Mr. Md Jobair Hossain Faruk | Blockchain in Comms Award | Best Researcher Award

Mr. Md Jobair Hossain Faruk | Blockchain in Comms | Best Researcher Award

Mr. Md Jobair Hossain Faruk, New York Institute of Technology, United States

πŸŽ“ Mr. Md Jobair Hossain Faruk is a driven Ph.D. student at the New York Institute of Technology πŸ™οΈ, where he maintains a stellar 4.0 CGPA while delving into the realms of software engineering, health informatics, and cybersecurity πŸ›‘οΈ. His passion lies in harnessing the power of machine learning πŸ€– and blockchain technology ⛓️ to tackle complex challenges. With a rich academic background πŸ“š spanning across institutions like Kennesaw State University and Sultan Idris Education University, Jobair’s journey is marked by excellence, earning him accolades such as the Graduate Scholar Award πŸ† and Best Paper Award πŸ“. As a dedicated researcher, he explores diverse domains, from speech emotion recognition to innovative machine learning applications in health informatics 🧠. His commitment to professional development shines through his active involvement in ACM SIGCHI and other scientific societies 🌟, showcasing his leadership in shaping the future of technology and sustainable development 🌍.

🌐 Professional Profile:

Google Scholar

πŸŽ“ Education

Md Jobair Hossain Faruk is a dedicated Ph.D. student in the Department of Computer Science at the New York Institute of Technology, maintaining a perfect 4.0 CGPA. His research focuses on software engineering, health informatics, and cybersecurity, particularly leveraging machine learning and blockchain technology. He previously studied at Kennesaw State University and earned a Master’s in Software Engineering with a perfect CGPA and a Bachelor’s in Computing from Sultan Idris Education University in Malaysia, where he received multiple accolades, including the Dean’s Award with Distinction.

πŸ’Ό Professional Experience

Currently, Jobair is a Graduate Research Assistant at NYIT, working on speech emotion recognition and health informatics under Dr. Jerry Cheng’s guidance. He also serves as a Graduate Teaching Assistant, assisting with courses on algorithms. His past roles include a postdoctoral fellowship at the University of Illinois Urbana-Champaign, an intern at the United Nations, and a research assistant at Kennesaw State University. His projects span various domains, from cybersecurity and blockchain to machine learning applications in health informatics.

🧠 Research Interests and Skills

Jobair’s research expertise includes software engineering, machine learning, deep learning, NLP, blockchain, and computer vision, with applications in health informatics and cybersecurity. He is proficient in multiple programming languages such as Python, Java, and JavaScript, and skilled in libraries and tools including OpenCV, TensorFlow, AWS, and Google Cloud. He has contributed significantly to research, publishing papers and leading innovative projects.

πŸ† Awards and Honors

Jobair’s academic excellence and research prowess have earned him numerous awards, including the Graduate Scholar Award at NYIT, the Best Paper Award at IEEE ICHI 2022, and the SciAuth Fellowship at the University of Illinois Urbana-Champaign. He has also been recognized with travel grants and special paper awards from prestigious conferences and institutions.

🌟 Professional Activities and Memberships

Actively involved in professional communities, Jobair is a member of ACM SIGCHI and other scientific societies. He has organized and participated in workshops and hackathons, contributing to the academic and professional development of his peers and the broader community. His leadership and commitment to sustainable development were also recognized through his fellowship with the United Nations SDGs Future Fellowship Program.

Publication Top Notes:

  1. Ransomware classification and detection with machine learning algorithms
    • Conference: 2022 IEEE 12th Annual Computing and Communication Workshop and Conference
    • Citations: 66 (2022)
  2. Towards Blockchain-Based Secure Data Management for Remote Patient Monitoring
    • Conference: 2021 IEEE International Conference on Digital Health (ICDH)
    • Citations: 42 (2021)
  3. Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection
    • Conference: Proceedings – 2021 IEEE International Conference on Big Data, Big Data 2021
    • Citations: 42 (2021)
  4. A Review of Quantum Cybersecurity: Threats, Risks and Opportunities
    • Conference: 1st International Conference on AI in Cybersecurity (ICAIC)
    • Citations: 38 (2022)
  5. Evolution of quantum computing: A systematic survey on the use of quantum computing tools
    • Conference: 2022 IEEE 46th Annual Computers, Software, and Applications Conference
    • Citations: 33 (2022)