بسم الله الرحمن الرحيم
Dr. AHMAD AL-OMARI
Associate Professor (with Tenure)
since Jan. 2020 and Erasmus+ certified trainer. He is an IEEE,EMBS and CIS Senior Member. Became the first
Jordanian Nvidia Deep Learning Institute (DLI) Certified Instructor and
DLI University Ambassador in April 2020. He received a B.Sc. degree in Electrical and Computer Engineering from Yarmouk University, Irbid, Jordan, in
2004. He was a teaching assistant and a lab engineer with the
Department of Electrical and Computer Engineering, at Yarmouk University
(YU), from 2004 to 2010. He was involved in more than 30 different projects on
computers, communication, and electronic engineering. He received a grant of
over $150,000 from YU to pursue a Ph.D. degree in Bioinformatics and in
the same theme, he received a Teaching Assistant grant of over $133,000 from
The University of Georgia (UGA)/USA, which is considered the oldest public
university in the US and one of the biggest and the topmost ranked university
as well. Dr. Al-Omari was a member of Professor Jonathan Arnold's research
group with the University of Georgia, Athens, GA, USA, on systems biology
and genetic networks.
Dr. Al-Omari focuses on the
complex dynamics and regulatory mechanisms of the biological clock in
Neurospora crassa and encompasses a wide range of topics and methodologies,
demonstrating his expertise in machine learning, deep learning, big
data, numerical methods, circadian rhythms, computational modeling, and
parallel computing. revealing the complex interactions among genes and proteins
involved in circadian rhythms and providing insights into the fundamental
regulatory mechanisms underpinning the biological clock. Additionally, I
possess extensive knowledge and proficiency in machine learning and deep
learning techniques and apply these cutting-edge techniques in the fields of
bioinformatics, biomedical informatics, and health informatics to tackle complex
problems and extract valuable insights from large-scale biological and
healthcare data. By leveraging machine learning and deep learning algorithms,
my contribution develops predictive models, pattern recognition systems, and
data-driven approaches that enable precise analysis, interpretation, and
decision-making in these interdisciplinary domains. My research bridges the gap
between computational biology and informatics, paving the way for innovative
applications in precision medicine, disease diagnostics, and personalized
healthcare and medicine.
Dr. Al-Omari was a teaching assistant for graduate-level courses in the
Bioinformatics program at UGA. He also taught an advanced programming course,
BINF 6003, titled “A Practical Advanced Programming Course/C++ Object Oriented
Design and GPU/CUDA” during the summer term of 2014. Moreover, was an
instructor for the CUDA teaching center at the UGA.
Dr. Al-Omari is a grant proposal
writer and has numerous published papers and posters in bioinformatics, numerical methods,
and parallel algorithms on GPGPUs. For his high contribution and collaboration he has Erados # of 2 and he is the editor member of PLOS ONE Journal and Applied Computational Intelligence and Soft Computing. He participated in 5 international conferences that
are related to his field. He received a grant from Nvidia company
including that 1) Yarmouk University has been selected as a GPU Education
Center around the world. 2) GPU teaching kit consisting of (10) books, one
Tesla K40 {active}, and two Titan X GPUs 3) $2500.The total
amount of money is $13000.
He is considered to be the first Bioinformatician getting a Ph.D.
in Bioinformatics in Jordan.
He was an assistant professor and a researcher at YU from 2015 to 2020.
His current research interests include parallel computation, systems biology,
finite elements method, machine learning and pattern recognition, biological
circuits and gene networks, and numerical analysis.
Loves his parents, family, job, and country, in addition to books and
nature.
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