Shrutarv Awasthi

Deployed a swarm of micro UAVs alongside humans to automate the task of picking up multiple packages from various locations and delivering them to the specified destination. The task is performed in a warehouse-like environment using Crazyflie UAVs. Presented at MHCL 2022. + Achieved state-of-the-art accuracy in Human Activity Recognition when using video-based pose-estimation data as source for Transfer Learning. Deployed a Deep tCNN model on time series sensor data. ICPR 2022. + High Speed Perception

Preparing and implementing unit test cases for context dependent learning using deep reinforcement learning in python.

- Generated multivariate time series data using conditional GANs. - Time Series Classification using deep learning architectures. - Implemented MetaBags: Bagged decision trees for regression

Forecasting weather pattern in Germany by performing: o Data aggregation and data mining. o Data exploration: Identify relations between features using python plots. o Data Analysis: Visualizing data to identify trends, creating & selecting features. o Creating a model which fits the data and makes highly accurate prediction. o Automatic data extraction using python o Planning a strategy considering multiple factors for electric vehicle charging stations along German motorways.

- Developed a feedback functionality for the company’s website using JAVA (GWT) - Implemented statistical analysis of user inputs. - Created style sheets (CSS) for designing widgets. - Designed HTML widgets.

• Coordinated with client in gap analysis & solution mapping of Product Lifecycle Management (PLM) application-Teamcenter, based on JAVA. Helped clients in mapping business requirements by customizing multiple functionalities, in the vanilla version of application. • Data analysis and software development. • Automated using LINUX scripting. • Used SQL to query the database while bug fixing & customization. • Used python to analyse and forecast application usage by users. • Ensured quality of deliverables.

Computer Vision, Deep Learning, Artificial neural networks, computational intelligence, mobile robots, robotic manipulators, Mathematics

Industrial automation, soft computing techniques, micro-controllers, control system