Lotzi Bölöni is a Professor of Computer Science at the University of Central Florida (with a secondary joint appointment in the Dept. of Electrical and Computer Engineering).

He received a PhD and MSc degree from the Computer Sciences Department of Purdue University and BSc in Computer Engineering from the Technical University of Cluj-Napoca, Romania. He received a fellowship from the Computer and Automation Research Institute of the Hungarian Academy of Sciences for the 1994-95 academic year. He is a senior member of IEEE, member of the ACM, AAAI and the Upsilon Pi Epsilon honorary society.

Recent publications and projects:

• Robotics: deep reinforcement learning, deep learning from demonstration, vision-based end-to-end learning
• R. Rahmatizadeh, P. Abolghasemi, L. Bölöni, and S. Levine. Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration. In Proc. of International Conference on Robotics and Automation (ICRA-2018), May 2018.  Download Video 
• R. Rahmatizadeh, P. Abolghasemi, A. Behal, and L. Bölöni. Learning real manipulation tasks from virtual demonstrations using LSTM and MDN. In Proc. of Thirty-Second AAAI Conf. on Artificial Intelligence (AAAI-2018), February 2018.   Download  Video 
• Assistive robotics (NSF funded)
• Human-robot interaction (ARL funded)
• Artificial intelligence deep learning, autonomous agents, human-agent-robot teamwork
• J. Xu, R. Rahmatizadeh, L. Bölöni, and D. Turgut. Real-time Prediction of Taxi Demand Using Recurrent Neural Networks. IEEE Transactions on Intelligent Transportation Systems, 2018.   Download 
• L.J. Luotsinen and L. Bölöni. Role-Based Teamwork Activity Recognition in Observations of Embodied Agent Actions. In The Seventh Intl. Joint Conf. on Autonomous Agents and Multi-Agent Systems (AAMAS 08), pp. 567–574, 2008.   Download 
• Team activity recognition (NSF, ARL funded)
• Social behavior modeling Modeling social and cultural behavior
• L. Bölöni, T. S. Bhatia, S. A. Khan, J. Streater, and S. M. Fiore. Towards a computational model of social norms. PLOS ONE, 13(4):e0195331, 2018.   Download 
• T.S. Bhatia, S.A. Khan, and L. Bölöni. Towards an operational model for the propagation of public perception in multi-agent simulation. In 13th International Workshop on Multi-Agent Based Simulation (MABS-2012), pp. 1–12, June 2012.   Download 
• Networking and distributed systems sensor networks, cloud computing, scheduling
• P. Gjanci, C. Petrioli, S. Basagni, C.A. Phillips, L. Bölöni, and D. Turgut. Path Finding for Maximum the Value of Sensed Information in Multi-modal Underwater Wireless Sensor Networks. IEEE Transactions on Mobile Computing, 17:404–418, February 2018.  Download 
• D. Turgut and L. Bölöni. IVE: improving the value of information in energy-constrained intruder tracking sensor networks. In IEEE Int. Conf. on Comunications (ICC-2013), pp. 6360–6364, 2013. Best Paper Award   Download 
• Artificial General Intelligence narrative reasoning
• L. Bölöni. Integrating perception, narrative, premonition and confabulatory continuation. Biologically Inspired Cognitive Architectures, 8:118–129, April 2014.   Download 
• L. Bölöni. Autobiography based prediction in a situated AGI agent. In Seventh Conf. of Artificial General Intelligence (AGI-2014), pp. 11–21, August 2014. Kurzweil Best AGI Idea Prize 2014   Download 
• Xapagy cognitive architecture - a system for narrative reasoning

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