Research and Technology in Graphic Engineering and Design at the Universitat Politècnica de Catalunya

Abstract

The Department of Graphic Engineering and Design (DEGD) of the Polytechnic University of Catalonia has undergone continuous and rapid changes in its teaching and research methods in recent years. The DEGD has pursued continuous improvement in learning techniques in its Undergraduate, Master’s and Doctoral programs, striving for excellence, adapting to the increasingly more varied research needs demanded by society from institutions of higher education. We are experiencing paradigm shifts, to a great extent due to the global change affecting the Earth, and we cannot sit back and wait as a society or a department. It is for this reason that a large part of the research carried out recently is related to improved sustainability, investigating new materials, industrial processes, technologies and mechanisms to repurpose and recycle, as is evident in the chapters of the present book. Graphic Engineering and Design is present in the design methodologies used to design a competition motorcycle, in the study of the potential of cellulose as a sustainable material, in the learning about equidistant curves and the solving of tangency problems, in the quest for an alternative to materials derived from fossil resources, in the new production processes for e-commerce packaging, in additive manufacturing, in 3D printing, in the new design methods for porous scaffolds; cross-curricular and innovative knowledge that forms part of the research at DEGD.

Voltage-tunable graphene-InP schottky photodetector with enhanced responsivity using plasmonic waveguide integration

“…Specifically, graphene exhibits an ultra-high room temperature carrier mobility exceeding 15,000 cm 2 /Vs along with broadband optical absorption extending from the visible to infrared wavelengths [4,5]. Additionally, the work function of graphene can be readily tuned over a wide range through electrostatic gating, chemical doping, or interfacing with other materials [6]. These attributes make graphene an ideal material for next-generation high-performance photodetection applications [7,8].…”

Structure‐Aware Image Translation‐Based Long Future Prediction for Enhancement of Ground Robotic Vehicle Teleoperation

“…There are a number of recent survey works that have been published for that purpose such as. [4][5][6] Instead of categorizing all of the video prediction techniques into different classes, they can more easily be represented under the set of distinct paths as illustrated in Figure 1.…”