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Timothy MoroneyView profile

Professor

• Computational Mathematics
• High Performance Computing
• Surface Reconstruction
• +4 more

Professor Timothy Moroney holds the position of Professor in Mathematics at Queensland University of Technology (QUT), within the School of Mathematical Sciences. His research focuses on computational mathematics, high-performance computing, and their applications in fluid dynamics, agrichemical retention, and fractional diffusion phenomena. He earned his PhD from QUT and has contributed extensively to interdisciplinary projects including surface reconstruction from 3D laser scans for agricultural applications, droplet evaporation modeling on plant surfaces, and ship wake pattern analysis. His work bridges theoretical mathematics with practical engineering solutions. Key research areas include: Surface reconstruction using scattered data interpolation Mathematical modeling of droplet dynamics on heterogeneous surfaces Time-frequency analysis of ship-generated wave patterns Distributed-order fractional differential equations for nonlocal diffusion He has secured multiple Australian Competitive Grants, including projects on fractional models, ship wakes, and agrichemical retention. His awards include the Vice-Chancellor's Performance Award (2016) and Senior Fellow of the Higher Education Academy (2017). Teaching responsibilities include foundational mathematics units focused on computational problem-solving and linear algebra applications in big data.

Karen DanielsView profile

Professor

• Granular Materials
• Soft Matter Physics
• Nonlinear Dynamics
• +5 more

Karen Daniels is a Distinguished Professor in the Department of Physics at North Carolina State University (NCSU), where she has been since 2005. Her research focuses on the non-equilibrium dynamics of granular materials, fluids, gels, and disordered metamaterials, with applications to geophysics, industrial processes, and climate change. She has held prestigious fellowships, including the Alexander von Humboldt Foundation (2011–2012) and a Fulbright-Nehru Fellowship (2023). Daniels serves on the editorial board of Annual Reviews of Condensed Matter Physics and previously chaired the American Physical Society's Division of Soft Matter. Education: PhD in Physics from Cornell University (2002), BA in Physics from Dartmouth College (1994). Research Interests: The group explores failure mechanisms, pattern formation, and phase transitions in granular and soft matter systems. Recent work includes forecasting landslides using network science, studying interfacial tension in liquid metals, and analyzing granular rheology under varying boundary conditions. Experiments are often coupled with theoretical models to understand fundamental principles and real-world applications. Awards: Multiple honors include AAAS and APS Fellowships, the NCSU Equity for Women Award (2015), and NSF CAREER Award (2007). Advising & Grants: Daniels has mentored numerous students and postdocs, many of whom have pursued academic and industry roles. Her lab collaborates internationally, with recent projects involving the Max Planck Institute and the Indian Institute of Science. Current efforts include using satellite data for landslide prediction and investigating granular dynamics in microgravity. Labs/Teams: The group emphasizes interdisciplinary collaboration, combining physics, engineering, and computational approaches. Alumni have diverse careers in academia, government, and private sectors.

Hans HallenView profile

Professor

• Nanoscale optical spectroscopy
• Carrier dynamics in semiconductors
• Plasmon resonance
• +4 more

Professor Hans Hallen is a faculty member in the Physics Department at North Carolina State University. He holds a BS in Engineering Physics from Cornell University (1984), and MS/PhD in Applied Physics from Cornell (1986/1991). His career includes postdoctoral work at AT&T Bell Labs (1991-1993), where he pioneered the scanning Hall probe microscope. Currently, his research focuses on nanoscale optical spectroscopy, microwave propagation, and nano-bioprobes for cellular studies. Research interests include nanoscale carrier dynamics in silicon, gradient-field Raman spectroscopy near metallic nanostructures, and novel material approaches for 3D RF wafer packaging. His work bridges physics, materials science, and engineering with applications in wireless communications and nanoscale imaging. Recent publications (2019-2023) address challenges in mmWave signal blockage prediction using machine learning, dynamic control of optical surfaces via liquid metals, and self-alignment techniques in semiconductor manufacturing. His nano-bioprobe innovations enable intracellular signal transduction studies and nuclear manipulation within cells. Professor Hallen leads interdisciplinary projects involving scanning probe microscopy, molecular deposition with nanoscale resolution, and Raman lidar techniques. His work emphasizes practical applications of fundamental physics discoveries in emerging technologies.

