Technologist
PhD candidate. Writes text or frivolous code. Reads sci-fi. Plays games. Automates. Meditates. Runs. Socialises.
My research is on problem-independent algorithms for sequential decision problems. I have a specific interest in algorithm selection for resource-constrained environments. I investigate how to compare the performance of nature-inspired learning techniques (mostly reinforcement learning & evolutionary computing for now) for dynamic optimisation. AI guided data collection and risk classification for mental health. Exploits the clinical expertise from thousands of trained practitioners. Can be used by anyone, anywhere.
Member of ALICE at Aston University.
Publications
Aman Soni, Peter R. Lewis, and Anikó Ekárt. "Offline and Online Time in Sequential Decision-Making Problems", Proceedings of the IEEE Symposium Series on Computational Intelligence 2016. View Cite this paper:
@inproceedings{soni2016offline,title={Offline and online time in Sequential Decision-Making Problems},author={Soni, Aman and Lewis, Peter R and Ek{\'a}rt, Anik{\'o}},booktitle={Computational Intelligence (SSCI), 2016 IEEE Symposium Series on},pages={1--8},year={2016},organization={IEEE}}
Aman Soni, Peter R. Lewis, and Anikó Ekárt. “Synergies Between Reinforcement Learning and Evolutionary Dynamic Optimisation.” In: Artificial Life and Intelligent Agents. Springer International Publishing, 2016. [to appear]
Talks:
Project showcase
Gaia chatbot for mental health self-assessment. This prototype chatbot is a new user interface into the GRiST expert-system.
Try Gaia using the web interface. This prototype currently implements the suicide thoughts questions only. Start the interaction using **I feel suicidal**. [Watch the video] [View the chatbot code] [Code for the web UI]
Please have a look at my blog for older projects.
AstonHack 2015
Major League Hacking (MLH) student hackathon at Aston University, November 2015. For a taste of a fun and innovative weekend, please view some videos from the event.
Application of latest mobile and IoT technologies for healthcare applications in the Atos 2017 IT Challenge.