{"id":7105,"date":"2022-08-03T15:59:28","date_gmt":"2022-08-03T15:59:28","guid":{"rendered":"https:\/\/themedemo.commercegurus.com\/shoptimizer-demodata\/?page_id=7105"},"modified":"2025-10-26T19:47:40","modified_gmt":"2025-10-26T19:47:40","slug":"home","status":"publish","type":"page","link":"https:\/\/jzhang.bournemouth.ac.uk\/","title":{"rendered":"Home"},"content":{"rendered":"\t\t
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Jian J Zhang is Professor of Computer Graphics at the National Centre for Computer Animation (NCCA), Bournemouth University where he leads the National Research Centre. He has worked at various universities including Bristol University, University of Newcastle upon Tyne, Chongqing University, Queens University of Belfast and Brunel University.
\nAs Principle Investigator, Prof Zhang has brought in 10 million pounds (GBP) of research grants to the NCCA from EPSRC, AHRC, EU FP7, EU H2020, and Horizon Europe as well as other funding organisations. His research focuses on topics relating to 3D computer animation, immersive technology (virtual and augmented reality), virtual human modelling and simulation, digital twins and artificial intelligence (AI) powered graphical applications, including graphical scene understanding, medical visualisation and simulation, and conversational AI.
\nProf Zhang has published over 350 peer reviewed journal and conference publications and has given over 30 invited\/keynote talks around the world. He has chaired over 40 international conferences and symposia, and serves on a number of editorial boards.
Prof Zhang was awarded the \"CGI Outstanding Career Award\" by Computer Graphics International and Computer Graphics Society in 2021.<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Recent Research Projects<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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\"Towards
Towards Immersive Video Game Experiences through Naturalistic and Emotive Dialogue Agent<\/figcaption><\/figure><\/a><\/div>
\"Photorealistic
Photorealistic 3D Head Reconstruction via 2D Gaussians<\/figcaption><\/figure><\/a><\/div>
\"AssetMask:
AssetMask: Mask R-CNN-based approach for Asset detection in railroad track health monitoring<\/figcaption><\/figure><\/a><\/div>
\"Unsupervised
Unsupervised Salient Object Detection with Pseudo-Labels Refinement <\/figcaption><\/figure><\/a><\/div>
\"AI-ACT:
AI-ACT: AI Augmented Clinical Training with Natural Language Dialogue<\/figcaption><\/figure><\/a><\/div>\t\t\t<\/div>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\"DTNT:
DTNT: Integrating Natural Interaction and Digital Twins into XR Clinic Environment to Enhance Nurse Training<\/figcaption><\/figure><\/a><\/div>
\"NLP-MMI:
NLP-MMI: Marking Medical Image Report Automatically with Natural Language Processing<\/figcaption><\/figure><\/a><\/div>
\"ACMod:
ACMod: Affective Computing Models: from Facial Expression to Mind-Reading<\/figcaption><\/figure><\/a><\/div>
\"Deep
Deep Learning Based Facial Modeling and Animation<\/figcaption><\/figure><\/a><\/div>
\"Leveraging
Leveraging LLM Capabilities for iVC in Game Planning<\/figcaption><\/figure><\/a><\/div>
\"Neuravatar:
Neuravatar: Using Augmented Reality in Medical Education<\/figcaption><\/figure><\/a><\/div>
\"Visitor
Visitor Experience Innovation through Systematic Text Analytics and Augmented Reality<\/figcaption><\/figure><\/a><\/div>
\"Shared
Shared Post-Human Imagination: Human-AI Collaboration in Media Creation<\/figcaption><\/figure><\/a><\/div>
\"Fully
Fully Automatic Facial Deformation Transfer<\/figcaption><\/figure><\/a><\/div>
\"The
The impact of decision points on affective responses of experienced game players in Baldur\u2019s Gate 3<\/figcaption><\/figure><\/a><\/div>
\"Deep
Deep Unscaling for Real-Time Rendering<\/figcaption><\/figure><\/a><\/div>\t\t\t<\/div>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Research Student Projects
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\"A
A practical generalization metric for deep networks benchmarking.<\/figcaption><\/figure><\/a><\/div>
\"Evaluation
Evaluation framework for domain-specific digital twin platforms<\/figcaption><\/figure><\/a><\/div>
\"A
