Sana Ullah Jan
sana ullah jan

Dr Sana Ullah Jan

Lecturer

Biography

Dr. Sana Ullah Jan is an experienced researcher with more than 8 years of cutting-edge research and teaching experience 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 20 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 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)
  • Session Chair (Big Data and Cybersecurity) at IEEE DSC 2022
  • Program Committee Member at SICSA Event 2022
  • 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

 

Editorial Activity

  • 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 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 Talk in Capital University of Science & Technology, Pakistan
  • Invited Speaker for FIT 2022
  • Invited Speaker for 4th International Conference of Computer Science and Allied Technology (ICCSAT) 2022

 

Membership of Professional Body

  • Senior Member IEEE
  • Member IEEE
  • Student Member IEEE

 

Reviewing

  • Reviewer for International conferences and Journals

 

Date


28 results

Performance Analysis of Support Vector Machine-Based Classifier for Spectrum Sensing in Cognitive Radio Networks

Conference Proceeding
Jan, S. U., Vu, V. H., & Koo, I. S. (2018)
Performance Analysis of Support Vector Machine-Based Classifier for Spectrum Sensing in Cognitive Radio Networks. In 2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)-. https://doi.org/10.1109/cyberc.2018.00075
In this work, the performance of support vector machine (SVM)-based classifier, applied for spectrum sensing in cognitive radio (CR) networks, is analyzed. A single observatio...

A Novel Feature Selection Scheme and a Diversified-Input SVM-Based Classifier for Sensor Fault Classification

Journal Article
Jan, S. U., & Koo, I. (2018)
A Novel Feature Selection Scheme and a Diversified-Input SVM-Based Classifier for Sensor Fault Classification. Journal of Sensors, 2018, Article 7467418. https://doi.org/10.1155/2018/7467418
The efficiency of a binary support vector machine- (SVM-) based classifier depends on the combination and the number of input features extracted from raw signals. Sometimes, a...

Throughput Maximization Using an SVM for Multi-Class Hypothesis-Based Spectrum Sensing in Cognitive Radio

Journal Article
Jan, S. U., Vu, V., & Koo, I. (2018)
Throughput Maximization Using an SVM for Multi-Class Hypothesis-Based Spectrum Sensing in Cognitive Radio. Applied Sciences, 8(3), Article 421. https://doi.org/10.3390/app8030421
A framework of spectrum sensing with a multi-class hypothesis is proposed to maximize the achievable throughput in cognitive radio networks. The energy range of a sensing sign...

Sensor faults detection and classification using SVM with diverse features

Conference Proceeding
Jan, S. U., & Koo, I. S. (2017)
Sensor faults detection and classification using SVM with diverse features. In 2017 International Conference on Information and Communication Technology Convergence (ICTC). https://doi.org/10.1109/ictc.2017.8191044
Sensors in industrial systems fault frequently leading to serious consequences regarding cost and safety. The authors propose support vector machine-based classifier with dive...

Sensor Fault Classification Based on Support Vector Machine and Statistical Time-Domain Features

Journal Article
Jan, S. U., Lee, Y., Shin, J., & Koo, I. (2017)
Sensor Fault Classification Based on Support Vector Machine and Statistical Time-Domain Features. IEEE Access, 5, 8682-8690. https://doi.org/10.1109/access.2017.2705644
This paper deals with the problem of fault detection and diagnosis in sensors considering erratic, drift, hard-over, spike, and stuck faults. The data set containing samples o...

Application of Navigating System based on Bluetooth Smart

Journal Article
Lee, Y., Jan, S. U., & Koo, I. (2017)
Application of Navigating System based on Bluetooth Smart. Journal of the Institute of Internet, Broadcasting and Communication, 17(1), 69-76. https://doi.org/10.7236/jiibc.2017.17.1.69
Bluetooth Low Energy (BLE), also known as Bluetooth Smart, has ultra-low power consumption; in fact, BLE-enabled devices can run on a single coin cell battery for several year...

Comparative analysis of DIPPM scheme for Visible Light Communications

Conference Proceeding
Jan, S. U., Lee, Y., & Koo, I. (2015)
Comparative analysis of DIPPM scheme for Visible Light Communications. In 2015 International Conference on Emerging Technologies (ICET). https://doi.org/10.1109/icet.2015.7389192
Visible Light Communications (VLC) uses solid-state light sources for data transmission in addition to its primary function of illumination. The dual functionality of light so...

Modeling and Analysis of DIPPM: A New Modulation Scheme for Visible Light Communications

Journal Article
Jan, S. U., Lee, Y., & Koo, I. (2015)
Modeling and Analysis of DIPPM: A New Modulation Scheme for Visible Light Communications. Journal of Sensors, 2015, Article 963296. https://doi.org/10.1155/2015/963296
Visible Light Communication (VLC) uses an Intensity-Modulation and Direct-Detection (IM/DD) scheme to transmit data. However, the light source used in VLC systems is continuou...

Current Post Grad projects