Dr. Himat Shah

About

Dr. Himat Ali Shah is a Project Manager (ADINO) and AI Expert at Centria University of Applied Sciences. He holds a Ph.D. in Computer Science from the University of Eastern Finland (Joensuu), has lived in Finland since 2018, and previously lived in London, United Kingdom, for three years, where he completed a Master’s degree. He holds two Master’s degrees in total and is Oracle certified.

Earlier in his career, he served as an **Assistant Professor at QUEST Nawabshah, Pakistan**, a public sector university, contributing to teaching, academic administration, and curriculum development. He later worked as a Postdoctoral Researcher at the University of Turku and has since built a strong profile across applied research, higher education, and industry collaboration, with a specialization in Artificial Intelligence, Machine Learning, and Data Analytics.

Employment

• Centria University of Applied Sciences Project Manager
  2026 - Present
• Kajani University of applied Sciences (KMK) Lecturer
  2024 - Present
• Centria University of Applied Sciences R&D AI Expert
  2024 - 2025
• University of Turku Senior Researcher: Data Science
  2023 - 2024
• Siun SOTE - Pohjois-Karjalan sosiaali- ja terveyspalvelujen kuntayhtymä Programmer
  2020 - 2021
• Quaid-e-Awam University of Engineering, Science and Technology Assistant Professor
  2014 - 2018
• SZABIST Job SKill Training Center Benazirabad Principal
  2013 - 2014

Education

• University of Eastern Finland Doctor of Philosophy Computer Science
  2018 - 2022

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• A comprehensive review of automatic defect detection in wooden surface inspection
  Applied Computing and Intelligence 2026 DOI: 10.3934/aci.2026001
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• Forecasting daily customer flow in restaurants: a multifactor machine learning approach
  Applied Computing and Intelligence 2025 DOI: 10.3934/aci.2025011
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• W-rank: A keyphrase extraction method for webpage based on linguistics and DOM-base features
  2023
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• Combining statistical, structural, and linguistic features for keyword extraction from web pages
  Applied Computing and Intelligence 2022 DOI: 10.3934/aci.2022007
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• WebRank: Language-Independent Extraction of Keywords from Webpages
  2021 IEEE International Conference on Progress in Informatics and Computing (PIC) 2021 DOI: 10.1109/pic53636.2021.9687047
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• Effects of SMS Texting on Academic Writing Skills of Undergraduate Students at a Public Sector University in Pakistan
  Journal of Literature, Languages and Linguistics 2021 DOI: 10.7176/jlll/75-05
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• DOM-based keyword extraction from web pages
  Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing 2019 DOI: 10.1145/3371425.3371495
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• H-Rank: A keywords extraction method from web pages using POS tags
  2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 2019 DOI: 10.1109/indin41052.2019.8972331
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• Image Segmentation Approach Using Python OpenCV to Detect Tuberculosis
  SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES 2019 DOI: 10.26692/sujo/2019.01.24
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• Quality of Experience Assessment of Video Quality in Social Clouds
  Wireless Communications and Mobile Computing 2017 DOI: 10.1155/2017/8313942
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