Syed Fahim Ahmed

Graduate Research Fellow of

About

Graduate Research Fellow

  • Birthday: 15 June 1996
  • Website: www.syedfahimahmed.github.io
  • City: Salt Lake City, Utah, USA
  • Age: 26
  • Education: PhD in CS (Fall 2022 - Present)
  • Email: fahimdbolt@gmail.com

Greetings!!!

I am Syed Fahim Ahmed, graduate research assistant of University of Utah. I graduated in Computer Science from Ahsanullah University of Science & Technology (AUST), Dhaka, Bangladesh. After graduation, I was working as a Software Engineer at ILCT Research Institute Inc., Japan for 2 years. My primary research interest lies in Machine Learning Applications, NLP, Computer Vision, Visualization, Explainable AI, and Image Processing.

For additional information, please see my Resume and Publications.

Publication

2019

Syed Fahim Ahmed, Fairuz Shezuti Rahman, Tasmia Tabassum, Md. Tariqul Islam Bhuiyan, "3D U-Net: Fully Convolutional Neural Network for Automatic Brain Tumor Segmentation", International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 2019, DOI: 10.1109/ICCIT48885.2019.9038237

Resume

Objective

Syed Fahim Ahmed

An internship or research opportunity that will help me to further strengthen my problem-solving skills and attention to detail in the field of image analysis, machine learning.

  • Salt Lake City, Utah, USA
  • fahimdbolt@gmail.com

Education

PhD in Computer Science

Fall 2022 - Present

University of Utah, Salt Lake City, Utah, USA

B.Sc. in Computer Science & Engineering

June 2015 - July 2019

Ahsanullah University of Science & Technology, Dhaka, Bangladesh

Professional Experience

Software Engineer

April 2022 - May 2022

Rakuten Mobile Inc., Tokyo, Japan

  • Developed interactive web system to improve customer experience

Software Engineer

July 2020 - March 2022

ILCT Research Institute Inc., Fukuoka, Japan

  • Developed full-stack web applications across various platforms using latest industry-adopted technologies and frameworks
  • Integrated Computer Vision, Machine Learning and IoT to the developed projects to reduce COVID-19 risks.
  • Implemented SIP based technologies in server side, analyzed network protocols, and troubleshooted VoIP Phone System
  • Conducted web design workshops designed for high school students

Software Engineer

February 2020 - June 2020

Nelsite Inc. Ltd., Fukuoka, Japan

  • Built a full-stack web application to improve customer service performance by 10%
  • Utilized voice bio-metric system for automating hospital environment
  • Designed optimized database structure for faster data loading and fetching

Projects

Professional Projects [2020-Present]

  • VoIP Phone System:

    The IP phone system allows users make phone calls through your internet connection instead of a regular landline. The system provides advanced functions i.e priority call, attended transfer, absence transfer, secretary call, hotline, etc. to the users. Tools: Asterisk, Kamailio, Drachtio, Flexisip, PJSUA, Node.js.


  • Ohori Koen Kindergarten Management System:

    This web application was developed to manage daily activities of the children in the kindergarten. It assists both teachers and parents to check previous, current health of the children with user-friendly interfaces. Tools: Laravel, React, PostgreSQL.


  • Kyushu Corp. Attendance System:

    The structure is consisted of IoT-enabled real-time face recognition (FaceNet) system, IC card reading system, and a web server. The previous system was modified to reduce COVID-19 risks in the company. Tools: CodeIgniter, Bootstrap, Javascript, PostgreSQL, Python, OpenCV, TensorFlow, Vega3000, Vega5000, Raspberry Pi.


  • FAQ System:

    The web application can be integrated to industrial websites to enhance customer service administration. It assists customer service's person in charge with statistical data and provides customers with dynamic search option to find their desired QA. Tools: Laravel, Bootstrap, Javascript, Ajax, jQuery, Chart.js, MySQL.


  • Nursing Assistant System (Speaker Identification, Database):

    This system automate the working environment for the nurses in the hospital. I mainly contributed to the project by building speaker identification model using SincNet and designing a relational database. Tools: PyTorch, MySQL.


Undergraduate Projects[2015-2019]

  • Skin Disease Detection:

    The main goal of the project is to detect infectious external skin diseases using Digital Image Processing algorithm. Tools: MATLAB. [Code]


  • Diabetes Risk Prediction Based on Characteristics:

    This research finds out pattern risk and human traits in our university students' dataset applying Logistic Regression and K-mean Clustering. The patterns were presented in various charts. Tools: Python, Numpy, Panda, Matplotlib, Scikit-learn. [Code]


  • Pregnancy HealthCare 24/7:

    An android app to make the child-bearing time of pregnant women joyful and convenient. This app was first developed during a hackathon and secured 2nd prize in it. Tools: Android Studio, SQLite. [Code]


  • Home Security Management System:

    A high quality security system with camera surveillance, automatic lock, sensors to reduce risk of sudden accidents. Tools: Arduino.


  • Online Movie Ticket Reservation System:

    Networking Based Website. Tools: NetBeans, Languages: JSP, Java, HTML, CSS. [Code]


  • Old Middle Aged Animated House:

    WebGL Project. Tools: Notepad++, Blender, Languages: HTML, JavaScript. [Code]


  • University Student Management System:

    University Website. Tool: Microsoft Visual Studio, Languages: C#, HTML, CSS, JavaScript. [Code]


  • Football League Management System:

    DDBMS Project. Tool: Oracle Database, Languages: SQL, PL/SQL. [Code]


  • LaLigaBuzz:

    Football Website. Tool: Notepad++, Languages: HTML, CSS, JavaScript, PHP. [Code]


  • Shondhan 24/7:

    Emergency Service-Based Android Application.

Activities

Leadership Activities

  • Organizer and Host, AUST CSE WEEK 2018, Dhaka, Bangladesh.
  • School Representative of Connecting Classrooms (Dhaka Cluster - 01), British Council, Dhaka, Bangladesh.

Language Proficiency

Other Activities

  • Participated in BUP Techsurgence in Hackathon Category 2019, BUP, Dhaka, Bangladesh.
  • Participated in Mindsparks Project Showcasing in Software Category, 2019, Ahsanullah University of Science & Technology, Dhaka, Bangladesh.
  • Participated in BUP ICT FEST in Hackathon Category, 2018, BUP, Dhaka, Bangladesh.
  • Participated in UIU HackLab Contest, 2018, UIU, Dhaka, Bangladesh.
  • Participated in INNOVENTURE'17 in Software Category, Ahsanullah University of Science & Technology, Dhaka, Bangladesh.
  • Active Performer at AUST CSE FEST organized by CSE Department(2015, 2016, 2017, 2018), Ahsanullah University of Science & Technology, Dhaka, Bangladesh.
  • Participated in Intra Aust Programming Contests(2015, 2016, 2017), Ahsanullah University of Science & Technology, Dhaka, Bangladesh.

Awards

  • 1st Runner Up in hackathon category at BUP ICT Fest 2018, Dhaka, Bangladesh.
  • 2nd Runner Up in project display at national science festival 2012, Notre Dame College, Dhaka, Bangladesh.

Contact

Location:

Univeristy of Utah, Salt Lake City, Utah, USA

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