Dr. Ashraful Kadir is an interdisciplinary technology strategist, researcher, educator, and innovation leader with more than 15 years of experience spanning applied and computational mathematics, scientific computing, enterprise systems, AI-driven platforms, digital transformation, and human-centered technological innovation.
He currently serves as an Assistant Professor in the Department of Computer Science and Engineering (CSE) at the University of Liberal Arts Bangladesh, where he teaches courses related to data structures, algorithms, operating systems, database systems, and sustainability-oriented interdisciplinary studies.
Dr. Kadir completed his PhD in Applied and Computational Mathematics with specialization in Numerical Analysis from KTH Royal Institute of Technology. His academic and professional background combines computational mathematics, scientific computing, software engineering, enterprise-scale data systems, AI systems architecture, and interdisciplinary research across technology, design, society, and culture.
Before joining ULAB, he worked across academia, scientific research, software engineering, and innovation environments in Bangladesh, Sweden, Spain, and international remote settings. His experience includes research in numerical analysis and computational modeling at the Basque Center for Applied Mathematics, enterprise systems engineering in the telecom sector, AI and data infrastructure consulting, and the development of interdisciplinary research and innovation initiatives across AI, XR, IoT, foresight, and institutional design.
His current interests focus on distributed and agentic AI systems, intelligent digital infrastructure, computational modeling, knowledge systems, human-centered technology design, and future-oriented technological and institutional systems.
Bachelor of Science, Computer Science and Engineering (CSE)
School of Science & Engineering
PhD, Applied & Computational Mathematics (Specialization in Numerical Analysis)
KTH Royal Institute of Technology, 2017
Thesis: Numerical Methods for Molecular Dynamics with Nearly Crossing Potential Surfaces
Degree of Licentiate, Applied & Computational Mathematics
KTH Royal Institute of Technology, 2014
Thesis: Error Estimation and Adaptive Methods for Molecular Dynamics
MSc, Scientific Computing
KTH Royal Institute of Technology, 2010
Thesis: Geometric Shape Preservation in Adaptive Refinement of Finite Element Meshes
MBA (Finance & Banking)
Southeast University, 2008
BSc, Computer Science & Engineering
University of Dhaka, 2005
- Distributed and Agentic AI Systems
- Computational Modeling and Scientific Computing
- Intelligent Digital Infrastructure and Knowledge Systems
- AI Architecture and Decision-Support Systems
- Data Systems and Enterprise Integration
- XR, IoT, and Emerging Interactive Technologies
- Human-Centered Technology Design
- Digital Transformation and Institutional Innovation
- Sustainability, Systems Thinking, and Technology Futures
Dr. Kadir’s research spans computational mathematics, scientific computing, AI systems, and interdisciplinary technology studies. His doctoral and postdoctoral research focused on numerical analysis, molecular dynamics, adaptive computational methods, computational geometry, mathematical modeling, artificial intelligence, forecasting, and simulation systems.
His recent work explores distributed and agentic AI architectures, enterprise knowledge infrastructure, intelligent digital systems, and computational approaches to organizational and technological transformation. He is particularly interested in the intersection of AI systems, human-centered design, sustainability-oriented technologies, and future institutional models.
Alongside his technical research, Dr. Kadir has pursued extensive interdisciplinary postdoctoral studies across immersive technologies, digital culture, foresight and scenario design, trend analysis, development studies, participatory methodologies, fine arts, photography, and creative practice, contributing to a broader human-centered perspective on technology and innovation.
Dr. Ashraful Kadir has worked across academia, scientific research, enterprise technology, and interdisciplinary innovation environments in Bangladesh, Sweden, Spain, and international remote settings.
He worked as a doctoral researcher and educator at KTH Royal Institute of Technology, conducting research in numerical analysis, computational modeling, and molecular dynamics while also teaching scientific computing and applied numerical methods.
He later served as a Visiting Postdoctoral Fellow at the Basque Center for Applied Mathematics, where he contributed to interdisciplinary computational research involving simulation systems, geometric modeling, and advanced computational workflows integrating scientific computing and AI-oriented methodologies.
Earlier in his career, he worked in enterprise and telecom-scale technology environments, including at Banglalink, where he contributed to large-scale provisioning, mediation, billing, ETL, and data warehousing systems.
In recent years, his work has increasingly focused on AI systems, innovation strategy, and interdisciplinary research and development. He has led and co-founded multiple international initiatives and ventures involving distributed AI systems, knowledge infrastructure, XR/IoT experimentation, foresight, and human-centered technological innovation across Bangladesh, Sweden, and the United States.
- Kadir, A. (2024). Latin American Music and Global Youth Identity Formation. Bachelor Thesis, Stockholm University.
- Kadir, A. (2016). Numerical Methods for Molecular Dynamics with Nearly Crossing Potential Surfaces. PhD Thesis, KTH Royal Institute of Technology.
- Bayer, C., Kadir, A., et al. (2015). Computational Error Estimates for Born–Oppenheimer Molecular Dynamics. Applied Mathematics Research Express.
- Kadir, A. (2014). Error Estimation and Adaptive Methods for Molecular Dynamics. Licentiate Thesis, KTH Royal Institute of Technology.
- Kadir, A. (2010). Geometric Shape Preservation in Adaptive Refinement of Finite Element Meshes. MSc Thesis, KTH Royal Institute of Technology.
- Data Structures
- Algorithms Lab
- Database Management Lab
- Operating Systems Lab
- Environment & Sustainability
- Applied Numerical Methods
- Scientific Computing
- Computational Modeling