Alexandra AlickeView profile

Assistant Professor

• Soft Materials
• Interfacial Rheology
• Multiphase Materials
• +3 more

Dr. Alexandra Alicke is an Assistant Professor in the Processing and Performance group at Eindhoven University of Technology (TU/e), affiliated with the Institute for Complex Molecular Systems and her own research group, Group Alicke. Her expertise lies in the interplay between structure and mechanical properties in soft materials, particularly focusing on interfacial rheology in multiphase systems such as emulsions and foams. She holds a PhD from ETH Zurich (2021) and prior academic roles at PUC-Rio, where she also earned her B.Sc. (2011) and M.Sc. (2013) in Mechanical Engineering. Notably, she received three academic excellence awards during her undergraduate studies. Her research explores how processing conditions influence the stability of soft materials, with applications spanning biomedical, food, and energy sectors. Key areas include designing interfacial properties for stability (e.g., food products) and destabilization mechanisms for targeted drug delivery or electrocoalescence. She collaborates with academic and industrial partners, including Statoil and Petrobras, and has been supported by grants from the Swiss National Science Foundation and the Norwegian Research Council’s JIP Electrocoalescence Consortium. Alicke’s work integrates experimental rheology (both bulk and interfacial) with microstructural analysis, addressing both fundamental science and industrial challenges. She supervises BSc and MSc thesis projects on rheology, material processing, and experimental design, fostering innovation in soft materials engineering. Her scientific awards include three academic excellence awards during her B.Sc. at PUC-Rio. Grants and collaborations have been pivotal, with funding from institutions like ETH Zurich and the Norwegian Research Council. She leads the Group Alicke at TU/e, focusing on advancing the understanding of elastoviscoplastic interfaces and their technological applications.

• Carbon nanomaterials
• Conducting polymers
• Nanocomposites
• +3 more

Dr. Tung Tran is a Lecturer and ARC Grant-Funded Researcher (B) at the School of Chemical Engineering, University of Adelaide. He leads research in carbon nanomaterials, conducting polymers, and nanocomposites for sensor and biomedical applications. With a PhD from Korea University (2010), he has held postdoc positions at institutions including the University of South Brittany (France) and Strasbourg University. His work focuses on advanced material design for applications in environmental sensing, energy storage, and medical diagnostics. Key contributions include graphene/MOF hybrid sensors, nanocomposite piezoresistive materials, and functional coatings. He has secured over $1.8M in grants and published >100 SCI articles with an h-index of 42. Research interests span nanomaterial synthesis, functional coatings, and biomedical nanotechnology. His lab develops sensor technologies integrating machine learning for enhanced performance in detecting VOCs, pathogens, and cancer biomarkers. He explores novel applications of 2D materials for radiation shielding, energy storage systems (e.g., vanadium flow batteries), and anti-corrosion coatings. Grants: ARC Discovery, ARC Linkage, industrial partnerships Patents: 5 granted, focusing on nanomaterial fabrication and sensor designs Collaborations: Global networks in Europe, Asia, and Australia Supervision: Open to PhD/Masters candidates in materials science and engineering Recent work includes machine learning-enhanced chemiresistive sensors for toxic substance detection, magnetic nanowire-based RNA extraction systems, and superhydrophobic coatings for anti-icing applications. His research bridges nanotechnology with real-world challenges in healthcare, environment, and energy sectors.

Are StrandlieView profile

Professor

• High Energy Physics (HEP)
• Particle Physics
• Data Analysis
• +3 more

Are Strandlie is a Professor at the Physics Institute of the University of Oslo . His research focuses on high energy physics data analysis, particle tracking algorithms, and material science applications in additive manufacturing. Previously, he held roles at CERN and Gjøvik University College. Education: cand. scient., Theoretical Physics, University of Oslo (1995) dr. scient., Experimental Particle Physics, University of Oslo (2000) Research Interests: His work spans advanced track reconstruction methods, particle mass determination, and computational material science. Recent projects include durability analysis of composite materials and optical properties in 3D printing. His research is published in journals like Journal of High Energy Physics and Materials & Design . Grants & Labs: Collaborates with teams like the ATLAS experiment at CERN. Active in material jetting and intermetallic compound studies. No specific grants mentioned in the text.

• Electronics Engineering
• Renewable Energy Systems
• Sensor Systems
• +4 more

José Antonio Jiménez Calvo is an Associate Professor at the University of Alcalá, affiliated with the Department of Electronics. He leads the GEISER research group focused on Electronic Engineering Applied to Renewable Energy Systems. His academic background includes a Doctorate from the University of Alcalá (2004), where his thesis explored ultrasonic classification and localization techniques supervised by Dr. Manuel Ramón Mazo Quintas and Dr. Jesús Ureña Ureña. Jiménez Calvo's research spans advanced sensor systems, signal processing, and infrastructure monitoring. Key areas include railway safety (e.g., rail breakage detection via PCA), renewable energy systems, and ultrasonic applications for 3D object recognition. His work integrates artificial neural networks, adaptive sonar technologies, and algorithmic improvements for precision in manufacturing and environmental monitoring. Publications highlight contributions to sensor fusion for obstacle detection, short-circuit impedance characterization, and quality control in pharmaceutical glass production. Though no formal awards are listed, his prolific output (over 20 publications from 2003–2018) demonstrates sustained academic impact. No advisory roles or grants are explicitly mentioned, but his involvement in projects like SIAMO (assisted mobility) underscores applied engineering applications. Labs/Teams: Primary affiliation with the GEISER group, collaborating on interdisciplinary projects blending electronics with renewable energy and transportation safety systems.

