Hello, this is Sharif Amit Kamran,
a Computer Vision enthusiast whose expertise lies in the intersection of Computer Vision, Deep Learning and Medical Image Processing.
I'm one of the Co-Founder of Bengali.AI, an entity working to bring revolting changes and dynamics by hosting competition and workshops popularizing Artificial Intelligence and Machine Learning to the masses. Currently, I'm pursuing PhD in CSE at University of Nevada, Reno. Apart from that, I'm appointed as a Graduate Research Assistant at UNR Computer Vision Labrotory.
Most of my research involves Supervised and Unsupervised algorithms for Image Classification, Semantic Segmentation, etc. Quite recently, I have been working on improving robustness, image synthesis, and image denoising using GAN on different modalities of Ophthalmological and Calcium imaging data.
Apart from doing research on deep learning, I have a strong inclination towards doing music, especially playing guitar. Moreover, I have been playing live concerts and producing music since 2010 and have released a handful of albums. My other interests include travelling exotic places and taking part in e-sports competitions.
October 10, 2020. One paper accepted to ICPR 2020.
September 21, 2020. One paper accepted to ISVC.
July 15, 2020. Completed reviewing papers for BMVC2020.
June 12, 2020. One paper accepted to Cell Calcium.
May 15, 2020. One paper accepted to ICIP 2020.
April 26, 2020. Book chapter accepted to Deep Learning Applications, Volume 2
Retinal Image Synthesis from Fundus to Fluroscein Angiography
Retinal Disease Diagnosis from Optical Coherence Tomography
Calcium Transient Spatio-Temporal Map Segmentation
Improving Robustness for Optical Coherence Tomography
Traffic Sign Recognition
S. A. Kamran, K. Fariha Hossain, A. Tavakkoli and S. Lee Zuckerbrod, “Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks,” 2020 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, 2020, IEEE. [Pre-Print]
S. A. Kamran, K. Fariha Hossain, A. Tavakkoli, S. Lee Zuckerbrod, S. A. Baker and K. M. Sanders, “Fundus2Angio: A Novel Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography,” 15th International Symposium on Visual Computing 2020, Springer, Cham. [Pre-Print]
W. A.Leigh, G. Del Valle, S. Amit KamranB. T. DrummA. Tavakkoli, K. M.Sanders and S. A. Baker, “A High Throughput Machine-Learning Driven Analysis of Ca2+ Spatio-temporal Maps,“ Cell Calcium vol. 91, pp. 102260, doi: 10.1016/j.ceca.2020.1022
S. A. Kamran, A. Tavakkoli and S. Lee Zuckerbrod, “Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images,” 2020 27th IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2020, doi: 10.1109/ICIP40778.2020.9190742
S. A. Kamran, S. Saha, A. S. Sabbir and A. Tavakkoli, “A Comprehensive Set of Novel Residual Blocks for Deep Learning Architectures for Diagnosis of Retinal Diseases from Optical Coherence Tomography Images,” Book Chapter, Deep Learning Applications vol. 2, Springer Nature, 2020, doi: 10.1007/978-981-15-6759-9.
S. A. Kamran, S. Saha, A. S. Sabbir and A. Tavakkoli, “Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images,” 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), Boca Raton, FL, USA, 2019, pp. 964-971, doi: 10.1109/ICMLA.2019.00165.
S. A. Kamran, A. I. Humayun, S. Alam, R. Mohammad Doha, M. Kumar Mandal, T. Reasat and F. Rahman. “AI Learns to Recognize Bengali Handwritten Digits: Bengali. AI Computer Vision Challenge 2018.” arXiv preprint arXiv:1810.04452 (2018).
S. Saha, S. Amit Kamran and A. Shihab Sabbir, “Total Recall: Understanding Traffic Signs Using Deep Convolutional Neural Network,” 2018 21st International Conference of Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 2018, pp. 1-6, doi: 10.1109/ICCITECHN.2018.8631925.
S. A. Kamran and A. S. Sabbir, “Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation,” 2018 International Symposium on Advanced Intelligent Informatics (SAIN), Yogyakarta, Indonesia, 2018, pp. 123-130, doi: 10.1109/SAIN.2018.8673354.
Awards And Honors
Graduate Dean's AwardAugust 2019 - July 2020
Received $10,000 in merit scholarship as part of the award.
Research GrantJuly 2018 - June 2019
A research grant of approved by the Independent University Bangladesh in conjunction with Mr. Sourajit Saha and under the supervision of Dr. Ali Shihab Sabbir for the purpose of doing research on "Semantic Segmentation".
Best Paper AwardAugust 2018
For the presented paper "Efficient yet Deep Convolutional Neural Networks For Semantic Segmentation" at The 2018 International Symposium on Advanced Intelligent Informatics (SAIN) Symposium.