CMU’s PhD in Computer Science lets you craft an individualized research agenda under the mentorship of faculty who routinely author seminal papers and win Turing Awards. Whether proving new complexity-class separations, scaling data-center OS kernels, or quantifying LLM societal impact, you’ll leverage Pittsburgh Supercomputing Center resources, cross-lab collaborations, and generous internal seed grants. Milestone exams emphasize written and oral communication so your breakthroughs influence both academia and industry.
Proof of tighter approximation bounds for the Steiner tree problem
Distributed garbage-collection protocol minimizing tail latency in edge clouds
Privacy-preserving training of 100B-parameter language models via secret sharing
Formal verification of QUIC congestion-control variants in Coq
Compiler framework that auto-extracts energy profiles for sustainable coding
Adaptive scheduling for heterogeneous GPU/TPU clusters using RL
Graph-rewriting DSL accelerating bioinformatics pipelines on FPGAs
Usability study of cryptographic APIs for non-expert developers
Zero-knowledge attestations for secure multi-tenant serverless platforms
Metric-learning algorithm detecting semantic drift in AI code assistants
Augmented-reality debugger visualizing memory layouts in real time
Program-repair engine combining LLM code hints with symbolic execution
Socio-technical analysis of open-source governance in critical infrastructure
Quantum-inspired heuristic optimizing NP-hard logistics at scale
Policy white paper on aligning open AI research with safety norms
Join CMU to author the next era of computer-science breakthroughs.
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