About me

I received my Bachelor’s degree in Computer Science from the Meritorious Autonomous University of Puebla (Benemérita Universidad Autónoma de Puebla, México) in 2008, the Master’s degree in 2011, and the Ph.D. degree in 2018, both from CICESE Research Center in Computer Science. I am a member of the Mexican National System of Researchers (SNI-I) since 2020. My research interests include cloud computing, load balancing, distributed computing, security, and scheduling.

Education

Ph.D. in Computer Science (ID 13271488).

Computer Science Department, CICESE Research Center.

January 2014 – June 2018, Ensenada, Baja California, Mexico.

Thesis: "Cost-Quality optimization of Cloud-based VoIP" (pdf).

Dissertation director: Prof. Andrei Tchernykh.

Master in Computer Science (ID 13271420).

Computer Science Department, CICESE Research Center.

September 2008 – March 2011, Ensenada, Baja California, Mexico.

Thesis: "Multi-objective Parallel Job Scheduling in Grids with GEO" (pdf). 

Dissertation director: Prof. Andrei Tchernykh.

Bachelor in Computer Science (ID 5780712).

Computer Science Faculty, Meritorious Autonomous University of Puebla (BUAP).

August 2002 – July 2008, Puebla, Puebla, Mexico.

Member

Mexican National System of Researchers (SNI-I), January 2020 – December 2024.

Professional experience

Postdoctoral researcher, October 2023 – Present.

Cloud Competency Centre, National College of Ireland (NCI).

Activities: Research on cloud computing, scheduling, load balancing, and homomorphic encryption.

Courses: Cloud Machine Learning.

     Visiting Assistant Professor (online), January 2024 – April 2024.

Computer Science Department, CICESE Research Center.

         Courses: Scheduling methods and algorithms.

Assistant professor, January 2023 - October 2023.

Department of Software Engineering, Polytechnic University of Amozoc (UPAM).

Courses: Digital systems, data structures, data mining, and computer architecture.

Assistant professor, May 2023 - August 2023.

Department of Computer Systems, Metropolitan Polytechnic University of Puebla (UPMP).

Courses: Virtualization techniques.

Postdoctoral researcher, September 2022 – December 2022.

Department of Informatics, University of Luxembourg (Unilu).

Activities: Research on evolutionary algorithms, image classification, filters, adversarial attacks, and convolutional neural networks.

     Visiting Assistant Professor (online), January 2022 – April 2022.

Computer Science Department, CICESE Research Center.

         Courses: Scheduling methods and algorithms.

Postdoctoral researcher, February 2020 – August 2022

School of Electronic Engineering and Computer Science, South Ural State University (SUSU).

Activities: Research on cloud computing, scheduling, load balancing, and homomorphic encryption.

Assistant professor, September 2018 – January 2020.

Software Engineering Department, Polytechnic University of Amozoc (UPAM).

Courses: Engineering economy, software quality, requirements engineering, web development, data structure, client-server programming, and AI.

Research assistant, May 2013 - December 2013.

Computer Science Department, CICESE Research Center.

Activities: Research on scheduling and load balancing on parallel and distributed systems, Grid computing, and Cloud computing.

Assistant professor, January 2012 - April 2013.

Software Engineering Department, Polytechnic University of Amozoc (UPAM).

Courses: Algorithms, DDB, numerical analysis, probability and statistics, programming techniques, numerical programming, and OS.

Application developer, May 2011 - July 2011.

PRETOSOFT, PEMEX exploration and production (PEP).

Activities: Developer of a graphical user interface for a compiler on C#, as part of an expert system to solve oil well problems.

Programmer (Social service), May 2007 - December 2007.

Dirección de Administración Escolar (DAE), BUAP.

Activities: Programmer, database administrator, network administrator, desktop helper, and staff member of BUAP admission process.

Research interests

1. Resource allocation, quality of service, and security in distributed systems, grids and clouds.

2. Energy-aware scheduling, resource contention, and energy consumption model.

3. Machine learning, and artificial intelligence.

4. Internet of things, fog and edge computing, and distributed storage.

5. Multi-objective optimization with heuristics and meta-heuristic.

Journals

1. M. Valueva, G. Valuev, M. Babenko, A. Tchernykh, and Jorge M. Cortes-Mendoza. Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System. Programming and Computer Software, vol. 48(8), 2022. IF 0.936, Q3. DOI: 10.1134/S0361768822080217. 

