Mitwirkende in den letzten 7 Tagen

Ben Barrowes

Ben Barrowes received the Ph.D. degree in 2004 from the Massachusetts Institute of Technology, Cambridge, MA. He was named top high school math student in the state of Utah (1991), was awarded an NSF graduate fellowship (1999), was a Director's funded Postdoc at Los Alamos National Laboratory (2004), and was named Innovator of the Year for the Army Corps of Engineers (2019). Currently, he is a physicist with the US Army ERDC Cold Regions Research and Engineering Laboratory and is the author or coauthor of over 150 scientific publications. His research interests center on electromagnetic wave theory and modeling with applications including electromagnetic induction methods for detecting and classifying subsurface UneXploded Ordnance (UXO), Improvised Explosive Devices (IEDs), novel fusion energy generation, and the intersection between modern technology and political science.

S. Zhao

Joshua Dantuo

M.Eng Electrical Engineerinf from Universiti Tun Hussein Onn Malaysia Bsc Electrical and Electronics Engineering from University of Energy and Natural Resources (Ghana)

Mahmoud Diab

S. P. Vasekar (Geca Adj. Prof.)

Ahmed AL-Yousif

John Proakis

MathWorks Radar Toolbox Team

QuickerSim

Nitin Phadkule

B.E. (Electrical), M.E.(Instrumentation), M.E.(Electrical Power Systems) Ph. D.(Electrical Engineering), PG Cirtificate in Machine Learning and Application, Asso. Professor Department of Electrical Engineering, Govt. College of Engineering, Aurangabad-431001, M.S. India

Jerome Antoni

Enrico Bertolazzi

Associate Professor in Numerical Analisys https://e.bertolazzi.dii.unitn.it Professional Interests: Numerical Analysis, Optimal Control

jingwei wu

Isaac

Hugh Harvey

Osama Arafa

Mo Chen

Machine Learning researcher specialized in Bayesian inference and Deep Learning

Neeraj Yadav

Nguyen Khanh Tran

Putu Fadya

I Putu Fadya Rachmawan, BASc in Instrumentation and Control Engineering @UGM and SFMBA Student @MIT Sloan | I specialize in Control Systems, Mechatronics, with expertise in Computation and Simulation, Machine Learning, and Computer Vision. My work focuses on developing innovative solutions combining technical precision with real-world applications.

Mohammad Tayyeb Sheikh

Suman Shah

B.E. Electrical Engineering Student (TU)

Yue Huang

Federico Giai Pron

Akshay Kumar

Alberto Gomez

Professional Interests: Medical Image Computing

Mohamed Aslam

Expert in power electronics and electric drives and renewable energy. Worked with several projects in both educational and industrial domain. Some works are solar water pump, ev charger, PMSM sensorless control, BLDC drive, MPPT etc.

MikeCF

kalagotla chenchireddy

Mouhamed Niasse

Engineer: EEE EME Languages: French, English Country: Senegal Interest: Power systems

Dr. T Vijay Muni

Faculty Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation

L. Ortiz

Tucker McClure

I make tools for fast and robust state estimation and consult with aerospace companies about guidance, navigation, control, simulation, and optimization with An Uncommon Lab (anuncommonlab.com).

Nikhilesh

Electrical engineering student | Robotics Enthusiast | MATLAB | SIMULINK | ELECTRICAL SYSTEMS

Ali Asghar Heidari

Ali Asghar Heidari has been an Exceptionally Talented Researcher with the School of Computing, National University of Singapore (NUS), and University of Tehran. He is also an Elite Researcher of Iran National Elites Foundation (INEF). He ranked among the worlds top 2% scientists list of Stanford University and top scientists for Computer science prepared by Guide2Research as an outstanding researcher. He has authored more than 200 research articles with over 20000 citations and H-index of 72 in prestigious international journals.

