Arnesh Batra

EST. 2025

11:43:07 UTC

Arnesh Batra

AI Researcher

Hey, I'm Arnesh - an AI Research Engineer passionate about building intelligent and user-centric systems. I love transforming complex ideas into usable, accessible products, and my work spans self-supervised learning, LLMs, healthcare AI, and signal processing. Always excited about human–AI interaction, design thinking, and real-world impact.

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WORK

Below are some select projects! More on github

PUBLICATIONS

Throughout my research journey, I’ve contributed to multiple publications spanning diverse domains, from multimodal learning and healthcare AI to audio forensics and self-supervised learning.

2024

InterSpeech 2024

Audio Spectrogram Transformer Guided Classification and Information Retrieval For Birds

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2024

InterSpeech 2024

Audio Spectrogram Transformer Guided Classification and Information Retrieval For Birds

Click Here

2024

InterSpeech 2024

Audio Spectrogram Transformer Guided Classification and Information Retrieval For Birds

Click Here

2025

CVPR 2025 Demonstrations Track

M-SCAN: A Multistage Framework for Lumbar Spinal Canal Stenosis Grading Using Multi-View Cross Attention

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2025

CVPR 2025 Demonstrations Track

M-SCAN: A Multistage Framework for Lumbar Spinal Canal Stenosis Grading Using Multi-View Cross Attention

Click Here

2025

CVPR 2025 Demonstrations Track

M-SCAN: A Multistage Framework for Lumbar Spinal Canal Stenosis Grading Using Multi-View Cross Attention

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2025

Transactions on Machine Learning Research (TMLR)

Melody or Machine: Benchmarking and Detecting Synthetic Music via Cross-Modal Contrastive Alignment

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2025

Transactions on Machine Learning Research (TMLR)

Melody or Machine: Benchmarking and Detecting Synthetic Music via Cross-Modal Contrastive Alignment

Click Here

2025

Transactions on Machine Learning Research (TMLR)

Melody or Machine: Benchmarking and Detecting Synthetic Music via Cross-Modal Contrastive Alignment

Click Here

2025

ICMR Workshops (MAD’25)

SocialDF: Benchmark Dataset and Detection Model for Mitigating Harmful Deepfake Content on Social Media Platforms

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2025

ICMR Workshops (MAD’25)

SocialDF: Benchmark Dataset and Detection Model for Mitigating Harmful Deepfake Content on Social Media Platforms

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2025

ICMR Workshops (MAD’25)

SocialDF: Benchmark Dataset and Detection Model for Mitigating Harmful Deepfake Content on Social Media Platforms

Click Here

2025

NeurIPS 2025 AI for Music Workshop

CLAM: Safeguarding Authenticity and Addressing Implications for the Music Industry

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2025

NeurIPS 2025 AI for Music Workshop

CLAM: Safeguarding Authenticity and Addressing Implications for the Music Industry

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2025

NeurIPS 2025 AI for Music Workshop

CLAM: Safeguarding Authenticity and Addressing Implications for the Music Industry

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2025

NeurIPS 2025 UniReps Workshop

Relational Representation Learning

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2025

NeurIPS 2025 UniReps Workshop

Relational Representation Learning

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2025

NeurIPS 2025 UniReps Workshop

Relational Representation Learning

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2025

NeurIPS 2025 Workshop for Imageomics

DentalNet: Geometric Aware Multi-View Transformer for Occlusion Grade Prediction in Dental 3D Scans

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2025

NeurIPS 2025 Workshop for Imageomics

DentalNet: Geometric Aware Multi-View Transformer for Occlusion Grade Prediction in Dental 3D Scans

Click Here

2025

NeurIPS 2025 Workshop for Imageomics

DentalNet: Geometric Aware Multi-View Transformer for Occlusion Grade Prediction in Dental 3D Scans

Click Here

EXPERIENCE

Across my professional journey at multiple research labs, I’ve contributed to diverse projects from developing robust AI systems to engineering intuitive user experiences. Here’s a brief overview

2025 — NOW

Research Collaborator - Brown University

Collaborating with Professor Randall Balestriero on foundational aspects of SSL; contributions involve mathematical analysis, algorithmic design, and empirical validation.

2025 — NOW

Research Collaborator - Brown University

Collaborating with Professor Randall Balestriero on foundational aspects of SSL; contributions involve mathematical analysis, algorithmic design, and empirical validation.

2025 — NOW

Research Collaborator - Brown University

Collaborating with Professor Randall Balestriero on foundational aspects of SSL; contributions involve mathematical analysis, algorithmic design, and empirical validation.

2025 — NOW

Research Intern - SBI Lab

Working under Professor Anubha Gupta on medical image analysis across 2D and 3D modalities, with a focus on blood cell and dental imaging.

2025 — NOW

Research Intern - SBI Lab

Working under Professor Anubha Gupta on medical image analysis across 2D and 3D modalities, with a focus on blood cell and dental imaging.

2025 — NOW

Research Intern - SBI Lab

Working under Professor Anubha Gupta on medical image analysis across 2D and 3D modalities, with a focus on blood cell and dental imaging.

2025

AI Engineering Intern - Mythyaverse

Developed explainable deep learning models for ECG signal interpretation, improving interpretability and transparency in clinical decision support.

2025

AI Engineering Intern - Mythyaverse

Developed explainable deep learning models for ECG signal interpretation, improving interpretability and transparency in clinical decision support.

2025

AI Engineering Intern - Mythyaverse

Developed explainable deep learning models for ECG signal interpretation, improving interpretability and transparency in clinical decision support.

Founder - StarkVision Research

Founded and lead a research community of over 20 members, fostering independent research projects in AI/ML.Currently leading multiple projects, previous projects resulted in a CVPR 2025 Demo, NeurIPS 25 Workshop andICMR Workshop, and TMLR with student-only Authorship.

https://www.linkedin.com/company/starkvision-research

STACK

Personal

In my spare time, I enjoy listening to music and taking photos!

See more on IG

[email protected]

https://www.instagram.com/arnesh_2212/

https://github.com/arnesh2212

https://www.linkedin.com/in/arnesh-batra-9684a4211/

Academic CV

RE-DACT

FOCUS FLOW

CVision

Benkyoshi

Founder - StarkVision Research

Founder - StarkVision Research

Founded and lead a research community of over 20 members, fostering independent research projects in AI/ML.Currently leading multiple projects, previous projects resulted in a CVPR 2025 Demo, NeurIPS 25 Workshop andICMR Workshop, and TMLR with student-only Authorship.