Rate My Professor Marc Adam

Marc T. P. Adam is an Associate Professor in Computing and Information Technology at the School of Information and Physical Sciences, within the College of Engineering, Science and Environment at the University of Newcastle, Australia. He obtained his undergraduate degree in Computer Science and Diploma of Computer Science from the University of Applied Sciences Würzburg-Schweinfurt, Germany, followed by a PhD in Information Systems (Dr. rer. pol.) from the Karlsruhe Institute of Technology, Germany. His academic career includes serving as Assistant Professor (Akademischer Rat, A13) at the Karlsruhe Institute of Technology's Institute of Information Systems and Marketing from July 2012 to January 2014, and as Postdoctoral Researcher at the same institute from September 2010 to June 2012. Prior roles also encompass receipt of internal grants such as the New Staff Grant, Faculty Small Grant Scheme, PVC Conference Assistance Grant, and Linkage Pilot Research Grant from the Faculty of Science at the University of Newcastle between 2015 and 2016.

Adam's research centers on human-centred computing and human-computer interaction (80% focus), alongside applications in health (20%), with keywords including behavioral cybersecurity, design science research, health applications of IT, human-computer interaction, and information systems. He engages in interdisciplinary collaborations across computing, business, health sciences, and psychology. Key publications feature book chapters like "Competitive arousal: Sources, Effects, and Implications" (2022, with Ku G), "Understanding emotions in electronic auctions: Insights from neurophysiology" (2021, with Kraemer J), "On the potency of online user representation: Insights from the sharing economy" (2021, with Teubner T and Hawlitschek F), and conference papers such as "Digital nudging for healthy food choice in online grocery shopping: Insights from an interview study" (2024), "The Role of Human Factors in Cybersecurity Incident Management" (2025), "Affective information processing of fake news: Evidence from neuroIS" (2020), "Using deep learning and 360 video to detect eating behavior for user assistance systems" (2018), and "Remote photoplethysmography: Evaluation of contactless heart rate measurement in an information systems setting" (2017). As principal investigator or team member, he has contributed to grants on personalised nutrition assessment, impact of nature imagery on food choices, m-health for Indigenous women and children, intelligent dictionary generation for financial news, affective processes in market interactions, and unobtrusive heart rate measurements, from 2014 to 2025. Adam has supervised 14 completed higher degree by research students and one ongoing PhD. He received the Inaugural DVC(A) Merit List Award for Teaching and Learning Excellence in 2020 and is internationally recognised for his human-computer interaction research. In teaching, he delivers courses on big data analytics, human-centred computing, ICT business analysis, experimental design, and statistical data analysis.