Work with thought leaders and academic experts in electrical electronic engineering

Companies can greatly benefit from collaborating with academic researchers in the field of Electrical and Electronic Engineering. These experts can provide innovative solutions, conduct cutting-edge research, offer technical consulting, develop new products, and enhance existing technologies. They can also help optimize processes, improve efficiency, and ensure compliance with industry standards. With their deep knowledge and expertise, Electrical and Electronic Engineering researchers can contribute to advancements in renewable energy, telecommunications, automation, robotics, and more. By partnering with these experts, companies can gain a competitive edge, stay ahead of technological trends, and drive innovation in their respective industries.

Researchers on NotedSource with backgrounds in electrical electronic engineering include Dr. Fantai Kong, Ph.D., Vladislav Zakharov, PhD, Fatemeh Nematollahi, Xiaolei Wang, Daniel Milej, Ph.D., Stephen Horowitz, IQRAM HUSSAIN, Ph.D., Milad Karimi, Siddharth Maddali, Aruna Ranaweera, Edoardo Airoldi, Tim Osswald, Michael Hickner, Katie Barr, and Dr. Swati Deswal, Ph.D..

Fatemeh Nematollahi

Los Angeles, California, United States of America
AI Research Scientist with Ph.D in Physics
Research Expertise (5)
Condensed Matter Physics
Electronic, Optical and Magnetic Materials
Biotechnology
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering
About
Fatemeh Nematollahi is a highly accomplished physicist with a strong educational background and extensive experience in the field. She received her Ph.D. in Physics from Georgia State University (GSU) in 2019, where she specialized in the study of solids in ultrafast laser pulse. During her postdoctoral at GSU, she continued to study the interaction of solids in an external ultrafast pulse. After that, she joined the Radiation Oncology Department at the University of California San Diego (UCSD) as a postdoctoral. She applied deep learning to predict a dose for breast cancer treatment. In addition to her academic work, Fatemeh has also gained valuable industry experience as a Research Scientist at Intellisense Systems, Inc, a company specializing in advanced sensing and communication technologies. Here, she worked in the AI and RF group to develop advanced systems. She has published numerous papers in prestigious scientific journals and has presented her work at international conferences. She is also a member of several professional organizations, including the American Physical Society and the American Association for the Advancement of Science. Fatemeh's passion for physics and her drive to push the boundaries of knowledge in the field make her a valuable asset to any research team. She is dedicated, hardworking, and always seeking new challenges and opportunities to expand her skills and knowledge.

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Stephen Horowitz

Bennington, Vermont, United States of America
PhD + 20 years experience, R&D/Engineering/Tech Executive in Sensors, MEMS, semiconductors
Research Expertise (7)
Acoustics and Ultrasonics
Electrical and Electronic Engineering
Surfaces, Coatings and Films
Instrumentation
Electronic, Optical and Magnetic Materials
And 2 more
About
I have over 20 years of engineering and R&D experience in sensors and MEMS including physical modeling, transduction, design, optimization, fabrication, characterization/test, and algorithm development, as well as 10 years of technical management/executive experience in operations, product development, R&D, business development, marketing and technical sales. I have a track record of success in taking early stage R&D concepts through to full products, and developing and growing businesses based on those products. I hold a PhD in Electrical Engineering from the University of Florida, where I focused on sensor and instrumentation development, leading to 20 years of academic/industry experience in research, modeling, optimization, microfabrication, and testing of scientific instruments that requires in-depth knowledge of multidisciplinary physical systems (mechanical, electrical, acoustic, fluidic, thermal, and optical). I am well versed in MATLAB and LabVIEW, as well as first-principles development of lumped element modeling (LEM) for physical systems of all kinds. As the former CEO of an innovation-driven startup, my most important roles were defining the long-term vision and strategy, and building the teams and the people to make it all happen.

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IQRAM HUSSAIN, Ph.D.

New York City, New York, United States of America
Weill Cornell Medicine, Cornell University, NY, USA
Research Expertise (33)
Biomedical & Medical Physics
AI (Machine & Deep Learning)
Anesthesiology
Sleep Medicine
Human Gait & brain
And 28 more
About
Iqram Hussain works at the Department of Anesthesiology, Weill Cornell Medicine, Cornell University, NY, USA. Earlier, he was a postdoctoral researcher at the Medical Research Center, Department of Biomedical Engineering, Seoul National University. He pursued a Ph.D. degree in Medical Physics from the University of Science and Technology (UST), South Korea. He worked as a Research Associate with the Korea Research Institute of Standards and Science (KRISS), Daejeon, South Korea. He worked on the Knowledgebase Super Brain (KSB) project at the Electronics and Telecommunication Research Institute (ETRI), Daejeon. He received a B.Sc. degree in mechanical engineering from the Khulna University of Engineering & Technology, Bangladesh, in 2007. He has ten years of work experience in power plant operation and maintenance and power plant project management. His research interests include wearable sleep monitoring, neuroscience, medical physics, human factors, and ergonomics. He has experience in healthcare research, project management, power plant operation, and maintenance. He is a reviewer in IEEE Access, Sensors, Applied Sciences, Biomedical Signal Processing and Control, IEEE Transactions, Science of the Total Environment, Neuroscience Informatics, Brain Sciences, etc. He is a guest editor in special issues of several Journals. Website: https://sites.google.com/view/iqram/home

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Example electrical electronic engineering projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on electrical electronic engineering?

Development of Energy-Efficient Power Systems

An Electrical and Electronic Engineering researcher can collaborate with a company to develop energy-efficient power systems. By optimizing power generation, transmission, and distribution, the researcher can help the company reduce energy consumption, lower costs, and minimize environmental impact.

Design and Implementation of IoT Solutions

Companies can benefit from working with an Electrical and Electronic Engineering researcher to design and implement Internet of Things (IoT) solutions. The researcher can develop sensor networks, connectivity protocols, and data analytics algorithms to enable smart and connected devices, improving operational efficiency and enabling new business models.

Enhancement of Wireless Communication Systems

Collaborating with an Electrical and Electronic Engineering researcher can help companies enhance their wireless communication systems. The researcher can contribute to the development of advanced modulation techniques, signal processing algorithms, and network optimization strategies, leading to improved coverage, higher data rates, and better reliability.

Integration of Renewable Energy Sources

An academic researcher in Electrical and Electronic Engineering can assist companies in integrating renewable energy sources into their power systems. By analyzing the feasibility, designing efficient interfaces, and implementing control strategies, the researcher can help companies transition to sustainable energy solutions and reduce their carbon footprint.

Optimization of Industrial Automation Processes

Companies can collaborate with Electrical and Electronic Engineering researchers to optimize their industrial automation processes. The researchers can apply advanced control algorithms, machine learning techniques, and real-time monitoring systems to improve productivity, quality, and safety in manufacturing and production environments.