Talk by Sarang Shaikh

Title

Predicting and Improving Technology Acceptance for Border Control Technologies

Abstract

The growing reliance on border control technologies (BCTs) in European Union (EU) border crossing points (BCPs) aims to enhance security and efficiency amid increasing international travel. However, their successful adoption remains a challenge due to user experience, data privacy, protection concerns, and usability-related issues, which impact technology and user acceptance. Existing technology acceptance model (TAM)s, while widely used across several domains, fail to capture real-world complexities such as situational factors, diverse user demographics, and evolving user perceptions affecting the technology acceptance. To address these limitations, we will discuss a data-driven, artificial intelligence (AI)-based integrated decision-support framework for predicting and improving BCTs acceptance.

Speaker

Sarang Shaikh

Speaker Biography

Sarang Shaikh earned his Doctoral degree in Information Security from the Norwegian University of Science and Technology (NTNU), Gjøvik, in June 2025. He previously completed a Masters degree in Computer Science with a Gold Medal from Sukkur IBA University, Pakistan, in 2020. He is currently serving as a Postdoctoral Fellow in the Department of Information Security and Communication Technology at NTNU, Gjøvik, where he contributes to the EU-funded cPAID project. His earlier doctoral work formed part of the EU-funded METICOS project. His research interests span applied artificial intelligence, natural language processing, machine learning, deep learning, modeling and simulation, and technology-enhanced learning, with a strong focus on interdisciplinary and application-driven AI.