Naufal Suryanto
Postdoctoral Fellow at Robust Intelligent Systems Lab (RISys-Lab), Khalifa University
A highly motivated practitioner in the fields of AI, Computer Vision, Deep Learning, IoT, Robotics, Cybersecurity, and Intelligent Systems. Fast learner with excellent collaboration skills and a deep curiosity. Experienced as a first author and reviewer in CVPR & ICCV (as Outstanding Reviewer), and proficient in using Deep Learning Frameworks (i.e., TensorFlow and PyTorch). Recipient of numerous national and international awards, demonstrating excellence in related fields. Holds a track record of full-stack software and hardware development and providing technical solutions to complex problems.
My current research focuses on Robust AI System on Computer Vision and Large Language Model.
news
| Sep 24, 2026 | Our paper “KaliBench: A Fine-Grained Benchmark for Cybersecurity Tool Use on Kali Linux with Runtime-Free Verifiable Rewards” has been accepted to NeurIPS 2026! 🎉 |
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| Aug 20, 2026 | Our paper “SAFIRE: Safety-Critical Benchmark for Fine-grained Fire and Smoke Understanding in Multimodal LLMs” has been accepted to EMNLP 2026 Findings! 🎉 |
| Jun 18, 2026 | Our paper “ReasonCLIP-58M: Visually Grounded Commonsense Reasoning Supervision for CLIP” has been accepted to ECCV 2026! 🎉 I am also honored to served as the Area Chair. |
| Feb 21, 2026 | Our paper “SPARROW: Learning Spatial Precision and Temporal Referential Consistency in Pixel-Grounded Video MLLMs” has been accepted to CVPR 2026! 🎉 I am also honored to be recognized as an Outstanding Reviewer (Top 5% of 17K reviewers). |
| Jan 26, 2026 | Our paper “RedSage: A Cybersecurity Generalist LLM” has been accepted to ICLR2026! 🎉 |