Sohail Ahmed Khan


						Sohail Ahmed Khan PhD Candidate MediaFutures, Department of Information Science and Media Studies, University of Bergen, Norway Email: sohailahmedkhan173@gmail.com Resume • Google Scholar • Github • Linkedin

I am a PhD candidate at the Department of Information Science and Media Studies, University of Bergen, Norway. My research interests lie in the areas of Computer Vision, Deep Learning and Multimedia Forensics. I previously worked as a Research Assistant under the supervision of Dr. Hang Dai, Assistant Professor, Computer Vision department, Mohamed bin Zayed University of Artifical Intelligence, Abu Dhabi, UAE. My research was focused on Deepfake Media Detection. Prior to that, I worked as a research intern at CYENS Centre of Excellence, Nicosia, Cyprus under the supervision of Dr. Alessandro Artusi.

Education


						University of Bergen, Norway PhD in Computational Visual Content Verification Oct 2021 - Present


						The University of Sheffield, United Kingdom MSc in Cybersecurity and Artificial Intelligence Sept 2018 - Nov 2019


						COMSATS University Islamabad, Pakistan Bachelor's of Science in Computer Science Sept 2013 - Sept 2017

Research Experiences


						Computer Vision Lab, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE Research Assistant Dec 2020 - May 2021 [Certificate]


						DeepCamera MRG, CYENS Centre of Excellence, Nicosia, Cyprus Research Assistant (Intern) Sept 2020 - Dec 2020 [Certificate]

Research Papers

	CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection Sohail Ahmed Khan, Duc-Tien Dang-Nguyen Preprint, 2024. [Paper] [Code]
	Deepfake Detection: Analyzing Model Generalization Across Architectures, Datasets, and Pre-Training Paradigms Sohail Ahmed Khan, Duc-Tien Dang-Nguyen IEEE Access, 2023. [Paper]
	Detecting Out-of-Context Image-Caption Pairs in News: A Counter-Intuitive Method Eivind Moholdt, Sohail Ahmed Khan, Duc-Tien Dang-Nguyen ACM International Conference on Content-Based Multimedia Indexing (CBMI), 2023. [Paper]
	Automated Claim Detection for Fact-checking: A Case Study using Norwegian Pre-trained Language Models Ghazaal Sheikhi, Samia Touileb, Sohail Ahmed Khan The 24rd Nordic Conference on Computational Linguistics (NoDaLiDa), 2023. [Paper]
	Visual User-Generated Content Verification in Journalism: An Overview Sohail Ahmed Khan, Ghazaal Sheikhi, Andreas L. Opdahl, Fazle Rabbi, Sergej Stoppel, Christoph Trattner, Duc-Tien Dang-Nguyen IEEE Access, 2023. [Paper]
	ACM Multimedia Grand Challenge on Detecting Cheapfakes Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Michael Riegler, Pål Halvorsen, Chris Bregler, Balu Adsumilli ACM Multimedia, 2022. [Paper] [Code]
	Hybrid Transformer Network for Deepfake Detection Sohail Ahmed Khan, Duc-Tien Dang-Nguyen ACM International Conference on Content-Based Multimedia Indexing (CBMI), 2022. [Paper] [Code] [ * Best Paper Award Nominee]
	Video Transformer for Deepfake Detection with Incremental Learning Sohail Ahmed Khan, Hang Dai ACM Multimedia, 2021. [Paper] [Code]
	Analysing the Impact of Global Demographic Characteristics Over the COVID-19 Spread Using Class Rule Mining and Pattern Matching Wasiq Khan, Abir Hussain, Sohail Ahmed Khan, Mohammed Al-Jumailey, Raheel Nawaz, Panos Liatsis Royal Society Open Science, 2021. [I.F. 2.92] [Paper]
	Adversarially Robust Deepfake Media Detection Using Fused Convolutional Neural Network Predictions Sohail Ahmed Khan, Alessandro Artusi, Hang Dai *Preprint*, 2021. [Paper]
	Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis) Sohail Ahmed Khan, Wasiq Khan, Abir Hussain *International Conference on Intelligent Computing (ICIC)*, 2020. [Paper]