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
  • Track Chair (Cyber Security) for IEEE SMARTTECH 2022
  • Publicity Co-Chair ICRAI 2023
  • 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, Journal of Surveillance, Security and Safety
  • Guest Editor, Machines
  • Academic Editor Journal of Sensors
  • Guest Editor, Computer Systems Science and Engineering

 

External Examining/Validations

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

 

Invited Speaker

  • Keynote Speaker at International Workshop on Applications of AI in Agriculture
  • Invited Speaker at FIT 2023
  • Invited Talk at COMSATS University Islamabad, Attock Campus
  • 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

Hybrid Wi-Fi and PLC network for efficient e-health communication in hospitals: a prototype

Journal Article
Khan, S. U., Ullah Jan, S., Hwang, T., & Koo, I. (2024)
Hybrid Wi-Fi and PLC network for efficient e-health communication in hospitals: a prototype. Bulletin of Electrical Engineering and Informatics, 13(2), 1400-1410. https://doi.org/10.11591/eei.v13i2.5309
E-health is being adapted in modern hospitals as a significant addition to the existing healthcare services. To this end, modern hospitals urgently require a mobile, high-capa...

Robust Epileptic Seizure Detection Using Long Short-Term Memory and Feature Fusion of Compressed Time–Frequency EEG Images

Journal Article
Khan, S. U., Jan, S. U., & Koo, I. (2023)
Robust Epileptic Seizure Detection Using Long Short-Term Memory and Feature Fusion of Compressed Time–Frequency EEG Images. Sensors, 23(23), Article 9572. https://doi.org/10.3390/s23239572
Epilepsy is a prevalent neurological disorder with considerable risks, including physical impairment and irreversible brain damage from seizures. Given these challenges, the u...

A Hybrid Deep Learning Scheme for Intrusion Detection in the Internet of Things

Conference Proceeding
Momand, A., Jan, S. U., & Ramzan, N. (2024)
A Hybrid Deep Learning Scheme for Intrusion Detection in the Internet of Things. In Intelligent Systems and Pattern Recognition: Third International Conference, ISPR 2023, Hammamet, Tunisia, May 11–13, 2023, Revised Selected Papers, Part II (277-287). https://doi.org/10.1007/978-3-031-46338-9_21
The Internet of Things (IoT) is the connection of smart devices and objects to the internet, allowing them to share and analyze data, communicate with each other, and be contr...

TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks

Journal Article
Ullah, S., Ahmad, J., Khan, M. A., Alshehri, M. S., Boulila, W., Koubaa, A., …Iqbal Ch, M. M. (2023)
TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks. Computer Networks, 237, Article 110072. https://doi.org/10.1016/j.comnet.2023.110072
The Internet of Things (IoT) is a global network that connects a large number of smart devices. MQTT is a de facto standard, lightweight, and reliable protocol for machine-to-...

AI-Enabled Traffic Control Prioritization in Software-Defined IoT Networks for Smart Agriculture

Journal Article
Masood, F., Khan, W. U., Jan, S. U., & Ahmad, J. (2023)
AI-Enabled Traffic Control Prioritization in Software-Defined IoT Networks for Smart Agriculture. Sensors, 23(19), Article 8218. https://doi.org/10.3390/s23198218
Smart agricultural systems have received a great deal of interest in recent years because of their potential for improving the efficiency and productivity of farming practices...

A Novel Chaos-Based Privacy-Preserving Deep Learning Model for Cancer Diagnosis

Journal Article
Rehman, M. U., Shafique, A., Ghadi, Y. Y., Boulila, W., Jan, S. U., Gadekallu, T. R., …Ahmad, J. (2022)
A Novel Chaos-Based Privacy-Preserving Deep Learning Model for Cancer Diagnosis. IEEE Transactions on Network Science and Engineering, 9(6), 4322-4337. https://doi.org/10.1109/TNSE.2022.3199235
Early cancer identification is regarded as a challenging problem in cancer prevention for the healthcare community. In addition, ensuring privacy-preserving healthcare data be...

Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review

Journal Article
Gulzar Ahmad, S., Iqbal, T., Javaid, A., Ullah Munir, E., Kirn, N., Jan, S. U., & Ramzan, N. (2022)
Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review. Sensors, 22(12), Article 4362. https://doi.org/10.3390/s22124362
Currently, information and communication technology (ICT) allows health institutions to reach disadvantaged groups in rural areas using sensing and artificial intelligence (AI...

IoT-Enabled Vehicle Speed Monitoring System

Journal Article
Khan, S. U., Alam, N., Jan, S. U., & Koo, I. S. (2022)
IoT-Enabled Vehicle Speed Monitoring System. Electronics, 11(4), Article 614. https://doi.org/10.3390/electronics11040614
Millions of people lose their lives each year worldwide due to traffic law violations, specifically, over speeding. The existing systems fail to report most of such violations...

Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing

Journal Article
Saeed, U., Yaseen Shah, S., Aziz Shah, S., Liu, H., Alhumaidi Alotaibi, A., Althobaiti, T., …H. Abbasi, Q. (2022)
Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing. Sensors, 22(3), Article 809. https://doi.org/10.3390/s22030809
Wireless sensing is the utmost cutting-edge way of monitoring different health-related activities and, concurrently, preserving most of the privacy of individuals. To meet fut...

Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing

Journal Article
Saeed, U., Yaseen Shah, S., Aziz Shah, S., Liu, H., Alhumaidi Alotaibi, A., Althobaiti, T., …Abbasi, Q. H. (2022)
Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing. Sensors, 22(3), Article 809. https://doi.org/10.3390/s22030809
Wireless sensing is the utmost cutting-edge way of monitoring different health-related activities and, concurrently, preserving most of the privacy of individuals. To meet fut...

Current Post Grad projects