geometric group theory, focusing on mapping class groups. Her current research emphasizes mathematics education, particularly the retention of women in STEM through initiatives like the Girls Exploring Math (GEM) program. She co-directs this outreach effort, which engages middle school girls in problem-solving workshops and addresses social constructs impacting math self-concept. Education: Ph.D. in Mathematics, University of Chicago, 2017 Research Interests: DEI initiatives in STEM education Inclusive grading systems Graduate student professional development Impact of spatial reasoning interventions Grants & Awards: ACT UP MATH Research Co-PI (2022–2025) DukeGEM Public Service PI (2021–2023) 2019 Most Innovative Professor (National Arist) Repeated Top 5% Teaching Evaluations (Trinity College) Teaching & Advising: Coordinates calculus courses and mentors Bass Connections teams. Recent courses include Discrete Mathematics, Probability, and Teaching College Mathematics. Advises interdisciplinary projects on STEM retention and math identity. Labs/Teams: Co-leads Bass Connections teams focused on gender equity in STEM and directs the GEM program.

Istvan Szunyoghمشاهده پروفایل

استاد

• Numerical Weather Prediction
• Data Assimilation
• Machine Learning Applications
• +۳ مورد دیگر

Istvan Szunyogh is a Professor in the Department of Atmospheric Sciences within the College of Geosciences at Texas A&M University, where he has held faculty positions since 2009. His research focuses on advancing numerical weather prediction through innovative integration of machine learning, statistical techniques, and physical modeling for Earth's atmosphere and complex systems. His academic foundation includes: Ph.D. in Earth Sciences from the Hungarian Academy of Sciences, Budapest Diploma in Meteorology from Eötvös Loránd University, Budapest Szunyogh's research spans Numerical Weather Prediction (NWP), Earth System Modeling (ESM), Data Assimilation (DA), Machine Learning applications, and predictability studies of atmospheric and oceanic systems. His group pioneers hybrid modeling approaches that combine physics-based frameworks with machine learning to overcome traditional limitations in weather forecasting, particularly for medium-range and subseasonal predictions. This work bridges atmospheric dynamics, computational science, and artificial intelligence to address fundamental challenges in predictability. Analysis of his recent publications reveals a dominant trend toward developing hybrid physics-machine learning models for atmospheric and oceanic prediction beyond conventional medium-range limits. These studies focus on capturing complex dynamical processes, improving subseasonal forecasting, and enhancing model error correction through innovative data assimilation techniques. His scientific leadership has been recognized with prestigious awards: College of Geosciences 2017 Distinguished Achievement Award for Faculty Excellence in Research Certificate of Recognition from U.S. THORPEX Executive Committee (2015) for international leadership in predictability research Certificate of Appreciation from WMO WWRP (2014) for outstanding contributions to the THORPEX program Szunyogh actively mentors the next generation of atmospheric scientists, having advised numerous graduate students including J. Pathak, A. Wikner, E. Forinash, T. Arcomano, M. J. Kavulich, E. Satterfield, A. V. Zimin, and M. Corazza. His research group maintains strong collaborations with national weather prediction centers including NCEP and international programs under the World Meteorological Organization, securing consistent funding for cutting-edge atmospheric research. He leads a dynamic research team at Texas A&M that operates at the intersection of traditional atmospheric science and modern computational techniques, fostering an environment where theoretical exploration directly informs practical forecasting improvements for complex Earth system phenomena.

• Mechanical Metamaterials
• Origami-Inspired Structures
• Wave Propagation
• +۳ مورد دیگر

Charles Dorn is an Assistant Professor in the Department of Aeronautics and Astronautics at the University of Washington. His research focuses on structural mechanics, architected materials, and reconfigurable systems. Prior to UW, he was a Postdoctoral Fellow at ETH Zurich (2021–2024), and completed his PhD in Space Engineering at Caltech (2021), with additional degrees from Ecole Polytechnique and UW-Madison. Education: PhD, Space Engineering, California Institute of Technology, 2021 M.S., Multiphysics and Multiscale Modeling, Ecole Polytechnique, 2018 M.S., Space Engineering, Caltech, 2017 B.S., Engineering Mechanics, UW-Madison, 2016 Research Interests: His work bridges mechanics, computation, and design to create structures with extreme properties like wave steering and shape reconfiguration. Key areas include mechanical metamaterials, origami-inspired systems, and spatially graded metamaterials for vibration suppression. Recent projects explore inverse design methods and multi-configuration rigidity. Key Achievements: Developed ray-tracing tools for elastic waves in graded metamaterials Winner of 2018 R&D 100 Award for video-based vibration measurement techniques Collaborated with industry leaders like Prof. Sergio Pellegrino (Caltech) and Prof. Dennis Kochmann (ETH Zurich) Labs/Teams: Leads a research group at UW focused on advanced structural architectures and their applications across aerospace, robotics, and electronics.

