Scholar
Stevo Rackovic
Google Scholar ID: SMkKH0sAAAAJ
Universidade de Lisboa
Citations & Impact
Citations
30
H-index
3
i10-index
1
Publications
12
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- December 2024: Refined Inverse Rigging published!
- August 2024: PeersimGym published!
- December 2023: Our paper received ACM Kudos!
- September 2023: Distributed Solution of the Inverse Rig Problem in Blendshape Facial Animation accepted for publication!
- May 2023: A majorization–minimization-based method for nonconvex inverse rig problems in facial animation published!
- January 2023: A hybrid compartmental model with a case study of COVID-19 in Great Britain and Israel published!
Research Experience
- The main focus of our research is applying machine learning and optimization techniques to improve the algorithms used in 3D animation. Besides the animation, we are also researching the applications of reinforcement learning algorithms and recommender systems.
Education
- Ph.D. candidate at the Instituto Superior Técnico, enrolled in an industrial Ph.D. program BIGMATH. Supervised by Cláudia Soares from NOVA Uni in Lisbon and Dušan Jakovetić from the University of Novi Sad, and collaborating with 3Lateral Studio (Epic Games Company).
Background
- A Data Scientist and Machine Learning specialist with extensive experience across academia and industry. My work spans natural language processing (NLP), large language models (LLMs), computer animation, deep reinforcement learning (DRL), and healthtech, among other domains.
Miscellany
- Personal interests and hobbies not provided
Co-authors