Advanced Machine Learning Lab

Today at 9.30 PM.

Two high-profile researchers will join with Dr. Muhammad Firoz Mridha Sir.

https://meet.google.com/fdt-zpeu-mrb

"I believe in innovation and that the way you get innovation is you fund research and you learn the basic facts."
- Bill Gates

Hello BUBTians.
Do you know about research and innovation?
Do you want to be a researcher?

BUBT Advanced Machine Learning Lab is going to start a new batch for the upcoming researchers. If you want to be a researcher, AML Lab is looking for you.

Artificial Intelligence (AI) is a key driver of the Fourth Industrial Revolution. As rapid advances in machine learning (ML) increase the scope and scale of AI’s deployment across all aspects of daily life, and as the technology can learn and change on its own, multi stakeholder collaboration is required to optimize accountability, transparency, privacy and impartiality to create trust.

The Advanced Machine Learning (AML) lab seeks to play a critical role in moving BUBT toward research-based education in accordance with worldwide standards. We hope to demonstrate intelligent systems capable of resolving real-world difficulties. We are implementing Deep Learning algorithms, which are a new domain of Machine Learning that are pushing us closer to the ideal goals of modern invention.

On the occasion of opening a new batch, BUBT Advanced Machine Learning(AML) Lab is going to organize a webinar on "Benefits of doing fundamental research: and How?".

Chair:
Dr. M. Firoz Mridha
Associate Professor & Chairman,
Department of Computer Science and Engineering(CSE),
Bangladesh University of Business and Technology(BUBT)

Keynote speakers:
1 . Dr. Md. Abdul Hamid
Professor,
Department of Information Technology,
King Abdulaziz University,
Jeddah, KSA.

2 . Dr. Muhammad Mostafa Monowar
Associate Professor,
Department of Information Technology,
King Abdulaziz University,
Jeddah, KSA

Topic: Benefits of doing fundamental research: and How?
Date: 2 November, 2021.
Time: 09:30 PM.

To join the the new batch of BUBT AML lab and the webinar, fill-up the form:
https://forms.gle/vSe2FPqEtEc7EK6P7

Today at 10.30 PM.

Video call link: https://meet.google.com/yvy-mnxp-byk

The recent success of AML lab:

Two papers are accepted in ICSCT 2021 Conference.

Conference: International Conference on Science and Contemporary Technologies (ICSCT) 2021, Bangladesh

SUBMISSION: 244
TITLE: Facial Expression Recognition Using CNN-LSTM Approach
AUTHORS: Md. Mohsin Kabir, Tanvir Ahmed Anik, Md. Shahnewaz Abid, M. F. Mridha and Md. Abdul Hamid

SUBMISSION: 69
Title of the paper: A Survey on Bengali Image Captioning:
Architectures, Challenges, and Directions.
Authors: Shamima Sukhi, Abu Quwsar Ohi, M.F. Mridha, Saifur Rahman.

Two more papers are accepted at BIM 2021 conference.

Conference: International Conference on Big Data, IoT and Machine Learning (BIM 2021), Bangladesh

Paper ID: 1140
Author(s): Md. Mohsin Kabir, Aklima Akter Lima, M. F. Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar
Title: Forecasting Closing Price of Stock Market Using LSTM Network: An Analysis from the Perspective of Dhaka Stock Exchange

Paper ID: 1137
Author(s): Aklima Akter Lima, Md. Mohsin Kabir, Sujoy Chandra Das, Md. Nahid Hasan, M. F. Mridha
Title: Road Sign Detection Using Variants of YOLO and R-CNN: An Analysis from the Perspective of Bangladesh

Lastly, one paper is accepted in IVPR 2021

Conference: 5th International Conference on Imaging, Vision & Pattern Recognition (IVPR), Japan

Paper ID: 111
Paper Title: CNN-NSVM Architecture for Skin Lesion Classification Using Non-Dermoscopic Digital Image
Authors: Md. Mohsin Kabir, Parisa Mehera, Aloke Kumar Saha, M. F. Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar

Another Q1 journal publication from AML lab.
The paper, 'Deep Speaker Recognition: Process, Progress, and Challenges' is accepted in IEEE ACCESS (Impact factor 3.745).

Authors: Abu Quwsar Ohi; M. F. Mridha; Md. Abdul Hamid; Muhammad Mostafa Monowar

Deep Speaker Recognition: Process, Progress, and Challenges Speaker recognition is related to human biometrics dealing with the identification of speakers from their speech. Speaker recognition is an active research area and being widely investigated using artificially intelligent mechanisms. Though speaker recognition systems were previously constructed usi...

One more big success for the Advanced Machine Learning lab. A research article is accepted in the high indexed Journal, “IEEE Access (Ranked-Q1)” of a research team of Advanced Machine Learning (AML) lab, BUBT. The H-INDEX of the Journal is 127, and the impact factor is 3.745.

Title of the article: A Survey of Speaker Recognition: Fundamental Theories, Recognition Methods, and Opportunities.

Authors: Md. Mohsin Kabir, M. F. Mridha, Jungpil Shin, Israt Jahan, Abu Quwsar Ohi.

Congratulations to all authors.

A Survey of Speaker Recognition: Fundamental Theories, Recognition Methods and Opportunities Humans can identify a speaker by listening to their voice, over the telephone, or on any digital devices. Acquiring this congenital human competency, authentication technologies based on voice biometrics, such as automatic speaker recognition (ASR), have been introduced. An ASR recognizes speakers b...

Deadline approaching (4 days to go)
Submit your scientific research papers in ICSCT-2021
https://icsct.bubt.edu.bd/

Tonight at 7.15 PM.

Topic: Webinar on Research Paper Writing and Editing

Please click the link below to join the webinar:
https://bdren.zoom.us/j/63553719569