Electrical and Computer Engineering Commons^™

Ultragps: A Low-Cost, Open-Source Ultrasonic Positioning System, Scott Roelker Murillo, Nnamdi Jesse Onwuzurike

Posters - 2026

We want to raise the bar in high school robotics. In Texas, and likely in many other states as well, high school robotics has reached a roadblock when it comes to autonomous navigation. In many competitions, the autonomous portion sees few, teams successfully completing tasks that require positioning and guidance. In modern robotics, it is no longer sufficient for a robot merely be “remote controlled.” They need to be able to navigate independently and adapt to the environment around them. To achieve this goal a positioning system is needed to develop the foundational algorithms for autonomous controls. However, these systems …

Using Ai To Predict Energy Expenditure In Lower Limb Prosthesis Users, Nelly Diaz, Siem Hadish

Posters - 2026

• Computer vision has evolved from simple image classification and object detection to analyzing human motion and biomechanics (1). • CNN’s are usually focused on image classification, but, in this case, we are not asking the model if a person is walking. • Many real-world problems require regression: Predicting a continuous number like energy expenditure of walking is a complex task. • It is essential for Prosthetists to understand energy expenditure of their prosthetic patients (2). • An amputee may use 20-30% more energy to walk. • In this project, we developed an AI model to analyze human motion and …

Ai-Scm Cmm: A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines, Omar F. El-Gayar, Patti Brooks, Insu Park

Annual Research Symposium

Artificial intelligence is increasingly deployed in supply chain management, yet many organizations struggle to align adoption efforts with process readiness, data quality, governance, and workforce capabilities, and they still lack validated supply chain specific roadmap for assessing readiness, sequencing investments, and reducing implementation risk. This study develops and evaluates a Capability Maturity Model for Artificial Intelligence Integration in Supply Chain Management to address that gap. Using a design science research approach, the study synthesizes prior literature and practitioner knowledge to define maturity dimensions, capability indicators, and staged progression levels for AI integration in supply chain contexts. The artifact and assessment …

Effects Of Asphalt Or Concrete On Dynamic Wireless Power Transfer, Yuou Peng, Daniela Wolter Ferreira Touma

Shelby Hall Graduate Research Forum Posters

Dynamic Wireless Power Transfer (DWPT) allows measurements should be done for 100 kHz and 77 kHz. electrical energy to be transferred wirelessly to a moving object, and it also possesses the ability to charge vehicles continuously while they are traveling down a specially equipped road.

A method of embedding the coils in the surface course shows that all coils achieve more than 54 kW of power at an efficiency of 95% in the power transmission evaluation. Advantage: Ability to charge vehicles continuously while they are traveling down a specially equipped road. Objective: Investigation of physical and structural feasibility of embedding …

Real-Time Simulation Analysis Of V2g Technique For Demand Response Using Survey Based Data Approach, Joseph Bentil

Shelby Hall Graduate Research Forum Posters

The demand of energy in the world concerning the power industry keeps growing even with the introduction of EVs. Traditional based demand response relies on load shedding and energy storage systems. However, EVs with their battery pack can serve as mobile energy storage systems for grid services.

Development of data-driven microgrid model using survey based vehicle data to evaluate V2G and demand side management strategies to improve grid services and test emerging artificial-based control algorithms.

Artificial Sense-Making Dataset, Jason A. Bengtson, John Sandstrom, Nathan Camp

NMSU Library: Datasets

No abstract provided.

Development Of A Scalable 32x32 Capacitive Sensing Array Using Fpga Controlled Multi-Bus I2c Communication, Jonathan Digby

2026 Research Poster Competition

High-resolution capacitive sensor arrays are widely used in applications such as robotics, wearable devices, and biomedical devices where accurate detection of touch, proximity, and motion is crucial. As these systems are scaled up to achieve higher resolutions, challenges pertaining to communication reliability, data synchronization, and system latency become more important. Capacitive sensor arrays detect changes in capacitance caused by disturbances in nearby electric fields. While these arrays are effective at small scales, large arrays often suffer from signal degradation and latency when all sensors rely on a single controller and communication bus. This research addresses these challenges by developing a …

Power Solutions For Large Loads: Mastering Electrical Supply For New Industrial Facilities, Chris Boyer, William Bourgeois, Skyler Bryant

Mavs Open Press Open Educational Resources - Archive

The next 25 years will see unprecedented growth in U.S. electricity demand, driven primarily by data centers for AI and industrial electrification. This surge presents unique challenges for power generation, especially for large loads requiring hundreds of megawatts to gigawatts from a single location. Conventional grid expansion is inadequate, prompting the need for innovative, flexible, and sustainable solutions. This book explores the opportunities, challenges, and hybrid generation strategies to support the evolving landscape of large-scale electric loads.

