Dr Hind Zantout

PhD in Computing

Role
Professor
Section
School of Mathematical & Computer Sciences
Email
Hind Zantout

About

Professor Zantout has experience in teaching both in the UAE and the UK and is a Senior Fellow of Advance HE. She is fluent in English, Arabic, and German.

She has taught several courses at Heriot-Watt, including Big Data Management, Logic and Proof, Rigorous Methods, and Foundations 2.

As Programme Director, she introduced the MSc in Data Science in Dubai.

Biography

Academic Leadership and Affiliations:

Since joining Heriot-Watt in 2012, Professor Zantout has held several roles, most recently:

  • MACS Deputy Head of School
  • CS Associate Head of Department (Dubai)
  • MSc Data Science Programme Director
  • School Representative on the University Studies Committee

She engages in Learning and Teaching activities, presenting at relevant events of the Learning and Teaching Academy, and also reviews papers for journals and conferences. She runs the annual Women in Data Science (WiDS) conference and is an ambassador for Technovation, an initiative aimed at interesting young girls in technology.

Qualifications:

  • PhD – Thesis title: “Intelligent Document Management through Enrichment: A Conceptual Model”
    Kingston University, UK (2000)
     
  • MSc Information Technology
    Kingston University, UK
     
  • BSc Mathematics
    American University of Beirut, Lebanon
Research

Her academic and research interests include teaching and learning, and interdisciplinary topics that link computing and informatics with business and society. Under this umbrella, big data, semantic technologies, machine learning, and knowledge management are employed to support work on business analytics, smart communities, and the knowledge economy.

She is currently supervising two PhD students who are researching statistical and machine learning tools that can be used in the development of relevant solutions in the health sector.

Publications

Investigating the Proficiency of Large Language Models in Formative Feedback Generation for Student Programmers:
Kumar, S., Lones, M. A., Maarek, M., & Zantout, H., 15 Jan 2024 (Accepted/In press)
2024 International Workshop on Large Language Models for Code (LLM4Code). Association for Computing Machinery
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

A Review of Capsule Networks in Medical Image Analysis:
El-Shimy, H., Zantout, H., Lones, M., & El Gayar, N., 2023
Artificial Neural Networks in Pattern Recognition. ANNPR 2022. El Gayar, N., Trentin, E., Ravanelli, M., & Abbas, H. (eds.). Springer, p. 65-80 16 p. (Lecture Notes in Computer Science; vol. 13739).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Public Private Partnership and Smart City: An Investigation into the Navigation App “Makani”
Salama, M., Zantout, H., & Hussien, S. E., 20 Aug 2023
Intelligent Computing. SAI 2023. Arai, K. (ed.). Springer, p. 1438-1454 17 p. (Lecture Notes in Networks and Systems; vol. 739).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

SI22: A Dataset for Analysis of DoS Attack on the Cloud
Ismail, S., Hassen, H. R., Just, M., & Zantout, H., 14 Mar 2023
15th IEEE/ACM International Conference on Utility and Cloud Computing (UCC). IEEE, p. 372-377 6 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Android Malware Detection Using API Calls: A Comparison of Feature Selection and Machine Learning Models
Muzaffar, A., Ragab Hassan, H., Lones, M. A., & Zantout, H., 2 Feb 2022
Proceedings of the International Conference on Applied CyberSecurity (ACS) 2021. Ragab Hassen, H. & Batatia, H. (eds.). Springer, p. 3-12 10 p. (Lecture Notes in Networks and Systems; vol. 378).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution