Member

Summary

Mr. Nikola Hristov Kalamov, born in Karlovo (Bulgaria) and resident in Spain since 2004, earned a Bachelor’s degree in Video Game Design and Development (2022) and a Master’s in Decision Systems Engineering (2023).
He worked for one year as a research intern at the CTB (Centro de Tecnología Biomédica) of the Universidad Politécnica de Madrid (UPM), co-authoring an article on secure multi-party computation—currently under review in a high-impact journal—and initiating a follow-up study. He is now working on a PhD titled “Advances in Cryptography and Its Applications: Protection and Distribution of Personal, Health, Hospital, and Biometric Data.”
Since October 6, 2023, Mr. Kalamov has been a predoctoral researcher in the SA-BIO group (Universidad Rey Juan Carlos), where he focuses on secure biometric and biomedical data analysis.

  • Cryptanalysis
  • Applied cryptography
  • Biometrics
  • Online security
  • Decentralized systems
  • Secure data storage
  • Artificial intelligence
  • Machine learning

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Nikola Hristov Kalamov is a researcher in the field of artificial intelligence (AI) and biomedical data analytics. His work focuses on developing innovative solutions for teaching AI concepts, as well as applying deep learning techniques to classify and analyze medical conditions. One notable example of his research is the "Deep Neural Tower: A Game to Teach AI Concepts", which aims to educate individuals about AI principles through a game-based approach.

Additionally, Kalamov has explored the application of noninvasive deep learning methods for classifying Smith-Magenis Syndrome, a rare genetic disorder. His work also involves comparing different accelerated garble embedding methodologies for preserving privacy in biomedical data analytics, highlighting his commitment to ensuring the secure and responsible use of sensitive medical information.

Overall, Nikola Hristov Kalamov's research is centered on advancing AI and machine learning techniques in the context of biomedical data analysis, with a focus on developing innovative solutions that can improve patient outcomes and enhance our understanding of complex medical conditions.

Here are Nikola Hristov Kalamov's publications: 


-COMPARISON OF AN ACCELERATED GARBLE EMBEDDING METHODOLOGY FOR PRIVACY PRESERVING IN BIOMEDICAL DATA ANALYTICS

-DEEP NEURAL TOWER: A GAME TO TEACH AI CONCEPTS

-NONINVASIVE DEEP LEARNING ANALYSIS FOR SMITH–MAGENIS SYNDROME CLASSIFICATION

-RESEARCH GROUP IN BIOINSPIRED SYSTEMS AND APPLICATIONS OF THE REY JUAN CARLOS UNIVERSITY.