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gabriel4amaizu@gmail.com | gamaizu@towson.edu

(443) 653 - 8554

Maryland

Google Scholar

Skills

AI/ML

Research

Python / Django / Flask

Javascript / React

Web3 / Blockchain / Solidity

Web Developement

Databases (PostgreSQL/MySQL/MongoDB)

Dart / Flutter

About Me

As an adept researcher, my expertise spans AI/ML, blockchain, digital twin, and IIoT. With a strong track record in R&D and software engineering, I've contributed significantly to diverse projects, showcasing both technical prowess and a passion for innovation. My programming skills enhance my problem-solving abilities, making me adept at navigating challenges in the dynamic technological landscape.

My commitment to pushing boundaries is evident in my work, leveraging a multidisciplinary background to approach research holistically. Whether exploring AI algorithms or delving into blockchain intricacies, my enthusiasm for overcoming obstacles defines my professional journey. With a proactive approach to technology, I am poised to continue making meaningful contributions to innovation's forefront.

Facts

7+

Coding Experience

460+

Citations

6

H-index

4+ years

Research Experience

Education

January 2024 – Till Date

Ph.D. Information Technology, Towson University, U.S.A.

Research Area: Digital Twin, AI & Cyber Security.

September 2019 – 2021 August

M.Sc. IT Convergence Engineering, Kumoh National Institute of Technology, South Korea.

Thesis title: Synthesized deep learning model for cost-effective DDoS attack detection in IIoT.

Advisors: Dr. Dong-Seong Kim and Dr. Jae-Min Lee.

GPA: 3.92/4.0

2014 – 2017 June

B.Sc. Computer Applications, Bangalore University, India.

Project title: IzeeTweet - A Twitter-like application.

GPA: 7.8/10.0

Work Experience

January 2024 – Till Date

Adjunct Professor, Towson University, U.S.A.

January 2024 – Till Date

Research Assistant, Digital Twins Lab, Towson University, U.S.A.

August 2021 – 2023 December

AI Engineer / Researcher, ICT Convergence Research Center, Kumoh National Institute of Technology. Gumi, South Korea.

September 2019 -August 2021

Graduate Researcher, Network Systems Laboratory, Kumoh National Institute of Technology. Gumi, South Korea.

May 2017 – June 2018

Web Developer, Motorzo. Bangalore, India.

Selected Publications

# More
1 G.C. Amaizu, D.S. Kim "Metaverse in Advanced Manufacturing: Background, Applications, Limitations, Open Issues & Future Directions", ICT Express(2024) View
2 Love Ahakonye, G.C. Amaizu Ifeanyi Nwakanma, Jae Min Lee, Dong-Seong Kim "Classification and Characterization of Encoded Traffic in SCADA Network using Hybrid Deep Learning Scheme", Journal of Communications & Networks (2024 ) View
3 Njoku Nkechinyere, Nwakanma Cosmas, G.C. Amaizu, and Kim Dong-Seong "Prospects and challenges of Metaverse application in data-driven intelligent transportation systems" - IET Intelligent Transport Systems (2023) View
4 Sampedro Gabriel, Agron Danielle, G.C. Amaizu, Kim Dong-Seong and Lee, Jae-Min, "Design of an In-Process Quality Monitoring Strategy for FDM-Type 3D Printer Using Deep Learning" Applied Sciences (2023) View
5 G.C. Amaizu, C.I. Nwakanma and S. Bhardwaj and J.M. Lee and D.S. Kim"Composite and efficient DDoS attack detection framework for B5G networks", Computer Networks (2021) View
6 G.C. Amaizu, Love Ahakonye, J.M. Lee and D.S. Kim, "Deep Skin Cancer Lesions Classification Scheme", International Conference on Information and Communication Technology Convergence (ICTC) (2023) View
7 Judith Nkechinyere, G.C. Amaizu, Lee, Jae-Min and Kim, Dong-Seong, "Real-time Deep Learning-based Scene Recognition Model For Metaverse Applications", Korean Institutes of Communications and Information Sciences(KICS) (2022) View
8 G.C. Amaizu, Lee, Jae-Min and Kim, Dong-Seong, "Machine Learning Based Security for Smart Cities", 27th Asia Pacific Conference on Communications (APCC) - 2022 View
9 G.C. Amaizu, Njoku Judith, Lee Jae-Min, and Kim Dong-Seong, "Security in Metaverse: A Closer Look", Korean Institutes of Communications and Information Sciences (KICS) - 2022 View
10 G.C. Amaizu, Agron, Danielle, Lee, Jae-Min and Kim, Dong-Seong, "Two-Stage Classification Technique for Malicious DNS Identification", International Conference on Artificial Intelligence in Information and Communication (ICAIIC) - 2021 View
11 Ahakonye, Love Allen Chijioke, G.C. Amaizu, Nwakanma Cosmas, Lee, Jae Min and Kim, Dong-Seong, "Enhanced Vulnerability Detection in SCADA Systems using Hyper-Parameter-Tuned Ensemble Learning", International Conference on Information and Communication Technology Convergence (ICTC) - 2021 View
12 G.C. Amaizu, Lee, Jae-Min and Kim, Dong-Seong, "FedViTBloc: Secure and Privacy-Enhanced Medical Image Analysis (Processing) In-View

Patents

#
1 DNN-based DDoS attack detection method in next-generation network environment (Published). View
2 Secure and Privacy-Enhanced Medical Image Analysis In-View

Projects

Developed a privacy-focused federated learning model for medical image analysis, employing a secure blockchain network for client registration and model aggregation. Implemented homomorphic encryption to safeguard training data, ensuring data privacy and regulatory compliance in collaborative model training.

Collaborated with startup "Conception" to develop and implement a real-time monitoring system for printing processes, utilizing various readings and images to train an AI model that detects defects, addressing the issue of time and material wastage caused by errors discovered only at the end of printing.

Implemented a computer vision and drone frequency-based model in a project to detect drones in restricted environments, distinguishing between unauthorized and authorized drones.

Collaborated with LGU+ on a 5G data center project, involving analysis of traffic, conducting diverse DDoS attacks, and implementing AI to develop a model for classifying network traffic as benign or malicious.

Workshops

Metaverse Applicability to Manufacturing (Speaker)

Security in Metaverse: A Closer Look (Speaker)

Research Interests

  • AI / ML
  • Digital Twin / Metaverse
  • IIoT
  • Cyber Security
  • E-health

Awards & Cerfitications

AWS Machine Learning Foundations. Awarded by Udacity

Full Stack Web Developer. Awarded by Udacity

IELTS - 7.5

What senior colleagues say

Resume