Ghose's research is in the field of intelligent-control and swarms of autonomous systems. He has been working in dynamic game theory, distributed computing, swarm intelligence, multi-agent systems and robotics. The research group has close collaborations with eminent researchers and academic departments in countries such as the US, Israel, UK, Singapore, South Korea, Germany, Japan.
He has served in the editorial boards of prestigious international journals and conferences (e.g. IEEE Transactions, Proceedings of IMechE). He has been senior member of several National core technical review committees for critical projects under DRDO, ISRO, NAL etc. He is a senior fellow of the Indian National Academy of Engineering.
Ghose, along with his student K.N. Krishnanand, developed Glowworm swarm optimization[4] and with Animesh Chakravarthy popularized the collision-cone approach[8]
The alumni of the lab have gone on to work on various notable research projects in academia and industry.[1]
Recently, there's been a push for Learning-based projects in the lab, thus increasing collaboration with applied ML (Machine perception) groups in Industry.[9]
References
^ abcd"Debasish Ghose". www.aero.iisc.in. Aerospace Engineering, Indian Institute of Science, Bangalore. Retrieved 10 May 2019.
^ abKaipa, Krishnanand N.; Ghose, Debasish (2008). "Glowworm swarm optimization for simultaneous capture of multiple local optima of multimodal functions". Swarm Intelligence. 3 (2): 87–124. doi:10.1007/s11721-008-0021-5. S2CID9539488.
^Veeravalli, Bharadwaj; Ghose, Debasish; Robertazzi, Thomas G. (2003). "Divisible Load Theory: A New Paradigm for Load Scheduling in Distributed Systems". Cluster Computing. 6: 7–17. doi:10.1023/A:1020958815308. S2CID8840753.
^"Faculty Participants". Robert Bosch Centre for Cyber-Physical Systems. 10 April 2017. Archived from the original on 17 November 2018. Retrieved 16 November 2018.