Ning Xiong, Professor


Ning Xiong obtained the Ph.D with outstanding distinction from the University of Kaiserslautern (Germany) in 2000. His research addresses various aspects of computational intelligence techniques, incuding machine learning and big data analytics, evolutionary computing, fuzzy systems, uncertainty management, as well as multi-sensor data fusion, for building self-learning and adaptive systems in industrial and medical domains. He is serving as editorial board members for three international journals. He has been lead guest editor for a special issue in the journal "Neural Processing Letters" (Springer). He also has been programme committee members for a number of conferences and invited referee for many leading international journals.

Relevant conference information:

2018 the  3rd IEEE Conference on Computational Intelligence and Applications (ICCIA2018), Hongkong, July 28-30, 2018, http://www.iccia.org/

PhD students supervised as main supervisor:

Jonatan Tidare
Miguel Leon Ortiz

PhD students supervised as assistant supervisor:

Ella Olsson (former)
Per Hellström
Tomas Olsson (former)

MSc theses supervised (or examined):
Thesis TitleStatus
available
Data Center Operation Simulation available
Data Stream Mining with the PRAAG change detection algorithm available
Similarity learning in case-based reasoning available
Using AI and Statistics on Structured Electronic Patient Records for Clinical Decision Support Systems selected
USING DOMAIN KNOWLEDGE FUNCTIONS TO ACCOUNT FOR HETEROGENEOUS CONTEXT FOR TASKS IN DECISION SUPPORT SYSTEM FOR PLANNING selected
Autonomous robot collecting waste bins in an office environment in progress
Design of an Active Boom Suspension System in a Hybrid Wheel Loader in progress
Evaluation of grasp-and-extend hand dynamics and intelligent modeling of grasp hand dynamics in progress
Evolutionary computation in continuous optimisation and machine learning in progress
INTELLIGENT MATCHING FOR CLINICAL DECISION SUPPORT SYSTEM FOR CEREBRAL PALSY USING DOMAIN KNOWLEDGE in progress
Intelligent orange-picking robot in progress
NOISY BIG DATA CLASSIFICATION USING MAPREDUCE DISTRIBUTED FUZZY RANDOM FOREST in progress
The Influence of Bitcoin on Ethereum Price Predictions in progress
Using ant colony optimization as pathfinding in a changing environment in progress
Case-based approach for process modeling finished
Clinical Decision Support System for Cerebral Palsy finished
Combining different feature weighting methods for case-based reasoning finished
Enhancing the human-team awareness of a robot finished
Generating Fuzzy Rules from Case Base for Classification Problems finished
Monitoring system for free form modeling machines at Digital Mechanics. finished
OBJECT RECOGNITION THROUGH DEEP CONVOLUTIONAL LEARNING FOR FPGA finished
Ocean Waves Estimation finished
Real-time Process Modelling Based on Big Data Stream Learning finished