Electrical & Computer Engineering Research

Why Study Computing Architectures at Portland State University?

The semiconductor industry will add 115,000 U.S. jobs by 2030, yet 58% of technical positions risk going unfilled at current graduation rates. The AI chip market is exploding from $6.6 billion in 2018 to $91 billion by 2025, while neuromorphic computing markets surge from $28.5 million in 2024 to $1.32 billion by 2030. AI-related job postings have skyrocketed 120% year-over-year, with AI hardware engineer roles growing 143% and machine learning engineers commanding average salaries of $166,000. Students entering computing architectures will address the National Academy of Engineering's 14 Grand Challenges spanning sustainability, health, security, and quality of life while capitalizing on unprecedented AI-driven opportunities.

Device scaling, software complexity, and energy consumption indicate that conventional computing cannot continue delivering historical improvement rates. Portland State's program builds on departmental strengths in design validation and verification, computer architecture, design automation, and new and emerging computing paradigms and architectures. With global data centers consuming 176 TWh annually and AI workloads threatening to double electricity demand by 2028, specialized AI accelerators, neuromorphic processors, and energy-efficient architectures are critical industry priorities. The demand for chip designers specializing in AI hardware could exceed supply by 50%, with only 20,000-30,000 currently working across all U.S. industries.

Students develop expertise in verifying complex AI systems, optimizing architectural designs for machine learning workloads, automating chip design processes, and exploring emerging computational paradigms including neuromorphic processing, quantum computing, and brain-inspired architectures. They master hardware-software co-design for AI accelerators, design validation methodologies for specialized processors, and automated tools that optimize power, performance, and area for AI applications. Career paths span AI chip design, verification engineering for machine learning systems, hardware acceleration, neuromorphic engineering, and AI systems architecture across industries from autonomous vehicles to data centers.

Associated Faculty

• John M. Acken
• Malgorzata Chrzanowska-Jeske
• Douglas Hall
• Yuchen Huang
• Jamie Kennedy
• Roy Kravitz
• Venkatesh Patil
• Branimir Pejčinović
• Marek Perkowski
• Xiaoyu Song
• Ivan Sutherland
• Jamel Tayeb
• Christof Teuscher

Why Study Environmental Sensing and Monitoring (ESM) at Portland State University?

Most of the leading institutions working in environmental sensing are focused on the environmental, oceanographic, and atmospheric sciences. However, there is a strong movement within environmental sensing towards deployment of large numbers of sensors (and collecting large amounts of data), lowering the cost of sensors (necessary for deploying large numbers), reducing the size of sensors, consuming lower power and performing autonomous (on-board) signal processing and efficient data transmission. These trends are partly driven by advances in big data analytics but also by the increasing availability of unmanned platforms. Both massive sensor deployments and using aerial and underwater unmanned platforms (drones) provide new ways to sense but also place severe restrictions on size, power and communication data rates. The areas of sensor system development, on-board signal processing, controls, communications, and power are all core to Electrical Engineering. At Portland State, we focus on the Electrical Engineering challenges associated with the future of environmental sensing and monitoring. 

Associated Faculty

• Charles Holland
• John Lipor
• Mark Martin
• George (譲治) McDonald
• James McNames
• Josh Méndez
• Martin Siderius
• Tim Sonnemann

Why Study Power Engineering at Portland State University?

The Electrical & Computer Engineering Department at Portland State University currently has two areas focused on electric power: Dr. Bass's Power Engineering Group and Dr. Bird's Laboratory for Magnetomechanical Energy Conversion & Control.

Associated Faculty

• Bob Bass
• Jonathan Bird

Power Engineering Group

Overview

The Power Engineering Group's (PEG) research addresses the engineering challenges to the electric power system that arise from large-scale societal issues such as natural disasters, climate change, and cyber-physical security threats. The PEG develops technology and methods to coordinate the dispatch of distributed loads, generators, and energy storage devices to provide utility services that improve power system reliability and facilitate the integration of renewable energy resources.

Research and Funding

PEG research students develop engineering solutions that address challenges imposed on our rapidly-changing electric power system. The large-scale adoption of renewable generation in response to climate change requires the power system be operated in ways distinctly different from the past. And, the adoption of information technology and data science by utilities has provided new opportunities, and presented new challenges, to power systems operators.

PEG research students work in partnership with electric utility engineers to understand these challenges and to develop impactful engineering solutions.  

For example, PEG students are investigating the dispatchability of aggregated residential-scale assets in response to utility ancillary service requests.  Students conduct performance evaluations on residential assets, including water heaters and battery-inverter systems.  They evaluate the dispatchability of these assets in response service request, such as frequency response, frequency regulation, peak demand mitigation, and EIM RTM.  PEG students are helping the industry understand how residential assets can be used to provide ancillary services.  The PEG is interested in understanding asset characteristics, such as response lags, ramp rates, energy availability, methods execution, etc., of residential-scale assets in response to these ancillary service requests.  By dispatching ancillary services through residential load control, a utility can include a higher proportion of renewable resources within its generation portfolio.

The Power Engineering Group has received research funding from Portland General Electric, Northwest Energy Efficiency Alliance, the U.S. Department of Energy Office of Electricity, and the U.S. Small Business Administration.

Laboratory for Magnetomechanical Energy Conversion and Control

Overview

Dr. Bird’s Laboratory for Magnetomechanical Energy Conversion and Control’s current research focus is on designing magnetically geared electric machines for wind and ocean renewable power generation applications, electrical machines for transportation applications, and computational electromagnetic modelling.

Visit the Laboratory for Magnetomechanical Energy Conversion and Control's website for more information.

Faculty

Dr. Jonathan Bird’s research areas are at the intersection of applied electromagnetics, mechanics and controls. His graduate work involved investigating the performance capabilities of an electrodynamic wheel for high-speed ground transportation applications. While at General Motors, Dr. Bird designed high torque density induction and interior permanent magnet motors for hybrid and fuel-cell vehicle applications. At Portland State University Dr. Bird has been continuing his research into the use of electrodynamic wheels as well as investigating the capabilities of magnetically geared electrical machines for wind and ocean power generation applications.  Dr. Bird has authored or coauthored over 40 peer reviewed papers in major journals and conferences. Dr. Bird’s research has been funded by the Department of Energy, the National Science Foundation, NASA and the North Carolina Coastal Studies Institute.

Students

Graduates of the power engineering program at PSU have gone on to work at many different companies and organizations. Some examples of where our alumni work are Avangrid, Black & Veatch, Bonneville Power Administration, Brown & Kyser, Cooper Bussman, Daimler, DNV GL, Eaton, Elcon, Energy Trust of Oregon, Glumac, HDR, Inspec, Intel, Interface, Jacobs, Leidos, Pacific Northwest National Labs, Pacificorp, PAE, Portland General Electric, POWER Engineers, Powin Energy, Siemens, Stantec, US ACE Hydro Design Center, and Vestas.

