Harshal Chaudhari received his B.E. degree in Electronics and Telecommunication Engineering from Pimpri Chinchwad College of Engineering, Pune University, Maharashtra, India, in 2018. He completed his M.Tech degree in Telecommunication at the National Institute of Technology Calicut, Kerala, India, in 2020. Currently, he is a research scholar in the Department of Electronics and Electrical Engineering (EEE) at the Indian Institute of Technology (IIT) Guwahati, Assam, India. His research focuses on digital holographic microscopy, quantitative phase imaging, biomedical imaging, and deep learning.

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Selected Publications All Publications »

h-index: 2   Citations: 7   ORCID  

Journals

• Elsevier OLEN'24 Harshal Chaudhari, Rishikesh Kulkarni, Pradeep Kumar Sundaravadivelu, Rajkumar P. Thummer, M.K. Bhuyan, "Dimensionality reduction technique based phase aberration compensation and spurious fringe removal in off-axis digital holographic microscopy", Optics and Lasers in Engineering, Volume 172, 2024.
• OSA Optics Letter'24 Harshal Chaudhari, Rishikesh Kulkarni, Pradeep Kumar Sundaravadivelu, Rajkumar P. Thummer, M.K. Bhuyan, "Digital hologram reconstruction algorithm based on the fractional Fourier transform in non-telecentric digital holographic microscopy", Opt. Lett. 49, 182–185, 2024.
• Elsevier JOLT'25 Harshal Chaudhari, Pradeep Kumar Sundaravadivelu, Rishikesh Kulkarni, M.K. Bhuyan, Rajkumar P. Thummer, "Cumulative learning based segmentation aided cell mixtures classification in digital holographic microscopy", Optics & Laser Technology, Volume 181, Part C, 2025.

Conferences

• SPIE Unconventional Imaging '24 Harshal Chaudhari, Rishikesh Kulkarni, M. K. Bhuyan, Pradeep K. Sundaravadivelu, Rajkumar Thummer, "Machine-learning-based classification of co-cultured cells from the phase images in digital holographic microscopy", Proc. SPIE 12996, Unconventional Optical Imaging IV, 129960H, June 2024.
• OPTOIN'24 Harshal Chaudhari, Rishikesh Kulkarni, M. K. Bhuyan, "Numerical Reconstruction Algorithm based on Fractional Fourier Transform and Particle Swarm Optimization in Non-Telecentric Digital Holographic Microscopy", OPTOIN 2024, October 2024.
• Optica DH 3D Imaging '22 H. Chaudhari, R. Kulkarni, and M. K. Bhuyan, "Weakly Supervised Learning-based Reconstruction of Planktons in Digital In-line Holography", Digital Holography and 3-D Imaging 2022, Optica Publishing Group.
• IEEE 5G World Forum '20 H. R. Chaudhari, C. P. Najlah and S. M. Sameer, "A ResNet Based End-to-End Wireless Communication System under Rayleigh Fading and Bursty Noise Channels", 2020 IEEE 3rd 5G World Forum (5GWF), Bangalore, India, pp. 53–58, 2020.

Under Review / Accepted

• Applied Optics Harshal Chaudhari, Arnab Das, Harsh Singh, Anik Ghosh, Rishikesh Kulkarni, M. K. Bhuyan, Rajkumar P. Thummer, "Lateral shearing common path digital holographic microscopy with iteration reconstruction".
• IEEE Transactions on Instrumentation and Measurement Harshal Chaudhari, Harsh Singh, Rishikesh Kulkarni, M. K. Bhuyan, Rajkumar P. Thummer, "Deep Learning-Enhanced Holographic Flow Cytometry: Real-Time Cell Detection and Autofocusing for High-Throughput Imaging".
• SPIE Optical Metrology '25 Harshal Chaudhari, Arnab Das, Harsh Singh, Anik Ghosh, Rishikesh Kulkarni, M. K. Bhuyan, Rajkumar P. Thummer, "Common path off-axis digital holographic flow cytometry based on lateral shearing using beam splitter". (Accepted)
• SPIE Optical Metrology '25 Harshal Chaudhari, Rishikesh Kulkarni, M. K. Bhuyan, "Label-Free Cell Death Assessment using Digital Holographic Microscopy by Integrating CNNs and Vision Transformers". (Accepted)

Education

• Doctor of Philosophy (PhD) Signal Processing and Machine Learning (EEE), Indian Institute of Technology Guwahati, Assam, (2020-present).
• Master of Technology (M.Tech) Telecommunication (ECE), National Institute of Technology Calicut, Kerala, India, (2018-2020).
• Bachelor of Engineering (BE) Electronics and Telecommunication Engineering (ENTC), Pimpri Chinchwad College of Engineering, Pune, Maharashtra, (2014-2018).

Skills

• Programming Languages Python, Matlab, C++.
• Tools & Technologies OpenCV, TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook, Anaconda, Git, Docker, Pycharm, Visual Studio Code, Spyder, Sublime Text, Notepad++, MS Office.
• Web Technologies HTML, CSS, JavaScript.
• Operating Systems Windows, Linux.
• Classification Models VGG16, ResNet, Inception, DenseNet.
• Object Detection Models YOLOv3, RetinaNet, DETR, Vision Transformers.
• Image Segmentation Models UNET, Attention UNET, DeepLabv3, Cellpose, StarDist, FCN.

Courses More »

• Linear Algebra
• Probability & Random Processes
• Machine Learning
• Image Processing
• Computer Vision

Professional Service

Journal Reviewer

• Optics and Laser in Engineering
• Optica Letters
• Applied Optics
• Optics Continuum

Random Links

• Github I support open-source code development.

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