Machine Learning Scientist
Computer Science and Artificial Intelligence Lab (CSAIL)
Massachusetts Institute of Technology (MIT)
Contact me at firstname.lastname@example.org
[Position Update] I joined the Distributed Robotics Lab (DRL) of CSAIL MIT, as a postdoctoral associate.[link]
[Accepted Paper] [NeurIPS 2020] “Learning Long-term Dependencies in Irregularly-samples Time Series” got accepted for publication in the Advances in Neural Information Processing Systems (NeurIPS 2020). [Paper][code]
[Accepted Paper] [Nature Machine Intelligence] “Neural Circuit Policies Enabling Auditable Autonomy” got accepted for publication in Nature Machine Intelligence. [link]
[Accepted Paper] [ICML 2020] “A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits” got accepted to the 2020 International Conference on Machine Learning (ICML) [link]
[Accepted Paper] [Journal of Autonomous Robots 2020] “Plug-and-play supervisory control using muscle and brain signals for real-time gesture and error detection” got accepted to the journal of Autonomous Robots, August 2020. [link]
[PhD dissertation] Check out my PhD dissertation here: [link]
[PhD studies – Done!] Completed my PhD degree with honors on May 5th, 2020
[Accepted Paper] ICRA 2020 – We introduced a new regularization scheme to obtain state-stable recurrent neural networks, in control environments. The paper is gonna be presented during ICRA 2020 (May 29th -June 4th) in Paris, France.
[TED Talk] watch my latest TEDxCluj talk entitled “A journey inside a neural network” [link]
[Accepted Paper] ICRA 2019 – We proposed a new brain-inspired neural network design methodology for interpretable and noise-robust robotic control [link]
[Accepted Paper] IJCNN 2019 – We proposed a new method to interpret LSTM networks [link]
[TED Talk] My TEDxVienna talk entitled “Simple Artificial Brains to Govern Complex Tasks” is officially released by TEDx. watch it [here]
[Interview] Read my interview with Vera Steiner at TEDxVienna here
[AAAI-IAAI 2019] one accepted paper entitled “a machine learning suite for machine’s health monitoring”, for oral presentation. [link]
[Accepted papers] 2 journal papers got published at the Royal Society Philosophical Transactions: Biological Sciences. [Publications]
I took part in the Deep learning Indaba 2017 in Johannesburg, South Africa.
I am a machine learning scientist at the Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology (MIT). I have recently completed my PhD studies (with distinction) in Computer Science, at TU Wien, Austria. My PhD dissertation was co-advised by Prof. Radu Grosu (TU Wien) and Prof. Daniela Rus (MIT).
My main research focus is on developing interpretable deep learning algorithms.
I have worked with organizations such as Infineon, Distributed Robotics Lab (DRL) at the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT, OpenWorm, IST Austria (Henzinger Group) and IMP (Zimmer Group)
I have been a visiting research scholar at the Distributed Robotics Lab (DRL) at the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT, and at VAS Group at the Department of Computing, Imperial College London.
I completed my M.Sc. in Electronic Engineering at Politecnico di Milano.
Before that, I did a B.Sc. in Electrical Engineering – Electronics at Ferdowsi University of Mashhad.
[Interview] Read my interview with TrendingTopics about my research and perspectives on AI [link]
[Google Cloud Credits] Google Cloud Platform (GCP) Research Credit Program ($13,085),[link]
[AI Talk Sep2018] “AI and Neuroscience” at the “BrainStorms” event. [link]
[Accepted papers] 2 journal papers at the Royal Society Philosophical Transactions: Biological Sciences. [Publications]
[TED Talk 2018] TEDx talk at TEDxVienna on October 20th. [link]
[RSS 2018] we showed “How to control robots with brainwaves and hand gestures” [MIT Press release][Paper]
[Press] Press releases on our recent NIPS Deep RL Symposium 2017 paper: [Motherboard Vice] [Phys.org] [TU Wien]
[Best Master thesis for My student] Mathias Lechner, won the Best Master Thesis Award 2017 as the “Distinguished Young-Alumnus Award”, at the Faculty of Informatics at TU Wien. [link]
[Granted Award] Microsoft Azure for Research Award (10,000$) (Nov 2017)
[Granted Award] Sponsor Scholar at NIPS 2017
[Workshop at NIPS 2017] Co-organizer of the NIPS-2017 workshop on Worm’s Neural Information Processing (WNIP)
[Best Poster Award] IJCAI BOOM 2017 [link]
[News] Got mentioned in the first edition of the Austrian Computer Society (OCG) Journal
[Granted Award] Sponsor Scholar at ICML2017 [link]
[Accepted Paper] ICML WCB 2017
[Accepted Paper] IJCAI BOOM 2017
Chaired the “Spiking Neurons” Session at IWANN 2017 program
[Accepted Paper] IWANN 2017
[Accepted Paper] IWANN 2017
Check out our bio-machine learning group, Simple-AI, at www.simple-ai.com
[Accepted Paper] IJCNN 2017
[Granted Award] Microsoft Azure for Research Award (20,000$) [link] (Jan 2017)
[Talk] OpenWorm Journal Club talk [video] (Dec 2016)
[Invited Research Talk] at CAIRA in KI 2016 (Sep 2016)