Peter Liljerothمشاهده پروفایل

استاد

• Atomic-scale physics
• Scanning Tunneling Microscopy
• Nanostructures
• +۳ مورد دیگر

Peter Liljeroth is a Professor in the Department of Applied Physics and serves as Vice Dean of the School of Science at Aalto University. His research focuses on probing atomic-scale structures and electronic properties of molecules and nanostructures using low-temperature scanning tunneling microscopy (STM) and atomic force microscopy (AFM). He leads the Atomic Scale Physics group , aiming to create designer materials with atomically precise geometries and controlled interactions. Education: PhD in Engineering and Technology from Helsinki University of Technology (2002), Licentiate (2001), and Master's (1999) degrees in similar fields. Awards : ERC Starting Grant (2012), Väisälä Award (2016). Projects : Principal investigator in EU Horizon Europe projects like GETREAL (2025–2029) and Sig-STM (2025–2026), focusing on quantum materials and van der Waals heterostructures. Research interests include 2D materials, quantum phases, and engineered nanostructures. Supervised 16 theses and contributed to over 120 publications and datasets.

• Creative Design Practice
• Fashion Design
• Textile Arts
• +۳ مورد دیگر

Dr. Denise Sprynskyj is a Senior Lecturer in the Department of Fashion & Textiles at RMIT University, located at the City Campus in Australia. Her work focuses on creative design practice, surface manipulation, and contemporary fashion practices with an emphasis on Japanese design models. She collaborates frequently with designer Paul Boyd, producing innovative fashion presentations and installations across Melbourne's major festivals and events. Her research interests include textile embellishment, reconstructing tailoring techniques, and deconstructivist approaches to fashion. She actively supervises research projects like 'Double Take: Text, Garment, and Filmed ‘Replica’s’ and explores intersections between traditional decorative techniques and modern innovations. Dr. Sprynskyj has presented works at venues including the Swedish School of Textiles, National Gallery of Victoria, and Melbourne Fashion Festival. Her creative outputs blend performance art, material experimentation, and collaborative curation to challenge conventional fashion narratives. Despite no explicitly stated awards, her prolific exhibition record demonstrates significant recognition in the field. As an educator, she teaches courses on independent practice, surface pattern design, and curriculum development in fashion education. Her ORCID profile (0000-0002-2611-6517) documents extensive creative outputs since 2009, emphasizing material innovation and interdisciplinary collaboration.

Maria Kamenetskaمشاهده پروفایل

دانشیار

• Nano-materials
• Single molecule techniques
• Biophysics
• +۴ مورد دیگر

Maria Kamenetska is an Associate Professor at Boston University, holding joint appointments in the Departments of Chemistry and Physics. She is also affiliated with the Material Science & Engineering and Nanotechnology Innovation Center. Her research focuses on developing novel single-molecule techniques to study intermolecular interfaces in biological and engineered systems, with projects spanning electron transport in 1D metal chains, DNA-protein interactions, and advanced spectroscopy methods. Education: She earned a B.S. in Physics from MIT (2005), an M.S. and Ph.D. in Applied Physics from Columbia University (2012), and completed postdoctoral training at Yale University in Biophysics and Chemistry. She joined BU in 2017. Research Interests: Her lab explores nano-materials, single-molecule biophysics, and nanotechnology, combining techniques like Scanning Tunneling Microscopy, Optical Tweezers, and Raman Spectroscopy. Key areas include quantum interference in molecular junctions, nucleosome dynamics, and label-free nanoscale investigation methods. Publications: Over 50 peer-reviewed articles since 2004, with 2024 highlights including work on quantum interference manipulation and topological insulator circuits. Her research bridges condensed matter physics and biophysics, emphasizing experimental innovation. Awards: NSF Postdoctoral Fellowship, CAREER Award, and recognition for her Ph.D. thesis. Her work has been supported by grants focusing on molecular electronics and nanoscale systems.

