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]