Kenichi Sasaki Email : [email protected] Mobile : +1-720-725-0775

Education University of Colorado Boulder Boulder, CO • PhD Course in Aerospace Engineering and Sciences; GPA: 4.0 Aug 2019 – Present Tokyo Institute of Technology Tokyo, Japan • Master of Engineering in Mechanical Engineering; GPA: 3.48 Apr 2016 – Mar 2019 Georgia Institute of Technology Atlanta, GA • Non-degree seeking Program in Aerospace Engineering; GPA: 3.50 Aug 2016 – May 2017 Tokyo Institute of Technology Tokyo, Japan • Bachelor of Engineering in Mechano-Aerospace Engineering; GPA: 3.39 Apr 2012 – Mar 2016 Technical Skills

C, C++, C#, Python, R, Docker, QGIS, Windows, Mac OS, Simulink, Thermal Desktop, MATLAB, VHDL, VBA, HTML, Linux, Ubuntu, AWS, Google Machine Learning Techniques, CSS, JavaScript, Visual Studio, Colab, Photoshop, AutoCAD, Optimizations, Algorithms Eclipse, Sublime Text, Vim, Git, SolidWorks, Creo, ABAQUS,

Research Marine and Coastal Debris Detection and Flow Prediction • Debris detection with hyperspectral Earth imagery with machien learning techniques Dec 2019 – Present ◦ Summary: Marine plastic detection with hyperspectral images associating with local costal data ◦ Technique: Detecting and tracking plastic from SWIR band in satellite imagery cooperating with ground based sensors and observations. High Resolution Earth Imagery Object Detection combining GIS • Object Detection with high resolution Earth imagery with unsupervised learning Aug 2019 – Present ◦ Summary: Unsupervised clustering with high resolution Earth Imagery utilizing GIS as annotation data ◦ Technique: Combining GPS and GIS information to object detection algorithm provides the detail spacial distribution and saves annotating costs for supervised learning. Satellite’s On-board Image Feature Detection by Neural Network • On-orbit Image recognition with wide-angle earth camera Apr 2016 – Mar 2019 ◦ Summary: On-orbit image recognition using on-board computer aims to be applied to attitude sensors and real-time monitoring ◦ Technique: Two different neural network is developed to efficiently detect and classify geographical and meteorological feature and implemented on on-board computer.

Awards • Tokyo Tech Engineering Science Awards(2016)

• KDDI Foundation Scholarship for Japanese Graduate Students Learning Abroad(2019)

Projects Coastal Cleanup using Satellite and Drone CU Boulder • Data analysis with hyperspectral satellite imagery Dec 2019 - Present ◦ Summary: Joint Project between industry and academia to predict the marine debris flow near the east coast of Eurasian Continent. ◦ Image Analysis: Implement the debris detection and classification architecture and analyze the debris flow combining with ocean current data and local debris observation by local researchers. Deep Learning Attitude Sensor (DLAS) project Tokyo Tech • Development of attitude sensor for satellite component Jan 2016 - Aug 2019 ◦ Summary: Demonstration for brand-new method for attitude determination of satellites using image recognition technique with neural network ◦ Image Recognition: Developed the image segmentation embedded software to distinguish geographical features from clouds and space such as desert and sea from the Earth image. ◦ Management: In charge of project management of all subsystem for flight model manufacturing and subsequent function checks in strict timeline. Variable Shape Attitude Control Microsat project Tokyo Tech • Conceptual Design for 50 kg-size Satellite ”Hibari” Apr 2016 - Mar 2019 ◦ Summary: Feasibility study and breadboard model design for 50 kg microsat development to demonstrate VSAC (Varible Shape Attitude Control) ◦ Work: In charge of Structure and thermal design and established numerical model for feasibility study simulation to validate structure and thermal design. Languages Exchange Website Development Tokyo Tech • Building matching website associating with International Relations Division office Sep 2018 - Aug 2019 ◦ Summary: Developed and ran language exchange website to match each students preference with JavaScript framework: Vue.js ◦ Algorithm: Applied unique matching algorithm to suggest the best language exchange partner. Stock Market and Bitcoin Price Prediction • Development of a system trade prediction model with machine learning algorithm Dec 2017 - Mar 2018 ◦ Summary: Predict the price fluctuation with time series data such as past price record and social media’s news by applying machine learning technique. ◦ Python: The algorithm was developed with python using machine learning library such as Tensorflow and Keras.

Work Experience ◦ Amanogi inc. Tokyo, Japan Software Engineer Intern Sept 2018 - Jul 2019 ∗ Corporate Profile: A start-up to develop Cubesat ADCS components and provide satellite data analysis ∗ Satellite Imagery Analyst: Worked as Data Analysts to automate satellite imagery data collection and build the model for image segmentation ∗ FPGA development Engineer: Designed and implemented source extraction algorithm for a FPGA board for Cubesat Star Tracker(STT) ◦ ispace inc. Tokyo, Japan Mechanical Engineer Intern Sept 2017 - Mar 2018 ∗ Corporate Profile: A start-up to develop moon exploring rover and lander, HAKUTO project, under the Google Lunar XPRIZE competition ∗ Structure Design: I worked as engineering intern to design structural component with CAD and help to manufactured and assembly it. ◦ EIKOH inc. Tokyo, Japan Part-time teacher Aug 2012 - Aug 2016 ∗ Corporate Profile: Individual class style cram school teaching the students from primary to high school ∗ Summary: Mainly taught to students preparing for entrance exam for college and middle school. ∗ App Development: Developed an app to facilitate the office paperwork for teachers and students and the app was introduced to several other branches.

Leadership Experience ◦ IAESTE TLSC (Tokyo Local Student Committee) General Manager Tokyo, Japan International Volunteer Apr 2013 - Dec 2014 ∗ Summary: Involved in international volunteering activities for IAESTE(International Association for the Exchange of Students for Technical Experience) ∗ Work: Held the information session, preparatory session and public relation activities to support international interns in Out Going Exchange division.