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List of Confirmed Speakers

 

davide_scaramuzza

Prof. Davide Scaramuzza

Davide Scaramuzza (1980, Italian) is Professor of Robotics at the University of Zurich, where he does research at the intersection of robotics and computer vision. He did his PhD in robotics and computer vision at ETH Zurich with Roland Siegwart and a postdoc at the University of Pennsylvania with Vijay Kumar and Kostas Daniilidis. From 2009 to 2012, he led the European project “sFly”, which introduced the world’s first autonomous navigation of micro drones using visual-inertial sensors and onboard computing. For his research contributions, he was awarded an SNSF-ERC Starting Grant, the IEEE Robotics and Automation Early Career Award, and a Google Research Award. He coauthored the book “Introduction to Autonomous Mobile Robots” (published by MIT Press) and more than 80 papers on robotics and perception. In 2015, three of his lab members co-founded a venture, called Zurich-Eye, dedicated to the commercialization of visual-inertial navigation solutions for mobile robots. In September 2016, this became Facebook-Oculus R&D Switzerland. For more details, visit his homepage.


Javier Civera

Prof. Javier Civera

Javier Civera was born in Barcelona, Spain, in 1980. He received his Ph.D. degree in 2009, from the University of Zaragoza in Spain. He is currently an Associate Professor at the University of Zaragoza, where he teaches courses in computer vision, machine learning and control engineering. He has leaded or participated on more than 30 EU-funded, national and technology transfer projects related with vision and robotics. He has been funded for research visits to Imperial College (London) and ETH (Zürich). He has coauthored more than 30 publications in top conferences and journals, receiving over 2,200 references (GoogleScholar). Currently, his research interests are in the use of 3D vision, distributed architectures and learning algorithms to produce robust and real-time vision technologies for robotics, wearables and AR applications. For more details, visit his homepage.


simon_lucey

Dr. Simon Lucey

Simon Lucey is an Associate Research Professor within the Robotics Institute at Carnegie Mellon University. Prior to this he was an Australian Research Council (ARC) Future Fellow (2009-2013) and a Principal Research Scientist at Australia’s national science agency the Commonwealth Scientific and Industrial Research Organisation (CSIRO). Simon leads the CI2CV laboratory (www.cs.cmu.edu/~CI2CV), one of the leading groups in the world for mobile computer vision – the group explores problems that intersect between signal processing, computer vision and machine learning. He received his Ph.D. in 2003 from the Queensland University of Technology, Australia. To his credit he has over 100 peer reviewed publications. He has served as Area Chair for conferences like CVPR, ACCV, F&G, and ICPR. He has organized and chaired numerous workshops, tutorials and summer schools in both the Computer Vision and Machine Learning communities. He has also previously served as Associate Editors for both the IEEE Trans. on Affective Computing & the IEEE Trans. on Multimedia. For more details, visit his homepage.


chris_mccool

Dr. Chris McCool

 Chris McCool is a research fellow within the Robotics and Autonomous Systems (RAS) discipline at the Queensland University of Technology. Dr McCool’s research interests lie in the development of novel methods for applied computer vision and pattern recognition to solve challenging tasks in real-world environments. A particular focus of his research has been on enabling robots to perform autonomous operations in Agriculture, as part of the Strategic Investment in Farm Robotics (SIFR) program at QUT. For more details, visit his homepage.


hongdong_li

Prof. Hongdong Li

Dr. Hongdong Li is a Chief Investigator and AA Program Leader for the Australia ARC Centre of Excellence for Robotic Vision (ACRV). He is a also a Reader with the CVR (Computer Vision and Robotics) Group, College of Engineering and Computer Science, the Australian National University (ANU). He is a leading researcher in the field of 3D Computer Vision. He served as Area Chair for most major leading international conferences in Computer Vision, including CVPR, ICCV, ECCV, and BMVC. His main research interests are 3D modelling, camera geometry and 3D reconstruction, machine learning, robot navigation (e.g., autonomous driving), and optimisation. He is an Associate Editor for IVC (Image and Vision Computing, journal) and Associated Editor for IEEE Transactions on PAMI (T-PAMI is the No. 1 journal over all computer science and electrical engineering). Dr. Li has published over one hundred papers in major journals and conferences. He was a winner of the prestigious IEEE CVPR Best Paper Award, ICPR Best Student Paper Award, the ICIP Best Student Paper Award, and several other best paper awards (CiSRA Prize and DSTO, VOT tracker awards etc.). His researches are funded by the Australia Research Council (ARC), ARC Centre of Excellence program and many global ICT companies including Microsoft Research, General Motors, Toshiba and Omron etc. For more details, visit his homepage.