2. Andrei Tchernykh, Mikhail Babenko, Egor Shiriaev, Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Arutyun Avetisyan, Alexander Yu. Drozdov, and Viktor Kuchukov. An efficient method for comparing numbers and determining the sign of a number in RNS for even ranges. Computation 10(2):17, 2022. IF 0.873, Q2. DOI: 10.3390/computation10020017.

3. Rewer M. Canosa-Reyes, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Bernardo Pulido-Gaytan, Raúl Rivera-Rodriguez, Jose E. Lozano-Rizk, Eduardo R. Concepción-Morales, Harold Enrique Castro Barrera, Carlos J. Barrios-Hernandez, Favio Medrano-Jaimes, Arutyun Avetisyan, Mikhail Babenko, and Alexander Yu. Drozdov. Dynamic performance–Energy tradeoff consolidation with contention-aware resource provisioning in containerized clouds. PLoS ONE 17(1): e0261856, 2022. IF 1.349, Q1. DOI: 10.1371/journal.pone.0261856.

4. Mikhail Babenko, Anton Nazarov,  Andrei Tchernykh, Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, and Irina Vashchenko. Algorithm for constructing modular projections for correcting multiple errors based on a redundant residue number system using maximum likelihood decoding. Programming and Computer Software, vol. 47(8), 2021. IF 0.936, Q3. DOI: 10.1134/S0361768821080089.

5. Nikolay Vershkov, Mikhail Babenko, Andrei Tchernykh, Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Victor Kuchukov, and Natalia Kuchukova. Optimization of neural network training for image recognition based on trigonometric polynomial approximation. Programming and Computer Software, vol. 47(8), 2021. IF 0.936, Q3. DOI: 10.1134/S0361768821080272.

6. Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail Babenko, Gleb Radchenko, Arutyun Avetisyan, and Alexander Yu. Drozdov. Privacy-Preserving Neural Networks via Homomorphic Encryption: Challenges and Opportunities. Peer-to-Peer Networking and Applications: Special Issue on Advances in Privacy-Preserving Computing, Springer, 2020. IF 2.793, Q2. DOI: 10.1007/s12083-021-01076-8

7. Andrei Tchernykh, Mikhail Babenko, Nikolay Chervyakov, Vanessa Miranda-López, Viktor Kuchukov, Jorge M. Cortés-Mendoza, Maxim Deryabin, Nikolay Kucherov, Gleb Radchenko, and Arutyun Avetisyan. AC-RRNS: Anti-Collusion Secured Data Sharing Scheme for Cloud Storage. International Journal of Approximate Reasoning. Special Issue on Uncertainty in Cloud Computing: Concepts, Challenges, and Current Solutions. Elsevier, 2018. IF 2.845, Q2. DOI: 10.1016/j.ijar.2018.07.010.

8. Andrei Tchernykh, Jorge M. Cortés-Mendoza, Alexander Feoktistov, Igor Bychkov, Loic Didelot, Pascal Bouvry, Gleb Radchenko, and Kirill Borodulin. Configurable Cost-Quality Optimization of Cloud-based VoIP. Journal of Parallel and Distributed Computing, Special issue on "Advances in Parallel and Distributed Computing and Optimization". Elsevier, 2017. IF 1.930, Q2. DOI: 10.1016/j.jpdc.2018.07.001.

9. Nikolay Chervyakov, Mikhail Babenko, Andrei Tchernykh, Nikolay Kucherov, Vanessa Miranda-López, and Jorge M. Cortés-Mendoza. AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security. Future Generation Computer Systems. Special Issue on Resource Management for Big Data Platforms. Elsevier Science, 2017. IF 3.997, Q1. DOI: 10.1016/j.future.2017.09.061.

10. Fermin Armenta-Cano, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Ramin Yahyapour, Alexander Yu. Drozdov, Pascal Bouvry, D. Kliazovich, A. Avetisyan, and S. Nesmachnow. Min_c: Heterogeneous Concentration Policy for Power Aware Scheduling. ISSN 0361-7688, Programming and Computer Software, Vol. 43 (3), 2017. IF 0.39, Q4. DOI: 10.1134/S0361768817030021.

