Talks, Presentations, and Workshops


Workshop on Deep Neural Learning and Bayesian Optimization of Hyperparameters

The (online) workshop is organized by Hamburger Informatik Technologie-Center e.V. (HITeC) and Artificial Intelligence Center Hamburg e.V. (ARIC) on 9th, 16th, and 23rd April 2020. The focus of the workshop was on optimizing hyperparameters of deep learning models with Bayesian optimization.

Workshop on Deep Learning with Pytorch and AutoML

My second internal workshop at HITeC was about deep learning with Pytorch and AutoML. I introduced the basics of deep learning and how to implement a classification problem in Pytorch. Then, I introduced one of the latest AutoML approach called BOHB for hyperparameter optimization.

Workshop on Gaussian Process and Bayesian Optimization

I had an internal workshop at HITeC on Introduction to Gaussian Process and Bayesian Optimization. The content of the workshop was: Basics from Statistics Gaussian Process Bayesian Optimization


2 poster presentations at IROS 2018

I jointly presented our paper On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks during the interactive section. Also, on the last day of the conference, I attended the Machine Learning in Robot Motion Planning workshop to present our work on Neural End-to-End Learning of Reach for Grasp Ability with a 6-DoF Robot Arm.

Presenting my research progress

We organized a PhD students conference focused safety and interaction quality. I also had a chance to present my progress in this conference.

3 poster presentation at ICRA 2018

I presented 3 posters at ICRA main conference, Workmate workshop and PhD forum. The first presentation was “Emorl: Continuous acoustic emotion classification using deep reinforcement learning” at ICRA 2018. I also presented “Learning spatial representation for safe human-robot collaboration in joint manual tasks” at the Workmate workshop at ICRA 2018.


Should We Be Afraid of Artificial Intelligence?

In this presentation, I talked about AI and public concerns. The purpose of the talk was to give some intuition for a public audience that what is the research focus and methodological tools in AI.

Presenting my work at BAILAR, ROMAN 2017

I presented our work on Deep Reinforcement Learning using Symbolic Representation for Performing Spoken Language Instructions at 2nd Workshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics (BAILAR). This workshop was part of the 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Seminar Talk

Abstract: Spoken language is one of the most efficient ways to instruct robots about performing domestic tasks. However, the state of the environment has to be considered to successfully plan and execute the actions.


Seminar Talk

Abstract: In the future, robots are expected to work as a companion with humans in various areas ranging from service robots to humanoid robots. Dynamic and unpredictable human/domestic environments force developers to improve safety for human-robot cooperation.