MIST Applications

Department of Computer Science & Engineering (CSE)

Syed Nafees Kaiser

Lecturer, Department of Computer Science & Engineering (CSE)

Room No: 315, 3rd Floor, Faculty of Electrical & Computer Engineering (FECE) Tower – 3, MIST.

Mirpur Cantonment, Dhaka-1216, Bangladesh.

PROFESSIONAL EXPERIENCE

  • Industrial Attachment Trainee, Dynamic Solution Innovators

Duration: February 2024 – March 2024

  • Faculty Member, Department of CSE, Military Institute of Science & Technology (MIST), Mirpur Cantonment, Dhaka -1216, Bangladesh

ACADEMIC EXPERIENCE

  • B.Sc. in Computer Science and Engineering (4 years)
    • Military Institute of Science & Technology

AWARDS/ HONORS

  • Achieved Dean’s List honors in the First, Second, Third, and Final year of B.Sc

ACADEMIC PROJECTS

  • Dysarthria Speech Disorder Detection:  A deep learning-based system designed to diagnose speech patterns associated with Dysarthria, a motor speech disorder, by analyzing audio input for early and accurate detection.
  • Bengali Hate Speech Detection: An attention-based Recurrent Neural Network model to detect Bangla hate speech on social media platforms.
  • TasteVenture: A mobile app that offers personalized restaurant and tourist spot recommendations, with features for reservations and advance bookings.
  • Heritage Craft Connect: A web-based platform to empower rural artisans by providing a space to showcase and sell their crafts, enabling users to discover and purchase authentic handmade products.
  • Sheba-AI-based Medical Assistant: A Figma prototype for a health app offering personalized diet plans, doctor suggestions, and meditation tips based on users’ medical reports.
  • Pharmacy Management System: A location-based database system for purchasing medicine and essentials from nearby pharmacies.
  • Hospital Management System: A software application that enables users to schedule appointments, view doctors’ availability, and reserve hospital beds.

NON-ACADEMIC PROJECTS

  • Reader’s Path: A website for personalized book recommendations, reading progress tracking, shelf management, and book promotion.  
  • QuickNotes: A note-taking website with customizable colors, folder organization, and color-coded folders for enhanced usability and visual appeal.
  • Ekhonni: A dynamic website enabling users to participate in real-time bidding for a wide range of products, with features to place competitive bids, track live auctions, and secure desired items through an interactive experience.

RESEARCH INTERESTS

Research Domain: Computer Vision, Natural Language Processing, Artificial Intelligence, Machine Learning, Human-Computer Interaction.

TECHNICAL SKILLS

Programming Language C/C++, Python, Java, JavaScript, Flutter

Database Oracle, MongoDB, MySQL, PostgreSQL

Tools  Android Studio, Google Collab, Visual Studio, CodeBlocks, MATLAB, JetBrains, Eclipse, Git, Github

Simulator Cisco Packet Tracer, Circuit Maker

Scripting & Modelling HTML, Shell Script, LATEX

Graphics OpenGL, Blender

TEACHING EXPERIENCE

Sessional Courses:

  1. CSE 204: Data Structures and Algorithms I Sessional
  2. CSE 304: Compiler Sessional
  3. CSE 308: Operating System Sessional
  4. CSE 318: Data Communication Sessional