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Simplifying complex digital sequential circuit by an innovative mixed-signal circuit alternative

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Bibliometrics & citations, view options, recommendations, testing of embedded a/d converters in mixed-signal circuit.

In this paper, a complete functional testing of embedded ADC is presented. The integral non-linearity error, INLE, differential non-linearity error, DNLE, offset error, OSE, gain error and the signal-to-noise ratio, SNR are rested. The problem related ...

A low voltage supply four-quadrant analog multiplier circuit

A four-quadrant analog multiplier circuit, for low voltage supply, is presented. Its advantages are as follow: it can be operating on low voltage supply, it can use either a single power supply or two power supplies, and all transistors used are the ...

A Wired-AND Current-Mode Logic Circuit Technique in CMOSfor Low-Voltage, High-Speed and Mixed-Signal VLSIC

A wired-AND current-mode logic (WCML) circuit technique in CMOS technology for low-voltage and high-speed VLSI circuits is proposed, and a WCML cell library is developed using standard 0.8 micron CMOS process. The proposed WCML technique applies the analog ...

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• Digital sequential circuit
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• Analog circuit
• Clock auto-generator
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A chip-scale titanium-sapphire laser

As lasers go, those made of titanium-sapphire (Ti:sapphire) are considered to have “unmatched” performance. They are indispensable in many fields, including cutting-edge quantum optics, spectroscopy, and neuroscience. But that performance comes at a steep price. Ti:sapphire lasers are big, on the order of cubic feet in volume. They are expensive, costing hundreds of thousands of dollars each. And they require other high-powered lasers, themselves costing $30,000 each, to supply them with enough energy to function.

As a result, Ti:sapphire lasers have never achieved the broad, real-world adoption they deserve – until now. In a dramatic leap forward in scale, efficiency, and cost, researchers at Stanford University have built a Ti:sapphire laser on a chip. The prototype is four orders of magnitude smaller (10,000x) and three orders less expensive (1,000x) than any Ti:sapphire laser ever produced.

“This is a complete departure from the old model,” said Jelena Vučković , the Jensen Huang Professor in Global Leadership, a professor of electrical engineering, and senior author of the paper introducing the chip-scale Ti:sapphire laser published in the journal Nature . “Instead of one large and expensive laser, any lab might soon have hundreds of these valuable lasers on a single chip. And you can fuel it all with a green laser pointer.”

Profound benefits

“When you leap from tabletop size and make something producible on a chip at such a low cost, it puts these powerful lasers in reach for a lot of different important applications,” said Joshua Yang , a doctoral candidate in Vučković’s lab and co-first author of the study along with Vučković’s Nanoscale and Quantum Photonics Lab colleagues, research engineer Kasper Van Gasse and postdoctoral scholar Daniil M. Lukin .

In technical terms, Ti:sapphire lasers are so valuable because they have the largest “gain bandwidth” of any laser crystal, explained Yang. In simple terms, gain bandwidth translates to the broader range of colors the laser can produce compared to other lasers. It’s also ultrafast, Yang said. Pulses of light issue forth every quadrillionth of a second.

But Ti:sapphire lasers are also hard to come by. Even Vučković’s lab, which does cutting-edge quantum optics experiments, only has a few of these prized lasers to share. The new Ti:sapphire laser fits on a chip that is measured in square millimeters. If the researchers can mass-produce them on wafers, potentially thousands, perhaps tens-of-thousands of Ti:sapphire lasers could be squeezed on a disc that fits in the palm of a human hand.

“A chip is light. It is portable. It is inexpensive and it is efficient. There are no moving parts. And it can be mass-produced,” Yang said. “What’s not to like? This democratizes Ti:sapphire lasers.”

How it’s done

To fashion the new laser, the researchers began with a bulk layer of titanium-sapphire on a platform of silicon dioxide (SiO2), all riding atop true sapphire crystal. They then grind, etch, and polish the Ti:sapphire to an extremely thin layer, just a few hundred nanometers thick. Into that thin layer, they then pattern a swirling vortex of tiny ridges. These ridges are like fiber-optic cables, guiding the light around and around, building in intensity. In fact, the pattern is known as a waveguide.

“Mathematically speaking, intensity is power divided by area. So, if you maintain the same power as the large-scale laser, but reduce the area in which it is concentrated, the intensity goes through the roof,” Yang says. “The small scale of our laser actually helps us make it more efficient.”

