Tajana Rosing | Academic Influence

Tajana Rosing's AcademicInfluence.com Rankings

Tajana Rosing

Computer Science

#10805

World Rank

#11380

Historical Rank

Computer Engineering

#171

World Rank

#173

Historical Rank

Database

#9588

World Rank

#10118

Historical Rank

computer-science Degrees

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Computer Science

Tajana Rosing's Degrees

PhD Computer Science Stanford University
Masters Electrical Engineering Stanford University
Bachelors Electrical Engineering University of Zagreb

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Why Is Tajana Rosing Influential?

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According to Wikipedia, Tajana Šimunić Rosing is an American computer scientist and computer engineer specializing in embedded systems, cyber-physical systems, and smart city infrastructure, including the reliability of these systems and the control of their temperature and energy usage. She is a professor in the Department of Computer Science and Engineering at the University of California, San Diego, where she directs the System Energy Efficiency Lab and holds the Fratamico Endowed Chair.

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Tajana Rosing's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Energy Harvesting for Structural Health Monitoring Sensor Networks (2008) (443)
A Broader Study of Cross-Domain Few-Shot Learning (2019) (147)
Modeling and dynamic management of 3D multicore systems with liquid cooling (2009) (73)
Modular and Personalized Smart Health Application Design in a Smart City Environment (2018) (59)
A different approach to sensor networking for shm: Remote powering and interrogation with unmanned aerial vehicles (2007) (59)
Analysis of dynamic voltage scaling for system level energy management (2008) (52)
SearcHD: A Memory-Centric Hyperdimensional Computing With Stochastic Training (2020) (39)
Resistive CAM Acceleration for Tunable Approximate Computing (2019) (36)
WARM: Workload-Aware Reliability Management in Linux/Android (2017) (35)
QuantHD: A Quantization Framework for Hyperdimensional Computing (2020) (34)
Low-Power Sparse Hyperdimensional Encoder for Language Recognition (2017) (34)
NNPIM: A Processing In-Memory Architecture for Neural Network Acceleration (2019) (32)
Accelerating Hyperdimensional Computing on FPGAs by Exploiting Computational Reuse (2020) (23)
HOLLOWS: A Power-aware Task Scheduler for Energy Harvesting Sensor Nodes (2010) (22)
Human Behavior Aware Energy Management in Residential Cyber-Physical Systems (2020) (22)
Multi-Stage Tunable Approximate Search in Resistive Associative Memory (2018) (21)
NVQuery: Efficient Query Processing in Nonvolatile Memory (2019) (21)
Context Aware Power Management of Mobile Systems for Sensing Applications (2012) (20)
User Behavior Modeling for Estimating Residential Energy Consumption (2016) (19)
Nvalt: Nonvolatile Approximate Lookup Table for GPU Acceleration (2018) (17)
Wastewater and surface monitoring to detect COVID-19 in elementary school settings: The Safer at School Early Alert project (2021) (13)
Adapting task utility in externally triggered energy harvesting wireless sensing systems (2009) (13)
Optimal Packet Aggregation Scheduling in Wireless Networks (2018) (12)
FELIX (2018) (12)
A Survey on Architecture Advances Enabled by Emerging Beyond-CMOS Technologies (2019) (11)
CitiSense ± Adaptive Services for Community-Driven Behavioral and Environmental Monitoring to Induce Change (2010) (10)
Fine-Grained Energy Consumption Characterization and Modeling (2010) (10)
Evaluating and improving the reliability of gas-phase sensor system calibrations across new locations for ambient measurements and personal exposure monitoring (2019) (10)
Powering Wireless SHM Sensor Nodes through Energy Harvesting (2009) (10)
Ultra-low power FinFET based SRAM cell employing sharing current concept (2015) (9)
Optimal Distributed Nonlinear Battery Control (2017) (9)
