Students

Current Students:

Sydney Dolan
Sydney Dolan

Sydney Dolan

Sydney Dolan is a graduate student pursuing her PhD degree in the System Architecture Group in the Department of Aeronautics and Astronautics at MIT. In 2018, she graduated with highest distinction from Purdue University with a bachelor’s degree in Aerospace Engineering. Her research interests include satellite servicing and space system architectures. She has previously worked at the Aerospace Corporation, Blue Origin, and NanoRacks.

Contact: sydneyd@mit.edu

Conference Papers
[2020] Impact of the Lunar Gateway Location on the Human Landing System in case of Permanent Base at the Lunar South Pole (Kir Latyshev, Sydney Dolan, Skylar Eiskowitz, George Lordos, Matthew Moraguez, Alejandro Trujilo, Bruce G. Cameron, Oliver de Weck, Edward F. Crawley), In International Astronautical Congress, 2020. [bib]
[2020] Quantifying the Impact of Cryo-Management, ISRU, and Fuel Cell Lunar Technology Infusion to a Notional Mars LOX/LH2 Architecture (Skylar Eiskowitz, Sydney Dolan, Kir Latyshev, George Lordos, Matthew Moraguez, Alejandro Trujilo, Bruce G. Cameron, Oliver de Weck, Edward F. Crawley), In 2020 IAC Conference, 2020. (pdf) [bib]
[2020] Benchmarking of Crewed Lunar and Mars Mission Architectures (under review) (Skylar Eiskowitz, Sydney Dolan, Edward F. Crawley, Bruce G. Cameron), In 2020 IAAA Ascend, 2020. (pdf) [bib]
[2020] Autonomously deployed tower infrastrcture for exploration and communication in lunar permanently-shdowed regions (Sydney Dolan, Dava Newman), In 2020 Ascend Conference, 2020. (pdf) [bib]
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Skylar Eiskowitz
Skylar Eiskowitz

Skylar Eiskowitz

Skylar Eiskowitz is a second year graduate student and NSF Fellow in the AeroAstro department. Prior to MIT, she received her B.S. in Mechanical Engineering from The Cooper Union for the Advancement of Science and Art in New York City. She is interested in applying techniques for analyzing complex systems to a wide range of industries. As an undergraduate, Skylar interned at Avascent under the Brooke Owens Fellowship, and after graduating, she interned at The Aerospace Corporation.

Contact: eiskowit@mit.edu

Journal Articles
[2020] Connecting the Other Half: Exploring Options for the 50% of the Population Unconnected to the Internet (under review) (Inigo del Portillo, Skylar Eiskowitz, Edward F. Crawley, Bruce G. Cameron), In Telecommunications Policy, 2020. (pdf) [bib]
Conference Papers
[2020] Impact of the Lunar Gateway Location on the Human Landing System in case of Permanent Base at the Lunar South Pole (Kir Latyshev, Sydney Dolan, Skylar Eiskowitz, George Lordos, Matthew Moraguez, Alejandro Trujilo, Bruce G. Cameron, Oliver de Weck, Edward F. Crawley), In International Astronautical Congress, 2020. [bib]
[2020] Quantifying the Impact of Cryo-Management, ISRU, and Fuel Cell Lunar Technology Infusion to a Notional Mars LOX/LH2 Architecture (Skylar Eiskowitz, Sydney Dolan, Kir Latyshev, George Lordos, Matthew Moraguez, Alejandro Trujilo, Bruce G. Cameron, Oliver de Weck, Edward F. Crawley), In 2020 IAC Conference, 2020. (pdf) [bib]
[2020] Benchmarking of Crewed Lunar and Mars Mission Architectures (under review) (Skylar Eiskowitz, Sydney Dolan, Edward F. Crawley, Bruce G. Cameron), In 2020 IAAA Ascend, 2020. (pdf) [bib]
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juan jose garau
Juan José Garau Luis

Juan José Garau Luis

Juan José is a PhD candidate in the System Architecture Group/Engineering Systems Lab of the AeroAstro department at MIT. He works on the application and deployment of Machine Learning algorithms to address complex real-world problems, such as Dynamic Resource Management in satellite communications and molecular optimization. In 2017, under the CFIS program, he received two BSc degrees in Telecommunications Engineering and Industrial Engineering from Universitat Politècnica de Catalunya, in Spain. Earlier that year, he was a visiting student at the System Architecture Group, where he carried out his Bachelor Thesis on the architecture design of a large-scale IoT network. He previously worked as a data scientist at Arcvi and at Barcelona Supercomputing Center. In 2019 he was awarded a La Caixa fellowship. In 2020, he received his Master's degree in Aerospace Engineering from MIT. Later that year, he interned at Novartis AI Innovation Lab. His research interests include autonomous systems, Deep Reinforcement Learning, and real-world decision-making.

