Center for Electronics, Optoelectronics and Telecommunications (CEOT)

Submitted by rguerra on Tue, 09/19/2023 - 11:59
University
University of Algarve
Faculty/school/department
Faculdade de Ciências e Tecnologia
Size of the team
number of researchers number of supporting staff number of PhD students
12
0
5
PI
PI name
Rui Guerra
PI email
rguerra@ualg.pt
Contact person and e-mail
Contact person
Rui Guerra
Contact person e-mail
rguerra@ualg.pt
Short description of research profile

CEOT is a research center based in the University of Algarve that was established in 2003 as a result of a collaborative effort of several young scientists in the areas of electronics, optoelectronics and telecommunications. Today CEOT is composed of a multidisciplinary blend of researchers in the fields of informatics, computer science, electronics, physics and biology, following a research strategy towards an integrated approach to networks, electronics and sensing applications in biology. Research activities include network communications, with a strong emphasis in the Internet of Things (IoT), and sensing for agronomic applications, with a strong emphasis on optical and electrical measurements.

Research area
NATURAL SCIENCES » Computer and information sciences » (ET) COMPUTER SCIENCE, INFORMATION SYSTEMS
NATURAL SCIENCES » Computer and information sciences » (EV) COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
NATURAL SCIENCES » Physical sciences and astronomy » (SY) OPTICS
NATURAL SCIENCES » Biological sciences » (CQ) BIOCHEMISTRY & MOLECULAR BIOLOGY
NATURAL SCIENCES » Biological sciences » (DE) PLANT SCIENCES
ENGINEERING AND TECHNOLOGY » Electrical eng, electronic eng » (YE) TELECOMMUNICATIONS
ENGINEERING AND TECHNOLOGY » Other engineering and technologies » (JY) FOOD SCIENCE & TECHNOLOGY
ENGINEERING AND TECHNOLOGY » Other engineering and technologies » (XQ) SPECTROSCOPY
Scientific Themes (keywords)
internet of things
web of things
network optimization
neural networks
CHEMOMETRIC TECHNIQUES
nondestructive optical measurements
NIR spextroscopy
postharvest technology
fruit conservation
Publications

Representative publications

Al-Tam, F., & Correia, N. (2019). On load balancing via switch migration in software-defined networking. IEEE Access, 7, 95998-96010.
Mishra, P., & Passos, D. (2021). A synergistic use of chemometrics and deep learning improved the predictive performance of near-infrared spectroscopy models for dry matter prediction in mango fruit. Chemometrics and Intelligent Laboratory Systems, 212, 104287.
Cavaco, A. M., Pires, R., Antunes, M. D., Panagopoulos, T., Brázio, A., Afonso, A. M., Silva, L., Lucas, M. R., Cadeiras, B., Cruz, S. P. & Guerra, R. (2018). Validation of short wave near infrared calibration models for the quality and ripening of ‘Newhall’ orange on tree across years and orchards. Postharvest Biology and Technology, 141, 86-97.
Coelho, A. C., Pires, R., Schütz, G., Santa, C., Manadas, B., & Pinto, P. (2021). Disclosing proteins in the leaves of cork oak plants associated with the immune response to Phytophthora cinnamomi inoculation in the roots: A long-term proteomics approach. PLoS One, 16(1), e0245148.
Saeed, S., De Weerd, C., Stallinga, P., Spoor, F., Houtepen, A. J., Da Siebbeles, L., & Gregorkiewicz, T. (2015). Carrier multiplication in germanium nanocrystals. Light: Science & Applications, 4(2), e251-e251.
Technology Expertise
  • IoT and WoT protocols and optimization
  • Near infrared spectroscopy (development of industrial prototypes)
  • Electronics measurements at DC and low frequencies