Rail Anomalies Dataset For Semantic Segmentation Analysis, Saarah Majid, Arian Izadi, Paul Stanik

Undergraduate Research Symposium Posters

Rail maintenance is a core necessity of upkeep, maintenance, deterioration, and safety implications of large rail systems. Doing so in an orderly and uniform way, however, has proven difficult with the thousands of miles that railways span. Use of computer vision on locomotives during normal operation can allow for a more streamlined process that would eliminate the need for costly specialized equipment and disruptions of normal operations. This project aims to efficiently detect vegetation overgrowth, mud-pumping, and standing water on railways. With the use of machine learning algorithms and dataset curation, models can be trained, allowing them to gain a …

Spatiotemporal Feature Extraction From Vertical Grf Signals For Parkinson’S Disease Severity Assessment Using Physionet And Gaitpd, Nitya Jadeja

Undergraduate Research Symposium Posters

Parkinson’s Disease (PD) is a progressive neurodegenerative disorder that impairs motor coordination, often resulting in measurable gait disturbances. Vertical ground reaction force (VGRF) signals provide a quantitative means of capturing these abnormalities and monitoring disease progression. This study focuses on the extraction and analysis of spatiotemporal gait features such as stride variability, stance duration, and force imbalance, from the PhysioNet Gait dataset to better understand their correlation with PD severity. Using gait analysis and machine learning techniques, recent computational models are reviewed and evaluated for their ability to assess PD progression through VGRF data. The analysis compares data-driven approaches with …

Real-Time Ai-Enabled Therapeutic Device For Improving Peripheral Perfusion And Glucose Regulation In Type 2 Diabetes, Torryana Tanis

Undergraduate Research Symposium Posters

Type 2 Diabetes Mellitus is frequently accompanied by peripheral microvascular disease, leading to impaired lower limb perfusion, impaired healing, and vulnerability to ulcers and amputation. The existing medical devices are predominantly aimed at systemic glucose control and do not have local therapeutic intervention to improve circulation or allow muscular glucose delivery. To meet this crucial demand, we have developed a portable, two-in-one biofeedback device that combines non-invasive blood glucose monitoring and Electronic Muscle Stimulation (EMS) therapy for the calf muscle. The glucose monitoring subsystem implements near-infrared (NIR) spectroscopy to measure skin light absorptance on the index finger. Real-time blood glucose …

Digital Twin Of The Unlv Campus For Safe Autonomous Vehicle Simulation, Carlos Funes

Undergraduate Research Symposium Posters

With the rise of artificial intelligence and machine learning algorithms, self-driving cars are becoming increasingly prevalent on our roads. By utilizing these technologies, we can reduce the number of accidents caused by distracted driving. Before implementing these systems in vehicles, however, it is essential to conduct numerous tests. Traditional evaluation of driverless cars on real-world roads can be both expensive and hazardous. To address this, creating a digital twin of an actual road minimizes unexpected hazards, allowing researchers to safely and efficiently test self-driving car programs in high-risk scenarios using computer simulations. This research outlines the process of generating a …

Diving Video Analysis Using Multitask Learning Action Quality Assessment (Mtl-Aqa), Taylor Gauthier

Undergraduate Research Symposium Posters

In many sports, videos are being used to assist in judging. For example, they are being used to review quick actions or confirm the actions being performed. For diving specifically, the videos of a dive can be at most 3 seconds long, and divers can perform a range of somersaults and twists within that time frame, all of which affect the score, classification, and dive number. Using these videos, a Multitask Learning Action Quality Assessment (ML-AQA) program, based on machine learning, from a vast dataset, is able to produce an Action Quality Score out of 100, Factorized Action Recognition (classifications), …

Impulse, Fall 2025, Jill Fier, Sierra Brown, Jerome J. Lohr College Of Engineering

Impulse (Jerome J. Lohr College of Engineering Publication)

2 | Faculty News
3 | SDSU Vet Hua to Head Civil Engineering
6 | Ad Lunam — To the Moon
10 | Building A Safety Culture
11 | Department News
12 | Surface Mount Technology Kickoff
14 | Construction Management Student, Volleyball Player Building Success Piece by Piece
16 | Student Awards, Honors
18 | Student Competition Results
20 | NASA Win Opens Doors for New Product Development Order
22 | SDSU Engineering Student Tabbed as Noblereach Fellow
26 | Knabach Award Recipient from Apprentice Lineman to Company President
28 | Metzger Create Faculty Endowment for SDSU Engineering
30 …

Impulse, Spring 2025, Jill Fier, Micayla Standish, Jerome J. Lohr College Of Engineering

Impulse (Jerome J. Lohr College of Engineering Publication)

