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Dr. Md Rashedul Islam

Manager of Overseas AI Group
and Lead Researcher of Computer Vision
R&D Department, Chowagiken Corp., Japan

[Former] Senior Engineer, R&D department,
Nikon-Exvision Corporation, Tokyo, Japan
[Former] Visiting Researcher (postdoc)[Visit ]
School of Computer Science and Engineering, University of Aizu, Japan
[Former] Associate Professor [Visit ]
Dept. of CSE, University of Asia Pacific, Dhaka, Bangladesh
Supervisor [Visit ]
Computer Vision & Pattern Recognition Lab, University of Asia Pacific

PhD, Embedded System Lab, University of Ulsan, South Korea
M.Sc., University of Boras, Sweden
B.Sc. (Hons), University of Rajshahi, Bangladesh

Senior member, IEEE




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Short Biography

Dr. Md. Rashedul Islam received a B.Sc. degree in computer science and engineering from the University Rajshahi, Rajshahi, Bangladesh, in 2006, an M.Sc. degree in informatics from the Högskolan i Borås (University of Boras), Boras, Sweden, in 2011, and a Ph.D. degree in electrical, electronic, and computer engineering at the University of Ulsan, Ulsan, South Korea, in 2016. He is currently working as a Lead Researcher of Computer Vision and Manager of Overseas AI Group, Chowagiken Corp., Japan. Previous, he worked as a Senior Engineer, R&D department, Nikon-Exvision Corporation, Tokyo, Japan; Visiting researcher (postdoc) in the School of Computer Science and Engineering, University of Aizu, Japan; Associate Professor in the Department of Computer Science and Engineering, University of Asia Pacific (UAP), Dhaka, Bangladesh; Graduate research assistant in the Embedded system lab, University of Ulsan, South Korea; Assistant professor in the Department of Computer Science and Engineering, University of Asia Pacific (UAP), Dhaka, Bangladesh; and Lecturer in the Department of Computer Science and Engineering, Leading University, Sylhet, Bangladesh. His research areas are Computer Vision, Machine learning, deep learning, AI, Signal & Image processing, HCI, health informatics, Bearing fault diagnosis, and others. He is a reviewer of several journals, like, IEEE Transactions on industrial electronics, IEEE Access, Applied Science, Multimedia tools and application, Cluster Computing, Shock and Vibration, Journal of Information Processing Systems, and others. He is also a PC member of several international conferences. Also, he has a good experience in professional IT system analysis and development. He is a Senior member of the IEEE Computer Society and IEEE Computational Intelligence Society.

He has also served as: a) Secretary, organizing committee, 19th International Conference on Computer and Information Technology 2017 (ICCIT2017), b) Organizing Chair, Organizing committee, ACM-ICPC Dhaka Regional Site 2017, c) Head, Self-Assessment Committee (SAC) of Dept. of CSE Under IQAC, University of ASIA PACIFIC, d) Coordinator, MCSE Program, Dept. of CSE, University of ASIA PACIFIC, e) Convener of Software and Hardware Club, Dept. of CSE, University of ASIA PACIFIC. f) Coordinator, Admission Committee, Dept. of CSE, University of ASIA PACIFIC, g) Treasurer, Bangladesh Advanced Computing Society.

Education & Training

  • Ph.D. Aug 2016

    Ph.D. in Computer Engineering

    Embedded System Lab, Department of Electrical, Electronics and Computer Engineering,
    University of Ulsan, Ulsan, South Korea
    Thesis: Discriminant Fault Feature Selection and Reliable Online Bearing Fault Diagnosis System using Signal Processing and Machine Learning Techniques

  • M.Sc.2011

    M.Sc. in Informatics

    University of Borås (Högskolan i Borås), Sweden.
    Thesis: Evaluations of the parallel extensions in .NET 4.0

  • B.Sc2006

    B.Sc. in Computer Science and Engineering

    Department of Computer Science and Engineering,
    University of Rajshahi, Bangladesh
    Thesis: Speaker Identification System Using Eigenface Classification Engine Area: Speech Signal Processing

  • HSC 2000

    Higher secondary certificate

    Major in Science, Govt. A. H. College, Bogra under Rajshahi board, Bangladesh.

  • SSC1998

    Secondary school certificate

    Major in Science, Gabtali Pilot high school, Bogra, under Rajshahi board, Bangladesh.

