I am a PhD candidate in HPDC group at VU University, Amsterdam under the supervision of Prof. Henri Bal and Lin Wang. I am currently working on systems (likely at the edge) for video stream analytics, which falls at the intersection of systems research, computer vision using deep learning and edge 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.
Note: I am open for a research internship at a university or industrial lab in the area of video stream analytics, systems for DL at the edge. If you have an opportunity, and find my profile or work interesting then please write me an email.
Distributed replication in cluster environments
Vinod Nigade, Mahesh Soundalgekar
US Patent 9,600,553, 2017
Clownfish: Edge and Cloud Symbiosis for Video Stream Analytics
Vinod Nigade, Lin Wang, and Henri Bal
ACM/IEEE Symposium on Edge Computing (SEC), 2020
Acceptance Rate: 21/96 = 21.9%
Neural Representation of Motor Output, Context and Behavioral Adaptation in Rat Medial Prefrontal Cortex During Learned Behavior
De Haan, Roel, Judith Lim, Sven A. van der Burg, Anton W. Pieneman, Vinod Nigade, Huibert D. Mansvelder, and Christiaan PJ De Kock
Frontiers in neural circuits, 2018
Dangsan: Scalable use-after-free detection
Erik Van Der Kouwe, Vinod Nigade, and Cristiano Giuffrida
Efficiently Detecting Use-after-Free Exploits in Multi-Threaded Applications
Vrije Universiteit Amsterdam, 2016