Academic & Research Profile

Ali Vatankhah

Computer Engineering Academic | Applied AI & Data Mining | Health-Data Project Supervision | Research Direction: Health Data Science & Medical Informatics

Computer engineering academic with 14+ years of university teaching, applied AI and data-mining project supervision, and academic leadership since 2018. His profile combines long-running teaching in Artificial Intelligence, Data Mining, Database Systems, health-data classification supervision, institutional leadership, academic evaluation, and student development. He is currently seeking funded doctoral and research-associate opportunities in Health Data Science, Medical Informatics, and Applied Machine Learning for Healthcare.

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14+ yearsUniversity teaching
4 institutionsHigher-education teaching experience
~40 / semesterTypical core-course cohort
10+ topicsDocumented health-data supervision areas

Research Direction

The research profile is deliberately framed as a developing doctoral direction, while established teaching, supervision and analytical methods are presented separately.

Health Data Science Medical Informatics Applied Machine Learning for Healthcare Clinical Decision Support Explainable & Responsible AI Structured Health Data

Methods & Technical Practice

Documented methods used in teaching and supervised project workflows.

RapidMiner Decision Trees K-Nearest Neighbours Bayesian Classification Comparative Model Evaluation Dataset Preparation & Analysis Database Systems Applied AI Instruction

Teaching & Research Supervision

Teaching and supervision evidence is presented with concrete scope rather than generic claims.

Computer Engineering Teaching

  • 14+ years of university-level teaching.
  • Experience across 4 higher-education institutions.
  • Core AI/data/database cohorts typically around 40 students per semester.
  • Subjects include Artificial Intelligence, AI Laboratory, Database Systems, internship and project-based learning.

Health-Data Project Supervision

  • 10+ documented health-related topics.
  • Projects include neurological, cardiovascular, hematological, ophthalmic, renal, respiratory, sleep and mental-health-related data.
  • Students compare 3 classical classifier families in RapidMiner: decision trees, k-nearest neighbours and Bayesian methods.
  • Supervision covers problem framing, data preparation, method selection, comparative evaluation, interpretation and academic presentation.

Academic Leadership

Leadership progression spans three formal roles and includes institution-level operational, academic and development responsibilities.

~47 → ~500
Student enrolment at Gorgan 3 during his tenure as Head of University Center — more than 10x growth, documented in a signed 2026 academic recommendation.
3 roles
Head of University Center · Director of Education and Research · Head of Computer Department
~500 students
Current institutional scale reflected in leadership responsibilities at Gorgan 3.
Oct 2020 – Present
Head of University Center (Gorgan 3)
University of Applied Science and Technology, Gorgan
Academic and operational planning, faculty coordination, programme quality, educational facilities, practical workshops, student engagement and institutional development.
Feb 2019 – Oct 2020
Director of Education and Research
University of Applied Science and Technology, Gorgan
Coordinated education and research operations, curriculum implementation, academic quality assurance, instructor processes and student academic administration.
2018 – 2020
Head of Computer Department
National Skills University – Shahid Chamran Technical College, Gorgan
Led academic coordination for the Computer Engineering group, supporting teaching quality, instructor evaluation and project supervision.

Selected Evidence & Academic Service

Quantified evidence supporting the teaching, evaluation, mentoring and institutional profile.

40+
Specialized workshops and scientific / industry visits organized or facilitated since 2025 as Faculty Advisor.
11
Documented AI-assisted and digital-technology proposals evaluated for Golestan Science and Technology Park.
3-member panel
Academic capability assessment process for applicants seeking university teaching authorization in the computer field.

His teaching experience, independence, persistence, professional maturity, and ability to handle demanding responsibilities provide a strong foundation for further academic and research development at the doctoral level.

Prof. Dr. Hamidreza Asgari · President, University of Applied Science and Technology, Golestan Province · Signed doctoral recommendation, 23 September 2026
The full signed recommendation is retained for direct applications and referee requests rather than published publicly with private contact details.

Education, Publications & Recognition

Selected academic background and supporting outputs.

Education

  • M.Sc. in Computer Engineering – Software, Payame Noor University, North Tehran Branch (2012–2015).
  • B.Sc. in Computer Software Technology Engineering, Mirdamad Institute of Higher Education, Gorgan (2009–2011).
  • Associate Degree in Computer – Software, National Skills University – Imam Ali Technical College, Kordkuy (2006–2008).

Selected Record

  • 3 book-length outputs / translations.
  • 1 registered invention: Medical Mouse (2008).
  • Outstanding Lecturer, UAST Golestan Province (2025).
  • Selected Honoree, National Skills University – Maedeh College (2024).
  • Technical Mentor, Creative Industries Startup Weekend (2022).

Research & Doctoral Contact

For funded doctoral, research-associate and collaborative opportunities in Health Data Science, Medical Informatics and Applied Machine Learning for Healthcare.

Email
ali@alivatankhah.de

LinkedIn
linkedin.com/in/ali-vatankhah1988

Academic CV
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