A5041747414- Advanced Control Systems Optimization
- Advanced Optimization Algorithms Research
- Numerical Methods and Algorithms
- Fault Detection and Control Systems
- Nanoparticle-Based Drug Delivery
- Probabilistic and Robust Engineering Design
- Solar Thermal and Photovoltaic Systems
- Control Systems and Identification
- Optimization and Variational Analysis
- Solar-Powered Water Purification Methods
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Membrane Separation Technologies
- Water resources management and optimization
- Water-Energy-Food Nexus Studies
- Agricultural risk and resilience
- Reservoir Engineering and Simulation Methods
- Optimization and Packing Problems
- Mathematical Biology Tumor Growth
- Wastewater Treatment and Nitrogen Removal
- Systems Engineering Methodologies and Applications
- Characterization and Applications of Magnetic Nanoparticles
- Analytical Chemistry and Sensors
- Engineering Education and Curriculum Development
- Technology Assessment and Management
- Statistical and numerical algorithms
University of Connecticut
2018-2025
University at Buffalo, State University of New York
2024
Massachusetts Institute of Technology
2010-2024
State University of New York
2024
Rowan University
2024
Engineering Systems (United States)
2018
Dexamethasone is a glucocorticoid steroid with anti-inflammatory properties used to treat many diseases, including cancer, in which it helps manage various side effects of chemo-, radio-, and immunotherapies. Here, we investigate the tumor microenvironment (TME)-normalizing dexamethasone metastatic murine breast cancer (BC). normalizes vessels extracellular matrix, thereby reducing interstitial fluid pressure, tissue stiffness, solid stress. In turn, penetration 13 32 nm dextrans, represent...
This paper describes two ways on how to interface Functional Mockup Units (FMUs) and Modelica models through the Pyomo’s foreign function with Pyomo. Pyomo is a Python-based, open-source optimization modeling language diverse set of capabilities. has arguably much better capabilities than Pyomo, but integrates excellent solvers, such as Ipopt (Wächter et al. 2006), provides good infrastructure. The Interface been developed in context NAWI, (National Alliance Water Innovation) Hub project...
Bone marrow (BM) has roles in health and disease, so systemically administered nanocarriers (NCs) targeting or avoiding BM are desirable. While the hydrodynamic diameter of NCs can be tuned to target avoid various organs, size dependence extravasation from vessels is unknown. To clarify passive transvascular transport BM, we performed vessel permeability measurements murine calvaria using confocal fluorescent microscopy with fluorescently labeled dextrans, albumin, polymeric micelles as...
A deterministic algorithm for solving nonconvex NLPs globally using a reduced-space approach is presented. These problems are encountered when real-world models involved as nonlinear equality constraints and the decision variables include state of system. By model equations dependent (state) implicit functions independent (decision) variables, significant reduction in dimensionality can be obtained. As result, inequality objective function which estimated via fixed-point iteration. Relying...
An extensible open-source deterministic global optimizer (EAGO) programmed entirely in the Julia language is presented. EAGO was developed to serve need for supporting higher-complexity user-defined functions (e.g. defined implicitly via algorithms) within optimization models. embeds a first-of-its-kind implementation of McCormick arithmetic an Evaluator structure allowing construction convex/concave relaxations using combination source code transformation, multiple dispatch, and...
A method is presented for guaranteeing robust steady-state operation of chemical processes using a model-based approach, taking into account uncertainty in the model parameters and disturbances process inputs. Intractable constrained max?min optimisation formulations have been proposed this problem past. new approach which equality constraints (process equations) are solved numerically variables as implicit functions uncertain controls. The then formulated semi-infinite program (SIP) only by...
Abstract We present a deterministic global optimization method for nonlinear programming formulations constrained by stiff systems of ordinary differential equation (ODE) initial value problems (IVPs). The examples arise from dynamic exhibiting both fast and slow transient phenomena commonly encountered in model‐based engineering applications. proposed approach utilizes unconditionally stable implicit integration methods to reformulate the ODE‐constrained problem into nonconvex program (NLP)...
Abstract Starting in 2020, ten faculty members of the University Connecticut's (UConn) Master Engineering program Advanced Systems applied four existing competency frameworks to define unique aspects their professional training using a competency-based education approach. The include 21st Century Cyber-Physical Education report published by National Academies Press, Applied Mathematics at U.S. Department Energy Lawrence Livermore Laboratory, INCOSE (International Council on Engineering)...
Abstract With the fourth industrial revolution well underway, proportion of occupations requiring "high" or "medium" digital skills has never been greater. Among those most in demand are engineers skilled computing and advanced problem solving to support ongoing digitalization, networking, automation. A numerical analysis course core undergraduate engineering curriculum is a natural place for students learn methods across applications. The use entire chemical also offers opportunities hone...
In this work, equality-constrained bilevel optimization problems, arising from engineering design, economics, and operations research are reformulated as an equivalent semi-infinite program (SIP) with implicit functions embedded, which defined by the original equality constraints that model system. Using recently developed theoretical tools for bounding functions, a algorithm global of solving standard SIPs explicit to optimality, method embedded is presented. The guaranteed converge...
A dynamic model of a concentrating solar thermal array and energy storage system is presented that differentiable in the design decision variables: aperture area capacity. The takes as input geographic location interest corresponding discrete hourly insolation data, calculates annual economic performance particular design. formulated for use determining optimal hybridization strategies industrial process heat applications using deterministic gradient-based optimization algorithms. Both...
The problem of designing novel process systems for deployment in extreme and hostile environments is addressed. Specifically, the system interest a subsea production facility ultra deepwater oil gas production. costs associated with operational failures are prohibitively high and, therefore, warrant application worst‐case design strategies. That is, prior to construction process, certificate robust feasibility obtained proposed design. concept addressed by formulating as semi‐infinite...
The robust design of performance/safety-critical process systems, from a model-based perspective, remains an existing challenge. Hybrid first-principles data-driven models offer the potential to dramatically improve model prediction accuracy, stepping closer digital twin concept. Within this context, worst-case engineering feasibility and reliability problems give rise class semi-infinite program (SIP) formulations with hybrid as coupling equality constraints. Reduced-space deterministic...