School of Engineering
Showing 241-260 of 314 Results
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Iro Armeni
Assistant Professor of Civil and Environmental Engineering
BioIro Armeni is Assistant Professor of Civil and Environmental Engineering. She is interested in interdisciplinary research between Architecture, Civil Engineering, and Visual Machine Perception. Iro focuses on developing quantitative and data-driven methods that learn from real-world visual data to generate, predict, and simulate new or renewed built environments that place the human in the center. Iro's goal is to create sustainable, inclusive, and adaptive built environments that can support our current and future physical and digital needs. As part of her research vision, she is particularly interested in creating spaces that blend from the 100% physical (real reality) to the 100% digital (virtual reality) and anything in between, with the use of Mixed Reality.
Iro completed her PhD at Stanford University on August 2020, Civil and Environmental Engineering Department, with a PhD minor at the Computer Science Department. Afterwards she was a Postdoctoral Fellow at ETH Zurich working at both the Computer Science and Civil, Environmental, and Geomatic Engineering Departments (2023). Prior to her PhD, she received an MSc in Computer Science (Ionian University-2013), an MEng in Architecture and Digital Design (University of Tokyo-2011), and a Diploma in Architectural Engineering (National Technical University of Athens-2009). She has also worked as an architect and consultant for both the private and public sector.
Iro is the recipient of the ETH Zurich Postdoctoral Fellowship, the Google PhD Fellowship, and the MEXT Scholarship. -
Ryan Michael Aronson
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2018
BioI am a sixth year PhD student in the Institute for Computational and Mathematical Engineering (ICME). I am mainly interested in developing numerical methods with applications to computational mechanics and fluid dynamics. I am particularly interested in high-order, structure-preserving, finite element, and isogeometric methods. Prior to coming to Stanford, I earned a B.S. in Aerospace Engineering Sciences at the University of Colorado Boulder, where I worked with Professor John Evans on residual-based variational multiscale turbulence modeling, isogeometric, structure-preserving collocation methods, and stabilized isogeometric collocation methods. Currently I work with Professor Hamdi Tchelepi on stabilized methods for compositional geomechanics problems. I have also had the pleasure of working industry internships with Meta Reality Labs, TotalEnergies, Walt Disney Animation Studios, and SLB.
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Serhat Arslan
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
Current Research and Scholarly InterestsNetwork intelligence
There are 2 main aspects of network management:
Sensing
- Collecting useful and enough amount of information from the network is essential for modern, data-centric decision processes to work well.
Frameworks such as In-band Network Telemetry could be utilized to collect precise information on every single packet in the network.
Control
- Modern data science methodologies allow engineers to infer about the state of the network.
Naturally, the next step is to design tailored control algorithms that would utilize available resources the best.
Potential methods include, but not limited to, machine learning algorithms and control theory.