Eran Steinberg is affiliated with Johns Hopkins University in the United States, with research focused primarily in the fields of Neuroscience and Engineering. Their work encompasses diverse areas such as Cognitive Neuroscience, Cellular and Molecular Neuroscience, and Biomedical Engineering.
The scientist's research topics include EEG and Brain-Computer Interfaces, Neuroscience and Neural Engineering, and studies involving muscle activation and electromyography. This multidisciplinary approach integrates physiological signals with engineering techniques to advance understanding of neural function and interaction with technology.
Among their recent publications, Steinberg contributed to a paper titled "Hybrid Brain-Machine Interface: Integrating EEG and EMG for Reduced Physical Demand", published in 2025 through arXiv (Cornell University). This work explores the combination of electroencephalography (EEG) and electromyography (EMG) signals to create brain-machine interfaces that lower physical strain during use.
Steinberg frequently collaborates with a set of co-authors including:
Steinberg's publication records show a tendency to publish in venues such as arXiv (Cornell University), reflecting engagement with platforms for disseminating preliminary research findings in neuroscience and engineering domains.
Eran Steinberg;Hari Vasudev
Gabriel Costache;Peter Corcoran;Rhys Mulryan;Eran Steinberg
Stefan Petrescu;Peter Corcoran;Eran Steinberg;Petronel Bigioi
Eran Steinberg;Petronel Bigioi;Adrian Zamfir;Alexandru Drimbarean
Eran Steinberg;Yury Prilutsky;Peter Corcoran;Petronel Bigioi
Eran Steinberg;Petronel Bigioi;Ilariu Raducan
Peter Corcoran;Igor Barcovschi;Eran Steinberg;Yury Prilutsky
Peter Corcoran;Eran Steinberg;Petronel Bigioi;Alexandru Drimbarean
Eran Steinberg;Yury Prilutsky;Scott Neil Rafer
Eran Steinberg;Yury Prilutsky;Peter Corcoran;Petronel Bigioi
Eran Steinberg;Yury Prilutsky;Peter Corcoran;Petronel Bigioi
Eran Steinberg
Eran Steinberg;Peter Corcoran;Yury Prilutsky;Petronel Bigioi
Eran Steinberg;Yury Prilutsky;Peter Corcoran;Petronel Bigioi
Eran Steinberg
Eran Steinberg;Peter Corcoran;Yury Prilutsky;Petronel Bigioi
Eran Steinberg;Hari Vasudev;Sumat Mehra
Eran Steinberg;Peter Corcoran
Eran Steinberg;Yury Prilutsky;Peter Corcoran;Adrian Zamfir
Eran Steinberg;Yury Prilutsky;Peter Corcoran;Petronel Bigioi
If you think any of the details on this page are incorrect, let us know.
Exploring online study options in Computer Science opens up a flexible path for diverse learners. For those starting their journey, earning an associate's degree online can be a quick way to enter the tech workforce or build a foundation for further study.
If you’re concerned about tuition costs, many leading institutions offer affordable online courses that can help you save money while gaining valuable technical skills. These options are especially helpful if you need to balance work and study.
To advance your career, pursuing one of the most useful masters degrees in demand can boost your job prospects and open doors to roles in AI, cybersecurity, or data science.
Worried about your undergraduate performance? You may still have options. There are best online colleges that accept low gpa, ensuring that more students have access to quality programs, no matter their academic history.