Below is a subset of Power Engineering Group MS Thesis and PhD graduates, with graduation date, current employer, dissertation or thesis title, and link to the PSU library:

Zhongkai Zeng, MS 2024
POWER Engineers
Residential DERs in Service-Oriented Load Participation: Enhancing Grid Flexibility

Daisy Delgado-Zaragoza, MS 2024
GE Aerospace
Single-Stage Three-Phase Buck-Boost DC/AC Converter Design, Analysis, and Validation

Abhijeet Prem, MS 2024
A PWM Control Method for Reducing Electromagnetic Noise at the Generation Source in Power Electronic Converters

Ho Yin Wong, Ph.D. 2023
Hyliion
Design and Analysis of High Performance Magnetic Gears for Magnetomechanical Thrusters

Wiwin Lew, MS 2023
Airity Technologies
Highly Power Dense DC to Three-Phase AC Modular Converters with Tiny Module Capacitors

Jaime Kolln, MS 2023
Pacific Northwest National Labs
Developing an Energy Service Interface Specification

Sean Keene, MS 2022
QualityLogic
Development of a Configurable DERMS Test System in GridAPPS-D

Umar Farooq, MS, 2022
National Transmission and Despatch Company, Pakistan
Development of a Configurable Real-time Event Detection Framework for Power Systems using Swarm Intelligence Optimization

Midrar Adham, MS, 2022
PSU PhD Candidate
Modeling and Analysing the Impact of Heat Pump Water Heaters on Distribution Systems Using GridLAB-D

Abdullah Barghouti, MS, 2022
General Motors
A Distributed Trust Model Simulator for Energy Grid of Things Distributed Energy Resource Management System

Mohammed Alsaid, MS, 2022
Magic Leap
A Privacy-Preserving Strategy for the Trust Layer of the Energy Grid of Things Distributed Energy Resource Management System

Hossein Baninajar, Ph.D., 2022
Electrifying Air Propulsion
An Investigation into Magnetic Gears and Magnetic Springs for Marine Hydrokinetic Power Generators

Yudon Lan, MS 2022
Lam Research
Development of a Testing Station for Grid-Interactive Smart Inverter Systems

Sonali Fernando, MS 2021
PSU PhD Candidate
The Distributed Trust Model Applied to the Energy Grid of Things

Robert Ferraro, MS 2021
Portland General Electric
Method of Modeling the Swing Equation Using Time Synchronized Measurements

Jacob Sheeran, MS, 2021
Concord Engineering
Modeling Tools for Analyzing Electrical Power Distribution Systems Impacted by Electric Vehicle Load Growth 

Shahad Alomani, MS, 2021
Florida Power & Light
Power Distribution System Tools for Analyzing Impacts of Projected Electric Vehicle Load Growth Using GridLab-D

Manasseh Obi, Ph.D., 2020
Portland General Electric 
Aggregated Water Heater System Optimization for Ancillary services

Leighton Clarke, MS, 2019
Federal Aviation Administration
Aggregation of Electric Water Heaters for Peak Shifting and Frequency Response Services

Mojtaba Kouhshahi, PhD 2019
Nexteer Automotive
Design and Performance Evaluation of Linear and Axial-Flux Magnetic Gears

Kevin Marnell, MS, 2019
PacifiCorp
Large-Scale DER Aggregations of Electric Water Heaters and Battery Inverter Systems

Danielle Vournas, MS 2019
RRC Power & Energy
Modeling and Control of Magnetic Gear Dynamics in a Wind Turbine Drivetrain

Annie Clarke, MS 2018
POWER Engineers
Electric Water Heater Modeling for Distributed Energy Resource Aggregation and Control

Tylor Slay, MS 2018
Pacific Northwest National Laboratory
Adoption of an Internet of Things Framework for Distributed Energy Resource Coordination and Control

Crystal Eppinger, MS 2017
Pacific Northwest National Labs
Impact Analysis of Increased Dispatchable Resources on a Utility Feeder in OpenDSS

Quinn Sullivan, MS 2016
PCC Structurals, Inc.
The Design, Implementation, Evaluation and Results of a Race Car for the Collegiate Formula SAE Electric Competition

Joseph Wilson, MS 2016
International Thermonuclear Experimental Reactor Project (ITER),  Saint-Paul-lès-Durance, France
A Utility-Scale Deployment Project of Behind-the-Meter Energy Storage for Use in Ancillary Services, Energy Resiliency, Grid Infrastructure Investment Deferment, and Demand-Response Integration

Emily Barrett, MS 2016
Pacific Northwest National Labs
The Investigation and Optimization of a Two-Heat-Pump System Incorporating Thermal Storage for Shaping Residential Heating Load

Jordan Landford, MS 2016
POWER Engineers
Event Detection Using Correlation within Arrays of Streaming PMU Data

Osama Mansour, MS 2016
Premium Services General Trading & Contracting
Determining the Power and Energy Capacity of a Battery Energy Storage System Utilizing a Smoothing Feeder Profile to Accommodate High Photovoltaic Penetration on a Distribution Feeder

Nicole Woodman, MS 2015
Intel Corp.
Time-Variant Load Models of Electric Vehicle Chargers

Jennifer Ferris, MS 2014
Bonneville Power Administration
The Design, Implementation, Assessment, and Evaluation of a Power Systems Protection Laboratory Curriculum

Shauna Jensen, MS 2014
Portland General Electric
Design and Prototyping of an Antenna-Coupled Cryotron

Zdenek Zumer, MS 2014
SWEETSense, Inc.
Last Mile Asset Monitoring: Low-cost, rapid-deployment asset monitoring

Michael Ray, MS 2013
Bonneville Power Administration
Solar Data Analysis

2024 Publications of Faculty in the Department of Electrical & Computer Engineering

[1] Ishani Agarwal, Miroslav Saraivanov, and Marek Perkowski. Synthesis
of binary-input multi-valued output optical cascades for reversible
and quantum technologies. Quantum Information and Computation,
24(1516):1283–1312, 2024. Student.

[2] Ali Al-Bayaty and Marek Perkowski. BHT-QAOA: The generalization of
quantum approximate optimization algorithm to solve arbitrary boolean
problems as Hamiltonians. Entropy, 26(10):843, October 2024. Student.

[3] Ali Al-Bayaty and Marek Perkowski. A concept of controlling Grover
diffusion operator: a new approach to solve arbitrary boolean-based
problems. Scientific Reports, 14(1):1–16, October 2024. Student.

[4] Hussain A. Alghamdi, Midrar A. Adham, and Robert B. Bass. Analyzing
frequency event detection algorithm performance using different
denoising methods. In 2024 IEEE Conference on Technologies for
Sustainability, pages 294–301, 2024. Student.

[5] Jonathan Bird. Electromagnetic configurations and assembly methods
for a halbach rotormagnetic gear, July 2024.

[6] Jonathan Bird. Variable stiffness magnetic spring, January 2024.

[7] Colton Bruce, Jonathan Bird, Bertrand Dechant, and Payam Emami.
Design and construction of a wave energy conversion magnetic gear
with a 16.5: 1 gear ratio. In 2024 International Symposium on Power
Electronics, Electrical Drives, Automation and Motion (SPEEDAM),
pages 1030–1035. IEEE, June 2024.

[8] Colton Bruce and Jonathan Z. Bird. A systematic design method for
a coaxial magnetic gear. In 2024 International Symposium on Power
Electronics, Electrical Drives, Automation and Motion (SPEEDAM),
pages 825–829. IEEE, June 2024.

[9] D. Burnett. Wireless environmental sensing electronics framework
development with successive capstone projects. In 2024 ASEE Annual
Conference Exposition, pages 1–11, June 2024.

[10] J. I. Canales-Verdial, J. R. Wagner, L. A. Schmucker, M. Wetzel,
P. Proctor, M. Carson, J. Meng, N. J. Withers, C. T. Harris, J. J. Nogan,
D. B.Webb, A. A. Hecht, C. Teuscher, M. Osi´nski, and Payman Zarkesh-
Ha. Energy-efficient neuromorphic architectures for nuclear radiation
detection applications. Sensors, 24(7), 2024. Student.

