Successful BiSSL Participation in the 2025 ASEE Conference & Exposition

June 21-25, 2025 in Montreal, Canada

Dr. Astrid Layton hosted a free workshop at the 2025 ASEE Conference & Exposition in collaboration with Dr. Julie Linsey from Georgia Tech. The NSF sponsored workshop was titled โ€œIs My Makerspace Meeting Studentsโ€™ Needs? How to gain quantitative information about your space using a student-tool network modelโ€ and focused on the use of the BiSSL developed GUI for makerspace network analysis.

Dr. Layton also presented a paper “IUSE: Analyzing Nestedness Variability for Bipartite Makerspace Tool-Tool Projection Models” on this makerspace network analysis work, with lead author BiSSL PhD student Pepito Thelly.

Thelly, P., J. Linsey, A. Layton. (2025) โ€œIUSE: Analyzing Nestedness Variability for Bipartite Makerspace Tool-Tool Projection Models.โ€ ASEE 2025 Conference & Exposition. Montreal, Quebec, Canada.

Dr. Layton presented another paper “Work in Progress: Examining the Network Growth Strategies of Early-Stage Entrepreneurs” on research done in collaboration with Dr. M. Cynthia Hipwell at Texas A&M and the NSF I-Corps program, with first authors BiSSL grad student Ria Madan and PhD student Hadear Hassan.

Madan, R., H. Hassan, A. Layton, M. C. Hipwell. (2025) โ€œExamining the network growth strategies of early-stage entrepreneurs.โ€ ASEE 2025 Conference & Exposition. Montreal, Quebec, Canada.

New BiSSL publication in the journal Integrative & Comparative Biology

June 20, 2025

A paper coauthored by Ph.D. student Hadear Hassan and Dr. Layton titled “Improving Cross-Disciplinary Knowledge Transfer for Bio-Inspired Engineering Design” has been published in the Integrative And Comparative Biology (ICB) journal. The work covers a 4 year study of the bio-inspired engineering design inspiration process, looking at how the technical level of biological information impacts the success of the resultant engineering designs. The work finds that a staggered approach may be the most beneficial, starting with basic references like those from National Geographic or zoos and following up the initial design generation round with highly technical and detailed journal articles to provide more functional details.

“Bio-inspired design has become a significant driver of innovation, enabling the development of effective solutions to some of the worldโ€™s toughest challenges. Bio-inspired design leverages evolutionary advancements to create products and processes that are often more efficient and sustainable. However, applying biological insights to engineering can be challenging due to the distinct ways the two disciplines define and interpret core concepts. This paper explores the cognitive and technical skills required to effectively translate biological inspiration into engineering solutions. Our hypothesis focuses on bridging the “language and representation gap” between biology and engineering. The goal of this paper is to identify key aspects of biological representation that enable its successful adaptation into engineering design, fostering the development of more impactful and efficient bio-inspired solutions. The analysis of student feedback and ideation outputs revealed that engineers preferred biology texts with a medium level of technical complexity, balancing ease of understanding with image quantity. Basic references were found to support diverse idea generation, while more technical texts proved useful and necessary for understanding in-depth biological insights and applying them to engineering problems. Future research could explore the impact of information presentation order, the role of biological experts in deepening insights, and the use of machine learning to refine how biological information is selected and categorized to enhance the bio-inspired design process.” – Hassan and Layton. (2025) โ€œImproving Cross-Disciplinary Knowledge Transfer for Bio-Inspired Engineering Design.โ€ Integrative & Comparative Biology. DOI: 10.1093/icb/icaf119

Normalized student usefulness ratings per reference, based on reading ease (FRE) across the 3 reference categories (technical-blue circles, general-orange triangles, and basic-green squares). The red horizontal and vertical shading bars highlight the most frequently selected range for FRE if technical references, which falls between 28 and 45, along with their corresponding normalized voting quantity ranging from 0.65 to 1.

