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Editorial
When I assumed the role of a university professor, I observed numerous senior colleagues choosing to extend their tenures until the age of 70, despite having the option to retire at 62. Presently, with the retirement age set at 67, there appears to be a diminishing enthusiasm among colleagues to continue working until 70. Perhaps more crucial is the prevailing sentiment of disillusionment among scholars, as if their current responsibilities no longer align with the expectations they had when embarking on their professional journey. Indeed, some 30 or 40 years ago, being appointed as a teaching assistant was regarded as a privilege. However, nowadays, there is a noticeable decline in interest for those initial positions, or their applicants are not the best students we train.
Interestingly, when questioned about this prevailing sense of regret, the discontent does not typically revolve around the realms of teaching or research; rather, it centers on the various ancillary tasks that demand our attention. Administrative duties, although not necessarily consuming the majority of our time, are perceived as particularly distressing. This phenomenon is worth contemplating, especially in an era where administrative responsibilities should theoretically be streamlined due to digitalization. But that is not what I see. Now that we can communicate easier than ever before, we find ourselves investing substantial time in sifting through messages that may not be intended for us, duplicating information across various platforms, or simply dealing with adjustments in format.
If you are a fellow scholar and finished reading this editorial thinking that you may share my view, then you have to admit that something is profoundly amiss in our academic landscape!
José Carlos Pedro
(President)
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On the 8th of March, we caught up with Helena Maria Geirinhas
On International Women's Day, we interviewed Helena Maria Geirinhas, the next woman, professor, and researcher who will assume a position at IT Board in Lisbon (IST). We were interested to know more about her opinion, as a women engineer and professor, on the new strategies to deal with the Gender Gap in STEM areas, having present her own experience...
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Susana Sargento among 50 top Portuguese women in the “startup” ecosystem
Susana Sargento, our researcher and professor at the University of Aveiro (UA), is among the top 50 women in the ecosystem of “startups” and venture capital companies, according to the international platform Vestbee...
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Nélson Muga talked to "90 Segundos de Ciência" about QuantaGenomics project
Nélson Muga talked to the "90 Segundos de Ciência" podcast about QuantaGenomics, a project that uses quantum technologies to develop and support secure multi-agent computing systems...
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Instituto de Telecomunicações features on Perspectiva Actual Special Issue dedicated to the Research in Portugal
IT features in the February supplement, nº 29, Special Issue on Research in Portugal, of "Perspectiva Actual" (pp. 22 – 23). Read the full article...
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QuantSecure idea won 3rd place in the 4th edition of IN3+ Award
“QuantSecure - Authentication with non-clonable quantum photonic identifiers” was one of the three awarded (3rd place) ideas, within the scope of the 4th edition of the IN3+ Award...
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Event-based imaging, also known as neuromorphic imaging, is a recent visual information modality that relies on emerging event-based vision sensors, which are bio-inspired sensors that try to mimic the sensing behavior of a biological retina. EVASION project targets the research, development, and evaluation of event data coding solutions towards standardizing an event data coding format in JPEG...
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Nuno Rodrigues
Development, implementation, characterization, and deployment of an efficient power quality measurement network
PhD Degree in Electrical and Computer Engineering by the Instituto Superior Técnico, December 2023, supervised by Pedro Ramos (IT-IST) and Fernando Janeiro (University of Évora).
This research aims to develop and implement an embedded measurement power quality analyzer based on efficient signal processing algorithms; and, the deployment of a network of power quality monitoring devices in an environment characterized by high-penetration of renewable power production and different quality of service regions.
Nuno is an electronic engineer at Siemens SA.
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Esther Mora
Epiretinal Membrane Detection and Segmentation Using Deep Learning
Ph.D. in Electrical and Computer Engineering, University of Coimbra, November 2023, supervised by Luís Silva Cruz (IT-UC).
The thesis is focused on the research and development of algorithms for automatic detection and segmentation of epiretinal membranes in optical coherence tomography images. Epiretinal membranes are a sight-threatening ophthalmic condition of difficult diagnosis with increasing expression in aging populations.
Currently, Esther is a Data Engineering consultant at Mozantech.
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In 2017, I returned from an experience abroad to embark on a new project at the Champalimaud Foundation, focused on using artificial intelligence in oncological imaging. The work I developed within the project led to my desire to do my Ph.D. in this domain. Under the supervision of Mário Figueiredo, I started my Ph.D. journey in September 2018, joining IT as a Ph.D. student, supervised by Mário Figueiredo.
My research initially focused on understanding the challenges of generalisability and robustness inherent in developing AI models for oncology. Then, I investigated several approaches to mitigate these issues, yielding interesting results, and finally proposed deep-learning techniques to overcome these issues, resulting in the publication of four papers. This experience significantly impacted my scientific process, career, and personal life, and I successfully defended my Ph.D. in April 2023. Last but not least (actually the best thing that happened during this period), in October 2020, I also became the father of a little boy.
Later, I joined the Digital Surgery Lab - Breast Unit at the Champalimaud Foundation. Here, I assumed the role of senior research scientist, leading initiatives in Medical Imaging AI research.
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