Academic curriculum vitae · Updated 30 September 2026

Siavash H. Khajavi

Assistant Professor of Operations Management · Aalto University
Founder and CEO · Detectium Oy

Research at the intersection of operations management, digital twins and multimodal artificial intelligence.

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Research focus

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43peer-reviewed outputs
3,792Google Scholar citations
2,749citations since 2021
2completed doctorates
€300ktenure-track funding as PI
€816,952EIT Digital activities managed

Profile

One programme across three research traditions

My work connects operations management with multimodal artificial intelligence. It began with the structure of distributed manufacturing and digital spare-parts supply chains, expanded into the boundaries and engineering of digital twins, and now asks how machines can reason across visible, thermal and simulated evidence.

The connecting problem is practical: how to represent an operation well enough that people and AI systems can understand its state, make a defensible decision and act safely.

Career

Academic research, industrial delivery and company building

Assistant Professor of Operations Management

Aalto University · Department of Industrial Engineering and Management

Tenure-track group leader and responsible teacher for Advanced Operations Management.

Founder and CEO

Detectium Oy · Helsinki

Commercialising digital-twin data generation and multimodal AI detection for safety-critical environments.

Postdoctoral researcher and project manager

Aalto University

Led and delivered four EIT Digital innovation activities with European industrial partners.

Visiting postdoctoral researcher

Nanyang Technological University · Singapore

Research on additive manufacturing and supply-chain complexity.

Visiting doctoral researcher

University of Nottingham · United Kingdom

Industrial polymer additive-manufacturing experiments at the Centre for Additive Manufacturing.

Doctoral researcher

Aalto University

Operations-management research on additive manufacturing and digital spare parts.

Research assistant

Aalto University · BIT Research Centre

Aerospace spare-parts research that became the MSc thesis and a signature publication.

Education

Two doctorates and an operations-management foundation

PhD · Digital Technology and Entrepreneurship

EIT Digital Doctoral School · Industrial track

Business Development Analysis for a European Tech Startup

PhD · Industrial Engineering and Management

Aalto University · School of Science

Aalto Dissertation Award 2019 · top 10% of doctoral dissertations

MSc · Industrial Engineering and Management

Aalto University · Service Management and Engineering

Two national best-thesis prizes

Funding and delivery

Research translated into working programmes

2024–present €300,000

Tenure-track research funding

Managed independently as principal investigator, supporting the group’s research and doctoral work.

2018–2023 €816,952

Four EIT Digital activities

All delivered successfully, spanning cyber-physical software, lighting simulation, digital-twin safety and AI for fire prevention.

Built by Data Get Home Safely Digital Twin for Safety AI for Fire Prevention

Selected work

Selected contributions, with role and substance visible

Browse all publications

10 selected contributions shown

P1 DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding NeurIPS 2025 · Datasets and Benchmarks 2025

Liu, Z., Khajavi, S.H., Jiang, G.

Contribution
An open multimodal resource with 22,500 images, 2,500 videos and paired vision-language annotations, released with trained baseline models.
Role
Senior and corresponding author; set the research question, funding and design, and supervised the first author.
Format
Dataset and conference paper
P2 Vision–language model-enabled cyberphysical link: emerging possibilities for production and operations management International Journal of Production Research 2026

Khajavi, S.H., Jaribion, A., Liu, Z., Wuest, T., Agrawal, T.K., Tiitola, V., Holmström, J.

Contribution
Maps vision-language models onto the cyber-physical link in production and operations management and identifies where reasoning has advanced beyond observation.
Role
First author; originated the framing and led an international author team.
Format
Journal article
P3 Multimodal anomaly estimation and synthetic fire-detection data WO 2024/149936 A1 and Finnish application FI 20237144 2023–2024

Khajavi, S.H.