[11] P. D. Caraccioli, S. P. Mordensky, J. DeAngelo, E. R. Burns, and
J. J. Lipor. Improving supervised machine learning predictions for
hydrothermal favorability by separating signals in elevation data. In
Geological Society of America Joint Cordilleran and Rocky Mountain
Section – 120th and 74th Annual Meeting, volume 56. GSA, May 2024.

[12] P. D. Caraccioli, S. P. Mordensky, J. DeAngelo, E. R. Burns, and J. J.
Lipor. Separating signals in elevation data improves supervised machine
learning predictions for hydrothermal favorability. In Geothermal Rising
Conference (GRC), pages 2217–2236, October 2024.

[13] Hannah L. Casey, Vrutangkumar V. Shah, Daniel Muzyka, James
McNames, Mahmoud El-Gohary, Kristen Sowalsky, Delaram Safarpour,
Patricia Carlson-Kuhta, Jeremy D. Schmahmann, Liana S. Rosenthal,
Susan Perlman, Christian Rummey, Fay B. Horak, and Christopher M.
Gomez. Standing balance conditions and digital sway measures for
clinical trials of Friedreich’s ataxia. Movement Disorders, 39(6):996–
1005, March 2024.

[14] N. Ross Chapman, Michael A. Ainslie, and Martin Siderius. Source level
of wind-generated ambient sound in the ocean. JASA Express Letters,
4(1):1–6, January 2024.

[15] D. Che, B. Dechant, C. Bruce, S. Sevier, P. Emami, G. Sivka, and J. Bird.
A helical magnet torsion spring with a 130 degrees stroke length. In
16th IEEE Energy Conversion Congress and Exposition (ECCE 2024),
Phoenix, Arizona, October 2024. Student.

[16] Yongsheng Chen, Zhuowei Wang, Xiaoyu Song, Zhe Yan, and Lianglun
Cheng. Deep learning acceleration optimization of stress boundary value
problem solvers. IEEE Transactions on Computers, 73(12):2844–2854,
December 2024.

[17] H. Davari, Kowsari M., Sonnemann T., Darzi A., Rahpeyma S., and
B. Halldorsson. Investigating the consistency of earthquake weak and
strong ground motion recordings in southwest Iceland. In 18th World
Conference on Earthquake Engineering, pages 1–10, Milan, Italy, June
2024.

[18] Megan B. Ewers, Adina Edwards, and Martin Siderius. Comparison
of conventional and adaptive acoustic beamforming algorithms using a
tetrahedral microphone array in noisy environments. In 186th Meeting
of the Acoustical Society of America and the Canadian Acoustical
Association, volume 54, page 055003. ASA, October 2024. Student.

[19] Sara Faour, Blaz Korecic, Maliˇsa Vuˇcini´c, Filip Maksimovic, David C.
Burnett, Paul Muhlethaler, and Thomas Watteyne. Single-chip motes
and SRAM PUF: Feasibility study. In 2024 IEEE Workshop on Crystal-
Free/-Less Radio and System-Based Research for IoT (CrystalFreeIoT),
pages 24–29. IEEE, May 2024.

[20] Sara Faour, Maliˇsa Vuˇcini´c, Filip Maksimovic, David C. Burnett, Paul
Muhlethaler, Thomas Watteyne, and Kristofer Pister. TMVS: Thresholdbased
majority voting scheme for robust SRAM PUFs. In 2024 IEEE
Symposium on Computers and Communications (ISCC), pages 1–8.
IEEE, June 2024.

[21] Umar Farooq, Midrar Adham, Mohammed Alsaid, and Robert B. Bass.
A configurable real-time event detection framework for power systems
using swarm intelligence optimization. IEEE Access, 12:115687–
115696, 2024. Student.

[22] N. Sonali Fernando, John M. Acken, and Robert B. Bass. Trust
model measurements for the energy grid of things. In 2024 IEEE/PES
Transmission and Distribution Conference and Exposition, pages 1–5.
IEEE, May 2024. Student.

[23] N. Sonali Fernando, John M. Acken, and Robert B. Bass. Trust model
utilization for energy grid communication. In 2024 IEEE Conference on
Technologies for Sustainability (SusTech), pages 339–344. IEEE, April
2024. Student.

[24] C. Bruce G. Sivka, B. Dechant and J. Bird. A transverse-flux constant
force mechanism. In 16th IEEE Energy Conversion Congress and
Exposition (ECCE 2024), Phoenix, Arizona, October 2024. Student.

[25] Garrison W. Greenwood, Hussein Abbass, and Aya Hussein. Harmonizing
individual and group interests: A strategy for fostering cooperation
in social dilemma games. In 2024 International Conference on Emerging
Techniques in Computational Intelligence (ICETCI), pages 80–87,
October 2024.

[26] B. Gregg and C. Teuscher. Against the current: Introducing reversibility
to superscalar processors via reversible branch predictors. In 2024
IEEE 15th International Green and Sustainable Computing Conference
(IGSC), pages 135–141, Los Alamitos, CA, USA, November 2024. IEEE
Computer Society. Student.

[27] Pramod Gupta, Naresh Kumar Sehgal, and John M. Acken. Information
Security and Cloud Computing. Springer International Publishing, 2nd
edition, July 2024.

[28] Joshua Méndez Harper, Robin E. Bumbaugh, and Christopher H. Hendon.
Strategies to mitigate electrostatic charging during coffee grinding.
iScience, 27(9):110639, September 2024.

[29] Joshua Méndez Harper and Christopher H. Hendon. It’s electric:
Understanding—and reducing—static electricity during grinding. 25,
(21), 2024.

[30] Alex Higgins and Martin Siderius. Underwater acoustic propagation and
scattering from a dynamic rough sea surface using the finite-difference
time-domain method. The Journal of the Acoustical Society of America,
156(1):119–136, July 2024. Student.

[31] Brandon P. Hippe and David C. Burnett. Digital baseband architecture
and simulated low-IF FSK receiver performance. In 2024 IEEE Asia
Pacific Conference on Circuits and Systems (APCCAS), pages 437–441.
IEEE, November 2024. Student.

[32] Charles W. Holland. Mud acoustics. Acoustics Today, 20(1):37–45,
2024.

[33] Charles W. Holland, Samuel Pinson, Daniel L. Orange, and Cody R.
Henderson. Cross-track seabed imaging and buried object detection with
a multibeam sonar. IEEE Journal of Oceanic Engineering, 50(1):394–
402, January 2025.

[34] Maria A. Holland, Katharina Maisel, Carolyn B. Ibberson, Laura K.
Wiley, David C. Burnett, Emily M. Mace, and Mary Williard Elting.
Extended time, elevated expectations: The unappreciated downsides of
pausing the tenure clock. Proceedings of the National Academy of
Sciences, 121(34), August 2024.

[35] Colton Bruce Jonathan Bird. Electrodynamic wheel maglev vehicle with
a passive u-guideway, May 2024.

[36] Phillip Kearns, Bruno Jedynak, and John Lipor. A finite-horizon
approach to active level set estimation. Foundations of Data Science,
2024. Student.

[37] Arnav Ketineni, Hrithik Ketineni, Kyle Liu, and Marek Perkowski.
Teaching logic design with interactive computer games. In 2024 ASEE
Annual Conference, Portland, Oregon, June 2024. ASEE. Student.

