I am a PhD candidate in HPDC group at VU University, Amsterdam under the supervision of Prof. Henri Bal. I am working on efficient deep learning for computer vision, at the intersection between deep learning and high performance computing. My research is funded by NWO, Netherlands Organisation for Scientific Research as a part of Efficient Deep Learning programme.
I did my Masters in parallel and distributed computer systems (PDCS) from VU University, Amsterdam with Cum Laude. I have around four years of industrial experience in computer systems, particularly distributed and data storage systems.
Vinod Nigade, Mahesh Soundalgekar
Distributed replication in cluster environments
US Patent 9,600,553, 2017
de Haan, R., Lim, J., van der Burg, S. A., Pieneman, A. W., Nigade, V., Mansvelder, H. D., & de Kock, C.
Neural Representation of Motor Output, Context and Behavioral Adaptation in Rat Medial Prefrontal Cortex During Learned Behavior.
Frontiers in neural circuits, 2018
Van Der Kouwe, Erik and Nigade, Vinod and Giuffrida, Cristiano
Dangsan: Scalable use-after-free detection
Proceedings of the Twelfth European Conference on Computer Systems, 2017
Efficiently Detecting Use-after-Free Exploits in Multi-Threaded Applications
Vrije Universiteit Amsterdam, 2016