World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
13448
World Ranking
2793
National Ranking
1381

Electronics and Electrical Engineering

D-Index
61
Citations
12861
World Ranking
1560
National Ranking
633

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to power and reliability management of Systems-on-Chip

Overview

Tajana Rosing is affiliated with the University of California, San Diego in the United States. Their research spans multiple areas within computer science and engineering, focusing on topics such as ferroelectric and negative capacitance devices, advanced memory and neural computing, and parallel computing and optimization techniques.

Their work is published extensively, with 85 publications in computer science and 64 in engineering. Subfields of particular emphasis include electrical and electronic engineering, artificial intelligence, computer networks and communications, computer vision and pattern recognition, and hardware and architecture.

Recent papers by Tajana Rosing include:

  • A Theoretical Perspective on Hyperdimensional Computing, 2021, Journal of Artificial Intelligence Research
  • Accelerating Hyperdimensional Computing on FPGAs by Exploiting Computational Reuse, 2020, IEEE Transactions on Computers
  • AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Safer at school early alert: an observational study of wastewater and surface monitoring to detect COVID-19 in elementary schools, 2023, The Lancet Regional Health - Americas
  • Optimizing Sensor Deployment and Maintenance Costs for Large-Scale Environmental Monitoring, 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Frequent co-authors of Tajana Rosing are Weihong Xu, Behnam Khaleghi, Xiaofan Yu, Jaeyoung Kang, and Saransh Gupta.

Their research has been published numerous times in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
  • IEEE Transactions on Computers
  • Proceedings of the AAAI Conference on Artificial Intelligence

The main topics covered by Tajana Rosing include:

  • Ferroelectric and Negative Capacitance Devices
  • Advanced Memory and Neural Computing
  • Advanced Data Storage Technologies
  • Parallel Computing and Optimization Techniques
  • Neural Networks and Reservoir Computing
  • Cryptography and Data Security
  • Distributed and Parallel Computing Systems

In 2018, Tajana Rosing was named an IEEE Fellow for contributions to power and reliability management of Systems-on-Chip.

Best Publications

  • PDRAM: a hybrid PRAM and DRAM main memory system

    Gaurav Dhiman;Raid Ayoub;Tajana Rosing

  • Energy Harvesting for Structural Health Monitoring Sensor Networks

    Gyuhae Park;Tajana Rosing;Michael D. Todd;Charles R. Farrar

  • SpotTune: Transfer Learning Through Adaptive Fine-Tuning

    Yunhui Guo;Honghui Shi;Abhishek Kumar;Kristen Grauman

  • Integrating microsecond circuit switching into the data center

    George Porter;Richard Strong;Nathan Farrington;Alex Forencich

  • Temperature aware task scheduling in MPSoCs

    Ayse Kivilcim Coskun;Tajana Simunic Rosing;Keith Whisnant

  • Prediction and management in energy harvested wireless sensor nodes

    Joaquin Recas Piorno;Carlo Bergonzini;David Atienza;Tajana Simunic Rosing

  • Utilizing green energy prediction to schedule mixed batch and service jobs in data centers

    Baris Aksanli;Jagannathan Venkatesh;Liuyi Zhang;Tajana Rosing

  • A Broader Study of Cross-Domain Few-Shot Learning

    Yunhui Guo;Noel C. Codella;Leonid Karlinsky;James V. Codella

  • Managing distributed ups energy for effective power capping in data centers

    Vasileios Kontorinis;Liuyi Eric Zhang;Baris Aksanli;Jack Sampson

  • Dynamic thermal management in 3D multicore architectures

    Ayse K. Coskun;Jose L. Ayala;David Atienza;Tajana Simunic Rosing

  • VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition

    Mohsen Imani;Deqian Kong;Abbas Rahimi;Tajana Rosing

  • Exploring Hyperdimensional Associative Memory

    Mohsen Imani;Abbas Rahimi;Deqian Kong;Tajana Rosing

  • Application-driven method and apparatus for limiting power consumption in a processor-controlled hardware platform

    Andrea Acquaviva;Luca Benini;Tajana S. Rosing

  • Dynamic voltage frequency scaling for multi-tasking systems using online learning

    Gaurav Dhiman;Tajana Simunic Rosing

  • FloatPIM: in-memory acceleration of deep neural network training with high precision

    Mohsen Imani;Saransh Gupta;Yeseong Kim;Tajana Rosing

  • Underdesigned and Opportunistic Computing in Presence of Hardware Variability

    P. Gupta;Y. Agarwal;L. Dolecek;N. Dutt

  • Utilizing Predictors for Efficient Thermal Management in Multiprocessor SoCs

    A.K. Coskun;T.S. Rosing;K.C. Gross

  • Evaluating the impact of job scheduling and power management on processor lifetime for chip multiprocessors

    Ayse K. Coskun;Richard Strong;Dean M. Tullsen;Tajana Simunic Rosing

  • vGreen: a system for energy efficient computing in virtualized environments

    Gaurav Dhiman;Giacomo Marchetti;Tajana Rosing

  • A system for online power prediction in virtualized environments using Gaussian mixture models

    Gaurav Dhiman;Kresimir Mihic;Tajana Rosing

  • FELIX: fast and energy-efficient logic in memory

    Saransh Gupta;Mohsen Imani;Tajana Rosing

Frequent Co-Authors

Mohsen Imani
Mohsen Imani University of California, San Diego
Abbas Rahimi
Abbas Rahimi IBM (United States)
Luca Benini
Luca Benini ETH Zurich
David Atienza
David Atienza École Polytechnique Fédérale de Lausanne
Charles R. Farrar
Charles R. Farrar Los Alamos National Laboratory
Farinaz Koushanfar
Farinaz Koushanfar University of California, San Diego
Andrew B. Kahng
Andrew B. Kahng University of California, San Diego
Nikil Dutt
Nikil Dutt University of California, Irvine
Dean M. Tullsen
Dean M. Tullsen University of California, San Diego
Rajesh Gupta
Rajesh Gupta University of California, San Diego

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