Impact and research
Research that sharpens real architecture decisions.
Explore the research foundation behind scalable data systems, distributed platforms, and production architecture. If you want to understand the thinking that informs Martin Stufi's work in real delivery environments, this page gives you the key publications, doctoral context, and practical implications.
Research in practice
Distributed systems, AI-ready infrastructure, and production architecture viewed through both academic rigor and delivery responsibility.
Scholar profile
Selected academic works and research output.
A focused overview of publications around distributed systems, large-scale data processing, public-sector information systems, and production-oriented architecture.
Google Scholar- Martin Stufi, Ph.D.
Preprint
Designing a real-time iot data streaming testbed for horizontally scalable analytical platforms: Czech post case study
M Štufi, B Bačić
arXiv preprint arXiv:2112.03997
Open publicationJournal article
Big data analytics and processing platform in Czech Republic healthcare
M Štufi, B Bačić, L Stoimenov
Applied Sciences 10 (5), 1705
Open publicationPreprint
Big data architecture in Czech Republic healthcare service: requirements, TPC-H benchmarks and Vertica
M Štufi, B Bačić, L Stoimenov
arXiv preprint arXiv:2001.01192
Open publicationResearch reference
Big data architecture in Czech Republic healthcare service
M Štufi, B Bačić, L Stoimenov
Open publicationAcademic paper
Designing distributed controlling testbed system for supply chain and logistics in automotive industry
M Štufi, A Panajotović, L Stoimenov
Facta Universitatis, Series: Automatic Control and Robotics 1 (3), 147
Open publicationResearch reference
Implementing an Effective Public Administration Information System: State of PAIS in the Czech Republic and its potential application in the Republic of Serbia
M Štufi, N Veljković, S Bogdanović-Dinić, L Stoimenov
Open publicationResearch reference
Practical experience with the change management process in software development
M Štufi, D Rančić, M Ćirić, A Stanimirović, L Stoimenov
Open publicationDissertation archive
Predlog Arhitekture Sistema Visokih Performansi za Generalnu Obradu Podataka na Klasterima za Podatke Velikog Obima
MT Štufi
PQDT-Global
Open publicationDoctoral foundation
A Ph.D. focused on scalable, general-purpose data processing.
The doctoral work centered on high-performance, horizontally scalable, and general-purpose data-processing systems for big-data clusters. That is the research backbone behind today's work in AI-ready platforms, cloud-native systems, and resilient enterprise architecture.
University University of Nis, Faculty of Electronic Engineering, Serbia
Period 2016-2022
Open dissertation
Thesis proposal for direct review
The proposal captures the architectural direction, research scope, and technical framing behind the doctoral work.
Open thesis proposalPh.D. dissertation
Architecture design for a high-performance and general-purpose data processing system on big data clusters.
The research explored how systems can stay fast, scalable, and governable at the same time, which is exactly the architectural tension found in modern AI/ML infrastructure, distributed cloud platforms, and mission-critical delivery environments.
01
Distributed systems architecture
Cluster-oriented system design, orchestration, and architectural control across demanding data environments.
02
Horizontal scalability
Architectures built to scale by distribution, not by relying on fragile vertical growth.
03
High-performance data pipelines
Processing patterns optimized for throughput, large-scale datasets, and operational consistency.
04
Resilience and recovery
Fault tolerance, recovery behavior, and engineering for systems that remain workable under failure.
Why it matters in practice
Research that stays useful once the system meets reality.
The value of this academic path is not abstract prestige. It is a way of thinking about throughput, resilience, recovery, and architectural trade-offs with more rigor than typical advisory work can offer on its own.
AI and machine-learning infrastructure
Cloud-native and distributed platforms
Data-intensive and high-throughput systems
Mission-critical enterprise architecture
Academic base
Master's degree in Information Technology
University of Nis, Faculty of Electronic Engineering, Serbia · 1992-1998
- Algorithms and computational theory
- Software engineering, information systems, and systems analysis
- Data modeling, database systems, and distributed environments
- Computer networks, operating systems, and system architecture
Early engineering context
Research credibility grounded in production systems
Before senior architecture leadership, the work was already close to integration, databases, and high-throughput platforms.
- Logica: solution architecture for next-generation telecommunications platforms
- Project and interface management for OMS systems
- SITRONICS: Oracle and Microsoft SQL Server engineering
- Schema design, SQL/PLSQL development, and performance optimization
Academic collaboration
Open to research collaboration, keynote speaking, and expert dialogue.
If you are organizing a conference, academic discussion, guest lecture, institutional workshop, or research-oriented advisory conversation, the best next step is a direct enquiry.