Md Kaviul Hossain

He is highly motivated and technically adept Computer Science and IT professional with a strong academic foundation and hands-on experience in research, cloud computing, and software development. He is adept at designing and deploying cloud-based solutions, working with DevOps tools, and implementing CI/CD pipelines. He is a published researcher with multiple contributions in networking, cloud computing, IoT, ML and cybersecurity. He possesses a proven ability to lead teams, manage projects, and contribute to academic conferences. He is well experienced in programming with Python, C++, and Java, as well as frameworks like Django and Node.js. He has successfully managed large-scale projects, including enterprise web applications and fraud detection systems. He is well passionate about leveraging technology to drive innovation and efficiency in both academic and professional settings. Moreover, he holds a master’s in information technology from Deakin University and a bachelor’s in computer science from BRAC University. He is well recognized for leadership, problem-solving skills, and a commitment to continuous learning.

B.Sc. in Computer Science & Engineering, BRAC University, 2021

M.IT. (Professional), Deakin University, Australia, 2024

Networking, Cloud Computing, IoT, Machine Learning.

Completed Projects:

1. Urban Building Earthquake Resistance Assessment (UBERA). Funded by the Ministry of ICT, Bangladesh

Recent Conferences:

1. Paper Reviewer, International Conference on Advances in Computing, Communication, Electrical and Smart Systems (iCACCESS 2024).
2. Paper Reviewer, South-East Asia Millennial Conference (SMIC 2021), Kuala Lumpur, Malaysia.
3. Paper Reviewer, South-East Asia Millennial Conference (SMIC 2020), Kuala Lumpur, Malaysia.

Awards:

1. Best Paper Award: BRAC University International Conference on Business Management (ICBM), 2021

1. M. K. Hossain, M. Rahman, A. Hossain, S. Y. Rahman and M. M. Islam,” Active & Idle Virtual Machine Migration Algorithm- a new Ant Colony Optimization approach to consolidate Virtual Machines and ensure Green Cloud Computing,” 2020 Emerging Technology in Computing, Communication and Electronics (ETCCE), Bangladesh, 2020, pp. 1-6.
2. M. K. Hossain, T. Promi and P. Paul,” Credit card fraudulence detection using Salient Feature Extraction Technique with Adaptive Synthetic Oversampling Models,” 2021 24^th International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 2021, pp. 1-6.
3. M. K. Hossain,” Smart & Scalable Lighting System Using Motion Sensors, Light Dependent Resistors and ESP8266 Controller Board,” 2024 IEEE International Conference on Advanced Systems and Emergent Technologies (ICASET), Hammamet, Tunisia, 2024, pp. 1-6.
4. M. K. Hossain,” Migration of Idle Machines via Parking Server – a new sophisticated Ant Colony Optimization algorithm to address Green Cloud Computing,” 2024 4th International Conference on Intelligent Technologies (CONIT), Bangalore, India, 2024, pp. 1-5.
5. M. K. Hossain,” A Neural Network Learning Approach Using ConvNet Models to Consolidate Corneal Ulcer Detection in Opthalmology,” 2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), Kota Kinabalu, Malaysia, 2024, pp. 36-41.
6. Credit Card Fraud Detection using Big Data and Deep Learning Algorithms (Published in BRAC University ICBM 2021)