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1 | 1 | <table> |
2 | 2 | <tr> |
3 | 3 | <th></th> |
4 | | - <th><b>Sunday 31</b></th> |
5 | | - <th><b>Monday 1 (JuMP)</b></th> |
6 | | - <th><b> Monday 1 (HiGHS)</b></th> |
| 4 | + <th><b>Sunday 31 (Prestonfield)</b></th> |
| 5 | + <th><b>Monday 1 (Prestonfield)</b></th> |
| 6 | + <th><b> Monday 1 (Holyrood)</b></th> |
7 | 7 | </tr> |
8 | 8 | <tr> |
9 | 9 | <td class="talk-table">08:30 </td> |
|
20 | 20 | <tr> |
21 | 21 | <td class="talk-table">09:15 </td> |
22 | 22 | <td class="talk-table"><div class="talk-title">Calculating carbon intensity signals on the power grid</div><div class="talk-speaker">Noah Rhodes</div></td> |
23 | | - <td class="talk-table"><div class="talk-title">DiffOpt: Now Nonlinear and Streamlined</div><div class="talk-speaker">Joaquim Dias Garcia</div></td> |
| 23 | + <td class="talk-table talk-organization"></td> |
24 | 24 | <td class="talk-table talk-organization"></td> |
25 | 25 | </tr> |
26 | 26 | <tr> |
27 | 27 | <td class="talk-table">09:30 </td> |
28 | 28 | <td class="talk-table"><div class="talk-title">Optimal Planning for Steel Industry Decarbonization: A Mixed-Integer Linear Programming Approach in Julia</div><div class="talk-speaker">Vinícius Justen Pinto</div></td> |
29 | | - <td class="talk-table"></td> |
| 29 | + <td class="talk-table"><div class="talk-title">DiffOpt: Now Nonlinear and Streamlined</div><div class="talk-speaker">Joaquim Dias Garcia</div></td> |
30 | 30 | <td class="talk-table"><div class="talk-title">What's new in HiGHS</div><div class="talk-speaker">Julian Hall</div></td> |
31 | 31 | </tr> |
32 | 32 | <tr> |
33 | 33 | <td class="talk-table">09:45 </td> |
34 | 34 | <td class="talk-table"><div class="talk-title">Optimize Your Fleet with Odoo and JuMP</div><div class="talk-speaker">Benoît Legat</div></td> |
35 | | - <td class="talk-table"><div class="talk-title">DisjunctiveProgramming.jl’s New Suite of Solution Methods</div><div class="talk-speaker">Daniel Nguyen</div></td> |
| 35 | + <td class="talk-table"></td> |
36 | 36 | <td class="talk-table"></td> |
37 | 37 | </tr> |
38 | 38 | <tr> |
39 | 39 | <td class="talk-table">10:00 </td> |
40 | 40 | <td class="talk-table"><div class="talk-title">DuckDB as backend to build optimization models in JuMP.jl</div><div class="talk-speaker">Abel Siqueira</div></td> |
41 | | - <td class="talk-table"><div class="talk-title">DisjunctiveNet.jl: Neural Symbolic Learning via Differentiable Convexified Optimization Layers</div><div class="talk-speaker">Can Li</div></td> |
| 41 | + <td class="talk-table"><div class="talk-title">DisjunctiveProgramming.jl’s New Suite of Solution Methods</div><div class="talk-speaker">Daniel Nguyen</div></td> |
42 | 42 | <td class="talk-table"><div class="talk-title">HiPDLP: A PDLP solver for HiGHS</div><div class="talk-speaker">Yanyu Zhou</div></td> |
43 | 43 | </tr> |
44 | 44 | <tr> |
45 | 45 | <td class="talk-table">10:15 </td> |
46 | 46 | <td class="talk-table"><div class="talk-title">Batched optimization solvers: a tour d'horizon</div><div class="talk-speaker">François Pacaud</div></td> |
47 | | - <td class="talk-table"><div class="talk-title">Advanced Model Composition in ApplicationDrivenLearning.jl</div><div class="talk-speaker">Giovanni Amorim</div></td> |
| 47 | + <td class="talk-table"><div class="talk-title">DisjunctiveNet.jl: Neural Symbolic Learning via Differentiable Convexified Optimization Layers</div><div class="talk-speaker">Can Li</div></td> |
48 | 48 | <td class="talk-table"></td> |
49 | 49 | </tr> |
50 | 50 | <tr> |
|
75 | 75 | <td class="talk-table">11:30 </td> |
76 | 76 | <td class="talk-table"><div class="talk-title">MathProgIncidence.jl: Graph theoretical tools for inspecting and debugging optimization problems</div><div class="talk-speaker">Robert Parker</div></td> |
77 | 77 | <td class="talk-table"><div class="talk-title">Optimization Problem Surrogates with Graph Transformer Networks and integration within simulation workflows</div><div class="talk-speaker">Jose Daniel Lara</div></td> |
78 | | - <td class="talk-table talk-break"></td> |
| 78 | + <td class="talk-table"><div class="talk-title">Prescriptive Analytics ought to be in the database</div><div class="talk-speaker">Soren Little</div></td> |
79 | 79 | </tr> |
80 | 80 | <tr> |
81 | 81 | <td class="talk-table">11:45 </td> |
82 | 82 | <td class="talk-table"></td> |
83 | 83 | <td class="talk-table"></td> |
84 | | - <td class="talk-table talk-break"></td> |
| 84 | + <td class="talk-table"></td> |
85 | 85 | </tr> |
86 | 86 | <tr> |
87 | 87 | <td class="talk-table">12:00 </td> |
|
105 | 105 | <td class="talk-table">14:00 </td> |
106 | 106 | <td class="talk-table"><div class="talk-title">Antipode JuMPing - How Norwegian authorities can use JADE.jl for better decision making</div><div class="talk-speaker">Jarand Hole</div></td> |
107 | 107 | <td class="talk-table"><div class="talk-title">Second-Order GPU solver for Burer-Monteiro</div><div class="talk-speaker">Benoît Legat</div></td> |
108 | | - <td class="talk-table"><div class="talk-title">Open Energy Benchmark: 2025 results, HiPO performance, and call for benchmarks</div><div class="talk-speaker">Siddharth Krishna</div></td> |
| 108 | + <td class="talk-table"><div class="talk-title">Open Energy Benchmark: 2025 results, HiPO performance, and call for benchmarks</div><div class="talk-speaker">Daniele Lerede</div></td> |
109 | 109 | </tr> |
110 | 110 | <tr> |
111 | 111 | <td class="talk-table">14:15 </td> |
|
121 | 121 | </tr> |
122 | 122 | <tr> |
123 | 123 | <td class="talk-table">14:45 </td> |
124 | | - <td class="talk-table"><div class="talk-title">Decentralized Network Expansion Planning Under Uncertainty Using a Nested Dual Decomposition Technique</div><div class="talk-speaker">Alireza Shefaei</div></td> |
| 124 | + <td class="talk-table"><div class="talk-title">Advanced Model Composition in ApplicationDrivenLearning.jl</div><div class="talk-speaker">Giovanni Amorim</div></td> |
125 | 125 | <td class="talk-table"><div class="talk-title">TenSolver.jl: A tensor network based QUBO solver with JuMP integration</div><div class="talk-speaker">Iago Leal de Freitas</div></td> |
126 | 126 | <td class="talk-table"></td> |
127 | 127 | </tr> |
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