Maria Susan Anggreainy is an interdisciplinary academic and computer scientist specializing in advanced soft computing, natural language processing (NLP), psychoinformatics, and healthcare artificial intelligence (AI). In addition to her academic career, she has more than six years of professional experience as a software engineer in industry, enabling her to bridge theoretical research with practical implementation in real-world AI systems. She is particularly interested in the integration of advanced soft computing and human-centered computing to address complex societal and healthcare challenges. Her research activities focus on the development of adaptive and interpretable AI models capable of supporting decision-making processes in multidisciplinary environments.
Educational Background
Her research focuses on advanced soft computing techniques in the field of bioinformatics, and she earned her doctoral degree (S3) in computer science from Universitas Indonesia.
Her research focused on advanced soft computing for image processing and computer vision, and she completed her master’s degree (S2) in computer science at Universitas Indonesia.
Her undergraduate research focused on software engineering development for healthcare applications, and she obtained her bachelor’s degree (S1) in computer science from IPB University.
Research Focus: Advanced Soft Computing, Natural Language Processing (NLP), Health AI, Psychoinformatics, Bioinformatics
Teaching
Research
Publication
Research
Publication
Intellectual Property
Community Services
Personal Development
Certification
Industry Sector
Achievement
Dr. Anggreainy has successfully secured multiple competitive research grants:
2025 – Ministry of Research and Higher Education (Kemenristekdikti) Grant
- Role: Research Member
- Project Title: Model Prediksi Pemetaan Tangkapan Ikan Tuna berbasis Big Data dan Machine Learning
- Focus: Big-data-based predictive modeling for tuna catch mapping to support sustainable fisheries.
2025 – BINUS International Research Grant (PIB)
- Role: Principal Investigator
- Title: Developing AI Models for Stress Level Prediction and Recommendations for Higher Education
- Focus: AI-based stress prediction and recommendation systems for academic environments.
2024 – BINUS International Research Grant (PIB)
- Role: Principal Investigator
- Title: Mental Health Detection Using Machine Learning and Deep Learning Approaches
- Focus: ML and DL frameworks for detecting mental health conditions from behavioral data.