2 | Faculty, Staff Honored
4 | The State of Lithium
6 | 100 Years of Ag and Biosystems Engineering
8 | Major Milestones
12 | Distinguished Engineer Geldert-Murphy
14 | Distinguished Engineering Heitkamp
16 | By the Numbers
18 | Space Grant Consortium at SDSU
20 | Healthcare Systems Engineering Program
22 | Ridgway Three-Peat
23 | Aerospace Club Launches
24 | Power and Energy Scholarships
25 | More Take Part in Nasa Challenges
26 | Weber Recognized as Student Leader
30 | Wild Hare Racing Ready
32| Sebern’s Success as Sole Operator
34 | Meink: From Prairie to …

Clinical Use Of Sit2stand Ai Application For Kinematic Analysis In Prosthesis Users., Samerial Brown

Posters - 2025

Biomechanical analysis is a tool to evaluate prosthetic and orthotic patient's. These tools offer the clinician capability of understanding the mechanism of injury, gait deviation or prosthesis problem. Video based analysis require expensive hardware, software, and training which sometimes costs $40-100,000.

The recent advent of artificial intelligence (AI) has opened up the possibility of acquiring high speed human motion video analysis using low-cost hardware and open-source machine learning algorithms. Still, free assessments like the Sit2Stand test is a current clinical outcome measure which assesses ability of a patient to stand and sit as fast as possible 5x. The faster the …

Discrete-Time Signal Processing, Carl Greco

ATU Faculty OER Books and Materials

No abstract provided.

Adaptive Core Materials For Wireless Power Transfer: Evaluating Mr Fluid In Static And Dynamic Scenarios, Abrer Mohsin Samin, Daniela Wolter Ferreira Touma

Shelby Hall Graduate Research Forum Posters

This research introduces the behavior of Magnetorheological (MR) material as a core for Wireless Power Transfer (WPT) and Dynamic Wireless Power Transfer (DWPT) systems. MR fluids are flexible and easily fabricable material, although they offer a lower magnetic permeability compared to conventional Ferrite cores. The main objective of this research is to investigate the potential of MR fluid as a core for static and dynamic WPT system if it improves transfer efficiency, specially under misalignment and movement. MR fluids, known for their ability to rapidly change their rheological properties in response to magnetic fields, support the power transmission between transmitter …

Infinitesimal Elements In Cartesian, Cylindrical And Spherical Coordinate Systems, Ashanthi Maxworth Phd

EM Fields With Prof. Maxworth

In this chapter we introduce you to the infinitesimal surface and volument elements in Cartesian, Cylindrical and Spherical coordinate systems. Electromagnetic fields is based on multi-variate vector calculus. The following three documents show, how the infinitesimal surface area elements are defined in Catesian, Cylindrical and Spherical coordinate systems.

Maxwell's Second Equation: The Gauss's Law For Magnetostatic Fields, Ashanthi Maxworth Phd

EM Fields With Prof. Maxworth

Gauss's Law for magnetostatic fields says that the total magnetic flux through a closed surface is equal to zero. In otherwords, there are no magnetic monopoles. This law has been applied in multiple mathematical derivations. Watch the short video where Dr. Maxworth explains this law. In the worksheet you can observe the magnetic flux generated due to a current through a straight coaxial cable. Note that the magnetic flux always exisit as close loops making the total net flux through a closed surface zero and the direction of the magnetic field can be derived by the right hand rule, i.e …

Maxwell's Third Equation: The Faraday's Law, Ashanthi Maxworth Phd

EM Fields With Prof. Maxworth

Faraday's Law states that the voltage induced in a closed loop is equal to the rate of change of magnetic flux through that loop. As we know, when there is no fluctuating magnetic flux, there is no voltage difference across a closed loop. But when there is a changing magnetic field, a voltage is induced within a closed loop known as the electromotive force or the EMF. There are two types of electromotive forces: the motional EMF and the transformer EMF. In motional EMF the magnetic field is kept steady while the loop is moved such that it cuts the …

It's Not As Bad As You Think: Detecting Ai-Generated Voices, Yong Qin Xu

Undergraduate Research Symposium Lightning Talks

Advances in machine learning have opened up the world to a brand new frontier of fraudulent phone calls which the average person may not be in any way prepared for. From imitations of a loved one's voice to lifelike mimicry of human callers, telephone scams may become harder than ever to anticipate or prevent now that criminals have the help of AI on their side. This is why in my research paper, I aim to analyze and compare two existing methods of detecting the authenticity of human voice recordings in order to demonstrate and explain currently available technology that's capable …

Impulse, Fall 2024, Jill Fier, Micayla Standish, Jerome J. Lohr College Of Engineering

