Dr Chunwei Tian is an Associate Professor at Software School of Northwestern Polytechnical University (NPU) China. He is also a member of National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology and a member of Shenzhen Key Laboratory of Visual Object Detection and Recognition, China and a research fellow at City University of Hong Kong.
Dr Chunwei has obtained PhD degree of computer application technology at Harbin Institute of Technology (HIT), China. His academic work has been published in international journals and conferences recommended by CCF, such as IEEE TNNLS, IEEE TSMC, IEEE TMM, Pattern Recognition, Information Sciences, Neural Networks and ICASSP,more than 50 academic papers. He has applied for 9 invention patents and 16 software Copyrights in international journals and conferences recommended by CCF, such as Networks and ICASSP.
He was selected into the 2022 Jiangsu High-level Talents Project and the 2022 Suzhou Young Science and Technology Talents Lifting Project, and won the 2021 Excellent Doctoral Dissertation of Shenzhen Computer Society, the 2022 Excellent Doctoral dissertation of Harbin Institute of Technology and the fourth batch of special funding of China Postdoctoral Science Foundation (pre-station). He has presided over 12 projects of National Natural Science Foundation, provincial and municipal funds and horizontal projects.
His research interests are Computer Vision: Image Restoration, Video Restoration, Medical Image Processing, Image Recognition; Machine Learning: Deep Learning and Sparse Representation; Major Research Project: Noise Tolerance Computing and Flexible Low-Level Vision Tasks.
Nan Jiang
Prof Nan Jiang is the acting Head of Computing and Informatics and Professor in Human Computer Interaction. He joined Bournemouth University in 2010. Prior to this, Nan was an Open Distance Learning (ODL) tutor at Queen Mary, University of London, where he also received his PhD in Web Usability and MSc in Advanced Methods.
Nan has 10+years of full stack web development experience as a freelance technical consultant and technical writer. He is specialised in web/mobile app architectural and interface design but he also provides technical support on backend development.
He has provided consultancy for many companies and organisations through a number of national and international industrial and research projects including European Regional Development Fund (ERDF), European Commission Horizon 2020 (H2020), Higher Education Innovation Funding (HEIF) and Bill & Melinda Gates Foundation.
Nan was also a public invited expert for W3C HTML Working Group for HTML 5 standardisation and he is still a member of W3C China.
Nan mainly teaches Human Centred Design (HCD) and web development. He has extensive teaching experience. In the past, he worked as PG Programme Leader leading two MSc programmes and 60-credit Undergraduate Project Coordinator managing over 800 students between 2013 and 2018.
Shaheen Khatoon
Dr Shaheen Khatoon is a Senior Lecturer in Data Science at the University of East London. She has received various research grants and completed numerous research projects in collaboration with industry partners. She has authored over 40 publications in prestigious journals and supervised several postgraduate and undergraduate research projects, with some of them showing a high impact in the field. With a decade of experience in teaching a diverse range of computing courses, extensive experience in curriculum development, and higher education quality assurance, Shaheen has made a lifelong commitment to computer science education. She is a senior member of the Project Management Institute (PMI) and the Association for Computing Machinery (ACM).
Shaheen’s primary area of research is Artificial Intelligence (AI), and she is particularly interested in data mining, Machine Learning, Natural Language Processing, and Deep Learning, as well as their interdisciplinary applications to Predictive Analytics in Healthcare, Smart Homes & IoT Applications, Social Network Analytics, and Precision Agriculture.
David Lu
David Lu previously served as the Chief Technology Officer (CTO) at AT&T. He holds 58 patents and has received numerous industry awards. At AT&T, he was responsible for the architecture, development, and engineering of the company’s next-generation Software Defined Network (SDN) automation platform and the open-source initiatives under the Linux Foundation’s ONAP. These initiatives facilitated network virtualization and the development of 5G and fiber networks, spanning access and core networks and extending from the physical layer to service layers. He led the definition and implementation of AI-driven network systems transformation, which included Platform as a Service (PaaS) and Software as a Service (SaaS), policy control and orchestration, and hyper-automation with AI/ML-driven predictive and adaptive data and workflow analytics.
Having recently retired, he continues to serve as executive and technology consultant for leading global technology and innovation initiatives. He also serves on several boards of non-profit organizations that promote STEM education, leadership development, diversity, and cultural exchanges.