The remaining piece of the puzzle is a microscale heater that warms the light traveling through the waveguides, allowing the Vučković team to change the wavelength of the emitted light to tune the color of the light anywhere between 700 and 1,000 nanometers – in the red to infrared.

Spotlight on applications

Vučković, Yang, and colleagues are most excited about the range of fields that such a laser might impact. In quantum physics, the new laser provides an inexpensive and practical solution that could dramatically scale down state-of-the-art quantum computers. In neuroscience, the researchers can foresee immediate application in optogenetics, a field that allows scientists to control neurons with light guided inside the brain by relatively bulky optical fiber. Small-scale lasers, they say, might be integrated into more compact probes opening up new experimental avenues. In ophthalmology, it might find new use with Nobel Prize-winning chirped pulse amplification in laser surgery or offer less expensive, more compact optical coherence tomography technologies used to assess retinal health.

Next up, the team is working on perfecting their chip-scale Ti:sapphire laser and on ways to mass-produce them, thousands at a time, on wafers. Yang will earn his doctorate this summer based on this research and is working to bring the technology to market.

“We could put thousands of lasers on a single 4-inch wafer,” Yang says. “That’s when the cost per laser starts to become almost zero. That’s pretty exciting.”

Contributing authors include postdoctoral scholar Melissa A. Guidry and doctoral candidates Geun Ho Ahn and Alexander D. White. Vučković is also a member of Stanford Bio-X , Stanford PULSE Institute , and the Wu Tsai Neurosciences Institute .

Funding for this research courtesy of the Institute of Engineering and Technology A.F. Harvey Prize , the Vannevar Bush Faculty Fellowship from the U.S. Department of Defense, the Defense Advanced Research Projects Agency (DARPA), and the Air Force Office of Scientific Research (AFOSR). Part of this work was performed at the Stanford Nano Shared Facilities (SNSF) / Stanford Nanofabrication Facility (SNF) , supported by the National Science Foundation.

Discover more in the Stanford Report

Related : Jelena Vučković , professor of electrical engineering

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Electrical Engineering and Systems Science > Audio and Speech Processing

Title: msr-86k: an evolving, multilingual corpus with 86,300 hours of transcribed audio for speech recognition research.

Abstract: Recently, multilingual artificial intelligence assistants, exemplified by ChatGPT, have gained immense popularity. As a crucial gateway to human-computer interaction, multilingual automatic speech recognition (ASR) has also garnered significant attention, as evidenced by systems like Whisper. However, the proprietary nature of the training data has impeded researchers' efforts to study multilingual ASR. This paper introduces MSR-86K, an evolving, large-scale multilingual corpus for speech recognition research. The corpus is derived from publicly accessible videos on YouTube, comprising 15 languages and a total of 86,300 hours of transcribed ASR data. We also introduce how to use the MSR-86K corpus and other open-source corpora to train a robust multilingual ASR model that is competitive with Whisper. MSR-86K will be publicly released on HuggingFace, and we believe that such a large corpus will pave new avenues for research in multilingual ASR.

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Research progress on piezoelectric acoustic transducers: Principles, materials, performance, and applications

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Flexural deflection prediction of piezo-composite unimorph actuator using material orthotropy and nonlinearity of piezoelectric material layer.

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Characterization of 1-3 Piezoelectric Composite with a 3-Tier Polymer Structure

Enhanced energy harvesting using multilayer piezoelectric ceramics, multi-material 3d printing of piezoelectric and triboelectric integrated nanogenerators with voxel structure, fabrication of surface-micromachined circular piezoelectric micromachined ultrasonic transducers with various etching holes using xef2 and simulation of their vibrational characteristics, life-cycle health monitoring of composite structures using piezoelectric sensor network, lcd-sla 3d printing of batio3 piezoelectric ceramics, piezoelectric nanomaterials activated by ultrasound: the pathway from discovery to future clinical adoption, design of piezo-resistive type acoustic vector sensor using graphene for underwater applications, related papers.

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Article 22 February 2023 | Open Access

Suppressing quantum errors by scaling a surface code logical qubit

A study demonstrating increasing error suppression with larger surface code logical qubits, implemented on a superconducting quantum processor.

