I'm

About

Researcher On Machine Learning & AI.

Current Address: Universitetsplan 1, 722 20 Västerås, Väastmanland, Sweden.

  • Degree: Master's
  • Phone: +46 732708833
  • Website: www.arnabbarua.com
  • City: Chattogram
  • Email: engarnab2015@hotmail.com
  • Skype: engarnab2015
  • Github: https://github.com/arnabfly
  • Country: Bangladesh

Arnab Barua is a Doctoral Student working as a member of the Artificial Intelligence and Intelligent Systems group in the Computer Science and Software Engineering division. His research interest includes Multimodal Machine Learning, Deep Learning, Image Processing and Healthcare applications involving Artificial Intelligence. He completed his master's degree in Computer Science and Technology from Xidian University, China, in 2020 and bachelor degree in Computer Science and Technology from International Islamic University Chittagong, Bangladesh, in 2015. Before his doctoral studies, Arnab Barua joined as a research engineer at the KIOS Research & Innovation Center of Excellence at the University of Cyprus. He also worked as a software engineer at Subra Systems Limited.

Education

Doctoral Student

September,2021 - Continue

Mälardalen University, Västerås, Västmanland, Sweden

Division: Division of Computer Science and Software Engineering

Research Group: Artificial Intelligence and Intelligent Systems

Research Project: FitDrive

Supervisor: Prof. Dr. Mobyen Uddin Ahmed

Master's in Computer Science & Technology

September,2017 - June,2020

Xidian University, Xi'an, Shaanxi, China

Thesis Title: Research on Deep Learning Classification Algorithm for Detecting Neuropsychiatric Disorder Diseases of Motor Symptoms.

Department: School of Computer Science & Technology

Supervisor: Prof. Dr. Xiaodong Yang

Bachelor of Science in Computer Science & Engineering

October,2011 - November,2015

International Islamic University Chittagong, Chattogram, Bangladesh

Project Title: Web-based Student Automation System

Department: Department of Computer Science and Engineering

Supervisor: Prof. Samsul Alam

Experiences

Research Engineer

September,2020 - September, 2021

KIOS Research and Innovation Center of Excellence (KIOS CoE), University of Cyprus, Nicosia, Cyprus

Duties/Responsibilities: Carrying out research in the area of Artificial Intelligence (AI). Working with senior researchers to develop assigned projects. Create and execute test plans, analyze test results and file test bugs.

Software Engineer

January,2017 - Auguest,2017

Subra Systems Limited, Dhaka, Bangladesh

Duties/Responsibilities: Analyzing and gathering requirements for the framework and creating a design for the final software output. Developing the web based software using computer programming languages such as ASP.net, C# and MSSQL. Creating and maintaining the ASP.NET based websites and their web applications as per the initial guidelines of the client.

Journals Publication

Overall Research Impact Factor 17.344

1. Arnab Barua, Ahmed, M.U. and Begum, S., "A systematic literature review on multimodal machine learning: Applications, challenges, gaps and future directions." in IEEE Access, 2023, DOI: 10.1109/ACCESS.2023.3243854(Impact Factor 3.9)

2. Arnab Barua, Xiaodong Yang, “Gait Signals Classification and Comparison”, International Journal of Numerical Modeling (Wiley), 2019, 10.1002/jnm.2577 (Impact Factor 0.89)

3. Arnab Barua, Dong C, Yang X. A deep learning approach for detecting tic disorder using wireless channel information. Trans Emerging Tel Tech. 2020;e3964. https://doi.org/10.1002/ett.3964 (Impact Factor 1.258)

4. Arnab Barua, C. Dong, F. Al-Turjman and X. Yang, "Edge Computing based Localization Technique to Detecting Behavior of Dementia," in IEEE Access, doi: 10.1109/ACCESS.2020.2988935 (Impact Factor 4.098)

5. Arnab Barua, Z. Zhang, F. Al-Turjman and X. Yang, "Cognitive Intelligence for Monitoring Fractured Post-Surgery Ankle Activity Using Channel Information," in IEEE Access, doi: 10.1109/ACCESS.2020.3000599. (Impact Factor 4.098)

6. Mustafa, A., Haider, D., Arnab Barua, Tanyeri, M., Erten, A. and Yalcin, O., 2023. Machine learning based microfluidic sensing device for viscosity measurements. Sensors & Diagnostics, 2(6), pp.1509-1520.(Impact Factor N/A)

7. Giorgi, A., Ronca, V., Vozzi, A., Aricò, P., Borghini, G., Capotorto, R., Tamborra, L., Simonetti, I., Sportiello, S., Petrelli, M. and Polidori, C., Arnab Barua, 2023. Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving. Frontiers in Neurorobotics, 17.(Impact Factor 3.1)

Conference Publication

1. Arnab Barua, Mobyen Uddin Ahmed, and Shahina Begum. "Multi-scale Data Fusion and Machine Learning for Vehicle Manoeuvre Classification." In 2023 IEEE 13th International Conference on System Engineering and Technology (ICSET), pp. 296-301. IEEE, 2023.

2. Arnab Barua; Uddin Ahmed, M.; Barua, S.; Begum, S. and Giorgi, A. (2024). Second-Order Learning with Grounding Alignment: A Multimodal Reasoning Approach to Handle Unlabelled Data. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-680-4; ISSN 2184-433X, SciTePress, pages 561-572. DOI: 10.5220/0012466500003636

Awards & Honors

1. MS Degree Studentship – Received fully funded MS scholarship from Chinese Student Council sponsored by Chinese Central Government (worth $17,000)

2. Best Student Paper Award – Received best student paper award in proceedings of the 16th International Conference on Agents and Artificial Intelligence for article "Second-Order Learning with Grounding Alignment: A Multimodal Reasoning Approach to Handle Unlabelled Data"

Technical Skills

Computer Programming

C/C++, Python, C#, Java, Matlab, Ruby, PhP, JavaScript, J-Query, ASP .NET, MS-SQL, My-SQL, Verilog, Assembly

Other Tools

Visual Studio, Mendeley, Endnote, Anaconda, Spyder, Jupyter Notebook, Keras, Pytorch, Django

Tutorials

  • All
  • Programming
  • Research
  • Developing

Contact

Location:

Universitetsplan 1, 722 20 Västerås, Väastmanland, Sweden.

Call:

+46732708833

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