Visiting Professor
Dr Chunwei Tian is an Associate Professor at Software School of Northwestern Polytechnical University (NPU) China. He is also a member of National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology and a member of Shenzhen Key Laboratory of Visual Object Detection and Recognition, China and a research fellow at City University of Hong Kong.
Dr Chunwei has obtained PhD degree of computer application technology at Harbin Institute of Technology (HIT), China. His academic work has been published in international journals and conferences recommended by CCF, such as IEEE TNNLS, IEEE TSMC, IEEE TMM, Pattern Recognition, Information Sciences, Neural Networks and ICASSP,more than 50 academic papers. He has applied for 9 invention patents and 16 software Copyrights in international journals and conferences recommended by CCF, such as Networks and ICASSP.
He was selected into the 2022 Jiangsu High-level Talents Project and the 2022 Suzhou Young Science and Technology Talents Lifting Project, and won the 2021 Excellent Doctoral Dissertation of Shenzhen Computer Society, the 2022 Excellent Doctoral dissertation of Harbin Institute of Technology and the fourth batch of special funding of China Postdoctoral Science Foundation (pre-station). He has presided over 12 projects of National Natural Science Foundation, provincial and municipal funds and horizontal projects.
His research interests are Computer Vision: Image Restoration, Video Restoration, Medical Image Processing, Image Recognition; Machine Learning: Deep Learning and Sparse Representation; Major Research Project: Noise Tolerance Computing and Flexible Low-Level Vision Tasks.
Prof Nan Jiang is the acting Head of Computing and Informatics and Professor in Human Computer Interaction. He joined Bournemouth University in 2010. Prior to this, Nan was an Open Distance Learning (ODL) tutor at Queen Mary, University of London, where he also received his PhD in Web Usability and MSc in Advanced Methods.
Nan has 10+years of full stack web development experience as a freelance technical consultant and technical writer. He is specialised in web/mobile app architectural and interface design but he also provides technical support on backend development.
He has provided consultancy for many companies and organisations through a number of national and international industrial and research projects including European Regional Development Fund (ERDF), European Commission Horizon 2020 (H2020), Higher Education Innovation Funding (HEIF) and Bill & Melinda Gates Foundation.
Nan was also a public invited expert for W3C HTML Working Group for HTML 5 standardisation and he is still a member of W3C China.
Nan mainly teaches Human Centred Design (HCD) and web development. He has extensive teaching experience. In the past, he worked as PG Programme Leader leading two MSc programmes and 60-credit Undergraduate Project Coordinator managing over 800 students between 2013 and 2018.
Dr Shaheen Khatoon is a Senior Lecturer in Data Science at the University of East London. She has received various research grants and completed numerous research projects in collaboration with industry partners. She has authored over 40 publications in prestigious journals and supervised several postgraduate and undergraduate research projects, with some of them showing a high impact in the field. With a decade of experience in teaching a diverse range of computing courses, extensive experience in curriculum development, and higher education quality assurance, Shaheen has made a lifelong commitment to computer science education. She is a senior member of the Project Management Institute (PMI) and the Association for Computing Machinery (ACM).
Shaheen’s primary area of research is Artificial Intelligence (AI), and she is particularly interested in data mining, Machine Learning, Natural Language Processing, and Deep Learning, as well as their interdisciplinary applications to Predictive Analytics in Healthcare, Smart Homes & IoT Applications, Social Network Analytics, and Precision Agriculture.
David Lu previously served as the Chief Technology Officer (CTO) at AT&T. He holds 58 patents and has received numerous industry awards. At AT&T, he was responsible for the architecture, development, and engineering of the company’s next-generation Software Defined Network (SDN) automation platform and the open-source initiatives under the Linux Foundation’s ONAP. These initiatives facilitated network virtualization and the development of 5G and fiber networks, spanning access and core networks and extending from the physical layer to service layers. He led the definition and implementation of AI-driven network systems transformation, which included Platform as a Service (PaaS) and Software as a Service (SaaS), policy control and orchestration, and hyper-automation with AI/ML-driven predictive and adaptive data and workflow analytics.
Having recently retired, he continues to serve as executive and technology consultant for leading global technology and innovation initiatives. He also serves on several boards of non-profit organizations that promote STEM education, leadership development, diversity, and cultural exchanges.