Tajana Šimunić Rosing
Professor
Designs energy-efficient computing systems, including hyperdimensional computing and processing-in-memory accelerators for learning.
Tajana Šimunić Rosing's lab at UCSD works on accelerators, chips & architecture and efficient training & inference. 119 papers since 2023, 27 at top venues, mostly DAC and SenSys. 21 PhD students and 8 master's students. 132 alumni, most often to Amazon and Intel. Applications close .
At a glance
- papers, 2023–2026
- 31/ year
- at T1 venues
- 23%
- PhD students
- 21
- MS students
- 8
- alumni listed
- 132
Papers by yearfrom DBLP, 2023–2026
- 25 papers2026 · T1 3 · collecting
- 32 papers2025 · T1 13
- 36 papers2024 · T1 8
- 26 papers2023 · T1 3
T1 venuesOtherVenues: DAC, SenSys, ICCAD, ISCA, MICRO
Research focuspaper titles that use each topic's words
- Efficient training & inference33 papers
- Accelerators, chips & architecture6 papers
- energy-efficient3 papers
- computing systems1 paper
- designs energy-efficient0 papers
Paper list
From DBLP.
202625 papers
- IEEE Des. Test3-D Ferroelectric NAND In-Storage Processing Architecture for Mass Spectrometry (opens in a new tab)
- CICCA 4D Radar Accelerator with Adaptive Sparse Processing for Real-Time Object Detection (opens in a new tab)
- IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.Autonomous Model Quantization Framework for Hybrid Vision Transformers Based on Reinforcement Learning (opens in a new tab)
- ECCV (T1)Benchmarking Scientific Understanding and Reasoning for Video Generation Using VideoScience-Bench (opens in a new tab)
- ICCCNCAN-QA: A Question-Answering Benchmark for Reasoning over In-Vehicle CAN Traffic (opens in a new tab)
- SIGCOMM (T1)CCSwitch: A Scalable Data Plane for Non-Blocking In-Network Collective Communication (opens in a new tab)
- DATECHIME: Chiplet-based Heterogeneous Near-Memory Acceleration for Edge Multimodal LLM Inference (opens in a new tab)
- Comput. NetworksCITADEL: Continual Anomaly Detection for Enhanced Learning in intrusion detection systems (opens in a new tab)
- IEEE J. Emerg. Sel. Topics Circuits Syst.Cross-Domain Acceleration of Open Modification Search: From Commodity Platforms to Emerging Memory and Storage Devices (opens in a new tab)
- IEEE J. Solid State CircuitsEnergy-Efficient Reconfigurable XGBoost Inference Accelerator With Modular Unit Trees via Selective Node Execution and Data Movement (opens in a new tab)
- DATEFaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems (opens in a new tab)
- DATEFHEIns: Fully Homomorphic Encryption Acceleration for Large Data Applications with In-Storage Processing (opens in a new tab)
202532 papers
- ICMLAAQUA-LLM: Evaluating Accuracy, Quantization, and Adversarial Robustness Trade-offs in LLMs for Cybersecurity Question Answering (opens in a new tab)
- AAAI (T1)Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method (opens in a new tab)
- HCSClo-HDnn: Continual On-Device Learning Accelerator with Hyperdimensional Computing via Progressive Search (opens in a new tab)
- DAC (T1)CND-IDS: Continual Novelty Detection for Intrusion Detection Systems (opens in a new tab)
- MASSDailyLLM: Context-Aware Activity Log Generation Using Multi-Modal Sensors and LLMs (opens in a new tab)
- ACM Great Lakes Symposium on VLSIDPQ-HD: Post-Training Compression for Ultra-Low Power Hyperdimensional Computing (opens in a new tab)
- SPDYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-Based Intrusion Detection Against Adversarial Attacks (opens in a new tab)
- ASP-DACE-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning (opens in a new tab)
- NeurIPS (T1)Efficiently Scaling LLM Reasoning Programs with Certaindex (opens in a new tab)
- IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.Fast-OverlaPIM: A Fast Overlap-Driven Mapping Framework for Processing In-Memory Neural Network Acceleration (opens in a new tab)
- ACM Trans. Internet ThingsFederated Hyperdimensional Computing: Comprehensive Analysis and Robust Communication (opens in a new tab)