BiSSL PhD Student Emily Payne Becomes a Texas A&M Chevron Energy Graduate Fellow

June 5, 2025

Emily Payne, a Ph.D. student in BiSSL, will be a Texas A&M Chevron Energy Graduate Fellow for Fall 2025 and Spring 2026. The award, a partnership with Chevron and the Texas A&M Energy Institute, funds 10 outstanding graduate student researchers from across the Texas A&M campus annually with fellowship awards of $10,000 each.

Funded by Chevron, the fellows program includes mentoring from faculty experts and opportunities to meet with subject matter experts at Chevron. Currently enrolled Texas A&M University graduate students from any school or college whose current and active research efforts focus on energy, including policy, technology, science, and societal impacts were eligible. The Texas A&M Chevron Energy Graduate Fellows program is part of Chevronโ€™s University Partnership Program, which supports universities around the country by providing the necessary funding to better develop the future of the energy business.ย 

โ€œThis exciting new collaboration between Texas A&M and Chevron represents a significant step forward in our shared commitment to advance energy solutions in support of a lower carbon energy future. Our newest Chevron Fellows are poised to make a real impact by creating scalable solutions that will transform the energy landscape. We eagerly anticipate the positive contributions they will make for the world,โ€ said Jim Gable, the Vice President of Innovation at Chevronโ€™s Technical Center and President of Chevron Technology Ventures.

BiSSL Student Emily Payne Wins Award

February 22, 2025

BiSSL Ph.D. student Emily Payne awarded the Susan M. Arseven โ€™75 Make-a-Difference Memorial Award! The award was given by the Women in Science and Engineering (WISE) at their annual conference at Texas A&M University. The award encourages and provides financial assistance to A&M graduate students pursuing advanced degrees in science and engineering fields. Two awards of $1000 each are accompanied by a commemorative plaque and certificate.ย 

Dr. Susan Arseven’s career in computer science began after earning a B.S. in Physics from the University of Michigan and an M.S. in Library Sciences from Columbia University. She initially worked at IBM, leading a project at the University of Pennsylvania to create the first major automated library system. Dr. Arseven furthered her education with a Ph.D. in Computer Science from Texas A&M University, followed by a role at American Cyanamid, where she progressed from systems analyst to Chief Information Officer. In 1981, she completed an Executive MBA at Columbia University. Later, she served as the Senior Vice President and Chief Information Officer of Union Camp Corporation until 1999. Throughout her career, Dr. Arseven was involved in advisory and community roles, including at Pace University’s School of Computer Science.

Women in Science and Engineering (WISE) is an organization of undergraduate students, graduate students, faculty, postdoctoral fellows, and staff at Texas A&M University that serves and represents women in all areas of science and engineering at Texas A&M University. Their mission is to promote the involvement of women in the fields of science, engineering, and technology. They aim to stimulate and encourage young women to pursue such careers as well as act as a support system for those that are currently pursuing professional degrees.

PhD Student Hadear Hassan Attends Global Young Scientists Summit in Singapore

Singapore – January 6-10, 2025

The National Research Foundation of Singapore has been conducting the interdisciplinary Global Young Scientist Summit in Singapore (Global Young Scientists Summit (nrf.gov.sg)) since 2013. The goal of the summit is an open exchange between young scientists (in 2025 about 350 young scientists from across the globe) and some of the most prominent scientists in the world (in 2025 around 20 Nobel Laureates and Fieldโ€™s prize winners are expected). Texas A&M was invited to send our brightest young scientists to participate. Hadear was selected as one of 5 top nominations from A&M by the National Research Foundation of Singapore to participate in the summit.

The event enables promising young scientists to exchange ideas and knowledge with the speakers and their peers over four days under this theme. At the Summit, participants will take part in lectures, plenary sessions and panel discussions. They will have the opportunity to interact with and be mentored by speakers in informal small group sessions.