11. Jorge M. Cortés-Mendoza, Andrei Tchernykh, Fermin A. Armenta-Cano, Pascal Bouvry, Alexander Yu. Drozdov, and Loic Didelot. Biobjective VoIP Service Management in Cloud Infrastructure. Scientific Programming,  2016. IF 0.455, Q3. DOI: 10.1155/2016/5706790.

12. Jorge M. Cortés-Mendoza, Andrei Tchernykh, Ana-Maria Simionovici, Pascal Bouvry, Sergio Nesmachnow, Bernabe Dorronsoro and Loic Didelot. VoIP Service Model for Multi-objective Scheduling in Cloud Infrastructure. IJMHeur - International Journal of Metaheuristics. Inderscience, 2015. DOI: 10.1504/IJMHEUR.2015.074251.

Conferences

1. J.M. Cortés-Mendoza, A. Osman Topal, and F. Leprévost. Robust CAPTCHA using Adversarial Images created by an Evolutionary Algorithm (under submission).

2. J.M. Cortés-Mendoza, A. Tchernykh, M. Babenko, H. González-Vélez. Privacy-preserving logistic regression with homomorphic encryption and secure multiparty computation (under submission).

3. B. Pulido-Gaytan, A. Tchernykh, M. Babenko, H. González-Vélez, J. M. Cortés-Mendoza, and Arutyun Avetisyan. Enhancing Cloud Security through Efficient Polynomial Approximations for Homomorphic Evaluation of Neural Network Activation Functions.  SIoTEC 2021 - 5th Workshop on Secure IoT, Edge, and Cloud systems (SIoTEC), as part of CCGRID 2024. Philadelphia, USA. May 2024.

4. Ekaterina Bezuglova, Egor Shiryaev, Mikhail Babenko, Andrei Tchernykh, Bernardo Pulido-Gaytan, and Jorge M. Cortés-Mendoza. A survey on multi-cloud storage security: threats and countermeasures. AICTS 2021 - 2nd international workshop on advanced information and computation technologies and systems. Irkutsk, Russia. December 2021. DOI: 10.25743/ICT.2023.28.1.008. 

5. Andrei Tchernykh, Israel Rescalvo-Anastacio, Jorge M. Cortés-Mendoza, Bernardo Pulido-Gaytan, Alexander Hollay, Mikhail G. Babenko, Alexander Yu. Drozdov, and Sergio Nesmachnow.  Pointer Networks with Reinforcement Learning for Reliability and Performance Optimization of Secure Multi-Cloud Storage. ISPRAS OPEN 2021 - Ivannikov ISP RAS Open Conference. Moscow, Russia, December 2021.

6. Egor Shiryaev, Ekaterina Bezuglova, Mikhail Babenko, Andrei Tchernykh, Bernardo Pulido-Gaytan, and Jorge M. Cortés-Mendoza. Performance Impact of Error Correction Codes in RNS with Returning Methods and Base Extension. En&T 2021 - International conference “Engineering and Telecommunication”. Moscow/Dolgoprudny, Russia. November 2021. DOI: 10.1109/EnT50460.2021.9681756.

7. Jorge M. Cortés-Mendoza, Andrei Tchernykh, Mikhail Babenko, Bernardo Pulido-Gaytán, and Gleb Radchenko. Multi-Cloud Privacy-Preserving Logistic Regression. RuSCDays'21 - The Russian Supercomputing Days. Moscow, Russia. September 2021. DOI: 10.1007/978-3-030-92864-3_35.

8. Andrei Tchernykh, Mikhail Babenko, Bernardo Pulido-Gaytan, Egor Shiryaev, Elena Golimblevskaia, Arutyun Avetisyan, Nguyen Viet Hung, and Jorge M. Cortés-Mendoza. Cryptographic Primitives Optimization Based on the Concepts of the Residue Number System and Finite Ring Neural Network. OLA 2021 - The International Conference in Optimization and Learning. Catania, Sicilia, Italy. June 2021. DOI: 10.1007/978-3-030-85672-4_18.

9. Mikhail Babenko, Andrei Tchernykh, Luis Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Egor Shiryaev, Elena Golimblevskaia, Arutyun Avetisyan, and Sergio Nesmachnow. RRNS Base Extension Error-Correcting Code for Performance Optimization of Scalable Reliable Distributed Cloud Data Storage. PDCO 2021 - 11th IEEE Workshop Parallel / Distributed Computing and Optimization, as part of the IPDPS 2021. Portland, Oregon, USA. June 2021. DOI: 10.1109/IPDPSW52791.2021.00087.

