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Janet M. Wang-Roveda is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Arizona in Tucson. She received her M.S. and Ph.D. degrees in Electrical Engineering and Computer Sciences from the University of California, Berkeley in 1998 and 2000, respectively. She was a recipient of the NSF career award and the Presidential Early Achievement Award for Science and Engineering at White House in 2005 and 2006, respectively. She was the recipient of the 2008 R. Newton Graduate Research Award from the EDA community, and the 2007 USS University of Arizona Outstanding Achievement Award. She received the best paper award in journal of clean energy in 2013, ISQED 2010 as well as best paper nominations in ASPDAC 2010, ICCAD 2007, and ISQED 2005. Her primary research interests focus on robust VLSI circuit design, biomedical instrument design, Smart grid, VLSI circuit modeling/design and analysis, and low power multi-core system design. She has over 120 publications.
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Courses
- DVLSISDDigital VLSI Systems Design
- MDABEMeasurement and Data Analysis in Biomedical Engineering
- EELElectrical Engineering Laboratory
- ECElectronic Circuits
- AICAnalog Integrated Circuits
Grants
- IUCRC Phase I University of Missouri: Center to Stream Healthcare In Place (C2SHIP)
Principal Investigator (PI)
2022
$10.9K
Active - IUCRC Phase I UArizona: Center to Stream Healthcare In Place (C2SHIP)
Principal Investigator (PI)
2021
$899.7K
Active - Program Income Account for 3040960(C2SHIP): I/UCRC Memberships
Principal Investigator (PI)
2021
$750.0K
Active - Explainable Deep Learning Approach For Automatic Arousal And Sleep Stages Scoring, And Knowledge Discovery
Co-Investigator (COI)
2021
$230.3K
Active - Program Income Account for 3040960(C2SHIP): I/UCRC Memberships (Foreign)
Principal Investigator (PI)
2021
$153.8K
Active - Program Income Account for 3040960 (C2SHIP): I/UCRC Memberships (Foreign) - Kent Imaging
Principal Investigator (PI)
2021
$60.0K
Active - I-Corps: Deep Learning for Solar Energy Systems to Optimize Whole System Performance
Principal Investigator (PI)
2020
$50.0K
- PFI-TT: A New Deep Neural Network and Internet of Things-Based Screening Framework for Sleep Apnea
Co-Investigator (COI)
2019
$250.0K
- E-verify: Point of Care Blood Typing and Pathogen Detection Study
Co-Investigator (COI)
2018
$206.5K
- I-Corps Team: New Tool for Sleep Apnea Screening
Principal Investigator (PI)
2018
$50.0K
Technologies / Patents
News
- With $3M Grant, UArizona-Led Center to Advance At-Home Health Care Technology
2021
- How a UA Engineer Stays a Heartbeat Ahead of Hackers
2017
- Researchers to Improve Student Learning With Millions in Grants
2016
- UA Professor Engages Kids, Encourages Z’s
2015
- 'Z-Factor' to Explore Sleep, Learning Link
2015
- Outstanding University Achievement Award Winners to be Recognized Monday
2007
- UA Researcher Wins Top NSF Award for Young Engineers
2006
- Making Better, Faster, Smaller Electronics
2005
Publications (91)
Recent
- A Novel Low-Power Time Synchronization Algorithm Based on a Fractional Approach for Wireless Body Area Networks
2021
- A Fractional Approach to Time Synchronization in Wireless Body Area Networks
2021
- Relationship between Timer Resolution and Synchronization Message Repetition Frequency in a Synchronized Wireless Sensor Network
2021
- Obstructive sleep apnea predicts 10-year cardiovascular disease related mortality in the Sleep Heart Health Study: a machine learning approach
2021
- A deep learning-based algorithm for detection of cortical arousal during sleep.
2020
- Sequence-level Supervised Deep Neural Networks for Mitosis Event Detection in Time-Lapse Microscopy Images
2020
- Sleep patterns and sleep deprivation recorded by actigraphy in 4th-grade and 5th-grade students
2020
- Cell Nuclei Detection and Segmentation for Computational Pathology Using Deep Learning
2019
- Evaluation of the Complexity of Automated Trace Alignment using Novel Power Obfuscation Methods
2019
- The potential capability of deep learning in cardiac arrhythmia classification
2019
- Weakly Supervised Deep Learning for Detecting and Counting Dead Cells in Microscopy Images
2019
- A Deep Learning-based Algorithm for Detection of Cortical Arousal During Sleep
2019
- High Yield and Precision Plant Production with Sensors and Microgrid Technologies
2019
- Using wearable sensors and music to build a stress intervention system
2018
- Composable Template Attacks using Templates for Individual Architectural Components
2018
- A low power occlusion dose monitor for compliance to glasses wearing
2018
- Noise-Invariant Component Analysis for Wearable Sensor based Electrocardiogram Monitoring System
2018
- In situ Real-time Quantification of Microbial Communities: Applications to Cold and Dry Volcanic Habitats
2018
- Determination of Stress in Humans using Data Fusion of Off-the-Shelf Wearable Sensors Data for Electrocardiogram and Galvanic Skin Response
2018
- A new prototype for real time, time resolved nanosecond fluorescence lifetime measurements
2018
- A Novel Artificial Neural Network Based Sleep-Disordered Breathing Screening Tool.
