Kristina P. Sinaga, Ph.D.

Postdoctoral Researcher | ISTI-CNR | Founder, NeuralGlow.AI

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Professional Summary

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• Results-driven Applied Mathematics Ph.D. and Postdoctoral Researcher with 7+ years of experience in machine learning, data science, multi-view clustering, and federated learning for heterogeneous data systems.
• Expert in privacy-preserving machine learning, algorithm development, and statistical modeling for large-scale, multi-client environments.
• Proven track record of publishing in top-tier journals (IEEE, Elsevier, MDPI) and leading international research collaborations.
• Career Objective: To leverage advanced mathematical and AI expertise to drive innovation in data-driven organizations, focusing on AI research, data science, and applied machine learning roles.

Core Competencies

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• Machine Learning
• Data Science
• Federated Learning
• Multi-View Clustering
• Algorithm Development
• Statistical Analysis
• Dimensionality Reduction
• Python, R, MATLAB
• TensorFlow, PyTorch, scikit-learn
• Cloud Computing
• Docker, Git
• Data Integration
• Privacy-Preserving AI
• Research Leadership

Professional Experience

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Oct 2024 – Present	Postdoctoral Researcher, ISTI-CNR, Italy Designed and implemented advanced clustering algorithms for heterogeneous data, improving clustering accuracy by 20% in benchmark datasets. Led research on federated learning for multi-view data, resulting in 2+ publications and new privacy-preserving frameworks. Coordinated international research teams, enhancing project delivery and cross-institutional collaboration.
Nov 2020 – Apr 2022	Lecturer Specialist S3, Bina Nusantara University, Indonesia Delivered courses in Mathematics and Data Analysis to 200+ students, achieving a 35% increase in student engagement and improved completion rates. Supervised 10+ student research projects, fostering critical thinking and innovative problem-solving. Developed and updated curriculum materials to align with industry standards and emerging technologies.
Sep 2016 – Jun 2020	PhD Research Student, Chung Yuan Christian University, Taiwan Developed novel multi-view fuzzy clustering algorithms, published 6 journal articles, 2 preprints, and 4 conference papers (2,500+ citations). Presented research at 2 international conferences, building global academic networks. Collaborated with interdisciplinary teams to advance algorithmic optimization and data integration methods.

Education

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2016 – 2020	Ph.D., Applied Mathematics, Chung Yuan Christian University, Taiwan Research Focus: Multi-view clustering, dimensionality reduction, and algorithmic optimization Distinction: Graduated with honors; research published in multiple high-impact journals
2013 – 2015	M.Sc., Mathematics, University of Sumatera Utara, Indonesia Achievement: Developed novel stochastic optimization model for emergency service location problems
2008 – 2013	B.Sc., Mathematics, University of Sumatera Utara, Indonesia Achievement: Graduation with academic distinction; regional economic analysis research

Technical Skills

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Programming & Tools

• Python (NumPy, Pandas, SciPy, scikit-learn, TensorFlow, PyTorch)
• MATLAB, R, LaTeX
• Git, Docker, Cloud Computing (AWS, GCP)
• Linux, Bash, Jupyter

Research & Data Science

• Clustering Algorithm Development
• Privacy-Preserving Machine Learning
• Statistical Analysis & Modeling
• Multi-view Data Integration
• Dimensionality Reduction
• Federated Learning

Certifications & Awards

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• Mathematics Exceptional Reviewers List 2025 – Selected by MDPI for outstanding peer review contributions in mathematics journals.
• Graduated with Honors, Ph.D. in Applied Mathematics (2020) – Awarded for academic excellence and high-impact research at Chung Yuan Christian University.
• Featured as one of the Popular Documents in IEEE Access (2020–Present) – Recognized for significant readership and influence in the IEEE Access journal.

Selected Publications

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• Federated Multi-View K-Means Clustering, IEEE TPAMI (2025)
• Unsupervised k-means clustering algorithm, IEEE Access (2020)
• A feature-reduction multi-view k-means clustering algorithm, IEEE Access (2019)
• Complete list available on Google Scholar

Languages

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English	Advanced Professional (CEFR C1)
Bahasa Indonesia	Native (CEFR C2)
Mandarin	Basic (CEFR A1)