M. Edward Medofمشاهده پروفایل

استاد

• Complement System
• Immunology
• Cell Biology
• +۵ مورد دیگر

M. Edward Medof is a Professor in the Department of Pathology, School of Medicine at Case Western Reserve University, with additional appointments in the Department of Medicine and Department of Ophthalmology and Visual Sciences. He is also a Member of the Immune Oncology Program at the Case Comprehensive Cancer Center. Dr. Medof’s research focuses on complement system regulation, particularly decay-accelerating factor (DAF/CD55) and membrane cofactor protein (MCP/CD46), and their roles in self/non-self discrimination, autoimmune diseases, and genetic disorders like paroxysmal nocturnal hemoglobinuria (PNH). His work spans immunology, molecular biology, and cancer biology. Research projects include elucidating complement regulators’ roles in immune adherence, PNH pathogenesis, GPI-anchor biosynthesis, and therapeutic applications of cell-surface engineering. Key contributions include discoveries about DAF’s structural and functional mechanisms, the role of complement in T cell costimulation, and the development of DAF knockout mouse models. His studies also address complement’s role in liver disease, myasthenia gravis, and tumor cell vaccines. Publications highlight over 95 peer-reviewed articles, focusing on complement biology’s interplay with immunity, cancer, and genetic disorders. Notable recent work includes studies on KLF4/CD55 crosstalk (2024), C3a/C5a receptor signaling in regulatory T cells (2023), and VEGFR2 survival mechanisms (2019). His research bridges basic science and clinical applications, emphasizing translational potential in immunotherapy and disease modeling. Dr. Medof’s lab employs techniques ranging from molecular biology and structural NMR to in vivo murine models. Collaborations extend across immunology, oncology, and hepatology, reflecting the interdisciplinary nature of his contributions to biomedical science.

• Glaucoma
• Cataract Surgery
• Minimally Invasive Glaucoma Surgeries
• +۴ مورد دیگر

Dr. Soshian Sarrafpour is an Assistant Professor of Ophthalmology and Visual Science at Yale School of Medicine. He specializes in glaucoma, cataracts, and anterior segment diseases, providing clinical care at multiple Yale Medicine locations. His academic roles include faculty membership in the Glaucoma Research Group and involvement in resident/fellow education. Education & Training: Bachelor of Science in Biochemistry, Tufts University (2011) Medical Doctorate, Tufts University School of Medicine (2015) Ophthalmology Residency, New York University (2019) Glaucoma Fellowship, Yale University (2020) Research Focus: Combines clinical practice with innovative studies in: Machine learning applications for glaucoma diagnosis Minimally invasive glaucoma surgeries (e.g., OMNI procedure) Advanced imaging techniques for ocular disease evaluation Medical education strategies in ophthalmology Key Contributions: Has authored/co-authored over 15 peer-reviewed articles, contributed to Shield's Textbook of Glaucoma , and presented at major conferences like ARVO and AAO. His translational research bridges surgical innovation with clinical outcomes. Labs/Teams: Active member of the Yale Glaucoma Research Group , collaborating on projects involving novel surgical techniques, imaging modalities, and disease mechanism studies.

• Geomorphology
• Hydrology
• Remote Sensing
• +۳ مورد دیگر

Jaclyn Cockburn is an Assistant Professor in the Department of Geography at the University of Guelph. Her research focuses on fluvial geomorphology, hydrology, and environmental processes, with an emphasis on river restoration, sediment dynamics, and climate-landscape interactions. She employs cutting-edge technologies like LiDAR and remote sensing to study aquatic ecosystems and geomorphic processes in diverse environments, including Arctic regions and urban streams. Her work spans topics such as ice-covered stream hydraulics, varve-based climate proxies, and the impacts of urbanization on river morphology. She has contributed to methodological advancements in geomorphometric analysis and digital soil mapping. Notably, she has addressed systemic issues in academia through a 2019 paper examining gender dynamics in academic careers. Dr. Cockburn's research bridges field observations, computational modeling, and policy-relevant applications. Her articles consistently address interdisciplinary challenges in environmental science, emphasizing the interplay between physical processes and ecological outcomes.

• Nanotechnology
• DNA Nanotechnology
• Molecular Engineering
• +۳ مورد دیگر

Longfei Liu is an Associate Research Scientist in the Department of Cell Biology at Yale School of Medicine, Yale University. His research focuses on DNA nanotechnology, molecular engineering, and their applications in materials science and biophysics. Collaborators include prominent researchers such as Chenxiang Lin, Erdem Karatekin, and Frederic Pincet. Key research interests include DNA self-assembly, nanostructuring, and the development of programmable nanodevices. Recent work explores molecular lithography on silicon wafers, DNA-based membrane interactions, and the creation of tunable transmembrane channels using DNA-origami-protein hybrids. Liu has contributed to advancements in DNA binary crystals, lipidosome sorting, and CRISPR-mediated DNA origami processing. Publications emphasize interdisciplinary approaches, combining chemistry, physics, and engineering to design functional nanomaterials. His work bridges fundamental molecular mechanisms with applied technologies in drug delivery, diagnostics, and biomaterials. No specific awards or grants are listed in the provided text.