Work Experiences

Academic and research experience

  • Present 2023

    Manager of Overseas AI Group & Lead Researcher of Computer Vision

    R&D Department, Chowagiken Corp., Japan
    Duration: 01 May 2023 to now

  • 2023 2020

    Senior Engineer, R&D department, Industry Solutions Division

    Nikon-Exvision Corporation, Tokyo, Japan
    Duration: 01 January 2020 to 30 April 2023

  • 2019 2018

    Visiting Researcher (Postdoc)

    School of Computer Science & Engineering, University of Aizu, Fukushima, Japan
    Duration: 01 April 2018 to December 2019

  • 2018 2016

    Associate Professor

    Dept. of Computer Science & Engineering, University of Asia Pacific, Dhaka, Bangladesh
    Duration: 16-10-2016 to 30-03-2018

  • 2016 2011

    Assistant Professor

    Dept. of Computer Science & Engineering, University of Asia Pacific, Dhaka, Bangladesh
    Duration: 09-10-2011 to 15-10-2016

  • 2016 2013

    Graduate Research Assistant

    Embedded System Lab, University of Ulsan, South Korea. (http://eucs.ulsan.ac.kr)
    Duration: 01-09-2013 to 22-08-2016

  • 2011 2009

    Senior Lecturer

    Dept. of Computer Science & Engineering, Leading University, Sylhet, Bangladesh
    Duration: 17-09-2009 to 01-10-2011

  • 2009 2007

    Lecturer

    Dept. of Computer Science & Engineering, Leading University, Sylhet, Bangladesh
    Duration: 17-09-2007 to 16-09-2009

Professional experience

  • Present 2016

    Software Engineering Consultant

    Orbit Itech Ltd., Birminghum, UK
    Duration: 01-Feb-2016 to till date

  • 2012 2011

    IT consultant

    Arrowsoft, Sylhet, Bangladesh
    Duration: Jan 2011 to June 2012

  • 2007 2007

    Chief Technical Officer

    Firm: Orbit Solutions Ltd (Complete IT Solution Firm)
    Niloy-60(2nd Floor), Dorga gate, Sylhet.
    Duration: 01-03-2007 To 15-09-2007

  • 2007 2006

    Senior Developer

    Firm: Orbit Solutions Ltd (Complete IT Solution Firm),
    Niloy-60(2nd Floor), Dorga gate, Sylhet.
    Duration: 01-09-2006 To 28-02-2007

Other Experiences

  • 2018 2017

    Head

    Self-Assessment Committee (SAC) of Dept. of CSE Under IQAC

  • 2017

    Secretary

    Organizing committee,19th International Conference on Computer and Information Technology 2017 (ICCIT2017).

  • 2017

    Chair

    Organizing committee, ACM-ICPC Dhaka Regional Site 2017

  • 2017 2016

    Convener

    Software and Hardware Club, Dept. of CSE, University of Asia Pacific

  • 2017 2016

    Coordinator

    Admission Committee, Dept. of CSE, University of Asia Pacific

  • 2018 2017

    Treasurer

    Bangladesh Advanced Computing Society.

  • 2013 2011

    Coordinator

    Master of Science in Computer Science and Engineering (MCSE), University of Asia, Pacific

  • 2013 2011

    Convener

    Research and Publication Unit, Dept of CSE, University of Asia Pacific

  • 2009

    Head (Acting)

    Dept. of CSE, Leading University

  • 2009 2007

    Adviser

    Computer Club, Dept. of CSE, Leading University, Sylhet

Researches

Research Interests

  • Artificial Intelligence
  • Machine learning & Deep learning
  • Coputer Vision
  • Signal & Image processing
  • Feature selection & optimization
  • Data Science
  • Industrial anomaly detection
  • Human activity recognition
  • Health informatics & disease diagnosis
  • Human Computer Interaction
  • Robitic applications
  • Fault detection and diagnosis of induction motor

Research Projects

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    AI for industrial anomaly detection

    The purpose of this study is to investigate and develop efficient AI model for identifying fault/anomaly of products of industrial manufacturing process. High speed camera sensors are use for collecting data of product and image processing, pattern matching, and ML/deep learning algorithms are used for analyzing data and classifying damage products.

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    Parkinson"s disease diagnosis

    Quantities and reliable kinematic feature extraction for disease (i.e. Parkinson's disease) diagnosis using pen-tablet. The purpose of this study is to establish a technological infrastructure with feature extraction and identification algorithm development to generate quantitative, reliable and reasonable evaluation index by utilizing sensor technology, data science and machine/deep learning technology to evaluate cognitive and motor symptoms of neurological diseases..