SASA Poussin

Simona Brigati

mainu

Ayad Al-Rumaithi

MS in Structural Engineering from the University of Central Florida. Check the following website to find relevant codes for your work: https://sites.google.com/view/ayad-al-rumaithi

Prof. Dr. Essam H Houssein

Prof. Dr. Essam H. Houssein received his PhD degree in Computer Science (AI). He is a professor at the Faculty of Computers and Information, Minia University, Egypt. He is the founder and chair of the Artificial Intelligence Research Group (AIR) in Egypt. He has more than 200 scientific research papers published in prestigious international journals in the topics for instance meta-heuristics optimization, artificial intelligence, image processing, IoT and its applications. Essam H. Houssein serves as a reviewer of more than 100 journals (Elsevier, Springer, IEEE, etc.). His research interests include WSNs, IoT, AI, Bioinformatics and Biomedical, Image processing, Data mining, and Meta-heuristics Optimization techniques.

Turki

Dr. Jignesh Desai

Associate Professor

Laith Abualigah

Bahman Ahmadi

priya nandhu

Venkatesh Yadav

Qianqian Fang

Biomedical optics, computational imaging methods, Monte Carlo simulations, parallel computing

LAAZIZ

Ander Biguri

EEE working on X-ray tomography, and using MATLAB for it. Check TIGRE toolbox!

Martin Koch

Dr M V Chilukuri

He conducts research and consultancy in Power Quality, Condition Monitoring, Time-Frequency Analysis, Smart Grid, Data Centre Energy Efficiency, and Green ICT. He has published over 50 papers and presentations at International Conferences and Journals. Currently, he is a technical member of BIS working groups ETD01 and ETD20. He has been a senior member of IEEE PES, IAS, PELS, and DIS for the last 20 years and a Member of CIGRE India and NFE CWC, Chennai.

Dharmendra kumar

Pekka Kumpulainen

Piero Malcovati

Giorgio

My primary research interests are in the area of pattern recognition and machine learning. Within these areas, my work focuses on developing novel strategies to formalize, explain and visualize the pattern in data. My work encompasses different case studies. I worked on many aspects of feature selection in machine learning introducing the concept of graph-based feature selection. Such a framework is prone to parallelization making this family of algorithms highly scalable (i.e., suitable for Big Data analysis). Another important aspect I dealt with is the real-time factor of such techniques. This framework turns out to be also suitable for visual object tracking, demonstrating to improve tracking performance while maintaining high frame rates. Finally, I have also worked on soft-biometrics by taking into account user-centric aspects, such as personality.

ANIKET KANSARA

Dingyu Xue

Professor, Control Engineering Faculty of Information Science and Engineering Professional Interests: control theory, simulation, MATLAB in education

Kyaw Myo Lin

Research Associate Professor Power System Research Unit Department of Electrical Power Engineering Mandalay Technological University Mandalay, Myanmar

George Papazafeiropoulos

Civil & Infrastructure Engineer, M.Sc., Ph.D.

Sven

Aussie living in the US. Engineering with MATLAB. Some Interests: -3D Volume Processing (CT, mri) -Finite Element Analysis (human body simulation) -Geometry Analysis (human body morphomics) Professional Interests: Image processing, Finite Element Analysis, Human Body Biomechanics

Zaikun Zhang

http://www.zhangzk.net

J. Divahar

Home Page: http://www.jdivahar.com Some of my work: http://www.youtube.com/jdivahar Professional Interests: [Dynamics: Aerodynamics, Structural Dynamics, Flight Dynamics], [Computer Programming, Differential Geometry, CAD-Programming, Meshing, Scientific Visualization]

Markus Buehren

Professional Interests: signal processing

Cavuscens Marc

Mahmoud Saleh

My research involves microgrid control and design, microgrids clustering, intermittency of renewable-based MG, and integration of microgrids to electric power grids. Also, I investigate the feasibility of smart grid implementations. Moreover, I am involved in writing technical proposals.
Please contact me for collaboration and discussing my recent work regarding electric energy markets, cyber-attacks, and machine learning application in power systems.
https://www.linkedin.com/in/mahmoud-saleh/

Ilias Konsoulas

Professional Interests: Signal Processing, Digital Communications, Pattern Recognition, AVIONICS Systems, Radar Signal Processing, Space-Time Adaptive Processing (STAP), Synthetic Aperture Radar (SAR), Neuro-Fuzzy Networks, Machine Learning.

