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Fuad Rahman: Fuad Rahman, Ph.D., is an academician and
entrepreneur, known for founding Apurba Technologies, a company
specializing in machine learning applications. He also holds the
position of Adjunct Professor at the Department of Biomedical
Engineering (BME) at the University of Arizona, which focuses on
interdisciplinary research at the intersection of computer vision,
medicine, and engineering. This position is aimed to enhance the
exchange of information and ideas between academia and industry,
facilitating research collaborations, and developing funding
opportunities. Apurba Technologies is very active in the computerization
of Bangla - the seventh most popular language by a number of speakers
but unfortunately a low-resource language because of a lack of research
and commercial solutions in this language. Apurba is currently building
the first-ever commercial Bangla OCR and a screen reader system for
computer and mobile platforms that will produce output speeches in
Bangla language under a contract from the Information and Communication
Technology Division of the Ministry of Posts, Telecommunications, and
Information Technology of the Government of Bangladesh.
Fuad has published widely in scientific journals. His published body of
work comprises over 100 technical peer-reviewed articles in the
scientific literature including 6 book chapters and 30 journal papers.
He has worked on the editorial boards of technical journals, acted as a
referee to many journals, and worked as a technical committee member at
many international conferences.
Email:
fuad@apurbatech.com
Website:
apurbatech.com
Syed Akhter Hossain: Dr. Syed Akhter Hossain is an
esteemed figure in the realm of computer science and engineering, with a
long history of making substantial contributions to education, research,
and industry in Bangladesh. Presently, he holds the position of the Dean
of the Faculty of Science and Information Technologies at Daffodil
International University. During his tenure, he made remarkable strides
in enhancing the department's reputation in areas like Natural Language
Processing (NLP) and other research domains. Dr. Hossain has been
actively involved in research and has an impressive record of more than
250 published papers and presentations. His work has received
recognition and acknowledgment from reputable research databases such as
ACM, DBLP, and IEEE Xplore. Moreover, he has played a pivotal role in
guiding various research projects and establishing productive
collaborations with different institutes and industries. He received the
prestigious Best Professor of IT Award from Singapore in 2012 and the
National ICT Award in 2016 for his exceptional dedication to ICT
education. One of his notable accomplishments includes his work on
developing a machine translator for Bangla Braille, significantly
benefiting the visually impaired society and garnering international
acclaim for its impact and significance. Through his unwavering
dedication and remarkable achievements, Dr. Hossain has played a crucial
role in shaping the future of technology and education in Bangladesh,
leaving a lasting impact on the nation's academic and technological
landscape.
Email:
deanfsit@daffodilvarsity.edu.bd
Website:
https://faculty.daffodilvarsity.edu.bd/profile/swe/akhter.html
Sheikh Abujar: Sheikh Abujar is a prominent researcher
with a focus on deep learning, computer vision, and speech recognition
applications. Currently affiliated with the Knowledge Discovery and Data
Mining Research Lab (KDDM) at The University of Alabama at Birmingham
(UAB), his work seeks to push the boundaries of artificial intelligence.
Alongside his research commitments, Abujar holds a faculty position in
the Department of Computer Science and Engineering at Independent
University, Bangladesh (IUB). His expertise is reflected in numerous
publications in esteemed Scopus Indexed proceedings of IEEE, Springer,
and Elsevier, establishing him as a respected authority in the field.
Under his mentorship, many of his students' research projects have
achieved accolades, winning the "Best Research Paper - Award" at
prestigious international conferences.
Recognizing the need for nurturing innovation, Abujar founded and
supervised the Computational Intelligence LAB (CI LAB) and DIU - NLP and
Machine Learning Research LAB. His leadership has driven significant
contributions to computational intelligence, resulting in the creation
of two vital low-resource language datasets - Bayanno (Bangla Speech
Dataset) and IsharaLipi (Bangla Sign Language Dataset).
Email:
sabujar@uab.edu
Website:
https://sites.google.com/site/iamabujarsheikh
AKM Shahariar Azad Rabby: Shahariar Rabby is a
distinguished professional whose passion for artificial intelligence has
driven his impressive career in computer science and engineering.
Currently, Rabby serves as a researcher at the esteemed UAB Lung Imaging
Lab at the University of Alabama at Birmingham, where he contributes to
cutting-edge advancements in AI technology. Also, Rabby is the team lead
(Machine Learning) at Apurba Technologies, where he leads various
projects related to OCR, Document Analyses, Low-Resource Language
Vision, and more.
One of his significant accomplishments is the development of "Ekush,"
the largest Bangla handwritten dataset, which has earned numerous
national and international accolades including multiple best research
awards. Shahariar also co-founded and supervised the Computational
Intelligence LAB (CI LAB) and DIU - NLP and Machine Learning Research
LAB. Shahariar's dedication to research is evident through his
publications on diverse subjects such as OCR, Healthcare, Agriculture,
Education, and Natural Language Processing (NLP). Being a Machine
learning enthusiast, he enjoys bridging the gap between engineering and
AI — combining his technical knowledge with his keen heart for mankind
to create intelligent products.
Email:
arabby@uab.edu
Website:
rabby.dev
Muntaser Syed: Muntaser Syed is a GPU Developer
Advocate at NVIDIA. He is the technical lead for the Open Hackathons
team at NVIDIA which is also part of the OpenACC Organization; where his
focus is accelerating and porting cutting-edge research projects on
supercomputing clusters around the world. Muntaser is also a Ph.D.
scholar with research interests in machine learning on edge devices,
natural language processing, and speech recognition. His previous work
includes cutting-edge research into UAV control and navigation systems,
low-altitude unmanned aerial vehicle fleet management, and distributed
access control systems. Muntaser has been involved in authoring the
Federal Aviation Agency's LAANC program in its first and second
iterations.
Email:
muntasers@nvidia.com
Website:
in/muntasersyed