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)
Last updated: Aug 30, 2023
Suhas Chelian
Lead in machine learning, neuroscience
Research Interests
About
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, 2020 — Present
• 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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