Invited Biology Symposium Presentation

Atlanta, GA – January 5, 2025

We started the year off with our lab’s work being presented at the Society for Integrative and Comparative Biology (SICB, https://sicb.org/) 2025 conference, thanks to an invitation from Drs. Cassandra Donatelli and Karly Cohen to participate in their special session “From evolution to innovation: bridging biology and engineering through bioinspired design.” The presentation, and upcoming paper with PhD student Hadear Hassan, focused on how to better support engineers seeking to do bio-inspired design: “The Role of Information Representation in Fostering Bio-Inspired Designs in Engineering.” The presentation will be published as a paper in the ICB journal later this year.

Abstract: Engineering designs inspired by the natural world encompass many innovative and novel solutions to human problems, often solving problems where engineers had initially only seen trade-offs. Most bio-inspired engineering designs however have been the result of either chance observation or dedicated study, hindering efforts to have biological inspiration become a mainstream tool. Efforts have been made to develop normative bio-inspired processes and identify approaches that can aid the non-experts in biology find and successfully implement a bioinspired strategy, however true accessibility is still lacking. This work uses classroom studies to understand the impact of information representation on engineering design creativity under a biologically inspired engineering umbrella. Small teams of students were provided with a common problem description, followed by different sets of biological information. This biological information was made up of various technical levels of figures, discipline-specific terminology, and reading levels. The students were tasked with generating bio-inspired design solutions using the provided biological information. Sketches and feedbacks from students provide insight into a possible connection between information representation (text vs. images, reading level, disciplinary overlap, ideation novelty and diversity scores) and bio-inspired engineering designs. Using images and different levels of technical complexity in the text are possible routes for improving successful interdisciplinary knowledge transfer in ways that broaden the accessibility of problem driven interdisciplinary design.

Hadear Hassan Wins 2024 James J. Cain โ€™51 Award

October 10, 2024

BiSSL Ph.D. student Hadear Hassan has been awarded the 2024 James J. Cain โ€™51 Award by the department, an award that recognizes the demonstrated academic and innovative excellence of the recipients and is awarded to only 2 graduate students each year. She received the award at the 2024 Mechanical Engineering Student Award Recognition on October 10th.

Dr. Astrid Layton and Ph.D. student Hadear Hassan at the Fall 2024 MEEN Award Ceremony.

James J. Cain โ€™51 was a long-time supporter and graduate of the Department of Mechanical Engineering at Texas A&M University. Cain was the youngest of five children and was born and raised in Sherman, Texas. After completing high school, Cain attended Texas A&M and received a degree in mechanical engineering. During his long and distinguished career of more than 35 years at Mobil Oil, Cain was renowned for his desire to mentor students and faculty at Texas A&M. He took great pride in being a part of Mobilโ€™s college recruiting team, often filling positions with Aggie graduates.

Journal Paper on Circular Economy in Manufacturing Published in JMSE

Two BiSSL students, Ph.D. student Hadear Hassan and MS alumna Amira Bushagour, have coauthored a paper in ASME’s Journal of Manufacturing Science and Engineering. The paper, originally presented at the 2024 MSEC conference, focuses on useful overlaps between reconfigurable manufacturing and circular economy efforts by assessing the adaptability and connection to circular economy principles in 44 different manufacturing system configurations.

Reconfigurability in manufacturing signifies a system’s capacity to promptly adapt to evolving needs. This adaptability is critical for markets to maintain operations during unexpected disruptions, including weather anomalies, cyber-attacks, and physical obstructions. Concurrently, the concept of a circular economy is gaining popularity in manufacturing to mitigate waste and optimize resource utilization. Circular economy principles aim to reduce environmental impacts while maximizing economic benefits by emphasizing the reuse of goods and resource byproducts. The nexus between reconfigurability and the circular economy stems from their shared pursuit of sustainability and resilience. Interestingly, biological ecosystems also exhibit these traits, showcasing exceptional adaptability to disturbances alongside the ability to effectively utilize available resources during normal operations. This study explores various manufacturing system configurations to assess both their adaptability and connection to circular economy principles. 44 configurations are categorized based on layout (e.g., job shop, flow line, cellular) and analyzed using convertibility, cyclicity, and Degree of System Order metrics. A significant positive correlation (R2 = 0.655) is found between high convertibility and ecologically similar levels of structural cycling, suggesting that effective resource utilization supports adaptability in manufacturing systems. Furthermore, this paper proposes the existence of a possible โ€œwindow of vitalityโ€ for cyclicity, as it demonstrates a significant correlation (R2 = 0.855) between the Degree of System Order and cyclicity. Identifying systems that strike a balance between redundancy, efficiency, convertibility, and cyclicity can aid manufacturing system designers and decision-makers in making choices that address increasing requirements for both sustainability and resilience.

