Department of Computer Science Faculty & PhD Supervisors – KTH Royal Institute of Technology

🔬 Research Specialties & High-Demand Focus Areas in Department of Computer Science

Explore active research clusters and supervisor specializations in Department of Computer Science at KTH Royal Institute of Technology. Click any domain to view corresponding labs and faculty:

🔍 High-Performance GPU Distributed Model Training 🔍 Neural Architecture Search and Edge Quantization 🔍 Algorithmic Fairness 🔍 Continual and Lifelong Machine Learning 🔍 Time-Series Forecasting with Attention Networks 🔍 Federated Learning and Differential Privacy 🔍 Automated Code Generation and Program Synthesis 🔍 Deep Generative Models for Molecular Drug Design 🔍 Adversarial Robustness and Model Verification 🔍 Self-Supervised Learning from Unlabeled Video 🔍 Neuromorphic Computing and Event-Based Vision 🔍 Quantum Machine Learning Algorithms 🔍 Human-in-the-Loop Machine Learning Systems 🔍 Symbolic AI and Neuro-Symbolic Integration 🔍 Visual Question Answering and Multimodal LLMs 🔍 Bias Detection and Ethics in AI 🔍 Graph Neural Networks for Relational Reasoning 🔍 Angiogenesis Inhibition and Vessel Normalization

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Adam J***

Universitetsadjunkt

📊 0 citations • h-index —

Neural Architecture Search and Edge QuantizationDeep Generative Models for Molecular Drug DesignAutomated Code Generation and Program SynthesisNeuromorphic Computing and Event-Based Vision

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Adil M***

Professor

📊 0 citations • h-index —

Angiogenesis Inhibition and Vessel NormalizationGlioblastoma Stem Cells and RadioresistanceColorectal Cancer Mutational SignaturesDNA Damage Repair Pathways and PARP Inhibitors

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Adithya Raju G***

Universitetsadjunkt

📊 0 citations • h-index —

Adversarial Robustness and Model VerificationHigh-Performance GPU Distributed Model TrainingQuantum Machine Learning AlgorithmsNeural Architecture Search and Edge Quantization

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Ajinkya K***

Universitetsadjunkt

📊 0 citations • h-index —

Algorithmic FairnessBias Detection and Ethics in AIHuman-in-the-Loop Machine Learning SystemsContinual and Lifelong Machine Learning

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Albert Peralta A***

Universitetsadjunkt

📊 0 citations • h-index —

Continual and Lifelong Machine LearningQuantum Machine Learning AlgorithmsHuman-in-the-Loop Machine Learning SystemsHigh-Performance GPU Distributed Model Training

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Alberta L***

Universitetsadjunkt

📊 0 citations • h-index —

Quantum Machine Learning AlgorithmsAutomated Code Generation and Program SynthesisContinual and Lifelong Machine LearningAlgorithmic Fairness

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Aleksandra K***

Universitetsadjunkt

📊 0 citations • h-index —

Continual and Lifelong Machine LearningSymbolic AI and Neuro-Symbolic IntegrationAlgorithmic FairnessBias Detection and Ethics in AI

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Alexis L***

Universitetsadjunkt

📊 0 citations • h-index —

Symbolic AI and Neuro-Symbolic IntegrationNeural Architecture Search and Edge QuantizationHigh-Performance GPU Distributed Model TrainingVisual Question Answering and Multimodal LLMs

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Other Departments at KTH Royal Institute of Technology

Department of Interdisciplinary Academic Research (713) Department of Electrical Engineering (128) Department of Mechanical Engineering (33) Department of Materials Science and Engineering (30) Department of Chemistry (30) Department of Forest Ecology and Management (28) Department of Civil and Architectural Engineering (18) Department of Physics (17) Department of Business Studies (14) Department of Education (13)

How to Connect with Department of Computer Science Supervisors at KTH Royal Institute of Technology

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Match Active Research Topics

Faculty in Department of Computer Science review graduate inquiries based on alignment with their current grants and projects. Reviewing the sample publications above ensures your research proposal connects directly with the professor's recent inquiries.

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How to Email Professors

Keep your introductory email under 200 words. Reference a specific paper from their lab, explain your relevant coursework or thesis background, attach a 1-page CV and unofficial transcript, and specify your intended intake term.

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Admissions & Funding Windows

Most research-stream MSc and PhD programs at KTH Royal Institute of Technology have admission deadlines between December and February for Fall entry. Reaching out to supervisors in early autumn drastically improves your chances of securing departmental research assistantships.

❓ International Graduate Applicant Admissions & Funding FAQ

Essential guidelines for securing supervisor sponsorship, research funding, and admissions in Department of Computer Science at KTH Royal Institute of Technology.

✦ How do international students find and contact research supervisors in Department of Computer Science at KTH Royal Institute of Technology?

Prospective international MSc and PhD applicants should review faculty research profiles, recent citations, and active laboratory openings in Department of Computer Science at KTH Royal Institute of Technology. Emailing faculty members 6 to 9 months before program deadlines with a concise statement of interest and your CV significantly boosts response rates.

✦ What graduate funding and research assistantships (GRA/GTA) are available in Department of Computer Science?

Full-time research-stream graduate students in Department of Computer Science at KTH Royal Institute of Technology are commonly supported by Graduate Research Assistantships (GRA) funded by faculty grants, Graduate Teaching Assistantships (GTA), and internal university fellowships or international tuition fee waivers.

✦ What should an applicant include in their initial email to Department of Computer Science professors?

Keep introductory outreach under 200 words. Reference 1-2 specific recent publications from the professor's lab, clearly connect your undergraduate or thesis background with their ongoing research questions, confirm your target intake term, and attach your 1-2 page academic CV and unofficial transcript.

✦ What are the typical application deadlines for international students in Department of Computer Science at KTH Royal Institute of Technology?

Most research-stream graduate intakes begin in Fall (September) with application deadlines ranging between December 1 and February 15. Winter (January) intakes typically have deadlines between June 1 and September 1. Securing supervisor sponsorship beforehand is strongly recommended.