10. Jorge M. Cortés-Mendoza, Gleb Radchenko, Andrei Tchernykh, Luis Bernardo Pulido-Gaytan, Mikhail Babenko, Arutyun Avetisyan, Pascal Bouvry, and Albert Zomaya. LR-GD-RNS: Enhanced Privacy-Preserving Logistic Regression Algorithms for Secure Deployment in Untrusted Environments. SIoTEC 2021 - 2nd Workshop on Secure IoT, Edge, and Cloud systems, as part of CCGRID 2021. Melbourne, Australia. May 2021. DOI: 10.1109/CCGrid51090.2021.00093.

11. Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Mikhail Babenko, Jorge M. Cortés-Mendoza, Gleb Radchenko, Arutyun Avetisyan, Alexander Yu. Drozdov. Privacy-Preserving Toward Fast and Accurate Polynomial Approximations for Practical Homomorphic Evaluation of Neural Network Activation Functions. SPCLOUD 2020 - International Workshop on Security, Privacy, and Performance of Cloud Computing, as part of HPCS 2020. Barcelona, Spain. March 2021 (accepted).

12. Andrei Tchernykh, Adrián Facio Medina, Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Gleb Radchenko, Mikhail Babenko, Igor Chernykh, Igor Kulikov, Sergio Nesmachnow, Raul Rivera-Rodriguez. Toward digital twins' workload allocation on clouds with low-cost microservices streaming interaction. ISPRAS OPEN 2020 - Ivannikov ISP RAS Open Conference, Moscow, Russia, December 2020. DOI:10.1109/ISPRAS51486.2020.00024.

13. Mikhail Babenko, Andrei Tchernykh, Bernardo Pulido-Gaytan, Elena Golimblevskaia, Jorge M. Cortés-Mendoza, Arutyun Avetisyan. Experimental Evaluation of Homomorphic Comparison Methods. ISPRAS OPEN 2020 - Ivannikov ISP RAS Open Conference, Moscow, Russia, December 2020. DOI:10.1109/ISPRAS51486.2020.00017.

14. Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail Babenko, Gleb Radchenko. A Survey on Security-Preserving of Machine Learning with Fully Homomorphic Encryption. CARLA 2020 - The Latin America High Performance Computing Conference. Cuenca, Ecuador. September 2020. DOI: 10.1007/978-3-030-68035-0_9.

15. Jorge M. Cortés-Mendoza, Andrei Tchernykh, Mikhail Babenko, Luis Bernardo Pulido-Gaytán, and Gleb Radchenko. Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System. RuSCDays'20 - The Russian Supercomputing Days. Moscow, Russia. September 2020. DOI:10.1007/978-3-030-64616-5_51

16. Rewer M. Canosa Reyes, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Eduardo Concepción Morales, Jose Lozano Rizk, Raul Rivera-Rodriguez, Favio Medrano Jaimes, Carlos Jaime Barrios Hernandez, Harold Enrique Castro Barrera. Priority allocation strategies for bi-objective optimization in container-based clouds. ISUM 2019 - Tenth International Supercomputing Conference in Mexico. Monterrey, Nuevo Leon, Mexico. March 2019.

17. Rewer Canosa, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Raul Rivera-Rodriguez, Jose Eleno Lozano Rizk, Arutyun Avetisyan, Zhihui Du, Gleb Radchenko, Eduardo Concepción Morales. Energy consumption and quality of service optimization in containerized cloud computing. ISPRAS OPEN 2018 - Ivannikov ISP RAS Open Conference. Moscow, Russia. November 2018. DOI: 10.1109/ISPRAS.2018.00014.

18. Andrei Tchernykh, Rewer Canosa, Jorge M. Cortés-Mendoza, Arutyun Avetisyan, and Raul Rivera-Rodriguez. Bi-objective strategies for resource optimization in containerized cloud computing. CARLA 2018 - Latin American Conference on High Performance Computing. Piedecuesta, Colombia. September 2018.

19. Jorge M. Cortés-Mendoza and Andrei Tchernykh. Cloud-Based Hosted VoIP. ISUM 2018 - Ninth International Supercomputing Conference in Mexico. Mérida, Yucatán, México. March 2018.