Hoda ElMaraghyمشاهده پروفایل

استاد

• Manufacturing Systems
• Industry 4.0
• Lean Manufacturing
• +۷ مورد دیگر

Dr. Hoda ElMaraghy is a distinguished Professor of Industrial and Manufacturing Systems Engineering at the University of Windsor , Faculty of Engineering. She is internationally recognized for her groundbreaking contributions to manufacturing systems, particularly in the areas of Industry 4.0, smart manufacturing, and reconfigurable systems. Her research emphasizes adapting manufacturing processes to handle high product variety while maintaining efficiency and sustainability. Dr. ElMaraghy has held significant roles, including former Dean of the Faculty of Engineering, and leads the Intelligent Manufacturing Systems Centre . Her work integrates digital twins, reinforcement learning, and biomimetic approaches to solve complex manufacturing challenges. Key projects include optimizing assembly line rebalancing, thermal expansion control in plastics, and sustainable greenhouse manufacturing ecosystems. Awards & Honours: 2022: Invested in the Order of Canada 2021: Honorary Doctorate from Aalborg University 2021: Honorary Doctorate from Chalmers University 2018: Fellow of the Royal Society of Canada 2016: Fellow of the Canadian Academy of Engineering Her research also focuses on SME innovation through IIoT-driven learning factories and human capital transformation for smart manufacturing adoption. She has published extensively on digital twin applications, product platform design, and lean production systems.

Bernd Meyerمشاهده پروفایل

استاد

• Computational Chemistry
• Materials Science
• Surface Chemistry
• +۶ مورد دیگر

Prof. Dr. Bernd Meyer is a Professor of Computational Chemistry at the Department of Chemistry and Pharmacy, Friedrich-Alexander University Erlangen-Nuremberg. His research bridges theoretical and experimental approaches to investigate nanomaterials, surface chemistry, and molecular dynamics. Computational Chemistry Materials Science Surface Stability Molecular Dynamics Nanomaterials Photovoltaics Organic-Inorganic Hybrids Recent publications focus on adsorption mechanisms of molecules on metal oxides, design of porphyrin-based hybrids with tunable optoelectronic properties, and algorithm optimizations for ab initio molecular dynamics. His work integrates first-principles simulations with experimental validation to address challenges in energy materials and surface engineering. Contact: bernd.meyer@fau.de | Room 2.308, Nägelsbachstraße 25, Erlangen | Phone: +49 9131 85-20403

Emily Asenath-Smithمشاهده پروفایل

استادیار مدعو

• Materials Science
• Ice Adhesion
• Crystalline Materials
• +۴ مورد دیگر

Emily Asenath-Smith is an Adjunct Assistant Professor of Engineering at Dartmouth College's Thayer School of Engineering and a senior research materials engineer at the U.S. Army Engineer Research and Development Center (ERDC) Cold Regions Research and Engineering Laboratory (CRREL) in Hanover, NH. She leads the Ice Adhesion Facility and the Advanced Materials Team, focusing on ice modulation, interfaces, and structural ice applications for military and civilian use. Her research sponsors include the U.S. Army, DARPA, NASA, and ONR. Education AB in Chemistry, Mount Holyoke College (2008) MS in Ceramic Engineering, Alfred University (2010) PhD in Materials Science and Engineering, Cornell University (2015) Research Interests Ice adhesion mechanisms and mitigation Thermal transport in crystalline materials Bioinspired hierarchical materials Strategic manipulation of material properties with solutes Her work bridges fundamental materials science with applied solutions for cold-region challenges, including ice prevention, energy-efficient materials, and high-performance ice structures. Awards & Activities NSF Graduate Research Fellowship (2008–2011) IGERT Traineeship in Advanced Materials (2011–2014) American Chemical Society membership (2008–present) Labs & Projects Her Advanced Materials Team develops novel methods for ice control and material synthesis, supported by patents like the 'Tribometer with real-time observation' (US 11835444) and 'Multi-spectral photocatalytic materials' (US 11298689). Research highlights include advancements in crystallization processes and bio-inspired composite materials.