Contact: garau@mit.edu

Conference Papers
[2021] Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design (Juan Jose Garau Luis, Edward F. Crawley, Bruce G. Cameron), In 2021 IEEE Aerospace Conference, 2021. (pdf) [bib]
[2020] Allocating Power and Bandwidth in Multibeam Satellite Systems using Particle Swarm Optimization (Nils Pachler, Juan Jose Garau Luis, Markus Guerster, Edward F. Crawley, Bruce G. Cameron), In 2020 IEEE Aerospace Conference, 2020. (pdf) [bib]
[2020] Policy Gradient RL Algorithms as Directed Acyclic Graphs (Juan Jose Garau Luis), In arXiv, 2020. (pdf) [bib]
[2020] Artificial Intelligence Algorithms for Power Allocation in High Throughput Satellites: A Comparison (Juan Jose Garau Luis, Nils Pachler, Markus Guerster, Inigo del Portillo, Edward F. Crawley, Bruce G. Cameron), In 2020 IEEE Aerospace Conference, 2020. (pdf) [bib]
[2019] Problem representation of dynamic resource allocation for flexible high throughput satellites (Markus Guerster, Juan Jose Garau Luis, Edward F. Crawley, Bruce G. Cameron), In 2019 IEEE Aerospace Conference, 2019. (pdf) [bib]
[2019] Deep Reinforcement Learning Architecture for Continuous Power Allocation in High Throughput Satellites (Juan Jose Garau Luis, Markus Guerster, Inigo del Portillo, Edward F. Crawley, Bruce G. Cameron), In Reinforcement Learning for Real Life Workshop at 2019 International Conference on Machine Learning, 2019. (pdf) [bib]
[2019] Deep Reinforcement Learning for Continuous Power Allocation in Flexible High Throughput Satellites (Juan Jose Garau Luis, Markus Guerster, Inigo del Portillo, Edward F. Crawley, Bruce G. Cameron), In 2019 IEEE Cognitive Communications for Aerospace Applications Workshop, 2019. (pdf) [bib]
[2018] System Architecture for Tracking Passengers inside an Airport Terminal Using RFID (Juan Jose Garau Luis, Marc Sanchez Net, Bruce G. Cameron, Edward F. Crawley), In 2018 IEEE Aerospace Conference, 2018. (pdf) [bib]
Theses
[2020] A Comparison of Artificial Intelligence Algorithms for Dynamic Power Allocation in Flexible High Throughput Satellites (Juan Jose Garau Luis), Master's thesis, Massachusetts Institute of Technology Department of Aeronautics and Astronautics, 2020. (pdf) [bib]
[2017] Architecting Internet of Aerospace Things: A System For Tracking Passengers Inside An Airport Terminal (Juan Jose Garau Luis), Master's thesis, UPC BarcelonaTech, Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2017. (pdf) [bib]
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nils pachler
Nils Pachler

Nils Pachler

Nils Pachler is an incoming student in the System Architecture Group, in the AeroAstro department at MIT. He has completed a double BS degree in Informatics Technology and Aerospace Engineering under the CFIS (Interdisciplinary Higher Education Centre) program from Universitat Politècnica de Catalunya. Nils carried out his Bachelor Thesis at MIT on dynamic allocation of resources in a multibeam satellite system.

Nils has previous research experience in the ARCO research group at UPC. This group is specialized in hardware accelerators and neural networks. Within this group, Nils tried to replicate the current state of the art in speech translation neural networks models.He has also previously worked at LudiumLab, a Spanish company for playing videogames on the cloud. Nils was the main responsible of the core product of the company, as well as one of the researchers of future improvements. He mainly worked in video and audio codification algorithms and hardware encoders.

Contact: pachler@mit.edu

Journal Articles
[2020] Static beam placement and frequency plan algorithms for LEO constellations (Nils Pachler, Markus Guerster, Inigo del Portillo, Edward F. Crawley, Bruce G. Cameron), In International Journal of Satellite Communications and Networking, 2020. (pdf) [bib]
Conference Papers
[2021] A Genetic Algorithm for Beam Placement in High-Throughput Satellite Constellations (Nils Pachler, Edward F. Crawley, Bruce G. Cameron), In IEEE Cognitive Communications for Aerospace Applications Workshop, 2021. (pdf) [bib]
[2021] An Updated Comparison of Four Low Earth Orbit Satellite Constellation Systems to Provide Global Broadband (Nils Pachler, Inigo del Portillo, Edward F. Crawley, Bruce G. Cameron), In IEEE International Workshop, 2021. (pdf) [bib]
[2020] Allocating Power and Bandwidth in Multibeam Satellite Systems using Particle Swarm Optimization (Nils Pachler, Juan Jose Garau Luis, Markus Guerster, Edward F. Crawley, Bruce G. Cameron), In 2020 IEEE Aerospace Conference, 2020. (pdf) [bib]
[2020] Artificial Intelligence Algorithms for Power Allocation in High Throughput Satellites: A Comparison (Juan Jose Garau Luis, Nils Pachler, Markus Guerster, Inigo del Portillo, Edward F. Crawley, Bruce G. Cameron), In 2020 IEEE Aerospace Conference, 2020. (pdf) [bib]
Theses
[2019] Power and Bandwidth allocation for High-Throughput Satellites using Particle Swarm Optimization (Nils Pachler), Master's thesis, UPC BarcelonaTech, Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2019. (pdf) [bib]
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sergi aliaga
Sergi Aliaga

Sergi Aliaga

Sergi Aliaga is a visiting undergraduate researcher in the System Architecture Group/Engineering Systems Lab of the AeroAstro department at MIT. At the moment, he is completing his Bachelor Thesis on algorithm development to address the Dynamic Resource Management problem in satellite communication systems. The Thesis serves as keystone for the double BSc degrees he is pursuing in Telecommunications Engineering and Industrial Engineering at Universitat Politècnica de Catalunya, under the CFIS (Interdisciplinary Higher Education Centre) program. As an undergraduate, Sergi interned at Zanini Auto Group and attended events about other disciplines, such as ML. His academic interests include space communication, mathematical optimization and signal processing (ranging from most common multiple access techniques to latest AI/ML advancements)

Theses
[2021] Hyperparameter configuration of a frequency optimization algorithm for multi-beam satellite constellations (Sergi Aliaga), Master's thesis, Massachusetts Institute of Technology Department of Aeronautics and Astronautics, 2021. (pdf) [bib]
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