Hassan, H., A. Bushagour, and A. Layton. (2024) โ€œResilient Circularity in Manufacturing: Synergies between Circular Economy and Reconfigurable Manufacturing.โ€ ASME Journal of Manufacturing Science and Engineering. 146(11): 110902. DOI: 10.1115/1.4065744

2 New Cyber-Physical Power Systems Papers Published

Two new papers have been recently published from the BiSSL group first-authored and co-authored by its students resulting from a collaborative grant with Sandia National Lab and Dr. Kate Davis’ group in Electrical Engineering.

Highlights include:

1. A graph-embedding technique, Node2Vec, to capture neighborhood relationships with second-order biased random walks for risk assessment in cyber-physical power grids.
2. Highly realistic and synthetic cyber network topologies for power grids to perform our case studies.
3. Visualization of the risk assessment with various methods for a more comprehensive situational awareness for grid operators.

Modern power grids and other complex systems are a fusion of physical and cyber components, giving rise to intricate interdependencies. These interdependencies, however, also expose vulnerabilities that can be exploited by adversaries. This paper delves into the critical examination of these interconnections, inspired by Ecological Network Analysis (ENA) techniques. By drawing from ecological modeling, we aim to understand the role of cyber-physical interdependencies in the resilience of complex systems. We introduce various modeling methods, including bipartite and tripartite networks, to analyze and map these interdependencies in the context of the IEEE WSCC 9-bus and the ACTIV 200-bus case study. The paper explores how these models can identify key actors and assess network resilience. Through a detailed methodology, we apply ecological metrics and community identification techniques to comprehensively evaluate the systemโ€™s interactions. The findings offer insights into the interplay of cyber and physical elements in power grids and other complex systems. These analysis methods show that tripartite networks produce more information on indirect interactions within a complex network. Additionally, they provide detailed information on how disturbances could propagate in a cyber-physical power system. Denial of service scenarios for the WSCC 9-bus and the ACTIV 200-bus case studies are employed to support this conclusion.

Payne, E., S. Hossain-McKenzie, N. Jacobs, K. Davis, A. Layton. (2024) โ€œAnalyzing Cyber-Physical Modularity and Interdependence Using Bio-Inspired Graph Modeling.โ€ IEEE Access. DOI: 10.1109/ACCESS.2024.3450368
This article explores vulnerabilities in modern power systems due to interdependencies between physical, cyber-physical, and cyber devices. Ecological Network Analysis (ENA) assists in constructing bipartite and tripartite networks for the WSCC 9-bus and ACTIV 200-bus systems. The findings reveal that tripartite networks offer deeper insights into indirect interactions, enhancing our understanding of systemic resilience under denial-of-service scenarios.

Abstract: Power systems are facing an increasing number of cyber incidents, potentially leading to damaging consequences to both physical and cyber aspects. However, the development of analytical methods for the study of large-scale power infrastructures as cyber-physical systems is still in its early stages. Drawing inspiration from machine-learning techniques, the authors introduce a method inspired by the principles of graph embedding that is tailored for quantitative risk assessment and the exploration of possible mitigation strategies of large-scale cyber-physical power systems. The primary advantage of the graph embedding approach lies in its ability to generate numerous random walks on a graph, simulating potential access paths. Meanwhile, it enables capturing high-dimensional structures in low-dimensional spaces, facilitating advanced machine-learning applications, and ensuring scalability and adaptability for comprehensive network analysis. By employing this graph embedding-based approach, the authors present a structured and methodical framework for risk assessment in cyber-physical systems. The proposed graph embedding-based risk analysis framework aims to provide a more insightful perspective on cyber-physical risk assessment and situation awareness for power systems. To validate and demonstrate its applicability, the method has been tested on two cyber-physical power system models: the Western System Coordinating Council (WSCC) 9-Bus System and the Illinois 200-Bus System, thereby showing its advantages in enhancing the accuracy of risk analysis and comprehensiveness of situational awareness.

