In the literature, machine learning (ML) and artificial intelligence (AI) applications tend to
start with examples that are irrelevant to process engineers (eg classification of images …

The global energy transition to renewable energy is beginning to gain in pace and scale.
This review focuses on how renewable energy from various sources can supply heating …

We study targeted lockdowns in a multigroup SIR model where infection, hospitalization,
and fatality rates vary between groups—in particular between the “young,” the “middle …

We develop a multi-risk SIR model (MR-SIR) where infection, hospitalization and fatality
rates vary between groups—in particular between the “young”,“the middle-aged” and the …

The promise of low latency connectivity and efficient bandwidth utilization has driven the
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …

Lattice reconstruction and corresponding strain accumulation plays a key role in defining the
electronic structure of two-dimensional moiré superlattices, including those of transition …

Combinatorial optimization has found applications in numerous fields, from aerospace to
transportation planning and economics. The goal is to find an optimal solution among a finite …

In light of upcoming electric vehicle (EV) battery retirement issues, second-life batteries
(SLBs) have received increasing attention for their ability to extend the life-span of existing …

In this paper we tackle the problem of dynamic portfolio optimization, ie, determining the
optimal trading trajectory for an investment portfolio of assets over a period of time, taking …

With the advancements in power electronic devices, the increasing use of DC loads, DC
renewable generation sources and battery storage systems, and no reactive power and …