[38] Hrithik Ketineni and Marek Perkowski. Qucode: A novel conceptual
description of quantum algorithms. In 2024 IEEE 54th International
Symposium on Multiple-Valued Logic (ISMVL), pages 126–130. IEEE,
May 2024. Student.

[39] Glenn LeBrasseur, Andrew Greenberg, Anna Meneely, Kaleb Rice, and
Aiden Tuan. University class open ground station (UniClOGS). In Small
Satellite Conference, pages 1–10, August 2024. Student.

[40] Jennifer Lindwall and Robert B. Bass. WIP: Structuring engineering
internships to support community benefits plans. In 2024 ASEE Annual
Conference & Exposition, June 2024.

[41] Jacob N. Louie, Sara Faour, and David C. Burnett. Electromagnetic
side channel leakage improvements using free-running oscillator clock
reference. In 2024 IEEE Workshop on Crystal-Free/-Less Radio and
System-Based Research for IoT (CrystalFreeIoT), pages 7–11. IEEE,
May 2024. Student.

[42] Jacob N. Louie, Joshua Varughese, Deepti Gautam, Ahmad Mohammed,
Natalie B. Kashoro, John M. Acken, and David C. Burnett. Wireless
water activity monitoring system for long-term biomass-based carbon
sequestration. In 2024 IEEE SENSORS, pages 1–4. IEEE, October 2024.
Student.

[43] W. D. Lu, C. Teuscher, S. A. Sarles, Y. Yang, A. Todri-Sanial, and X.-B.
Zhu. A perfect storm and a new dawn for unconventional computing
technologies. npj Unconventional Computing, 1(9), 2024.

[44] Yuanming Luo, Tengfei Chang, David Burnett, Filip Maksimovic,
Thomas Watteyne, Kristofer SJ Pister, and Jie He. Inter-cal: Interoscillator
calibration for crystal-free mote-on-chip. In 2024 IEEE
Workshop on Crystal-Free/-Less Radio and System-Based Research for
IoT (CrystalFreeIoT), pages 12–17. IEEE, May 2024.

[45] Erin Shortlidge MacKenzie Gray and Christof Teuscher. altREU: An
alternative online research experience broadens opportunities for undergraduates.
In 2024 ASEE Annual Conference & Exposition, Portland,
Oregon, June 2024. ASEE Conferences. Student.

[46] Abdullah Mansoor and Malgorzata Chrzanowska-Jeske. SERS-3DPlace:
Ensemble reinforcement learning for 3D monolithic placement. In 2024
IEEE International Symposium on Circuits and Systems (ISCAS), pages
1–5. IEEE, May 2024. Student.

[47] Abdullah Mansoor, Malgorzata Chrzanowska-Jeske, and Marcin Jeske.
AI-Enabled Placement for 2D and 3D ICs, chapter 16, pages 189–223.
Springer Nature Switzerland, October 2024. Student.

[48] Bruce Martin, Martin Siderius, and Mojgan Mirzaei Hotkani. Using the
model for ambient sound levels underwater from wind (MUSLAW) to
estimate wind speeds. In OCEANS 2024 - Halifax, pages 1–7. IEEE,
September 2024.

[49] S. Bruce Martin, Martin Siderius, Michael A. Ainslie, Michele B.
Halvorsen, Leila Hatch, Mark K. Prior, Daniel Brooker, James
Caplinger, Christine Erbe, John Gebbie, Kevin D. Heaney, Alexander O.
MacGillivray, Marie-Noel Matthews, Victor O. Oppeneer, Alexandra
Scha¨fke, Rene´e P. Schoeman, and H. O¨ zkan Sertlek. Verifying models
of the underwater soundscape from wind and ships with benchmark scenarios.
The Journal of the Acoustical Society of America, 156(5):3422–
3438, November 2024.

[50] G. D. McDonald, C. E. Newman, and M. I. Richardson. Dust lifting from
a large eddy simulation tuned to Mars 2020-Perseverance observations.
In Tenth International Conference on Mars, volume 3007 of LPI
Contributions, page 3432, July 2024.

[51] George D McDonald, Newman Claire E., and Mark I. Richardson. Investigating
physical mechanisms for dust lifting using a large eddy simulation
tuned to Mars 2020-Perseverance observations. page 1748620,
December 2024. Abstract.

[52] M.Chrzanowska-Jeske and M. Jeske. Addressing unique thermal challenges
of monolithic 3D ICs with 2D materials. In IEEE NANO 2024
Workshop on Nanotechnology for Computing (NfC), Gijon, Spain, July
2024.

[53] S. P. Mordensky, E. R. Burns, J. DeAngelo, and J. J. Lipor. Integrating
uncertainty into the hydrothermal resource favorability maps for the
Great Basin. In Geological Society of America Joint Cordilleran and
Rocky Mountain Section – 120th and 74th Annual Meeting, volume 56.
GSA, May 2024.

[54] James E. Morris. An introduction to nanomaterials for nanopackaging.
IEEE Nanotechnology Magazine, 18(2):5–9, April 2024.

[55] Aurelien T. Mozipo and John M. Acken. Analysis of countermeasures
against remote and local power side channel attacks using correlation
power analysis. IEEE Transactions on Dependable and Secure Computing,
21(6):5128–5142, November 2024. Student.

[56] Adewale K. Oladeinde, Ehsan Aryafar, and Branimir Pejcinovic.
MmWave Tx-Rx self-interference suppression through a high impedance
surface stacked EBG. Electronics, 13(15):3067, August 2024. Student.

[57] Dana Paresa, Midrar Adham, Gabe Heiken, and Robert B. Bass.
ANSI/CTA-2045 conformance testing: Are smart appliances ready for
large-scale deployment? In 2024 IEEE Power amp; Energy Society
General Meeting (PESGM), pages 1–5. IEEE, July 2024. Student.

[58] Dana Paresa, Geoff Wickes, and Robert B. Bass. Distributed energy
resource conformance. In American Council for an Energy-Efficient
Economy (ACEEE) Hot Water Forum (abstract), 2024. Student.

[59] B. Pejcinovic. Initial look at life-long learning assessment in engineering
education. In 2024 47th MIPRO ICT and Electronics Convention
(MIPRO), pages 1272–1276. IEEE, May 2024.

[60] B. Pejcinovic and M. Holtzman. Tinkercad - not just for kids. In 2024
ASEE Annual Conference Exposition, pages 1–13, June 2024.

[61] B. Pejcinovic, M. Holtzman, and A. Greenberg. Assessing sophomore
cornerstone courses in electrical and computer engineering. In 2024
ASEE Annual Conference Exposition, pages 1–21, June 2024.

[62] Fang Qi, Rui Wang, Yong Guan, and Xiaoyu Song. An efficient
distributed dispatching vehicles protocol for intersection traffic control.
In The 28th International Conference on Engineering of Complex
Computer Systems (ICECCS), pages 290–300, September 2024.

[63] Jeremy A. Riousset, Joshua S. M´endez Harper, Josef Dufek, Jared P.
Nelson, and Annelisa B. Esparza. A generalized Townsend’s theory
for Paschen curves in planar, cylindrical, and spherical geometries in
planetary atmospheres. Journal of Geophysical Research: Atmospheres,
129(7), April 2024.

