Facultad de Ingeniería - CampCM
City
Ciudad de México
Country
MX
Director
Hiram Eredi Ponce Espinosa
Parent Organisation
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Item type:Publication, Mapping the Antibiofilm Peptide Space with Similarity Networks and Curated Negative Sets(American Chemical Society (ACS), 2025); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Research ecosystem 2025(Universidad Panamericana, 2025); ; Dear campus members, It is with great satisfaction that we present our Research Ecosystem 2025, a publication that reflects the sustained growth and strategic maturation of research at Universidad Panamericana. This edition builds on an increasingly comprehensive vision of university research, one in which technology transfer and innovation, institutional funding for research, and international rankings positioning affirm themselves as complementary pillars of our scientific activity. Our scientific production maintains its commitment to quality, with more than 50% of our indexed publications appearing in high-impact Q1 and Q2 journals. This year’s report also introduces, for the first time, a dedicated section on copyright and industrial models alongside patents, reflecting the growing diversity and maturity of our intellectual property portfolio, now spanning areas as varied as aeronautics, semiconductor technology, healthcare devices, and sustainable materials. © Universidad Panamericana. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Cybernetic Insights on GenAI and Learning in Higher EducationThe rapid diffusion of Generative Artificial Intelligence (GenAI) is reshaping learning conditions, not by introducing new activities but by reorganising existing feedback structures among students, teachers, and learning environments. This study adopts a cybernetic perspective to explore how Gen AI influences the recursive processes of enquiry, collaboration, and reflection. Drawing on the concepts of feedback, adaptation, and regulation, this paper frames GenAI as an active participant in learning systems, redistributing agency, and reshaping the rhythm of interaction. A methodological guide is proposed for constructing case studies across disciplines, combining documentary artefacts and participant accounts to map the cybernetic dynamics in practice. A case study of a Quality Management module illustrates how GenAI reconfigures individual reflection, group collaboration, and assessment practices. This study contributes to cybernetic learning theory by showing how GenAI affects agency and feedback structures, and by providing a framework for designing ethical GenAI learning environments. This study acknowledges the limitations that future studies must address to examine student learning outcomes. The paper concludes by highlighting the research question: How does Gen AI reshape learning as a recursive cybernetic process? Scholars are invited to explore this in their own contexts in future studies. © The authors © IEEE.2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Edge-Enhanced Knowledge Distillation System for Diabetic Retinopathy Lesions Computer-Aided Diagnosis(Springer Nature Switzerland, 2025); 24 5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A visuo-haptic simulator for understanding magnetic forces for engineering majors(ICERI, 2024); Gonzalez-Nucamendi, AndresAccording to the embodied cognition theory, adding extra sensory channels for user interaction with an online learning scenario can improve understanding and long-term retention of physical phenomena. In this regard, the implementation of visuo-haptic simulators (VHSs), which integrate touch into a visual simulator, may enhance users' learning experiences by allowing them to manipulate objects and feel forces realistically. Haptic technology and VHSs have been used for training in various fields like surgery, navigation, and industrial applications. In education, VHSs have also been applied to explain physics concepts from elementary to undergraduate levels. Our research group has consistently applied a methodology to develop VHSs for undergraduate engineering students over several years, called VIS-HAPT. Using this methodology, several VHSs have been developed to explain physics concepts, such as electric forces between different charge distributions, friction forces exerted by a surface on a block, and the buoyant force on an object immersed in a liquid. In this project, we introduce a new VHS designed to clarify the nature of magnetic forces, a challenging concept for our students. This VHS features a fixed long straight conducting wire and a rectangular conducting loop in the same plane, with one side of the loop parallel to the wire. Users can adjust parameters like the magnitude and direction of currents in the wire and loop, the distance between them, and the loop's dimensions, and perceive the corresponding effects on the magnetic force exerted by the wire on the loop. Through the haptic feedback provided by the VHS students can feel the strength of this force, perceive its direction, and simultaneously visualize its value on the screen, enhancing their learning experience. The VHS was tested with 117 junior undergraduate engineering students at Tecnologico de Monterrey, Mexico City Campus, during the February-June 2024 term. To study the impact of the VHS on students’ learning, the student sample was randomly divided into an experimental group (N = 81), who used the VHS, and a control group (N = 36) who did not. Guided by detailed instructions, experimental students conducted several practices to explore the magnetic force by adjusting the physical parameters of the VHS. In a parallel way, control students received more traditional lecture-based instruction. A feedback perception questionnaire about the VHS experience was administered to the experimental students. The results show that most experimental students expressed a very positive opinion on their interaction with the VHS and found it user-friendly, motivating, realistic, and helpful in understanding magnetic forces. Additionally, by administering identical pre-tests and post-tests instruments to both experimental and control groups, learning gains were calculated for both student groups. The preliminary results are promising, in the sense that the average learning gains for the experimental students was larger than the one for the control students. The statistical significance of this result is discussed. Overall, the results of this work suggest that the use of the magnetic force VHS, complemented with appropriate learning strategies, can improve students' understanding and retention of electromagnetic concepts better than only applying traditional instruction methods. ©ICERI2024 Proceedings ©The authors.14 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Vision-Based Autonomous Navigation with Evolutionary Learning(2020); ; ; Chávez Domínguez, RodrigoIn this paper, we propose a vision-based autonomous robotics navigation system, it uses a bio-inspired optical flow approach using the Hermite transform and a fuzzy logic controller, the input membership functions were tuned applying a distributed evolutionary learning based on social wound treatment inspired in the Megaponera analis ant. The proposed method was implemented in a virtual robotics system using the V-REP software and in communication con MATLAB. The results show that the optimization of the input fuzzy membership functions improves the navigation behavior against an empirical tuning of them. © 2020, Springer Nature Switzerland AG.1 9Scopus© Citations 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Non-Contact Respiratory Rate Estimation in Newborns During Quiet Sleep Using Video Magnification Techniques and a 3D Convolutional Neural Network(IEEE, 2024); ; Cabon, SandieIn this paper, we present a new non-contact strategy to estimate the respiratory rate (RR) in a neonatal intensive care unit (NICU) based on the Eulerian motion video magnification technique and a 3D Convolutional Neural Network (3D CNN). The magnification procedure was carried out using the Hermite decomposition. The RR is estimated using a 3D CNN and a region of interest (ROI) detected manually. We have tested the method on 8 infants in NICU during quiet sleep. A contact respiratory signal is acquired synchronously to the videos to compute the RR as reference for training the CNN. To compare the performance of the method, we compute the Mean Absolute Error, the Root Mean Squared Error and metrics from the Bland and Altman analysis to investigate the agreement of the method with respect to the respiratory signal reference. The proposed solution shows an agreement with respect to the reference of 95% and root mean squared error of 2.88. ©The authors ©IEEE.21 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 17 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A cross-scale physical framework for transcription-associated CPEB4 microexon susceptibility and crowding-enhanced isoform self-association: toward a biophysical mechanism of idiopathic autism(IOP Publishing, 2026)