Scholar
Arun Sharma
Google Scholar ID: yb0e0FYAAAAJ
PhD Candidate Computer Science, University of Minnesota
Citations & Impact
Citations
225
H-index
10
i10-index
11
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- 1. Two papers accepted at AAAI Knowledge-guided ML Workshop 2025
- 2. One paper accepted at SIAM Data Mining 2025
- 3. Oral Presentation in ACM SIGSPATIAL 2024
- 4. NSF Travel Award for SIGSPATIAL 2024
- 5. One paper accepted at ACM Transactions on Spatial Algorithms and Systems
- 6. Two papers accepted at ACM SIGSPATIAL 2024
- 7. Invited Poster Presentation at Knowledge-Guided Machine Learning (KGML) Workshop 2024
- 8. One paper accepted at COSIT 2024
- 9. Invited Lightening Talk and Poster Presentation in AI-CLIMATE annual meeting
- 10. One paper accepted at SIAM Data Mining 2024
- 11. Completed internship at ESRI under Dr. Erik G. Hoel
- 12. Invited Presentation at MIDAS Future Leader Summit at the University of Michigan
- 13. One paper accepted in GIScience 2023
- 14. Oral Presentation in ACM SIGSPATIAL 2022
- 15. NSF Travel Award for SIGSPATIAL 2022
- 16. Oral Presentation in COSIT 2022
- 17. One paper accepted in ACM SIGSPATIAL 2022
- 18. Received Doctoral Dissertation Fellowship 2022-2023
- 19. One paper accepted in COSIT 2022
- 20. One paper accepted in AGILE 2022
- 21. Oral Presentation in GIScience 2021 (Online)
- 22. One paper accepted at ACM Transactions in Intelligent System and Technology
- 23. Invited Presentation in University of Maryland, College Park (Online)
- 24. One paper accepted in GIScience 2021
Research Experience
- 1. Research Intern, Esri, developed a scalable Graph-based Traffic Representation and Association (GTRA) framework for maritime route optimization and designed an anomaly detection pipeline integrating Transformer models and Evidential Deep Learning.
- 2. Teaching Experience: CSCI 8715: Spatial Data Science Research (Spring 2024), CSCI 5715: Spatial Data Science (Fall 2019), CSCI 5708: Database Systems (Spring 2019), CSCI 4041: Data Structures and Algorithms (Fall 2018)
Education
- 1. Ph.D. - Computer Science, University of Minnesota, Twin Cities, Advisor: Prof. Shashi Shekhar, Time: Present
- 2. M.S. - Computer Science, University at Buffalo, Advisor: Prof. Varun Chandola, Time: 2018
Background
- Research interests include spatial data science, machine learning, uncertainty quantification, and geometric computing, with applications in maritime safety, climate modeling, and biodiversity conservation.
Miscellany
- Served as a reviewer for top AI and data science conferences such as NeurIPS, ICML, ICLR, CVPR, and SIGSPATIAL
Co-authors