Tek Raj Chhetri

Tek Raj Chhetri

Researcher/PhD Student at STI Innsbruck

University of Innsbruck

Last updated on June 28, 2023


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
  • Corporate fellowship recipient from Tiroler Sparkasse in recognition of innovative ideas with local impact, attending the IECT-Hermann Hauser summer school on entrepreneurship in Innsbruck, Austria.
  • Secured the second place at Innodays Klimathon, a hackathon focusing on addressing large-scale sustainability and climate change issues, held in Innsbruck, Austria.
  • Awarded the Kristjan Jaak scholarship for study visits by the Archimedes Foundation in Tartu, Estonia.
  • Granted a scholarship by the Estonian Ministry of Foreign Affairs (MFA) to pursue master’s studies at the University of Tartu in Tartu, Estonia.
  • Received a full tuition waiver scholarship for master’s degree studies at the University of Tartu in Tartu, Estonia.
  • Presented with the Special Jury Award by MarketTools Research Pvt. Ltd. in Hyderabad, India.
  • Recognized with the Quality Award (Q3) by MarketTools Research Pvt. Ltd. in Hyderabad, India.
  • Achieved first and third place in two events at SAMYAK 2K12, a National Level Technology Festival held at K.L University in 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.

I also maintain a separate website for the photography that I do in my spare time. Take a look at some of my work on my photography website.

  • Artificial Intelligence
  • Data Privacy
  • Edge Intelligence & Internet of Things (IoT)
  • Knowledge Graphs
  • Sustainability
  • Distributed Systems
  • PhD in Computer Science (Thesis submitted)

    University of Innsbruck

  • Summer School on Deep-Tech Entrepreneurship

    I.E.C.T. (Institute for Entrepreneurship Cambridge Tirol) - Hermann Hauser, Wattens Austria

  • 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

Diversity Statement

My pledge to the Diversity and Inclusion

Diversity is the basis of human civilization; it is what sets us apart from others and defines our individuality. I believe that we are stronger when we work together, and that people from various walks of life and backgrounds bring unique experiences and perspectives that are essential for innovation. Working with individuals from diverse backgrounds and life experiences has allowed me to observe the benefits of diversity and inclusion for innovation; I therefore endeavour to create a positive and inclusive workplace for all coworkers and stakeholders. Moreover, I believe that everyone has the right to fair treatment and equal opportunity, regardless of their race, gender, sexual orientation, demographics, ethnicity, or opinions held. In addition, I believe that the vulnerable should be safeguarded and the underrepresented should be given the chance to develop. And therefore, I am dedicated to promoting these values in both my personal and professional lives.


Knowledge Graphs
Artificial Intelligence
Software Development

Recent Publications

Quickly discover relevant content by filtering publications.
(2023). End-to-End Multimodal Sensor Dataset Collection Framework for Autonomous Vehicles. Sensors, Impact factor: 3.9.


(2023). Towards Improving Prediction Accuracy and User-Level Explainability Using Deep Learning and Knowledge Graphs: A Study on Cassava Disease. Expert Systems With Applications, Impact factor: 8.5.

PDF Cite Code Dataset DOI

(2023). The smashHitCore ontology for GDPR-compliant sensor data sharing in smart cities. Sensors, Impact factor: 3.9.

PDF Cite Dataset DOI