Professional Summary
Dr. Basheer Qolomany is an interdisciplinary researcher with network science, evolutionary computation, and artificial intelligence expertise. He leverages AI technologies such as natural language processing, machine learning, deep learning, graph representation learning, swarm intelligence, and big data analytics to advance smart services, cybersecurity, and population health initiatives. Dr. Qolomany's research is driven by a passion for solving complex problems using large, heterogeneous data streams from diverse sources such as news feeds and social media, public health records, clinical health data, genome sequencing, IoT data, wearable data, and digital health tools. He aims to predict, detect, diagnose, and intervene in healthcare issues by integrating and analyzing these varied data sources, along with advancements in cybersecurity and smart services. Dr. Qolomany has gained broad academic experience through various roles at various institutions, including the University of Cincinnati, the University of Nebraska, Kennesaw State University, Western Michigan University, and the University of Duhok.
Education
Ph.D. in Computer Science: Western Michigan University, Kalamazoo, MI, USA, 2018
Master of Science in Computer Science: Western Michigan University, Kalamazoo, MI, USA, 2018
Master of Science in Computer Science: University of Mosul, Mosul city, Iraq, 2011
Bachelor of Science in Computer Science: University of Mosul, Mosul city, Iraq, 2008
Positions and Work Experience
08-2019 -08-2024 Assistant Professor , Department of Cyber Systems, University of Nebraska, Kearney, NE USA
08-2018 -08-2019 Visiting Assistant Professor, Department of Computer Science , Kennesaw State University, Marietta, GA, USA
01-2016 -08-2018 Research Assistant (RA) & Teaching Assistant (TA), Department of Computer Science., Western Michigan University, Kalamazoo, MI, USA.
04-2011 -12-2013 Lecturer , Department of Computer Science, University of Duhok, Duhok city, Kurdistan Region of Iraq.
09-2020 -11-2024 Assistant research professor Adjunct Faculty, Department of Biomechanics, University of Nebraska at Omaha, Omaha, NE, USA.
01-2024 -11-2024 Research Fellow, National Strategic Research Institute (NSRI) , Omaha, NE USA
07-2023 -11-2024 Research Faculty, Center for Intelligent Health Care (CIHC), University of Nebraska Medical Center, Omaha, NE, USA.
02-2020 -08-2024 Research Data Analyst, Department of Veterans Affairs and the Nebraska/Western Iowa Health Care System (NWIHCS), Omaha, NE, USA.
08-2024 -To Present Assistant Professor , School of Information Technology , University of Cincinnati , Cincinnati, OH USA
Research Support
Investigators:Alsaleem, Pipinos, Myers, and Qolomany 07-2021 -07-2023 University of Nebraska, Nebraska Research Initiative (NRI), Role:Co-PI $149,405 Completed Type:Grant Level:University
Investigators:Qolomany 07-2020 -07-2021 University of Nebraska, Leveraging High-Volume Twitter Data to understand current COVID-19 outbreak Description Role:PI $7350 Completed Type:Grant Level:University
Publications
Peer Reviewed Publications
B. Qolomany; T. J. Calay; L. Hossain; A. Mulahuwaish; J. Bou Abdo, CCTFv2: Modeling Cyber Competitions.Entropy, , More Information
Takallou M.A.; Fallahtafti F.; Hassan M.; Al-Ramini A.; Qolomany B.; Pipinos I.; Myers S.; Alsaleem F. (12-01-2024. ) Diagnosis of disease affecting gait with a body acceleration-based model using reflected marker data.Scientific Reports, , 14 (1 ) , More Information
Qolomany B.; Calay T.J.; Hossain L.; Mulahuwaish A.; Bou Abdo J. (05-01-2024. ) CCTFv2: Modeling Cyber Competitions.Entropy, , 26 (5 ) , More Information
Bou Abdo J.; Dass S.; Qolomany B.; Hossain L. (01-01-2024. ) Modeling the Dynamics of Bitcoin Overlay Network.Studies in Computational Intelligence, , 1143 SCI ,371-383 More Information
Aledhari M.; Rahouti M.; Qadir J.; Qolomany B.; Guizani M.; Al-Fuqaha A. (01-01-2024. ) Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques.IEEE Internet of Things Journal, , 11 (1 ) ,378-402 More Information
Mulahuwaish A.; Loucks M.; Qolomany B.; Al-Fuqaha A. (03-01-2023. ) Topic Modeling Based on Two-Step Flow Theory: Application to Tweets about Bitcoin.IT Professional, , 25 (2 ) ,52-63 More Information
Osti M.; Thakuri A.; Qolomany B.; Mulahuwaish A. (01-01-2023. ) Weighted Sampled Split Learning (WSSL): Balancing Privacy, Robustness, and Fairness in Distributed L.Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS, , 443-450 More Information
Calay T.J.; Qolomany B.; Mulahuwaish A.; Hossain L.; Abdo J.B. (01-01-2023. ) CCTFv1: Computational Modeling of Cyber Team Formation Strategies.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), , 14161 LNCS ,199-208 More Information
Mulahuwaish A.; Osti M.; Gyorick K.; Maabreh M.; Gupta A.; Qolomany B. (01-01-2023. ) CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets Using Deep Learning Models.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), , 13741 LNCS ,466-479 More Information
