Sana Ullah Jan
sana ullah jan

Dr Sana Ullah Jan

Lecturer

Biography

Dr. Sana Ullah Jan is an experienced teacher and researcher with a history of serving in prestigious institutes including the University of the West of Scotland, the University of Ulsan (South Korea) and the University of Lahore (Pakistan). He is currently enrolled as Lecturer/Assistant Professor in Edinburgh Napier University, UK since September 2021. He was previously enrolled as Post-doctoral Research Fellow at the Center of Affective and Human Computing for Smart Environment at the school of computing, engineering and physical sciences, University of the West of Scotland since September 2020 to August 2021. He has (co)authored more than 30 papers in international journals and peer-reviewed international conference proceedings. His research area is closely related to the Artificial Intelligence or Machine Learning-based cyber security and privacy in the Internet-of-Things, Cyber Physical Systems and eHealth. He has taught various courses both at Undergraduate (UG) and Postgraduate (PG) levels during his career. He is serving as editorial board member and invited reviewer for several leading high-impact journals and conferences. He has been endorsed as Global Talent by the Royal Academy of Engineering of the UK.

Esteem

Conference Organising Activity

  • Scientific Advisory Committee, International Conference on Artificial Intelligence and Mathematical Modeling for Industry Excellence (IC-AIMMIE-2024)
  • Organizing Committee Member, IEEE International Conference on Smart Communities: Improving quality of life using ICT, IoT and AI
  • Publicity Co-Chair ICRAI 2023
  • Track Chair (Cyber Security) for IEEE SMARTTECH 2022
  • Program Committee Member at SICSA Event 2022
  • Session Chair (Big Data and Cybersecurity) at IEEE DSC 2022

 

Editorial Activity

  • Early Career Editorial Board Member: Computers, Materials & Continua
  • Guest Editor, Machines
  • Guest Editor, Journal of Surveillance, Security and Safety
  • Academic Editor Journal of Sensors
  • Guest Editor, Computer Systems Science and Engineering

 

External Examining/Validations

  • External Examiner for PhD Defense
  • External Examiner for PhD Thesis
  • External Examiner for PhD Dissertation
  • External Examiner for PhD Dissertation Defence

 

Invited Speaker

  • Invited Speaker at FIT 2023
  • Invited Talk at COMSATS University Islamabad, Attock Campus
  • Keynote Speaker at International Workshop on Applications of AI in Agriculture
  • Invited Speaker for FIT 2022
  • Invited Speaker for 4th International Conference of Computer Science and Allied Technology (ICCSAT) 2022
  • Invited Talk in Capital University of Science & Technology, Pakistan

 

Membership of Professional Body

  • Senior Member IEEE
  • Member IEEE
  • Student Member IEEE

 

Reviewing

  • Reviewer for International conferences and Journals

 

Date


29 results

Transfer learning-based method for detection of COVID-19 using X-Ray Images

Conference Proceeding
Rehman, A., Tariq, Z., Jan, S. U., Aziz, S., Khan, M. U., & Chaudry, H. N. (2021)
Transfer learning-based method for detection of COVID-19 using X-Ray Images. In 2021 International Conference on Robotics and Automation in Industry (ICRAI). https://doi.org/10.1109/icrai54018.2021.9651463
In this paper, we have performed transfer learning using different pre-trained convolutional neural networks for binary classification of X-ray images into COVID-19 disease an...

A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT

Journal Article
Almas Khan, M., Khan, M. A., Ullah Jan, S., Ahmad, J., Jamal, S. S., Shah, A. A., …Markakis, E. K. (2021)
A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT. Sensors, 21(21), Article 7016. https://doi.org/10.3390/s21217016
A large number of smart devices in Internet of Things (IoT) environments communicate via different messaging protocols. Message Queuing Telemetry Transport (MQTT) is a widely ...