• Rajeev Acharya
• , Igor Aleiner
•  &  Ningfeng Zhu

Article | 15 February 2023

Electronic metadevices for terahertz applications

Through microscopic manipulation of radiofrequency fields, a new class of compact terahertz devices is proposed, setting the stage for next-generation ultrafast semiconductor electronics.

• Mohammad Samizadeh Nikoo
•  &  Elison Matioli

Article 18 January 2023 | Open Access

Vertical organic electrochemical transistors for complementary circuits

Vertical organic electrochemical transistors demonstrating unprecedented performances in both p- and n-type operation modes have been synthesized from new electro-active and ion-permeable semiconducting polymers by the interface engineering of electro-active blend layers.

• , Jianhua Chen
•  &  Antonio Facchetti

Perspective | 30 November 2022

Dendrocentric learning for synthetic intelligence

The concept of dendrocentric learning artificial intelligence is proposed to replace synaptocentric learning, reducing the energy use requirement and removing the thermal constraint.

• Kwabena Boahen

Article | 16 November 2022

A hybrid optical–wireless network for decimetre-level terrestrial positioning

A terrestrial networked positioning system based on a hybrid optical–wireless telecommunication infrastructure and that is independent of global navigation satellite systems is demonstrated for urban environments with decimetre-level accuracy. 

• Jeroen C. J. Koelemeij
•  &  Christian C. J. M. Tiberius

Article | 09 November 2022

Ultra-bright, efficient and stable perovskite light-emitting diodes

The authors develop a method for the production of ultra-bright, efficient and stable perovskite light-emitting diodes, achieved with a simple in situ reaction process.

• Joo Sung Kim
• , Jung-Min Heo
•  &  Tae-Woo Lee

Ferrobotic swarms enable accessible and adaptable automated viral testing

A handheld printed circuit board-based programmable platform using ferrobots can perform the complex, laboratory-equivalent procedures involved in multiplexed and pooled nucleic acid amplification testing, allowing for the decentralization of viral diagnostics.

• Haisong Lin
• , Wenzhuo Yu
•  &  Sam Emaminejad

Article | 05 October 2022

The time-programmable frequency comb and its use in quantum-limited ranging

A self-referenced optical frequency comb with digital electronics is used for real-time attosecond control of the comb’s pulse train, and can be used in quantum-limited sensing.

• Emily D. Caldwell
• , Laura C. Sinclair
•  &  Jean-Daniel Deschenes

Article 17 August 2022 | Open Access

A compute-in-memory chip based on resistive random-access memory

A compute-in-memory neural-network inference accelerator based on resistive random-access memory simultaneously improves energy efficiency, flexibility and accuracy compared with existing hardware by co-optimizing across all hierarchies of the design.

• , Rajkumar Kubendran
•  &  Gert Cauwenberghs

Article | 01 August 2022

P-type electrical contacts for 2D transition-metal dichalcogenides

Clean van der Waals contacts of high-work-function metals have been demonstrated on few- and single-layered MoS 2 and WSe 2 , leading to p-type characteristics on single-layer MoS 2 and purely p-type characteristics on WSe 2 .

• , Jong Chan Kim
•  &  Manish Chhowalla

Perspective | 22 June 2022

Two-dimensional materials prospects for non-volatile spintronic memories

Developments, challenges and opportunities in using two-dimensional materials for the next generation of non-volatile spin-based memory technologies are reviewed, and possible disruptive improvements are discussed.

• Hyunsoo Yang
• , Sergio O. Valenzuela
•  &  Stephan Roche

Article 22 June 2022 | Open Access

Organic bipolar transistors

An organic bipolar junction transistor composed of highly crystalline rubrene thin films has a device architecture that could be used in organic electronics with greatly improved high-frequency performance

• Shu-Jen Wang
• , Michael Sawatzki
•  &  Karl Leo

Article | 01 June 2022

An on-chip photonic deep neural network for image classification

Using a three-layer opto-electronic neural network, direct, clock-less sub-nanosecond image classification on a silicon photonics chip is demonstrated, achieving a classification time comparable with a single clock cycle of state-of-the-art digital implementations.

• Farshid Ashtiani
• , Alexander J. Geers
•  &  Firooz Aflatouni

Perspective | 13 April 2022

Brain-inspired computing needs a master plan

The benefits and future prospects of neuromorphic, or bio-inspired, computing technologies are discussed, as is the need for a global, coordinated approach to funding, research and collaboration.

