- Fluid Dynamics and Turbulent Flows
- Aerodynamics and Acoustics in Jet Flows
- Genomics and Chromatin Dynamics
- Combustion and flame dynamics
- Bioinformatics and Genomic Networks
- Computational Fluid Dynamics and Aerodynamics
- Particle Dynamics in Fluid Flows
- Epigenetics and DNA Methylation
- Protein Structure and Dynamics
- Granular flow and fluidized beds
- Acute Myeloid Leukemia Research
- RNA Research and Splicing
- Computational Drug Discovery Methods
- RNA modifications and cancer
- Wind and Air Flow Studies
- Gene expression and cancer classification
- Color perception and design
- Advanced Combustion Engine Technologies
- Single-cell and spatial transcriptomics
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomic variations and chromosomal abnormalities
- Color Science and Applications
- Heat Transfer Mechanisms
- Microbial Metabolic Engineering and Bioproduction
Jackson Laboratory
2024-2025
National Institute of Fashion Technology
2023-2025
University of Warsaw
2019-2024
Hartford Financial Services (United States)
2024
Warsaw University of Technology
2022-2024
Boeing (Australia)
2011-2022
Jadavpur University
2017-2018
University of Illinois Chicago
2005-2010
Abstract The dynamic three-dimensional (3D) organization of the human genome (the “4D Nucleome”) is closely linked to function. Here, we integrate a wide variety genomic data generated by 4D Nucleome Project provide detailed view 3D in widely used embryonic stem cells (H1-hESCs) and immortalized fibroblasts (HFFc6). We extensive benchmarking mapping assays these diverse datasets annotate spatial features across scales. reveal rich complexity chromatin domains their sub-nuclear positions,...
Designing fashion apparel with local trends and styles, holds significant potential for retailers consumers. Fashion designers invest considerable time effort in creating designs based on print/pattern attribute selection. To address the challenges posed by manual efforts achieve automation, this article introduces a novel framework designers, incorporating specific styles (prints/patterns) information via generative models. The proposed method fine- tunes Stable Diffusion XL, text-to-image...
Abstract Aging is a process of systemic deterioration and the most significant risk factor for cancers. Clonal hematopoiesis (CH) commonly occurs with aging links to higher mortality, leukemia risk, cardiovascular diseases. Age-related CH involves abnormal clonal expansion hematopoietic stem cells (HSCs) bearing somatic mutations in genes frequently mutated leukemia, including encoding epigenetic regulators, e.g., DNA demethylase TET2. While such are known alter HSC epigenome, mechanisms...
Abstract Aging is a process of systemic deterioration and the most significant risk factor for cancers. Clonal hematopoiesis (CH) commonly occurs with aging links to higher mortality, leukemia risk, cardiovascular diseases. Age-related CH involves abnormal clonal expansion hematopoietic stem cells (HSCs) bearing somatic mutations in genes frequently mutated leukemia, including encoding epigenetic regulators, e.g., DNA demethylase TET2. While such are known alter HSC epigenome, mechanisms...
Abstract This paper discusses the development of a high‐order, multidomain‐based large‐eddy simulation (LES) methodology for compressible flows. The LES model equations are approximated on unstructured grids non‐overlapping hexahedral sub‐domains providing geometric flexibility. In each domain high‐order Chebyshev polynomial approximation represents solution ensuring highly accurate with little numerical dispersion and diffusion. sub‐grid scale stress in filtered is modeled dynamic...
In this paper we discuss the development of a robust, high-order discontinuous Galerkin (DG) spectral element method for large-eddy simulation (LES) compressible ∞ows. The secures geometrical ∞exibility through fully unstructured grid (triangles in 2D and tetrahedral elements 3D), allows arbitrary order accuracy has excellent stability properties. An based flltering technique is used conjunction with dynamic procedure to model efiect sub-grid scales. We aim use LES methodology large-scale...
Direct numerical simulation (DNS) is the most accurate method of solving turbulence in ∞uids. In DNS Navier-Stokes equations are solved on a flne mesh to resolve all spatial and temporal scales present ∞ow. order ensure high accuracy discrete solution, schemes with low errors necessary. Spectral methods their dissipation dispersion very attractive this regard. Since inception early 1970’s, spectral have been routinely applied towards direct turbulent ∞ows. Some earliest applications were...
Protein function prediction is gradually emerging as an essential field in biological and computational studies. Though the latter has clinched a significant footprint, it been observed that application of information gathered from multiple sources more influence than one derived single source. Considering this fact, methodology, PFP-GO, proposed where heterogeneous like Sequence, Domain, Protein-Protein Interaction Network have processed separately for ranking each individual functional GO...
The 2 m-long human DNA is tightly intertwined into the cell nucleus of size 10 μm. packing explained by folding chromatin fiber. This leads to formation such hierarchical structures as: chromosomal territories, compartments; densely-packed genomic regions known as Topologically Associating Domains (TADs), or Chromatin Contact (CCDs), and loops. We propose models dynamical genome components in lymphoblastoid, stem cell, fibroblast lines. Our are based on explosive percolation theory....
Large-eddy simulation (LES) has been increasingly applied to complex shear flows encountered in practical engineering devices. Here, we present the comparison of LES studies performed using explicit Chebyshev multi-domain method and semi-implicit Legendre spectral element method. Two different backward-facing step configurations are simulated at Reynolds numbers 5000 28; 000. A grid resolution study Re = 000 is carried out compare number elements required by two methods resolve flow field....
Nonreacting flow in a backward-facing step combustor is studied while employing novel countercurrent shear (or counterflow) concept. Counterflow used to manipulate the turbulent layer created by increase burning velocities, and thereby, reduce ignition delay time. Unfortunately, this concept also leads smaller residence time because of shorter recirculation vortex. These competing challenges achieving higher velocities longer demand modification geometry. Changes geometry will alter size...
During the last two decades, large-eddy simulation (LES) has been increasingly applied to complex shear ∞ows encountered in practical engineering devices. The ability of LES resolve large-scale unsteady ∞ow physics directly on computational grid, makes them attractive over Reynolds-averaged Navier-Stokes (RANS) modeling, despite higher cost. Modeling only small scale ∞ow-physics as opposed entire spectrum turbulence (as done RANS), reduces complexity modeling LES. At same time, application...
Essential protein identification is an important factor to inspect the mechanisms of disease progression and identify drug targets. With advancement high throughput genome sequencing projects, a bulk data available where analysis interaction pattern, functional annotation characterization are necessary for detecting proteins' essentiality in network level. A set centrality measure has been used highly connected proteins or hubs. From recent studies, it observed that majority hubs considered...
Fluidic control of shear layers in air-breathing liquid-fuel combustors is considered as a viable means for improving performance. The increasing demand compact combustion accompanied by low drag, high turndown ratio, and reliable flame anchor calls concurrent application advanced strategies such counter-current microjets. Traditional holders, the backward-facing step dump combustor, provide protective environment to reside. However, these systems also carry significant drag penalty. focus...