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Datos Personales
Nombre:
Chernykh Andrey
Categoría:
INVESTIGADOR TITULAR
SNI:
INVESTIGADOR III
Departamento:
DEPARTAMENTO DE CIENCIAS DE LA COMPUTACIÓN
División:
DIVISIÓN DE FÍSICA APLICADA
Correo:
chernykh@cicese.mx
Extensión:
23426
Proyectos
Redes Neuronales con Preservación de la Privacidad mediante Encriptación Homomórfica
Laboratorios
Cómputo paralelo y en la nube
Hay 125 publicaciones.

Año

Autores / Publicación

2021

Pulido Gaytan, L. B., Chernykh, A., Cortés Mendoza, J. M., Babenko, M., Radchenko, G., Avetisyan, A., & Drozdov, A. Y. (2021). Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities. Peer-to-Peer Networking and Applications, 14(1), 1666-1691. doi: 10.1007/s12083-021-01076-8. (ID: 27463)

2021

Winter, H., Serra, J., Nesmachnow , S., Chernykh, A., & Shepelev , V. (2021). Computational intelligence for analysis of traffic data. In Nesmachnow S., Hernández Callejo L. (Eds.), Smart Cities. Book series: Communications in Computer and Information Science (CCIS vol 1359) (pp. 167-182). Springer. (ID: 30287)

2021

Nesmachnow , S., Castro Barrera, H. E., & Chernykh, A. (2021). In Sergio Nesmachnow, Harold Castro, Andrei Tchernykh (Eds.), High Performance Computing (pp. 924). Springer. (ID: 30294)

2021

Pulido Gaytan, L. B., Chernykh, A., Cortés Mendoza, J. M., Babenko, M., & Radchenko, G. (2021). A Survey on Privacy-Preserving Machine Learning with Fully Homomorphic Encryption. In Nesmachnow S., Castro H., Tchernykh A (Eds.), High Performance Computing. Book series: Communications in Computer and Information Science (CCIS vol 1327) (pp. 115-129). Springer. (ID: 30286)

2021

Chernykh, A., Bychkov, I., Feoktistov, A., Gorsky, S., Sidorov, I., Kostromin, R., Edelev, A., Zorkalzev, V., & Avetisyan, A. (2021). Mitigating Uncertainty in Developing Scientific Applications in Integrated Environment. Proceedings of the Institute for System Programming of the RAS, 33(1), 151-172. doi: 10.15514/ISPRAS-2021-33(1)-11. (ID: 27482)

2021

Alaasam, A., Radchenko, G., Chernykh, A., & González-Compeán, J. (2021). Stateful Stream Processing Containerized as Microservice to Support Digital Twins in Fog Computing. Proceedings of the Institute for System Programming of the RAS, 33(1), 65-80. doi: 10.15514/ISPRAS-2021-33(1)-5. (ID: 27484)

2021

Muraña, J., Nesmachnow , S., Iturriaga , S., Montes de Oca, S., Belcredi, G., Monzón, P., Shepelev , V., & Chernykh, A. (2021). Smart grid demand response strategies for datacenters. Proceedings of the Institute for System Programming of the RAS, 32(2), 125-136. doi: 10.15514/ISPRAS-2021-33(2)-7. (ID: 27483)

2020

Chernykh, A., Bychkov, I., Feoktistov, A., Gorsky, S., Sidorov, I., Kostromin, R., Edelev, A., Zorkalzev, V., & Avetisyan, A. (2020). Mitigating Uncertainty in Developing and Applying Scientific Applications in an Integrated Computing Environment. PROGRAMMING AND COMPUTER SOFTWARE, 46(7), 483-502. doi: 10.1134/S036176882008023X. (ID: 26587)

2020

Alaasam, A., Radchenko, G., Chernykh, A., & González-Compeán, J. (2020). Analytic Study of Containerizing Stateful Stream Processing as Microservice to Support Digital Twins in Fog Computing. PROGRAMMING AND COMPUTER SOFTWARE, 47(7), 511-525. doi: 10.1134/S0361768820080083. (ID: 26589)

2020

Muraña, J., Nesmachnow, S., Iturriaga, S., Montes de Oca, S., Belcredi, G., Monzón, P., Shepelev , V., & Chernykh, A. (2020). Negotiation Approach for the Participation of Datacenters and Supercomputing Facilities in Smart Electricity Markets. PROGRAMMING AND COMPUTER SOFTWARE, 46(7), 636-651. doi: 10.1134/S0361768820080150. (ID: 26588)

2020

Chavat , J., Nesmachnow, S., Chernykh, A., & Shepelev , V. (2020). Active Safety System for Urban Environments with Detecting Harmful Pedestrian Movement Patterns Using Computational Intelligence. Applied Sciences, 10(24), 9021. doi: 10.3390/app10249021. (ID: 26574)

2020

Cortés Mendoza, J. M., Chernykh, A., Babenko, M., Pulido Gaytan, L. B., Radchenko, G., Leprevost, F., Wang, X., & Avetisyan, A. (2020). Privacy-Preserving Logistic Regression as a Cloud Service based on Residue Number System. In Vladimir Voevodin, Sergey Sobolev (Eds.), Supercomputing. Book series: Communications in Computer and Information Science (CCIS vol. 1331) (pp. 598¿610). Springer. (ID: 30291)

2020

Miranda López, V., Chernykh, A., Babenko, M., Avetisyan, A., Toporkov, V., & Drozdov, A. Y. (2020). Two-Levels RRNS with Backpropagation for Increased Reliability and Privacy-Preserving of Secure Multi-Clouds Data Storage. IEEE Access, 8, 199424-199439. doi: 10.1109/ACCESS.2020.3032655. (ID: 26279)

2020

Babenko, M., deryabin, m., J. Piestrak, S., Patronik, P., Chervyakov, N., Chernykh, A., & Avetisyan, A. (2020). RNS Number Comparator Based on a Modified Diagonal Function. Electronics, 9(11), 1784. doi: 10.3390/electronics9111784. (ID: 26278)

2020

Chernykh, A., Babenko, M., Chervyakov, N., Miranda López, V., Avetisyan, A., Drozdov, A. Y., Rivera Rodríguez, R., Radchenko, G., & Du, Z. (2020). Scalable Data Storage Design for Nonstationary IoT Environment With Adaptive Security and Reliability. IEEE Internet of Things Journal, 7(10), 10171-10188. doi: 10.1109/JIOT.2020.2981276. (ID: 26280)