[64] Amelia L. Ritger and David C. Burnett. A wirelessly-enabled, poweroptimized,
low-cost, and open-source Durafet-based pH instrument for
continuous, long term environmental monitoring. In OCEANS 2024 -
Singapore, pages 1–6. IEEE, April 2024.

[65] Haziq Rohail and David C. Burnett. A tutorial on frequency stability
fundamentals. In 2024 IEEE Workshop on Crystal-Free/-Less Radio and
System-Based Research for IoT (CrystalFreeIoT), pages 1–6. IEEE, May
2024. Student.

[66] Vrutangkumar V. Shah, Daniel Muzyka, Adam Jagodinsky, James
McNames, Hannah Casey, Mahmoud El-Gohary, Kristen Sowalsky,
Delaram Safarpour, Patricia Carlson-Kuhta, Jeremy D. Schmahmann,
Liana S. Rosenthal, Susan Perlman, Fay B. Horak, and Christopher M.
Gomez. Digital measures of postural sway quantify balance deficits in
spinocerebellar ataxia. Movement Disorders, 39(4):663–673, February
2024.

[67] Shruti Sharma, Mohamed Ghonim, Xiaoyu Song, and Jin Zhang. An industrial
tool-based graduate class in ECE design verification curriculum.
In The American Society for Engineering Education Annual Conference
(ASEE), June 2024. Student.

[68] Martin Siderius, Michael A. Ainslie, John Gebbie, Alexandra Sch¨afke,
N. Ross Chapman, Bruce Martin, and Kay L. Gemba. Techniques for
modeling ocean soundscapes: Detailed description for wind contributions.
The Journal of the Acoustical Society of America, 156(5):3446–
3458, November 2024.

[69] Martin Siderius, Stan Dosso, and Jorge Quijano. Seabed analysis on
the New England shelf break using ambient sound data and trans3
dimensional geoacoustic inversion. The Journal of the Acoustical Society
of America, 155(Supplement):A174, March 2024. Abstract.

[70] Gozde Sivka, Dawei Che, Bert Dechant, Colton Bruce, and Jonathan Z.
Bird. A magnetic constant torque mechanism. In 2024 International
Conference on Electrical Machines (ICEM), pages 1–7. IEEE, September
2024. Student.

[71] I. Slaughter, J. Laxmichand-Charla, M. Siderius, and J. Lipor. Vessel
trajectory prediction with recurrent neural networks: An evaluation
of datasets, features, and architectures. Journal of Oceanographic
Engineering and Science, 2024. Student.

[72] Tim Sonnemann, Jan Dettmer, Charles W. Holland, and Stan E. Dosso.
Meso-scale seabed quantification with geoacoustic inversion. Communications
Engineering, 3(1), April 2024.

[73] Bill Stevens and Martin Siderius. Probabilistic acoustic predictions
leveraging NESBA and ARGO measurements. The Journal of the
Acoustical Society of America, 155(3 Supplement):A279, March 2024.
Abstract.

[74] Ha Tran, Branimir Pejˇcinovi´c, Robert Doneker, Kent Thompson, and
Adithya Ramachandran. Characterization of a carbon fiber based
broadband microwave absorber. Journal of Materials Science: Materials
in Electronics, 35(28), October 2024. Student.

[75] Angie Wang, Seshadri Balaji, and James McNames. Bayesian P wave
amplitude estimation. In Computers in Cardiology 2024, volume 51,
pages 1–4, Karlsruhe, Germany, September 2024. Student.

[76] Cheng Wang, Tengfei Chang, Said Alvarado-Marin, David Burnett,
Filip Maksimovic, Thomas Watteyne, and Kristofer SJ Pister. Demo:
Simultaneous localization and clock calibration for crystal-free mote. In
2024 IEEE Workshop on Crystal-Free/-Less Radio and System-Based
Research for IoT (CrystalFreeIoT), pages 36–37. IEEE, May 2024.

[77] Zhuowei Wang, Hao Wang, Xiaoyu Song, and JiaHui Wu.
Communication-aware energy consumption model in heterogeneous
computing systems. The Computer Journal, 67(1):78–94, November
2024.

[78] Zhuowei Wang, Shihui Zhao, Genping Zhao, and Xiaoyu Song. Dualbranch
domain adaptation few-shot learning for hyperspectral image
classification. IEEE Transactions on Geoscience and Remote Sensing,
62:1–16, 2024.

[79] Titan Yuan, Filip Maksimovic, David C. Burnett, and Kristofer S.J.
Pister. Hardware-limited time constant estimation using a weighted
linear regression. In ICASSP 2024 - 2024 IEEE International Conference
on Acoustics, Speech and Signal Processing (ICASSP), pages 151–155.
IEEE, April 2024.

[80] Zhongkai Zeng, Dana Paresa, Midrar Adham, and Robert B. Bass.
Empowering grid resilience: Leveraging distributed energy resources. In
2024 CIGRE Grid of the Future Conference, November 2024. Student.

[81] Zhongkai Zeng, Dana Paresa, Midrar Adham, and Robert B. Bass. Field
demonstration of residential DER service-oriented load participation. In
2024 IEEE Conference on Technologies for Sustainability (SusTech),
pages 19–25. IEEE, April 2024. Student.

[82] Wenjie Zhong, Jian-tao Zhou, Tao Sun, Xiaoyu Song, and Zonghui Li.
A verification framework for time-triggered networks based on timed
colored petri net. IEEE Transactions on Computer-Aided Design of
Integrated Circuits and Systems, 43(7):2112–2125, July 2024.

2023 Publications of Faculty in the Department of Electrical & Computer Engineering

[1] John M. Acken, Naresh K. Sehgal, Divya Bansal, and Robert B. Bass.
Security and trust metrics for edge computing. In 2023 IEEE PES Grid
Edge Technologies Conference & Exposition (Grid Edge), pages 1–6.
IEEE, April 2023. Student.

[2] Abdirahman Alasow and Marek Perkowski. Quantum algorithm for
mining frequent patterns for association rule mining. Journal of
Quantum Information Science, 13(01):1–23, 2023. Student.

[3] Abdirahman Alasow and Marek A. Perkowski. Quantum algorithms
for unate and binate covering problems with application to finite state
machine minimization. FLAP, 10(6):993–1023, 2023. Student.

[4] Hussain A. Alghamdi, Midrar A. Adham, and Robert B. Bass. An application
of wavelet transformation and statistical analysis for frequency
event detection. In 2023 North American Power Symposium (NAPS),
pages 1–6. IEEE, October 2023. Student.

[5] Hussain A. Alghamdi, Midrar A. Adham, Umar Farooq, and Robert B.
Bass. Detecting fast frequency events in power system: Development and
comparison of two methods. In 2023 IEEE Conference on Technologies
for Sustainability (SusTech), pages 55–62. IEEE, April 2023. Student.

[6] Mohammed Alsaid, Nirupama Bulusu, Midrar Adham, and Robert B.
Bass. Distributed energy resource management systems: Preserving
customer privacy through k-anonymity. In 2023 IEEE Power & Energy
Society General Meeting (PESGM), pages 1–5. IEEE, July 2023.
Student.

[7] H. Baninajar, S. Modaresahmadi, H. Y. Wong, J. Z. Bird, W. Williams,
and B. Dechant. Experimental evaluation of a 63.3:1 dual-stage coaxial
magnetic gear. IEEE Transactions on Energy Conversion, 38(1):158–
169, March 2023. Student.

