ICCC

Talal Omar

Job title or function

Talal Omar’s original ICCC biography describes dissertation work applying machine-learning algorithms to malware detection in electrical power grids. Documented research areas include machine learning, clustering and data-driven prediction.

Selected published work: “Clustering Application for Data-Driven Prediction of Health Insurance Premiums for People of Different Ages” (2021). Publication details and links are listed below.

Education

  • Ph.D. in Computer Science and Informatics — Oakland University, 2024

Research statistics

Verified ICCC collection

Documented research records
2
Publication records
2
Degree research records
0

Indexed citation figures

Indexed research works
2
Citations to indexed works · all years
32
Citations received · 2024–2026
16
  1. 20247
  2. 20255
  3. 20264

Annual citations: 2024: 7 · 2025: 5 · 2026: 4. Retrieved 2026-10-24. Source 1Checked 2026-10-24

ICCC counts cover the verified collection. Citation figures cover only the displayed indexed source records, not guaranteed career totals. OpenAlex coverage and author clustering can be incomplete. These figures differ from Google Scholar and include self-citations. Compare available member metrics →

Research & Publications

2 research works · Newest first

Authored and co-authored publications, with authors shown in the source order. This list reflects the records currently verified by ICCC and may not be complete.

2021 · 2021 IEEE International Conference on Consumer Electronics (ICCE)

Clustering Application for Data-Driven Prediction of Health Insurance Premiums for People of Different Ages

Tallal Omar, Mohamed Zohdy, Julian Rrushi

View Publication

OpenAlex: 8 citations Source ↗

Start here · New researcher guide

A reading workflow, not an author-verified summary. Confirm all details in the original publication.

  1. Check the fit. Read the abstract and introduction. Write down the research question and explain how it relates to your idea.
  2. Understand the method. Identify the approach, assumptions, data and evaluation measures in the paper.
  3. Check reproducibility. Look for linked code, datasets and supplementary material. Availability has not been verified by ICCC.
  4. Find your next question. Read limitations and future work. Propose one extension and check newer literature before claiming a research gap.
  5. Plan a first experiment. Define a baseline, the change you will test and a measurable outcome. Discuss feasibility with your supervisor.

For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.

2020 · Journal of Data Analysis and Information Processing

Clustering Approach for Analyzing the Student’s Efficiency and Performance Based on Data

Tallal Omar, Abdullah Alzahrani, Mohamed Zohdy

View Publication

OpenAlex: 24 citations Source ↗

Start here · New researcher guide

A reading workflow, not an author-verified summary. Confirm all details in the original publication.

  1. Check the fit. Read the abstract and introduction. Write down the research question and explain how it relates to your idea.
  2. Understand the method. Identify the approach, assumptions, data and evaluation measures in the paper.
  3. Check reproducibility. Look for linked code, datasets and supplementary material. Availability has not been verified by ICCC.
  4. Find your next question. Read limitations and future work. Propose one extension and check newer literature before claiming a research gap.
  5. Plan a first experiment. Define a baseline, the change you will test and a measurable outcome. Discuss feasibility with your supervisor.

For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.

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