Prof. Ahmad Al-Omari is a tenured professor of bioinformatics. He is an ABET EAC/BMES Program Evaluator (PEV), NVIDIA DLI certified instructor, an Erasmus+ certified trainer, a senior member of IEEE, EMBS, and CIS, and a PLOS ONE and ACISC Journals Editorial Board member. In April 2020, he became the first Jordanian to be certified as an Nvidia Deep Learning Institute (DLI) Instructor and DLI University Ambassador. Prof. Al-Omari is also a judge for the QS Reimagine Education Awards.
He earned his B.Sc. in Electrical and Computer Engineering from Yarmouk University (YU), Irbid, Jordan, in 2004. From 2004 to 2010, he served as a teaching assistant and lab engineer in the Department of Electrical and Computer Engineering at YU, where he contributed to over 30 projects in computers, communication, and electronic engineering. Dr. Al-Omari was awarded a grant exceeding $150,000 from YU to pursue a Ph.D. in bioinformatics. He also received a teaching assistant grant worth over $133,000 from the University of Georgia (UGA), USA—recognized as the oldest public university in the United States and one of its top-ranked institutions. At UGA, he was a member of Professor Jonathan Arnold's research group, focusing on systems biology and genetic networks.
Dr. Al-Omari's research centers on the complex dynamics and regulatory mechanisms of the biological clock in Neurospora crassa, employing a diverse array of topics and methodologies. His expertise spans machine learning, deep learning, big data, numerical methods, circadian rhythms, computational modeling, and parallel computing. His work elucidates the complex interactions among genes and proteins involved in circadian rhythms, providing insights into the fundamental regulatory mechanisms of the biological clock. He possesses extensive knowledge in machine learning and deep learning techniques, applying these advanced methods in bioinformatics, biomedical informatics, and health informatics to solve complex problems and derive valuable insights from large-scale biological and healthcare data. His contributions include developing predictive models, pattern recognition systems, and data-driven approaches that facilitate precise analysis, interpretation, and decision-making in these interdisciplinary fields. His research bridges computational biology and informatics, fostering innovative applications in precision medicine, disease diagnostics, and personalized healthcare.
Dr. Al-Omari has also taught graduate-level courses in bioinformatics at UGA, including the advanced programming course BINF 6003, "A Practical Advanced Programming Course/C++ Object-Oriented Design and GPU/CUDA," in the summer term of 2014. He served as an instructor for the CUDA teaching center at UGA.
As a grant proposal writer, Dr. Al-Omari has numerous published papers and posters in bioinformatics, numerical methods, and parallel algorithms on GPGPUs. For his significant contributions and collaborations, he has an Erdős number of 2. He is an editorial board member of the PLOS ONE Journal and Applied Computational Intelligence and Soft Computing. He has participated in five international conferences related to his field. He secured a grant from Nvidia, leading Yarmouk University to be selected as a GPU Education Center. The grant included a GPU teaching kit with 10 books, one Tesla K40 (active), two Titan X GPUs, and $2,500, totaling $13,000.
Dr. Al-Omari is recognized as the first bioinformatician in Jordan to earn a Ph.D. in bioinformatics. From 2015 to 2020, he was an assistant professor and researcher at YU. His current research interests include parallel computation, systems biology, finite element methods, 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.
Recent News
Dr. Al-Omari has become QS Reimagine Education Award-Judge ,effective August 20, 2024.
Dr. Al-Omari has been promoted to Full Professor of Bioinformatics,effective August 19, 2024.
Dr. Al-Omari is an ABET EAC/BMES Program Evaluator (PEV) , effective August 13, 2024.
Dr. Al-Omari has been appointed as Vice President of the EMBS Jordan Chapter, effective January 1, 2024.
