جست‌وجوی استاد و پژوهشگر

• Organic Electronics
• Polymer Solar Cells
• Conjugated Polymers
• +۴ مورد دیگر

Sachetan Tuladhar is a Visiting Professor in the Department of Physics at Imperial College London, affiliated with the Faculty of Natural Sciences. He is associated with the Experimental Solid State Physics Group, Grantham Institute, and Nelson Group. His research focuses on conjugated polymers, organic photovoltaics, and charge transport mechanisms in materials. Research interests include the design and characterization of conjugated polymers for electronic applications, fullerene-based materials, and the impact of molecular structure on device performance. Recent work emphasizes optimizing polymer morphologies, ion interactions, and environmental stability of solar cells. Publications from 2015–2025 highlight trends in polymer solar cell efficiency, phase behavior analysis, and ultrafast dynamics. No scientific awards are explicitly mentioned, though his contributions to material science are evident through his active publication record. Advising and grants details are not provided in the text. He is linked to labs/groups within the Experimental Solid State Physics and Grantham Institute, focusing on sustainable energy materials and nanotechnology applications.

Yasaman Ghasempourمشاهده پروفایل

استادیار

• Wireless Communication
• Terahertz Networks
• Millimeter-Wave Systems
• +۷ مورد دیگر

Yasaman Ghasempour is an Assistant Professor in the Department of Electrical and Computer Engineering at Princeton University, affiliated with the School of Engineering and Applied Science. She joined Princeton in Spring 2021 and leads the Smart Wireless Agile Networks Lab. Her research focuses on next-generation wireless communication and sensing systems, particularly in millimeter-wave (mmWave) and terahertz (THz) networks, IoT, robotic wireless networks, and security. She holds a Ph.D. and M.Sc. in Electrical and Computer Engineering from Rice University (2020 and 2016, respectively). Education: Ph.D., Rice University (2020); M.Sc., Rice University (2016) Labs: Smart Wireless Agile Networks Lab Her research spans adaptive mmWave wireless networks , THz communication/sensing systems , intelligent surfaces , and cross-layer security . She develops theoretical frameworks and experimental systems to enable ultra-fast, secure, and robust wireless networks. Notable contributions include metamaterial-based sensors for fruit ripeness, non-invasive wireless sensing, and security protocols against adversarial attacks. Awards include the NSF CAREER Award (2022), AFOSR Young Investigator Award (2024), and multiple best paper awards at ACM SenSys, IEEE WCNC, and ACM MobiCom. She advises over 10 graduate students, fostering innovation in wireless systems and security. Grants: NSF CAREER, AFOSR Young Investigator, Princeton SEAS Faculty Award Key Projects: Sub-THz metamaterial stickers, robotic perception via wireless sensing, secure THz networks

Salvatore Torquatoمشاهده پروفایل

استاد

• Statistical Mechanics
• Soft Condensed Matter Theory
• Hyperuniformity
• +۱۱ مورد دیگر

Professor Salvatore Torquato , Lewis Bernard Professor of Natural Sciences at Princeton University, leads the Complex Materials Theory Group at the Princeton Institute for the Science and Technology of Materials (PRISM). His work spans statistical mechanics, soft condensed matter theory, and interdisciplinary applications in biophysics and materials science. Research Interests: Hyperuniformity, packing problems, inverse statistical mechanics, multifunctional materials, quantum mechanics, cancer modeling, and biophysics. Scientific Awards: American Chemical Society Joel Henry Hildebrand Award (2017) Simons Foundation Fellowship (2012) Multiple Institute for Advanced Study memberships Guggenheim Fellow (1998) Publications & Collaborations: Recent work focuses on hyperuniform states across quantum systems, biological tissues, and photonic materials. His group collaborates with experimentalists in physics, applied mathematics, and mechanical engineering while developing novel theories for tumor growth and retinal cell arrangements. Contact: torquato@princeton.edu

• Offshore Wind Energy
• Floating Wind Turbines
• Aerodynamics
• +۴ مورد دیگر

Sandrine Aubrun is a Full Professor at Centrale Nantes, affiliated with the Hydraulic, Environment, Energy and Aeronautics Laboratory (LHEEA). Her research focuses on offshore wind energy, particularly aerodynamics of floating wind turbines and wake dynamics. She holds a mechanical engineering degree from Strasbourg, a master’s and PhD in fluid mechanics from Toulouse, and completed a postdoc in Germany studying atmospheric pollutant dispersion. Research Interests : Her work addresses turbine-wake interactions, floating turbine motions, and large-scale atmospheric effects. Key facilities include the LHEEA wind tunnel and SEM-REV full-scale offshore test site. Recent projects include coordinating the Flower EU project on floating wind energy and the Oracle multidisciplinary cluster in Nantes. Collaborations : Active in European/national projects, she collaborates with researchers across disciplines and leverages Centrale Nantes’ research support and communication teams to advance project development and result dissemination. Future Prospects : Continues leading the Flower project and expanding offshore wind research through experimental and numerical studies, emphasizing sustainable energy solutions and cross-institutional collaboration.

