Neel P. Bhatt

Neel P. Bhatt Email and Phone Number

Research Scientist @ The University of Texas at Austin
Austin, TX, US
Neel P. Bhatt's Location
Austin, Texas Metropolitan Area, United States, United States
Neel P. Bhatt's Contact Details

Neel P. Bhatt personal email

n/a
About Neel P. Bhatt

Determined to meet goals.I am a hardworking, passionate, and conscientious researcher. I try my level best to exercise my knowledge by following an innovative, creative, and efficient research process for a given task. Creativity and quick learning are the two attributes that I associate my personality with and that help compliment personal-efficacy. Under circumstantial pressure, I remain adaptable, agreeable, and open to experience.I am currently a Postdoctoral Fellow at the Center for Autonomy working with Professors Atlas Wang and Ufuk Topcu. I am part of the Autonomous Systems Group and the VITA Research Group at the University of Texas at Austin.I am developing neuro-symbolic architectures with research centered at the intersection of generative AI, assured active perception, prediction, and trustworthy sequential decision making for autonomous systems.I have achieved state-of-the-art results on Waymo Motion Prediction Dataset via my work on MPC-PF. Past experience includes various projects such as: WATonoBus, DL-based state estimation, 2D/3D object detection (from cyclists to snow covered curbs), VO, SLAM, and safe autonomous decision making through internships at GM (Global R&D), Clearpath Robotics (R&D), and more.

Neel P. Bhatt's Current Company Details
The University of Texas at Austin

The University Of Texas At Austin

View
Research Scientist
Austin, TX, US
Neel P. Bhatt Work Experience Details
  • The University Of Texas At Austin
    Research Scientist
    The University Of Texas At Austin
    Austin, Tx, Us
  • The University Of Texas At Austin
    Postdoctoral Fellow
    The University Of Texas At Austin Sep 2023 - Present
    Austin, Tx, Us
    Working with Professors Ufuk Topcu and Atlas Wang at the Autonomous Systems Group and VITA Research Group at the Center for Autonomy. I am developing neurosymbolic foundation model architectures with research centered at the intersection of generative AI, assured active perception, prediction, and trustworthy sequential decision making for autonomous systems.
  • University Of Waterloo - Mechatronics Vehicle Systems Laboratory
    Phd Researcher - Perception/Prediction
    University Of Waterloo - Mechatronics Vehicle Systems Laboratory Sep 2018 - May 2023
    Waterloo, Ontario, Ca
    Research in perception, predicition, and safe autonomous decision making for autonomous vehicles. Currently investigating methods to improve performance of real-time object trajectory prediction algorithms and motion interaction models for various (non sign controlled) urban driving settings.Team lead: WATonoBus Autonomous Shuttle ProjectI led a group of over 15 graduate researchers on the WATonoBus project at MVS Lab working on software and algorithmic development of perception and prediction modules required for Canada’s first autonomous shuttle bus approved via the ministry’s autonomous vehicle pilot.
  • General Motors
    Software Engineering Intern - R&D - Autonomous Driving (Machine Learning)
    General Motors Jun 2019 - Sep 2019
    Detroit, Michigan, Us
    Worked on DL models for enhancing vehicle state estimation:• Designed and implemented a novel real-time supervisory DL framework for vehicle velocity estimation consisting of a deep LSTM based network architecture achieving > 95% accuracy – ROI for patent submitted• Developed an automatic data labelling tool for pipeline implementation speed-up• Implemented an automated data generation and augmentation technique to ensure class balance and generalizability
  • Watonomous
    Perception Core Team Member - Traffic Light Detection And State Recognition
    Watonomous Sep 2018 - Aug 2019
    Waterloo, Ontario, Ca
    • Tested various methods ranging from purely feature based methods (FLANN) to Deep Learning based methods (SSD, FRCNN, YOLOv3) • Implemented data augmentation methods and retrained TensorFlow based object detection models to detect and classify different types of traffic lights to achieve higher accuracy than state-of-the-art when tested on test images specific to application
  • Clearpath Inc.
    Applications Engineering Intern
    Clearpath Inc. May 2017 - Sep 2017
    Kitchener, On, Ca
    • Conducting robot simulations with Gazebo and ROS for development of the Turtlebot (see Clearpath’s blog post: https://goo.gl/GtC7Dy).• Design focused on addressing needs of robot autonomy team such as designing for an obstruction free field of view for effective image processing, recognition, and control.
  • Advanced Micro And Nanosystems Lab
    Research And Development Intern
    Advanced Micro And Nanosystems Lab May 2016 - Aug 2016
    Toronto, Ontario, Ca
    • Designed and fabricated an easy to use and maintain adapter for vibration and acoustic isolation of one of a kind Atomic Force Microscope (AFM) with resolution better than 0.05 nm – costing $200 million. • Design and fabricated a piezoelectric inertia driven linear actuator for coarse positioning of AFM cantilever tip.• Analysed the structure and mechanics of a piezoelectric flexure using ANSYS simulations for future use as a micro positioner. • Used standardized fasteners, electrical connectors, and vibration dampers to reduce cost of the commercial adapter by 2-3 times.
  • Microcellular Plastics Manufacturing Laboratory Http://Mpml.Mie.Utoronto.Ca/Lab/Research/Research.Ht
    Research And Development Intern
    Microcellular Plastics Manufacturing Laboratory Http://Mpml.Mie.Utoronto.Ca/Lab/Research/Research.Ht May 2015 - Sep 2015
    Toronto, Ontario, Ca
    • Characterized the morphology and bulk properties of polymeric foams and their composites usingscanning electron microscope (SEM)• Studied and reviewed the geometric patterns of the cellular structure• Learnt how to analyze discrete event procedures and algorithms, mathematical structures behind, and design of experiment toward parametric study and simulation of relevant parameters that governs the geometry of cellular structures.• Programmed 3D CAD software using MATLAB and Java to model the cellular microstructure of polymeric foams and their composites.
  • First Team 4659-Warrior Robotics | Https://Www.Facebook.Com/4659Robotix | 4659Warriors.Com/
    Co Founder: 4659 Warrior Robotics
    First Team 4659-Warrior Robotics | Https://Www.Facebook.Com/4659Robotix | 4659Warriors.Com/ Sep 2011 - Sep 2014
    Manchester, Nh, Us
    As the co founder of this community team, some of my duties included:• Managing team meetings and coordinating with alliance members during competitions.• Organizing and planning team duties and milestones to be achieved to achieve success at various competitions.• Helping team members complete given tasks so as to cope up for any delays and ensuring that robots were build according to the schedule.• Leading team members to make critical decisions for robot components and game based mechanisms at FIRST Robotics Competition (FRC). • Designing robot components ranging from drive-trains, hoppers, and end effectors via CAD software such as AutoCad Inventor/Solid Works.• Manufacturing of parts with the help of lathes, mills, band saws, and hand tools to meet goals set by the competitions (FRC and Skills Canada).• My dedicated efforts towards the success of the team have enabled me to develop a strong skill set encapsulating leadership, team work, and creativity.
  • Skyservice Business Aviation Inc. Http://Skyservice.Com/Aboutus.Php
    Composite Structures Intern (High School Co-Op)
    Skyservice Business Aviation Inc. Http://Skyservice.Com/Aboutus.Php Jun 2013 - Aug 2013
    Mississauga, Ontario, Ca
    As Composite Structures Intern I gained necessary hands-on experience - inspected, evaluated, repaired, and replaced damaged aircraft components according to approved engineering data and process requirements using hand and power tools, as well as specialized equipment and materials. Some of the daily activities included:• Inspection of Safety equipment and making sure they are free from obstructions.• Airplane fluid and component inspection.• Inspection of components such as window glasses and tube lights (C-check).• Checking for lubricants such as aero shell, molyketone etc.• Measuring and recording Hobbs rating (electric power rating).• Repair of equipment eg. Installing new fasteners.• Preparing “Snags” for incomplete projects.

