Contributors from the past 7 days

Process Research and Intelligent Systems Modeling (PRISM) is a world class collaborative research group for the application of innovative advanced process control and optimization techniques to be applied to:

Computational biology
Drilling automation
Enhanced recovery of oil and gas reserves
Flow assurance
Sustainable energy systems
Unmanned Aircraft Systems (UAS)

The group includes graduate and undergraduate students who are taking a lead role in the specific applications mentioned above. The PRISM group is also develops novel algorithms and techniques for large-scale and complex systems. These applications and techniques advance the area of Process Systems Engineering (PSE).
Professional Interests: Nonlinear optimization, Dynamic optimization, Estimation

Currently a Parsons Fellow: https://www.parsons.com/2023/02/premiering-today-12-new-parsons-fellows. A PhD Physicist with 25+ years of work experience in research and development (R&D). * Research & Development Oceanography, ocean general circulation, air-sea interaction, tropical cyclones, turbulence, ocean primary production, ocean optics, meteorology, atmospheric optical turbulence, atmospheric correction, atmospheric acoustics, remote sensing, synthetic aperture radar (SAR), radar polarimetry, space situational awareness (SSA), nuclear physics, group theory, modeling and simulation * Computer Languages: Bash, Csh, C/C++, Fortran 77 & 90, Java, Matlab, Python Operating Systems: Linux, Mac OS, Unix, Windows * Application Programming: development & implementation of physics-based algorithms, numerical analysis techniques, image & signal processing, advanced mathematical methods, software application development

Professional Interests: engineering, dynamics, signal processing, music

I am Mohamed Elbesealy, a teaching assistant at Electrical Engineering Department, Assiut University, Egypt. I had awarded my Master's degree in electrical engineering in 2015.

PhD in robotics Mechatronics Engineer

Professional Interests: Geophysics, oceanography

B.E. (Electrical), M.E.(Instrumentation), M.E.(Electrical Power Systems) Ph. D.(Electrical Engineering) Asso. Professor Department of Electrical Engineering, Govt. College of Engineering, Aurangabad-431001, M.S. India

Ph. D. in EE at USC, 1986 CAU Professor at the dept. of EE since 1986 Professional Interests: Digital Signal Processing, Digital Communication, Electric/Electronic Circuits,

Professional Interests: statistics

Professional Interests: signal processing, oceanography, ocean engineering, sonar, autonomous underwater vehicles, underwater navigation

I work on developing machine learning algorithms for CONDITION MONITORING of systems, PREDICTIVE MAINTENANCE, and CYBERSECURITY.

Mohammad Khishe was born on 1985 in Nahavand, Iran. He received the B.Sc. degree in Maritime Electronic and Communication Engineering from Imam Khomeini Maritime Sciences University, Nowshahr, Iran in 2007 and also, M.Sc. and Ph. D. degrees in Electronic Engineering from Islamic Azad University, Qazvin branch and Iran University of Science and Technology, Tehran in 2012 and 2017, respectively. Since 2011, he is a faculty member of Maritime Electrical and Electronic Engineering at Imam Khomeini Maritime Sciences University, Nowshahr, Iran. His research interests are Digital Signal Processing, Artificial Neural Networks, Meta-heuristic Algorithms, Sonar and Radar Signal Processing, and FPGA design.

Application Engineer
Professional Interests: Signal Processing, Image Processing, Computer Vision, Deep Learning, Automated Driving, and Robotics

- M.Tech. (Automotive Electronics) - Coventry University - Work as a Data Scientist at KPIT/Birlasoft - Machine Learning using Python and MATLAB

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I love matlab, am a electronics engg.
Professional Interests: control system

I am a postdoctoral researcher in applied computational techniques

Professional Interests: Computer Vision, Image Processing

Professional Interests: Signal processing, biomedical analysis, statistical analysis

www.rami-khushaba.com Professional Interests: signal processing, feature extraction and reduction

medical ultrasound

Henk Mutsaerts is an assistant professor at the Amsterdam UMC in Amsterdam, The Netherlands. Henk is an MD and did his PhD in neuroradiology. His main research focus is to develop ASL perfusion MRI as an early biomarker for cognitive decline. He's a co-author of the ExploreASL pipeline for processing perfusion and structural MRI images and specializes at clinically and physiologically-informed image analysis, through which he works with several imaging groups.

Software innovation for the renewable energy sector.

A youtube channel dedicated to knowledge and skills relevant to electrical and renewable systems.

Assistant Lecturer at the Universidad de Málaga. Research topics: machine learning, surgical robotics, space robotics and robotic telescopes.

feel free to comment on the contributions.

Professional Interests: Mechanical Engineering