Shakil Ahmed_

MSc Student at Aarhus University

PHONE:: (+45) 71 62 95 10
EMAIL:: ahmed.shakil.v3@gmail.com
ADDRESS:: Skelagervej 3C, 8200 Aarhus N, Denmark
RESEARCHER ID:: ABH-8910-2020

Hello_

I am a motivated computer science graduate with profound understanding of programming languages and application frameworks. Currently, I am pursuing Master's Degree in Computer Science from Aarhus University, Denmark. Besides, I am actively contributing to research in several computer science domains and seeking PhD position.

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Enrolled Courses_

DEEP LEARNING FOR VISUAL RECOGNITION

Deep learning has always been a great passion of mine, and I regarded it as a fresh challenge and potential for advancement.

DATA VISUALIZATION

Data visualization is the science and practice of creating interactive graphical representations from data to support the data's exploration and presentation.

CRYPTOLOGY

The cryptology course is an introductory course where we cover some basic definitions of security and constructions of cryptosystems and authentication systems. We also cover some math and information theory that is necessary background information.

Resume_

EDUCATION

AARHUS UNIVERSITY, DENMARK

2024 - Current

Master of Science in Computer Science

AMERICAN INTERNATIONAL UNIVERSITY-BANGLADESH (AIUB)

2019 - 2021

Master of Science in Computer Science

Specialization: Intelligent Systems

CGPA: 4.00/4.00

AMERICAN INTERNATIONAL UNIVERSITY-BANGLADESH (AIUB)

2016 - 2019

Bachelor of Science in Computer Science

CGPA: 3.86/4.00

EMPLOYMENT

AARHUS UNIVERSITY

Jan' 2025 - Current

Teaching Assistant (Computer Architecture, Network and Operating Systems)

IT Garage

Mar' 2022 - Jul' 2024

Mobile Application Developer (Flutter)

Flutter - Cross-platform Mobile Application Development Project - Under ICT Division Bangladesh

AMERICAN INTERNATIONAL UNIVERSITY-BANGLADESH (AIUB)

Jun' 2019 - Sept' 2019

Teaching Assistant (JAVA LAB)

Publications_

Multicriteria Decision Analysis for Optimal Internet Service Provider Selection Using Calibrated Random Forest

Cite this: M. Mazid-Ul-Haque, S. Ahmed, R. S. Aftab, M. S. U. Miah, W. Akanda and A. Bhowmik, "Multicriteria Decision Analysis for Optimal Internet Service Provider Selection Using Calibrated Random Forest," 2024 Asian Conference on Communication and Networks (ASIANComNet), Bangkok, Thailand, 2024, pp. 1-6, doi: 10.1109/ASIANComNet63184.2024.10811091.

DOI: 10.1109/ASIANComNet63184.2024.10811091

Att-BiL-SL: Attention-Based Bi-LSTM and Sequential LSTM for Describing Video in the Textual Formation

Cite this: Ahmed, S.; Saif, A.F.M.S.; Hanif, M.I.; Shakil, M.M.N.; Jaman, M.M.; Haque, M.M.U.; Shawkat, S.B.; Hasan, J.; Sonok, B.S.; Rahman, F.; Sabbir, H.M. Att-BiL-SL: Attention-Based Bi-LSTM and Sequential LSTM for Describing Video in the Textual Formation. Appl. Sci. 2022, 12, 317. https://doi.org/10.3390/app12010317. [Q2, IF: 2.838]

USED STACK:

Python
CNN
RNN
TensorFlow

DOI: https://doi.org/10.3390/app12010317

Anti-Molestation: An IoT based Device for Women's Self-Security System to Avoid Unlawful Activities

Cite this: Md. Imtiaz Hanif, Shakil Ahmed, Wahiduzzaman Akanda and Shohag Barman, “Anti-Molestation: An IoT based Device for Women’s Self-Security System to Avoid Unlawful Activities” International Journal of Advanced Computer Science and Applications(IJACSA), 11(11), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111188

USED STACK:

Arduino Pro-Mini
SIM800L Module
Panic Button
Microphone
Resistance
Speaker
3.7V Battery

DOI: 10.14569/IJACSA.2020.0111188

An Observation of Vision Based Underwater Object Detection and Tracking

Cite this: S. Ahmed, M. F. R. Khan, M. F. A. Labib and A. E. Chowdhury, "An Observation of Vision Based Underwater Object Detection and Tracking," 2020 3rd International Conference on Emerging Technologies in Computer Engineering: Machine Learning and Internet of Things (ICETCE), 2020, pp. 117-122, doi: 10.1109/ICETCE48199.2020.9091752.

USED STACK:

Python
CV Module
Edge Detection

DOI: 10.1109/ICETCE48199.2020.9091752

UPCOMING RESEARCH

Title: Video Summarization in Textual Formation: A Parallelism Survey of Methods, Frameworks, Results and Future Agenda

The survey mostly focuses on the most recent visual captioning researches from 2016 to 2022. However, our overview shows that regardless of the quick-moving turns of events, visual captioning research work is as yet at its outset because of the difficulties of analyzing visual descriptions as well as accuracy and faults of the visual structures and the obtained language. Lastly, we finish up our review by posting promising future directions.

Latest News:

Title: Working on a Medical Image Captioning.

Captioning medical photos in natural language gives visual information about medical imaging. To recognize and assess the similarity between visual and textual elements and to create a series of output words, an efficient technique is required.

Skills_

PROGRAMMING LANGUAGES

PYTHON

80%

DART

80%

JAVA

60%

C++

60%

ML & MOBILE APP FRAMEWORKS

TensorFlow

70%

Pytorch

40%

Scikit-Learn

70%

Flutter

80%

Achivements_

October 10, 2021

SUMMA CUM LAUDE

The award is given to the student who fulfill the following criteria according to AIUB policy. The student should have CGPA of 3.95 to 4.00 out of 4.0, no grade lower than B, No I, W, UW, F, No Retake, no dropping, must be a regular student, no break in the period of study at AIUB.

January 26, 2020

MAGNA CUM LAUDE

The award is given to the student who fulfill the following criteria according to AIUB policy. The student should have CGPA of 3.80 to 3.94 out of 4.0, no grade lower than B, No I, W, UW, F, No Retake, no dropping, must be a regular student, no break in the period of study at AIUB.

December 1, 2019

1st RUNNER UP [CS-FEST, 2018]

In 2018, CS-FEST organized by AIUB. We (Group: Vector 3) participated in the Application Showcasing (Desktop). We developed a game using godot (a cross-platform 2D/3D game engine). After the successful presentation we had secured the 1st Runner-up position.

December 20, 2017

DEAN'S LIST HONOR

The award is given to the student who fulfill the following criteria according to AIUB policy. The student should have CGPA of 3.75 to 4.00 out of 4.0, no grade lower than B, No I, W, UW, F, No Retake, no dropping, must be a regular student, no break in the period of study at AIUB.