•  &  A. J. Kenyon

Article | 13 April 2022

Intelligent infrared sensing enabled by tunable moiré quantum geometry

Tunable quantum geometric properties of moiré graphene enable the use of a convolutional neural network to simultaneously decipher the light polarization, power and wavelength in a subwavelength-scale smart device.

• , Shaofan Yuan
•  &  Fengnian Xia

Article | 06 April 2022

Ultrathin ferroic HfO 2 –ZrO 2 superlattice gate stack for advanced transistors

In the standard Si transistor gate stack, replacing conventional dielectric HfO 2  with an ultrathin ferroelectric–antiferroelectric HfO 2 –ZrO 2  heterostructure exhibiting the negative capacitance effect demonstrates ultrahigh capacitance without degradation in leakage and mobility, promising for ferroelectric integration into advanced logic technology.

Article | 23 March 2022

High-brightness all-polymer stretchable LED with charge-trapping dilution

A material design strategy and fabrication process is described to produce all-polymer light-emitting diodes with high brightness, current efficiency and good mechanical stability, with applications in skin electronics and human–machine interfaces.

• Zhitao Zhang
• , Weichen Wang

Article | 16 March 2022

Single fibre enables acoustic fabrics via nanometre-scale vibrations

A piezoelectric fibre woven into a machine-washable fabric converts tenuous sound pressure into electric signals and is used to listen to cardiac sound, determine the source direction of a sound, and record and play back audio.

• , Grace Noel
•  &  Yoel Fink

Wind dispersal of battery-free wireless devices

A dandelion-inspired wireless solar-powered sensing device weighing 30 milligrams that transmits data through radio backscatter achieves dispersal over a wide area by travelling on the breeze, and successfully lands upright.

• Vikram Iyer
• , Hans Gaensbauer
•  &  Shyamnath Gollakota

Article | 12 January 2022

A crossbar array of magnetoresistive memory devices for in-memory computing

A crossbar array of magnetic memory to execute analogue in-memory computing has been developed, and performs image classification and facial detection at low power.

• Seungchul Jung
• , Hyungwoo Lee
•  &  Sang Joon Kim

Article | 08 December 2021

High-frequency and intrinsically stretchable polymer diodes

A stretchable anode, cathode, semiconductor and current collector have been developed to create stretchable diodes that can operate at megahertz frequencies for use in wirelessly operated, skin-like wearable electronics.

• Naoji Matsuhisa
• , Simiao Niu

Article | 03 November 2021

Transition metal-catalysed molecular n-doping of organic semiconductors

Electron doping of organic semiconductors is typically inefficient, but here a precursor molecular dopant is used to deliver higher n-doping efficiency in a much shorter doping time.

• , Chi-Yuan Yang
•  &  Xugang Guo

Article | 01 September 2021

Scalable production of high-performing woven lithium-ion fibre batteries

Rechargeable lithium-ion batteries produced in the form of metre-long fibres can be woven into sturdy, washable textiles on an industrial loom and used to power other fabric-based electronic components.

• , Chenhao Lu
•  &  Huisheng Peng

Decision trees within a molecular memristor

Multiple redox transitions in a molecular memristor can be harnessed as ‘decision trees’ to undertake complex and reconfigurable logic operations in a single time step.

• Sreetosh Goswami
• , Rajib Pramanick
•  &  R. Stanley Williams

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Volume 17 , Issues 10, 2024

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Digital Commons @ USF > College of Engineering > Electrical Engineering > Theses and Dissertations

Electrical Engineering Theses and Dissertations

Theses/dissertations from 2024 2024.

Effects of Unobservable Bus States on Detection and Localization of False Data Injection Attacks in Smart Grids , Moheb Abdelmalak

Modeling the Human Learning Process Using an Industrial Steam Boiler Analogy to Design a Psychophysiological-Based Hypermedia Adaptive Automation System , Liliana María Villavicencio López

Theses/Dissertations from 2023 2023

On the Performance Enhancement of Beamspace MIMO and Non-orthogonal Multiple Access for Future Cellular Networks , Sinasi Cetinkaya

Enhancing Smart Grid Security and Reliability through Graph Signal Processing and Energy Data Analytics , Md Abul Hasnat

