Mukhtiar Ali

Brookings, SD

Mukhtiar.Ali [at] jacks.sdstate.edu

I am a final-year PhD candidate in Computer Science at South Dakota State University, graduating December 2026, advised by Dr. Chulwoo Pack in the Multimodal Intelligence (MINT) Lab.

My research is on multimodal learning, vision–language models, and wearable biosignal analysis — currently long-form video understanding and evaluation, uncertainty-aware multimodal fusion, and lightweight architectures for on-device stress and affect recognition. Two first-author workshop papers at CVPR 2026 (MULA) and ACM SIGIR 2026 (EvalMG), a journal paper under review at Knowledge-Based Systems, and a long-form video benchmark in preparation for CVPR 2027.

I’m open to industry research and academic faculty positions for 2026–2027. My full record is in my CV.

Before the PhD I earned a B.S. in Software Engineering from the University of Azad Jammu & Kashmir (2018) and cofounded iRent, an early-stage real-estate rental platform that won the 2019 KP Impact Challenge startup competition organized by the Government of Khyber Pakhtunkhwa and Lahore University of Management Sciences.

news

Jul 24, 2026	Presented CLIP-CC-Bench at EvalMG @ ACM SIGIR 2026, Melbourne.
Jun 03, 2026	CLIP-CC-Bench accepted as a long paper at EvalMG @ ACM SIGIR 2026, Melbourne — a benchmark for paragraph-level video-description evaluation in video–language models. [arXiv] [code] [data]
Jun 02, 2026	Presented MuSDeT at the MULA Workshop, CVPR 2026, Denver.
Mar 15, 2026	MuSDeT accepted at the MULA Workshop, CVPR 2026 — a lightweight multi-scale architecture for wearable stress detection. [pdf] [code]

selected publications

CVPR W

Multi-Scale Encoding, Gated Fusion, and Temporal Context for Lightweight Wearable Stress Detection

Mukhtiar Ali and Chulwoo Pack

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2026

Bib HTML PDF Code Poster

@inproceedings{ali2026musdet,
  title = {Multi-Scale Encoding, Gated Fusion, and Temporal Context for Lightweight Wearable Stress Detection},
  author = {Ali, Mukhtiar and Pack, Chulwoo},
  year = {2026},
  month = jun,
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
  pages = {7454--7462},
}

EvalMG

CLIP-CC-Bench: Evaluating Paragraph-Level Video Descriptions in Video–Language Models

Mukhtiar Ali, Harsh Dubey, Sugam Mishra, and 1 more author

In Proceedings of the 2nd Workshop on Evaluation for Multimodal Generation (EvalMG @ ACM SIGIR). Dataset: CLIP-CC / HF , Jul 2026

Long paper; presented at EvalMG 2026, Melbourne. Mukhtiar Ali, Harsh Dubey, and Sugam Mishra contributed equally

arXiv Bib Code Website

@inproceedings{ali2026clipccbench,
  title = {CLIP-CC-Bench: Evaluating Paragraph-Level Video Descriptions in Video--Language Models},
  author = {Ali, Mukhtiar and Dubey, Harsh and Mishra, Sugam and Pack, Chulwoo},
  year = {2026},
  month = jul,
  booktitle = {Proceedings of the 2nd Workshop on Evaluation for Multimodal Generation (EvalMG @ ACM SIGIR)},
  note = {Long paper; presented at EvalMG 2026, Melbourne. Mukhtiar Ali, Harsh Dubey, and Sugam Mishra contributed equally},
}

KBS

Trustworthy Multimodal Learning via Uncertainty-aware Feature Modulation and Reliability Auditing

Seungpil Choi, Mukhtiar Ali, Chulwoo Pack, and 1 more author

Knowledge-Based Systems (KBS), 2026

Under review

Bib

@article{choi2026multimodalfusion,
  title = {Trustworthy Multimodal Learning via Uncertainty-aware Feature Modulation and Reliability Auditing},
  author = {Choi, Seungpil and Ali, Mukhtiar and Pack, Chulwoo and Lee, Eungjoo},
  year = {2026},
  journal = {Knowledge-Based Systems (KBS)},
  note = {Under review},
}