IIT Kanpur, India
Degree:Bachleor's of Technology (2014-2018) CGPA:8.80/10.00 Awards:Academic Excellence Award (2017),The Proficiency Medal for the best undergraduate project (2018)
My name is Ashutosh, and I am currently a second-year Ph.D. student at the Graduate School of Engineering, University of Tokyo, Japan. Since my Master's, I have been affiliated with the Human-Centered Urban Informatics lab under the guidance ofProfessor Yoshihide Sekimoto.
My current research work is on the real-time citywide reconstruction of cross-sectional traffic flow from multiple moving cameras on lightweight edge devices.
As an intern, freelancer, and part-time employee, I have worked for various institutions, startups, and companies in the field of computer vision for the past five years. In spite of having spent most of my career in computer vision domain of deep learning, I have recently grown fascinated by the field of natural language processing after latest advancements in NLP algorithms.
All kinds of technologies captivate me, and I constantly research and learn about emerging technologies. The satisfaction I receive from working on and resolving problems with my acquired knowledge is immense.
You can contact me here: ash_k@mit.edu
Latest
Degree:Bachleor's of Technology (2014-2018) CGPA:8.80/10.00 Awards:Academic Excellence Award (2017),The Proficiency Medal for the best undergraduate project (2018)
Degree:Master of Science Graduate School of Engineering (2018-2020)
CGPA:3.87/4.00
Awards:The Furuichi Kimitake Prize for outstanding Master's thesis (2020)
Degree:Doctor of PhilosophyGraduate School of Engineering(2020-2023)
CGPA:4.00/4.00
Awards:
SpringGX fellowship grant from JST (2021), Visiting student at Senseable City Lab, MIT
Among top students Internationally to be selected for the visiting student position at the Senseable City Lab, MIT
Recipient of the SpringGX fellowship provided by JST with a living allowance and research grant of over 25,000 USD per year
Awarded the Furuichi Kimitake Prize for outstanding Master's thesis among top 4 graduating students (2020) in the department, The University of Tokyo, Tokyo, Japan
Received the Best Paper Award in Laser Scanning workshop during ISPRS Geospatial Week 2019
Computer Vision Researcher for urban environment monitoring
Deep Learning Engineer for forecasting precipitation
Deep Learning Researcher for 3D pointcloud data
Deep Learning Researcher for GPS data
R&D, Computer Vision Engineer
DX Strategy Department, Deep Learning Engineer
Worked as a Teaching Assistant in "Deep Learning and Related Methods for Large Dataset Information Processing" course taught by Michal Fabinger
A two-day webinar on Deep Learning for Computer Vision applications was delivered remotely at IIT Kanpur, India, with more than 40 participants
Worked as a tutor for helping students with 3D point cloud processing software for the 3DGeo course taught by Prof. Bernhard Höfle
Tutor of the GIS course taught by Professor Yoshihide Sekimoto, responsible for QGIS software handling for map creation, attribute and spatial analysis