Contact me at ramin.hasani AT tuwien.ac.at

Address: Treitlstrasse 3/3, 1040, Vienna, Austria

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Quick Picks

[MIT] I am currently a research scholar at MIT CSAIL Daniela Rus’s Robotics Lab. [My MIT CSAIL webpage]

[Accepted Paper] ICRA 2019 – We proposed a new brain-inspired neural network design methodology for interpretable and noise-robust robotic control

[Accepted Paper] IJCNN 2019 – We proposed a new method to interpret LSTM networks

[TED Talk] My TEDxVienna talk entitled “Simple Artificial Brains to Govern Complex Tasks” is officially released by TEDx. watch it [here]

[Accepted Paper] We proposed a new method to interpret LSTM networks. The paper will be presented at the NeurIPS (NIPS) 2018 Workshop on Interpretability and Robustness (IRASL). [Paper]

[Interview] Read my interview with Vera Steiner at TEDxVienna here

[TED Talk 2018] I gave my first TEDx talk at TEDxVienna on October 20th 2018. [link]

[Interview] Read my interview with TrendingTopics about my research and perspectives on AI [link]

[Press] reflections of our research work on “Neuronal Circuit Policies“: [TU Wien] [EurekAlert] [i-programmer] [techxplore] [NewsGuard] [Motherboard vice]

[AAAI-IAAI 2019] one accepted paper entitled “a machine learning suite for machine’s health monitoring”, for oral presentation. [link]

[Interview] Read my interview with Futurezone in German [link]

[AI Talk Sep2018] I gave a talk on “AI and Neuroscience” at the “BrainStorms” event. [link]

[Accepted papers] 2 journal papers got published at the Royal Society Philosophical Transactions: Biological Sciences. [Publications]

[RSS 2018] In a recently published paper at the Robotics Sicence and Systems (RSS) 2018 Conference, we showed “How to control robots with brainwaves and hand gestures” [MIT Press release][Paper]

At ICML & IJCAI 2018 in Stockholm, I presented two papers, one at the Explainable AI (XAI-18) workshop and one at DISE1 workshop.

[Press] Press releases on our recent NIPS Deep RL Symposium 2017 paper: [Motherboard Vice] [Phys.org] [TU Wien]

My student, Mathias Lechner, won the Best Master Thesis Award 2017 as the “Distinguished Young-Alumnus Award”, at the Faculty of Informatics at TU Wien. [link]

I presented a paper at the Deep Reinforcement Learning Symposium at NIPS 2017, and two papers at the workshop on Worm’s Neural Information Processing, at NIPS 2017.

I was a visiting research scholar at MIT CSAIL, working on developing interpretable machine learning algorithms for autonomous systems, with Daniela Rus.

I co-chaired a NIPS 2017 workshop on Worm’s Neural Information Processing (WNIP).

I attended ICML 2017 in Sydney and presented at WCB 2017. [slides]

I also attended IJCAI 2017 in Melbourne, and presented at BOOM 2017, [slides] [poster] Won the Best Poster Award! [link]

I took part in the Deep learning Indaba 2017 in Johannesburg, South Africa.

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About me