Cody Dunneمشاهده پروفایل

دانشیار

• Data Visualization
• Graph and Network Data
• Multidimensional Data
• +۱۵ مورد دیگر

Cody Dunne is an Associate Professor at the Khoury College of Computer Sciences, Northeastern University, leading the Khoury Vis Lab. His research focuses on data visualization, particularly layered network visualizations and their application in domains like cybersecurity, healthcare, and digital humanities. He is renowned for contributions to algorithmic visualization techniques and human-centered evaluation methodologies. Research Interests: Data Visualization & Network Analysis Layered Graph Layout Algorithms Immersive Analytics (VR/XR) Differential Privacy Visualization Cybersecurity Visualization User-Centered Design Recent Work: Prioritizes reproducibility and open science practices, including benchmark dataset development and systematic reviews of visualization methods. Recent projects involve collaborative VR environments for group awareness and optimizing graph layout algorithms. Awards & Recognition: SIGMOD 2024 Best Paper Honorable Mention GD 2023 Best Poster Honorable Mention Advising & Collaborations: Supervises PhD students in visualization research (e.g., Sara Di Bartolomeo, David Saffo). Active in cross-disciplinary projects with Northeastern's CHI and IEEE VIS communities. Labs: Directs the Khoury Vis Lab, which develops tools like Indy Survey Tool for systematic literature reviews and visualization benchmarking.

Milan Sonkaمشاهده پروفایل

استاد

• Medical Image Analysis
• Image Processing
• Deep Learning in Healthcare
• +۴ مورد دیگر

Milan Sonka is the Lowell G. Battershell Chair in Biomedical Engineering and Professor of Electrical & Computer Engineering at the University of Iowa's College of Engineering. He also holds academic roles in Radiation Oncology and Ophthalmology & Visual Sciences at the Carver College of Medicine. His primary research focuses on medical image analysis and deep learning applications in healthcare. Education: PhD in Digital Image Analysis, Czech Technical University (1984) MS in Electrical Engineering (Tech. Cybern.), Czech Technical University (1979) Research Interests: Development of advanced algorithms for medical imaging modalities like OCT, MRI, and CT Deep learning applications in diagnostics, including automated pathology detection and segmentation Cardiac and ophthalmic imaging for conditions such as glaucoma, AMD, and cardiac allograft vasculopathy AI-driven tools for clinical decision support systems Professional Contributions: Editorial roles: IEEE Transactions on Medical Imaging, Medical Image Analysis Fellowships: IEEE, AIMBE Leadership: Director of Iowa Initiative for Artificial Intelligence and Iowa Institute for Biomedical Imaging Key Projects: Automated OCT analysis for coronary artery plaque assessment AI models for glioblastoma vs. metastatic brain tumor differentiation Development of segmentation tools like Sli2Vol+ and LOGISMOS Labs/Teams: Active in interdisciplinary teams at the Iowa Initiative for AI and Iowa Institute for Biomedical Imaging, focusing on translating algorithmic innovations into clinical practice.

Xinyu Zhaoمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• Reactive Flows
• Radiative Heat Transfer
• +۳ مورد دیگر

Dr. Xinyu Zhao is an Associate Professor in the Mechanical Engineering Department at the University of Connecticut (UConn), having joined in 2015. She holds a BEng and MEng in Thermal Engineering from Tsinghua University (2006–2008) and a PhD in Mechanical Engineering from Pennsylvania State University (2013). Prior to UConn, she worked as a postdoctoral research fellow at Princeton University's Combustion Energy Frontier Research Center, sponsored by Sandia National Laboratory and Penn State. Her research focuses on computational fluid dynamics (CFD), with expertise in high-fidelity simulations of reactive flows, radiative heat transfer, multi-phase combustion, and the integration of computational and experimental methods. Key areas include detonation dynamics, turbulent combustion, and radiation modeling in complex systems such as pool fires and pulverized coal flames. Recent work highlights include studies on flame acceleration, detonation cellular structure, Monte Carlo ray tracing optimization, and turbulence-radiation interaction. Her publications span topics like hydrogen-air detonation mechanisms, soot formation under microgravity, and CFD modeling of combustor liners. These contributions advance understanding of combustion physics and numerical methods for industrial applications. Dr. Zhao has not been noted as having formal advisees listed in the provided texts. Her work aligns with UConn’s engineering and energy research initiatives, emphasizing cross-disciplinary approaches to combustion science and fluid dynamics challenges.

