Tek Raj Chhetri

Tek Raj Chhetri

Researcher/PhD Student at STI Innsbruck

University of Innsbruck

Biography

I am a Researcher/Ph.D. student at STI Innsbruck, Department of Computer Science, University of Innsbruck. My Ph.D. thesis focuses on the use of Neurosymbolic AI to enhance the process of automated decision-making. My dissertation explores how to use various technologies such as machine learning, deep learning with semantic technology to provide scalable, efficient, interoperable solutions in an industrial context to enhance the automated decision-making process.

Prior to joining the Ph.D. program, I was a software developer at Auve Tech, a Self-driving vehicles and autonomous transportation systems company that develops a flexible level 4 autonomous shuttle. I also held a research assistant position at the Intelligent Transportation System Lab, Tartu, working on “Visual Inertial Odometry for Autonomous Vehicles relying on modern SLAM algorithms and Sensor Data Fusion” and a teaching assistant for parallel computing at the University of Tartu during his master’s studies. Earlier positions held by me include lecturer, teaching subjects such as operating systems, web technology, microprocessor and computer architecture, gazetted level 7 officer at the Ministry of Health Nepal as a computer programmer, and a junior software developer in MarketTools Research Pvt. Ltd. (now MetrixLab). Currently, I am involved in teaching and supervising student projects outside of research.

I hold a Bachelor’s degree in Computer Science & Engineering from Jawaharlal Nehru Technological University Kakinada, India and Master’s degree in Computer Science with Distributed Systems specialization from the University of Tartu, Estonia.


Honours & Awards
  • Kristjan Jaak scholarship for study visits by Archimedes Foundation, Tartu, Estonia.
  • Scholarship from the Estonian Ministry of Foreign Affairs (MFA) for master’s studies at the University of Tartu, Tartu, Estonia.
  • Full tuition waiver scholarship for master’s degree studies at the University of Tartu, Tartu, Estonia.
  • Special Jury Award, MarketTools Research Pvt. Ltd., Hyderabad, India
  • Quality Award (Q3), MarketTools Research Pvt. Ltd., Hyderabad, India
  • Won first and third place in two events at SAMYAK 2K12, a National Level Technology Festival held at K.L University, Guntur, Andhra Pradesh, India.

Personal Note

Personally, I admire all of the teachers who have assisted (are still doing) me in imparting their knowledge throughout my educational journey. However, Jennifer Widom is the one I admire the most. I took her Introduction to Databases online at Class2Go platform, which was the first online course I had ever taken. I adore the manner in which she teaches.

Interests
  • Data Privacy
  • Artificial Intelligence
  • Cloud Computing and Edge Intelligence
  • Knowledge Graphs
  • Data Analysis
  • Internet of Things (IoT), Autonomous Systems and Distributed Systems
Education
  • PhD in Computer Science (Ongoing)

    University of Innsbruck

  • PRACE Autumn School, GPU Programming with CUDA

    University of Innsbruck

  • Enabling Technologies for Industrial Internet of Things (ET-I2oT 2019)

    Università di Pisa

  • MSc in Computer Science

    University of Tartu

  • B.Tech in Computer Science & Engineering

    Jawaharlal Nehru Technological University Kakinada

Recent Publications

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(2022). A Combined System Metrics Approach to Cloud Service Reliability Using Artificial Intelligence. Big Data and Cognitive Computing.

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(2022). Knowledge Graph Based Hard Drive Failure Prediction. Sensors.

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(2021). Towards Reusable Ontology Alignment for Manufacturing Maintenance. SEMANTiCS 2021 EU.

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