Frank Mark

Frank Mark is a Professor in the Department of Communications at the University at Buffalo (College of Arts and Sciences), with an affiliation to the Institute for Artificial Intelligence and Data Science. He holds a PhD and specializes in computational research, natural language processing, and social science with a focus on nonverbal communication dynamics. His work integrates interdisciplinary methods to study deception detection, facial expression analysis, and multimodal data systems.

Research interests prominently include automated facial action coding, intergroup emotions, and the role of nonverbal cues in deception. His publications explore topics like rapport modeling in interviews, evolutionary signals of attraction, and the development of databases like DBATES for analyzing debate speeches' audio, text, and visual features. He has contributed to peer review processes and academic journal governance, emphasizing transparency and data literacy in scholarly communication.

Frank Mark's recent work emphasizes technological applications in behavioral analysis, such as laser Doppler vibrometry for facial muscle measurement, and the ethical implications of open data systems. His research bridges computational modeling with psychological insights to address real-world challenges in communication, deception, and social interaction.