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Anshul Kaushal

@anshulkaushal

Message

AI researcher passionate about advancing multimodal learning technologies.

India

Message

What I'm looking for

I am seeking a dynamic role in AI research or machine learning, where I can contribute to innovative projects and collaborate with like-minded professionals, fostering a culture of continuous learning and growth.

I am an AI researcher currently pursuing my Bachelor of Engineering in Computer Science & Engineering at Panjab University. My academic journey has been marked by a strong focus on enhancing vision capabilities in multimodal large language models, guided by esteemed mentors in the field. I have been fortunate to contribute to significant research projects, including my role as an ACM IKDD Scholar at the Indian Institute of Technology Jodhpur.

My research experience spans various prestigious institutions, including the National Astronomical Observatory in Japan, where I successfully reconstructed sparse Gamma-Ray Burst data using advanced methodologies like Conditional Generative Adversarial Networks. I have also worked on medical imaging and EEG signal processing, where I optimized model performance and achieved notable accuracy improvements. My publications reflect my commitment to pushing the boundaries of AI research, with works accepted in high-impact journals.

Experience

Work history, roles, and key accomplishments

Current

ACM IKDD Scholar

Current

Indian Institute of Technology Jodhpur

May 2025 - Present (2 months)

Working on methodologies to improve vision capabilities of Multimodal LLMs. This role focuses on advancing the state-of-the-art in AI research.

AI Research Vision Capabilities Deep Learning Natural Language Processing

Current

Core Team Member

Current

Training and Placement Cell

Oct 2023 - Present (1 year 9 months)

Collaborated with a team of 15+ to organize over 10+ workshops and events on topics including machine learning and AI. Impacted 200+ students across the institute through these initiatives.

Team Collaboration Machine Learning Artificial Intelligence Leadership

Research Intern: Data Reconstruction

National Astronomical Observatory Japan

Nov 2024 - Present (8 months)

Successfully reconstructed sparse Gamma-Ray Burst (GRB) data across four categories: Good, Break, Flares, and Break with Flares. Achieved a reduction in uncertainty by 33% for logT and logF, and 38% for the "alpha" parameter compared to prior studies.

Conditional Generative Adversarial Networks Mamba State Space Models Polynomial Fitting Data Reconstruction Python

Research Intern: Medical Imaging

IISER Bhopal

Jun 2024 - Present (1 year 1 month)

Gained insights into Vision-Mamba state-space model for a comprehensive multi-domain medical imaging dataset. Enhanced conventional CNN-Transformer-based image segmentation models by implementing adaptive, advanced learnable fuzzy modules.

Vision Mamba Medical Imaging CNN Transformer Segmentation Deep Learning PyTorch

Research Intern: EEG Signal Processing

IIIT Allahabad

Mar 2024 - Present (1 year 4 months)

Conducted intra-subject classification of 24 distinct emotions using high-density EEG data. Optimized model performance through genetic algorithm-based hyperparameter tuning, achieving a 4% improvement in both accuracy and F1-score.

EEG Signal Processing Genetic Algorithms Hyperparameter Tuning Explainable AI Emotion Recognition Python