Dr. Al-Omari has been elevated to IEEE and EMBS Senior Member 10/11/2023
Dr. Al-Omari has been granted $14265 to find anticancer and antimacrobial peptides using deeplearning 8/13/2023
Dr. Al-Omari is the editor member of Applied Computational Intelligence and SoftComputing Journal 8/3/2023
Dr. Al-Omari is the editor member of PLOS ONE 6/21/2023
Dr. Al-Omari has been invited to join Prof. Arnold researcher group at UGA 6/20/2023
Dr. Al-Omari is the Head of Biomedical Systems and Informatics Eng. Dept 9/10/2021
Al-Omari has received a grant of $10000 from the Scientific Research and Graduate Studies at YU to Design a Novel Antifungal Peptides: exploiting Machine Learning (ML). 12/20/2020
Dr. Al-Omari selected as Assistant Dean for Research & Graduate Studies:https://www.yu.edu.jo/index.php/news-events/newscen-m/2842-2020-10-01-06-31-41 9/27/2020
Dr. Al-Omari became NVIDIA Deep Learning Institute (DLI) Certified Instructor 4/1/2020
Dr. Al-Omari has been granetd NVIDIA Deep Learning Institute (DLI) University Ambassadorship:https://www.nvidia.com/en-us/deep-learning-ai/education/ 4/1/2020
Dr. Al-Omari has been promoted to Associate Professor https://www.yu.edu.jo/index.php/news-ar/2157-2020-01-22-09-17-22 1/20/2020
Al-Omari has been mentioned on the institute of Bioinformatics website at the University of Georgia-USA: https://iob.uga.edu/2018/01/10/ahmad-al-omari-bioinformatics-phd-15-featured-in-georgia-magazine/ 2/11/2018
Al-Omari is the Editor Member in the Gavin Publishers journal: https://gavinpublishers.com/journals/board_members/computer-science-and-systems-biology-an-open-access.html 2/11/2018
Al-Omari has received a grant of $4300 from the Scientific Research and Graduate Studies at YU to Simulate Genetic Toggle Switch using RLC Electrical Circuit 12/21/2017
In page 41. The University of Georgia Magazine has selected Dr. Al-Omari to write about him from among the whole alumni graduate students: https://ugamagazine.uga.edu/issue/Winter-2017 12/13/2017
Al-Omari has been granted a training for international project management by Erasmus +-EUnit (Spian, France, Italy) 5/21/2017
Al-Omari has established a Parallel Computation Incubator uses GPGPUs k40 in the Al-Hijjawi College of Engineering with a staff of 8 Biomedical Informatics Engineers:https://eic.yu.edu.jo/index.php/depts/parallel-processing 11/11/2016
اليرموك تنفرد عربيا بطرح تخصص ذو مجالات وظيفية متعددة https://www.yu.edu.jo/index.php/news-ar/1491-2019-07-31-08-24-31 9/28/2016
"اليرموك مركز عالمي لتعليم لغة البرمجة المتوازية CUDA" http://yunn.yu.edu.jo/index.php?option=com_content&view=article&id=6798:-cuda&catid=1:yu-news&Itemid=114 2/1/2016
Al-Omari has received a grant from Nvidia company to set up Yarmouk University as a CUDA Education center 1/1/2016
Al-Omari Defended his Ph.D. Dissertation Successfully: http://iob.uga.edu/news/ahmad-al-omari-successfully-defends-dissertation/ 5/8/2015
Al-Omari has been granted a second year of teaching assistantship at UGA. 7/1/2014
I have mentored and supervised
*Master Thesis Projects
A- On going projects
1- Personalized Platelet Transfusion in Oncology Enabled by Deep Learning. Laith aktham aljararwah
2- Risk Assessment of Children with Cancer Presenting with Fever to the ER Using Large Language Models (LLMs) Guided by Medical Protocols.Ruba Mohammad Al Zyood
3- RADIOLOGY REPORT GENERATION USING LARGE LANGUAGE MODEL. Dana Faris Abu Gazleh
B- Completed
1- Parallel Implementation of Cut Sort Algorithm for Motif Finding in DNA Sequences Using CUDA. Aseel Saleh Hussein Al-Omary
2- Parallelizing and Optimizing the Indexing-Tree Based Algorithm for Motif Finding on GPUs Platform. Ala’a Waleed Klaib Obeidat
*CapstoneProjects
