Seminar Program 2019

Until otherwise indicated, all seminars take place in Ag C421.1 on Wednesdays at 10:15 am
Upcoming
  • 30.10: Optimization group meeting
  • 31.10: Professor Luca Di Gaspero (University of Udine): The EasyLocal experience: an Object-Oriented framework for local search methods and a set of integrated tools for the algorithm analysis
  • 06.11: (not final) DEMO status meeting
  • 12.11: Dr. Richard Allmendinger (Senior Lecturer in Decision Sciences, Univ. of Manchester, UK): Developing and applying data-driven decision support systems with industry
  • 13.11: Atanu Mazumdar: Probabilistic Selection for Decomposition based EMO for Offline Data-Driven Optimization
  • 19.11: Pouya Aghaei Pour: Topic to be announced.
  • 27.11: Bekir Afsar: Topic to be announced.
  • 04.12: Babooshka Shavazipour: Topic to be announced.
  • 11.12: Johanna Silvennoinen: Topic to be announced.
  • 12.12: (not final) Dmitry: Topic to be announced.

Presented
  • 09.01: Mona Salarifar: Connection between neural science and optimization
  • 16.01: DEMO Group: DEMO report discussion
  • 23.01: DEMO Seminar with forest researchers at 1:15 pm
  • 06.02: Kaisa Miettinen: Selected topics in doctoral studies and interations in RVEA.
  • 13.02: DEMO Seminar with forest researchers.
  • 20.02: Babooshka Shavazipour: Sustainable planning in Sugar and Bioethanol Supply Chain under Deep Uncertainty
  • 27.02: Atanu Mazumdar: On using uncertaininty information from kriging models to get better results.
  • 06.03: Pouya Aghaei Pour: On Challenges in dealing with an industrial project using interactive and non-interactive RVEA and K-RVEA
  • 13.03: Mohsen: On Focused E-Nautilus
  • 26.03: 14:15 to 16:00- DEMO meeting for discussion of ideas suggested during the planning session.
  • 27.03: DEMO Seminar with forest researchers.
  • 03.04: Richard Andrášik: Road network vulnerability and recovery process after disasters
  • 10.04: Jussi Hakanen: On Explainable Artificial Intelligence
  • 17.04: Juha Karvanen: Casual inference and decision making
  • 24.04: Bekir: Challenges in Comparing Interactive Multiobjective Optimization Methods
  • 25.04, 9 am to 12 noon: Tinkle Chugh (University of Exeter, UK): A multiobjective optimization approach in building Gaussian process models and A study on using different scalarizing functions in Bayesian multiobjective optimization
  • 29.04 14:15 to 16:00: Bhupinder Saini: How I code- My experiences and experiments with python coding at JYU
  • 01.05: No Seminar
  • 08.05: Pouya Aghaei Pour: New optimization group website design and the art of note-taking
  • 14.05 at 14:15: Prof. Kathrin Klamroth (Univ. of Wuppertal, Germany): Generic Scalarization-Based Algorithms in Multiobjective Optimization
  • 16.05 at NanoSauna YNC330: DEMO Seminar with forest researchers
  • 21.05: Prof Yaochu Jin at Ag D225.1 from 10:15 am to 12 noon: Data-driven Evolutionary Optimization: Online and Offline Model Management
  • 22.05: Tommi Kärkkäinenn at Ag D121 from 10:15 am to 12 noon: Machine learning using Minimal Learning Machine and Extreme Minimal Learning Machine
  • 29.05: Yue Zhou-Kangas: Experiences of applying for a PoDoCo project
  • 03.06, 12 noon to 3 pm: Practce session for CSAI talks
  • 10.06, 2 pm to 4 pm: Practce session for MCDM talks
  • 11.06, 9 am to 12 noon: Practce session for MCDM talks
  • 12.06: DEMO Seminar with forest researchers
  • 05.08- 13:15 to 15:00 at AgC231.1: Michael Emmerich: Lipschitzian vs. Gaussian error bounds in multiobjective optimization with expensive black-box functions
  • 07.08: Bhupinder Saini: Using preference information in evolutionary algorithms
  • 19.08 at AgC231.1: Prof. Jian-Bo Yang and Professor Dong-Ling Xu: Interpretable Belief Rule Base Model for Credit Risk Analysis and Mortgage Lending Decision Making
  • 21.08: DEMO seminar with forest researchers
  • 28.08: Discussion about coding standards, ideas sharing, and group name
  • 05.09: Johanna Silvennoinen: Research experience on usability and cognitive studies
  • 11.09: Vesa Ojalehto: Where codes are
  • 12.09: The state and future of DESDEO framework
  • 18.09: No seminar this week
  • 25.09: Qipeng Phil Zheng: Multistage Decision-Dependent Stochastic Programming Approaches for Power Generation Expansion Planning
  • 02.10: Jouni Helske: DEMO + statistics seminar. Bayesian reconstruction of historical population in Finland 1647-1850
  • 09.10: Optimization group meeitng
  • 16.10: Optimization group meeitng
  • 23.10: Bhupinder Saini: Practical demonstration of the using desdeo-emo package for analytical and benchmark problems