Mina Konakovic Lukovic
Assistant Professor
Studies computer graphics, computational design and fabrication, 3D geometry processing, and machine learning, including data-efficient AI for discovery.
Mina Konakovic Lukovic's lab at MIT works on geometry processing & modeling, rendering & appearance and efficient training & inference. 11 papers since 2023, 5 at top venues, mostly SIGGRAPH Asia and SIGGRAPH. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 45%
- PhD students
- 0
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 1 · collecting
- 6 papers2025 · T1 4
- 1 papers2024 · T1 0
- 1 papers2023 · T1 0
T1 venuesOtherVenues: SIGGRAPH Asia, SIGGRAPH
Research focuspaper titles that use each topic's words
- Efficient training & inference4 papers
- data-efficient2 papers
- Geometry processing & modeling0 papers
- Rendering & appearance0 papers
- computational design0 papers
Paper list
From the lab homepage.
20263 papers
- Nature BiotechnologyAccelerated discovery of thermostable mRNA-lipid nanoparticle vaccines using data-efficient AI
- SIGGRAPH Asia (T1)Learned Localized Mesh Refinement
- ACM Transactions on Graphics (Proceedings of SIGGRAPH)Walk on Decomposed Subdomains: A Hybrid Monte Carlo-Deterministic Solver for Elliptic PDEs
20256 papers
- SIGGRAPH (T1)Data-Efficient Discovery of Hyperelastic TPMS Metamaterials with Extreme Energy Dissipation
- SIGGRAPH Asia (T1)Discovering Folding Lines for Surface Compression
- SIGGRAPH Asia (T1)Low-Rank Adaptation of Neural Fields
- ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia)One String to Pull Them All: Fast Assembly of Curved Structures from Flat Auxetic Linkages
- SIGGRAPH Asia (T1)PhysiOpt: Physics-Driven Shape Optimization for 3D Generative Models
- Neural Information Processing Systems (NeurIPS) ScaleOPT: GPU-Accelerated and Scalable Optimization WorkshopZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization
20241 paper
- International Conference on Machine Learning (ICML)Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints
20231 paper
- Neural Information Processing Systems (NeurIPS) RealML WorkshopAutODEx: Automated Optimal Design of Experiments Platform with Data- and Time-Efficient Multi-Objective Optimization
Where alumni went
Alumni are not listed on the lab homepage.
Apply to MITFall 2027
MIT EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- USD 90
Confirmed on the program page.
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Your notes
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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