Vladimir Cherkassky is affiliated with the University of Minnesota in the United States and has a research profile spanning several interconnected fields, chiefly computer science and materials science. Their work bridges theoretical and applied aspects of artificial intelligence and materials chemistry, with contributions in cognitive neuroscience, signal processing, and cardiovascular medicine as well.
Their research topics cover a variety of areas, including EEG and brain-computer interfaces, blind source separation techniques, ECG monitoring and analysis, advanced chemical sensor technologies, currency recognition and detection, machine learning applications in materials science, and X-ray diffraction in crystallography. This multidisciplinary focus underscores a broad approach to both computational and experimental methodologies.
Recent publications authored or co-authored by Vladimir Cherkassky include:
Frequent co-authors collaborating with Cherkassky include Eng Hock Lee, Hsiang-Han Chen, Han-Tai Shiao, Tony Low, and Wei Jiang. These collaborations have contributed to several papers, often focusing on machine learning, neuroscience, and materials science topics.
Their work appears primarily in journals such as Neural Networks, Brain Sciences, Physical Review Materials, and preprint repositories like arXiv (Cornell University) and Preprints.org. Neural Networks is among the venues with more than one publication, reflecting a recurring engagement with this journal.
Cherkassky's main fields of study incorporate:
Key subfields in their research involve:
This profile highlights a scholar working at the intersection of computational theories and practical applications in neuroscience and materials science, with a consistent output in high-impact interdisciplinary venues.
Vladimir Cherkassky;Yunqian Ma
Vladimir Cherkassky;Filip M. Mulier
Tao Xiong;V. Cherkassky
Vladimir S Cherkassky;Filip Mulier
V. Cherkassky
Stephen LaConte;Stephen C. Strother;Vladimir Cherkassky;Jon R. Anderson
V. Cherkassky;D. Gehring;F. Mulier
V. Cherkassky;Xuhui Shao;F.M. Mulier;V.N. Vapnik
Filip Mulier;Vladimir Cherkassky
Vladimir Cherkassky;Yunqian Ma
Vladimir Cherkassky;Jerome H. Friedman;Harry Wechsler
Han-Tai Shiao;Vladimir Cherkassky;Jieun Lee;Brandon Veber
Vladimir Cherkassky;Hossein Lari-Najafi
Unknown
Vladimir Cherkassky;Yunqian Ma
Shi Zhong;V. Cherkassky
Vladimir Cherkassky;Jerome H. Friedman;Harry Wechsler
D.N. Zhou;V. Cherkassky;T.R. Baldwin;D.E. Olson
V. Cherkassky;V. Krasnopolsky;D. P. Solomatine;J. Valdes
Vladimir Cherkassky
Feng Cai;V. Cherkassky
Vladimir Cherkassky;Filip M. Mulier
If you think any of the details on this page are incorrect, let us know.
Exploring a future in Computer Science opens up various online academic and career options. For those seeking a quick entry into the tech field, an associate's degree can build fundamental skills and open doors to entry-level jobs. This is ideal for students wanting flexibility and an affordable start.
Ambitious professionals may also consider advanced leadership roles. An edd in educational leadership can prepare educators and administrators to guide technology integration and innovation within schools or organizations.
With the growth of remote learning, it's essential to ensure your chosen program comes from one of the online degrees accredited schools for recognized credentials and job market value.
If you're interested in the creative side of computing, you might pursue one of the game design online degree programs. These degrees combine technical and artistic skills, leading to careers in gaming, animation, or interactive media.
Uppsala University
Duke University
Nihon University
Sapienza University of Rome
University of Eastern Finland
Florida State University
Hebrew University of Jerusalem
Michigan State University
University of California, San Diego
University of Chicago
Stanford University
Universitat Politècnica de València
Carnegie Mellon University
Linköping University
Catholic University of America
The University of Texas at Austin