sebastien_rougeaux

Dr. Sebastien Rougeaux

Sebastien Rougeaux is a co-founder of Seeing Machines and is currently its Chief Scientist for Machine Intelligence. He leads the computer vision and machine learning research with particular expertise in face and gaze tracking, and contributes to algorithm, product and business development as well as IP management. He was a post-doctorate fellow at the Research School of Information Science and Engineering of the ANU. He obtained his Ph.D. in robotics and computer vision from the University of Evry in France in 1999 for research done in Japan on the active vision system of humanoid robots. For more details, visit his homepage.


viorela_ila

Dr. Viorela Ila

Viorela Ila is a Senior Research Fellow with the ARC Centre of Excellence for Robotic Vision (ACRV) at the Australian National University (ANU). Her research interests span from robot vision to advanced techniques for simultaneous localization and mapping (SLAM) and 3D reconstruction based on cutting-edge computational tools such as graphical models, modern optimization methods and information theory. She received the Engineering degree in Computer Science and Automation from the Technical University of Cluj-Napoca, Romania, in 2000 and the Ph.D. in Information Technologies from the University of Girona, Spain, in 2005. After the PhD studies, Dr. Ila joined the Robotics group at the Institut de Robótica i Informàtica Industrial, Barcelona, Spain. Her post-doctoral research was supported by “Juan de la Cierva” early career grant. In 2009 She was awarded the MICINN/FULBRIGHT post-doctoral fellowship, which allowed her to join the group of Prof. Frank Dellaert at College of Computing, Georgia Tech, Atlanta US. In 2010, she joined the robotic group at LAAS-CNRS, Toulouse, France as a research scientist in the ROSACE project founded by RTRA-STAE (The Advanced Research Network on Science and Technology of Aeronautics and Space). Between 2012 and 2014 she was research scientist at Brno University of Technology in Czech Republic. Her research was published in eight journal papers, twenty-nine conference papers, in total having about 765 citations. She participated in seven Spanish, French and Czech national projects, four FP7 EU projects and one ACR Centre of Excellence. She is currently advising three PhD students and she was participating in the advising process of other three in the past. For more details, visit his homepage.


anders_eriksson

Dr. Anders Eriksson

Anders Eriksson is a QUT Vice-Chancellor’s Senior Research Fellow and was formerly a senior research associate in computer vision at the school of computer science, The University of Adelaide. He received his Masters of Science degree in Electrical Engineering in 2000 and his PhD in Mathematics in 2008 from Lund University, Sweden. His research areas include optimisation theory and numerical methods applied to the fields of computer vision and machine learning. For more details, visit his homepage.


basura_fernando

Dr. Basura Fernando

Dr. Basura Fernando is a research fellow at the Australian Centre for Robotic Vision (ACRV) and a lecturer at the Australian National University (ANU). He obtained PhD from VISICS group of KU Leuven, Belgium in March 2015. He has a European Erasmus Mundus Masters in Color in Informatics and Media Technology from the University of Saint-Etienne France and the Gjovik University Norway which he obtained in year 2011. He obtained BSc. in Computer Science & Engineering from the University of Moratuwa, Sri Lanka in 2007. He is interested in Computer Vision and Machine Learning research. He has published articles in TPAMI, IJCV, CVIU, and all major high impact Computer Vision Conferences such as CVPR, ICCV and ECCV. Has has authored more than 30 papers and contributed to highly cited work on statistical domain adaptation and action recognition. He is a regular reviewer for all major Computer Vision conferences and journals. He chaired the oral and spotlight session on CNN and Architectures in CVPR 2016. He recently co-organised a workshop about motion representation learning at the ECCV conference and was a member of program committee in Robotic Vision Summer School in 2016. He currently leads the Video Representation project of ACRV. For more details, visit his homepage.


trung_pham

Dr. Trung Pham

Trung Pham is a senior research fellow at the Australian Centre of Robotic Vision (ACRV), where he does research in computer vision and machine learning. He secured his PhD in computer vision in 2014 from the University of Adelaide, Australia. He was awarded a Google PhD Fellowship in 2012. His current research interests focus on computer vision and learning algorithms to produce semantic representations of the 3D environments from images for robotic applications. For more details, visit his homepage.


