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Qasem Al-Tashi
Recognition

Awards & honors

Stanford-Elsevier Top 2%

2×

Consecutive 2025 & 2026 Laureate

Global Rank in AI

#8,258

Top 2% Worldwide in AI & Imaging

Cancer Research Honor

AACR

Scholar-In-Training Award (2023)

Academic Fellowships

10+

Full PhD, MS & BS Merit Scholarships

Filter Distinctions:Showing 11 honors
2026Featured Global Honor

Top 2% Scientists Worldwide — second consecutive year

Listed again in the Elsevier-Stanford World's Top 2% Scientists (single-year data) in Artificial Intelligence & Image Processing, ranked 8,258 worldwide in the subfield.

2025

Top 2% Scientists Worldwide

Elsevier-Stanford list in Information & Communication Technologies, specializing in AI and Image Processing.

2025

Microsoft Certified: AZ-900

Azure Fundamentals certification.

2023

AACR Scholar-In-Training Award

Highly competitive award for outstanding young investigators — American Association for Cancer Research Annual Meeting.

2021

Graduate on Time (GOT) Award

Universiti Teknologi PETRONAS — PhD completed in the stipulated 42 months.

2020

CISD Excellence Award

Department award for publications in Q1/Q2 journals, UTP.

2019

GA Merit Award

RM 2,400 for Q1/Q2 journal publications, Center of Graduate Studies, UTP.

2017

Ph.D. Graduate Assistantship Award

Full tuition and monthly stipend, UTP.

2017

Postgraduate Academic Excellence Award

Awarded for all semesters — National University of Malaysia (UKM).

2014

Ministry of Higher Education Scholarship

Outstanding student award to continue M.S. studies.

2008

Ministry of Higher Education Scholarship

Outstanding student award for B.S. studies at UTM.

Service

Professional service

Editorial roles

  • Review Editor, Frontiers in Neurorobotics (2022–present)
  • Associate Editor, Journal of Applied Artificial Intelligence (2020–present)
  • Associate Editor, Journal of Information Technology and Computing (2020–present)

Conference service

  • Scientific Committee Member, 2nd Int'l Conference on Emerging Technologies and Intelligent Systems
  • Scientific Committee Member, Int'l Conference on Emerging Technologies and Intelligent Systems
  • Scientific Committee Member, Int'l Congress of Advanced Technology and Engineering

Teaching & mentoring

  • Taught 5 undergraduate computer science courses over 3 years.
  • Teaching assistant for 7 courses, including AI, databases, and programming (200+ students per semester).
  • Co-advised 3 PhD and 4 MS students; all MS students graduated with publications.
  • Open to delivering talks, short courses, and workshops on AI and machine learning.

Peer reviewer for

Artificial Intelligence in MedicineApplied Soft ComputingKnowledge-Based SystemsNeurocomputingSoft ComputingArtificial Intelligence ReviewApplied Artificial IntelligenceComplex & Intelligent SystemsIEEE Trans. on Emerging Topics in Computational IntelligenceIEEE AccessPLOS OneHealthcareComputing