Kalin Stoyanov

Kalin Stoyanov
University of Chemical Technology and Metallurgy | UCTM · Department of Automation

Dr

About

10
Publications
3,711
Reads
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18
Citations
Additional affiliations
October 2019 - present
University of Chemical Technology and Metallurgy
Position
  • Professor (Assistant)
Description
  • Artificial intelligence, neural networks
March 2001 - September 2006
SGS Bulgaria
Position
  • Lead auditor and Certification manager
Description
  • Performed more than 400 third party audits and trainings in more than 180 companies - ISO 9001, ISO 14001, ISO 27001
June 2000 - December 2000
Avantium
Position
  • Part time consultant in Applied Statistics
Education
March 1987 - June 1990
University of Chemical Technology and Metallurgy
Field of study
  • Design of experiment and modeling of multicomponent systems

Publications

Publications (10)
Preprint
The process of training of Artificial Neural Networks essentially is optimization of the values of the weights $ w_{pq} $ associated with the arcs, connecting the nodes of the layers. This is a process of minimization of the Loss function (maximization of Accuracy function). During the training, the training data set recursively is utilized at subs...
Conference Paper
Full-text available
A training discipline "Basics if the Artificial Intelligence ", taught in UCTM, Sofia is presented. The discipline is developed according to the requirements of ACM as well the methodises presented by Russel and Norvig in their seminal book “Artificial Intelligence: A modern approach, 3 ed.”. As a tool for illustration of the AI algorithms to be st...
Article
Full-text available
The scanning of factor spaces (both process and mixture), usually is referred to as a technique for creation of a set of points. This set can be applied as the domain, where the values of some response function are calculated. Alternatively this can be the set of candidate points, used for searching of optimal experimental designs. In many practica...
Article
Full-text available
Clinically, there is an urgent need to identify new therapeutic strategies for selectively treating cancer cells. One of the directions in this research is the development of biocompatible therapeutics that selectively target cancer cells. Here, we show that novel aminated graphene oxide (haGO-NH2) nanoparticles demonstrate increased toxicity towar...
Preprint
The goal is to represent a multivariate polynomial in a vector space. This will allow us to apply the linear algebra tools in searching the proper structure of the polynomial. Typical application is in the stepwise method for model selection in regression analysis ([4]), but it can be used in other areas, where finding of the best structure of a po...
Chapter
Full-text available
This chapter of the book "Practical guide to chemometrics", 2nd ed. Edited by Paul Gemperline, is intended to describe the basic methods applied in the construction of experimental designs. The advanrages of the optimal designs against the one-variable-at-a-time are underlined. Different types of optimal designs and their areas of usfulnes are des...
Book
Full-text available
The book contains tables of ready constructed optimal designs. Each design is compromise optimal for two regression models. The researcher is free to choose the number of the experiments. The book contains designs for up to 10 mixture and process variables for different types of polynomial models.

Questions

Question (1)
Question
What could be the distribution (Normal, Poison) of the place of the optimized page in the Google search results, let's say.

Network

Cited By

Projects

Project (1)
Project
An approach for searching the best polynimial