20. Andrei Tchernykh, Mikhail Babenko, Nikolay Chervyakov, Vanessa Miranda-López, Jorge M. Cortés-Mendoza, Zhihui Du, Philippe OA Navaux, and Arutyun Avetisyan. Analysis of Secured Distributed Cloud Data Storage Based on Multilevel RNS. ElConRus 2018 - IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering. St. Petersburg, Russia. January 2018. DOI: 10.1109/EIConRus.2018.8317112.

21. Jorge M. Cortés-Mendoza, Andrei Tchernykh, Gleb Radchenko, and Alexander Yu Drozdov. RoC Prediction for Bi-Objective Cost-QoS Optimization of Cloud VoIP Call Allocations. En&T 2017 - IV IEEE International conference Engineering & Telecommunications, MIPT, Moscow, Russia. November 2017. DOI: 10.1109/ICEnT.2017.32.

22. Vanessa Miranda-López, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail Babenko, Gleb Radchenko, Sergio Nesmachnow, and Zhihui Du. Experimental Analysis of Secret Sharing Schemes for Cloud Storage Based on RNS. CARLA 2017 - Latin American Conference on High Performance Computing. Buenos Aires, Argentina. September 2017. DOI: 10.1007/978-3-319-73353-1_26.

23. Andrei Tchernykh, Mikhail Babenko, Nikolay Chervyakov, Jorge M. Cortés-Mendoza, Nikolay Kucherov, Vanessa Miranda-López, Maxim Deryabin, Inna Dvoryaninova, and Gleb Radchenko. Towards Mitigating Uncertainty of Data Security Breaches and Collusion in Cloud Computing. UCC 2017 - 1st International Workshop on Uncertainty in Cloud Computing, in conjunction with 28th International Conference on Database and Expert Systems Applications (DEXA’17). Lyon, France. August 2017. DOI: 10.1109/DEXA.2017.44.

24. Jorge M. Cortés-Mendoza, Andrei Tchernykh, Alexander Feoktistov, Igor Bychkov, and Loic Didelot. Load-Aware Strategies for Cloud-based VoIP Optimization with VM Startup Prediction. PDCO 2017 - 7th IEEE Workshop Parallel / Distributed Computing and Optimization. Orlando, Florida, USA. May 2017. DOI: 10.1109/IPDPSW.2017.73.

25. A. Tchernykh, M. Babenko, N. Chervyakov, V. Miranda-López, Jorge M. Cortés-Mendoza, O. Dorofeeva, and Z. Du. Experimental Analysis of Secured Distributed Cloud Data Storage. ECBA 2017 - 23rd International Conference on “Engineering & Technology, Computer, Basic & Applied Sciences”, Shanghai, China. January 2017.

26. Jorge M. Cortés-Mendoza, Andrei Tchernykh, Alexander Yu. Drozdov, and Loic Didelot. Robust Cloud VoIP Scheduling under VMs Startup Time Delay Uncetainty. CloudAM 2016 - Fifth International Workshop on Clouds and (eScience) Applications Management. Shanghai, China. December 2016. DOI: 10.1145/2996890.3007865.

27. Jorge M. Cortés-Mendoza, Andrei Tchernykh, Alexander Yu. Drozdov, and Loic Didelot. Cloud based VoIP Service Optimization with VM Startup Time Delay. ISUM 2016 - Seventh International Supercomputing Conference in Mexico. Puebla, Puebla, México. April 2016.

28. Fermin A. Armenta-Cano, Andrei Tchernykh, Jorge M. Cortés-Mendoza, and Anastasia Drozdova. Energy Consumption Model for Scheduling Applications with Resource Contention. ISUM 2016 - Seventh International Supercomputing Conference in Mexico. Puebla, Puebla, México. April 2016.

29. Ana-Maria Simionovici, Alexandru Adrian Tantar, Pascal Bouvry, Andrei Tchernykh, Jorge M. Cortés-Mendoza, and Loic Didelot. VoIP Traffic Modelling using Gaussian Mixture Models, Gaussian Processes and Interactive Particle Algorithms. CCSNA’15 - Fourth IEEE International Workshop on Cloud Computing Systems, Networks, and Applications 2015. San Diego, CA, USA. December 2015. DOI: 10.1109/GLOCOMW.2015.7414113.

