Engineering Communication

[Nguyet Mahrenholz]

Whetherwriting a report, giving a presentation, crafting lab reports, designing graphics, or doing any of a myriad of communication tasks, engineers must constantly think about clarity, efficiency, and elegance in their efforts to reach others. The College of Engineering supports students in preparing for these professional skills by offering communication classes, workshops, and other interactions that support the needs of engineering courses, students, faculty, and staff.

The most important objective of the Engineering Communications Program (ECP) is to enable undergraduate engineering students to develop strategies for learning to learn how to act effectively and efficiently as communicators.

In cooperation with several departments in the College of Engineering, and engineering faculty, ECP offers undergraduate students many different options to fulfill the Engineering Communications Requirement . Each of these options emphasizes learning to learn how to communicate within the demanding and widely varying contexts that engineers will encounter. Please see Engineering Communications Requirement for more details about the myriad of ways that the Engineering Communications Program supports students and faculty from across the College of Engineering and beyond.

As part of the Engineering Communications Program since 2012, Nathans-Kelly (pronouns she/her) has a special interest in social justice and techquity issues. She interacts daily to help engineers and pre-professional engineers to hone their technical communication and leadership skills and their technical messaging, whether it be via presentations, on paper, in meetings and teams, or online channels. She has worked with practicing professional engineers, technical experts, scientists, and related field experts for over 20 years, helping them to strengthen their abilities to become impactful contributors in their organizations.

Dr. Lane as an undergraduate Chemical Engineering degree from MIT, and continued her studies at the University of Colorado (Master's degree) and at the University of Massachusetts for her Ph.D. Before joining MIT as a faculty, she taught at Harvard, where she was also a researcher on the Harvard Study of Undergraduate Writing. In that research, she explored how students learn discipline-specific genres and forms of argumentation and then transfer them to new locations. Dr. Lane also co-directed ArchiMedia, a research lab that investigates how digital media is shaping professional communication practices, and how digital tools can be used (and designed) to teach professional communication.

Dr. Cameron Mozafari (he/him) is an interdisciplinary scholar-teacher working at the cross-sections of cognitive linguistics and rhetoric, with applications in environmental communication, the cognitive and emotion sciences, technical writing, political discourse, and philanthropic writing. He is a former board member of the International Cognitive Linguistics Association and the current co-chai or the Linguistics, Language, and Writing standing group for the Conference on College Composition and Communication, the flagship organization for writing studies. Outside of academia, he has worked as a science communicator and language consultant, as well as non-profit director and librarian for a queer literacy center. His work appears in The Routledge Handbook on Language and Persuasion, Communication Design Quarterly, The Oxford Handbook for Writing Tutors, Textual Cultures, and College Composition and Communication (forthcoming).

DeJesus is originally from Trumansburg but has lived in McLean for 10 years. She has amazing skills from her past administrative positions, and she loves this kind of work. She says that her four children (a toddler and 3 teenagers) keep her very busy when not assisting ECP and the Bovay programs with their administrative needs.

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Leonard Jahn et al. propose a probability-distributed equivalent circuit model that is capable of simulating open circuit voltage hysteresis and path dependency of rate capability in lithium-ion batteries with low computational cost.

Yoshida and colleagues present a technique for sealing bedrock flow paths using concretion-forming resin, which is inspired by the natural process of spheroidal concretion formation in natural calcite. The approach shows high speed and durability, also proving a good performance in withstanding seismic activity.

Yushen Zhang and colleagues report an open source, interactive software platform for the efficient and convenient design of 3D printable microfluidic devices. The approach incorporates a design-for-manufacturing function, facilitating device fabrication using commercial consumer-grade printers.

Syed Tariq Shah and colleagues use multi-antenna reconfigurable surfaces to maximise the accuracy of wireless indoor localisation. They study the achievable performance improvement using pre-trained machine learning techniques.

In this informative video Dr Adam Quirk discusses recent work published in Communications Engineering developing a lightweight active back exosuit to assist workers when lifting heavy objects. They hope their design can reduce the risk of lowerback pain injury in the workplace - Chung, J. et al. Commun Eng 3, 35 (2024).

To celebtrate International Women in Engineering Day 2024 on June 23rd, Commmunications Engineering show cases interviews with female engineers across research and industry. We start with a viewpoint discussing the experience of those who have ventured into industry by launching a startup. Stay tuned for more to come.

David Mayerich is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Houston. His research focuses on designing optical techniques for large-scale three-dimensional microscopy, as well as algorithms and analytical techniques for processing the resulting data.

For people with limited mobility, due congenital disability, aging, injury or medical conditions, assistive devices allow for greater normality in their everyday life. This collection will support high tech advances as well as innovative yet frugal assistive devices with the potential to improve mobility and transform lives.

Perera et al. developed a machine-learning approach for classifying whole-slide images into binary categories of tumour-infiltrating lymphocytes. They have benchmarked it against two established models and made the entire processing pipeline available as open source.

Sebastian Nilsson and colleagues capture the 3D structure of a gliding arc plasma and simultaneously apply a single shot fluorescence lifetime imaging from which the physical properties linked to the chemistry and molecular collision dynamics can be extracted.

Vovchuk et al. utilized generic algorithms to demonstrate a multi-wire superdirective antenna. The small device not only surpasses common directivity bounds but also demonstrates a superbandwidth, thus making it useful for wireless communications.

Mauricio Velazquez Lopez and colleagues fabricate a neuromorphic node with a response time that spans a range of 7 orders of magnitude. Their technology is compatible with complementary metal-oxide semiconductors, which makes it suitable for a variety of machine learning tasks.

Dr Roland Brunner and colleagues demonstrate how acoustic interferometry can be used to conduct a non-destructive and high-resolution failure analysis of through-silicon vias. They analyse the detection of nanometre-scale cracks and discuss how the opening angle of the acoustic lens impacts on performance.

Bahadır Utku Kesgin and Uğur Teğin propose using a Lorenz attractor as a nonlinear transfer function for neural network nodes. They design a power-efficient electrical circuit and use them for regression and classification test tasks.

Xiaofei Ma and colleagues provide a review of high-strain composite materials and their use in deployable space structures. The review contributes a broad overview of the field and discusses important design considerations for high-strain composite structures including manufacturing, viscoelasticity, and material selection.

In this Perspective, Manohar and colleagues introduce super phantoms as digital or physical models capable of mimicking complex tissue characteristics for imaging methods. They discuss phantoms as crucial for testing of new imaging technologies, and address critical issues surrounding their development and implementation.

This review explores adaptive neuron models from computational neuroscience, emphasizing their significance in the future development of power efficient artificial intelligence applications and hardware integration.

Daniel Perez Lopez is Co-founder and Chief Technology Officer at iPronics, a company dedicated to the development and commercialization of integrated programmable photonic circuits. His company focuses both on hardware advances for novel circuit and component architectures as well as software advances leading to the creation of fault-tolerant automated routines enabling advanced optical networking and processing, specially for AI infrastructure and intra-datacenter communications. As a young entrepreneur, Daniel shares with us his experiences and insights of the academia-industry transition and building a spin-out company from his university research.

Recent high-profile concrete material failures, including the collapse of parts of public buildings in the UK, have highlighted the need for a greater understanding of the durability of concrete. Here, John Provis explores the need to recognise the complexity of concrete when planning both the research and application of this key construction material.

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