About Me

Anand's picture

I am a Research Assistant and a PhD Candidate with Prof. Wolfgang Maass at the Institute for Theoretical Computer Science at TU Graz. My main research interest is to try to understand how the human brain works. I do this by developing mathematical and computational models for learning and memory with a strong emphasis on biologically plausibility.

I used to be a SDE at Amazon.com in the DynamoDB team for a couple of years before I started my PhD.

Before that, I was a computer science Masters student at UT Austin. I was working with Prof. Risto Miikkulainen on using neuro-evolution and task-decomposition to learn complex tasks. I have also worked with Prof. Peter Stone on agents that learn from human demonstrations and rewards.

Before doing my Master, I worked at Indian Institute of Science, Bangalore as a Research Assistant with Prof. K Gopinath. I was an undergraduate at IIT Madras before working at IISc.

Detailed resume available on request.


  1. Kaiser, J., Stal, R., Subramoney, A., Roennau, A., & Dillmann, R. (2017). Scaling up liquid state machines to predict over address events from dynamic vision sensors. Bioinspiration & Biomimetics. (url) (bibtex)
  2. Petrovici, M. A., Schmitt, S., Klähn, J., Stöckel, D., Schroeder, A., Bellec, G., … others. (2017). Pattern representation and recognition with accelerated analog neuromorphic systems. ArXiv Preprint ArXiv:1703.06043. (url) (bibtex)
  3. Subramoney, A. (2012, August). Evaluating Modular Neuroevolution in Robotic Keepaway Soccer (Master's thesis). Department of Computer Science, The University of Texas at Austin, Austin, TX. (url) (pdf) (bibtex)
  4. Jain, A., Subramoney, A., & Miikkulainen, R. (2012). Task decomposition with neuroevolution in extended predator-prey domain. In Proceedings of Thirteenth International Conference on the Synthesis and Simulation of Living Systems. East Lansing, MI, USA. (url) (pdf) (bibtex)



My publications in Mechanical Engineering