About me

Who am I?

Hi, I'm Riddhi Mandal, a Research Assistant at Hong Kong Metropolitan University. I am deeply involved in a collaborative project with The Education University of Hong Kong focusing on biomechanics under Prof. Kevin Hung and Prof. Daniel Chow. Through this collaboration, my passion for leveraging machine learning, deep learning, and human-computer interaction to solve real-world problems is further enriched.

Before joining MU, I was involved in AI-based research projects as an intern at different labs. At G H Raisoni College of Engineering, I was a Biotechnology Industry Research Assistance Council (BIRAC) Junior Research Fellow under Dr. Vibha Bora in Biomedical Engineering & Technology Innovation Centre (BETiC) lab. Following this, I've gained valuable experience as a MITACS Globalink Research Intern at the University of Northern British Columbia under Dr. Jianhui Zhou at Wood Innovation and Design Centre, where I worked on ground reaction force estimation using computer vision. Currently, I am working on finding Argumentative claims in biomedical research articles. On the application side, I am also interested in applying my skills to various science and engineering applications.

  • design icon

    Deep Learning

  • mobile app icon

    Computer Vision

  • camera icon

    Data Science

  • Web development icon

    Web development

Languages

  • Python Icon

    Python

  • R Icon

    R

  • Matlab Icon

    Matlab

  • C Icon

    C

  • C++ Icon

    C++

  • Java Icon

    Java

Skills

Technical Skills

  • Computer Vision
    90%
  • Machine Learning
    94%
  • Deep Learning
    95%
  • Signal Processing
    75%
  • Database Management
    78%
  • MATLAB
    85%
  • Microsoft Azure
    80%
  • Data Science & Analysis
    88%
  • Natural Language Processing (NLP)
    92%
  • Web Development
    88%

Portfolio

Education

Education

  1. G. H. Raisoni College of Engineering

    August 2019 — June 2023

    Bachelor of Technology (Major: Artificial Intelligence)
    CGPA: 8.62/10
    Thesis: Developing an Image Captioning System with a Text-to-Speech Module for Improved Accessibility for the Visually Impaired.

Awards

  1. MITACS Globalink Research Internship

    Award Details

    Received the prestigious MITACS Globalink Research Internship at the University of Northern British Columbia, where I researched “Ground Reaction Force Estimation Based on Computer Vision using Azure Kinect” under the mentorship of Dr. Jianhui Zhou.

Experience

Research Experience

  1. Hong Kong Metropolitan University

    Dec. 2023 — Present

    Research Assistant
    - Conducting upper-body posture analysis, capturing kinematic data during static and dynamic tasks.
    - Developing algorithms to analyze posture, joint angles, and muscle activation, aiming to identify potential issues.
    - Designing experiments for analyzing running biomechanics, using MATLAB for data processing and gait analysis.
    - Presenting findings in research meetings and contributing to publications.

  2. Biomedical Engineering & Technology Innovation Centre, BETiC-GHRCE

    Jul. 2023 — Nov. 2023

    Biotechnology Industry Research Assistance Council Junior Research Fellow
    Title: Smart Web-Based Application for Dental Disease Detection using AI
    - Conducted a literature review on deep learning and computer vision for dental disease detection.
    - Developed a user-friendly web app for dental diagnostics, incorporating deep transfer learning techniques and GPU acceleration for efficiency.
    - Worked closely with dental experts to validate the application’s accuracy and reliability.

  3. University of Northern British Columbia

    Jul. 2022 — Sep. 2022

    MITACS Globalink Research Intern
    Title: Ground Reaction Force Estimation Based on Computer Vision using Azure Kinect
    - Conducted literature research on methodologies for ground reaction force estimation using computer vision.
    - Developed human detection algorithms with Microsoft Kinect DK to track subjects accurately.

  4. University of Northern British Columbia

    Dec. 2022 — May 2023

    Research Intern
    - Focused on refining techniques for ground reaction force measurement during walking and jumping.
    - Performed extensive data analysis, optimizing methodologies for accurate measurement.

Additional Work

  1. Microsoft Student Learn Ambassador India Beta Milestone

    Jan. 2021 - Present

    Engaged as a Microsoft Student Learn Ambassador, organizing workshops, webinars, and events to promote technological learning. Provided guidance to students on Microsoft technologies and resources.

  2. Millennium Campus Network

    Oct. 2021 – Dec. 2021

    Collaborated on social impact initiatives, focusing on community development and sustainability. Worked with students and community members to raise awareness on global issues.

  3. IEEE SBC GHRCS India Volunteer

    Jan. 2020 - Oct. 2021

    Organized technical workshops, seminars, and conferences, promoting knowledge sharing and skill development within the IEEE community.

Publications

Research Publications

  1. Autonomous Floating Garbage Collection Device Using Computer Vision and Robotics

    8th International Conference on Algorithms, Computing and Systems (ICACS 2024)

    Authors: Dhammashree Tamgadge, Bhanu Nagpure, Riddhi Mandal
    Research on designing an autonomous system for effective floating garbage collection, utilizing robotics and computer vision for environmental management.

  2. Comparative Analysis for Improving Accuracy of Image Classification using Deep Learning Architecture

    4th International Conference on Innovative Computing and Communication (ICICC-2021)

    Authors: Gopal Sakarkar, Ketan Paithankar, Prateek Dutta, Gaurav Patil, Shivam, Ruchi Chaturvedi, Akshita Bhimarapu & Riddhi Mandal
    Paper Link

  3. Energy Efficient Data Transmission in Wireless Sensor Network Using Cross-Site Leaping Algorithm

    International Conference on Computational Intelligence and Computing Applications-21 (ICCICA-21)

    Authors: Sathish Kumar Penchala, Prateek Dutta, Riddhi Mandal, Pragati Bhat, Durva Akre, Nikita Mate
    Paper Link

  4. An Advanced Approach toward Sentiment Analysis Using Swarm Intelligence

    International Journal for Research in Applied Science & Engineering Technology, Volume: 09/Issue: 05, 2021. Page: 1710-1713

    Authors: Riddhi Mandal, Prateek Dutta
    Paper Link

  5. The Computational Approach for Human Face Mask Detection

    International Research Journal of Engineering and Technology, Volume-08/Issue-06, 2021. Page: 1131-1135

    Authors: Prateek Dutta, Riddhi Mandal
    Paper Link

  6. An Advanced Approach toward Sentiment Analysis Using Quantum AI

    International Research Journal of Engineering and Technology, Volume-08/Issue-06, 2021. Page: 2331-2335

    Authors: Riddhi Mandal, Pragati Bhat
    Paper Link

Patents

  1. Social Distancing Device

    Patent Details

    Developed a cost-efficient, user-friendly device to maintain safe distances in public spaces during pandemics. Leveraged proximity sensors and advanced technologies to enhance safety across various settings. Acknowledged for innovative design and practical application.

  2. AI-Based Dental Disease Detection System

    Patent Details

    Created an AI-driven system for accurate dental disease diagnosis using deep learning and computer vision. Designed to assist dental professionals in quick and effective patient assessment, significantly improving diagnostic efficiency.

Contact

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