Gender issues in software engineering education are gaining research attention due to the desire to promote female participation in the field. The objective of this work is to enhance the understanding of female students' participation in software engineering projects to support gender-aware course optimization. Since...
Anh Nguyen-Duc, M. L. Jaccheri, P. Abrahamsson· 2019 IEEE/ACM 41st Internati...· 9 citations
The first published version of StartCards is presented, which is considered useful for early-stage startups and can also be used as a pedagogical tool in startup education.
Kai-Kristian Kemell, Anh Nguyen-Duc, Mari Suoranta et al.· Information and Software Tec...· 25 citations· ⚡1
An LLM-based multi-agent system is indicated that an LLM-based multi-agent system is a capable solution to update components of a legacy application autonomously.
Valtteri Ala-Salmi, Z. Rasheed, Malik Abdul Sami et al.· arXiv.org· 3 citations
An LLM-based multi-agent system that autonomously upgrades legacy web applications to the latest versions and maintains context across tasks and agents, improving solution quality over the base model in some cases is proposed.
Valtteri Ala-Salmi, Z. Rasheed, Malik Abdul Sami et al.· International Conference on...· 4 citations
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An experience report from a small full-stack team that applied contextual prompting and explicit architectural constraints to build a multi-project agent learning platform designed for sustained, production-oriented use and an academic retrieval-augmented generation system is presented.
Md Nasir Uddin Shuvo, M. Islam, Mahade Hasan et al.· arXiv.org· 1 citation
Five domain-specific RAG applications developed for real-world scenarios across governance, cybersecurity, agriculture, industrial research, and medical diagnostics are presented, highlighting technical, operational, and ethical challenges affecting the reliability and usability of RAG systems in practice.
M. Hasan, Muhammad Waseem, Kai-Kristian Kemell et al.· EUROMICRO Conference on Soft...· 10 citations· ⚡1
A generalized Multimodal Subspace Support Vector Data Description model with graph-embedded regularization is proposed, illustrating how relational and structural information can be systematically embedded into one-class models, enabling robust learning under complex, high-dimensional, and multimodal conditions.
Thomas Debelle, F. Sohrab, Pekka Abrahamsson et al.· Scientific Reports· 1 citation
Securing AI systems is not a task any single discipline can accomplish alone; it requires sustained collaboration between machine learning researchers, cybersecurity professionals, and policymakers if AI technologies are to remain reliable, trustworthy, and resilient in adversarial environments.
Harsh Verma· International Journal of Sci...· 1 citation
This paper presents a privacy-by-design federated learning reference architecture for customer intelligence across telecom networks, in which each operator trains locally on its own CRM, billing, service-interaction, and network-telemetry data and shares only encrypted model updates, never raw records.
Brahmananda Naidu Dabbara· International journal of com...· 0 citations
ProMoE-FL, a Prototype-conditioned Mixture-of-Experts framework for robust missing-modality feature synthesis in multimodal federated learning with missing modality, builds a global client-aware prototype bank that captures clinically meaningful modality priors across institutions.
Aavash Chhetri, Bibek Niroula, Eduard Vazquez et al.· Lecture notes in computer sc...· 0 citations
This paper synthesizes the latest literature on the intersection of mobile health, machine learning, and physiological tracking, with a primary focus on heart rate variability (HRV) and associated biochemical markers, such as cortisol, salivary alpha-amylase, and interleukins.
Kwanjoon Park, Eunice Kwan Chae Park, W. Park et al.· Bioengineering· 0 citations
This work proposes FLEAT (Federated Learning Energy and Accuracy Tuning), a framework that jointly optimizes energy efficiency and model accuracy via dynamic local update adaptation and gradient-informed layer-wise pruning, offering a scalable solution for energy-accuracy equilibrium in heterogeneous FL deployments.
Javad Dogani, Reza Namvar, Masoumeh Khodarahmi et al.· IEEE Transactions on Mobile...· 0 citations
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
Learn how Google Antigravity and our Cheminformatics Skills accelerate drug discovery workflows, search compounds, and propose novel rigidified macrocycles.
MIT News · Artificial Intelligence· news.mit.eduOct 27, 2026
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