30. Jorge M. Cortés-Mendoza, Andrei Tchernykh, A. Yu. Drozdov, Pascal Bouvry, Ana-Maria Simionovici, and Arutyun Avetisyan. Distributed Adaptive VoIP Load Balancing in Hybrid Clouds. NC&SC’2015 - Network Computing and Supercomputing workshop. In conjunction with RuSCDays'15 - The Russian Supercomputing Days. Moscow, Russia. September 2015. Edited by: Vladimir Voevodin, Sergey Sobolev, CEUR-WS: Vol-1482, p. 676-686, 2015 ISSN: 16130073.

31. Fermin Armenta-Cano, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Ramin Yahyapour, A. Yu. Drozdov, Pascal Bouvry, Dzmitry Kliazovich, and Arutyun Avetisyan. Heterogeneous Job Consolidation for Power Aware Scheduling with Quality of Service. NC&SC’2015 - Network Computing & Supercomputing workshop. In conjunction with RuSCDays'15 - The Russian Supercomputing Days. Moscow, Russia. September 2015. Edited by: Vladimir Voevodin, Sergey Sobolev, CEUR-WS: Vol-1482, p. 687-697, 2015 ISSN: 16130073.

32. Andrei Tchernykh, Jorge M. Cortés-Mendoza, Johnatan Pecero, Pascal Bouvry, and Dzmitry Kliazovich. Adaptive Energy Efficient Distributed VoIP Load Balancing in Federated Cloud Infrastructure. Cloudnet 2014 - International conference on cloud networking. Luxembourg, Luxembourg. October 2014. DOI: 10.1109/CloudNet.2014.6968964.

33. Jorge M. Cortés-Mendoza, Andrei Tchernykh, Johnatan Pecero, Pascal Bouvry, and Laura Cruz-Reyes. Distributed VoIP Load Balancing in Cloud Computing. ISUM 2014 - Fifth International Supercomputing Conference in Mexico. Ensenada, Baja California, México. March 2014.

34. Jorge M. Cortés-Mendoza and Andrei Tchernykh. Generalized Extremal Optimization for parallel job scheduling in two levels hierarchical Grid systems. ISUM 2012 - Third International Supercomputing Conference in Mexico. Guanajuato, Guanajuato, México. March 2012.

Internships

Computer Science and Communications Research Unit, University of Luxembourg, Luxembourg.

Visiting Ph.D. Scholar, July 2015 - September 2015.

Activities: Research on cloud computing, scheduling, load balancing, and voice over IP (VoIP).

GWDG – Georg-August University, Göttingen, Germany.

Visiting Ph.D. Scholar, February 2015 - June 2015.

Activities: Research on cloud computing, scheduling, load balancing, and voice over IP (VoIP).

Program committee member

2024

PDP - 32 Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2024), March 20 - 22, Dublin, Ireland.

2023

ICCS-DE - V International Workshop on Information, Computation, and Control Systems for Distributed Environments, July 3 - 7, Irkutsk, Russia.

2022

ICSC-CITIES - V Ibero-American Congress of Smart Cities, November 28 - 30, Cuenca, Ecuador.

ICCS-DE - IV International Workshop on Information, Computation, and Control Systems for Distributed Environments, July 4 - 8, Irkutsk, Russia.

SIoTEC - III Workshop on Secure IoT, Edge and Cloud systems, May 16 - 19, Taormina, Messina, Italy.

2021

AICTS - II International Workshop on Advanced Information and Computation Technologies and Systems, December 6 - 10, Irkutsk, Russia.

ICSC-CITIES - IV Ibero-American Congress of Smart Cities, November 29 - December 1, Cancún, Mexico.

ICCS-DE - III International Workshop on Information, Computation, and Control Systems for Distributed Environments, July 5 - 9, Irkutsk, Russia.

2020

AICTS - I International Workshop on Advanced Information and Computation Technologies and Systems, December 7 - 10, Irkutsk, Russia.

Reviewer

Journals

2023: Programming and Computer Software (Q3, IF: 0.936), and Journal of Parallel and Distributed Computing (Q1, IF: 3.8).

2022: Sensors (Q1, IF: 3.576), Energies (Q1, IF: 3.004), Applied Sciences (Q2, IF: 2.679), Entropy (Q2, IF: 2.524), Programming and Computer Software (Q3, IF: 0.936), and Applied System Innovation.