Fabric-Based Organic Electrochemical Transistor Towards Wearable pH Sensing Electronics , Nestor Osvaldo Marquez Rios

Novel Systems Engineering Framework Analysis of Photovoltaic Models and Equations , Peter R. Michael

Deep Learning Enhancement and Privacy-Preserving Deep Learning: A Data-Centric Approach , Hung S. Nguyen

Cyber-Physical Multi-Robot Systems in a Smart Factory: A Networked AI Agents Approach , Zixiang Nie

Multiple Access Techniques Enabling Diverse Wireless Services , Mehmet Mert Şahin

Deep Reinforcement Learning Based Optimization Techniques for Energy and Socioeconomic Systems , Salman Sadiq Shuvo

Process Automation and Robotics Engineering for Industrial Processing Systems , Drake Stimpson

Theses/Dissertations from 2022 2022

Stability and Interaction Analysis of Inverter-Based Resources in Power Grids , Li Bao

Healthcare IoT System and Network Design , Halil Ibrahim Deniz

Video Anomaly Detection: Practical Challenges for Learning Algorithms , Keval Doshi

Data-Driven State Estimation for Improved Wide Area Situational Awareness in Smart Grids , Md Jakir Hossain

Deep Learning and Feature Engineering for Human Activity Recognition: Exploiting Novel Rich Learning Representations and Sub-transfer Learning to Boost Practical Performance , Ria Kanjilal

Assistive Technologies for Independent Navigation for People with Blindness , Howard Kaplan

Diagnosis of Neurodegenerative Diseases Using Higher Order Statistical Analysis of Electroencephalography Signals , Seyed Alireza Khoshnevis

Accelerating Multiparametric MRI for Adaptive Radiotherapy , Shraddha Pandey

A Model-Based Fault Diagnosis in Dynamic Systems via Asynchronous Motors System Identification or Testing, and Control Engineering Observers , Kenelt Pierre

Improving Wireless Networking from the Learning and Security Perspectives , Zhe Qu

Improving Robustness of Deep Learning Models and Privacy-Preserving Image Denoising , Hadi Zanddizari

Theses/Dissertations from 2021 2021

A Method for Compact Representation of Heterogenous and Multivariate Time Series for Robust Classification and Visualization , Alla Abdella

Dynamical System and Parameter Identification for Power Systems , Abdullah Abdulrahman Alassaf

Phasor Domain Modeling of Type-III Wind Turbines , Mohammed Alqahtani

An Automated Framework for Connected Speech Evaluation of Neurodegenerative Disease: A Case Study in Parkinson's Disease , Sai Bharadwaj Appakaya

Investigation of CoO ATO for Solar Cells and Infrared Sheaths , Manopriya Devisetty Subramanyam

Thermal Management of Lithium-ion Batteries Using Supercapacitors , Sanskruta Dhotre

Effect of Se Composition in CdSe 1-X T eX /CdTe Solar Cells , Sheikh Tawsif Elahi

Microencapsulation of Thermochromic Materials for Thermal Storage and Energy Efficiency of Buildings , Abdullatif Hakami

Piezoelectrically-Transduced ZnO-on-Diamond Resonators with Enhanced Signal-to-Noise Ratio and Power-handling Capability for Sensing and Wireless Communication Applications , Xu Han

Preparation and Characterization of Single Layer Conducting Polymer Electrochromic and Touchchromic Devices , Sharan Kumar Indrakar

Security Attacks and Defenses in Cyber Systems: From an AI Perspective , Zhengping Luo

Power System Optimization Methods: Convex Relaxation and Benders Decomposition , Minyue Ma

Metal Oxide Sensor Array Test Bed Prototype for Diagnostic Breath Analysis , Tiffany C. Miller

Packaging of Active RF Beamforming IC Utilizing Additive Manufacturing , Ryan Murphy

Adaptive Network Slicing in Fog RAN for IoT with Heterogeneous Latency and Computing Requirements: A Deep Reinforcement Learning Approach , Almuthanna Nassar

Development of a Bipolar Radiofrequency Ablation Device for Renal Denervation , Noel Perez

Copper Electrodeposition Assisted by Hydrogen Evolution for Wearable Electronics: Interconnections and Fiber Metallization , Sabrina M. Rosa Ortiz

Theory and Application of Dielectric Rod Antennas and Arrays , Gabriel Saffold

Advanced Organic Polymers for the Nanoscale Fabrication of Fiber-based Electronics Using the Electrospinning Technique , William Serrano Garcia

