Kishore Kumar Reddy
Associate Director, Research, Artificial Intelligence Discipline Lead
- Role
- Associate Director, Research, Artificial Intelligence Discipline Lead at RTX
- Location
- East Hartford, CT, US
- LinkedIn followers
- 500 followers
About Kishore Kumar Reddy
I currently lead the Artificial Intelligence (AI) discipline at Raytheon Technologies (RTX) Research Center. In this role,(a) I develop and execute strategies to improve the adoption of Artificial Intelligence (AI) technologies like Machine Learning, Deep Learning, Computer Vision, Robotics/Autonomy, and Human Machine Interactions in RTX business units, and,(b) direct technical and strategic planning for AI research and project execution. I interface with the RTX Research Center leadership to regularly apprise them of the positive impact accruing from the execution of the AI initiatives at the Research Center. I am a co-inventor on more than 20 patents under review (10 approved) with more than 25 peer-reviewed publications in the fields of computer vision, deep learning (DL) and machine learning. As a leader in these areas of research, I have given several invited talks, served as a panelist at prestigious ML conferences and organized multiple workshops. I am also a recipient of consecutive 2016 and 2017 Outstanding Achievement Awards (highest team technical excellence achievement award at RTRC) for the automation of Pratt and Whitney Gear Turbo Fan Blade inspection and Condition Based Maintenance for OTIS elevator doors, respectively. APPLICATIONS: Defense, Aerospace and Building Systems [RTX/UTC Business Units: RMD - Raytheon Missiles & Defense, RIS - Raytheon Intelligence & Space, Pratt & Whitney, Collins Aerospace, Sikorsky Aircraft, OTIS, CCS - Climate Controls and Security] AI enabled products/services, Condition Based Maintenance, AI for Design/Discovery, Perception, Autonomy, Virtual Sensing/Sensor Fusion, Visual Inspection, Human Machine Interactions, Additive Manufacturing, Supply Chain, and Business Intelligence
Experience
Associate Director, Research, Artificial Intelligence Discipline Lead
Jan 2021 — Present
ROLES- Discipline Lead for Artificial Intelligence (AI) team - Research Center\'s AI/ML/Autonomy/Robotics/HMI Technical Area Lead (TAL) for Raytheon Missiles & Defense (RMD) and Raytheon Intelligence & Space (RI & S)- Principal Investigator and technical contributor for AI/ML/DL, CV, Robotics, Autonomy, HMI and Data Science projects KEY RESPONSIBILITIES- Leading Artificial Intelligence group doing research and executing projects in the area of Computer Vision, Machine Learning (ML/DL), Autonomy/Robotics and Human Machine Interactions (AR, VR, XR)- Develop and execute AI strategies/road-map for Internal and Contract Research And Development (IRAD/CRAD) and IP strategy - Establish strategic partnerships and engage with national labs, companies and universities - Talent acquisition/retention and career development of my team - Principle investigator and technical contributor for research and Business Unit projects (Machine Learning, Deep Learning, Computer Vision, Robotics, Autonomy, HMI and Data Analytics) APPLICATIONS: Aerospace and Defense Systems (RTX Business Units: Pratt & Whitney, Collins Aerospace, Raytheon Missiles & Defense, and Raytheon Intelligence & Space ) AI enabled products/services, Condition Based Maintenance, AI for Design/Discovery, Perception, Autonomy, Virtual Sensing/Sensor Fusion, Visual Inspection, Human Machine Interactions, Robotics, Additive Manufacturing, Supply Chain, Business Intelligence, and Communications/Networks
Education
Jawaharlal Nehru Technological University
Bachelor's degree, Electronics and Communication Engineering
1998 — 2002
University of Central Florida
PhD, Computer Vision
2006 — 2012
Fachhochschule Südwestfalen
Master's degree, Electronic Systems and Engineering Management
2003 — 2007
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