Research and Diagnostics:- Automated patient assessment: Developed methodologies for automated evaluation of patients with speech and language impairments.- Personalized diagnostics: Tailored assessment techniques to provide individualized diagnosis and prognosis.Theoretical Knowledge and Application:- Neurolinguistic modeling: Deepened understanding of the relationship between brain and language functions.- Theoretical frameworks: Contributed to and informed theoretical models that elucidate the nexus between neurological processes and linguistic capabilities.Patient Care and Management:- Prognostic expertise: Delivered predictions regarding the potential progression and outcomes for patients with speech and language impairments.Interdisciplinary Collaboration:- Bridging neuroscience and linguistics: Collaborated across disciplines to merge insights from brain science with language theory for a comprehensive understanding.Educational Leadership:- Academic instruction: Taught specialized courses in Speech and Language Pathology and Neuroscience.- Student mentorship: Supervised MA students' theses in Speech and Language Pathology, providing guidance and critical feedback.Professional Involvement and Leadership:- Event coordination: Organized and chaired conferences and special sessions, ensuring productive discussions and fostering interdisciplinary collaboration.- Academic committee participation: Engaged actively in academic committees, shaping curriculum, research directives, and institutional strategies.

- Conceptualized "OBAI" as a sophisticated platform for computational language assessment, and provided scientific and technical expertise. - Tailored for clinicians and educators, it seamlessly analyzes human language, evaluates linguistic performance, and delivers diagnostic insights. - Developed the platform, architecting the machine learning algorithms and seamlessly embedding them into a web interface powered by Django, PostgreSQL, HTML, and CSS.

Research and Development:- Developed an automated classification system using neural networks and NLP (utilizing tools such as spaCy, NLTK, and HuggingFace) to identify patients with dementia based on speech and language patterns.- Conducted MRI and fMRI analysis for deeper medical insights.- Spearheaded multi-label classification projects leveraging deep neural networks.- Led health diagnostics research projects, making substantial contributions in design, data acquisition, analysis, and interpretation. Played key roles in drafting and critically revising work to ensure important intellectual content.Technical Expertise:- Proficient in Python, TensorFlow, Matplotlib, Pandas, and Scipy.Specializations:- Computational Linguistics- Acoustic Analysis and Annotation- Neurolinguistics- Digital Health- Alzheimer’s Disease and Language DisordersAchievements:Published 10 peer-reviewed journal articles and presented 20 papers at conferences.Released Python code for 5 projects

Machine Learning and Artificial Intelligence:- Developed machine learning algorithms for dialect identification and emotion recognition from speech.- Proficient in Transformers, BERT, ALBERT, and Word Embeddings like Word2Vec.- Extensive knowledge in Natural Language Processing (NLP), Natural Language Understanding (NLU), and Automatic Speech Recognition (ASR).Speech Analysis and Processing:- Executed automatic segmentation of speech into vowels and consonants.- Conducted speech transcription, analysis of prosody, intonation, and speech analytics.- Specialized in speech and language pathology, as well as speech production.Text Analysis and Document Processing:- Undertook latent semantic analysis, keyword, entity, and relationship extraction.- Engaged in topic modeling, document parsing and tagging, and document clustering.Teaching and Publications:- Instructed courses on NLP, Probability Theory, and University-level teaching.- Published 8 peer-reviewed journal articles and presented over 10 conference papers.Data and Statistical Analysis:- Adept at data analysis, statistics, statistical modelling, and SQL.

Speech Analysis and Recognition:- Developed methodologies for dialect and language identification from speech productions.- Advanced authorship identification techniques.- Analyzed speech prosody for enhancing automatic dialect recognition.- Specialized in emotion recognition through speech analysis.Skills and Competencies:- Analytical Skills: Proficient in data analysis and deriving insights from complex datasets.- Communication: Effectively convey ideas, findings, and complex information to diverse audiences.- Advanced Writing: Demonstrated expertise in grant writing and formal documentation.- Critical Thinking: Evaluate information and situations logically to make informed decisions.- Decision-making: Aptitude to choose the best course of action among various alternatives.- Problem Solving: Efficiently identify challenges and formulate effective solutions.Leadership and Management:- Demonstrated leadership qualities and fostered teamwork.- Proven experience in project management.- Imparted knowledge and skills through teaching roles.Publications:- Authored two articles in peer-reviewed journals and conference proceedings.

Teaching and Course Design:- Knowledge Dissemination: Passionately instructed undergraduate and graduate students in Phonetics, Statistics, Sociolinguistics, and Phonology.- Curriculum Development: Designed comprehensive course curricula tailored to engage students and foster deep understanding.- Student Assessment: Implemented innovative assessment strategies, including the use of questionnaires, to gauge student comprehension. Resulted in measurable improvements in course performance.Research and Analysis:- Experimental Design: Spearheaded large-scale research exploring the effects of dialects on speech production, particularly focusing on vowels and consonants. Meticulously conceptualized the study framework and designed the experiments.- Data Collection: Successfully gathered speech data from diverse speakers in Greece and Cyprus.- Advanced Analysis: Employed state-of-the-art signal processing and machine learning techniques to rigorously analyze speech productions.Academic Contributions:- Conference Presentations: Disseminated research findings at esteemed conferences, including Interspeech.- Publications: Authored and contributed to articles published in reputable journals, furthering the academic discourse in the field.Supervision and Mentorship:- Guided students through academic challenges, ensuring a comprehensive grasp of course materials and facilitating their growth as independent researchers.