
Anisa Walida
Lecturer
Academic Qualification:
• Undergraduate B.Sc. in Computer Science and Engineering, Khulna University of Engineering and Technology, CGPA: 3.75
• HSC, Holy Cross College,GPA: 5.00
• SSC, Holy Cross Girls High School, GPA: 5.00
Academic Projects:
• Tax Consultant App: A Flutter-based Android app for connecting with and finding tax consultants.
• Bookish: An iOS app for book recommendations and reading tracking, developed using Swift.
• Museum Management System: A database management system developed using Oracle.
• Beauty Salon: A graphics-based project designed to showcase a virtual beauty salon environment using C++, OpenGL, and GLFW.
• Soft Drinks Can Detection: A Python-based project that detects Coke and Pepsi cans in an image using image processing techniques.
• Cardiac Recorder: An Android Studio project that keeps track of a patient’s blood pressure, pulse rate, and other information.
Professional Experience:
Lecturer, Department of Computer Science and Engineering, Bangladesh University. June 2026 – Present
Technical Skills:
• Programming Languages: C, C++, Java, Python, Swift, HTML, SQL
• Database: Oracle, Firebase
• Frameworks and SDKs: iOS, Android
• Others: Git, LaTeX, Adobe Illustrator, Adobe Photoshop
• Competitive Programming: Codeforces: Solved 185 problems
Scholarships and Awards:
• Dean’s Award, Faculty of Electrical and Electronic Engineering (EEE), KUET, for excellent results, 2020.
• Dean’s Award, Faculty of Electrical and Electronic Engineering (EEE), KUET, for excellent results, 2021.
• Dean’s Award, Faculty of Electrical and Electronic Engineering (EEE), KUET, for excellent results, 2022.
• Inter KUET Programming Contest 2022: 31st position.
• National Girls Programming Contest 2022: 72nd position.
Extracurricular Activities
• General Secretary, Dhrupodi Dancers Association of KUET
Organized many club programs and a national event, Dance Fest Season 6.
• Vice President, Hardware Acceleration Club of KUET (HACK)
Worked on many club events and designed logos and banners for competitions.
Language Proficiency:
• Proficient in Bangla and English.
Research Work
Thesis:
Unsupervised Bangla Speech to Text: An unsupervised speech-to-text model that works for a low-resource language like Bangla.