Beiwen LiView profile

Associate Professor

• High-speed 3D Optical Sensing
• Additive Manufacturing
• Remanufacturing Processes
• +3 more

Dr. Beiwen Li is an Associate Professor of Mechanical Engineering at the University of Georgia. Previously, he held positions at Iowa State University as an Assistant and Associate Professor, including the William and Virginia Binger Endowed Professorship. His research focuses on high-speed 3D optical sensing, with applications in manufacturing and remanufacturing processes. His work has been featured in top journals like Optics Express and Applied Optics. Dr. Li’s expertise spans optical metrology, additive manufacturing, and robotics. He has developed advanced techniques in structured light scanning, fringe projection profilometry, and hyperspectral imaging. His lab has secured funding from NSF, REMADE Institute, DOE, and industrial partners. Key Research Themes: 3D surface topography monitoring, corrosion analysis, robotic assembly, and AI-driven manufacturing. Awards: 2020 SPIE Rising Researcher Award, 2024 SME Outstanding Young Engineer Award, and multiple early-career recognitions. His recent publications emphasize real-time monitoring of additive manufacturing processes, unifying optical sensing with machine learning for quality assurance. He pioneered systems like VR Co-Lab for human-robot collaboration and autonomous robotic scanning for smart factories. Dr. Li leads the Riverbend Research Lab North, integrating experimental and computational methods to solve industrial challenges in precision engineering and manufacturing sustainability.

• Photogrammetry
• 3D Digitization
• Reverse Engineering
• +4 more

Željko Santoši is an Assistant Professor in the Chair of Metrology, Quality, Equipment, Tools, and Ecological-Engineering Aspects at the Faculty of Technical Sciences, University of Novi Sad. His academic roles include serving as Secretary of Chair since 2021. He holds a PhD in Mechanical Engineering (2020) and has been with the faculty since 2013, progressing through roles like Teaching Associate and Assistant with PhD. His research focuses on 3D digitization techniques using photogrammetry, reverse engineering applications in art and dentistry, and metrology for industrial quality control. Notable projects include developing photogrammetric systems for dental models and analyzing multi-material components via computed tomography. He has published extensively in journals like Measurement , Facta universitatis - series: Mechanical Engineering , and Tehnički vjesnik - Technical Gazette . His work bridges computer vision, manufacturing engineering, and biomedical applications.

• Non-thermal atmospheric pressure plasma
• Dielectric barrier discharge physics
• Biomedical engineering
• +4 more

Halim Ayan, Ph.D., is an Associate Professor of Bioengineering in the College of Engineering at the University of Toledo, Ohio, USA, where he teaches courses in both bioengineering and mechanical engineering. He previously held faculty appointments at Murray State University and the University of Kentucky. Education B.Sc. (summa cum laude), Mechanical Engineering, Ege University, Turkey, 2001 Ph.D., Mechanical Engineering and Mechanics, Drexel University, USA, 2009 Research Focus Dr. Ayan's laboratory investigates the physics of non-thermal atmospheric-pressure dielectric barrier discharge (DBD) plasmas and translates these insights into biomedical technologies. Core areas include sterilization of medical devices and surfaces, targeted cancer therapy, biofilm eradication, and plasma-enabled biofabrication. His work combines experimental plasma physics, biological assays, mathematical modelling, and translational studies. Recent publications reveal an emphasis on plasma-induced modulation of macrophage phenotypes, induction of apoptosis in lung carcinoma cells, and synergistic antimicrobial strategies combining plasma with chemical agents. Mathematical modelling efforts further advance understanding of plasma–biofilm interactions and diffusion kinetics. Scientific Awards & Recognition Principal Investigator on 2 NSF grants, 1 NIH grant, and 2 USAF-MDA grants Founding member, International Society of Plasma Medicine Founding member, International Society for Biofabrication Published 1 book, 2 book chapters, 18 peer-reviewed journal articles, and 2 patents Invited podium presentations at numerous international conferences Research Support & Collaborations Dr. Ayan has secured competitive federal funding totaling multiple awards from NSF, NIH, and the U.S. Air Force Missile Defense Agency (USAF-MDA). His research team collaborates across disciplines, integrating plasma physics, cancer biology, tissue engineering, and materials science to develop next-generation plasma-based therapeutic and sterilization technologies. Laboratory & Facilities His laboratory at the University of Toledo houses custom-built atmospheric-pressure plasma sources, advanced optical and electrical diagnostics, cell-culture suites, 3D bioprinting platforms, and microscopy/imaging systems to support multifaceted plasma-biomedical research programs.