vincent_lui

Dr. Vincent Lui

Vicent Lui is a research fellow at the Monash node of the Australian Centre of Excellence for Robotic Vision (ACRV). His research interests lie in the areas of SLAM, 3D reconstruction, pose estimation, and Augmented Reality. He received his undergraduate degree from Monash University, Malaysia in 2011. He did his PhD from 2012-2016 under the supervision of Professor Tom Drummond at Monash University, where he investigated pose estimation techniques for monocular visual odometry and SLAM. 


juxi_leitner

Dr. Jurgen Leitner

Juxi is a researcher at Australian Centre of Excellence for Robotic Vision (ACRV) focussing on Robotics, Computer Vision and Artificial Intelligence. Currently he works on combining deep (reinforcement) learning, visual serving and manipulation to create robots that see and do things in real-world environments. He is the ACRV Team Leader for the Amazon Robotics Challenge, and led the team of undergraduate students to a 6th place in the Amazon Picking Challenge last year. Before joining the ACRV node at QUT he worked at the IDSIA Robotics Lab and received a PhD from the Università della Svizzera Italiana (USI) for his work on robotic learning for visual perception and actions on the iCub humanoid. Previously Juxi worked on Space Security and AI at the Advanced Concepts Team of the European Space Agency. He graduated in Space Robotics from the Joint European Master Programme (SpaceMaster) and holds a BSc in Computer Science (Software and Information Engineering). For more details, visit his homepage.


chuong_nguyen

Dr. Chuong Nguyen

Chuong Nguyen is a research fellow of the Australian Centre of Excellence for Robotic Vision, and a staff at the Research School of Engineering of the Australian National University (ANU). Previously, he worked for ANU Research School of Biology, CSIRO Computational Informatics and CRC Centre of Synchrotron Science at Monash University. His research interest include computer vision, 3D reconstruction for plants and insects, hyper spectral imaging, microscopic imaging, digital holography, and robotics. In 2014, he received an iAward for his development of a 3D scanner to create natural-color 3D insect mesh models for quarantine control, species identification and digital collection. Currently, he focuses on solving detection problems of transparent and reflective objects, such as water and glasses, in autonomous navigation. For more details, visit his homepage.


feras_dayoub

Dr. Feras Dayoub

Feras Dayoub is a research fellow with Australian Centre of Excellence for Robotic Vision (ACRV) at Queensland University of technology (QUT). His research interests are focused on enabling real mobile robots to operate persistently in challenging environments, environments that are real, complex and continually changing. In 2015, Feras was the computer vision lead on a project to enable mobile robots navigation in challenging shallow-water environments using an Autonomous Underwater Vehicle (AUV). The focus of the project was to use an AUV to control the population of crown-of-thorns starfish in the great barrier reef. The project was led by Dr Matthew Dunbabin. The project won the popular vote in the Google X challenge competition and was awarded $750,000AUD development grant. Feras is also part of the Queensland DAF Agricultural Robotics Program led by Prof. Tristan Perez in QUT, where he work on developing enabling robotics technologies for farm robotics. For more details, visit his homepage.

