Courses:

• Computer Systems
  • Spring 2025 and 2026
  • Part-time lecturing
  • Managing, supervising, and grading labs for approximately 300 students
    

Master's Thesis Supervision:

• Min Huang, An Agentic Vision-Language Approach for Multi-View Object Association in Industrial Pallet Inspection, Thesis in Data Science, Statistics and Decision Analysis, Stockholm University, Sweden, Main Supervisor: Alfreds Lapkovskis (October 2026)
• George Ambroladze, Dénes Tóth, Active Inference for Intelligent Traffic Light Control, Thesis in Data Science, Statistics and Decision Analysis, Stockholm University, Sweden, Main Supervisor: Alfreds Lapkovskis (June 2026)
• Samyah Ramadan A Ahmadaldeen, Reena Richard, Interpretable Antimicrobial Peptide Identification using Retrieval-Augmented Generation, Thesis in Artificial Intelligence for Health, Stockholm University, Sweden, Main Supervisor: Alfreds Lapkovskis (June 2026)
• Shivam Gera, Structural Fault Tolerance in Heterogeneous Financial AI Systems under Adversarial Signal Injection, Thesis in Computer and Systems Sciences, Stockholm University, Sweden, Main Supervisor: Alfreds Lapkovskis (June 2026)

• Distributed Computing
• Distributed Systems
• Computing Continuum
• Artificial Intelligence
• Machine Learning

Published:

Ye, P., Lapkovskis, A., Saleh, A., Zhang, Q. and Donta, P.K., 2026, July. NeSy-Edge: Neuro-Symbolic Trustworthy Self-Healing in the Computing Continuum. In 2026 IEEE International Conference on Edge Computing and Communications (EDGE). IEEE.

Akoi Deng, A., Butkus, E., Lapkovskis, A. and Donta, P.K., 2026. Adaptive AI Task Partitioning and Safe Offloading in Heterogeneous Edge-Cloud Continuum. In Availability, Reliability and Security. ARES 2026 International Workshops.

Donta, P.K., Lapkovskis, A., Mingozzi, E. and Dustdar, S., 2026. Resilient by Design--Active Inference for Distributed Continuum Intelligence. In 2026 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE.

Lapkovskis, A., Sedlak, B., Magnússon, S., Dustdar, S. and Donta, P.K., 2025, July. Benchmarking dynamic slo compliance in distributed computing continuum systems. In 2025 IEEE International Conference on Edge Computing and Communications (EDGE) (pp. 93-102). IEEE.

Lapkovskis, A., Nefedova, N. and Beikmohammadi, A., 2025. Automatic fused multimodal deep learning for plant identification. Frontiers in Plant Science, 16, p.1616020.

Accepted:

De Silva, S., Lapkovskis, A., Saleh, A., Tarkoma, S. and Donta, P.K., 2026. An Uncertainty-Aware Resilience Micro-Agent for Causal Observability in the Computing Continuum. arXiv preprint arXiv:2605.10718.

Toth, D., Ambroladze, G., Sundberg, E., Beikmohammadi, A. and Lapkovskis, A., 2026. Active Inference for Adaptive Traffic Signal Control in Noisy Nonstationary IoT Environments. arXiv preprint arXiv:2606.13698.

Under Review:

Lapkovskis, A., Beikmohammadi, A., Magnússon, S. and Donta, P.K., 2026. User-Assisted Collaborative Distributed Inference for Efficient QoS-Aware Autoscaling. arXiv preprint arXiv:2608.11840.

Donta, P.K., Sedlak, B., Lapkovskis, A., Saleh, A., Li, Y., Pujol, V.C., Murturi, I., Tarkoma, S. and Dustdar, S., 2026. A Taxonomy of Performance Metrics for the Distributed Computing Continuum. arXiv preprint arXiv:2607.28407.

Lapkovskis, A., Beikmohammadi, A., Magnússon, S. and Donta, P.K., 2026. Brief Announcement: Generative Markov Model for Distributed Computing Systems. arXiv preprint arXiv:2606.03061.