Trustworthy AI Inference Systems: An Industry Research View (2020) (9)
Latent variables based data estimation for sensing applications (2011) (8)
Optimizing Sensor Deployment and Maintenance Costs for Large-Scale Environmental Monitoring (2020) (8)
Optimal Performance-Aware Cooling on Enterprise Servers (2019) (7)
Runtime Efficiency-Accuracy Tradeoff Using Configurable Floating Point Multiplier (2020) (6)
Lifetime-dependent battery usage optimization for grid-connected residential systems (2015) (6)
OPELRUL: OPtimally Weighted Ensemble Learner for Remaining Useful Life Prediction (2021) (6)
DOWELL: Diversity-Induced Optimally Weighted Ensemble Learner for Predictive Maintenance of Industrial Internet of Things Devices (2022) (6)
Evaluating and Improving the Reliability of Gas-Phase Sensor System Calibrations Across New Locations for Ambient Measurements and Personal Exposure Monitoring (2019) (5)
GAS (2018) (5)
Accelerators for Classical Molecular Dynamics Simulations of Biomolecules (2022) (5)
RMAC (2018) (4)
Trajectory Planning and Optimization for Minimizing Uncertainty in Persistent Monitoring Applications (2022) (4)
BRIC (2019) (4)
RESPIRE++: Robust Indoor Sensor Placement Optimization Under Distance Uncertainty (2021) (4)
OpenHD: A GPU-Powered Framework for Hyperdimensional Computing (2022) (3)
ENFES: ENsemble FEw-Shot Learning For Intelligent Fault Diagnosis with Limited Data (2021) (3)
NASCENT2: Generic Near-Storage Sort Accelerator for Data Analytics on SmartSSD (2022) (3)
Structural Health Monitoring of Bridges Via Energy Harvesting Sensor Nodes (2016) (3)
Demo Abstract: Distributed Control of a Swarm of Buildings Connected to a Smart Grid (2014) (3)
A Context-Driven IoT Middleware Architecture (2015) (3)
Design of Transmission Manager in Heterogeneous WSNs (2018) (3)
FloatPIM (2019) (3)
Locality-Based Encoder and Model Quantization for Efficient Hyper-Dimensional Computing (2021) (2)
Scheduling above Mac to Maximize Battery Lifetime and Throughput in Wlans (2008) (2)
ApproxLP (2019) (2)
An energy efficient wireless communication mechanism for sensor node cluster heads (2009) (2)
Using Neural Networks to Predict Micro-Spatial Economic Growth (2021) (2)
Safer at school early alert: an observational study of wastewater and surface monitoring to detect COVID-19 in elementary schools (2023) (2)
Efficient Associative Search in Brain-Inspired Hyperdimensional Computing (2020) (2)
Streaming Encoding Algorithms for Scalable Hyperdimensional Computing (2022) (2)
RESPIRE: Robust Sensor Placement Optimization in Probabilistic Environments (2020) (2)
Data Reuse for Accelerated Approximate Warps (2020) (2)
RAPIDx: High-performance ReRAM Processing in-Memory Accelerator for Sequence Alignment (2022) (1)
Using Neural Networks to Predict Microspatial Economic Growth (2022) (1)
Attacking Lifelong Learning Models with Gradient Reversion (2019) (1)
M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities (2022) (1)
DNA Sequencing using Brain-inspired Hyperdimensional Computing (2019) (1)
Energy Management and Cost Analysis in Residential Houses using Batteries (2014) (1)
Datacenter Modeling and Simulation with Focus on Energy Efficiency and Green Energy Integration (2012) (1)
CAHEROS: Constraint-Aware HEuristic Approach for RObust Sensor Placement (2021) (1)
Integrated wireless powering and data interrogation for civil infrastructure monitoring (2010) (1)
Hardware-Software Co-design to Accelerate Neural Network Applications (2019) (1)
Swapping Metagenomics Preprocessing Pipeline Components Offers Speed and Sensitivity Increases (2022) (1)
COSMO: Computing with Stochastic Numbers in Memory (2022) (1)
SALIENT: Ultra-Fast FPGA-based Short Read Alignment (2022) (0)
Non-volatile Content Addressable Memory for Computing Acceleration (2017) (0)
ARGA (2019) (0)
FedHD (2022) (0)
TermiNETor: Early Convolution Termination for Efficient Deep Neural Networks (2022) (0)
Resistive Content Addressable Memory for Configurable Approximation (2017) (0)