Wasim Ahmadمشاهده پروفایل

مدرس ارشد

• Signal Processing
• Machine Learning
• Data Analytics
• +۹ مورد دیگر

Wasim Ahmad is a Senior Lecturer (Associate Professor) in Signal Processing and Machine Learning at the School of Engineering, University of Glasgow. He earned his PhD from the University of Surrey (2011) and held prior academic positions at the University of Hull (2013–2015) and the University of Surrey (2011–2013). He is part of the Communication, Sensing and Imaging (CSI) research group at Glasgow, focusing on applications of signal processing and machine learning in sound modeling, robot audition, healthcare technologies, and IoT-based systems. Education: PhD in Engineering from the University of Surrey (2011), followed by postdoctoral roles at Hull and Surrey before joining Glasgow in 2015. Research Interests: His work spans signal processing for assistive technologies, teleoperation systems, activity recognition, and IoT-enabled healthcare monitoring. He has pioneered projects like radar-based indoor navigation for visually impaired individuals and emotion recognition for human-robot interaction. Publications: Over 40 peer-reviewed articles, with recent focus on edge computing optimization, immersive VR education, and teleoperation interfaces. His work bridges theoretical advancements with practical applications in robotics, healthcare, and education. Grants: Recipient of the University of Glasgow Learning and Teaching Development Fund (2017–2018) for student-staff partnership in assessment innovation. Teaching: Leads courses on real-time systems, microelectronics, and programming, emphasizing hands-on engineering projects. Supervised MSc/PhD students in telerobotics and edge computing. Labs/Teams: Active contributor to the CSI group, collaborating on projects involving sensor networks and AI-driven systems.

Michael A. Bekosمشاهده پروفایل

استادیار

• Theoretical Computer Science
• Discrete Mathematics
• Algorithms
• +۵ مورد دیگر

Michael A. Bekos is an Assistant Professor at the Department of Mathematics, University of Ioannina, Greece. He holds a PhD from the National Technical University of Athens (2009), and M.Sc. and B.Sc. from the University of Ioannina (2004 and 2002 respectively). His research focuses on theoretical computer science and discrete mathematics, particularly algorithms, graph drawing, graph theory, and information visualization. He has served as a postdoctoral fellow at the National Technical University of Athens and the University of Tübingen. Education: B.Sc. in Mathematics, University of Ioannina (1998-2002) M.Sc. in Computational Mathematics and Computer Science, University of Ioannina (2002-2004) Ph.D. in Computer Science and Discrete Mathematics, National Technical University of Athens (2004-2008) Research Interests: Development of algorithms for optimization and combinatorial problems in graph drawing, graph theory, information visualization, and map labeling. He has published extensively in journals and conferences, focusing on areas like planar graphs, queue layouts, and graph embeddings. Grants and Collaborations: Involved in organizing conferences (e.g., GD2023, WG2022) and guest editing special issues in journals like J. Graph Algorithms Appl. Collaborates with researchers globally, including on projects related to graph algorithms and visualization. Labs/Teams: Active in research groups at the University of Ioannina and previously at the University of Tübingen, focusing on advanced algorithmic topics and graph theory.

George M. H. Birchenoughمشاهده پروفایل

مدرس ارشد

• Gastrointestinal Biology
• Mucin Secretion
• Host-Microbe Interactions
• +۷ مورد دیگر

George M. H. Birchenough is a Senior Lecturer at the Department of Medical Biochemistry and Cell Biology, University of Gothenburg. His research focuses on intestinal mucus barrier function, host-microbiota interactions, and mucin glycosylation dynamics. Key research themes include Pathogen-mucus interactions (E. coli, Ureaplasma) Dietary and microbial modulation of mucosal barriers Developmental biology of intestinal goblet cells Evolutionary conservation of mucosal defenses Recent publication trends reveal expertise in Transkingdom signaling between protozoa and host Genetic models of mucin crosslinking Environmental impacts on intestinal barrier integrity Comparative mucosal immunity across species

Mary Hatcher-Skeersمشاهده پروفایل

استاد

• NMR Spectroscopy
• DNA Methylation
• Protein-DNA Interactions
• +۳ مورد دیگر

Mary Hatcher-Skeers is a Professor in the Chemistry department at the Keck Science Department of Claremont Colleges, where she holds the Sidney J. Weinberg, Jr. Chair in Natural Sciences. Her research focuses on NMR spectroscopy and DNA dynamics. Bachelor of Arts in Biochemistry and Cell Biology, University of California at San Diego Master of Science in Chemistry, San Francisco State University Doctor of Philosophy in Physical Chemistry, University of Washington Her research explores protein-DNA interactions, DNA methylation effects, and solid-state/solution NMR methodologies. Key studies include investigating oxygen diffusion in skin layers and chromophore dynamics in bacteriorhodopsin. She integrates service learning into chemistry education, as seen in her 2002 publication on student-driven demonstration projects. Recipient of the Sidney J. Weinberg, Jr. Chair in Natural Sciences Contributed to Grolier's New Book of Popular Science as an expert consultant Hatcher-Skeers has mentored numerous students in laboratory settings and collaborated on multidisciplinary research, including projects on internuclear distance measurements in DNA and molecular dynamics simulations. Her teaching portfolio includes fundamental and advanced courses such as Physical Chemistry II, Advanced Laboratory, and NMR Spectroscopy.

