Adaptive Wireless Sensor Networks and Intelligent Systems for Secure, Sustainable, and Human-Centered Technologies

The seminar will be given by Carolina Del-Valle-Soto, Research Professor, Head of the Computing Academy, School of Engineering, Universidad Panamericana, Guadalajara, Mexico

  • Date: 18 June 2025 from 15:00 to 17:00

  • Event location: Room 5.7, viale Risorgimento 2, Bologna

  • Access Details: Free admission

Carolina Del-Valle-Soto

About the speaker

Dr. Carolina Del-Valle-Soto, originally from Medellín, Colombia, has been working in Mexico for the past sixteen years. She holds a Ph.D. in Information and Communication Technologies and a Master’s degree in Electronic Engineering with a specialization in Telecommunications, both from Tecnológico de Monterrey. She currently serves as Head of the Computing Academy at the School of Engineering at Universidad Panamericana in Guadalajara. Her main research areas include wireless sensor networks, energy consumption optimization, security in wireless technologies, and robotics for healthcare. Dr. Del-Valle-Soto is a research professor and a Level 1 member of the Mexican National System of Researchers. She has authored over 90 scientific contributions and 2 books, participated in prestigious international conferences, and contributed to outreach publications. Since 2020, she has served as an Evaluator for the European Commission in the area of Frontier Technologies. She has supervised three completed doctoral theses (with two more in progress), ten master’s theses, and five undergraduate theses in systems and telecommunications engineering. Her current work focuses on the optimization of routing protocols in wireless networks based on energy efficiency and performance metrics, with applications in elderly care and the detection and mitigation of attack agents in LoRa, WiFi, BLE, and Zigbee networks.

Abstract

This seminar explores the design and implementation of adaptive wireless sensor networks (WSNs) integrated with intelligent systems to address critical challenges in energy efficiency, security, and human-centered applications. Drawing on interdisciplinary research, it presents novel routing protocols for energy-harvesting environments, AI-driven behavior analysis using wearables, and multilayered defenses against jamming in industrial and healthcare settings. Real-world case studies, from smart campuses to elderly care systems, demonstrate how scalable, low-power, and secure WSN architectures can drive sustainable innovation across the Internet of Things ecosystem.