- ICCAD (T1)FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash (opens in a new tab)
202436 papers
- CICC52.5 TOPS/W 1.7GHz Reconfigurable XGBoost Inference Accelerator Based on Modular-Unit-Tree with Dynamic Data and Compute Gating (opens in a new tab)
- ICPRA Robust Framework for Evaluation of Unsupervised Time-Series Anomaly Detection (opens in a new tab)
- CSRA2HD: Adaptive Adversarial Training for Hyperdimensional Computing-Based Intrusion Detection Against Adversarial Attacks (opens in a new tab)
- ACM Trans. Archit. Code Optim.Abakus: Accelerating k-mer Counting with Storage Technology (opens in a new tab)
- DATEAttBind: Memory-Efficient Acceleration for Long-Range Attention Using Vector-Derived Symbolic Binding (opens in a new tab)
- SenSys (T1)Demo: A Real Time Question Answering System for Multimodal Sensors using LLMs (opens in a new tab)
- IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.DRAM-Based Acceleration of Open Modification Search in Hyperdimensional Space (opens in a new tab)
- IEEE Big DataEfficient Host Intrusion Detection using Hyperdimensional Computing (opens in a new tab)
- DAC (T1)Efficient Open Modification Spectral Library Searching in High-Dimensional Space with Multi-Level-Cell Memory (opens in a new tab)
- ISLPEDEfficient Transformer Acceleration via Reconfiguration for Encoder and Decoder Models and Sparsity-Aware Algorithm Mapping (opens in a new tab)
- SensorsEnhanced Noise-Resilient Pressure Mat System Based on Hyperdimensional Computing (opens in a new tab)
- WACVEvolve: Enhancing Unsupervised Continual Learning with Multiple Experts (opens in a new tab)
202326 papers
- Bioinform.Accelerating open modification spectral library searching on tensor core in high-dimensional space (opens in a new tab)
- CPS-IoT Week WorkshopsAdversarial-HD: Hyperdimensional Computing Adversarial Attack Design for Secure Industrial Internet of Things (opens in a new tab)
- IJCAI (T1)Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract) (opens in a new tab)
- MEMSYSAn In-Storage Processing Architecture with 3D NAND Heterogeneous Integration for Spectra Open Modification Search (opens in a new tab)
- SmartNetsAnalysis of Machine Learning Algorithms for Cyber Attack Detection in SCADA Power Systems (opens in a new tab)
- IoTDIAsync-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks (opens in a new tab)
- IEEE Trans. Netw. Serv. Manag.Automating and Optimizing Reliability-Driven Deployment in Energy-Harvesting IoT Networks (opens in a new tab)
- IEEE Internet Things J.Dynamic Reliability Management of Multigateway IoT Edge Computing Systems (opens in a new tab)
- ISLPEDEfficient Machine Learning on Encrypted Data Using Hyperdimensional Computing (opens in a new tab)
- NET4us@MobiComEmbHD: A Library for Hyperdimensional Computing Research on MCU-Class Devices (opens in a new tab)
- DATEFSL-HD: Accelerating Few-Shot Learning on ReRAM using Hyperdimensional Computing (opens in a new tab)
- BioCASGenoMiX: Accelerated Simultaneous Analysis of Human Genomics, Microbiome Metagenomics, and Viral Sequences (opens in a new tab)
Where alumni went132 listed, 54% to industry
Industry 43Academia 36
Most often to
- Amazon
- Intel
Also to
- UC San Diego
- Graudate Researcher at Halıcıoğlu Data Science Institute
- Illinois Institute of TechnologyResearch: Computer Architecture
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- CNSJTU
Yu Feng
- Efficient training & inference
- GBCambridge
Robert Mullins
- Accelerators, chips & architecture
- CNTsinghua
Hongyang Jia
- Accelerators, chips & architecture
- CAToronto
Gennady Pekhimenko
- Accelerators, chips & architecture
- GBImperial
George Constantinides
- Accelerators, chips & architecture
- CNSJTU
Xiaofeng Hou
- Accelerators, chips & architecture
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- DBLP
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
UCSDcloses