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 (probably 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.

• 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
  EuroSys, 2017
  

• Efficiently Detecting Use-after-Free Exploits in Multi-Threaded Applications
  Master Thesis
  Vrije Universiteit Amsterdam, 2016