Research Assistant, Dept. of Computer Science, Stony Brook University, New York
Research Area - Computer Vision, Deep Learning.
Application Field - Histopathology Images, Multiplex IHC Images.
Vision Specialties - Segmentation, Spatial Context Analysis, Generative Adversarial Networks, Multimodal Image Analysis.
Medical Image Specialties - Tumor Microenvironment Statistics, Biomarker Spatial Relationship Analysis.
email: mahmudulhasanshauqi@gmail.com, mahmudul.hasan@stonybrook.edu
Google Scholar, LinkedIn, GitHub, Twitter
My professional resume can be found here.
Bio:
Mr. Hasan completed his B.Sc. degree in computer science and engineering at Khulna University of Engineering & Technology (KUET), Khulna-9203, Bangladesh in 2018. Currently, Mr. Hasan is admitted for Ph.D. degree in computer science at Stony Brook University, Stony Brook, New York – 11790, USA.
He was a lecturer at Khulna University of Engineering & Technology (KUET) from 2018-2020. Currently, he is a research assistant at Stony Brook University. His current research interest lies on Computer Vision, Deep Learning, Medical Image and Digital Pathology. He is currently working in CVLab@Stonybrook under the supervision of Prof. Dimitris Samaras and co-supervision of Prof. Joel Saltz. His undergrad supervisor was Prof. Dr. M.M.A. Hashem.
Education and Honors:
Graduate - Stony Brook University, New York. Year: 2020 - Present
Undergraduate - Khulna University of Engineering & Technology. Year: 2013 - 2018
Technical Skills:
Language - Python, Java, C, C++
Data-Analysis - Scikit-learn, NLTK, Tensorflow, Theano, Keras, Pytorch
Data-Visualization - Matplotlib, Seaborn, Bokeh, Dash, Tensorboard
Web Programming - HTML, CSS, PHP, Ajax, Javascript, XML, Django, Flask
DBMS - Oracle 10g, MySQL, IBM DB2, DB2 Spatial Database
Version Control - Git
Operating System - Windows, Linux, Mac OS
Distributed Computing - Hadoop, PySpark
Container Management - Docker