Name Location Role
Zongyuan GeQUTPhD Candidate
Zhibin LiaoUniversity of AdelaidePhD Candidate
Zetao “Jason” ChenQUTPhD Candidate
Yuchao JiangUniversity of AdelaidePhD Candidate
Yi “Joey” ZhouANUPhD Candidate
Yasir LatifUniversity of AdelaideResearch Fellow
Yan ZouMonashPhD Candidate
Xiaoqin WangMonashPhD Candidate
Will ChamberlainQUTPhD Candidate
Viorela IlaANUResearch Fellow
Vincent LuiMonashPhD Candidate
Vijay KumarUniversity of AdelaideResearch Fellow
Trung Than PhamUniversity of AdelaideResearch Fellow
Tristan PerezQUTAssociate Investigator
Tracy KellyQUTFinance & Administration Officer
Tong ShenUniversity of AdelaidePhD Candidate
Tom DrummondMonash UniversityChief Investigator
Tim MacugaQUTCommunications and Media Officer
Thuy MaiUniversity of AdelaideNode Administration Officer
Thanuja DharmasiriMonashPhD Candidate
Tat-Jun ChinUniversity of AdelaideAssociate Investigator
Sue KeayQUTChief Operating Officer
Stephen GouldANUChief Investigator
Sourav GargQUTPhD Candidate
Sean McMahonQUTPhD Candidate
Sareh ShiraziQUTResearch Fellow
Sarah AllenQUTNode Administration Officer, PA to Centre Director Professor Peter Corke
Ruth SchulzQUTResearch Fellow
Ross CrawfordQUTAssociate Investigator
Rodrigo Santa CruzANUPhD Candidate
Rob MahonyANUChief Investigator
Richard HartleyANUChief Investigator
Riccardo SpicaANUPhD Candidate
Qinfeng ShiUniversity of AdelaideAssociate Investigator
Philip TorrOxfordPartner Investigator
Peter KujalaQUTPhD Candidates
Peter CorkeQUTCentre Director
Peter AndersonANUPhD Candidate
Paul NewmanOxfordPartner Investigator
Niko SuenderhaufQUTResearch Fellow
Mike BradyOxfordCentre Advisory Committee
Michelle SimmonsUNSWCentre Advisory Committee
Michael MilfordQUTChief Investigator
Matt DunbabinQUTAssociative Investigators
Markus EichQUTResearch Fellow
Marc PollefeysETH ZurichPartner Investigator
Mandyam SrinivasanUniversity of QueenslandCentre Advisory Committee
Luis Mejias AlvarezQUTAssociate Investigator
Lin WuUniversity of AdelaideResearch Fellow
Laurent KneipANUAssociative Investigators
Khurrum AftabMonash UniversityResearch Fellow
Kate AldridgeQUTCentre Administrative Coordinator
Juxi LeitnerQUTResearch Fellow
Juan AdarveANUPhD Candidate
Jonghyuk KimANUAssociate Investigator
Jonathan RobertsQUTChief Investigator
John SkinnerQUTPhD Candidate
Jochen TrumpfANUAssociate Investigator
Jeffrey DevarajQUTPhD Candidate
Jason FordQUTAssociate Investigator
Jae-Hak KimUniversity of AdelaideResearch Fellow
Inkyu SaQUTResearch Fellow
Ian ReidUniversity of AdelaideDeputy Director
Hui LiUniversity of AdelaidePhD Candidate
Hugh Durrant-WhyteUniversity of SydneyCentre Advisory Committee
Hongdong LiANUChief Investigator
Gustavo CarneiroUniversity of AdelaideChief Investigator
Guosheng LinUniversity of AdelaideResearch Fellow
Greg LeeQUTExternal Engagement Coordinator
Gordon WyethQUTChief Investigator
Frank DellaertOxfordPartner Investigator
Francois ChaumetteInriaPartner Investigator
Feras DayoubQUTResearch Fellow
Fatih PorikliANUAssociate Investigator
Fangyi ZhangQUTPhD Candidate
Fahimeh RezazadeganQUTPhD Candidate
Edison GuoANUPhD Candidate
Donald DansereauQUTResearch Fellow
Dinesh GamageMonashResearch Fellow
David SuterUniversity of AdelaideAssociate Investigator
David HallQUTPhD Candidate
David BallQUTResearch Fellow
Dan RichardsQUTPhD Candidates
Clinton FookesQUTAssociate Investigator
Chuong NguyenANUResearch Fellow
Chunhua ShenUniversity of AdelaideChief Investigator
Chris McCoolQUTResearch Fellow
Chris LehnertQUTResearch Fellow
Chris JefferyQUTPhD Candidate
Bohan ZhuangUniversity of AdelaidePhD Candidate
Ben UpcroftQUTChief Investigator
Ben TalbotQUTPhD Candidate
Ben MeyerMonashPhD Candidate
Ben HarwoodMonashPhD Candidate
Basura FernandoANUResearch Fellow
Anton Van Den HengelUniversity of AdelaideChief Investigator
Anthony DickUniversity of AdelaideAssociate Investigator
Anoop CherianANUResearch Fellow
Anjali JaiprakashQUTResearch Fellow
Andrew SpekMonashPhD Candidate
Andrew EnglishQUTPhD Candidate
Andrew DavisonImperial College LondonPartner Investigator
Andres Felipe Marmol VelezQUTPhD Candidate
Anders ErikssonQUTResearch Fellow
Alex ZelinskyDefence Science and Technology OrganisationCentre Advisory Committee
Ajay PandeyQUTResearch Fellow
Ahmet SekerciogluMonash UniversityAssociate Investigator
Adam TowQUTPhD Candidate
Adam JacobsonQUTPhD Candidate