UMD’s PhD in Computer Science equips students for high-level research in AI, machine learning, systems, theory, and cybersecurity. Students work with world-class faculty on interdisciplinary projects and contribute to open-source tools, academic publications, and startup ventures.
Development of a scalable distributed file system with fault tolerance
Adversarial training techniques for robust deep neural networks
Formal verification of blockchain consensus protocols
Design of efficient algorithms for large-scale graph analytics
Privacy-preserving machine learning using homomorphic encryption
Zero-knowledge proofs for secure authentication systems
Neural machine translation models for low-resource languages
Optimization of real-time scheduling algorithms for multicore systems
Design of a high-performance programming language for data processing
Analysis of fairness metrics in AI-driven hiring platforms
Automated bug detection in open-source repositories using LLMs
Dissertation on complexity theory in quantum computing
Development of explainable AI models for medical image classification
Federated learning framework for edge devices in smart homes
Formal methods for verifying smart contract correctness
Human-centered computing study on accessibility in HCI
Compiler optimizations for energy efficiency in embedded systems
Creation of a scalable search engine for decentralized networks
Simulation and analysis of IoT security in smart grid systems
Temporal reasoning models for autonomous robotic planning
Redefine how we compute with advanced research in theory, AI, and systems design in UMD’s Computer Science PhD.
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