• High-Performance Computing (HPC)
• Artificial Intelligence (AI) Accelerators
• Photonic Integrated Circuits (PIC)
• +۳ مورد دیگر

Sairam Sri Vatsavai is a Research Fellow at the Brookhaven National Laboratory within the Computational Science Initiative . His work focuses on AI-enabled performance modeling and simulations of hardware accelerators for High-Performance Computing (HPC) systems, building on his PhD research on Photonic Integrated Circuits (PIC)-based AI accelerators. Research Interests: AI accelerators for HPC Photonic Integrated Circuits (PIC) System-level and device-level simulations Cross-layer optimization for energy efficiency Machine learning frameworks (PyTorch, Keras) Contact: ssrivatsa@bnl.gov

Gokila Doraiمشاهده پروفایل

استادیار

• Digital Forensics
• Mobile Data Analysis
• Internet of Things (IoT)
• +۵ مورد دیگر

Dr. Gokila Dorai is an Assistant Professor at Augusta University's School of Computer and Cyber Sciences , specializing in Digital Forensics with applications to Mobile and IoT Devices . She holds a Ph.D. in Computer Science and has developed targeted data extraction models for evidence retrieval using Machine Learning and Computer Vision . Education: Ph.D. (2019), MS (2016) from Florida State University, BE (2007) from Anna University Her research focuses on AI-based digital forensics , user data privacy , and security solutions for wearable and IoT devices. She has pioneered frameworks for privacy-preserving data access and blockchain-based forensic provenance . Recent publications demonstrate her expertise in mobile forensics (Amazon/Etsy apps), blockchain frameworks (ForensiBlock), IOT security (FLARE system), and privacy policy analysis using NLP techniques. NSA Cybersecurity Research Innovation Grant ($494,999.51) NSF Research Grant ($569,500) with socio-technical framework AURI Emerging Scientist Award Golden Pen Award Dr. Dorai actively mentors students through programs like Scholarship for Service (SFS) , CURS Research , and Phi Kappa Phi conferences. She leads the Digital Forensics & AI Research Lab (DFAIR Lab) in Augusta University's Georgia Cyber Center, fostering collaborations between academia, government, and industry.

Negin Nazarianمشاهده پروفایل

مدرس ارشد

• Urban Climate
• Climate Modeling
• Environmental Sensing
• +۳ مورد دیگر

Dr. Negin Nazarian is a Scientia Senior Lecturer at UNSW Sydney's School of Built Environment, with affiliations at the ARC Centre of Excellence for Climate Extremes and City Futures Research Centre. She leads the Climate-Resilient Cities (CRC) research lab, focusing on urban climate interactions through climate modeling, environmental sensing, and IoT technologies. Her work addresses urban heat exposure, ventilation, and multiscale urban canopy parameterizations.

Damien Fournierمشاهده پروفایل

پژوهشگر

• Computational Helioseismology
• Solar Physics
• Inverse Problems
• +۲ مورد دیگر

Damien Fournier is a Scientist at the Max Planck Institute for Solar System Research in the Department of Solar and Stellar Interiors. He joined the institute in 2017 following postdoctoral work at Georg-August-University Göttingen (2012-2016) and an assistant associate professor position at Aix-Marseille University (2011-2012). He holds a Ph.D. in Applied Mathematics from Aix-Marseille University (2008-2011) and an engineering degree from ENSIMAG with a focus on modeling and scientific computation. His research specializes in computational helioseismology , with dual focus areas: Forward modeling of wave propagation dynamics in solar interiors Inverse problem resolution for reconstructing interior perturbations from surface seismic measurements Secondary interests include Reynolds stress analysis, noise estimation methodologies, and Pinsker estimators for flow inversions. Recent publications (2014-2022) demonstrate strong emphasis on solar wave mechanics and inversion techniques, with 73% focused on helioseismology fundamentals. Dominant themes include: Solar Rossby wave dynamics under rotational effects (26% of recent works) Computational advancements in wave equation solutions and kernel development (33%) Meridional flow structure and convection zone dynamics (20%) He contributes to academic training through co-supervision of bachelor/master/PhD candidates. Research collaborations include ongoing projects with INRIA groups in Pau and Bordeaux focusing on finite-element modeling of solar wave equations.