2018
- Engaging Students Through STEM: A 21st Century Learning Approach
2018
- Artificial Intelligence in Cardiac Arrhythmia Classification
2018
- Low power real-time data acquisition using compressive sensing
2017
- Dream sweet dreams: a new framework for sleep tracking and body change prediction
2017
- Sweet Dreams: Review of a Sleep Tracking Framework
2017
- A Novel Artificial Neural Network Based Sleep Disordered Breathing
2017
- Embedded systems in Medical devices and their integration with medical data, EMR and Big Data
2017
- Mutual Information-based Heartbeat Similarity Measurement for Crew Health Monitoring in Space
2017
- Dream Sweet Dreams: A New Framework for Sleep Tracking and Body Change Prediction”, Keynote, Simulation and Modeling for Medical Systems
2017
- Modeling and Simulation for pediatric sleep and education performance correlations
2016
- Heart Rate Variability Measurement for Stress Management based on Mutual Information
2016
- System Perspectives for Mobile Platform Design in m-Health
2016
- Dynamic Data Driven System for Real-time Streamline Processing on UAVs
2016
- Modular Low Power Wearable Sensors for Physiological Monitoring Throughout the Continuum of Combat Care
2016
- Real-time Dynamic Data Driven System for Stress Management
2016
- Spatial and Temporal Model for Infectious Disease Prediction Considering Human Mobility
2016
- Psychological Health Monitoring for Pilots and Astronauts by Tracking Sleep-Stress-Emotion Changes
2016
- Self-Powering and Geo-Tagging Method for Pipeline Inspection Gauges to Enable Continuous High-Quality Data- Recording
2016
- Environmental Impact of Infectious Disease Propagation
2015
- HyNoC: An All-Direction Millimetre-Wave Wireless and Wired Reconfigurable Communication Fabric Design for Network-on-Chip
2015
- A Radiation-Hardened-By-Design Phase-Locked Loop Using Feedback Voltage Controlled Oscillator
2015
- Compressive Sensing based Real Time Data Acquisition and Identification (RAID)
2015
- Design of Low Jitter Phase-Locked Loop with Closed Loop Voltage Controlled Oscillator
2015
- A Low Jitter Digital Phase-Locked Loop with a Hybrid Analog/Digital PI Control
2015
- Design of a Feedback Digitally Controlled Oscillator for Linear Enhancement
2015
- Stress Management Using Wearable Sensors Using Integrated Data Information
2015
- Secure and Compressive Acquisition for Telemedicine Applications
2015
- Identify Invariant Patterns in ECG and Respiratory Waveforms (Invited Talk)
2015
- A 320MHz-2.56GHz Low Jitter Phase-Locked Loop with Adaptive-Bandwidth Technique
2015
- Wearable Sensor Based Stress Management Using Integrated Respiratory and ECG Waveforms
2015
- A Finite-Point Method for Efficient Gate Characterization under Multiple Input Switching
2015
- Surrogating Circuit Design Solutions with Robustness Metrics
2015
- Design Optimization of a Transimpedance Amplifier for a Fiber Optic Receiver
2015
- Secure and Compressive Acquisition for Telemedicine Applications (Invited talk)
2015
- Compressive Sensing: Real-Time Data Acquisition and Analysis for Biosensors and Biomedical Instrumentation (invited editorial article)
2015
- Budget Uncertainty based Mixed Signal Design Using Conic Algorithms
2015
- Cluster based dynamic area-array I/O planning for flip chip technology
2014
- Finite-point method for efficient timing characterization of sequential elements
2014
- A modular framework to enable rapid evaluation and exploration of energy management methods in smart home platforms
2014
- Design Optimization of a TIA for High Speed Data Applications using gm/ID Based Methodology
2014
- Robust Optimization for Gate Sizing Considering Non-Gaussian Local Variations
2014
- Data Calibration and Dimensionality reduction for Health Care Systems
2014
- A Privacy-aware Cloud-assisted Healthcare Monitoring System via Compressive Sensing
2014
- Increase the concurrency for multi-core systems through collision array based workload assignment
2014
- A 60dBΩ 2.9 GHz 0.18 μm CMOS Transimpedance Amplifier for a Fiber Optic Receiver Application
2014
- Collision array based workload assignment for Network-on-Chip concurrency
2014
- Intelligent Connector (I-Connector) Design and Demand Response in Smart Grid
2014
- Innovative visualization and segmentation approaches for telemedicine
2014
- Workload assignment considering NBTI degradation in multicore systems
2014
- A Heterogeneity Based Method to Identify Major Variability Components
2014
- On-Chip Interconnect Network Communication Management for Multi-Core Design
2013
- Energy management design for smart homes using green technology
2013
- A new data acquisition design for breast cancer detection system
2013
- A New Framework for the Robust Design of Analog Blocks using Conic Uncertainty Budgeting
2013
- Data Intensive Design for Multi-core Era
2013
- Efficient image acquisition design for a cancer detection system
2013
- Effective signal region based analog mixed signal design considering variations and applications
2013
- FPGA based single cycle, reconfigurable router for NoC applications
2013
- Privacy-assured Outsourcing of Image Reconstruction Service in Cloud
2013
- Application Driven, Analog Mixed Signal Design Considering Variations
2012
- Reliable, Secure and Compressed Storage for Medical Image Data with Cloud Computing
2012
- A self-tuning design methodology for power-efficient multi-core systems
2012
- Identifying Key Components of Variability Using Energy based Control
2012
- Recent Design Development in Molecular Imaging for Breast Cancer Detection Using Nanometer CMOS Based Sensors
2012
- Low Current Laser Diode Driver and High Sensitivity Piezoelectric Transducer Design for Real Time Blood Glucose Monitoring
2012
- A New Way to Look at Energy and Data Flow for Smart Grid
2012
- A new uncertainty budgeting based method for robust analog/mixed-signal design
2012
- A non-invasive blood glucose meter design using multi-type sensors
2012
- Interface model based cyber-physical energy system design for smart grid
2011
- A self-evolving design methodology for power efficient multi-core systems
2010
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