girish chowdhary

lecturer

About

Google Scholar page: http://scholar.google.com/citations?user=pf2zAXkAAAAJ&hl=en Webpage of the research group that I direct at UIUC: http://daslab.illinois.edu/ I am the CTO and co-founder of EarthSense: www.earthsense.co What if hundreds of robots and drones worked together to optimize your farm? What if excavators and backhoes learned from the best operators and taught you new tricks? What if thousands of drones and robots collaborated to reveal denied and concealed information? These and other visions for a better tomorrow drive our research at the Distributed Autonomous Systems (DAS) Laboratory. We pursue research at the intersection of decision and control theory, machine learning, and robotics. Our goal is to enable the next generation of autonomous systems that operate reliably in stochastic time-varying and distributed settings. We are a highly motivated and dedicated group of interdisciplinary researchers focused on challenging the state of the art.

Country

united states

City

champaign

Industry

aviation & aerospace

Skill

simulations, algorithms, control systems design, robotics, machine learning, kalman filtering, sensors, digital signal processors, mathematical modeling, aerospace, control theory, adaptive control, modeling, embedded systems, artificial intelligence

Experience

co-founder and chief technology officer

earthsense

2016-3 - Present · 10 yrs 6 mos

Co-founder and Chief Technology Officer, EarthSense inc: www.earthsense.co

research engineer

dlr

2004-4 - 2006-8 · 2 yrs 5 mos

* Flight Vehicle Control: robust control and disturbance rejection * autonomous * landing * autonomous autorotation * adaptive control and feed-forward trim estimation * Guidance, control, and navigation algorithms for the * DLR ARTIS UAS * high fidelity Hardware-in-the-Loop and Software-in-the-Loop * simulation for UAS * embedded software development * automatic C code generation * for rapid prototyping

consultant and chief technology advisor

quarkonics

2013-1 - 2015-12 · 3 yrs

I provide technical expertise and leadership in bringing state-of-the-art artificial intelligence, machine learning, adaptive control and decision making techniques to deep well drilling.

co-op controls engineer

adaptive flight, inc.

2008-8 - 2010-8 · 2 yrs 1 mo

* Involved in design, development, testing, and automation of the AFI Hornet * UAS, the world's smallest commercially available rotorcraft UAS * Improved inertial navigation system by digital and analog signal processing * Initiated and wrote grant proposals (SBIR, STTR) * Real-time embedded guidance, navigation, and control software development on * DSP processor boards in C, C++ * Led and conducted flight tests with the flight team

research engineer ii

georgia institute of technology

2010-12 - 2011-11 · 1 yr

* Research areas: * Control Systems: Concurrent-Learning adaptive control for improved convergence * memory-enabled nonlinear control * aerospace control and guidance * fault tolerant * adaptive control * real-time health monitoring * decentralized networked control * Dynamics and System Identification: Dynamic modeling, system identification, * and high fidelity simulation development for airplanes and rotorcrafts * real-time * parameter identification and health monitoring * Design, development, avionics/sensor integration, and * automation of over nine research Unmanned Aerial Systems (UAS) * guidance, * control, navigation, and communication algorithm development and software * implementation * led and conducted flight testing for experimentation * April 2004 July 2006, Research Engineer, Autonomous Systems * Research areas: * System Identification and State Estimation: System identification, recursive * parameter estimation, and state estimation for low-cost UAS * real-time state * estimation and multi-sensor navigation for low-cost UAS with off-the-shelf sensors

ph.d candidate and gra at georgia institute of technology

georgia institute of technology

2006-8 - 2010-12 · 4 yrs 5 mos

Dissertation: Concurrent Learning for Convergence in Adaptive Control Without Persistency of Excitation Advisor: Prof. Eric N. Johnson I developed a novel adaptive control architecture that uses recorded data concurrently with current data to guarantee exponential stability of the closed loop without requiring persistence of excitation. These concurrent-learning controllers can greatly increase capabilities of a number of physical systems, including manned and unmanned aircraft, industry processes, and mechanical systems.

lecturer

dr batu lonere

1994-8 - Present · 32 yrs 1 mo

postdoctoral associate

massachusetts institute of technology (mit)

2011-10 - 2013-2 · 1 yr 5 mos

I am a part of the Laboratory for Information and Decision Systems (LIDS) and the Aerospace Controls Laboratory (ACL). Currently working on creating technologies for enabling persistent search and track missions, and fundamental research in using Bayesian nonparametric techniques for making inferences about and decentralized planning for hetereogeneous multi-agent cooperative networks.

assistant professor

oklahoma state university

2013-3 - 2016-6 · 3 yrs 4 mos

assistant professor and donald biggar willet faculty fellow

university of illinois at urbana-champaign

2016-7 - Present · 10 yrs 2 mos

* Department of Agricultural and Biological Engineering, * Department of Aerospace Engineering * Director of Distributed Autonomous Systems Laboratory

Education

georgia tech

peoples high school nanded

2012-1 - 2014-1 · 2 yrs 1 mo

peoples high school nanded

1980-1 - 1985-1 · 5 yrs 1 mo

georgia institute of technology

2017-1 - 2018-1 · 1 yr 1 mo

georgia institute of technology

2016-1 - 2020-1 · 4 yrs 1 mo

rmit university

aerospace engineering

1999-1 - 2003-1 · 4 yrs 1 mo

Graduated with Honors, First Class

georgia institute of technology

philosophy

2006-1 - 2010-1 · 4 yrs 1 mo

Dissertation: Concurrent Learning for Convergence in Adaptive Control Without Persistency of Excitation Advisor: Dr. Eric N. Johnson