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Coursework
Graduate Courses (University of Maryland)
CMSC 733: Computer Processing of Pictorial Information (Spring 2022), taught by Prof. Yiannis Aloimonos
CMSC 756: Robotics (Fall 2021), taught by Prof. Dinesh Manocha
CMSC 723: Computational Linguistics I (Spring 2021), taught by Prof. Jordan Boyd-Graber and Prof. Philip Resnik
CMSC 828D: Interactive Data Analytics (Spring 2021), taught by Prof. Leilani Battle
CMSC 828W: Foundations of Deep Learning (Fall 2020), taught by Prof. Soheil Feizi
CMSC 818B: Decision-Making for Robotics (Fall 2020), taught by Prof. Pratap Tokekar
Graduate Courses (Carnegie Mellon University)
16-899: Adaptive Control and Reinforcement Learning (Spring 2020), taught by Prof. Changliu Liu
24-789: Deep Learning for Engineers (Spring 2020), taught by Prof. Amir Barati Farimani
10-601: Introduction to Machine Learning (Fall 2019), taught by Prof. Matthew Gormley and Prof. Roni Rosenfeld
24-677: Linear Control Systems (Fall 2019), taught by Prof. Ding Zhao
24-775: Robot Design & Experimentation (Spring 2019), taught by Prof. Aaron Johnson
16-741: Mechanics of Manipulation (Fall 2018), taught by Prof. Matthew Mason
24-780: Engineering Computation (Fall 2018) taught by Prof. Nestor Gomez
Undergraduate Courses (University of Patras)
Selected relevant coursework from my undergraduate studies:
Other Courses
3rd ACM Summer School in Data Science, Athens, Greece, July 2019, organized by Prof. Yannis Ioannidis [link]
Machine Learning, taught by Prof. Andrew Ng (online course offered by Stanford University) [link]
Introduction to Computer Science and Programming Using Python, taught by Prof. Eric Grimson (online course offered by MIT)[link]
Startup Engineering, taught by Prof. Balaji Srinivasan (online course offered by Stanford University) [link]
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