Masud Ahmed

Graduate Teaching Assistant
Univesity of Maryland, Baltimore County.

Hello! Welcome to my webpage. I am a data scientist, currently pursuing my Ph.D. in the Department of Information Systems at the University of Maryland, Baltimore County, under the supervision of Dr. Nirmalya Roy. I am a team member of Mobile, Pervasive and Sensor Computing (MPSC) Lab. My academic research focuses on object detection, tracking, and segmentation by visionary sensors (e.g., RGB camera, LIDAR, Thermal camera) using machine learning. My current work spans around computer vision, multi-modality. I have experience working with signal processing, time-series data analysis. I am also working as a teaching assistant for the course, Network Design and Management.

To download my resume click here

Education

  • Ph.D. in Information Systems (January 2020 - Present)

    University of Maryland, Baltimore County
    Supervisior: Dr. Nirmalya Roy, Associate Professor
    CGPA: 3.90/4.00

  • B.Sc. in Electrical and Electronic Engineering (January 2014 - April 2018)

    University of Dhaka
    Supervisor: Dr. Md Atiqur Rahman Ahad, Professor
    CGPA: 3.18/4.00

To download my transcript click following (authorization required):
B.Sc. transcipt
Ph.D. transript (unofficial)

Publications

  • Google Scholar profile link
  • ResearchGate profile link

    • Book

    , "IoT Sensor-Based Activity Recognition - Human Activity Recognition," Springer Nature.

    Preview of the book

    Journal Paper

    , "Wearable Sensor-Based Gait Analysis for Age and Gender Estimation," Sensors, 2020.

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    Conference Paper

    , "Temporal Clustering Based Thermal Condition Monitoring in Building," Sustainable Computing: Informatics and Systems, 2020. (Best paper award)

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    , "POIDEN: position and orientation independent deep ensemble network for the classification of locomotion and transportation modes," UbiComp'19: Proceedings of the 2019 ACM International Joint Conference and 2019 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, ACM, 2019.

    Cite this paper

    , "A comparative approach to classification of locomotion and transportation modes using smartphone sensor data," UbiComp'18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, ACM, 2018.

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    , "OU-ISIR wearable sensor-based gait challenge: Age and gender," International Conference on Biometrics (ICB), Greece, 2019.

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    , "An Approach to Classify Activities of Daily Living in real-time from Smartphone Sensor Data," International Conference on Activity and Behavior Computing Conference (ABC), USA, 2019.

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    , "Challenges in Sensor-based Human Activity Recognition and a Comparative Analysis of Benchmark Datasets: A Review," International Conference on Activity and Behavior Computing Conference (ABC), USA, 2019.

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    , "Prediction of Gender and Age from Inertial Sensor-based Gait Dataset," International Conference on Informatics, Electronics & Vision (ICIEV), USA, 2019.

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    Work & Research Experiences

    Yagi Laboratory, Department of Intelligent Media, ISIR, Osaka University

    [October 2018 - November 2018 & February 2019 - October 2019]

    Worked as an assistant researcher. I was involved in three projects, RGB-D camera-based human activity recognition, autonomous health monitoring system design for elderly home, and camera-based artificial running monitoring system.

    Joykoly Publication Ltd.

    [February 2018 - July 2018]

    Worked as a content writer and website developer. This company publishes supplementary books for several public exams in Bangladesh.

    Additional Information

    Skills

  • Programming Skill: Python, C, Matlab, Assembly
  • Math Skill: Linear Algebra, Differential Equation Solution, Probability and Statistics
  • Hardware Skill: Arduino and PIC microcontroller based projects, Raspberry Pi
  • Language Skill: Fluent in English