PhD Forum

Keynote Speakers

Philip E. Bourne - University of Virginia

The Most Important Ten Simple Rules. The Ten Simple Rules series of professional development articles have been viewed millions of times. What are the most important rules and why?

Kuan-lin Huang - Icahn School of Medicine at Mount Sinai

Search Optimization for a Fulfilling Career


14:00 - 14:05 Welcome

14:05 - 14:10 5-min Chat Roulette (Breakout rooms)

14:10 - 15:00 Keynote: The Most Important Ten Simple Rules Phil Bourne (University of Virginia)

15:00 - 15:10 10-min Chat Roulette (Breakout rooms)

15:10 - 15:40 Session 1: Methods

  • MUMBO: MUlti-task Max-value Bayesian Optimisation Henry Moss, David Leslie and Paul Rayson
  • Tree-based Learning for Dynamic Data Streams Christian Schreckenberger, Christian Bartelt and Heiner Stuckenschmidt
  • Reducing Over-Confident Errors via Context-Aware Distributional Signatures Iftitahu Ni’Mah, Vlado Menkovski and Mykola Pechenizkiy
  • Mining exceptional sequences using log likelihood based quality measures Rianne Schouten, Wouter Duivesteijn and Mykola Pechenizkiy

15:40 - 15:45 5-min Chat Roulette (Breakout rooms)

15:45 - 16:20 Session 2: Applications

  • Learning to Simulate on Sparse Trajectory Data Hua Wei
  • Detecting and predicting evidences of insider trading in the Brazilian market Filipe Lauar and Cristiano Arbex Valle
  • Development of Natural Language Processing System for Analysing Free-text Sleep Diary Heereen Shim
  • Learning to Detect Misinformation Using Meta-Learning Branislav Pecher, Ivan Srba and Maria Bielikova
  • FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs Simon Stieber, Niklas Schröter, Alexander Schiendorfer, Alwin Hoffmann and Wolfgang Reif

16:20 - 16:35 15-min break, with optional Chat Roulette (Breakout rooms)

16:35 - 17:25 Keynote Talk: Search Optimization for a Fulfilling Career Kuan-lin Huang (Ichan School of Medicine at Mount Sinai)

17:25 - 17:35 10-min Chat Roulette (Breakout rooms)

17:35 - 18:05 Session 3: Explainability

  • Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors Laure Crochepierre, Lydia Boudjeloud-Assala and Vincent Barbesant
  • Machine Learning for Converting Black-Box Models to Interpretable Functions Sascha Marton, Christian Bartelt and Heiner Stuckenschmidt
  • An uncertainty-based human-in-the-loop system for industrial tool wear analysis Alexander Treiss, Jannis Walk and Niklas Kuehl
  • Regularized GLS Regression Mikko Niemi

18:05 - 18:10 Closing

18:10 - 19:00 (Zoom room stays open for those who would like to hang around and socialize)


For any additional questions, you can contact the PhD Forum Chairs (Marinka Zitnik and Robert West) at phd_chairs[at]