Suhas Chelian Email & Phone Number

Texas, United States

San Jose, Ca, Us

• Teaching graduate courses in deep learning and reinforcement learning.• Developing classroom material such as lecture notes, coding assignments, and exams; grading and guiding students.

• Experienced team lead in deep learning and computer vision projects for several large customers (DOD, DOE, etc.).• Acquired and ran over 10+ competitive contracts worth $6M+, including 3 contract renewals each worth about $1M.• I manage 2-4 projects concurrently, leading and mentoring 3-6 team members per project. I also coordinate 1-2 outside subcontractors for each project.• Other responsibilities include: running status meetings, writing customers reports; hiring, conducting 1-on-1 meetings, and writing performance reviews; and standardizing and streamlining processes (kaizen/continual improvement) to make the company more efficient and effective. In addition to $6M+ worth of contracts, 4 publications have been published in international venues.• Computer vision projects:o Materials identification and temperature estimation using hyperspectral imaging (technologies: spectral python, OpenCV, TEMPEST).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, scipy).o Materials identification for flammability using machine learning, explainable AI (XAI), and cheminformatics (technologies: pandas, scikit learn, XGBoost, etc.)

Oslo, Oslo, No

• Provided beta testing, competitive analyses, and partner outreach for a neurofeedback app to improve the product and the company’s partnerships.• Engaged community members in the Drowzee Community, a Slack space.

San Diego, California, Us

• Designed neuroscience reports and directed team members to generate them for customers in professional sports (MLB, national teams, etc.), corporate and military accounts. I also developed several automation processes to increase accuracy and efficiency in report generation.• We showed, for the first time, that brain training improved cognitive performance and brain network dynamics across subjects from different professions and ages. In addition to securing several contracts, 1 patent and 3 publications came from the work, demonstrating revenue and rigorous attention to detail vetted by outside parties.• Analyzed EEG, behavioral and psychological data to develop custom brain assessment and training programs (technologies: pandas, scipy, EEGLAB).

Jp

• Architected and managed teams for 2 international machine learning efforts: one with explainable AI (XAI) on corporate sales data, another with deep learning on graph/network data.• The first project was delivered to the EU, the second to Japan and the EU. Two patents and one publication came from the work.• Coordinated onshore and offshore developers, navigating cultural, technical and time zone challenges (technologies: pandas, scikit-learn, XGBoost; chainer, Deep Tensor).

Plano, Tx, Us

• Led the development of 2 computer vision projects for domestic robots, one with CUDA acceleration for textureless pose estimation, another with deep learning for articulated pose estimation.• Toyota was having great difficulty performing technology transfer from universities--4 other project managers in the previous 5 years could not do it. I was the first and only project manager to problem solve the process and execute technology transfer from a leading US university to Toyota North America, then onto the contract originator Toyota Japan. • Numerous patents and one publication came from the effort (technologies: CUDA, Caffe, OpenCV, ROS).

Malibu, California, Us

Designed, assembled and tested the computer vision system for NASA/GM’s Robonaut 2--there is one copy of this robot on the International Space Station.• Captured (won) and executed 7 grants for DARPA, IARPA, GM, and Boeing in machine learning, computer vision and robotics resulting in many follow-on contracts, patents, and publications (technologies: C/C++, OpenCV, Matlab, ROS, etc.).

Phd, Computational Neuroscience

Certificate, Project Management Principles And Practices

Bs, Computer And Cognitive Science Double Major