Manohar Kaul

manohar [dot] kaul [@] fujitsu [dot] com

I head the Next Generation AI Research Center at Fujitsu, Japan. Prior to this, I led the AI and AI Security labs at Fujitsu Research India. My research focuses on applied algebraic topology (topological data analysis), geometric machine learning (graph and point-cloud representations), and optimal transport. I develop practical ML systems grounded in strong theoretical foundations.

Previously, I was a tenured Associate Professor in the Department of Computer Science and Engineering at IIT Hyderabad, where I founded the क्रम (Krama) Lab. I actively collaborated with academia and industry to create next-generation AI solutions.

Before academia, I spent 9 years in industry as a technical, systems, and database architect at firms like Oracle, working on mission-critical big data systems. This experience shaped my vision for industry-relevant AI research. My academic journey began as a Master’s student in the Uppsala Database Laboratory at Uppsala University, Sweden, under Prof. Tore Risch, working on near-future prediction of moving-object trajectories. I earned my Ph.D. from Aarhus University, Denmark, advised by Prof. Christian S. Jensen, focusing on fast pathfinding algorithms on massive 3D meshes. I later completed a postdoc at TU Berlin in the DIMA Group under Prof. Volker Markl, working on scalable machine learning and locality-sensitive hashing.