Associate Professor

PhD in IT Management, KAIST, South Korea

Bio

Gohar has over 15 years of expertise in teaching, consulting, and researching digital technologies within multicultural teams. His research focus encompasses a broad spectrum, including data analytics and digital business/technologies, digital transformation, digital marketing, and the adoption and use of self-governing systems.

Gohar specializes in both quantitative and qualitative research methodologies, delving into areas such as social media analytics, digital transformation, data analytics, technology management, and information systems. Gohar’s diverse skill set, and extensive experience uniquely position him to contribute valuable insights and innovative perspectives to the ever-evolving landscape of digital technologies.

 
Office

Abu Dhabi Campus, FF2-0-014

Phone:

+971 2 599 3654

Email:
Teaching Areas

IT entrepreneurship, IT strategy, system analysis and design, digital transformation strategy and management.

Research and Professional Activities

Research Area(s)

Social media analytics

Digital business

Autonomous things

Network science

Refereed journal papers

Abdur Razaq, Babar Shah, Khan. G, Omar Alfandi, Abrar Ullah, Zahid Halim & Atta Ur Rahman (2023) “Improving Paraphrase Generation Using Supervised Neural-based Statistical Machine Translation  Framework,” Neural Computing and Applications, 2023 (Q1, IF:5.1)

Zahid Halim, Khan, G., Babar Shah, Rabia Naseer, Sajid Anwar, Ahsan Shah (2023) “On the Utility of Parents' Historical Data to Investigate the Causes of Autism Spectrum Disorder: A Data Mining-Based Framework”, Innovation and Research in BioMedical Engineering, 2023 (Q1, IF:5.5)

Ghaffari, M., Khan, G.F., Singh, S.P. et al. (2023) The impact of COVID-19 on online music listening behaviors in light of listeners’ social interactions. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-16079-1

Khan, G., Mohaisen, M. and Trier, M. (2019), “The network ROI: Concept, metrics, and measurement of social media returns (a Facebook experiment),” Internet Research, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/INTR-07-2018-0346

Khan, G. & Matthias Triers (2019): Assessing the long-term
fragmentation of information systems research with a longitudinal multi-network analysis, European Journal of Information Systems, DOI: 10.1080/0960085X.2018.1547853

Gohar Khan.JPG