Events

Wireless research is increasingly moving toward Integrated Sensing and Communication (ISAC), which unifies radar and communication on a shared platform to improve spectral efficiency and reduce hardware costs. In this talk, we present a covert communication framework for Frequency-Modulated Continuous Wave (FMCW) radar systems that embeds binary symbols directly into the radar chirp. By selectively activating or suppressing transmissions at predefined time–frequency locations, information is encoded without disrupting core radar functionality. A synchronized receiver decodes the embedded bits based on energy detection, enabling low-overhead control signaling without requiring additional spectrum. The proposed scheme is compatible with existing FMCW hardware and introduces a stealthy communication layer with minimal impact on range estimation and resolution. Analytical and simulation results demonstrate reliable bit recovery, and a USRP-based software-defined radar prototype validates feasibility under practical SNR conditions. This work highlights covert embedding as a lightweight pathway toward practical ISAC systems for automotive, defense, and IoT applications. Speaker(s): , Shiwen Av. Eugenio Garza Sada 2501 Sur, Col. Tecnologico, Monterrey, Nuevo Leon, Mexico, 64849

In recent years, 3D human activity recognition and tracking has become an important topic in human-computer interaction. To preserve the privacy of users, there is considerable interest in techniques without using a video camera. In this talk, we first present RFID-Pose, a vision-assisted 3D human pose estimation system based on deep learning (DL). The performance of DL models depends on the availability of sufficient high-quality radio frequency (RF) data, which is more difficult and expensive to collect than other types of data. To overcome this obstacle, in the second part of the talk, we present generative AI approaches to generate labeled synthetic RF data for multiple wireless sensing platforms, such as WiFi, RFID, and mmWave radar, including a conditional Recurrent Generative Adversarial Network (R-GAN) approach and diffusion/latent diffusion based approaches. Next, we propose a novel framework that leverages latent diffusion transformers to synthesize high quality RF data, as well as a latent diffusion transformer with cross-attention conditioning to accurately infer missing joints in skeletal poses, completing full 25-joint configurations from partial (i.e., 12-joint) inputs utilizing received RF sensory data. Finally, we present our recent work TF-Diff, a novel training-free diffusion framework for cross-domain radio frequency (RF)-based human activity recognition (HAR) system, which enables effective adaptation with minimal target-domain data. Co-sponsored by: Instituto Tecnológico de Cuautla (TecNM-Cuautla) Speaker(s): Shiwen Mao Room: Emiliano Zapata, Bldg: H, Libramiento Cuautla-Oaxaca S/N, Colonia Juan Morales, Cuautla, Morelos, Mexico, 62745, Virtual: https://events.vtools.ieee.org/m/542574

This talk shares practical lessons on technical writing and publishing drawn from personal experience, from writing a first conference and journal paper to building a sustained research program. It discusses what makes a strong paper —solid contributions, clear positioning, and effective communication— along with strategies for choosing research topics at different career stages, crafting compelling introductions, handling related work and references, and navigating venue expectations. The session also covers common pitfalls, submission logistics, and the review and rebuttal process, offering actionable guidance to help graduate students and early-career researchers write stronger papers and develop a coherent, impactful research trajectory. Co-sponsored by: Instituto Tecnológico de Cuautla (TecNM-Cuautla) Speaker(s): Shiwen Mao Room: Emiliano Zapata, Bldg: H, Libramiento Cuautla-Oaxaca S/N, Colonia Juan Morales, Cuautla, Morelos, Mexico, 62745, Virtual: https://events.vtools.ieee.org/m/542605

Este jueves 26 de marzo se llevará a cabo una visita industrial a Daimler Mercedes-Benz, donde tendremos la oportunidad de conocer más sobre sus procesos dentro de la industria automotriz. Garcia N.L., Nuevo Leon, Mexico, 66000

🚀 ¡Llega un evento imperdible para la comunidad tech de Barranquilla! En alianza con (https://www.instagram.com/gdg.barranquilla/) , (https://www.instagram.com/ieeeunilibre_baq/) y (https://www.instagram.com/ieee.cs.comsoc.uninorte/) Uninorte, te invitamos a vivir una experiencia práctica donde aprenderás a crear aplicaciones con Inteligencia Artificial, prototipar ideas y llevarlas a producción en tiempo récord ⚡ 🔥 Contaremos con la participación especial de (https://www.instagram.com/mayrascript/), Google Developer Expert, ingeniera de software con más de 8 años de experiencia, apasionada por el desarrollo de soluciones de alto impacto, el código limpio y la escalabilidad. Además, es líder activa en comunidades tech y promotora de la diversidad en la industria 💜 📍 Lugar: Sala de Conferencias 2, Bloque 11 – Universidad de la Costa 📅 Fecha:Martes, 14 de abril 🕕 Registro: 6:30 p.m. 🕖 Inicio:7:00 p.m. 💡 ¿Qué vivirás? • Creación de apps funcionales usando IA • Prototipado rápido de productos digitales • Integración de herramientas para autenticación y datos • Publicación de tu app en tiempo real • Actividades dinámicas y networking con la comunidad tech ✨ Además, en la segunda parte del evento tendremos un taller especial sorpresa en colaboración con IEEE CS/ComSoc Uninorte, IEEE Unilibre y la rama IEEE CUC, donde podrás participar en una experiencia interactiva, conocer más de estas comunidades y llevarte premios 🎉 👀 Mantente atento a nuestros canales, porque pronto revelaremos más detalles. 🎁 Beneficios: • 🍪 Merienda incluida • 📜 Certificado de participación • ☁️ Acceso a créditos de Google gratis Co-sponsored by: Google Developer Group Barranquilla Calle 58 # 55 – 66, Barranquilla, Atlantico, Colombia