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General Information

Full Name Aniketh Ramesh
Date of Birth 31th July 1994

Work with me

I am a doctoral student with a specialization in designing experiments for human multi-robot system interaction. My research focuses on enabling a single human operator to efficiently monitor and collaborate with multiple intelligent robots in dynamically changing, extreme environments. I bridge the worlds of robotics, machine learning, and UX design to enhance human multi-robot teaming. With extensive experience in Python, data science, and open-source AI libraries, I'm well-equipped to design innovative robotics solutions for a wide variety of industrial applications.

Education

  • 2020 - Present
    PhD
    Extreme Robotics Laboratory (ERL), University of Birmingham, England
    • Developed the ‘Robot Vitals and Robot Health’ framework to quantify robot performance degradation.
    • Applied this framework to develop an AI agent that can assist remote tele-operator’s multi-robot missions.
    • Supervisors
      • Prof. Rustam Stolkin
      • Dr. Manolis Chiou
  • 2019
    MSc Robotics
    University of Bristol, England
    • Thesis on Mapping hazardous environments using a swarm of robots.

Academic Collaborations

  • 2022
    Data Study Group
    Alan Turing Institute
    • Performed data wrangling and exploratory analysis on electric train brake time series data to predict brake failures. Used Pandas, NumPy and Seaborn for programming, presented research findings, experimental results, and methodology in a final report.
  • 2021
    Data Study Group
    Alan Turing Institute
    • Facilitated an interdisciplinary research group to develop a machine learning model to automate dark field microscopy (DFM) based vascular perfusion index calculation. Used OpenCV and Pytorch for developing a DFM scan quality assessment tool. Presented research findings, experimental results, and methodology in a final report.
  • 2021
    Showcase Planner, UK RAS Robotics Festival
    University of Birmingham
    • Mobilised the team, planned, and organised the ERL showcase for the festival.

Academic Training

  • 2022
    Cambridge Ellis Machine Learning Summer School
    University of Cambridge
    • Some of the Topics covered
      • Causal Inference
      • Gaussian Processes
      • Graphical Neural Networks
      • Bayesian Networks
      • Neural Controlled Differential Equations
  • 2020
    Multi-Robot Systems Summer School
    CTU Prague
    • Some of the Topics covered
      • Learning for in multi-robot systems research mapping
      • Localisation,
      • Swarm optimisation algorithms
      • Search and rescue missions
      • Data visualisation

Academic Service

  • Paper Reviews
    • Conferences
      • HRI 2021
      • IROS 2022
      • AAMAS 2023
  • Program Committee member
    • Workshops
      • VAT4HRT'23 - Variable Autonomy for human-robot Teaming Workshop at ACM/IEEE HRI 2023

Technical Skills

  • Platforms
    • ROS
    • ROS2
    • Unity
  • Programming Languages
    • Python
    • C
    • C++
    • C#
  • ML /Data Visualisation Libraries
    • Pytorch
    • Keras
    • Scikit-Learn
    • Seaborn
    • Pandas

Invited Talks

  • March 2023
    Towards Triaging Human-Multirobot teams
    Responsible AI Group, Department of Computing Science, Umea University, Sweden
  • May 2023
    Towards Triaging Human-Multirobot teams
    Inform Lab, STIIMA, National Research Council of Italy, Milan

Relevant Work Experience

  • June 2019 - July 2019
    Curriculum Design for Robotics Workshop
    Firetech Camp London
    • Designed a curriculum which simplified important robotics concepts like sensing, actuating, algorithms for children aged 9-12 based on the Lego EV3 Kit and Microsoft MakeCode.
  • Sep 2016 - Dec 2017
    Network Engineer
    Ericsson India Global Services, Mumbai, India
    • Developed a data ingestion pipeline for customer internet and call usage analysis using Pandas.

Interests / Hobbies

  • Playing the Piano, Melodica, Guitar and Darbuka
  • Classical and contemporary philosophy

References available upon Request