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Avinash Bharti
PhD Research Scholar · IIT Indore

Avinash Bharti

Doctor of Philosophy · Computer Science & Engineering
Supervised by Prof. Aruna Tiwari · AgriHub CoE
Multimodal Transformers Survival Analysis Latent Disease Detection Genomic-Phenotypic Fusion Precision Agriculture
Roll No.2501101010
Joined2025
GATE AIR2434 (98.6%ile)
UGC NET99.9 Percentile
FellowshipIITI Institute
IIITH PGEEAIR 303

🌾 Research Focus

Traditional crop monitoring relies on single-modality visual cues which frequently fail to detect diseases in their latent stages. This research leverages Multimodal Transformers to fuse high-resolution imagery, genomic sequence data, hyperspectral data, and environmental sensor metadata — capturing complex temporal and spatial dependencies for both latent disease detection and survival analysis.

Research Details

Research Focus

Multimodal Transformer Architectures for Cross-Modal Fusion and Predictive Analysis in Complex Vision Systems

🎭

Multimodal Data Fusion

Fusing RGB imagery, genomic sequences, hyperspectral data, and environmental sensors using transformer-based architectures.

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Latent Disease Detection

Detecting crop diseases before visible symptoms appear using genomic markers and physiological stress indicators.

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Survival Analysis

Predicting long-term crop survival probability under environmental stressors using temporal multimodal models.

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Precision Breeding

Supporting precision breeding programmes with AI-driven early warnings for disease-prone genotypes.

Key Research Keywords

Multimodal TransformersComputer Vision Genomic-Phenotypic FusionSurvival Analysis Latent Disease DetectionHyperspectral Imaging Precision AgricultureTransfer Learning

Education

2025 – PRESENT
PhD – Computer Science & Engineering
IIT Indore · Roll No. 2501101010
2018 – 2020
M.Tech – Computer Science & Engineering
RGPV University, Bhopal
2008 – 2012
B.E. – Information Technology
RGPV University, Bhopal

Technical Skills

Programming

PythonRMATLABC / C++JavaSQL

Frameworks & Libraries

PyTorchTensorFlow

Tools & Platforms

Git / GitHubGCPDocker / KubernetesLaTeXMATLABLinux / HPC Clusters

Teaching Assistantship

📊
CS 103 Computer Programming
Instructor: Prof. Abhishek Srivastava
📚
CS 202 Automata Theory and Logic
Instructor: Dr. Sasank Mouli

Achievements

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GATE CSE 2025 – AIR 2434 (98.6 Percentile)Graduate Aptitude Test in Engineering — Computer Science & Engineering among ~200,000 candidates. Consistently qualified since 2022 (5 consecutive years), demonstrating sustained academic excellence.
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UGC NET 2023 – 99.9 Percentile (188 marks)UGC National Eligibility Test — Computer Science & Applications. Scored 188/300, qualifying among the top 6% of all candidates nationally. Also eligible for JRF selection (top 0.36% cutoff).
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IIIT Hyderabad PGEE – AIR 303Qualified for postgraduate entrance at IIIT Hyderabad.
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IITI Institute FellowshipAwarded by IIT Indore for doctoral research.

Contact

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🎓
Google ScholarAvinash Bharti

"I am a computer science researcher with a proven track record of academic excellence — ranked in the top 1.4% nationally in GATE CSE and the top 1% in UGC NET. Currently pursuing doctoral research on multimodal transformer architectures for predictive analysis in real-world vision systems, I bring strong theoretical foundations and hands-on research experience in cross-modal fusion, survival modelling, and large-scale data-driven problem solving. I am passionate about interdisciplinary collaboration and advancing research that creates meaningful, global impact."

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