Asistant Professor as University of Groningen

Frank Tsiwah , PhD

My research focuses on the neurophysiological and cognitive mechanisms underlying speech and language processing. I explore how speech and language impairments are encoded in audio signals and textual data, leveraging Natural Language Processing (NLP) and Machine Learning to detect and analyze these impairments. Using experimental, data-driven, and neurophysiological methods (e.g., EEG), I aim to understand disordered speech and language while developing innovative language technologies to support individuals with communication challenges. My work bridges Linguistics, Neuroscience, and AI to advance both theoretical understanding and practical applications.

Frank Tsiwah Photo
Focus Areas

Research Interests

Investigating the intersection of human cognition and artificial intelligence to understand the complexities of human language.

smart_toy

AI & NLP

Developing robust machinelearning models that can process and understand natural language in clinical settings with limited data.

Learn more arrow_forward
psychology

Psycho-/Neurolinguistics

I am interested in the behavioral and Cognitive Neuroscience of language. I primarily use techniques such as Electroencephalography (EEG), Electromyography (EMG) and behavioral methods, to…

Learn more arrow_forward
graphic_eq

Speech Processing

Analyzing acoustic features in disordered speech to identify biomarkers for early diagnosis of neurological conditions. I am also interested in neural mechanisms underlying speech processing,…

Learn more arrow_forward