Panos Parpas

Virtual and augmented reality technologies for emergency management in the built environments: A state-of-the-art review

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design

Smart Infrastructure: A Vision for the Role of the Civil Engineering Profession in Smart Cities

Integrating uncertainty into public energy research and development decisions

A review of energy systems models in the UK: Prevalent usage and categorisation

Nominal and robust train timetabling problems

Risk assessment and risk management: Review of recent advances on their foundation

Recent advances in robust optimization: An overview

Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm

Innovative approaches to integrated global change modelling

Approximation algorithms for homogeneous polynomial optimization with quadratic constraints

Energy systems modeling for twenty-first century energy challenges

Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming

Electrical energy storage systems: A comparative life cycle cost analysis

Most Tensor Problems Are NP-Hard

Global optimization of higher order moments in portfolio selection

An approximate dynamic programming framework for modeling global climate policy under decision-dependent uncertainty

Demonstrating demand response from water distribution system through pump scheduling

Robust portfolio optimization: a conic programming approach

A stochastic multiscale model for electricity generation capacity expansion

Global optimization of robust chance constrained problems