Transparent Planar Micro-Electrode Array for In-Vitro Electric Field Mediated Gene Delivery , Raj Himatlal Shah

High Speed Switching for Plasma Based Electroporation , Shivangi Sharma

Development of Small-Scale Power Supplies for Wearable Medical Diagnostic Devices , Donny Stiner

Novel Approach to Integrate CAN Based Vehicle Sensors with GPS Using Adaptive Filters to Improve Localization Precision in Connected Vehicles from a Systems Engineering Perspective , Abhijit Vasili

Modeling, Control and Analysis of Inverter-Based Generators in the Power Grids , Yangkun Xu

Fiber-Based Supercapacitor for Wearable Electronics , Rohit Lallansingh Yadav

Modeling, Identification, and Stability Analysis of Inverter-Based Resources Integrated Systems , Miao Zhang

Data-Oriented Approaches towards Mobile, Network and Secure Systems , Shangqing Zhao

Strategies in Botnet Detection and Privacy Preserving Machine Learning , Di Zhuang

Theses/Dissertations from 2020 2020

Architecture design and optimization of Edge-enabled Smart Grids , Adetola B. Adeniran

Multimodal Data Fusion and Attack Detection in Recommender Systems , Mehmet Aktukmak

Artificial Intelligence Towards the Wireless Channel Modeling Communications in 5G , Saud Mobark Aldossari

Enhancement of 5G Network Performance Using Non-Orthogonal Multiple Access (NOMA) , Faeik Tayseer Al Rabee

Investigation of Machine Learning Algorithms for Intrusion Detection System in Cybersecurity , Mohmmed Alrowaily

Comprehensive Optimization Models for Voltage Regulation in PV-rich Multi-phase Distribution Systems , Ibrahim Alsaleh

Design and Implementation of Solid/Solid Phononic Crystal Structures in Lateral Extensional Thin-film Piezoelectric on Silicon Micromechanical Resonators , Abdulrahman Alsolami

Analysis of Computational Modeling Methods as Applied to Single-Crystal Organohalide Perovskites , Jon M. Bebeau

Development of a Monolithic Implantable Neural Interface from Cubic Silicon Carbide and Evaluation of Its MRI Compatibility , Mohammad Beygi

Performance Enhancement Techniques for Next-Generation Multi-Service Communication and Medical Cyber-Physical Systems , Ali Fatih Demir

Microfluidically Reconfigurable Millimeter-Wave Switches, Antenna Arrays and Filters with Fast-Actuation Using Movable Metallized Plates and Integrated Actuation , Enrique J. Gonzalez Carvajal

Multilayered Transmission Lines, Antennas and Phased Arrays with Structurally Integrated Control Electronics Using Additive Manufacturing , Merve Kacar

Cost Efficient Algorithms and Methods for Spectral Efficiency in Future Radio Access , Murat Karabacak

Design of DeLRo Autonomous Delivery Robot and AI Based Localization , Tolga Karakurt

Theory, Fabrication, and Characterization of Perovskite Phototransistor , Fatemeh Khorramshahi

Modeling and Control of Renewable Energy in Grids and Microgrids , Yin Li

Next-Generation Self-Organizing Communications Networks: Synergistic Application of Machine Learning and User-Centric Technologies , Chetana V. Murudkar

Reliability Analysis of Power Grids and its Interdependent Infrastructures: An Interaction Graph-based Approach , Upama Nakarmi

Algorithms Enabling Communications in the Presence of Adjacent Channel Interference , Berker Peköz

Electrospun Nanofibrous Membrane Based Glucose Sensor with Integration of Potentiostat Circuit , Kavyashree Puttananjegowda

Service Provisioning and Security Design in Software Defined Networks , Mohamed Rahouti

Reading and Programming Spintronic Devices for Biomimetic Applications and Fault-tolerant Memory Design , Kawsher Ahmed Roxy

Implementation of SR Flip-Flop Based PUF on FPGA for Hardware Security , Sai Praneeth Sagi

Trauma Detection Personal Locator Beacon System , Sakshi Sharma

Network Function Virtualization In Fog Networks , Nazli Siasi

Socially Aware Network User Mobility Analysis and Novel Approaches on Aerial Mobile Wireless Network Deployment , Ismail Uluturk