Conferences

2024: PDP, ECMS.

2023: ICCS-DE.

2022: SIoTEC, ICCS, ICCS-DE, and ICSC-CITIES.

2021: ICCS-DE, ICAI, and ICSC-CITIES.

2020: GloSIC and AICTS.

2019: ICCS.

2018: PDCO, ICCS, BEEI, ISUM, ICA3PP, and UCC.

2017: CloudCom, ISPA, ITQM, STE, PPAM, ICCS, PDCO, DEXA, and CCGRID.

2016: ISUM, CloudCom, ICA3PP, ICCS, and JESTCH.

Evaluation Committe

2024: CONAHCYT projects submitted to the Basic Science Call for Proposals 

Invited Talks 

2023

Tercer Foro Nacional de Tecnologías de la Información y Sistemas Computacionales (FTI-SC). CAPTCHA Robusto contra ataques de aprendizaje de máquina basado en algoritmos evolutivos. Ponencia magistral. September 29th, 2023.

V International Workshop on Information, Computation, and Control Systems for Distributed Environments (ICCS-DE 23). Robust CAPTCHA against Machine Learning Attacks Based on Evolutionary Algorithms. Plenary session. Irkutsk, Russia. July 3-7, 2023.

2022

Universidad Politécnica de Amozoc (UPAM). Consideraciones al trabajar o estudiar en el extranjero. Jornada de Desarrollo Humano UPAM. Amozoc, Puebla, Mexico. November 17th, 2022.

IV International Workshop on Information, Computation, and Control Systems for Distributed Environments (ICCS-DE 22), Performance–Energy tradeoff consolidation with contention-aware resource provisioning in containerized clouds. Plenary session. Irkutsk, Russia. July 4-8, 2022.

2021

Universidad Politécnica de Amozoc (UPAM). Estudiar y trabajar en el extranjero. Jornada de Desarrollo Humano UPAM. Amozoc, Puebla, Mexico. November 10th, 2021.

Centro de Bachillerato Tecnológico Industrial y de Servicio 229 (CBTis 229). El uso de las tecnologías de cómputo como respuesta a los retos de la pandemia. Semana Nacional de Ciencia y Tecnología. Tehuacán, Puebla, Mexico. October 27th, 2021.

Congreso Nacional de la Sociedad Matemática Mexicana. Provisión de máquinas virtuales para la ejecución de gemelos digitales de procesos industriales. Puebla, Puebla, Mexico. October 20th , 2021.

Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE Research center). Postdoctorado en el extranjero: egresados comparten sus experiencias. Seminar. Ensenada, Baja California, Mexico. June 25th, 2021 (online).

2020

South Ural State University (SUSU). Privacy-Preserving Machine Learning as a Service. Seminar. Chelyabinsk, Russia. December 4th, 2020 (pdf).

Universidad Politécnica de Amozoc (UPAM). Aprendizaje automático con privacidad como servicio en la nube computacional. Semana de las Ingenierías. Amozoc, Puebla, México. November 25th, 2020.

Huawei. Privacy-Preserving Logistic Regression with Residue Number System as a Cloud Service. Workshop: Parallel & Graph Computing, Math Libraries, and Algorithms. Nizhny Novgorod, Russia, October 21st, 2020.

Universidad Politécnica de Amozoc (UPAM). Robots humanoides como apoyo en el proceso de rehabilitación física en la región de Amozoc. Seminar. Amozoc, Puebla, Mexico. July 17th, 2020.

South Ural State University (SUSU). Privacy-Preserving Machine Learning. Seminar. Chelyabinsk, Russia. March 3rd, 2020.

Session chair

2024

32 Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2024). Parallel Programming 1 Session. Dublin, Ireland. March 20-22, 2024.

2023

V International Workshop on Information, Computation, and Control Systems for Distributed Environments (ICCS-DE 23), Session 1. Irkutsk, Russia. July 3-7, 2023.

2022

IV International Workshop on Information, Computation, and Control Systems for Distributed Environments (ICCS-DE 22), Special Session for Young Scientists. Irkutsk, Russia. July 4-8, 2022.

Certifications

Java Standard Edition 6 Programmer Certified Professional Exam (1Z0-851). Puebla, Puebla, Mexico, April  2013.