Recent Advances in Computational Optimization

Stefka Fidanova is Professor of Computer Science at Institute of Information and Communication Technologies, Bulgarian Academy of Sciences. Her research interests include theory, methods, applications of combinatorial optimization and parallel algorithms. She heads the research group of Parallel Algorithms and Machine Learning. She has authored over 200 refereed journal, proceedings and collection papers, edited 13 proceedings, collections and special issues and written 2 monographs. She belongs to the editorial boards of several international journals. She has received the Career Award 2018 of Marie Curie Alumni Association of EU. She is listed in the World's Top 2% Scientists by Stanford University in 2021.

• Meteorological and terrain data sources for optimizations of wildfire analyses in Bulgaria.- Customer Segmentation with K-Means Clustering: A Dynamic Approach Using Markov Chains.- Generalized Net for Diabetics Services After Earthquake.- Distribution of Injured People in Hospitals After an Earthquake.- Generalized Net for Disabled Persons Services After Earthquake.- A Software Solution for Package Delivery Optimization in Courier Business Using an Elliptic Intuitionistic Fuzzy Knapsack ProblemImplementation of FIWARE for Development of BigData Elderly Care Platform.- Complete Pareto Front of the Biobjective Minimum Length Minimum Risk Spanning Trees Problem.- Efficient Implementation of Sensitivity Analysis Code of a Large Environmental Model on High Performance Supercomputers.- Leveraging Deep Learning to Forecast Acute Morbidity: Temporal and Spatial Air Pollution Trends.- Electric Vehicle Adoption, Human-Induced Pollution, and Air Quality: Insights from Norway’s Four Largest Cities.- Design of the human following robot using Raspberry Pi.- The secretary problem for the 21st century: Optimal one-try selection of the best candidate with a lookahead strategy.