[8] Hossein Baninajar and Jonathan Bird. Electromagnetic design of a
wave energy converter magnetic gear with a torque density above
300nm/l. In 2023 3rd International Conference on Electrical, Computer,
Communications and Mechatronics Engineering (ICECCME), pages 1–
5. IEEE, July 2023. Student.

[9] Jonathan Z. Bird. Rotary and linear adjustable stiffness magnetic springs,
May 2023. Patent.

[10] Colton Bruce and Jonathan Z. Bird. An examination of the stiffness
terms needed to model the dynamics of an eddy current based maglev
vehicle. IEEE Transactions on Magnetics, 59(11):1–6, November 2023.

[11] Colton Bruce, Jonathan Z. Bird, and Matthew Grubbs. Dualelectrodynamic
wheel force analysis. In 2023 IEEE International Magnetic
Conference (INTERMAG), pages 1–4. IEEE, May 2023. Student.

[12] Colton Bruce, Matthew Grubbs, and Jonathan Z. Bird. Lift force analysis
for an electrodynamic wheel maglev vehicle. IEEE Transactions on
Magnetics, 59(10):1–10, October 2023. Student.

[13] Pascal Caraccioli, Stanley Mordensky, Stanley Mordensky, Cary R.
Lindsey, Cary R. Lindsey, Jacob DeAngelo, Jacob DeAngelo, Erick R.
Burns, Erick R. Burns, John J. Lipor, and John J. Lipor. Improving
data-driven resource assessment by accounting for the expected natural
distribution of hydrothermal systems. In Geological Society of America
Connects 2023 (annual meeting), volume 47. GSA, Geological Society
of America, October 2023. Student.

[14] Daisy Delgado-Zaragoza and Mahima Gupta. A single-stage buck-boost
induction motor drive with non-pulsating motor terminal AC voltages.
In 2023 IEEE Energy Conversion Congress and Exposition (ECCE),
pages 2518–2525. IEEE, October 2023. Student.

[15] Daisy Delgado-Zaragoza and Mahima Gupta. A single-stage buck/boost
three-phase DC-AC power converter with sine-PWM method and nonpulsating
AC waveforms. In 2023 11th International Conference on
Power Electronics and ECCE Asia (ICPE 2023 - ECCE Asia), pages
3351–3357. IEEE, May 2023. Student.

[16] Sara Faour, Maliˇsa Vuˇcini´c, Filip Maksimovic, David Burnett, Paul
M¨uhlethaler, Thomas Watteyne, and Kristofer Pister. Implications of
Physical Fault Injections on Single Chip Motes. In IEEE World Forum
on Internet of Things, pages 1–9, Aveiro, Portugal, October 2023.

[17] N. Sonali Fernando, Zhongkai Zeng, John M. Acken, and Robert B.
Bass. Trust model system for the energy grid of things network communications.
In 2023 IEEE Conference on Technologies for Sustainability
(SusTech), pages 280–287. IEEE, April 2023. Student.

[18] Jeff T. Grasberger, Jonathan Bird, Ryan G. Coe, Giorgio Bacelli, Carlos
A. Michelen Strofer, and Alex Hagmuller. Maximizing wave energy
converter power extraction by utilizing a variable negative stiffness
magnetic spring. Proceedings of the European Wave and Tidal Energy
Conference, 15, September 2023.

[19] Garrison W. Greenwood, Hussin Abbass, and Aya Hussein. Interpretation
of neural network players for a generalized divide the dollar game
using SHAP values. In 2023 IEEE Symposium Series on Computational
Intelligence (SSCI), pages 1808–1813. IEEE, December 2023.

[20] Garrison W. Greenwood and Daniel Ashlock. A representation for many
player generalized divide the dollar games. Games, 14(2):19, February
2023.

[21] Xu Guo, Xiaoyu Song, Jian-tao Zhou, and Feiyu Wang. A tolerancebased
memetic algorithm for constrained covering array generation.
Memetic Computing, 15(3):319–340, August 2023.

[22] Xu Guo, Xiaoyu Song, Jian-tao Zhou, Feiyu Wang, and Kecheng Tang.
An effective approach to high strength covering array generation in
combinatorial testing. IEEE Transactions on Software Engineering,
49(10):4566–4593, October 2023.

[23] Xu Guo, Xiaoyu Song, Jian-tao Zhou, Feiyu Wang, Kecheng Tang, and
Zhuowei Wang. A memetic algorithm for high-strength covering array
generation. IET Software, 17(4):538–553, July 2023.

[24] Mahima Gupta. An examination of power converter architectures
for utility-scale hybrid solar photovoltaic and battery energy storage
systems: The features of several power conversion architectures. IEEE
Industry Applications Magazine, 29(2):12–31, March 2023.

[25] Mahima Gupta and Abhijeet Prem. A PWM method for reducing dv/dt
and switching losses in two-stage power converters. IEEE Transactions
on Industry Applications, 59(4):4375–4386, July 2023. Student.

[26] Wiwin Hartini and Mahima Gupta. A modular DC to three-phase
AC converter topology with minimized intermediate energy storage
requirements. In 2023 IEEE Applied Power Electronics Conference and
Exposition (APEC), pages 2050–2056. IEEE, March 2023. Student.

[27] Nicole Henderson, Midrar Adham, Robert B. Bass, and Tylor Slay. Protecting
customer privacy through distributed energy resource anonymization.
In 2023 IEEE Power & Energy Society General Meeting (PESGM),
pages 1–5. IEEE, July 2023. Student.

[28] Alex Higgins and Martin Siderius. A novel and computationally
efficient subgrid technique for modeling scattering and Doppler effects
of rough dynamic sea surfaces using the finite-difference time-domain
method. The Journal of the Acoustical Society of America, 154(4
supplement):A321–A321, October 2023. Student. Abstract.

[29] Brandon P. Hippe, Adam A. Dezay, Manuel A. Garcia, Mercedes C.
Newton, John M. Acken, and David C. Burnett. Multi-node networked
indoor air quality monitor. In 2023 IEEE SENSORS, pages 1–4. IEEE,
October 2023. Student.

[30] Yuchen Huang and Marek Perkowski. One hot encoding synthesis of
quantum automata from flowcharts. Journal of Quantum Information
Science, 13(03):156–176, 2023.

[31] Winfried Ilg, Sarah Milne, Tanja Schmitz-H¨ubsch, Lisa Alcock, Lukas
Beichert, Enrico Bertini, Norlinah Mohamed Ibrahim, Helen Dawes,
Christopher M. Gomez, Hasmet Hanagasi, Kirsi M. Kinnunen, Martina
Minnerop, Andrea H. N´emeth, Jane Newman, Yi Shiau Ng, Clara
Rentz, Bedia Samanci, Vrutangkumar V. Shah, Susanna Summa, Gessica
Vasco, James McNames, and Fay B. Horak. Quantitative gait and
balance outcomes for ataxia trials: Consensus recommendations by the
ataxia global initiative working group on digital-motor biomarkers. The
Cerebellum, November 2023.

[32] Yong-Min Jiang, Charles W. Holland, Stan E. Dosso, and Jan Dettmer.
Depth and frequency dependence of geoacoustic properties on the New
England Mud Patch from reflection coefficient inversion. The Journal
of the Acoustical Society of America, 154(4):2383–2397, October 2023.

[33] Rasika Joshi and John M Acken. Memristor testing needs compared
to existing CMOS testing methods. In 2023 International Symposium
on Signals, Circuits and Systems (ISSCS), pages 1–6. IEEE, July 2023.
Student.