Neel P. Bhatt Skills

Leadership Teamwork Robotics Programming Mechatronics Engineering Research Creativity Skills Manufacturing Cad Solidworks Matlab C Mathematica Comsol Rapid Prototyping Engineering Design Microcontrollers Design Flexibility Self Directed Learning Problem Solving Project Planning Arduino Program Management Electronics Materials Mathematics Microsoft Office

Neel P. Bhatt Education Details

  • University Of Waterloo
    University Of Waterloo
    Robotics And Mechatronics
  • University Of Toronto
    University Of Toronto
    Mechanical Engineering - Minor In Mechatronics And Robotics
  • Port Credit Secondary School
    Port Credit Secondary School
    Engineering

Frequently Asked Questions about Neel P. Bhatt

What company does Neel P. Bhatt work for?

Neel P. Bhatt works for The University Of Texas At Austin

What is Neel P. Bhatt's role at the current company?

Neel P. Bhatt's current role is Research Scientist.

What is Neel P. Bhatt's email address?

Neel P. Bhatt's email address is ne****@****ons.com

What schools did Neel P. Bhatt attend?

Neel P. Bhatt attended University Of Waterloo, University Of Toronto, Port Credit Secondary School.

What are some of Neel P. Bhatt's interests?

Neel P. Bhatt has interest in Social Services, Economic Empowerment, Education, Environment, Science And Technology.

What skills is Neel P. Bhatt known for?

Neel P. Bhatt has skills like Leadership, Teamwork, Robotics, Programming, Mechatronics, Engineering, Research, Creativity Skills, Manufacturing, Cad, Solidworks, Matlab.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.