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

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 / Aug 20, 2021

Tao, T., Zhang, Z., & Yang, X. (2021). Visual Perception Method Based on Human Pose Estimation for Humanoid Robot Imitating Human Motions. 2021 2nd International Conference on Control, Robotics and Intelligent System. https://doi.org/10.1145/3483845.3483894

Bio-inspired visual attention and object recognition

Intelligent Computing: Theory and Applications V / Apr 27, 2007

Khosla, D., Moore, C. K., Huber, D., & Chelian, S. (2007). Bio-inspired visual attention and object recognition. SPIE Proceedings. https://doi.org/10.1117/12.719981

Bio-inspired method and system for actionable intelligence

Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing / May 01, 2009

Khosla, D., & Chelian, S. E. (2009). Bio-inspired method and system for actionable intelligence. SPIE Proceedings. https://doi.org/10.1117/12.820505

A bio-inspired system for spatio-temporal recognition in static and video imagery

Intelligent Computing: Theory and Applications V / Apr 27, 2007

Khosla, D., Moore, C. K., & Chelian, S. (2007). A bio-inspired system for spatio-temporal recognition in static and video imagery. SPIE Proceedings. https://doi.org/10.1117/12.719975

The neural basis of decision-making during sensemaking: Implications for human-system interaction

2015 IEEE Aerospace Conference / Mar 01, 2015

Howard, M. D., Bhattacharyya, R., Chelian, S. E., Phillips, M. E., Pilly, P. K., Ziegler, M. D., Yanlong Sun, & Hongbin Wang. (2015). The neural basis of decision-making during sensemaking: Implications for human-system interaction. 2015 IEEE Aerospace Conference. https://doi.org/10.1109/aero.2015.7118968

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) / Nov 01, 2012

Chelian, S. E., Oros, N., Zaldivar, A., Krichmar, J. L., & Bhattacharyya, R. (2012). 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). https://doi.org/10.1109/devlrn.2012.6400811

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) / Aug 01, 2015

Chelian, S. E., Paik, J., Pirolli, P., Lebiere, C., & Bhattacharyya, R. (2015). 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). https://doi.org/10.1109/devlrn.2015.7346127

Executive control of cognitive agents using a biologically inspired model architecture of the prefrontal cortex

Biologically Inspired Cognitive Architectures / Oct 01, 2012

Srinivasa, N., & Chelian, S. E. (2012). Executive control of cognitive agents using a biologically inspired model architecture of the prefrontal cortex. Biologically Inspired Cognitive Architectures, 2, 13–24. https://doi.org/10.1016/j.bica.2012.07.001

Application of a neural network model of prefrontal cortex to emulate human probability matching behavior

Biologically Inspired Cognitive Architectures / Oct 01, 2014

Chelian, S. E., Uhlenbrock, R. M., Herd, S., & Bhattacharyya, R. (2014). Application of a neural network model of prefrontal cortex to emulate human probability matching behavior. Biologically Inspired Cognitive Architectures, 10, 10–16. https://doi.org/10.1016/j.bica.2014.11.002

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) / Jul 01, 2019

Miller, S. L., Chelian, S., McBurnett, W., Tsou, W., & Kruse, A. A. (2019). 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). https://doi.org/10.1109/embc.2019.8856758

A spiking thalamus model for form and motion processing of images

The 2013 International Joint Conference on Neural Networks (IJCNN) / Aug 01, 2013

Chelian, S. E., & Srinivasa, N. (2013). A spiking thalamus model for form and motion processing of images. The 2013 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/ijcnn.2013.6706790

Forensic foraging of change detection in opponent strategies with a neural model of the interactions between temporal and prefrontal cortex

Biologically Inspired Cognitive Architectures / Oct 01, 2014

Phillips, M. E., Chelian, S. E., Pirolli, P., & Bhattacharyya, R. (2014). Forensic foraging of change detection in opponent strategies with a neural model of the interactions between temporal and prefrontal cortex. Biologically Inspired Cognitive Architectures, 10, 17–23. https://doi.org/10.1016/j.bica.2014.11.003

DISCOV (DImensionless Shunting COlor Vision): A neural model for spatial data analysis

Neural Networks / Jan 01, 2013

Carpenter, G. A., & Chelian, S. E. (2013). DISCOV (DImensionless Shunting COlor Vision): A neural model for spatial data analysis. Neural Networks, 37, 93–102. https://doi.org/10.1016/j.neunet.2012.08.012

Cyber-Neuro RT: Real-time Neuromorphic Cybersecurity

Procedia Computer Science / Jan 01, 2022

Zahm, W., Stern, T., Bal, M., Sengupta, A., Jose, A., Chelian, S., & Vasan, S. (2022). Cyber-Neuro RT: Real-time Neuromorphic Cybersecurity. Procedia Computer Science, 213, 536–545. https://doi.org/10.1016/j.procs.2022.11.102

Learning to Prognostically Forage in a Neural Network Model of the Interactions between Neuromodulators and Prefrontal Cortex

Procedia Computer Science / Jan 01, 2014

Chelian, S. E., Ziegler, M. D., Pirolli, P., & Bhattacharyya, R. (2014). Learning to Prognostically Forage in a Neural Network Model of the Interactions between Neuromodulators and Prefrontal Cortex. Procedia Computer Science, 41, 32–39. https://doi.org/10.1016/j.procs.2014.11.081

A model of proactive and reactive cognitive control with anterior cingulate cortex and the neuromodulatory system

Biologically Inspired Cognitive Architectures / Oct 01, 2014

Ziegler, M. D., Chelian, S. E., Benvenuto, J., Krichmar, J. L., O’Reilly, R., & Bhattacharyya, R. (2014). A model of proactive and reactive cognitive control with anterior cingulate cortex and the neuromodulatory system. Biologically Inspired Cognitive Architectures, 10, 61–67. https://doi.org/10.1016/j.bica.2014.11.008

Robust Classification of Contraband Substances using Longwave Hyperspectral Imaging and Full Precision and Neuromorphic Convolutional Neural Networks

Procedia Computer Science / Jan 01, 2022

Park, K. C., Forest, J., Chakraborty, S., Daly, J. T., Chelian, S., & Vasan, S. (2022). Robust Classification of Contraband Substances using Longwave Hyperspectral Imaging and Full Precision and Neuromorphic Convolutional Neural Networks. Procedia Computer Science, 213, 486–495. https://doi.org/10.1016/j.procs.2022.11.095

Von drehmomentgeregelten Roboterarmen zum intrinsisch nachgiebigen humanoiden Roboter

Roboter in der Gesellschaft / Oct 26, 2018

Albu-Schäffer, A. (2018). Von drehmomentgeregelten Roboterarmen zum intrinsisch nachgiebigen humanoiden Roboter. Roboter in Der Gesellschaft, 1–14. https://doi.org/10.1007/978-3-662-57765-3_1

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).

Links & Social Media

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