Meeting Society Challenges: Big Data Driven Approaches. A talk by Prof. Liangxiu Han on Thursday 31st May at 18:00 in T0.03, John Dalton building. (Refreshments available from 17:30).
By 2020, the total size of digital data generated by social networks, sensors, biomedical imaging and simulation devices, will reach an estimated 44 Zettabytes (e.g. 44 trillion gigabytes) according to an IDC report. This type of ‘big data’, together with the advances in information and communication technologies such as Internet of things (IoT), connected smart objects, wearable technology, ubiquitous computing, is transforming every aspect of modern life and bringing great challenges and spectacular opportunities to fulfil our dream of a sustainable smart society.
This talk will be focusing on new developments and methods based on big data driven approaches to address society challenges and demonstrate our innovative research through real case studies in various application domains such as Health, Food, Smart Cities, etc.
Prof. Liangxiu Han is a Professor of Computer Science. She is a Deputy Director of Centre for Advanced Computational Science and Man Met Crime and Well-Being Big Data Centre. Having worked in both industry and academia, Prof. Han has over 14 years research and practical experiences in developing intelligent ICT-enabled software solutions for large-scale data processing and data analysis and mining in different application domains (e.g. Health, Smart Cities, Bioscience, Cyber Security, Energy, etc.) using various datasets such as images, sensor data, network traffic, web pages (funded by EPSRC, EU-FP7, innovate UK, Government and Industry respectively).
As a Principal Investigator (PI) or Co-PI, Prof. Han has been conducting research in relation to big data processing and data mining, cloud computing/parallel and distributed computing (funded by EPSRC, BBSRC, Innovate UK, Horizon 2020, British Council, Royal Society, Industry, Charity, respectively, etc.).
Prof. Han is a member of EPSRC Peer Review College, an independent expert for Horizon 2020 proposal evaluation/mid-term project review, and British Council Peer Review Panel. She has also served as a guest editor for a number of reputable international journals (e.g. IEEE Access, PPNA, Journal of Medical Systems, etc.) and a chair (or Co-Chair) for organisation of a number of international conferences/workshops in the field. She has been invited to give a number of keynotes and talks on different occasions (including international conferences, national and international institutions/organisations). She is also a reviewer for IEEE computer society and Journal of Parallel and Distributed Computing, Journal of Information Science from Elsevier science, IEEE Transaction on Service Computing, Brain Computing, IEEE Transaction on Biomedical Imaging engineering, Bioinformatics, Brain Informatics, Clustering Computing, etc. and various international conferences and a programme committee member of various International Conferences.
Refreshments will be available from 17:30 in MMU’s John Dalton building, with the talk beginning in Lecture Theatre T0.03 at 18:00. This will last around one hour and will include time for audience questions. The event will finish with a drinks reception and further discussion.
Attendance to this event is free of charge, however we do ask that you book tickets in advance athttps://bigdataapproaches.eventbrite.co.uk
For queries related to this event or any others organised by MMU Engage, please email:firstname.lastname@example.org.