Federico Giai Pron

yoash levron

Homepage:
https://yoash-levron.net.technion.ac.il/

Energy Conversion
Power Systems: Estimation
Power Systems: Design and Control
Power Electronics
Analog Circuits

M PAUL PRASAD

M.E., M.I.E., with specialization of Power Systems from Osmania University. But working for the development of students at +2 stage for the past 23yrs on behalf of Govt. of Andhra Pradesh, Intermediate Education. Presented more TEN text books on learning and practcing ELECTRICAL TECHNOLOGY directly to the consumer.
Professional Interests: Non convensional energy systems, WECS

Computational Flow Physics Group

We develop advanced numerical simulation and data-driven analysis tools to understand, model, and predict turbulent and multiphysics flows in engineering and nature. Our work combines high-fidelity computation with modal decomposition and feature extraction to reveal coherent flow structures and translate them into predictive reduced-order models for forecasting and optimization. We focus on aerospace problems, including jet noise control, unsteady aerodynamics and aeroacoustics, transition, dynamic stall, aero-optics, and hypersonics. While our work is grounded in physics-based modeling, we also curiously explore where modern machine learning can complement first-principles simulation, statistical methods, and classical closure techniques. Beyond aerospace, our methods extend to complex geophysical flows, with applications in atmospheric science and physical oceanography.

AutoDRIVE Ecosystem

AutoDRIVE is envisioned to be an open, comprehensive, flexible and integrated ecosystem for enhancing autonomous driving research and education. Learn more: https://autodrive-ecosystem.github.io

Liu Jin

Ismael Abdulrahman

Ruan Jiayang

Dick Benson

François Beauducel

I started using Matlab in 1991 (v3.0). I propose generic or dedicated functions always vectorized, toolbox-free, release-compatible, Octave-compatible and fully documented. My professional Interests: geophysics, volcanology, seismology, modelling, signal processing, ground deformation, mapping, graphics.

Kirk Roffi

Leffer

Adam Auton

Cory Prust

Diego Barragán

Ph.D. student in Electrical Engineering.

Professional Interests: VHDL, Signal Processing, Wireless communication.

Abd Al-Rhman Reda

Daniel Codiga

Brian Neiswander

All comments and opinions expressed here are mine alone and do not necessarily reflect those of my employers, past or present.

Mingyang

le

Leo Chen

Leo's Google Scholar Citations http://scholar.google.com/citations?hl=en&user=AxmpG84AAAAJ Professional Interests: Dynamics & Control, Computational Intelligence & Applications

Malik Braik

Eric Hillsberg

Ikaro Silva

I am one the developers for the WFDB Toolbox for MATLAB and Octave. This toolbox gives users direct access to over 50 databases (over 3 TB of physiologic signals including ECG, EEG, EMG, fetal ECG, PLETH, ABP, and more). Most of these databases are also accompanied by meta-data such as expert annotations of physiologically relevant events. These can include, for example, cardiologist annotations on ECGs for classifying different arrythmias, or sleep expert annoations on EEG for segmenting different sleep stages. The project is open-source and web page is located at: http://physionet.org/physiotools/matlab/wfdb-app-matlab/
Professional Interests: Statistical & Adaptive Signal Processing, Biosignal Processing, Detection & Estimation, Analysis of Evoked Responses, Pattern Classification

Rodayna Lotfi

Fresh Graduate and Teaching Assistant at Arab Academy for Science and Technology and Maritime Transport.

Mick H

Jin Yang

Assistant professor at the UT-Austin Aerospace Engineering and Engineering Mechanics department. Previously: Postdoc at the University of Wisconsin-Madison; Ph.D., Caltech, 2019; B.En., Tsinghua University, 2013.

Landon Hoo

My field of interest are mainly on electrical machines, power systems, power electronics, renewable energy, industrial automation and embedded systems.

Fred Liu

Application Engineer Terasoft in Taiwan

Wei Jiang

bastibe

Arunachalam Sundaram

Dr. Arunachalam Sundaram is a faculty member at the School of Science, Engineering, and Environment at the University of Salford. He earned his B.E. in Electrical and Electronics Engineering from Annamalai University, an M.E. in Power Systems Engineering (Gold Medalist), and a Ph.D. in Electrical Engineering from Anna University. He also completed a postgraduate artificial intelligence and machine learning program at the University of Texas at Austin.

Praviraj PG

Professional Interests: Transformer Design Optimization, Finite Element Analysis (FEA), Power-flow Analysis & State Estimation, Matlab & Simulink

Ricardo Palma