Shrutarv Awasthi
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Shrutarv Awasthi Email & Phone Number

Location: Germany 10 work roles 2 schools
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Role
Team Lead - EventRec Project
Location
Germany
Company size

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Shrutarv Awasthi is listed as Team Lead - EventRec Project at Chair of Material Handling and Warehousing, TU Dortmund, a with 17 employees, based in Germany. AeroLeads shows a matched LinkedIn profile for Shrutarv Awasthi.

Shrutarv Awasthi previously worked as Scientific Researcher at Chair Of Material Handling And Warehousing, Tu Dortmund and Werkstudent at Institut Für Neuroinformatik, Ruhr-Universität Bochum. Shrutarv Awasthi holds Masters, Automation And Robotics, 1.8 from Tu Dortmund University.

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Chair of Material Handling and Warehousing, TU Dortmund

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About Shrutarv Awasthi

6+ years of combined experience in robotics, software development, Data Science, Deep Learning and Machine Learning with excellent analytical and problem-solving skills.I have a major in robotics and cognitive science and love to take up challenges. Currently, I am working with RGB, event cameras and UAVs in a logistic set-up to automate tasks, with a goal to create an environment where humans can work safely alongside UAVs. I have multiple years of experience in creating predictive and analytical Machine Learning and Deep Learning based models.Skills: Python, Matlab, Unity, ROS, C++

Listed skills include Python, Matlab, Java, Programmable Logic Controller, and 7 others.

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Chair of Material Handling and Warehousing, TU Dortmund
Chair Of Material Handling And Warehousing, Tu Dortmund
Team Lead - EventRec Project
Germany
Employees
17
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10 roles

Shrutarv Awasthi work experience

A career timeline built from the work history available for this profile.

Scientific Researcher

Dortmund, North Rhine-Westphalia, Germany

## Human Drone InteractionWorking with micro UAVs in an indoor logistic set-up to automate tasks such as surveillance, data collection, transportation, and object detection. The goal is to create an environment where humans can work safely alongside UAVs.+ 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.+ Simulated the UAV swarm in Unity. + 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. Presented at ICPR 2022.+ Ensured safe flight by analyzing logs to detect & forecast anomalies.+ Implemented and deployed a real-time ML model for enabling UAVs to detect, classify and predict human actions.## High Speed PerceptionOne of the key challenges faced by high speed robots is the need for accurate and reliable perception system. Conventional frame-based cameras are unsuitable for such high-speed perception, as they are limited by their frame rate. On the other hand, event cameras are designed to detect changes in the local environment, even when objects are moving at speeds of 20 m/s or higher+ Event camera generates region proposals or bounding boxes around moving objects. This is similar to a regional proposal network in Mask-RCNN, but requires fewer bounding boxes and is faster.+ Calibrated cameras and developed drivers.+ Performed data extraction, noise filtering, data visualization and clustering, to generate bounding boxes around objects using Event camera and RGB camera in a stereo setup+ Regularly handling large disparate datasets exceeding 10GB in size.+ Experience in solving classification, regression, and optimization problems on big datasets.

Research Assistant For Artificial Intelligence

Dortmund, North Rhine-Westphalia

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

Nov 2019 - Jul 2020

Student Research Assistant

Dortmund, North Rhine-Westphalia

Forecasting weather pattern in Germany using: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 Automatic data extraction using python. o Creating a model which fits the data and makes highly accurate prediction.o Planning a strategy considering multiple factors for electric vehicle charging stations along German motorways. o Evaluation of traffic data for modeling the electricity demand of the transport sector

Jul 2019 - Jun 2020

Software Developer

Iltis

Dortmund, North Rhine-Westphalia

- 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.

May 2019 - Sep 2019

Technology Analyst

Mysuru Area, India

• Coordinated with client in gap analysis and 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.• Improved efficiency by 32-man hours per month by automating in LINUX.• Data analysis and software development using python.• Provide support for application by bug fixing. • Improved efficiency by 32-man hours per month by automating in LINUX.• Data analysis and software development using python.• Ensured quality of deliverables by preparing detailed test cases and technical specification documents for tool customization.

Jan 2018 - May 2018

Senior System Engineer

Mysuru

• Experience working with various modules in Teamcenter such as Access manager, workflow designer, change manager, structure manager, Query builder and BMIDE customization.• Software development in JAVA and LINUX. Providing solutions and customizing Teamcenter based on clients requirement.• Used SQL to query the database while bug fixing and customization.• Minimized server downtime by creating LINUX scripts for monitoring of servers.• Created a model in python to analyse and forecast application usage by users.• Designed algorithms for maintenance of projects and allocation of appropriate access control to users.

Jan 2016 - Dec 2017

System Engineer

Mysuru Area, India

Resolving problems faced by users in Teamcenter application

Jul 2014 - Dec 2015
2 education records

Shrutarv Awasthi education

Masters, Automation And Robotics, 1.8

Thesis: Video-based Pose-Estimation Data as Source for Transfer Learning in Human Activity Recognition Majors in cognitive science.

Bachelor'S Degree, Electronics And Instrumentation Engineering, 1.3

Activities and Societies: - Stood First in inter college robotics competition. - Founder of IET Sports club. - Secured 3rd position.

FAQ

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What company does Shrutarv Awasthi work for?

Shrutarv Awasthi works for Chair of Material Handling and Warehousing, TU Dortmund.

What is Shrutarv Awasthi's role at Chair of Material Handling and Warehousing, TU Dortmund?

Shrutarv Awasthi is listed as Team Lead - EventRec Project at Chair of Material Handling and Warehousing, TU Dortmund.

Where is Shrutarv Awasthi based?

Shrutarv Awasthi is based in Germany while working with Chair of Material Handling and Warehousing, TU Dortmund.

What companies has Shrutarv Awasthi worked for?

Shrutarv Awasthi has worked for Chair Of Material Handling And Warehousing, Tu Dortmund, Institut Für Neuroinformatik, Ruhr-Universität Bochum, Tu Dortmund University, Iltis, and Infosys.

How can I contact Shrutarv Awasthi?

You can use AeroLeads to view verified contact signals for Shrutarv Awasthi at Chair of Material Handling and Warehousing, TU Dortmund, including work email, phone, and LinkedIn data when available.

What schools did Shrutarv Awasthi attend?

Shrutarv Awasthi holds Masters, Automation And Robotics, 1.8 from Tu Dortmund University.

What skills is Shrutarv Awasthi known for?

Shrutarv Awasthi is listed with skills including Python, Matlab, Java, Programmable Logic Controller, R, Cuda, Teamcenter, and Raspberry Pi.

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