Kazi Aminul Islam
Introduction
Hello, I am an Assistant Professor in the Department of Computer Science at Kennesaw State University.
I completed my Ph.D. in Electrical and Computer Engineering at Old Dominion University, My PhD dissertation was "Deep Learning Approaches for Seagrass Detection in Multispectral Imagery". Seagrasses maintain a healthy coastal ecosystem and can slow global warming. We developed a deep learning-based seagrass detection tool that can effectively detect and quantify seagrass all over the world. I also developed several deep learning-based systems for NASA, DARPA, and US-Navy-funded projects. I was a Research Assistant Professor at the School of Cybersecurity of Old Dominion University between 2021 to 2022.
In my free time, I like music, watching movies, traveling, reading books, etc.
Thank you for visiting my site. Please check my lab page for more information: https://sites.google.com/view/astai
Contact:
Email: kislam4 at kennesaw.edu
Notice:
Looking for passionate Graduate/undergraduate Students to join my lab from. For more information, please email me at kislam4 at kennesaw dot edu.
My current research is focused in following two areas:
AI Security & Privacy in Remote Sensing
Development of Transfer learning Algorithms
Lab Page:
Adaptable, Secured and Trustable AI Lab
Research Interest
Machine Learning & Deep Learning
Transfer Learning
AI Security & Privacy in Remote Sensing
Image Processing
Deep Learning-Based Seagrass Detection
Classification of seagrass in high-resolution multi-spectral satellite images usin Deep Convolutional Neural Network and Deep Capsule Network [PDF]
Transfer Learning: Domain Adaptation
To generalize trained Deep Convolutional Neural Network model to new location, we utilize a semi supervised domain adaptation (DA) approach.[PDF]
Deep Coast: Seagrass Quantification using Capsule Network
Deep capsule network is developed for simultaneous classification and quantification of seagrass based on the multi-spectral images [PDF]
Biomedical Disease Detection: FEMH Voice Data Challenge
Transfer Learning Approach for identifying neoplasm, vocal palsy, and phono-trauma diseases from normal using speech signal.[PDF]
PTSD Diagnosis: Transfer Learning in Speech Signal
A transfer learning (TL) strategy for post-traumatic stress disorder (PTSD) diagnosis by analyzing speech signals.[PDF]
Educational Background
Old Dominion University, Norfolk, VA, USA
Degree: Ph.D. in Electrical and Computer Engineering
Dissertation: Deep Learning Approaches for Seagrass Detection in Multispectral Imagery
Adviser: Dr. Jiang Li
Lamar University, Beaumont, TX, USA
Degree: Masters in Engineering Science in Electrical Engineering
Khulna University of Engineering and Technology, Khulna, Bangladesh
Degree: Bachelor in Science in Electrical and Electronic Engineering
Research Grant
Funding Agency: Commonwealth Cyber Initiative (CCI)
Project Title: Algorithm Evaluation for Backdoor Detection and Mitigation in Remote Sensing Systems
Role: CO-PI
Period of Performance: 07/01/2022-06/30/2023b
Funding amount: 50, 000
Publications
Recent Publications are available in Google Scholar Profile [Link]
JOURNALS
[8]MR First, SC Riley, KA Islam,V. Hill, J Li, RC Zimmerman, and LA Drake ”Rapid Quantification of Biofouling with an Inexpensive, Underwater Camera and Image Analysis”, Management of Biological Invasions, 12 (2021)
[7] Islam, Kazi Aminul, Mohammad Shahab Uddin, Chiman Kwan, and Jiang Li. "Flood Detection Using Multi-Modal and Multi-Temporal Images: A Comparative Study." Remote Sensing 12, no. 15 (2020): 2455.
[6] Islam, Kazi Aminul, Victoria Hill, Blake Schaeffer, Richard Zimmerman, and Jiang Li. "Semi‑supervised Adversarial Domain Adaptation for Seagrass Detection Using Multispectral Images in Coastal Areas." Data Sci. Eng. 5, 111–125 (2020).
[5] MM Coffer, BA Schaeffer, RC Zimmerman, V Hill, J Li, KA Islam, and PJ Whitman. ”Performance across WorldView-2 and RapidEye for reproducible seagrass mapping.” Remote Sensing of Environment 250 (2020): 112036. (IF 9.085)
[4]Perez, Daniel, Kazi Islam, Victoria Hill, Richard Zimmerman, Blake Schaeffer, Yuzhong Shen, and Jiang Li. "Quantifying Seagrass Distribution in Coastal Water with Deep Learning Models." Remote Sensing 12, no. 10 (2020): 1581.
[3] Oguslu, E., Kazi Islam, Daniel Perez, V. J. Hill, W. P. Bissett, R. C. Zimmerman, and J. Li. "Detection of seagrass scars using sparse coding and morphological filter." Remote Sensing of Environment 213 (2018): 92-103.
[2] Debrup Banerjee, Kazi Islam, Keyi Xue, Gang Mei, Lemin Xiao, Guangfan Zhang, Roger Xu,Shuiwang Ji, Jiang Li, ”A Deep Transfer Learning Approach for Improved Post-Traumatic Stress Disorder Diagnosis” Knowledge and Information Systems 2019
[1] Kazi Aminul Islam, Gleb V. Tcheslavski, ”On Use of Independent Component Analysis for Ocular Artifacts Reduction of Electroencephalogram and while Using Kurtosis as the Threshold” September30, 2017 International journal of Bio-Automation, vol. 21, issue. 3, pp. 251–260, Sep 2017.