A Versatile Energy\u2010Based SPH Surface Tension With Spatial Gradients<\/figcaption><\/figure><\/a><\/div>
\"An
An end-to-end implicit neural representation architecture for medical volume data<\/figcaption><\/figure><\/a><\/div>
\"Dynamic
Dynamic Importance Monte Carlo SPH Vortical Flows With Lagrangian Samples<\/figcaption><\/figure><\/a><\/div>
\"Parametric
Parametric surface reconstruction from 3D point data using partial differential equation<\/figcaption><\/figure><\/a><\/div>
\"Hybrid
Hybrid architecture based intelligent diagnosis assistant for GP<\/figcaption><\/figure><\/a><\/div>
\"Point\u2019n
Point\u2019n Move: Interactive scene object manipulation on Gaussian splatting radiance fields.<\/figcaption><\/figure><\/a><\/div>
\"Physics-based
Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges.<\/figcaption><\/figure><\/a><\/div>
\"Fast
Fast and compact partial differential equation (PDE)-based dynamic reconstruction<\/figcaption><\/figure><\/a><\/div>
\"Analytical
Analytical C 2 Continuous Surface Blending.<\/figcaption><\/figure><\/a><\/div>
\"Multi-colour
Multi-colour sketch-based image retrieval with an explicable feature embedding<\/figcaption><\/figure><\/a><\/div>
\"Dg-pic:
Dg-pic: Domain generalized point-in-context learning for point cloud understanding. <\/figcaption><\/figure><\/a><\/div>\t\t\t<\/div>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\"TMSDNet:
TMSDNet: Transformer with multi-scale dense network for single and multi-view 3D reconstruction<\/figcaption><\/figure><\/a><\/div>
\"Fully
Fully Automatic Facial Deformation Transfer<\/figcaption><\/figure><\/a><\/div>
\"Monte
Monte Carlo Vortical Smoothed Particle Hydrodynamics for Simulating Turbulent Flows<\/figcaption><\/figure><\/a><\/div>
\"BEMF-Net:
BEMF-Net: Semantic Segmentation of Large-Scale Point Clouds via Bilateral Neighbor Enhancement and Multi-Scale Fusion<\/figcaption><\/figure><\/a><\/div>
\"Deep
Deep Learning for Scene Flow Estimation on Point Clouds: A Survey and Prospective Trends<\/figcaption><\/figure><\/a><\/div>
\"Hybrid
Hybrid architecture based intelligent diagnosis assistant for GP<\/figcaption><\/figure><\/a><\/div>
\"Character
Character Modelling with Sketches and ODE-Based Shape Creation.<\/figcaption><\/figure><\/a><\/div>
\"A
A mixed reality framework for microsurgery simulation with visual-tactile perception<\/figcaption><\/figure><\/a><\/div>
\"Editing
Editing And Animating Implicit Neural Representations<\/figcaption><\/figure><\/a><\/div>
\"TsFPS:
TsFPS: An Accurate and Flexible 6DoF Tracking System with Fiducial Platonic Solids<\/figcaption><\/figure><\/a><\/div>
\"Train
Train post-derailment behaviours and containment methods: a review<\/figcaption><\/figure><\/a><\/div>
\"PDE-based
PDE-based surface reconstruction in automotive styling design<\/figcaption><\/figure><\/a><\/div>
\"Anisotropic
Anisotropic screen space rendering for particle-based fluid simulation<\/figcaption><\/figure><\/a><\/div>
\"DFIE3D:
DFIE3D: 3D-Aware Disentangled Face Inversion and Editing Via Facial-contrastive Learning<\/figcaption><\/figure><\/a><\/div>
\"3D
3D content creation exploiting 2D character animation<\/figcaption><\/figure><\/a><\/div>
\"Implicit
Implicit smoothed particle hydrodynamics model for simulating incompressible fluid-elastic coupling<\/figcaption><\/figure><\/a><\/div>
\"Application
Application of a parallel physics-informed neural network to solve the multi-body dynamic equations for full-scale train collisions<\/figcaption><\/figure><\/a><\/div>
\"State-of-the-art
State-of-the-art improvements and applications of position based dynamics<\/figcaption><\/figure><\/a><\/div>
\"Semantic
Semantic Modeling of Indoor Scenes with Support Inference from a Single Photograph <\/figcaption><\/figure><\/a><\/div>\t\t\t<\/div>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Centre for Digital Entertainment\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The Centre for Digital Entertainment (CDE) is an EPSRC-funded Centre for Doctoral Training located at Bath and Bournemouth Universities. It offers a fully funded, four-year EngD programme. Postgraduate researchers collaborate closely with some of the world's most innovative high-tech companies, not just for short-term placements, but through full immersion, typically for three years. CDE's industry partners include leading animation, VFX, and games companies such as MPC, Ninja Theory, Double Negative, and Sony, as well as organizations that apply these skills in various sectors like the NHS, Perkin Elmer Ltd, and the National Trust. CDE provides exceptional and unique opportunities for both students and companies.