1- Diabetic Retinopathy Using Transfer Learning And GUI. Aya Mahmmoud Quraan, Alaa Khaled Quraan, Malik Abu Nabhan
2- Motif finding with Gibbs sampling. Akram Ayman Abu-shmais, Ghadeer Ghazi Migdady
3- Patient Disease Diagnosis and Medication. Eman Jamal AL-Amayrh, Esraa Wasfi Obeidat
4- Epileptic Seizure Recognition. Ruaa Al.Dmour, Manar Al.Dabaibeh,Thekra Al.Hawarneh,Sara Al.asmi
5- Exploiting Personalized Medicine for Keratoconus Genes. Noor Alqasem, Rahaf Naim
6- SKIN CANCER PREDICTION USING CNN, Ahmad O. I. Alshaikheid
7- 3D Protein Structure Classification Using Deep Learning. Essraa Negresh, Dema Ashour, Khansaa Khalil
8- Predicting Death from Breast Cancer Using Machine Learning & Neural Network Models. Aeda Rababah, Rawan Abu Shana’a, Rania Al-Shorman
9- AI-Powered Lung Cancer Detection. Mariam Al-Sheikh Qasem, Loseen Al-Dumiaty
10- Predicting DNA Binding Sites Using PSSM And CNN. Rania Titi, Baraa Niji, Lana Alkhahateeb
11- Deep Learning-Powered Convolutional Neural Networks for Alzheimer's Disease Prediction. Zaina Al-Khalafat, Mohammad Al-Zoubi
12- Exons & Introns Prediction. Dana Harahsheh, Malak AL-Mommani, Rasha Rawashdeh
13- Finding Regularity Motifs of Genetics Networks Using Cut-Sort Algorithm. Somaya Salih Sharqawi, Heba Omar Falah 2015978034
14- Motif Finding. Shaymaa Husein Younis,Amarh Ayman Abusohuon
15- Disease and Drug Classification: NLP-Trained and Pre-Trained Models. Amal Hussein Al-Hadeares, Madlen Yaseer Mhasees
16- Computerizing Medical Documents. Rashid bakhet AL-dabbas, Nour Alrahman Rihan Keelani, Maha Yousef Alnserat
17- Drug Review Using Natural Language Processing(NLP). Waed Mahmoud Al-Hammouri, Sondus Mohammad Jawarneh, Ayah Ahmad Al-Samameh
18- Ultrasound Bone Densitometer. Rudaina Omar Adawi, Muna Niazi Tuffaha, Mojaheda Suleiman Bany_Ismael
19- Classifying White Blood Cell Images using Deep Learning. Hebe Al-jamal, Toqa Khasawneh
20- RNA secondary structure predictions using Nussinov algorithm.Lubna Habis Bakkar, Bara' Abd Al-mon'em Alrefa'i, Safa' Khaled Khloof
21- Coronary Artery Disease Diagnosis using Machine Learning and Support Vector Machine. Esraa Amaireh, Salsabeel Al-assem, Sumayah Bani-Younes
22- HL7 Web Application. Haneen Al-Jawarneh, Farah Al-Sharief,Sara awadallah
23- COVID-19: A Comprehensive Bioinformatics Analysis. Rania Aljammal, Esra'a Alqura'an, Farah Bawa'neh, Asma'a Alkarrad
24- Neural Network: Predicting Breast Cancer patients’ state. Toqa Bany-Yassen, Namaa Alqudah, Dunia Alshraideh, Yomna Alazzam
25- Expert Web Application for Genetic Disorder Center. Salsabeel Shehabat, Rand Ma’aroof
26- C.ALBICAN Drug Detection. Sami Harbi Husainat, Ammar Abedalqader Ababneh, Oqla Tareq Alrefai
27- DICOM viewer. Sara Tubaishat, Amjaad Otoom
28- DETECT MORE MEMBERS OF THE GENE FAMILY USING THE PROFILE-HMM AND FORWARD ALGORITHM
[SHORT SEQUENCE]. Abdurrahman Abdullah Bakhashab, Tamador Mahmoud Omari, Salam Ali Abdullah, Hadeel Hamza Abuqran
29- Hospital System. Eman Mahmoud Bani Ismaeel, Amany Abd-alqader Frehat, Rua’a Nedal Jadori
30- Hidden Markov Model analysis for cancer trend and progression. Amneh Ghanem, Doa'a Al-hiwat, Donya Al-asmar
31- Biological Clock Hardware Simulation Possibility. Mohammed Mahboubeh, Rawan Al-Refaie
32- Skin Cancer Prediction Using Convolutional Neural Network. Raneem H. Al-Momani, Yaqeen A. Al-Khreisat
33- Early Lung Cancer Prediction Using Lifestyle Indicators and Neural Networks. Rama Alfaris, Thoraia Alsedawi, Batool Alshatnawi
34- Chou Fasman Application. Farah AL-alaween, Ala'a AL-ayasrah 2013978046
35- Prediction Asthma Based on Shortness of Breath. Amal alkhatatbeh, Raghad Alabedalqadr
36- Breast Cancer Detection Using Learning Techniques: Neural Networks and Random Forest . Najeeb Al Houani,Merry Al Rabadi