Mikhail Volkov

Publications

See my full curriculum vitae here.

Authored Publications

[1] Mikhail Volkov, Dan A. Hashimoto, Guy Rosman, Ozanan R. Meireles, and Daniela Rus. Machine learning and coresets for automated real-time video segmentation of laparoscopic and robot-assisted surgery. In IEEE International Conference on Robotics and Automation (ICRA), Singapore, Singapore, May, 2017. IEEE.

[2] Dan Feldman, Mikhail Volkov, and Daniela Rus. Dimensionality reduction of massive sparse datasets using coresets. In Advances in Neural Information Processing Systems 27, pages 2766–2774. Curran Associates, Inc., 2016.

[3] Mikhail Volkov, Dan A. Hashimoto, Guy Rosman, Ozanan R. Meireles, and Daniela Rus. Machine Learning and Coresets for Automated, Real-time Video Segmentation of Laparoscopic Surgery. In SAGES Emerging Technology Session, Boston, Massachusetts, March 2016.

[4] Gavin Chase Hall, Mikhail Volkov, and Daniela Rus. Dynamic Patrolling Policy for Optimizing Urban Mobility Networks. In Intelligent Transportation Systems (ITSC), 2015 18th International IEEE Conference on, Las Palmas de Gran Canaria, Spain, September 2015. IEEE.

[5] Mikhail Volkov, Guy Rosman, Dan Feldman, John W Fisher III, and Daniela Rus. Coresets for visual summarization with applications to loop closure. In IEEE International Conference on Robotics and Automation (ICRA), Seattle, Washington, May 2015. IEEE.

[6] Soliman Nasser, Andew Barry, Marek Doniec, Guy Peled, Guy Rosman, Daniela Rus, Mikhail Volkov, and Dan Feldman. Fleye on the Car: Big Data meets the Internet Of Things. In Information Processing in Sensor Networks (IPSN), 14th International Conference on, Seattle, Washington, May 2015. IEEE.

[7] Guy Rosman, Mikhail Volkov, Dan Feldman, John W Fisher III, and Daniela Rus. Coresets for k-segmentation of streaming data. In Advances in Neural Information Processing Systems 27, pages 559–567. Curran Associates, Inc., 2014.

[8] Afian Anwar, Mikhail Volkov, and Daniela Rus. ChangiNOW: A mobile application for efficient taxi allocation at airports. In Intelligent Transportation Systems (ITSC), 2013 16th International IEEE Conference on, The Hague, The Netherlands, October 2013. IEEE.

[9] Mikhail Volkov, Javed Aslam, and Daniela Rus. Markov-based redistribution policy model for future urban mobility networks. In Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on, Anchorage, Alaska, September 2012. IEEE.

[10] Mikhail Volkov, Alejandro Cornejo, Nancy Lynch, and Daniela Rus. Environment characterization for non-recontaminating frontier-based robotic exploration. In Agents in Principle, Agents in Practice, pages 19–35. Springer, 2011. (Best Student Paper)

Theses

[1] Mikhail Volkov. Machine Learning and Coresets for Automated Real-Time Video Segmentation and Summarization. Ph.D. thesis. Massachusetts Institute of Technology, Cambridge, Massachusetts, September 2016.

[2] Mikhail Volkov. Deployment algorithms for multi-agent exploration and patrolling. M.Sc. thesis, Massachusetts Institute of Technology, Cambridge, Massachusetts, February 2013.

Patents

[1] Daniela Rus, Mikhail Volkov, and Gavin Chase Hall. Algorithms for Patrolling Loop and Virtualized Taxi Stands from Historical Data. U.S. Patent Application No. 62/036152. August 12, 2014.

Acknowledgments

[1] Ivana Dusparic and Vinny Cahill. Using distributed w-learning for multipolicy optimization in decentralized autonomic systems. In Proceedings of the 6th international conference on Autonomic computing, pages 63–64. ACM, 2009.

[2] Ivana Dusparic and Vinny Cahill. Using reinforcement learning for multipolicy optimization in decentralized autonomic systems -- an experimental evaluation. In Autonomic and Trusted Computing, pages 105–119. Springer, 2009.

[3] Chaoxin Zheng, Dermot Kelleher, and Khurshid Ahmad. A semiautomatic indexing system for cell images. In Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on, pages 1758–1763. IEEE, 2008.

[4] As'ad Salkham, Raymond Cunningham, Anurag Garg, and Vinny Cahill. A collaborative reinforcement learning approach to urban traffic control optimization. In Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT'08. IEEE/WIC/ACM International Conference on, volume 2, pages 560–566. IEEE, 2008.

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