Dhruv Makwana

Journals

1. Dhruv Makwana, and Sparsh Mittal. "PCBSegClassNet - A Light-weight Network for Segmentation and Classification of PCB Component" in Expert Systems With Applications (2022) (8.5 Impact Factor). paper
   
2. Dhruv Makwana, Subhrajit Nag, Onkar Susladkar, Gayatri Deshmukh, Sai Chandra Teja R, Sparsh Mittal, and C. Krishna Mohan. "ACLNet: an attention and clustering-based cloud segmentation network." in Remote Sensing Letters (2022) (2.3 Impact Factor) paper
   
3. Nag Subhrajit, Dhruv Makwana, Sai Chandra Teja R, Sparsh Mittal, and C. Krishna Mohan. "WaferSegClassNet-A light-weight network for classification and segmentation of semiconductor wafer defects." in Computers in Industry (2022) (10 Impact Factor) paper
   
4. Deshmukh Gayatri, Onkar Susladkar, Dhruv Makwana, and Sparsh Mittal. "FEEDNet: a feature enhanced encoder-decoder LSTM network for nuclei instance segmentation for histopathological diagnosis." in Physics in Medicine & Biology (2022) (3.5 Impact Factor) paper
   

Conferences

1. Dhruv Makwana, R. Sai Chandra Teja, R. Sri Devi, and S. Nagesh Kumar. "InRFNet: Involution Receptive Field Network for COVID-19 Diagnosis." In Journal of Physics: Conference Series (2022) paper
   
2. Susladkar Onkar, Gayatri Deshmukh, Dhruv Makwana, Sparsh Mittal, R. Sai Chandra Teja, and Rekha Singhal. "GAFNet: A Global Fourier Self Attention Based Novel Network for multi-modal downstream tasks." in 2022 IEEE Winter Conference on Applications of Computer Vision (WACV) (A Rank Conference) paper
   
3. Ananya Mantravadi, Dhruv Makwana, Sai Chandra Teja R, and Sparsh Mittal. "Dilated Involutional Pyramid Network (DInPNet): A Novel Model for Printed Circuit Board (PCB) Components Classification" in in International Symposium on Quality Electronic design (ISQED’23) paper
   
4. Susladkar Onkar, Dhruv Makwana, Gayatri Deshmukh, Sparsh Mittal, R. Sai Chandra Teja, and Rekha Singhal. "TPFNet: A Novel T ext In-p ainting Trans f ormer for Text Removal." In International Conference on Document Analysis and Recognition (ICDAR) (2023) (A Rank Conference) paper
   
5. Dhruv Makwana, Gayatri Deshmukh, Onkar Susladkar, Sparsh Mittal, and R Sai Chandra Teja. "LIVENet: A novel network for real-world low-light image denoising and enhancement." in 2023 IEEE Winter Conference on Applications of Computer Vision (WACV) (A Rank Conference)
   
6. Gayatri Deshmukh, Onkar Susladkar, Dhruv Makwana, Sparsh Mittal, and R Sai Chandra Teja. "Textual Alchemy: CoFormer for Scene Text Understanding" in 2023 IEEE Winter Conference on Applications of Computer Vision (WACV) (A Rank Conference)
   

Workshops, reports, and book chapters

1. Dhruv Makwana, R. Sai Chandra Teja, R. Sri Devi, and S. Nagesh Kumar. "Involution Receptive Field Network for COVID-19 Diagnosis." in New Trends in Physical Science Research Vol. 6 (2022): 29-37. paper
   
2. Dhruv Makwana, Kumud Lakara, Gayatri Deshmukh, Onkar Susladkar, Sai Chandra Teja R, Sri Devi R, Nagesh Kumar S, Sparsh Mittal, and Brijesh Gajjar. "DBM: A Dataset of Digital Breast Mammography Images" in Researchgate preprint. paper
   
3. Susladkar Onkar, Dhruv Makwana, Gayatri Deshmukh, Sparsh Mittal, and Rekha Singhal. "TPFNet: A Novel Text In-painting Transformer for Text Removal." in Neurips Workshop Vision Transformers: Theory and applications (2022). paper
   

Currently Working

• Explainable food recommendation using cross retrieval model and similarity loss.
• Ultra light-weight model for Parkinson's disease detection using multi-modelalities.
• All-In-One Image Restoration for any image property Corruption
• Automated assessment of Critical view of Safety from surgical videos.
• Multimodal surgical question answering from surgical videos.

Completed

• Ultra light weight model for classification of Arrhythmias from ECG signals.
• Generative Adversarial Network for Artistic Portrait Drawings from the face photos.
• Pointcloud data reconstruction using GAN and Contrastive Learning.
• Object detection for chasis number identification.
• Low Light Image ehancement using Generative Adversarial Network and Normalization flow.
• Farmer's Helper: A single place for Leaf disease classification, plant speacies classification, yield prediction, etc. (Bachelor's Final Project)

Bachelor of Engineering (BE)

Institution : LJ Institute of Engineering and Technology (Under GTU Administration)
Duration : 2016 - 2020
CGPA : 9.16/10.0

Programming Languages

• Python
• C++
• Cuda

Frameworks

• PyTorch
• Tensorflow/Keras
• ONNX
• OpenCV/dlib
• Hugging Face

Deployment Toolbox

• Azure
• Google Cloud Platform
• Amazon Web Services
• Heroku/docker
• Flask/Streamlit

Optimization Tools

• Pruning
• Quantization
• TFLite
• TensorRT
• TensorRT, Mixed Precision

TensorFlow Developer Certificate (2022)

Microsoft Certified Azure Data Scientist Associate (DP100) (2021)

Microsoft Certified Azure AI Fundamentals (AI900) (2020)