Suhas Chelian

Lead in machine learning, neuroscience

Research Expertise

machine learning
computer vision
neuroscience
Artificial Intelligence
Cognitive Neuroscience
Experimental and Cognitive Psychology

About

Team lead in machine learning, neuroscience. <br> I have captured and executed projects for DARPA, NASA, and several international clients (GM, Toyota, Fujitsu). \* 12 projects transitioned--$10M revenue captured (31+ publications, 32+ patents) \* 9 awards including those from NASA, GM, and HRL Laboratories \* I also have startup, contracting and consulting experience \* US citizen (authorized to work) <br> Last updated: Aug 30, 2023

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Publications

Visual Perception Method Based on Human Pose Estimation for Humanoid Robot Imitating Human Motions
2021 2nd International Conference on Control, Robotics and Intelligent System
2021
Bio-inspired visual attention and object recognition
Intelligent Computing: Theory and Applications V
2007
Bio-inspired method and system for actionable intelligence
Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing
2009
A bio-inspired system for spatio-temporal recognition in static and video imagery
Intelligent Computing: Theory and Applications V
2007
The neural basis of decision-making during sensemaking: Implications for human-system interaction
2015 IEEE Aerospace Conference
2015
Model of the interactions between neuromodulators and prefrontal cortex during a resource allocation task
2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL)
2012
Reinforcement learning and instance-based learning approaches to modeling human decision making in a prognostic foraging task
2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)
2015
Executive control of cognitive agents using a biologically inspired model architecture of the prefrontal cortex
Biologically Inspired Cognitive Architectures
2012
Application of a neural network model of prefrontal cortex to emulate human probability matching behavior
Biologically Inspired Cognitive Architectures
2014
An Investigation of Computer-based Brain Training on the Cognitive and EEG Performance of Employees
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
2019
A spiking thalamus model for form and motion processing of images
The 2013 International Joint Conference on Neural Networks (IJCNN)
2013
Forensic foraging of change detection in opponent strategies with a neural model of the interactions between temporal and prefrontal cortex
Biologically Inspired Cognitive Architectures
2014
DISCOV (DImensionless Shunting COlor Vision): A neural model for spatial data analysis
Neural Networks
2013
Cyber-Neuro RT: Real-time Neuromorphic Cybersecurity
Procedia Computer Science
2022
Learning to Prognostically Forage in a Neural Network Model of the Interactions between Neuromodulators and Prefrontal Cortex
Procedia Computer Science
2014
A model of proactive and reactive cognitive control with anterior cingulate cortex and the neuromodulatory system
Biologically Inspired Cognitive Architectures
2014
Robust Classification of Contraband Substances using Longwave Hyperspectral Imaging and Full Precision and Neuromorphic Convolutional Neural Networks
Procedia Computer Science
2022
Von drehmomentgeregelten Roboterarmen zum intrinsisch nachgiebigen humanoiden Roboter
Roboter in der Gesellschaft
2018

Education

Ph.D., Computational Neuroscience / December, 2005

Experience

Quantum Ventura

Principal Scientist / June, 2020Present

• Team lead in deep learning and computer vision projects for several government customers (DOD, DOE, etc.). • $2.5M+ captured in 8 SBIR/STTR grants captured including 2 Phase 2’s. • 3-4 projects occur at once, each with 4-6 team members including 1-2 subcontractors. • Computer vision projects: o Missile detection using infrared imagery and bio-inspired computing (technologies: U-Net, Siamese net, Keras). o Contraband detection with hyperspectral imaging and neuromorphic computing (technologies: spectral spatial ResNet, BrainChip, Keras). o UAV detection using multispectral/hyperspectral imaging (technologies: spectral spatial ResNet, Keras). • Other projects: o Network cybersecurity with deep learning using GPUs and neuromorphic computing (technologies: BrainChip, Intel Loihi, Keras). o Verification and validation of deep learning systems; time series prediction, adversarial attacks and hardening (technologies: LSTM, fast gradient sign method, Keras).

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