Sun, S., H. Huang, E. Payne, S. Hossain-McKenzie, N. Jacobs, H. Vincent Poor, A. Layton, and K. Davis. (2024) โ€œA Graph Embedding-Based Approach for Automatic Cyber-Physical Power System Risk Assessment to Prevent and Mitigate Threats at Scale.โ€ The Institution of Engineering and Technology (IET) Cyber-Physical Systems: Theory & Applications. DOI: 10.1049/cps2.12097

Another Successful ASME IDETC Conference!

This year’s ASME IDETC-CIE conference saw one BiSSL Ph.D. student, Emily Payne, presenting her first-authored paper and Dr. Layton serving as an invited panelist for 2 panels.

Emily’s paper, “Integrating Machine Learning into the Design of Green Building Systems,” was presented in the SEIKM: Systems Engineering and Complex Systems.

Abstract: Sustainable infrastructure design is a complicated process often requiring detailed estimates specifications and constraints of the project scope to be compiled. Beyond the time-consuming gathering of project data sometimes the availability of completed projects is limited. Therefore, a method to produce similar designs with varied constraints requires a systems engineering perspective. Systems engineering provides a method to evaluate multidisciplinary design development while simultaneously following stakeholder requirements. Ecologically inspired systems have shown the ability to maintain balanced resources and structural relationships even under duress. Driven by the imperative to build sustainable infrastructure, this research explores the utilization of machine learning techniques to generate robust and reliable forecasts of green building specifications, even when design resources are scarce. To demonstrate the effectiveness of this approach, machine learning techniques were performed on a dataset of 93 green educational buildings, and on an oversampled dataset containing synthetically generated data points at the aim of certification level prediction. Both datasets contained metrics quantitatively characterizing cost, energy efficiency, and ecologically sustainable metrics specific to each building. Results indicate that the oversampled dataset allowed for better machine learning prediction among the classification algorithms considered. Oversampled data provided quality information offering cost minimization during initial design stages. This data suggests that oversampling is a reliable technique to amplify the design area of infrastructure projects when applied on data containing strong systemic classification patterns.

A panel session “Approaches to Environmental Sustainability,ย Perspectives from Europe and North America” hosted by the Design Society and organized by Dr. Julie Linsey invited me along with Dr. Abigail Clarke-Sather from the University of Minnesota Duluth and Dr. Devarajan Ramanujan from Aarhus University. The talks and discussion highlighted recent work at the interface of engineering design and circular economy.

Session Description: Minimizing impacts on the environment through clean energy, sustainability, and similar topics continues to grow and be critical topics in engineering.ย  It is a topic that attracts significant interest in both North America and Europe and benefits from the diverse regional perspectives.ย  In this special session, leading researchers from Europe and North America will present their perspectives on current needs, research approaches, cutting-edge research, and differing viewpoints.ย  This session will feature 7-minute short, thought-provoking presentations followed by panelist discussions and questions.ย ย  The focus will be on bringing diverse perspectives and cutting-edge research from both communities together, thereby building greater connections between the European Design Society community and the primarily North American ASME IDETC community.ย 

A panel special session “Opportunities at the Boundaries between Systems Engineering and Design Theory” hosted by the Design Theory and Methodology technical committee and organized by Drs. Bryan Watson and Alex Murphy invited me along with Diarny Fernandes from the Johns Hopkins University Applied Physics Laboratory and Dr. Matthew Mueller from PTC. The discussion highlighted useful intersections and emerging problems between design theory and systems engineering.