[34] Hrithik Ketineni and Marek Perkowski. Quantum algorithm for ESOP
minimization. Quantum Information / Computation, 23(3 4):195–222,
February 2023. Student.

[35] Hadi Khazaei, Danesh Khazaei, Nashrah Junejo, Binita Bhattarai,
G Seethapathy, John Lipor, Faryar Etesami, and John Ng. 3D ultrasound
using 3D phantom models for oculofacial injuries in emergencies.
International Journal of Research and Innovation in Applied Science,
8(10):10–18, October 2023.

[36] Mojtaba B. Kouhshahi and Jonathan Z. Bird. Studying the peak force
of magnetic linear motion devices using dimensional neutrality. In
2023 14th International Symposium on Linear Drivers for Industry
Applications (LDIA), pages 1–4. IEEE, June 2023.

[37] Mojtaba Bahrami Kouhshahi and Jonathan Z. Bird. Using an analyticbased
magnetic charge Fourier series model to study a magnetic lead
screw when operating as a magnetic spring. In 2023 14th International
Symposium on Linear Drivers for Industry Applications (LDIA), pages
1–4. IEEE, June 2023.

[38] Ronaldo Leon, Wenyu Bi, Eyal Eynis, Travis Johnson, Wei Yan, John
Acken, and David C. Burnett. The networked nitrous node: A low-power
field-deployable COTS-based N2O gas sensor platform. IEEE Sensors
Letters, 7(6):1–4, June 2023. Student.

[39] Wiwin Lew and Mahima Gupta. An integrated arm and integrated
three-phase module DC-AC modular converter with minimal energy
storage requirements. In 2023 11th International Conference on Power
Electronics and ECCE Asia (ICPE 2023 - ECCE Asia), pages 3358–
3363. IEEE, May 2023. Student.

[40] Xuehu Liang, Zhuowei Wang, Ziyang Chen, and Xiaoyu Song.
Alzheimer’s disease classification using distilled multi-residual network.
Applied Intelligence, 53(10):11934–11950, September 2023.

[41] John Lipor, John Gebbie, and Martin Siderius. On the limits of
distinguishing seabed types via ambient acoustic sound. The Journal of
the Acoustical Society of America, 154(5):2892–2903, November 2023.

[42] Han Liu, Xiaoyu Song, Ge Gao, Hehua Zhang, Yu-Shen Liu, and Ming
Gu. Modeling and validating temporal rules with semantic petri net for
digital twins. Advanced Engineering Informatics, 57:102099, August
2023.

[43] Zixuan Liu, Xiaoyu Song, ZhuoweiWang, YanWang, and Jian-tao Zhou.
Constructing high radix quotient digit selection tables for SRT division
and square root. IEEE Transactions on Computers, 72(7):1–8, July 2023.

[44] Revanesh M., John M. Acken, and V. Sridhar. DAG block: Trust aware
load balanced routing and lightweight authentication encryption in WSN.
Future Generation Computer Systems, 140:402–421, March 2023.

[45] J. Gebbie M. Sullivan and J. Lipor. Adaptive sampling for seabed
identification from ambient acoustic noise. In 2023 IEEE International
Workshop on Computational Advances in Multi-Sensor Adaptive Processing
(CAMSAP), pages 1–5. IEEE, December 2023. Student.

[46] J. McNames. Signal processing. In G. Grimaldi and M. Manto, editors,
Mechanisms and Emerging Therapies in Tremor Disorders, pages 369–
392. Springer, New York, NY, 2nd edition, 2023. Book chapter.

[47] Zhihong Yu Fu Li Mingshi Liu, Xiaoru Wang. Dynamic offset metric
on heterogeneous information networks for cold-start recommendation.
In The 15th Asian Conference on Machine Learning (ACML 2023),
Istanbul, Turkey, November 2023.

[48] Burns E.R. Lipor J.J. Mordensky, S.P. Predicting large hydrothermal
systems. In Geothermal Rising Conference (GRC), volume 47, pages
1763–1796. Geothermal Rising, October 2023.

[49] Stanley Mordensky, Erick Burns, John J. Lipor, Jacob DeAngelo, and
Pascal Caraccioli. Adapting supervised machine learning approaches for
hydrothermal resource assessments. In Geological Society of America
Connects 2023 (annual meeting), volume 47. GSA, Geological Society
of America, October 2023. Student.

[50] Stanley P. Mordensky, Erick R. Burns, John J. Lipor, and Jacob DeAngelo.
Locating large hydrothermal systems. In Geological Society of
America Connects 2023 (annual meeting), volume 47. GSA, Geological
Society of America, October 2023.

[51] Stanley P. Mordensky, John J. Lipor, Jacob DeAngelo, Erick R. Burns,
and Cary R. Lindsey. When less is more: How increasing the complexity
of machine learning strategies for geothermal energy assessments may
not lead toward better estimates. Geothermics, 110:102662, May 2023.

[52] Aurelien T. Mozipo and John M. Acken. Residual vulnerabilities
to power side channel attacks of lightweight ciphers cryptography
competition finalists. IET Computers & Digital Techniques, 17(3–4):75–
88, May 2023. Student.

[53] Joshua Méndez Harper, Connor S. McDonald, Elias J. Rheingold,
Lena C. Wehn, Robin E. Bumbaugh, Elana J. Cope, Leif E. Lindberg,
Justin Pham, Yong-Hyun Kim, Josef Dufek, and Christopher H. Hendon.
Moisture-controlled triboelectrification during coffee grinding. Matter,
7(1):266–283, December 2023.

[54] George Opsahl and Marek Perkowski. From Ramon Llull To Lov
Grover: Towards a universal logic machine. In 2023 IEEE 53rd
International Symposium on Multiple-Valued Logic (ISMVL), pages 176–
183. IEEE, May 2023. Student.

[55] C. Lindsey J. DeAngelo E. Burns P. Caraccioli, S. Mordensky and
J. Lipor. Cursed? why one does not simply add new data sets to
supervised geothermal machine learning models. In Geothermal Rising
Conference (GRC), pages 1288–1313. Geothermal Rising, October 2023.
Student.

[56] C. Lindsey J. DeAngelo E. Burns P. Caraccioli, S. Mordensky and
J. Lipor. Don’t let negatives hold you back: Accounting for underlying
physics and natural distributions of hydrothermal systems when selecting
negative training sites leads to better machine learning predictions. In
Geothermal Rising Conference (GRC), volume 47, pages 1672–1693.
Geothermal Rising, October 2023. Student.

[57] B. Pejcinovic. Teaching and assessing ethics in a specialized professional
skills course. In 2023 46th MIPRO ICT and Electronics Convention
(MIPRO), pages 1599–1603. IEEE, May 2023.

[58] Renju Rajeev and Xiaoyu Song. An empirical study of fuzz stimuli
generation for asynchronous FIFO and memory coherency verification.
Journal of Electrical Electronics Engineering, 2(3):302–306, September
2023. Student.

[59] Amelia L. Ritger and David C. Burnett. Developing low-cost, simplified,
and open-source Durafet-based pH instrument electronics. In OCEANS
2023 - Limerick, pages 1–7. IEEE, June 2023.

[60] Marly Roncken, Ebelechukwu Esimai, Vivek Ramanathan, Warren A.
Hunt, and Ivan Sutherland. State access for RSFQ test and analysis.
IEEE Transactions on Applied Superconductivity, 33(5):1–7, August
2023.