CONFERENCES
[8]. KA Islam, V Hill, R Zimmerman, B Schaeffer, J Li , ”Semi-supervised Adversarial Domain Adaptation for Seagrass Detection in Multispectral Images” IEEE International Conference on Data Mining, 2019 Beijing China (acceptance rate: 18.5%)
[7]. R Burks, KA Islam , Y Lu, J Li, ”Data Augmentation with Generative Models for Improved Malware Detection: A Comparative Study” In IEEE Ubiquitous Computing, Electronics Mobile Communication Conference(UEMCON) 2019, New York
[6] Kazi Aminul Islam, Daniel Perez, and Jiang Li. "A Transfer Learning Approach for the 2018 FEMH Voice Data Challenge"IEEE International Conference on Big Data (Big Data), (2018).(Outstanding Paper Award)
[5] Kazi Aminul Islam, Daniel Perez, Blake Schaeffer, Richard Zimmerman, Victoria Hill and Jiang Li. , ” Seagrass Detection in Coastal Water through Deep Capsule Networks” The First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018. LNCS, vol. 11257, pp. xx–yy. Springer, Hei- AQ3 delberg (2018)
[4] Daniel Perez, Kazi Aminul Islam, Blake Schaeffer, Richard Zimmerman, Victoria Hill and Jiang Li , ” DeepCoast: Quantifying Seagrass Distribution in Coastal Water through Deep Capsule Networks” The First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018. LNCS, vol. 11257, pp. xx–yy. Springer, Hei- AQ3 delberg (2018) (acceptance rate: 5%)
[3] Md Reshad ul Hoque, Kazi Aminul Islam, Daniel Perez, Blake Schaeffer, Richard Zimmerman, Victoria Hill and Jiang Li , ”Seagrass Propeller Scar Detection using Deep Convolutional Neural Network” IEEE UEMCON Accepted (2018)
[2] Debrup Banerjee, Kazi Islam, Gang Mei, Lemin Xiao, Guangfan Zhang, Roger, Xu,Shuiwang Ji, Jiang Li, ” Deep Transfer Learning Approach for Improved, Post-Traumatic Stress Disorder Diagnosis” Accepted ICDM 2017 IEEE International Conference on Data Mining, New Orleans, Lousiana, USA, Nov 2017. (acceptance rate: 9%)
[1] Kazi Aminul Islam, Gleb V. Tcheslavski, Independent Component Analysis for EOG artifacts minimization of EEG signals using kurtosis as a threshold, .2015 2nd International Conference on Electrical Information and Communication Technologies (EICT), Khulna, Bangladesh D
Teaching (Instructor)
Kennesaw State University
CS 7265: Big Data Analytics
CS 6045: Advanced Algorithms
CS 5040: Data Structure and Algorithms
Old Dominion University
CYSE 601 Advanced Cybersecurity Techniques and Operations, SP 22
CYSE 635 AI Security and Privacy, FA 22
CYSE 420/520 Applied machine learning in cybersecurity, FA21, FA22
Mentoring
Masters Student
Zemin Chen ( GRA, Masters in Cybersecurity)
Yao Wang (Masters in Cybersecurity)
Undergraduate Students
Roland Burks III (co-advised NSF REU student)
COVA CCI Undergraduate Project
Kathy Wang, William & Mary, Project: Mitigation of Algorithmic Bias to Improve AI Fairness
Marlowe Cosby Jr., Old Dominion University, Project: How Secure Are Android and Apple’s Operating Systems and Based Applications Against Cyber Attacks and Cyber Crime
Torré A. Williams, Old Dominion University Project: Analytical Approach to Biometric Security and How It Affects Privacy
High School Students
Emily Wu (co-advised)
Omar Abul Hassan (co-advised)
Awards and Achievements
ODU ECE 2019-2020 Graduate Teaching Assistant Award 2020
IEEE international BigData conference: FEMH voice data challenge workshop’s Outstanding paper award 2018
BCET and ODU Graduate Student Travel Award 2018
IEEE student travel grant on EICT 2015 conference 2015
Bangladesh-Sweden Trust Fund: Travel scholarship for higher studies 2014
Technical merit scholarship: Khulna University of Engineering Technology 2006 –2009
District Stipend award:Due to outstanding result in Higher Secondary Examination. 2006
Skills
Deep learning Framework :
Pytorch, Tensorflow, SciKit Learn
Programming :
Python, Matlab, C,
Languages :
Bengali: Native language, English: fluent in speaking, writing and listening
Challenge & Competition
BigData Cup Challenge: 2018 FEMH Voice Data Challenge
Team Leader, Mida Lab
Among the top 10 teams out of 109 teams from 27 countries in the competition.
Detected pathological voices from normal and classified them into three disordered categories from acoustic wave-forms
Professional Service
• Journal Reviewer: Neurocomputing, Remote Sensing of Environment, Remote Sensing, Computers and Electronics, in Agriculture, Scientific Reports-Nature, Engineering Applications of Artificial Intelligence, IEEE Transactions on Mobile Computing, Expert Systems With Applications, Transactions on Computers
• Conference Reviewer: IJCNN, ICCA, IEEE WCCI, IEEE INFOCOM
• COVA CCI Cybersecurity Research and Innovation Funding, 2021
• MIT sea grant, 2022
• Designed the 2022 COVA CCI Cybersecurity conference (CybER-Con)