Llado Bardera, XavierView profile

Professor

• Medical Image Analysis
• Computer Vision
• Image Processing
• +11 more

Xavier Lladó Bardera is a Full Professor and ICREA Academia at the University of Girona, affiliated with the Department of Computer Architecture and Technology and the Computer Vision and Robotics Institute (VICOROB). He holds a PhD in Computer Engineering from the University of Girona and completed postdoctoral research at Queen Mary, University of London. B.S. in Computer Science, University of Girona (1999) Ph.D. in Computer Engineering, University of Girona (2004) Post-doctoral Research Assistant, Queen Mary, University of London (2004–2006) His research centers on medical image analysis, particularly in brain MRI, multiple sclerosis, prostate imaging, and deep learning. He has made significant contributions to lesion segmentation, tissue classification, and image registration, with a focus on clinical translation. His work integrates advanced computer vision techniques with biomedical applications, leveraging deep learning, non-rigid modeling, and multimodal imaging. The recent publications reflect a strong trend in deep learning for medical image analysis, especially in stroke, multiple sclerosis, and neonatal imaging. Key themes include lesion segmentation, hematoma expansion prediction, brain atrophy quantification, and end-to-end deep learning frameworks. There is a clear emphasis on clinical applicability, model interpretability, and handling real-world imaging challenges. Scientific Awards and Recognition: Best Project Prize – MAIA Master (Mladen Rakic, 2019) Best Project Prize – VIBOT Master (Jose Bernal, 2017) Best Project Prize – EINF Degree Project (E. Roura, 2011) Best Project Prize – EINF Degree Project (M. Cabezas, 2009) Best Project Prize – ETIG Degree Project (C. Fontanella, 2009) Best Paper Prize – Pattern Recognition (J. Salvi et al., 2010) Dr. Lladó has supervised over 20 PhD and master’s students, many of whom have continued in academia or industry (e.g., Icometrix, Johns Hopkins). He has been involved in numerous research grants and technology transfer initiatives, particularly in CAD systems for breast imaging and MS monitoring tools. His group actively collaborates with clinical partners, ensuring translational impact. He leads the NIC group at the VICOROB Institute, focusing on neuroimage computing and deep learning applications in neurology. The team develops open-source tools and participates in international challenges (e.g., BraTS, WMH), contributing to standardized evaluation in medical image analysis.

Leah BuechleyView profile

Associate Professor

• Human Computer Interaction
• Computational Design and Fabrication
• Computer Science Education
• +7 more

Leah Buechley is an Associate Professor in the Department of Computer Science at the University of New Mexico, College of Engineering. She previously served as an associate professor at the MIT Media Lab, where she founded and directed the High-Low Tech group. Her work lies at the intersection of computer science, art, design, and education, with a mission to broaden participation in technology creation. Education: PhD in Computer Science, University of Colorado at Boulder, 2007 MS in Computer Science, University of Colorado at Boulder, 2003 BA in Physics, Skidmore College, 1997 Her research focuses on developing accessible technologies for learning and creative expression. She is renowned for inventing the LilyPad Arduino, a sewable electronics platform that has revolutionized educational approaches to physical computing. Her interests include computational design and fabrication, human-computer interaction, computer science education (especially CS4All), ubiquitous computing, and strategies to increase diversity in STEM fields. The recent research projects reflect a strong trend toward sustainable, material-driven innovation in digital fabrication. Themes include biodegradable and waste-based materials (eggshell, clay), open-source software for 3D printing (slicers), speculative design, and the integration of art, mathematics, and computation in ceramics and public installations. Scientific Awards: NSF CAREER Award 2017 Edith Ackerman Award for Interaction Design and Children Leah Buechley has advised numerous students through her research groups at MIT and UNM, though specific names are not listed. Her work has been supported by significant grants, including the NSF CAREER award, which funds her efforts in inclusive technology education. She leads interdisciplinary research involving engineers, artists, and educators. Her current lab at UNM explores computational materials and fabrication, continuing the legacy of the High-Low Tech group. Projects like ColdGlass, CeraMetal, and WeaveSlicer demonstrate a focus on expanding the material possibilities of desktop 3D printing, while PAHTIA and Directions for Degradation highlight her engagement with interactive art and ecological thinking.

