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Basheer Qolomany
Faculty
Faculty

Basheer Qolomany

Assistant Professor of Artificial Intelligence and Computational Medicine

Basheer.Qolomany@howard.edu

Department/Office

  • Medicine

School/College

  • College of Medicine

Additional Positions

  • Center For Sickle Cell Disease
  • Assistant Professor
    Center for Applied Data Science and Analytics

Biography

Dr. Basheer Qolomany is an Assistant Professor at Howard University College of Medicine. As an interdisciplinary researcher, Dr. Qolomany possesses expertise in network science, evolutionary computation, and artificial intelligence. He leverages advanced AI technologies, including natural language processing, machine learning, deep learning, graph representation learning, swarm intelligence, and big data analytics, to address critical challenges in computational medicine, population health, cybersecurity, and smart services. 

Dr. Qolomany's research is driven by a passion for solving complex problems through the integration and analysis of large, heterogeneous data streams from diverse sources such as public health records, clinical health data, genome sequencing, IoT data, wearable data, digital health tools, social media, and news feeds. By combining these varied datasets with cutting-edge AI techniques, he develops predictive, diagnostic, and intervention models that advance healthcare delivery and improve patient outcomes. His work also explores the intersection of computational medicine and AI to enhance precision medicine, optimize therapeutic strategies, and address socio-demographic disparities in healthcare access and outcomes.

Dr. Qolomany has built a rich and diverse academic career, serving in various roles at institutions such as the University of Cincinnati, the University of Nebraska, Kennesaw State University, Western Michigan University, and the University of Duhok. Each experience has shaped his expertise and deepened his commitment to education and research.

Education & Expertise

Education

Ph.D. in Computer Science


Western Michigan University
2018

Master of Science in Computer Science


Western Michigan University
2018

Master of Science in Computer Science


University of Mosul
2011

Bachelor of Science in Computer Science


University of Mosul
2008

Expertise

Assistant Professor

12-2024 To Present Department of Medicine at Howard University-College of Medicine, Washington, D.C. USA 

Assistant Professor

08-2024 -To 01-2025 School of Information Technology, University of Cincinnati, Cincinnati, OH USA

Assistant research professor Adjunct Faculty

09-2020 to 12-2024  Department of Biomechanics, University of Nebraska at Omaha, Omaha, NE, USA.

Assistant Professor

08-2019 To 08-2024  Department of Cyber Systems, University of Nebraska, Kearney, NE USA

Research Fellow

01-2024 To11-2024 National Strategic Research Institute (NSRI), Omaha, NE USA

Research Faculty

07-2023 To 11-2024 Center for Intelligent Health Care (CIHC), University of Nebraska Medical Center, Omaha, NE, USA.

Research Data Analyst

02-2020 To 08-2024 Department of Veterans Affairs and the Nebraska/Western Iowa Health Care System (NWIHCS), Omaha, NE, USA.

Visiting Assistant Professor

08-2018 To 08-2019 Department of Computer Science, Kennesaw State University, Marietta, GA, USA

Research Assistant (RA) & Teaching Assistant (TA)

01-2016 To 08-2018 Department of Computer Science., Western Michigan University, Kalamazoo, MI, USA.

Lecturer

04-2011 To 12-2013 Department of Computer Science, University of Duhok, Duhok City, Kurdistan Region of Iraq.

Academics

Academics

TEACHING & MENTORING

With over 13 years of teaching experience at various institutions in and outside the US, I have had the opportunity to teach a wide range of courses across Computer Science, Data Science, Cybersecurity, and Information Technology. My course repertoire includes Cloud Computing, Parallel Processing, Machine learning, NLP, Python for Data Analytics, Big data analytics, AI, Computer Networks, Interactive Web app Development, Object Oriented Programming, algorithms and data structures, Operating Systems, Computer Security, Cyber Systems Capstone, and Data-driven cybersecurity.

My teaching philosophy centers around motivating students to develop their learning interests and critical thinking and creates a classroom environment where the learners can flourish. I also endeavor to integrate the learning experiences and research I have been involved with into my teaching so that the teaching can be further enriched by examples from real practices, and fostering a research-oriented mindset.

Research

Research

Specialty

research focuses on network science, evolutionary computation, and artificial intelligence, including natural language processing, machine learning, deep learning, graph representation learning, swarm intelligence, and big data analytics.

Funding

Investigators: Alsaleem, Pipinos, Myers, and Qolomany, "A novel approach for the detection and monitoring of Peripheral Artery Disease using wearable devices and machine learning to analyze human gait,"  University of Nebraska, Nebraska Research Initiative (NRI), Role:Co-PI $149,405 Completed Type: Grant Level:University, Period: 07-2021 -07-2023

 

Investigators: Qolomany,  University of Nebraska, Leveraging High-Volume Twitter Data to understand current COVID-19 outbreak Description Role:PI $7350 Completed Type:Grant Level:University, Period: 07-2020 -07-2021

 

Group Information

Please check the Google Scholar