Deep learning approach for specific Object Detection.
HCI & Robotics
Actuating Desktop devices.
image & signal processing for bad whether images & videos.
latest Updates (May 2019):
- I'll be attending ICRA 2019 in Montreal. It's like a homecoming to Robotics. Looking forward to it.
- I attended CES 2019 in Vegas. It was a pleasure to build networks and see product innovation across the spectrum.
- I attended the NeurIPS 2018 in Montreal. A lot of learning and networking made good connections.
Sidharth Sahdev (Sid)
I am currently a Research Engineer at mtl.ai which is a Montreal based augmented reality startup for marketing and digital advertising in the sports industry. I'm always open and receptive for exciting collaborations so don't hesitate to reach out. In June of 2017, I obtained my Master's of Science degree in Applied Computing from the University of Toronto. During my Grad-School, I worked as a Graduate Researcher (Supervisor: Prof. Eugene Fiume, Mentors: Prof. Daniel Wigdor, Dr. Ricardo Jota) at Tactual Labs, a DGP born company. My role at Tactual involved developing a novel input sensing technique for multi-user interactions. The innovative sensing algorithm I developed tries to combine ML, Signal Processing & HCI.
Earlier, I was a Research Assistant in Tsotsos Lab, Centre for Vision Research (CVR) group at York University where I worked on exploring deep learning techniques for object detection. I have also helped in teaching engineering students at the University of Toronto.
Before that, I was a research intern in the Human Computer Interaction group at TELECOM ParisTech (Supervisor: Dr. Gilles Bailly) where I worked on computer-vision & robotics inspired HCI research. I obtained my Bachelor's of Engineering degree in Electronics & Communications from BITS Pilani, Hyderabad Campus, India.
My research interests are broadly in Machine Learning, Signal Processing, Computer Vision, Human-Computer Interaction and Robotics. I'm a young researcher who likes to innovate by mixing technology.
To know more about my work, please see below. To view by category, browse the tabs here:
SIGCHI 2017 talk from Denver, CO -->
Input Differentiation on
Capacitive Multi-Touch Sensors.
Image Processing & Robotics
A color and shape based ball following bot.
A six sensor PID based random maze solving bot.
GPS Tracking System
PID based 6 sensor line follower