Martin MillerView profile

Assistant Professor

• Computational Design
• Digital Fabrication
• Artificial Intelligence in Architecture
• +7 more

Martin Miller is an Assistant Professor of the Practice in the Department of Architecture at Cornell University's College of Architecture, Art, and Planning (AAP). He is also the co-founder of AntiStatics Architecture, a design practice based in Beijing and New York City, where he explores the intersection of digital technologies, architecture, and social impact. His teaching focuses on computational design, artificial intelligence, simulation, and robotic fabrication in graduate studios. Miller holds a Master of Architecture from the University of Pennsylvania and a B.F.A. in Sculpture with a minor in Mathematics. His educational background deeply informs his interdisciplinary approach to design and technology. His research and design practice center on the manipulation of complexity across spatial, structural, social, and cultural dimensions. He employs digital and computational tools to manage design intricacies and develop innovative fabrication methods. Key interests include AI in architecture, big data urban analysis, responsive installations, and the development of new design languages through collaboration. His work often bridges academic research and real-world application, particularly in urban contexts facing systemic disparities. The recent design projects and studio work reflect a strong trend toward socially engaged architecture, data-driven urbanism, and experimental fabrication techniques. Themes of adaptability, responsiveness, and systemic thinking recur across his built works and pedagogical projects, from the Pussy Hut to the Ou-River Crystal Box Restaurant and the Defunding the Police studio initiative. Martin Miller has not been publicly recognized with formal scientific awards, but his work has been exhibited and discussed in major design forums, including Beijing Design Week and the Winter Stations competition. He actively mentors students through studio teaching at Cornell AAP, emphasizing adaptability, originality, and engagement with emerging technologies. His practice operates as a collaborative lab, integrating academic inquiry with fast-paced design development, particularly in China’s dynamic construction environment. AntiStatics Architecture functions as both a design office and a research platform, exploring the future of architectural practice in a digitally saturated world. Miller leads AntiStatics Architecture as a transnational collaborative studio, maintaining offices in Beijing and Ithaca. The team uses digital tools to sustain a 24-hour workflow across time zones, enabling rapid project development and innovation. The practice emphasizes experimental methods, material research, and social responsiveness, functioning as a living laboratory for architectural ideas.

Cyrus PeñarroyoView profile

Assistant Professor

• Architecture
• Urbanism
• Digital Media
• +5 more

Cyrus Peñarroyo is a Filipino-American designer and educator currently serving as an Assistant Professor at the University of Michigan Taubman College of Architecture + Urban Planning. He co-founded the design collaborative EXTENTS in 2017 with McLain Clutter, focusing on intersections between architecture, urbanism, media, and digital culture. His work explores digital tools, spatial justice, and the material consequences of image production. 2019 Architectural League Prize for Young Architects + Designers ACSA Faculty Design Award Honorable Mention Peñarroyo's projects like Online/On-site (Detroit digital divide mapping) and Lossy/Lossless (Los Angeles installation) interrogate digital infrastructure's impact on urban life. He has exhibited internationally at venues including the Venice Biennale, Harvard GSD, and Parsons School of Design. His research engages computational design, media theory, and post-digital materiality, often through collaborative installations and speculative urban proposals. Grants from Taubman College and the Graham Foundation support his community-focused design experiments.

• DNA-based nanotechnology
• Biomaterials design
• Programmable self-assembly
• +3 more

Jason Kahn is a researcher at Brookhaven National Laboratory, specializing in DNA-based nanotechnology and programmable self-assembly of functional materials. He holds a PhD in Biological Engineering from Cornell University. BS in Biological Engineering, Cornell University PhD in Biological Engineering (Materials Science concentration), Cornell University His research focuses on leveraging DNA self-assembly to create nanoscale materials with precise structural organization, including nanoparticles, quantum dots, and proteins. This work integrates automated synthesis platforms and machine learning to advance experimental capabilities in biomaterials design. Recent publications highlight his contributions to DNA origami scaffolding, enzymatic catalysis on nanoscale frameworks, and light-responsive gold nanoparticle superlattices. His work bridges nanotechnology, biochemical engineering, and materials science through innovative programmable assembly techniques. At Brookhaven, Kahn develops automated liquid handling systems for materials synthesis and characterization, while exploring applications in biotemplating and stimuli-responsive materials. His affiliations include previous postdoctoral appointments at Columbia University and The Hebrew University of Jerusalem.