Akshat Tandon

1. Part of major research acitivities in AI in central R&T in Airbus. 2. Pivotal role in defining central R&T Road-map on emerging technologies like, Quantum AI. 3. Headed research efforts across multiple projects focused on integrating Quantum Technology to enhance classical AI methodologies like, reinfocement leanring, graph neural network. 4. Led and delivered core research initiatives, directly impacting high-profile programs including Future Combat Air Systems, Urban Air Mobility, etc.

Collaborative project with German Aerospace Center(DLR) - Tacthand 1. Contributed to drafting research proposal on Tactile sensors for robots and AI. 2. Developed advanced solutions for smart artificial skin using top tactile sensors on Prosthetic robotic hand. 3. Supervised master’s students.

Deep Learning and Robotics Challenge 2017

Title- High Accuracy Deep convolution Network for Embedded systems on autonomous cars. Research focus on finding and implementing various methods to accelerate inference of the state of the art autonomous driving perception models, without sacrificing accuracy. Developed a attention mechanism based Neural network, that could predict the relevance of each convolution filter for a forward pass. (Focus: Explainability, Deep Visualization. Frameworks: Tensorflow, Cudnn, Keras. Languages- Python, C++)

Part time. 1. Contributing to technical bricks of the projects related to AI, Cognitive Robotics and Domain Specific Languages. 2. Tutoring master students on Machine learning course in the university. 3. Designing and delivering weekly practical sessions and lectures on ML. 4. OROCOS, ROS, C++, Gazebo.

Tutor for Basic Machine learning course

Probabilistic prediction using - - Gaussian mixture regression - Extreme learning machine - Principal Component Analysis - Expectation maximization

Requirement Analysis, Embedded A level testing, Automated testing on QTP, VBScript, Selenium. Functional testing

- Development of Human computer interface for distributed systems on CORBA in C# - Development of distributed systems for live analysis of micro controller values for automation level 2.

Developed web based application in PHP, Mysql, Javascript.

Pilot Project

Cognitive Robotics, Applied Robotics, Robotic Manipulation, Neural Network, Machine Learning, Deep Learning, Embedded Systems, Internet Of Things

Distributed systems, Operating Systems, Computer Networks, Compiler design, Artificial intelligence, computer vision, pattern recognition, OOPs, Digital Electronics.

School - City Montessori School, India. Completed with 84.0%

School - City Montessori School, India. Completed with 83.0%