\n\n\n\n\n\n\n\n\n\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Founded in 2009, CDE is the national Doctoral Training Centre in these sectors with \u00a320 million of investment taking us through to 2023. We are a big and supportive CDE family working alongside some of the most outstanding companies in the world.\n\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tRead more details<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Intelligent Virtual Personal Assistant (Intel-PA)\n\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The \"Intelligent Virtual Personal Assistant\" (Intel-PA) is a BU Doctoral Training Centre (DTC) focusing on AI-powered conversational animated Virtual Humans. The Intel-PA research theme builds on the research strengths of BU\u2019s National Centre for Computer Animation (NCCA), namely computer animation, simulation, and visualization, by leveraging it with Conversational Artificial Intelligence (Conversational AI). Intel-PA aims to significantly elevate the believability and user-friendliness of existing virtual humans. This DTC is founded on the academic excellence and operational experience of the Centre for Digital Entertainment (CDE) \u2013 our multi-million-pound EPSRC-funded doctoral training centre operated for over 15 years. Six match-funded PhDs will form the initial two BU CDE cohorts starting 2020 and 2021, tackling the fundamental research issues and applications of the Intelligent Virtual Personal Assistant.<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Current (Intel-PA) Projects<\/b>\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Machine Learning For Discerning Paralingual Aspects of Speech Using Prosodic Cues\n\n\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Efficient Generation Of Conversational Databases \u2013 Conversational AI Technologies For Digital Virtual Humans\n\n\n\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Intelligent Dialogue System For Automatic Diagnosis\n\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Editing And Animating Implicit Neural Representations\n\n\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Emotionally Expressive Speech Synthesis\n\n\n\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Common Sense\nReasoning For\nConversational AI\n\n\n\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Continuous Learning In Natural Conversation Generation<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Jian J Zhang is Professor of Computer Graphics at the National Centre for Computer Animation (NCCA), Bournemouth University where he leads the National Research Centre. He has worked at various universities including Bristol University, University of Newcastle upon Tyne, Chongqing University, Queens University of Belfast and Brunel University. As Principle Investigator, Prof Zhang has brought […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-canvas.php","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-7105","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/jzhang.bournemouth.ac.uk\/index.php?rest_route=\/wp\/v2\/pages\/7105","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jzhang.bournemouth.ac.uk\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/jzhang.bournemouth.ac.uk\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/jzhang.bournemouth.ac.uk\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/jzhang.bournemouth.ac.uk\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=7105"}],"version-history":[{"count":664,"href":"https:\/\/jzhang.bournemouth.ac.uk\/index.php?rest_route=\/wp\/v2\/pages\/7105\/revisions"}],"predecessor-version":[{"id":8999,"href":"https:\/\/jzhang.bournemouth.ac.uk\/index.php?rest_route=\/wp\/v2\/pages\/7105\/revisions\/8999"}],"wp:attachment":[{"href":"https:\/\/jzhang.bournemouth.ac.uk\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7105"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}