DigitalPIM (2019) (0)
RelHD: A Graph-based Learning on FeFET with Hyperdimensional Computing (2022) (0)
HyperRec (2021) (0)
Poster Abstract: Attentive Multimodal Learning on Sensor Data using Hyperdimensional Computing (2023) (0)
Accelerating Multiplication and Parallelizing Operations in Non-Volatile Memory (2018) (0)
GENERIC (2022) (0)
Training Data Encoded data Unlabeled Data Labeled Data Encoder Encoder Label Encoded Training Data Class 1 vector Class 2 vector Class k vector HD Model Labeling Data / Model Expansion Label Model Generation (2019) (0)
FHDnn (2022) (0)
SHM sensor networking with remote powering and interrogation (2008) (0)
FAST: FPGA-based Acceleration of Genomic Sequence Trimming (2022) (0)
Title: a Different Approach to Sensor Networking for Shm: Remote Powering and Interrogation with Unmanned Aerial Vehicles (2007) (0)
Stochastic-HD: Leveraging Stochastic Computing on the Hyper-Dimensional Computing Pipeline (2022) (0)
: Accelerating Event-based Workloads with HyperDimensional Computing and Spiking Neural Networks (2023) (0)
LEARNING WITH LONG-TERM REMEMBERING: FOL- (2019) (0)
Warp Lockstep Warp Bottleneck L Multi Lookup Table In Parallel Dynamic Table with LRU Warp Passthrough ARGA SolutionsExisting Limitations Speedup Wrap Balance High Hitrate (2019) (0)
Dynamic Reliability Management of Multigateway IoT Edge Computing Systems (2023) (0)
Towards a Robust and Efficient Classifier for Real World Radio Signal Modulation Classification (2023) (0)
THRIFTY (2020) (0)
Current-Sensing Efficient Adder for Processing-in-Memory Design (2019) (0)
Introduction to Embedded Systems (2005) (0)
Digital-based Processing In-Memory for Acceleration of Unsupervised Learning (2021) (0)
Optimization of Energy , Cooling and IO Performance for Data-intensive Applications on Enterprise Servers (0)
Convex Optimization and Model Identification for Reliable and Energy Efficient QoS-Aware IoT Systems (2016) (0)
CoMETC (2013) (0)
Digital-based Processing In-Memory for High Precision Deep Neural Network Acceleration (2020) (0)
Automating and Optimizing Reliability-Driven Deployment in Energy-Harvesting IoT Networks (2023) (0)
Reconfigurability in Embedded Systems using SunSPOT Technology (2007) (0)
Energy efficient computing in large scale systems (2011) (0)
Hyperdimensional Computing and Spectral Learning (2021) (0)
In-Memory Processing to Support Search-Based and Bitwise Computation (2017) (0)
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks (2023) (0)
Title : Adapting Performance in Energy Harvesting Wireless Sensor Networks for Structural Health Monitoring Applications (2009) (0)
High Performance Computing (1997) (0)
Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy (2022) (0)
Testing and Enhancing Adversarial Robustness of Hyperdimensional Computing (2023) (0)
MAPIM : Mat Parallelism for High Performance (2018) (0)
Electrical Engineering (Computer Engineering) (2008) (0)
Automating Reliable and Fault-Tolerant Design of LoRa-based IoT Networks (2021) (0)
HD-I-IoT: Hyperdimensional Computing for Resilient Industrial Internet of Things Analytics (2022) (0)
Session details: Energy-efficient wireless systems (2009) (0)
PatterNet (2022) (0)
Variability Emulation in Linux / Android Devices (2015) (0)
HD-Bind: Encoding of Molecular Structure with Low Precision, Hyperdimensional Binary Representations (2023) (0)
CPU Core RAUs CMOS Logic Via to sense amplifier Configurable CAM Cell (2016) (0)
Session details: Game-changing technologies for system design (2010) (0)
MAT: Processing In-Memory Acceleration for Long-Sequence Attention (2021) (0)
Using STT-RAM Based Buffers in Digital Circuits (2016) (0)
Ultra-Efficient Content Addressable Memory for Tunable GPU Approximation (2017) (0)

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Other Resources About Tajana Rosing

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What Schools Are Affiliated With Tajana Rosing?

Tajana Rosing is affiliated with the following schools: