Kamruzzaman, Abu

Assistant Professor

Business and Economics

Phone: 718-262-2522
Office Location: AC-2C14
Email: akamruzzaman@york.cuny.edu

Dr. Abu Kamruzzaman research interest include Cyber Security, Data Science, Machine Learning, Quantum Computing, and Cloud Computing. He taught 40+ computing courses in various CUNY campuses since 2001. Dr. Abu served in the doctoral dissertation committees for Computer Science PhD and DPS at Pace University, NY. Dr. Abu maintained 22 years of professional experiences in multiple CUNY IT building, leading, and supervising projects for Mobile applications, Enterprise applications, Web Applications, Databases, Business Intelligence, and Data Analytics both in Microsoft and Linux platforms with 500K+ active and 20M+ historic users. He has multiple conference and journal publications. Dr. Abu has presented and chaired in multiple conferences nationally and internationally. He is the recipient of multiple awards for his extra ordinary accomplishments. Dr. Abu is a frequent reviewer of the Journals and IEEE publications. He coauthored multiple books in the Cyber Security discipline.

Curriculum Vitae

Office Hours

Day	Time
Wed	1pm - By Appointment

Education

Degree	Institution	Field	Dates
PhD	Pace University	Computer Science	2018
MA	Brooklyn College/CUNY	Computer Information Systems	2005
BS	Binghamton University/ SUNY	Computer Science	2001
AAS	LaGuardia C. College/CUNY	Computer Science	1999

Areas of Expertise

Cyber Security
Artificial Intelligence
Data Science
Quantum Computing
Cloud Computing

Publications in Field Of Expertise

Books

Kutub Thakur, Sadia Ismat, Abu Kamruzzaman, and Muath Obaidat. Cybersecurity Threat Intelligence and International Security. USA: Kendall Hunt Publishing, 2023. 298.

Kutub Thakur, Abu Kamruzzaman, Al-Sakib Khan Pathan. A Deeper Perspective on the Fundamentals of Digital Communication, Security, and Privacy Protocols. USA: CRC Press, 2022. 292.

Articles

K. Thakur, ML Ali, MA Obaidat, and A. Kamruzzaman. "A Systematic Review on Deep-Learning-Based Phishing Email Detection." MDPI Electronics: Cyber-Security in Smart Cities. 12(21) 2023: .

J, C. Brickley, K. Thakur and A. Kamruzzaman. "A Comparative Analysis between Technical and Non-Technical Phishing Defences." International Journal of Cyber-Security and Digital Forensics. 10(1) 2021: .

A. Kamruzzaman and C. C. Tappert. "Developing Deep Learning Models to Simulate Human Declarative Episodic Memory Storage." International Journal of Advanced Computer Science and Applications. 10(3) 2019: .

Refereed Proceedings

A Kamruzzaman, K Thakur, S Ismat, ML Ali, K Huang, HN Thakur. "Social Engineering Incidents and Preventions." IEEE CCWC. 2023: .

ML Ali, S Ismat, K Thakur, A Kamruzzaman, Z Lue, HN Thakur. "Network Packet Sniffing and Defense." IEEE CCWC. 2023: .

HN Thakur, A Al Hayajneh, K Thakur, A Kamruzzaman, ML Ali. "A Comprehensive Review of Wireless Security Protocols and Encryption Applications." IEEE World AI IoT Congress. 2023: 0373-0379.

A. Kamruzzaman, S. Ismat, J. C. Brickley, A. Liu and K. Thakur. "A Comprehensive Review of Endpoint Security: Threats and Defenses." IEEE ICCWS. 2022: 1-7.

A. Borys, A. Kamruzzaman, H. N. Thakur and J. C. Brickley, M. L. Ali and K. Thakur. "An Evaluation of IoT DDoS Cryptojacking Malware and Mirai Botnet." IEEE AIIoT. 2022: 725-729.

H. Xu, K. Thakur, A. S. Kamruzzaman and M. L. Ali. "Applications of Cryptography in Database: A Review." IEEE IEMTRONICS. 2021: 1-6.

Y. Alhwaiti, M.Z. Chowdhury, A. Kamruzzaman and C.C. Tappert. "Analysis of a Parameter-Based Computational Model of Long-Term Declarative Episodic Memory." CSCI-ISAI. 2019: .

A. Kamruzzaman, Y. Alhwaiti and C. C. Tappert. "Developing a Deep Learning Model to Implement Rosenblatt’s Experiential Memory Brain Model." Future of Information and Communication Conference. 2019: 248-261.

A. Kamruzzaman, Y. Alhwaiti , A. Leider and C. C. Tappert. "Quantum Deep Learning Neural Networks." Future of Information and Communication Conference. 2019: 299-311.

A. Kamruzzaman, T. Brooks, K. Thakkar, A. Markale, S. Rajwade, S. Ahamed and C. C. Tappert. "A Deep Learning Model for Long-term Declarative Episodic Memory Storage." Pace CSIS Research. 2018: .

T. N. Brooks, A. Kamruzzaman, A. Leider and C. C. Tappert. "A computer science perspective on models of the mind." Intelligent Systems Conference. 2018: 759-772.

T. N. Brooks, R. Almajalid, Y. Hou and A. Kamruzzaman. "Cuttlefish: A Library For Building Elastic Distributed Neural Networks." Pace CSIS Research. 2017: .

K. Thakur, M. L. Ali, S. Kopecky, A. Kamruzzaman and L. Tao. "Connectivity, Traffic Flow and Applied Statistics in Cyber Security." IEEE SmartCloud. 2016: 295-300.

Reviews

"Packt Publishing" , . 2015:320 .

"Packt Publishing" , . 2015:316 .

Other

Presented Papers, Lectures, and Exhibitions and Performances

"Generative AI and Cybersecurity" 2023: .

"A Comprehensive Review of Endpoint Security: Threats and Defenses" 2022: .

"An Evaluation of IoT DDoS Cryptojacking Malware and Mirai Botnet" 2022: .

"Developing a Deep Learning Model to Implement Rosenblatt’s Experiential Memory Brain Model" 2019: .

"A Computer Science Perspective on Models of the Mind" 2018: .

"A Deep Learning Model for Long-term Declarative Episodic Memory Storage" 2018: .

"Cuttlefish: A Library for Building Elastic Distributed Neural Networks" 2017: .

"Connectivity Traffic Flow and Applied Statistics in Cyber Security" 2016: .

Professional Honors, Prizes, Fellowships

Member of Professional Society - New York State Engineering Technology Association (NYSETA): 2022 to present.

CUNYsmart – CUNY Excellence in Technology Collaboration Award: 2018.

CUNYfirst MyInfo - CUNY CIS Excellence in Service Team Award: 2015.

National Dean's List: 1998 & 1999.

Honors for Academia from Student Affairs -LaGuardia C.C./CUNY: 1998 & 1999.

Best SAC Award - LaGuardia C.C./CUNY: 1998.

Leadership Award - LaGuardia C.C./CUNY: 1998.

Offices Held In Professional Societies

Vice President of the LaGuardia chapter of Phi Theta Kappa C.C./CUNY: 1998 to 1999.

Other Professional Activities and Public Service

Participated U.S. Dept. of Educ. - The Fund for the Improvement of Postsecondary Educ. (FIPSE): Jan, 2024.

Participated NSF workshop Improving Undergraduate STEM Education (IUSE): Dec, 2023.

Reviewer for Journal of Cyber Security Technology: 2022 to Present.

Participated in Alchemy's Transform Asynchronous Online Courses with AI workshop: Sept, 2023.

Session Chair, Pace CSIS Research: 2017.