A Review and Comparison of the State-of-the-Art Techniques for Atrial Fibrillation Detection and Skin Hydration

Journal Article
Liaqat, S., Dashtipour, K., Zahid, A., Arshad, K., Ullah Jan, S., Assaleh, K., & Ramzan, N. (2021)
A Review and Comparison of the State-of-the-Art Techniques for Atrial Fibrillation Detection and Skin Hydration. Frontiers in Communications and Networks, 2, Article 679502. https://doi.org/10.3389/frcmn.2021.679502
Atrial fibrillation (AF) is one of the most common types of cardiac arrhythmia, with a prevalence of 1–2% in the community, increasing the risk of stroke and myocardial infarc...

A Lightweight Chaos-Based Medical Image Encryption Scheme Using Random Shuffling and XOR Operations

Journal Article
Masood, F., Driss, M., Boulila, W., Ahmad, J., ur Rehman, S., Jan, S. U., …Buchanan, W. J. (2022)
A Lightweight Chaos-Based Medical Image Encryption Scheme Using Random Shuffling and XOR Operations. Wireless Personal Communications, 127, 1405-1432. https://doi.org/10.1007/s11277-021-08584-z
Medical images possess significant importance in diagnostics when it comes to healthcare systems. These images contain confidential and sensitive information such as patients’...

CAFD: Context-Aware Fault Diagnostic Scheme towards Sensor Faults Utilizing Machine Learning

Journal Article
Saeed, U., Lee, Y., Jan, S. U., & Koo, I. (2021)
CAFD: Context-Aware Fault Diagnostic Scheme towards Sensor Faults Utilizing Machine Learning. Sensors, 21(2), Article 617. https://doi.org/10.3390/s21020617
Sensors’ existence as a key component of Cyber-Physical Systems makes it susceptible to failures due to complex environments, low-quality production, and aging. When defective...

Fault diagnosis based on extremely randomized trees in wireless sensor networks

Journal Article
Saeed, U., Jan, S. U., Lee, Y., & Koo, I. (2021)
Fault diagnosis based on extremely randomized trees in wireless sensor networks. Reliability Engineering and System Safety, 205, Article 107284. https://doi.org/10.1016/j.ress.2020.107284
Wireless Sensor Network (WSN) being highly diversified cyber–physical system makes it vulnerable to numerous failures, which can cause devastation towards safety, economy, and...

A distributed sensor-fault detection and diagnosis framework using machine learning

Journal Article
Jan, S. U., Lee, Y. D., & Koo, I. S. (2021)
A distributed sensor-fault detection and diagnosis framework using machine learning. Information Sciences, 547, 777-796. https://doi.org/10.1016/j.ins.2020.08.068
The objective of this work is to design a sensor-fault detection and diagnosis system for the Internet of Things and Cyber-Physical Systems. The challenge is, however, achievi...

Machine Learning-based Real-Time Sensor Drift Fault Detection using Raspberry Pi

Conference Proceeding
Saeed, U., Ullah Jan, S., Lee, Y., & Koo, I. (2020)
Machine Learning-based Real-Time Sensor Drift Fault Detection using Raspberry Pi. In 2020 International Conference on Electronics, Information, and Communication (ICEIC). https://doi.org/10.1109/iceic49074.2020.9102342
From smart industries to smart cities, sensors in the modern world plays an important role by covering a large number of applications. However, sensors get faulty sometimes le...

Machine Learning for Detecting Drift Fault of Sensors in Cyber-Physical Systems

Conference Proceeding
Jan, S. U., Saeed, U., & Koo, I. (2020)
Machine Learning for Detecting Drift Fault of Sensors in Cyber-Physical Systems. In 2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST). https://doi.org/10.1109/ibcast47879.2020.9044498
Cyber-Physical System (CPS) emerges as a potential direction to improve the applications relating to object-to-object, human-to-human and human-to-object communications in bot...

On Lightweight Method for Intrusions Detection in the Internet of Things

Conference Proceeding
Shakhov, V., Jan, S. U., Ahmed, S., & Koo, I. (2019)
On Lightweight Method for Intrusions Detection in the Internet of Things. In 2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom). https://doi.org/10.1109/blackseacom.2019.8812813
Integration of the internet into the entities of the different domains of human society is emerging as a new paradigm called the Internet of Things. At the same time, the ubiq...

Current Post Grad projects