Matthew E. Wilhelm

ORCID: 0000-0002-4125-1493
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About
Contact & Profiles
Research Areas
  • Advanced Optimization Algorithms Research
  • Advanced Control Systems Optimization
  • Plant and animal studies
  • Insect and Arachnid Ecology and Behavior
  • Numerical Methods and Algorithms
  • Insect and Pesticide Research
  • Fault Detection and Control Systems
  • Probabilistic and Robust Engineering Design
  • Control Systems and Identification
  • Metaheuristic Optimization Algorithms Research
  • Nanoplatforms for cancer theranostics
  • Asthma and respiratory diseases
  • Radiomics and Machine Learning in Medical Imaging
  • Optimization and Variational Analysis
  • Collagen: Extraction and Characterization
  • Statistical and numerical algorithms
  • Allergic Rhinitis and Sensitization
  • Cancer Cells and Metastasis
  • Cellular Mechanics and Interactions
  • Reliability and Maintenance Optimization
  • Sympathectomy and Hyperhidrosis Treatments
  • Nanoparticle-Based Drug Delivery
  • Optimization and Packing Problems
  • Parkinson's Disease and Spinal Disorders
  • Neural Networks and Applications

University of Connecticut
2018-2023

University of South Florida
2022

Columbia University
2000-2011

University of North Carolina at Greensboro
2009-2010

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...

10.1021/acsnano.8b07865 article EN ACS Nano 2019-06-12

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...

10.1080/10556788.2020.1786566 article EN Optimization methods & software 2020-08-09

Abstract Honey bee queens are exceptionally promiscuous. Early in life, perform one to five nuptial flights, mating with up 44 drones. Many studies have documented potential benefits of multiple mating. In contrast, costs polyandry and the sensitivity such largely been ignored because they difficult address experimentally. To consider aspect queens, difficulty flight, we compared flight behavior success among a group control two experimental groups that carried lead weights different sizes....

10.1111/j.1439-0310.2009.01655.x article EN Ethology 2009-06-02

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)...

10.1002/aic.16836 article EN AIChE Journal 2019-10-16

While mast cells in connective tissues have long been associated with allergic reactions, it is now clear that they are also present within the central nervous system under normal physiological conditions. The cell population increases 10-fold medial habenular region of brain 2 h after pairing doves. first study explored whether this increase was due to exposure gonadal steroids. Light microscopic immunocytochemistry indicates an increased number MC following either testosterone (T) or...

10.1210/en.141.3.1178 article EN Endocrinology 2000-03-01

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...

10.1021/acs.iecr.2c00113 article EN Industrial & Engineering Chemistry Research 2022-04-11

Manufacturing plays a significant role in economic development, production, exports, and job creation, which ultimately contribute to improving the quality of life. The presence manufacturing defects is, however, inevitable leading products being discarded, i.e. scrapped. In some cases, defective can be repaired through rework. Scrap rework cause longer completion time, orders shipped late. Moreover, uncertainties combinatorial complexity significantly increases difficulty complex...

10.48550/arxiv.2206.09326 preprint EN cc-by arXiv (Cornell University) 2022-01-01

10.1007/s10957-023-02196-2 article EN Journal of Optimization Theory and Applications 2023-03-12
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