Dr. Eslam Seyam | Healthcare Risk Stratification | Best Researcher Award

Dr. Eslam Seyam | Healthcare Risk Stratification | Best Researcher Award

Assistant professor at Imam Muhammad Ibn Saud Islamic University, Saudi Arabia.

Eslam Abdelhakim Kamel Seyam is an Assistant Professor in the Department of Insurance and Risk Management at Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia. Born on October 1, 1987, in Egypt, he has a strong academic background in statistics and insurance. With over 10 years of experience in teaching and research, Seyam has published numerous papers in reputable journals, focusing on actuarial science, insurance analytics, and risk management. He has also supervised PhD dissertations and taught various courses, including financial mathematics, statistics, and risk management.

Professional Profile

scholar

πŸŽ“ Education

Seyam holds a Bachelor’s degree in Commerce (Statistics and Insurance) from Zagazig University, Egypt (2004-2008), a Master’s degree in Insurance from Cairo University, Egypt (2009-2014), and a PhD degree in Insurance from Zagazig University and Michigan State University, USA (2014-2020). His PhD thesis focused on the impact of corporate governance on assets and liabilities management of insurance companies.

πŸ’Ό Experience

 

 

 

Seyam has worked as a Demonstrator, Teaching Assistant, and Assistant Professor at Zagazig University, Egypt (2009-2025). He is currently an Assistant Professor at Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia (2025-present). He has also gained experience as an internal auditor specializing in accreditation and quality assurance for various educational institutions.

πŸ”¬ Research Interests

Seyam’s research interests include actuarial science, decision-making under risk and uncertainty, credibility theory, insurance analytics, machine learning, and quantitative risk management. He has published papers on topics such as comprehensive automobile insurance ratemaking, credit risk determinants, and IFRS 17 implementation.

πŸ… Awards

Although specific awards and honors are not detailed, Seyam’s publications in reputable journals and his experience in accreditation and quality assurance demonstrate his expertise and recognition in the field of insurance and risk management.

πŸ“šTop NotedΒ  Publications

1. Proposed Models for Comprehensive Automobile Insurance Ratemaking in Egypt with Parametric and Semi-Parametric Regression πŸ“Š
2. Exploring the linkages between insurance receivables and economic development: Evidence from Egyptian insurance sector πŸ“ˆ
3. Comprehensive analysis of credit risk determinants in the Egyptian property and casualty insurance sector 🏠
4. Analyzing the impact of IFRS 17 on insurance reserves management: A multifaceted assessment πŸ“Š
5. Modeling the determinants of Insurtech Adoption: Evidence from the Saudi Insurance Industry πŸ€–
6. Comparative Modeling of Insurance Claim Frequency and Compensation: A Study Using GAM, GAMM, and Artificial Neural Networks πŸ“Š (Under Review)
7. Data-Driven Risk Stratification for High-Cost Care Management: An Empirical Evaluation of Generalized and Regularized Models πŸ“ˆ (Under Review)
8. A Comparative Evaluation of GLM and Mixed-Effects Extensions for Automobile Insurance Ratemaking: Evidence from Hurdle and Non-Hurdle Models πŸš— (Under Review)
9. Predicting Motor Insurance Claim Frequency Using Advanced Statistical Models: Decision Trees, Generalized Linear Models, and Generalized Additive Models πŸš— (Under Review)

Yarden Zohar | Xi da Vinci robotic surgeries | Best Researcher Award

Dr. Yarden Zohar | Xi da Vinci robotic surgeries | Best Researcher Award

Uro-oncology surgeries, Department of Urology, Soroka Medical Center, Faculty of Health Science, Ben-Gurion University of the Negev, Israel

Yarden Zohar is a urologist and researcher with a strong passion for innovative treatments and technologies. Born in January 1992 in Israel, he has completed his medical education and residency, and is currently working as an instructor in urology at the Faculty of Medicine, Ben-Gurion University of the Negev. 🌟

Profile

orcid

EducationπŸŽ“

Yarden Zohar completed his Doctor of Medicine degree at Debrecen University, Hungary, graduating with honors (Summa Cum Laude) in 2019. He also holds a full matriculation certificate from Blich High School, Ramat-Gan, Israel. πŸ“š

Experience πŸ’Ό

Yarden Zohar has gained extensive experience in urology, working as a resident at Soroka Medical Center, and as an instructor in urology at the Faculty of Medicine, Ben-Gurion University of the Negev. He has also worked as a physician assistant in internal medicine departments and has participated in various research projects. 🌐

Awards & HonorsΒ  πŸ†

Unfortunately, the provided text does not mention specific awards or honors received by Yarden Zohar. However, his publications and research contributions demonstrate his expertise and impact in the field of urology. πŸŽ‰

Research FocusΒ  πŸ”¬

Yarden Zohar’s research focus lies in urology, particularly in the areas of robotic-assisted surgery, urothelial carcinoma, and ureteral stones. He has published several papers on these topics and has participated in various research projects. 🌊

Publications

1. Mp15-20 Neo-Adjuvant 177lu-Psma-I&Amp; T Radionuclide In High-Risk Prostate Cancer Before Radical Prostatectomy: A Feasibility Trial 🌟
2. Neoadjuvant 177Lu-PSMA-I&T Radionuclide Treatment in Patients with High-risk Prostate Cancer Before Radical Prostatectomy: A Single-arm Phase 1 Trial 🌈
3. Targeting HIF-1 For Prostate Cancer: A Synthesis Of Preclinical Evidence πŸ”¬
4. VE33 – Robot-Assisted Upper Pole Hemi-Nephroureterectomy, Distal Common Sheath Ureterectomy And Bladder Cuff With Reimplantation Of Lower Moiety Ureter In A Duplex System With Upper Tract Moiety Urothelial Carcinoma πŸ€–
5. Management of Upper Tract Urothelial Carcinoma in a Double Collecting System Kidney 🌊
6. Endoscopic Management of Complex Uretero-Ileal Strictures – β€œCut-to-the-Light” Technique: A Case Report and Literature Review πŸ’‘
7. A Machine Learning Model For Predicting Surgical Intervention In Children With Ureteral Stones ≀10mm πŸ€–
8. Minimally Invasive One-Docking, Two-Target, and Three-Port Robotic-Assisted Nephroureterectomy: Redefining Surgical Approach

Conclusion

Yarden Zohar’s exceptional academic background, research experience, clinical skills, and leadership abilities make him an outstanding candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his potential to make a significant impact in his field.