Accepted Papers

The accepted papers were peer-reviewed by the SSDBM 2025 technical program committees. From the submissions the committee selected 12 full research papers and 11 short / demo papers.

Accepted Long Research Papers

Rapid Workflow Response with Data Flow Scheduling & Resource Assignment Hyungro Lee, Jesun Firoz, Lenny Guo, Meng Tang and Nathan Tallent.

Enabling Lightweight Performance Analysis of Complex Scientific Workflows with PerfFlowAspect Aliza Lisan, Tapasya Patki, Stephanie Brink, Konstantinos Parasyris, Brian Gunnarson, Giorgis Georgakoudis and Hank Childs.

Amortized Cost in Graph Reordering: Why BFS Ordering Deserves More Attention Shang-Lin Li and Tung-Wei Kuo.

The Power of Two: Simplified User Interaction for the Indistinguishability Query Lam Do, Oghap Kim, Chloe Chai and Ashwin Lall

How to Mine Potentially Popular Items? A Reverse MIPS-based Approach Daichi Amagata, Aoyama Kazuyoshi, Keito Kido and Sumio Fujita

ICEAGE: Intelligent Contextual Exploration and Answer Generation Engine for Scientific Data Discovery Chenxu Niu, Wei Zhang, Mert Side and Yong Chen

Accurate Differential Analysis using Record and Selective Replay Yuta Nakamura, Xulu Chu, Ignacio Laguna and Tanu Malik

Enriching Spatial Indexes For User-Centric And Context-Aware Points Of Interest Search Raghav Mittal, Ayaan Kakkar, Anirban Mondal, Mukesh Mohania, Ladjel Bellatreche and Yoshiharu Ishikawa

OGLe-Mine: Obstacle-infused Goal-conditioned Learning for Post-disaster Navigation in Underground Mine Abhay Goyal, Sanjay Madria and Samuel Frimpong.

DTIO: Data Stack for AI-driven Workflows Keith Bateman, Neeraj Rajesh, Jaime Cernuda, Luke Logan, Bogdan Nicolae, Franck Cappello, Xian-He Sun and Anthony Kougkas.

Accepted Short / Demo Research Papers

Jovis: A Visualization Tool for PostgreSQL Query Optimizer Yoojin Choi, Juhee Han, Kyoseung Koo and Bongki Moon

Approximate Reverse k-Ranks Queries in High Dimensions Daichi Amagata, Aoyama Kazuyoshi, Keito Kido and Sumio Fujita

Advancing HPC Performance Modeling with an Interactive, Automated and Tool-Agnostic ML-Driven Workflow Zhaobin Zhu, Chen Wang and Sarah Neuwirth

Scalable Tabular Dataset Labeling with Language Models Yaojie Hu, Ilias Fountalis, Jin Tian and Nikolaos Vasiloglou

A Virtual Laboratory for Managing Computational Experiments Eleni Adamidi, Panayiotis Deligiannis, Nikos Foutris and Thanasis Vergoulis

Abstract Visual Scientific Workflow Design using VisFlow 2.0 Kallol Naha and Hasan Jamil

OmniMesh: Addressing Findability Challenges in Distributed Biodiversity Repositories [Vision] Arnab Nandi, Wei-Lun Chao, Rongjun Qin, Carl Boettiger, Hilmar Lapp and Tanya Berger-Wolf

XIO: Toward eXplainable I/O for HPC Systems Sarah Neuwirth, Hariharan Devarajan, Chen Wang and Jay Lofstead

Potency of Latent Spaces in Inverse Quantum Dye Design Md Hasan Hafizur Rahman, Jonathan Flores, Lawrence Spear, Lan Li and Hasan Jamil

Investigating the Use of File Advisory Hints on Lustre and GPFS Louis-Marie Nicolas, Salim Mimouni, Philippe Couvée and Jalil Boukhobza

A Big Data Approach for Efficient Processing of Machine Operational Data Ben Lenard, Eric Pershey, Brian Toonen, Peter Upton and Alexander Rasin.