Ankush Pratap Singh

About Me

Hi, I am Ankush Pratap. I am a Ph.D. student in Computer Science at the New York Institute of Technology, advised by Prof. Houwei Cao and Prof. Yong Liu at New York University.

My research lies at the intersection of multimodal machine learning, human-centered AI, and affective computing. I am interested in designing learning algorithms that enable AI systems to integrate information across multiple modalities, reason effectively, and generalize to complex real-world scenarios.

My current work explores Multimodal large language models (MLLMs), Multimodal Representation Learning and Reasoning, Curriculum Learning, and Emotion Understanding, with the long-term goal of building trustworthy and human-aligned intelligent systems.

News

• [Jul. 2026] My paper, SPICE: Synergy and Partial Information Based Curriculum Evolution got accepted to the 28th ACM International Conference on Multimodal Interaction (ICMI) 2026.
• [Jun. 2026] My paper, CHUCKLE - When Humans Teach AI To Learn Emotions The Easy Way got accepted to Interspeech 2026.
• [Nov. 2025] My paper, Human-Inspired Summarization: Cluster Scene Videos into Diverse Frames has been accepted to ICCVW 2025 (Oral Presentation).
• [Feb. 2025] I gave a talk at the New York Institute of Technology about bridging the gap between research and industry, highlighting how data science workflows differ between academia and industry.
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[Sept. 2024] I started my Ph.D. in Computer Science at the New York Institute of Technology under the supervision of Prof. Houwei Cao, conducting research in multimodal machine learning, human-centered AI, and affective computing.
[May. 2023] I graduated with an M.S. in Computer Engineering from New York University.
[May. 2023] I successfully defended my M.S. thesis, Segmenting Metastatic Brain Tumors Using Deep Learning, at New York University. I am grateful to my advisor, Prof. Yao Wang, and my committee members, Prof. Anna Choromanska and Prof. S. Farokh Atashzar, for their invaluable guidance and support.

Publications

Preprints

Publications

Teaching

During PhD.

During M.S.

Contact

Email: asing213@nyit.edu , ax2047@nyu.edu