[61] Araz Saleki, Bahram Jahanbakhshi Pordanjani, and Mahima Gupta.
A protective submodule design for increased resiliency in modular
multilevel converters. In 2023 IEEE Energy Conversion Congress and
Exposition (ECCE), pages 2431–2437. IEEE, October 2023. Student.

[62] Vrutangkumar V. Shah, Barbara H. Brumbach, Sean Pearson, Paul
Vasilyev, Edward King, Patricia Carlson-Kuhta, Martina Mancini, Fay B.
Horak, Kristen Sowalsky, James McNames, and Mahmoud El-Gohary.
Opal actigraphy (activity and sleep) measures compared to actigraph: A
validation study. Sensors, 23(4):2296, February 2023.

[63] Vrutangkumar V. Shah, Adam Jagodinsky, James McNames, Patricia
Carlson-Kuhta, John G. Nutt, Mahmoud El-Gohary, Kristen Sowalsky,
Graham Harker, Martina Mancini, and Fay B. Horak. Gait and turning
characteristics from daily life increase ability to predict future falls in
people with parkinson’s disease. Frontiers in Neurology, 14:1096401,
February 2023.

[64] Vrutangkumar V. Shah, James McNames, Patricia Carlson-Kuhta,
John G. Nutt, Mahmoud El-Gohary, Kristen Sowalsky, Martina Mancini,
and Fay B. Horak. Effect of levodopa and environmental setting
on gait and turning digital markers related to falls in people with
Parkinson's disease. Movement Disorders Clinical Practice, 10(2):223–
230, November 2023.

[65] W. Sheng and J. Lipor. K-subspaces for sequential data. In 2023 IEEE
International Workshop on Computational Advances in Multi-Sensor
Adaptive Processing (CAMSAP), pages 1–27. IEEE, December 2023.
Student.

[66] Peter Shmerko, Svetlana Yanushkevich, Marek Perkowski, Yumi
Iwashita, and Adrian Stoica. Discovering emerging applications of multivalued
logic: Protocols for human-autonomy teaming. In 2023 IEEE
53rd International Symposium on Multiple-Valued Logic (ISMVL), pages
209–214. IEEE, May 2023.

[67] S. Shrimaly and C. Teuscher. A novel deep learning-, camera-,
and sensor-based system for enforcing hand hygiene compliance in
healthcare facilities. IEEE Sensors, 23:13659–13670, 2023. Student.

[68] Martin Siderius. Cold war era acoustics: Foundational research on
ocean ambient noise. The Journal of the Acoustical Society of America,
153(6):R11–R11, 2023.

[69] Martin Siderius. Jeffrey Nystuen: An innovator in the field of ocean
ambient sound. The Journal of the Acoustical Society of America, 153(3
supplement):A134–A134, March 2023. Abstract.

[70] Martin Siderius. Model and data-driven homework problems for learning
signal processing concepts. The Journal of the Acoustical Society of
America, 153(3 supplement):A215–A215, March 2023. Abstract.

[71] Gozde Sivka and Jonathan Z. Bird. Studying the performance of
a quasi-zero stiffness magnetic constant force mechanism. In 2023
International Aegean Conference on Electrical Machines and Power
Electronics (ACEMP) & 2023 International Conference on Optimization
of Electrical and Electronic Equipment (OPTIM), pages 1–8. IEEE,
September 2023. Student.

[72] William K. Stevens, Martin Siderius, Matthew J. Carrier, Ying-Tsong
Lin, and Drew Wendeborn. Ocean ensemble-enabled stochastic acoustic
prediction with operational metrics: New England shelf break acoustics
signals and noise experiment. IEEE Journal of Oceanic Engineering,
48(4):1187–1214, October 2023. Student.

[73] William K. Stevens, Martin Siderius, Matthew J. Carrier, and Drew
Wendeborn. Optimally distributed receiver placements versus an environmentally
aware source: New England shelf break acoustics signals
and noise experiment. IEEE Journal of Oceanic Engineering, pages
1–27, 2023. Student.

[74] Ivan Sutherland, Quinn Morgan, Warren A. Hunt, Vivek Ramanathan,
and Marly Roncken. An IEEE-compatible JTAG test-access-port controller
for RSFQ logic and systems. IEEE Transactions on Applied
Superconductivity, 33(5):1–4, August 2023. Student.

[75] C. Teuscher. Material and physical reservoir computing for beyond
CMOS electronics: Quo vadis? In Proceedings of the 18th ACM International
Symposium on Nanoscale Architectures, Dresden, Germany,
Dec 18–20 2023. ACM.

[76] Yuchen Huang Tom Garrison, Branimir Pejcinovic. Design of an ECE
technical communication course for accelerating engineering careers.
In ASEE 2023 Annual Conference, pages 1–26, Baltimore, June 2023.
ASEE.

[77] D. Tran and C. Teuscher. Multi-tasking memcapacitive networks. IEEE
Journal on Emerging and Selected Topics in Circuits and Systems,
(1):323–331, 2023. Student.

[78] Zhuowei Wang, Weida Lin, Lianglun Cheng, Xiaoyu Song, and Yang
Wang. Multi-branch detection network based on trigger attention for
pedestrian detection under occlusion. Applied Intelligence, 53(6):6119–
6132, July 2023.

[79] Zhuowei Wang, Xiaoyu Song, Lianglun Cheng, Hai Wan, Wuqing Zhao,
and Tao Wang. Warp-aware adaptive energy efficiency calibration for
multi-GPU systems. IEEE Transactions on Computer-Aided Design of
Integrated Circuits and Systems, 42(5):1676–1690, May 2023.

[80] Zhuowei Wang, Le Yang, Haoran Lin, Genping Zhao, Zixuan Liu, and
Xiaoyu Song. Distributed deep learning optimization of heat equation
inverse problem solvers. IEEE Transactions on Computer-Aided Design
of Integrated Circuits and Systems, 42(12):4831–4843, December 2023.

[81] Ho Yin Wong, Hossein Baninajar, Bert Dechant, Parker Southwick,
and Jonathan Z. Bird. Design and experimental testing of a magnetic
gear for an electric aircraft drivetrain. IEEE Transactions on Industry
Applications, 59(4):3934–3944, July 2023. Student.

[82] Ho Yin Wong, Hossein Baninajar, Bertrand W. Dechant, Parker Southwick,
and Jonathan Z. Bird. Experimentally testing a halbach rotor
coaxial magnetic gear with 279nm/l torque density. IEEE Transactions
on Energy Conversion, 38(1):507–518, March 2023. Student.

[83] Xi Wu, Qingyi Li, Zhiqiang Li, Donghan Yang, Hui Yang, Wenjie Pan,
Marek Perkowski, and Xiaoyu Song. Circuit optimization of Grover
quantum search algorithm. Quantum Information Processing, 22(1):69,
January 2023.

[84] Xiao Zeng, Huijun Liang, Jun Yuan, Xiaoyu Song, and Guowu Yang.
Generalized affine equivalence checking of boolean functions via reachability
analysis. IEEE Transactions on Computer-Aided Design of
Integrated Circuits and Systems, 42(9):2966–2979, September 2023.

[85] Xiao Zeng, Guowu Yang, Xiaoyu Song, Marek A Perkowski, and Gang
Chen. Detecting affine equivalence of boolean functions and circuit
transformation. The Computer Journal, 66(9):2220–2229, July 2023