IDA 2020 Success

Congratulations to Toyah Overton & Biraja Ghoshal for their papers accepted to IDA 2020 this year:

Biraja Ghoshal, Cecilia Lindskog, Allan Tucker, “Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics”

Toyah Overton, Allan Tucker, “DO-U-Net for Segmentation and Counting”

IEEE ICDM 2019

Congratulations to Noureddin Sadawi for his paper presentation at the SSTDM workshop at IEEE ICDM this year. His work was entitled ” Gesture Correctness Estimation with Deep Neural Networks and Rough Path Descriptors” (slides can be found here).

Nicky Nicolson is one of two recipients of the GBIF Young Researchers Award for 2019.

Congratulations again to Nicky Nicolson, who recently defended her thesis with no changes, and has now been awarded the GBIF Young Researcher award.

The award jury, led by GBIF science committee vice chair Anders G. Finstad of the Norwegian University of Science and Technology (NTNU), lauded Nicolson for her “highly original and innovative” approaches and her successful “use of data from GBIF to combine geographically distant collections using only minimal information on the specimen.”

She is the first U.K. national to win the award since Amy McDougal earned the honour in 2010, the programme’s first year. She is also the third U.K.-based winnner, preceded by McDougal and Juan Escamilla Mólgora, a Mexican PhD candidate at Lancaster University and 2016 award recipient.

For more information click here

Congratulations to Nicky Nicolson!

Congratulations to Nicky Nicolson who successfully defended her thesis on Friday 5th Oct with no changes! Nicky leads an IDA group at the Royal Botanical Gardens at Kew.

IDA Opening the Black Box Seminar (04 Oct 2019)

Jaakko Hollmén, Stockholm University, Department of Computer and Systems Sciences, Sweden

Jaakko Hollmén is a faculty member at Department of Computer and Systems Sciences at Stokcholm University in Sweden (since September 2019). Prior to joining Stokcholm university, he was a faculty member at the Department of Computer Science at Aalto University in Finland. His research interests include theory and practice of machine learning and data mining, in particular in the context of health, medicine and environmental sciences. He has been involved in the organization of many IDA conferences for the past ten years. He is also the secretary of the IDA council.

Title of Talk: Diagnostic prediction in neonatal intensive care units

Abstract: Preterm infants, born before 37 weeks of gestation, are subject to many developmental issues and health problems. Very Low Birth Weight (VLBW) infants, with a birth weight under 1500 g, are the most afflicted in this group. These infants require treatment in the neonatal intensive care unit before they are mature enough for hospital discharge. The neonatal intensive care unit is a data-intensive environment, where multi-channel physiological data is gathered from patients using a number of sensors to construct a comprehensive picture of the patients’ vital signs. We have looked into the problem how to predict neonatal in-hospital mortality and morbidities. We have used time series data collected from Very Low Birth Weight infants treated in the neonatal intensive care unit of Helsinki University Hospital between 1999 and 2013. Our results show that machine learning models based on time series data alone have predictive power comparable with standard medical scores, and combining the two results in improved predictive ability. We have also studied the effect of observer bias on recording vital sign measurements in the neonatal intensive care unit, as well as conducted a retrospective cohort study on trends in the growth of Extremely Low Birth Weight (birth weight under 1000 g) infants during intensive care.

Welcome to new PhDs / Interns

Welcome to Ashley Mann, Fawzia Kara-Isitt and Faisal Maramazi who will be starting their PhDs in October supervised by Stephen Swift and Mahir Arzoky.

Also, welcome to four new interns joining the IDA Group for the next 6 months:

Ylenia Rotalinti (Pavia): Working on Modelling Missingness in Primary Care Data

Barbara Draghi (Pavia): Working on Pseudo Time Models & Topological Analysis

Namir Oues (Brunel): Working on Patient Re-Identification in Synthetic Primary Care Data

Juan de Benedetti (Brunel): Working on Longitudinal Modelling of Primary Care Data