Spatial Stereo Sound Source Localization Optimization and CNN Based Source Feature Recognition , Cong Xu

Hybrid RF Acoustic Resonators and Arrays with Integrated Capacitive and Piezoelectric Transducers , Adnan Zaman

Theses/Dissertations from 2019 2019

Fabrication and Characterization of Electrical Energy Storage and Harvesting Energy Devices Using Gel Electrolytes , Belqasem Aljafari

Phasor Measurement Unit Data-Based Steady State and Dynamic Model Estimation , Anas Almunif

Cross Layer-based Intrusion Detection System Using Machine Learning for MANETs , Amar Amouri

Power Conditioning System on a Micro-Grid System , Tamoghna Banerjee

Thermal Response in a Field Oriented Controlled Three-phase Induction Motor , Niyem Mawenbe Bawana

Design and Development of a Wireless EEG System Integrated into a Football Helmet , Akshay V. Dunakhe

Machine Learning, Game Theory Algorithms, and Medium Access Protocols for 5G and Internet-of-Thing (IoT) Networks , Mohamed Elkourdi

Improving Stability by Enhancing Critical Fault Clearing Time , Ammara M. Ghani

RF Power Circuit Designs for Wi-Fi Applications , Krishna Manasa Gollapudi

Enhancing Secrecy and Capacity of Wireless Systems Using Directive Communications , Mohammed A. Hafez

Statistical Anomaly Detection and Mitigation of Cyber Attacks for Intelligent Transportation Systems , Ammar Haydari

Absorber and Window Study – CdSexTe1-x/CdTe Thin Film Solar Cells , Chih-An Hsu

Methods and Algorithms to Enhance the Security, Increase the Throughput, and Decrease the Synchronization Delay in 5G Networks , Asim Mazin

Piezoelectric ZnO Nanowires as a Tunable Interface Material for Opto-Electronic Applications , Anand Kumar Santhanakrishna

Security Framework for the Internet of Things Leveraging Network Telescopes and Machine Learning , Farooq Israr Ahmed Shaikh

Diversity and Network Coded 5G Wireless Network Infrastructure for Ultra-Reliable Communications , Nabeel Ibrahim Sulieman

The Design of Passive Networks with Full-Wave Component Models , Eric Valentino

CubeSat Constellation Design for Intersatellite Linking , Michael T. White

Theses/Dissertations from 2018 2018

Design of Micro-Scale Energy Harvesting Systems for Low Power Applications Using Enhanced Power Management System , Majdi M. Ababneh

A Study on the Adaptability of Immune System Principles to Wireless Sensor Network and IoT Security , Vishwa Alaparthy

Validation of Results of Smart Grid Protection through Self-Healing , Felipe Framil Assumpção

A Novel Framework to Determine Physiological Signals From Blood Flow Dynamics , Prashanth Chetlur Adithya

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Volume II: Challenges and Research Trends of Electrical Engineering and Power Electronics

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A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section " F: Electrical Engineering ".

Deadline for manuscript submissions: closed (2 January 2023) | Viewed by 15712

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Dear Colleagues, 

The special issue "Volume II: Challenges and Research Trends of Electrical Engineering and Power Electronics" will be devoted to current challenges in power generation and distribution.

With the growing role of information and communication technologies, electromobility and the struggle for an ever decreasing environmental impact of civilisation, the need to optimise energy generation and distribution processes and to meet challenges such as distributed generation and rapid changes in demand arises. These requirements generate the need for special research in the direction of automation of management of the widely understood power system. The special issue is intended to address these requirements. The main, but not the only, focus will be on applications of advanced signal and data processing (computer simulation, surrogate models, machine learning, artificial intelligence and computer science in general) to meet today's challenges of clean, high quality energy. I especially invite papers related to automatic diagnostics in power generation and conversion, special applications of electricity, optimal energy storage, distributed generation, smart grids, renewable and small sources (including small hydro, biomass, biogas, solar, wind and geothermal power) and their integration into the power system, energy harvesting and power quality.

Prof. Dr. Jacek Starzynski Dr. Bogdan Dziadak Dr. Adam Jóśko Guest Editors

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website . Once you are registered, click here to go to the submission form . Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• energy quality
• smart grids
• smart sensors
• machine learning for automated control and diagnostics
• renewable sources

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