Mulahuwaish A.; Korbel S.; Qolomany B. (12-01-2022. ) Improving datacenter utilization through containerized service-based architecture.Journal of Cloud Computing, , 11 (1 ) , More Information
Al-Ramini A.; Hassan M.; Fallahtafti F.; Takallou M.A.; Rahman H.; Qolomany B.; Pipinos I.I.; Alsaleem F.; Myers S.A. (10-01-2022. ) Machine Learning-Based Peripheral Artery Disease Identification Using Laboratory-Based Gait Data.Sensors, , 22 (19 ) , More Information
Maabreh M.; Maabreh A.; Qolomany B.; Al-Fuqaha A. (07-01-2022. ) The robustness of popular multiclass machine learning models against poisoning attacks: Lessons and .International Journal of Distributed Sensor Networks, , 18 (7 ) , More Information
Ahmad K.; Alam F.; Qadir J.; Qolomany B.; Khan I.; Khan T.; Suleman M.; Said N.; Hassan S.Z.; Gul A.; Househ M.; Al-Fuqaha A. (05-01-2022. ) Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Na.JMIR Formative Research, , 6 (5 ) , More Information
Tabatabai S.; Mohammed I.; Qolomany B.; Albaseer A.; Ahmad K.; Abdallah M.; Al-Fuqaha A. (01-01-2022. ) Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data.2022 International Wireless Communications and Mobile Computing, IWCMC 2022, , 407-412 More Information
Aledhari M.; Razzak R.; Qolomany B.; Al-Fuqaha A.; Saeed F. (01-01-2022. ) Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions.IEEE Access, , 10 ,31306-31339 More Information
Halhoul Merabet G.; Essaaidi M.; Haddou M.B.; Qolomany B.; Qadir J.; Anan M.; Al-Fuqaha A.; Abid M.R.; Benhaddou D. (07-01-2021. ) Corrigendum to “Intelligent building control systems for thermal comfort and energy-efficiency: A sy.Renewable and Sustainable Energy Reviews, , 145 , More Information
Halhoul Merabet G.; Essaaidi M.; Ben Haddou M.; Qolomany B.; Qadir J.; Anan M.; Al-Fuqaha A.; Abid M.R.; Benhaddou D. (07-01-2021. ) Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review .Renewable and Sustainable Energy Reviews, , 144 , More Information
Mohammed I.; Tabatabai S.; Al-Fuqaha A.; Bouanani F.E.; Qadir J.; Qolomany B.; Guizani M. (04-01-2021. ) Budgeted online selection of candidate iot clients to participate in federated learning.IEEE Internet of Things Journal, , 8 (7 ) ,5938-5952 More Information
Qolomany B.; Mohammed I.; Al-Fuqaha A.; Guizani M.; Qadir J. (02-15-2021. ) Trust-Based Cloud Machine Learning Model Selection for Industrial IoT and Smart City Services.IEEE Internet of Things Journal, , 8 (4 ) ,2943-2958 More Information
Qolomany B.; Ahmad K.; Al-Fuqaha A.; Qadir J. (01-01-2020. ) Particle Swarm Optimized Federated Learning for Industrial IoT and Smart City Services.Proceedings - IEEE Global Communications Conference, GLOBECOM, , More Information
Ahmed L.; Ahmad K.; Said N.; Qolomany B.; Qadir J.; Al-Fuqaha A. (01-01-2020. ) Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification.IEEE Access, , 8 ,208518-208531 More Information
Qolomany B.; Al-Fuqaha A.; Gupta A.; Benhaddou D.; Alwajidi S.; Qadir J.; Fong A.C. (01-01-2019. ) Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey.IEEE Access, , 7 ,90316-90356 More Information
Maabreh M.; Qolomany B.; Springstead J.; Alsmadi I.; Gupta A. (12-15-2017. ) Deep vs. shallow learning-based filters of MS/MS spectra in support of protein search engines.Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, , 2017-January ,1175-1182 More Information
Maabreh M.; Qolomany B.; Alsmadi I.; Gupta A. (12-15-2017. ) Deep learning-based MSMS spectra reduction in support of running multiple protein search engines on .Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, , 2017-January ,1909-1914 More Information
Qolomany B.; Maabreh M.; Al-Fuqaha A.; Gupta A.; Benhaddou D. (07-19-2017. ) Parameters optimization of deep learning models using Particle swarm optimization.2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017, , 1285-1290 More Information
Qolomany B.; Al-Fuqaha A.; Benhaddou D.; Gupta A. (07-02-2017. ) Role of Deep LSTM Neural Networks and Wi-Fi Networks in Support of Occupancy Prediction in Smart Bui.Proceedings - 2017 IEEE 19th Intl Conference on High Performance Computing and Communications, HPCC 2017, 2017 IEEE 15th Intl Conference on Smart City, SmartCity 2017 and 2017 IEEE 3rd Intl Conference on Data Science and Systems, DSS 2017, , 2018-January ,50-57 More Information
Maabreh M.; Qolomany B.; Gupta A.; Springstead J. (07-01-2017. ) Optimizing protein search engines using particle swarm optimization.Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017, , 2018-January ,340-345 More Information
Patents and Inventions
18/392,260 US20240237902A1 Systems and Methods for Diagnosing Peripheral Arterial Disease (PAD) Using Gait Acceleration Characteristics Fadi Alsaleem, Mohammad A. Takallou, Sara Myers, Iraklis Pipinos, Basheer Qolomany, Awarded 07-18-2024 Co-Inventor https://patents.justia.com/patent/20240237902
Contact Information
Academic - qolomabr@ucmail.uc.edu