Kristina P. Sinaga, Ph.D.

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

"Better to be hated for telling the truth than loved for living in a lie. Integrity in research and life builds lasting foundations."

— Personal Philosophy

Professional Summary

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

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

Oct 2024 – Present	Postdoctoral Researcher, ISTI-CNR, Italy Currently developing advanced clustering algorithms for heterogeneous data analysis and privacy-preserving machine learning frameworks. Leading research on federated learning for multi-view data with focus on novel algorithmic approaches and theoretical foundations. Actively collaborating with international research teams on cutting-edge projects in machine learning and data science.
Apr 2024 – Sep 2024	Independent Researcher, Self-Directed Research Conducted independent research in machine learning and clustering algorithms, demonstrating self-motivation and research autonomy. Successfully secured arXiv endorsement and published preprint, showcasing ability to produce quality research without institutional support. Maintained active research productivity during career transition, contributing to the advancement of algorithmic methodologies.
Mar 2023 – Mar 2024	Postdoctoral Fellow, Department of Applied Mathematics, Chung Yuan Christian University (CYCU), Taiwan Developed breakthrough single and multi-view clustering algorithms in both federated and non-federated environments, resulting in publication in IEEE TPAMI. Advanced theoretical foundations of privacy-preserving machine learning and federated clustering methodologies. Established novel algorithmic frameworks that significantly improved clustering performance in heterogeneous data environments.
Apr 2022 – Feb 2023	Professional Development & Continuous Learning, Self-Directed Professional Development Completed Machine Learning Specialization and DeepLearning.AI TensorFlow Developer Specialization on Coursera, strengthening foundation in modern AI frameworks. Pursued multiple specialized courses in machine learning, data science, and emerging technologies through continuous online learning. Engaged in strategic career planning and professional development, preparing for transition to advanced research positions.
Nov 2020 – March 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

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

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

Mathematics Exceptional Reviewers List 2025 – Selected by MDPI for outstanding peer review contributions in mathematics journals.
Machine Learning Specialization – Coursera (October 2022) – Comprehensive certification in machine learning fundamentals and applications.
DeepLearning.AI TensorFlow Developer Specialization – Coursera (November 2022) – Advanced certification in TensorFlow and deep learning implementation.
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

Federated Multi-View K-Means Clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (2024)
Unsupervised k-means clustering algorithm, IEEE Access (2020)
A feature-reduction multi-view k-means clustering algorithm, IEEE Access (2019)
Parameter-free entropy-regularized multi-view clustering with hierarchical feature selection, Under review (2025)
Soft Clustering Algorithms: A Systematic Review with Comparisons, Under review (2025)
Heat-Kernel Enhanced Multi-View Learning: A Unified Framework for Heterogeneous Data Analysis and Pattern Recognition, Under review (2025)
Complete list available on Google Scholar

Languages

English

Advanced Professional (CEFR C1)

Bahasa Indonesia

Native (CEFR C2)

Mandarin

Basic (CEFR A1)

References available upon request