Publications


Papers

2018

Re-purposing Compact Neuronal Circuit Policies to Govern Reinforcement Learning Tasks
Ramin M. Hasani*, Mathias Lechner*, Alexander Amini, Daniela Rus, Radu Grosu
ArXiv:1809.04423 [cs.LG]
[link][pdf]

Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks
Ramin M. Hasani*, Alexander Amini*, Mathias Lechner, Felix Naser, Radu Grosu, Daniela Rus
ArXiv:1809.03864 [cs.LG]
[link][pdf]

Plug-and-Play Supervisory Control Using Muscle and Brain Signals for Real-Time Gesture and Error Detection
Joseph DelPreto, Andres F. Salazar-Gomez, Stephanie Gil, Ramin M. Hasani, Frank H. Guenther, Daniela Rus
14th Robotics Science and Systems (RSS) Conference, Pittsburg, USA, 2018
[link][pdf]

c302: a multiscale framework for modelling the nervous system of C. elegans
Padraig Gleeson, David Lung, Radu Grosu, Ramin M. Hasani, Stephen Larson
Phil. Trans. R. Soc. B 373 (1758), 20170379, 2018
[link]

OpenWorm: overview and recent advances in integrative biological simulation of C. elegans
Gopal P Sarma, Chee Wai Lee, Tom Portegys, Vahid Ghayoomie, Travis Jacobs, Bradly Alicea, Matteo Cantarelli, Michael Currie, Richard C Gerkin, Shane Gingell, Padraig Gleeson, Richard Gordon, Ramin M Hasani, Giovanni Idili, Sergey Khayrulin, David Lung, Andrey Palyanov, Mark Watts, Stephen D Larson
Phil. Trans. R. Soc. B 373 (1758), 20170382, 2018
[link]

Interpretable Neuronal Circuit Policies for Reinforcement Learning Environments
Mathias Lechner*, Ramin M. Hasani*, and Radu Grosu *equal contributions
IJCAI/ECAI Workshop on Explainable Artificial Intelligence (XAI), Stockholm, Sweden, 2018
[link]

2017

Worm-level Control through Search-based Reinforcement Learning
Mathias Lechner, Radu Grosu, Ramin M. Hasani.
Deep Reinforcement Learning Symposium at the 31st Neural Information Processing Systems (NIPS) Conference, Long Beach, CA, USA, 2017.
[link] [pdf]

A Simplified Cell Network for the Simulation of C. elegans’ Forward Crawling
David Lung, Stephen Larson, Andrey Palyanov, Sergey Khayrulin, Padraig Gleeson, Manuel Zimmer, Radu Grosu and Ramin M. Hasani.
Workshop on Worm’s Neural Information Processing at the 31st Neural Information Processing Systems (NIPS) Conference, Long Beach, CA, USA, 2017.
[link] [pdf]

Searching for Biophysically Realistic Parameters for Dynamic Neuron Models by Genetic Algorithms from Calcium Imaging Recording
Magdalena Fuchs, Manuel Zimmer, Radu Grosu and Ramin M. Hasani.
Workshop on Worm’s Neural Information Processing at the 31st Neural Information Processing Systems (NIPS) Conference,Long Beach, CA, USA, 2017.
[link] [pdf]

Compositional Neural-Network Modeling of Complex Analog Circuits
Ramin M. Hasani, Dieter Haerle, Christian F. Baumgartner, Alessio R. Lomuscio, and Radu Grosu.
Proceedings of 30th International Joint Conference on Neural Networks (IJCNN 2017), IEEE, Anchorage, Alaska, USA, 2017.
[link]

SIM-CE: An Advanced Simulation Platform for Studying the brain of Caenorhabditis elegans
Ramin M. Hasani, Victoria Beneder, Magdalena Fuchs, David Lung, and Radu Grosu.
Workshop on Computational Biology, 34th International Conference on Machine Learning(ICML), Sydney, Australia, 2017.
[link] [pdf]​

Modeling a Simple Non-Associative Learning Mechanism in the Brain of Caenorhabditis elegans
Ramin M. Hasani, Magdalena Fuchs, Victoria Beneder, Radu Grosu.
Accepted at 2nd International Workshop on Biomedical Informatics with Optimization and Machine Learning (BOOM 2017), In conjunction with 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, 2017.​

Towards Deterministic and Stochastic Computations with Izhikevich Spiking Neuron Model
Ramin M. Hasani, Guodong Wang, and Radu Grosu.
Proceedings of 14th International Work-Conference on Artificial Neural Networks (IWANN 2017), Springer, Cadiz, Spain, 2017.​

