Students
| Current Students: | |
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
| [2021] | Connecting the Other Half: Exploring Options for the 50% of the Population Unconnected to the Internet , In Telecommunications Policy, volume 45, 2021. ( )
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| [2022] | Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges , In International Astronautical Congress, 2022. ()
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| [2022] | Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges , In AI to Accelerate Science and Engineering Workshop at AAAI Conference on Artificial Intelligence 2022, 2022. ()
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| [2021] | Forecasting Internet Demand in a Satellite Communication Network Using Transfer Learning , In ASCEND 2021, 2021. ()
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| [2020] | Impact of the Lunar Gateway Location on the Human Landing System in case of Permanent Base at the Lunar South Pole , In International Astronautical Congress, 2020. ()
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| [2020] | Quantifying the Impact of Cryo-Management, ISRU, and Fuel Cell Lunar Technology Infusion to a Notional Mars LOX/LH2 Architecture , In 2020 IAC Conference, 2020. ()
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| [2020] | Benchmarking of Crewed Lunar and Mars Mission Architectures , In 2020 IAAA Ascend, 2020. ()
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Rei Iijima
Rei Iijima is a second-year master’s student in the System Design and Management program. She is interested in creating a comfortable and attractive sustainable society. Prior to MIT, Rei worked for the Ministry of Economy, Trade and Industry, Japan, and designed policies on the energy and electronics industry. She led the design of Japan’s Feed-in Premium, a financial support framework for integrating renewable energy into electricity markets. Rei holds an M.E. degree in Civil Engineering and a B.E. degree in Engineering from the University of Tokyo.Contact: rei2022@mit.edu
Mumin Khan
Mumin Khan is a second year master’s student in the System Design Management program and a member of the System Architecture Group at MIT. Mumin holds a Master’s in Data Science from UC Berkeley, where he researched machine learning models for aggregation detection in satellite imagery. He also holds a Bachelor’s of Science in Computer Science from the University of La Verne. Before joining MIT, he spent nearly a decade at NASA’s Jet Propulsion Laboratory, where he contributed to missions such as Surface Water Ocean Topography (SWOT) and Europa Clipper. Mumin is currently researching Battery Electric Vehicle (BEV) architectures.Contact: mumin@mit.edu
Kir Latyshev
Kir holds a Master's degree in Space and Engineering Systems from the Skolkovo Institute of Science and Technology, and two Bachelor’s degrees, in Rocket Engineering and in Management, from the Moscow Aviation Institute. Kir’s industry experience includes working for 8 years at the Energia Rocket Space Corporation where he was involved in trajectory design for the Corporation’s lunar projects. At MIT, his research interests include application of system architecting methodology to space exploration systems.
Contact: latyshev@mit.edu
| [2021] | Lunar Human Landing System Architecture Tradespace Modeling , In Acta Astronautica, volume 161, 2021. ()
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| [2020] | Technology Roadmap for Future Lunar Human Landing Systems , In ASCEND Conference, 2020. [bib] |
| [2020] | Impact of the Lunar Gateway Location on the Human Landing System in case of Permanent Base at the Lunar South Pole , In International Astronautical Congress, 2020. ()
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| [2020] | Quantifying the Impact of Cryo-Management, ISRU, and Fuel Cell Lunar Technology Infusion to a Notional Mars LOX/LH2 Architecture , In 2020 IAC Conference, 2020. ()
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Carlos Melgarejo
Carlos Melgarejo is a second-year SDM Master’s student. He received a Bachelor’s in Mechatronics Engineering from the National Autonomous University of Mexico (UNAM). Carlos has eight years of experience in vehicle wiring harness design at Ford Motor Company; his research interests include electric vehicle architecture and energy storageContact: cmelgare@mit.edu
Nils Pachler
Nils Pachler is PhD student in the System Architecture Group, in the AeroAstro department at MIT. He has completed a Masters in Aeronautics and Astronautics at MIT, and 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. Recently, Nils has also been involved in Wise Systems Inc., a company specialized in logistics optimization for delivery services. Within this company, Nils helped move forward the development of the core product to achieve a higher performance.
Contact: pachler@mit.edu
| [2024] | A Unified Resource Allocation Framework and Impact Evaluation for NGSO satellite constellations , In Aerospace Science and Technology, 2024. [bib] |
| [2024] | A scalable algorithm for User Grouping in LEO-MEO-HEO Hybrid Very High Throughput Satellite Constellations , In IEEE Transactions on Cognitive Communications and Networking, 2024. ()
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| [2022] | Frequency Plan Design for Multibeam Satellite Constellations Using Linear Programming (under review) , In IEEE Transactions on Wireless Communications, 2022. ()
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| [2020] | Static beam placement and frequency plan algorithms for LEO constellations , In International Journal of Satellite Communications and Networking, 2020. ()
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| [2024] | Satellite Routing for mobile users under uncertainty in High Throughput constellations , In IEEE Aerospace Conference, 2024. ()
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| [2022] | Beam-to-Satellite Scheduling for High Throughput Satellite Constellations Using Particle Swarm Optimization , In IEEE Aerospace Conference, 2022. ()
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| [2022] | Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges , In International Astronautical Congress, 2022. ()
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| [2022] | Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges , In AI to Accelerate Science and Engineering Workshop at AAAI Conference on Artificial Intelligence 2022, 2022. ()
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| [2022] | Dynamic Frequency Assignment for Mobile Users in Multibeam Satellite Constellations , In International Astronautical Congress, 2022. ()
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| [2021] | A Genetic Algorithm for Beam Placement in High-Throughput Satellite Constellations , In IEEE Cognitive Communications for Aerospace Applications Workshop, 2021. ()
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| [2021] | An Updated Comparison of Four Low Earth Orbit Satellite Constellation Systems to Provide Global Broadband , In IEEE International Workshop on Satellite Mega-Constellations in the 6G Era, 2021. ()
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| [2020] | Allocating Power and Bandwidth in Multibeam Satellite Systems using Particle Swarm Optimization , In 2020 IEEE Aerospace Conference, 2020. ()
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| [2020] | Artificial Intelligence Algorithms for Power Allocation in High Throughput Satellites: A Comparison , In 2020 IEEE Aerospace Conference, 2020. ()
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| [2022] | A complete resource allocation framework for flexible high throughput satellite constellations , Master's thesis, Massachusetts Institute of Technology Department of Aeronautics and Astronautics, 2022. ()
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| [2019] | Power and Bandwidth allocation for High-Throughput Satellites using Particle Swarm Optimization , Master's thesis, UPC BarcelonaTech, Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2019. ()
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Ben Waters
Ben Waters is a second year graduate student and MIT Lincoln Laboratory Fellow in the AeroAstro department. He holds a Bachelor’s degree in Astronautical Engineering from the United States Air Force Academy. His experience includes the Air Force FalconSAT program and an internship with the Johns Hopkins University Applied Physics Laboratory. His research interests include space systems architecting with a focus in orbital debris remediation and risk management.Contact: bwatr529@mit.edu
| [2024] | A Heliocentric Satellite Constellation for Continuous Solar Coverage and Space Weather Monitoring , In Aerospace Conference, IEEE, 2024. [bib] |