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    Human activity and abnormality detection using multi-sensor data

    Accelerometer, gyroscope, EMG, and other wearable sensors' data analysis based activity and abnormality detection of human using. In this research, the embedded sensor is used for collecting activity data for analyzing and detecting the abnormality of people. The machine/deep learning techniques is used for analyzing and detecting activity and abnormality.

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    Disease diagnosis using ECG/EEG signal analysis and machine learning

    ECG and EEG are mostly used bio signals which express many artifacts of human body. Based on the feature extracted from those bio signals, disease can be diagnosed using machine learning techniques. Here EEG and ECG signals are analyzing for detecting the abnormalities of human body.

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    Non-touch interface development for HCI

    RGB-D, Leap motion etc sensor based non-touch human computer interaction interface development. The aim of this research is to identify the human body and hand gesture for understanding the gesture command and non-touch input for computer or robot. Dynamic gesture recognition will be done by gesture feature extraction and machine/deep learning models..

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    Fault detection and diagnosis of Induction motor

    Identifying the fault of bearing and induction motor using vibration and acoustic emission signal analysis and machine learning techniques.

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    Image Watermarking and information security

    Hiding secret information into image for image and information security

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    Parallel Processing

    Develop and evaluation the parallel programming structure for many core architectures

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    Human voice Recognition

    Human Identification using voice signal analysis and classification

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Thesis Supervisions

  • PhD
    2019~
    Human Activity Recognition and Elderly People Fall Prediction using Machine Learning and Signal Processing techniques
    Department of Computer Science and Engineering, Bangladesh University of Professionals
  • PhD (Co-supervision)
    2021-2024
    Cloud-based Autonomous Robotic Systems for Enhanced Mobility and Accessibility
    School of Computer Science and Engineering, University of Aizu, Japan
  • PhD (Co-supervision)
    2018-2021
    Hand Gesture and Handwriting Based HCI and Health Informatics System Using Machine Learning Techniques
    School of Computer Science and Engineering, University of Aizu, Japan
  • B.Sc. thesis
    Fall 2018
    Enhanced denoising of sEMG signal for efficient human action recognition
    School of Computer Science and Engineering, University of Aizu
  • B.Sc. Thesis
    Fall 2018
    Brain computer interaction based of EEG signal analysis
    Dept. of Computer Science and Engineering, University of Asia Pacific
  • B.Sc. Thesis
    Fall 2018
    Outlier detection based leaf disease detection and diagnosis using image processing techniques
    Dept. of Computer Science and Engineering, University of Asia Pacific
  • B.Sc. Thesis
    Fall 2018
    Parkinson"s disease detection based on hand writing analysis
    Dept. of Computer Science and Engineering, University of Asia Pacific
  • B.Sc. Thesis
    Spring 2018
    Real time Human computer interaction based on dynamic hand gesture
    Dept. of Computer Science and Engineering, University of Asia Pacific
  • M.Sc Thesis
    Fall 2017
    PCA and ICA Based Feature Extraction for Cardiac Arrhythmia Disease Diagnosis.
    Dept. of Computer Science and Engineering, University of Asia Pacific
  • M.Sc. Thesis
    Fall 2017
    Enhanced Sleep Disorder Detection Method Using DWT and Feature Selection Technique
    Dept. of Computer Science and Engineering, University of Asia Pacific
  • M.Sc Thesis
    Fall 2017
    Feature Extraction from EEG signal Using EMD for Sleep Disorder Detection
    Dept. of Computer Science and Engineering, University of Asia Pacific
  • B.Sc Thesis
    Fall 2017
    Video Based Smoke Detection Using Smoke Growth Analysis for Fire Alarm System
    Dept. of Computer Science and Engineering, University of Asia Pacific
  • B.Sc Thesis
    Fall 2017
    A Fault Diagnosis Model of Bearing using Convolutional Neural Network
    Dept. of Computer Science and Engineering, University of Asia Pacific
  • B.Sc Thesis
    Spring 2017
    Reduction of Gesture Feature Dimension for Improving the Hand Gesture Recognition Performance of Numerical Sign Language
    Dept. of Computer Science and Engineering, University of Asia Pacific
  • M.Sc Thesis
    Spring 2013
    Performance evaluation on Data partitioning and task partitioning in parallelism
    Dept. of Computer Science and Engineering, University of Asia Pacific
  • B.Sc Thesis
    Spring 2013
    Memory Efficient adaptive Distributed database management system using cost function
    Dept. of Computer Science and Engineering, University of Asia Pacific