[link]

Computing with Biophysical and Hardware-efficient Neural Models
Konstantin Selyunin, Ramin M. Hasani, Denise Ratasich, Ezio Bartocci, and Radu Grosu.
Proceedings of 14th International Work-Conference on Artificial Neural Networks (IWANN 2017), Springer, Cadiz, Spain, 2017.​

[link]

An Automated Auto-encoder Correlation-based Health Monitoring and Prognostic Method for Machine Bearings
Ramin M. Hasani, Guodong Wang, Radu Grosu
arXiv:1703.06272 [cs.LG], 2017.
[link]

SIM-CE: An Advanced Simulink Platform for Studying the Brain of Caenorhabditis elegans
Ramin M. Hasani, Victoria Beneder, Magdalena Fuchs, David Lung, Radu Grosu
arXiv:1703.06270 [q-bio.NC], 2017.
[link] [pdf]

Non-Associative Learning Representation in the Nervous System of the Nematode Caenorhabditis elegans
Ramin M. Hasani, Magdalena Fuchs, Victoria Beneder, Radu Grosu
arXiv:1703.06264 [q-bio.NC], 2017.
[link] [pdf]

Control of the Correlation of Spontaneous Neuron Activity in Biological and Noise-Activated CMOS Artificial Neural Microcircuits
Ramin M. Hasani, Giorgio Ferrari, Hideaki Yamamoto, Sho Kono, Koji Ishihara, Soya Fujimori, Takashi Tanii, Enrico Prati.
arXiv:1702.07426v1 [cs.NE], 2017.
[link]

2016

Efficient Modeling of Complex Analog Integrated Circuits Using Neural Networks
Ramin M. Hasani, Dieter Haerle, and Radu Grosu.
12th Conference on Ph. D. Research in Microelectronics and Electronics (PRIME), Lisbon, Portugal, 2016, pp. 1-4. IEEE, 2016.
[link]

Probabilistic Reachability Analysis of the Tap-Withdrawal Circuit in Caenorhabditis elegans
Md Ariful Isla, Qinsi Wang, Ramin M. Hasani, Ondrej Balun, Edmund M. Clarke, Radu Grosu, and Scott A. Smolka.
18th IEEE International High Level Design Validation and Test Workshop (HLDVT), pp. 170-177. IEEE, 2016.
[link]

Investigations on the Nervous System of Caenorhabditis elegans
Ramin M. Hasani, Lukas Esterle, and Radu Grosu.
39th German Conference on Artificial Intelligence (KI 2016) – Current AI Research in Austria Workshop (CAIRA), Klagenfurt, Austria, 2016.
[link]


Talks

December 9th, 2017
Workshop on Worm’s Neural Information Processing (WNIP)
NIPS 2017 [Link]

September 24th, 2017
Learning with a Worm’s Brain
Sharif University of Technology [Link]

August 20th, 2017
Modeling a Simple Non-Associative Learning Mechanism in the Brain of Caenorhabditis elegans
IJCAI BOOM 2017 [Link]

August 10th, 2017
SIM-CE: An Advanced Simulation Platform for Studying the brain of Caenorhabditis elegans
ICML WCB 2017 [Link]

Dec 3rd, 2016
The Search For Food
OpenWorm Journal Club
[video]

Sep 27th, 2016
Investigations on the Nervous System of Caenorhabditis elegans
39th German Conference on Artificial Intelligence (KI 2016) – Current AI Research in Austria Workshop (CAIRA).
[link]

June 28th, 2016
Efficient Modeling of Complex Analog Integrated Circuits Using Neural Networks
PRIME 2016 [Link]


My Theses


PhD Thesis (To be presented by July 2019)
Interpretable Recurrent Neural Networks for Modeling Dynamic Systems
Ramin M. Hasani,
Cyber-Physical Systems, TU Wien, 2018.


M.Sc. Thesis
Design of CMOS Silicon Neurons for Noise-Assisted Computations in Spiking Neural Networks
Ramin M. Hasani,
Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, 2015.
[link]


My Students’ Theses


Brain-inspired Neural Control
Mathias Lechner 
Supervisors: Ramin M. Hasani, Radu Grosu,
M.Sc. Thesis, at the Institute of Computer Engineering, TU Wien, Oct 2017.


Towards Distributed Controllers Based on Caenorhabditis elegans Locomotory Neural Network
Ondrej Balún 
Supervisors: Ramin M. Hasani, Radu Grosu,
M.Sc. Thesis, at Institute of Computer Engineering, TU Wien, Jan 2017.