Impulse (Jerome J. Lohr College of Engineering Publication)

2 | Math Teacher Counts Her Blessings
3 | New Roles for Burckhard
4 | Three New Department Heads
6 | New Faculty and Staff
8 | Taking Engineering on The Road
10 | Dennis Helder Named Distinguished Alum
12 | Mccomish Endowment Making an Impact
14 | Innovate Sodak Supports Local Projects
16 | R1 the SDSU Way
18 | Nation’s Top Civil Engineering Student Chapter
22 | Hunter Wallster Setting Records
24 | Jenna Currier: When Passion Meets Talent
28 | Student Teams Compete
30 | RASC-AL Team Overcomes Setback
32 | Break the Ice Team Comes Home …

Uas-Guided Electric And Magnetic Field Data Distribution Across Transmission Lines, Tanzim Jim Hassan, Jamison Jangula, Akshay Ram Ramchandra, Prashanth Rajagopalan, Prakash Ranganathan, Ryan Adams

Graduate Research Achievement Day Posters

This poster discusses an electric (E) and magnetic (H) field data gathering process across a series of High Voltage (HV) transmission lines. Data was collected from one DC and four AC Transmission (Tx) lines. Multiple DJI UAV (M2EA, M30, and M300) were used to collect E/H field measurements with an onboard set-up. These measurements included parameters such as E field in V/m, H field in mG, Battery voltage in V, Battery current A, Battery percentage in %, Battery Temperature in F, and latitude and longitude. The preliminary findings indicate that distance and sensor orientation affect E/H field distribution.

Machiavellianism And Security: Leveraging Queries At Llms For Black Hat Operations, Niroop Sugunaraj, Prakash Ranganathan

Electrical Engineering Posters and Presentations

Critical infrastructure like the power grid are at risk from increasing cyber threats due to the growth of distributed energy resources ( relying heavily on internet connectivity Compromised DER endpoints are susceptible to cyber attacks and it is important to first identify evolving cybersecurity issues in widely deployed architectures, communication protocols, and networks Information produced from artificial intelligence ( based co pilots are emerging threats that can offer convenient and detailed playbooks to compromise DERs through multiple attack vectors even for a non technical black hat community and should therefore be considered as a repository for unethical hackers

The Sensory Accommodation Framework For Technology: Bridging Sensory Processing To Social Cognition, Louanne Boyd

Engineering Faculty Books and Book Chapters

This book provides a thorough introduction to the many facets of designing technologies for autism, with a particular focus on optimizing visual attention frameworks. This book is designed to provide a detailed overview of several aspects of technology for autism. Each Chapter illustrates different parts of the Sensory Accommodation Framework and provides examples of relevant available technologies. The books first discusses a variety of skills that make up human development as well as a history of autism as a diagnosis and the birth of the neurodiversity movement. It goes on to detail individual types of therapy and how they interact …

An Animated Introduction To Digital Logic Design, John D. Carpinelli

Open and Affordable Textbooks

There is a newer edition of this textbook available here.

This book is designed for use in an introductory course on digital logic design, typically offered in computer engineering, electrical engineering, computer science, and other related programs. Such a course is usually offered at the sophomore level. This book makes extensive use of animation to illustrate the flow of data within a digital system and to step through some of the procedures used to design and optimize digital circuits.

All of the animations for this book can be found here: https://digitalcommons.njit.edu/dld-animations/

Beirut Arab University - Faculty Of Engineering - Newsletter Issue 0, Faculty Of Engineering, Beirut Arab University

Engineering Newsletters

No abstract provided.

Smart Bidirectional Charging For Frequency Support Of A Low-Inertia Vehicle-To-Grid System In Presence Of Energy Storage Systems, Majid Mehrasa, Hossein Salehfar, Daisy Flora Selvaraj, Sina Ibne Ahmed

EERC Publications, Papers, & Presentations

This paper focuses on the challenge to develop coordination between an electric vehicle (EV) charger, energy storage system (ESS), and smart charging/discharging strategy in a low-inertia grid-connected vehicle-to-grid system. Two smart bidirectional charging strategies are proposed to control EV and ESS for minimizing the frequency error by considering the EV constraints.

Robust Control Strategy For A High-Power Off-Board Ev Charger Connected To Grid-Tied Critical Loads, Majid Mehrasa, Daisy Flora Selvaraj, Hossein Salehfar

EERC Publications, Papers, & Presentations

One of the main duties of electric vehicles (EVs) is to provide smooth and robust power flow for the grid-tied loads in the vehicle-to-grid application. To this end, this paper proposes a comprehensive control system for a high-power off-board EV charger to appropriately generate/consume power when sudden reference power alteration and disturbance on the DC-link voltage measurement exist.