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.
Latest News
View ArchiveFSE Impact Award 2025
My student has won the Faculty of Science and Engineering Impact Award 2025 (Student category) at the University of Groningen…
NWO-VENI Grant Awarded
Excited to share that I have been awarded a VENI Grant (320.000€) by the NWO (Dutch Research Council) to advance…
Research Interests
Investigating the intersection of human cognition and artificial intelligence to understand the complexities of human language.
AI & NLP
Developing robust machinelearning models that can process and understand natural language in clinical settings with limited data.
Learn morePsycho-/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 moreSpeech 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,…
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