Passionate about applied research in Computer Vision, Machine Learning, and Artificial Intelligence

My interests lie in solving real-world problems using computer vision and machine learning, and robotics. Specifically, I am interested in applied research in video analytics, machine learning, human-centric computer vision, and medical imaging.

I have completed my undergraduate at Bahir Dar University, Ethiopia, in Electrical Engineering with great distinction standing 3rd from the faculty of engineering. I have served as junior faculty at Mekelle University before moving to my graduate studies at Vanderbilt. I have completed my PhD at Vanderbilt at the Robotics and Autonomous Systems Lab (RASL). I have completed my dissertation thesis on novel robotic and virtual reality system for autism and schizophrenia therapy while publishing several papers, two book chapters and a patent. My dissertation involved robotics, VR/AR, physiological signal processing, machine learning, and computer vision. While at Vanderbilt, I served as vice president for academic affairs of the Vanderbilt graduate students council (GSC) and as secretary of the organization for black graduate and professional students (OBGAPS). Moreover, I enjoyed personal side projects such as Kaggle machine learning competitions and I won 3rd place for EEG-based grasp detection for robotic prosthesis. I currently hold competition master rank at kaggle.com. Furthermore, I pitched a dexterous laparoscopic 6 DOF manipulator at TN TechVenture Challenge and earned runner-up title in 2013 and was regular hack Nashville/TN participant.

Currently, I am a National Academy of Sciences (NAS)/National Research Council (NRC) research fellow at the US naval research lab in Washington, D.C. My current research interests include person detection, person attributes analysis, person re-identification, object and anomaly recognition. I have extensive experience in the major machine learning frameworks and pytorch is my personal favorite.

• esube.tamirat[at]gmail.com