
Aggelos Bletsas
استاد · Wireless Communication
Rutgers, The State University of New Jerseyمعرفی
Aggelos Bletsas is a Full Professor in the Department of Electrical and Computer Engineering at Rutgers University. Previously, he held academic positions at the Technical University of Crete, where he served as Assistant Professor (2009–2014), Associate Professor (2014–2018), and Full Professor (2018–2024). His research focuses on scalable wireless communication, sensor networks, RFID systems, energy harvesting, and low-power IoT devices. He leads projects on batteryless backscatter sensors for precision agriculture and ambient-powered inference networks.
Education:
- Ph.D. in Media Arts & Sciences (MIT, 2005)
- M.Sc. in Media Arts & Sciences (MIT, 2001)
- Diploma in Electrical & Computer Engineering (Aristotle University of Thessaloniki, 1998)
Research interests include wireless sensor networks, RFID localization, signal processing for communication, and energy harvesting. His work emphasizes ultra-low-power, low-cost sensors deployable in agriculture and environmental monitoring. Key contributions include commodity-radio-based RFID localization and smartphone-readable backscatter sensors.
Honors include IEEE Fellow (202?), IEEE Communications Society Distinguished Lecturer (2022–2024), and multiple best paper awards. His students have won IEEE VTS/AES Greek Chapter Best Thesis Awards (2012, 2013) and ComSoc Student Competition prizes. He serves as Area Editor for IEEE Transactions on Wireless Communications and is a top-2% global scientist per Stanford rankings.
Advising and grants: Supervised over 15 students, with notable advisees listed in 'students'. His research has received ERC Starting Grant (A rating) and industry collaborations. Active in IEEE committees and conference organization.
Labs and teams: Co-director of WINLAB (Wireless Information Network Laboratory) at Rutgers, focusing on wireless systems and IoT. Collaborates with industry partners on RF energy harvesting and backscatter communication prototypes.
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