A5042265531- Hydrology and Drought Analysis
- Advanced biosensing and bioanalysis techniques
- Hydrology and Watershed Management Studies
- Probabilistic and Robust Engineering Design
- Computational Drug Discovery Methods
- Bioinformatics and Genomic Networks
- RNA Interference and Gene Delivery
- COVID-19 Clinical Research Studies
- DNA and Biological Computing
- Modular Robots and Swarm Intelligence
- Statistical Distribution Estimation and Applications
- Flood Risk Assessment and Management
- Computability, Logic, AI Algorithms
- Radiomics and Machine Learning in Medical Imaging
- Water resources management and optimization
- Time Series Analysis and Forecasting
- Software Engineering Techniques and Practices
- Reliability and Maintenance Optimization
- Seismology and Earthquake Studies
- Multi-Criteria Decision Making
- Optimal Experimental Design Methods
- Algorithms and Data Compression
- Supramolecular Self-Assembly in Materials
- Complex Systems and Decision Making
- Hydrological Forecasting Using AI
Technical University of Civil Engineering of Bucharest
2003-2021
National Institute of Research and Development for Biological Sciences
2018-2021
University of Bucharest
2018
To better understand the potential of drug repurposing in COVID-19, we analyzed control strategies over essential host factors for SARS-CoV-2 infection. We constructed comprehensive directed protein-protein interaction (PPI) networks integrating top-ranked factors, target proteins and PPI data. to identify targets combinations thereof that offer efficient factors. validated our findings against clinical studies data bioinformatics studies. Our method offers a new insight into molecular...
The Tile Assembly Model, and its many variants, is one of the most fundamental algorithmic assembly formalism within DNA nanotechnology. Most research in this field focused on complexity assembling different shapes patterns. In cases, process intrinsically deterministic final product unique, while might evolve through several possible strategies. study we consider controlled dimensional tile structures according to predefined graphs. We provide approaches for developing such protocols, using...
Multi-Attribute Decision Making (MADM) theory is a way to obtain good quality assessment for parallel and distributed software.It provides adequate tools compute synthetic characterization, named High Performance Computing (HPC) merit, which may be used in operations like software comparisons / rankings optimizations.The paper presents the general model with its associated problems terse telling case study.The described solved by Internet mathematical service OPTCHOICE (MADM modeling optimal...
The design flood concept (DF) provides for an essential tool in designing the hydraulic works, defining reservoir operation programs and a reliable hazard identification. Under simplified approach, maximum discharge floods volume are statistically processed to reasonably define DF. Yet, integral hydrograph additional key temporal quantitative details of important significance management particularly res-ervoirs associated risks failures. procedure presented this paper (as applied on set...
The Design Flood (DF) concept is an essential tool in designing hydraulic works, defining reservoir operation programs, and identifying reliable flood hazard maps. purpose of this paper to present a methodology for deriving hydrograph considering the epistemic uncertainty. Several appropriately identified statistical distributions allow acceptable approximation frequent values maximum discharges or volumes, display significant spread their medium/low Probabilities Exceedance (PE). referred...
Entropy represents a universal concept in science suitable for quantifying the uncertainty of series random events.In this paper we obtain new type entropy named Varma-Tsallis starting from Tsallis and Varma entropy.Some properties applications proposed water engineering are presented.
Current advances in computational modelling and simulation have led to the inclusion of computer scientists as partners process engineering new nanomaterials nanodevices. This trend is now, more than ever, visible field deoxyribonucleic acid (DNA)-based nanotechnology, DNA’s intrinsic principle self-assembly has been proven be highly algorithmic programmable. As a raw material, DNA rather unremarkable fabric. However, way achieve patterns, dynamic behavior, or nano-shape reconstruction, one...
Abstract In this paper we will study the statistical distributions for extreme discharges of Danube River using kernel functions. We also compare results with those obtained classical cumulative distribution functions (Pareto, Weibull, etc).
It is well known that in the breast cancer surgery, of paramount importance to choose best surgery type according patient's disease stage.The choice possible be made by computing, Multiple Attribute Decision Making paradigm, merits all types can applied.The main issues are diverse assessment problems with conflicting criteria and different measure units.Therefore both physician patient have a good scientific tool their practical decision process.
In this paper, new distributions with applications in the reliability of multicomponent systems (and not only!) are obtained using composition two probability distributions.We consider between: a) truncated binary distribution (Bin(n,p)) Lindley (Lindley()), b) Kemp (Kemp(α)) exponential distribution, (Exp(λ)) and c) Zipf (Zipf(α,n)) (Exp(λ)).Algorithms for numerical simulation these some comparisons between their performances presented.
Many statistical distributions approximate well the frequent values of maximum discharges, but have a very large spread for medium or rare probabilities exceedance. This scattering defines range uncertainty discharges outside measured values. Based on upper (U) and lower (L) interval, discharge flood (MDF) volume (MVF) are defined each probability approach is in agreement with bivariate analysis, contour lines certain exceedance putting into evidence an infinity couples (maximum discharge,...
To better understand the potential of drug repurposing in COVID-19, we analyzed control strategies over essential host factors for SARS-CoV-2 infection. We constructed comprehensive directed protein-protein interaction networks integrating top ranked factors, target proteins, and data. to identify targets combinations thereof that offer efficient factors. validated our findings against clinical studies data bioinformatics studies. Our method offers a new insight into molecular details...