Contribution
Methods that fuse thermal, image and 3D-model data to locate anomalies and generate training data where real observations are difficult to collect.
Role
Sole inventor and founder of Detectium Oy, the commercial route for the methods.
Format
Patent applications
P4 Targeting Misalignment: A Conflict-Aware Framework for Reward-Model-based LLM Alignment AAAI 2026 2026

Liu, Z., Khajavi, S.H., Jiang, G., Liu, X.

Contribution
A method for handling conflicting objectives when aligning models to reward signals.
Role
Senior author; supervised the work in the research group.
Format
Conference paper
P5 LLaVA-SCo: Teach Vision Language Models to Self-Correct CVPR 2025 Workshops 2025

Liu, Z., Jiang, G., Khajavi, S.H.

Contribution
An efficient mechanism by which a vision-language model detects and repairs its own errors.
Role
Senior author and supervisor of the work.
Format
Workshop paper
P6 RGB-Th-Bench: A Dense Benchmark for Visual-Thermal Understanding of Vision Language Models arXiv:2503.19654 2025

Moshtaghi, M., Khajavi, S.H., Pajarinen, J.

Contribution
More than 1,600 expert-annotated questions across 14 skills, testing 19 vision-language models on reasoning that requires a non-visible modality.
Role
Co-author; designed the evaluation.
Format
Open benchmark
P7 Digital Twin and Computer Vision Combination for Manufacturing and Operations Applied Sciences 15(18), 10157 2025

Faqeer, H.A., Khajavi, S.H.

Contribution
A PRISMA review of 29 studies combining digital twins and computer vision in operations.
Role
Senior and corresponding author; framed and directed the review.
Format
Systematic review
P8 Additive manufacturing in the spare parts supply chain Computers in Industry 65(1), 50–63 2014

Khajavi, S.H., Partanen, J., Holmström, J.

Contribution
Shows that distributed additive manufacturing can change the structure of a supply chain rather than only its cost.
Role
First author; conceived the study, built the model and ran the analysis. The work grew from the MSc thesis.
Format
Journal article
P9 Digital Twin: Vision, Benefits, Boundaries, and Creation for Buildings IEEE Access 7, 147406–147419 2019

Khajavi, S.H., Motlagh, N.H., Jaribion, A., Werner, L.C., Holmström, J.

Contribution
Extends digital twins to building lifecycles and specifies both what a twin can represent and where its boundaries lie.
Role
First author; led the conceptual framing and the sensor-based prototype.
Format
Journal article
P10 Hybrid digital manufacturing: Capturing the value of digitalization Journal of Operations Management 69(6), 890–910 2023

Stark, A., Ferm, K., Hanson, R., Johansson, M., Khajavi, S.H., Medbo, L., Öhman, M., Holmström, J.

Contribution
Theorises how digital and physical production capabilities combine to create value.
Role
Co-author; responsible for the manufacturing and operations analysis.
Format
Journal article

The selected record and citation totals are taken from the supplied CV and Google Scholar snapshot dated 30 September 2026. The full publication record separates article evidence from AJG, ICORE and SJR venue classifications instead of combining them into a single score.

Recognition and contribution

Evidence beyond publication counts

Recognition

Aalto Dissertation Award

School of Science, 2019 · awarded to the top 10% of doctoral dissertations.

Supervision

Doctoral and master’s researchers

One completed doctorate in 2026, two continuing doctoral researchers, and three master’s theses supervised to completion.

Teaching

Operations, AI and entrepreneurship

Responsible teacher for Advanced Operations Management and co-developer of AI Agents and the Real World, with 29 ECTS of pedagogical training.

Open science

Datasets, benchmarks and code

Open resources accompany work on fire understanding, self-correcting vision-language models and visual-thermal reasoning.

Industry

Research with a route to practice

Collaborations with KONE and ABB, four EIT Digital innovation activities, two patent families and the Detectium spin-out.

Community

Reviewing and conference leadership

Reviewer for Journal of Operations Management, Computers in Industry and Internet of Things; workshop and minitrack leadership for 2027.