[Source: rdn-consulting]
| Past news » 03/2024: I will give public talk on Generative AI at Vietnam National University - HCM on the occasion of signing strategic MoU with Deakin University. » 03/2024: I will give talk at University of Science - HCM on "AI in the post-deep learning era". » 11/2023: I will give talk at DAIRNet Defence AI Seminar Series on "Generative AI: Shifting the AI landscape". » 11/2023: I will give talks at 2023 Defence Human Sciences Symposium on "Multimodal Generative AI" & "UNITED for multichannel temporal data". » 10/2023: I will deliver a keynote at PRICM11, Nov 2023 on "Generative AI for materials discovery". » 01/2023: PhD scholarships available for 2023 intake. Areas: multiagent reinforcement learning, physics-informed ML, deep reasoning, human-compatible AI, AI for energy storage. » 08/2022: I will delivered an invited talk at ACOMPA, Nov 2022. » 04/2022: PhD scholarships available for late 2022 intake. Areas: multiagent reinforcement learning, physics-informed ML, and drug discovery. » 11/2021: I will delivered an invited talk at ICONIP, Dec 2021. » 11/2021: I delivered a keynote speech at AI NOW Conference, Nov 2021. » 09/2021: PhD scholarships available for 2022 intake. Areas: machine reasoning, vision + NLP integration, multiagent reinforcement learning, and drug discovery. Update 4/2022: Minh-Thang Nguyen is joining the team. » 06/2021: My team will deliver a tutotrial at KDD, Agust 2021. » 06/2021: My team will deliver a tutotrial at IJCAI, Agust 2021. » 04/2021: My team will deliver a tutotrial at ECML-PKDD, Sept 2021. » 02/2021: I will deliver a keynote speech at FPT AI Conference, August 2021. » 10/2020: I will deliver a tutorial at IEEE SSCI 2020 on Deep Learning 2.0, four years after the first Deep Learning tutorial in 2016! » 09/2020: My ex-PhD student, now Dr Hung Le, won Deakin Thesis Award. » 08/2020: I have created a Covid-19 response page. » 08/2020: I gave a research talk at Monash University on machine reasoning. » 05/2020: I will talk at the Webminar organized by Vietnamese Academic Network in Japan (VANJ), on the role of AI to combat Covid-19. » 04/2020: PhD scholarships available for late 2020 intake. Areas: Deep learning 2.0, machine reasoning, computer vision, reinforcement learning, and ML for biomedicine. Update 1/2021: Kha Pham and Hoang-Anh Pham are joining the team. » 12/2019: I will deliver a public lecture at Swinburne Vietnam on AI for tackling climate change, Hanoi, Dec 2019. » 09/2019: I will speak at VietAI Summit on AI for Drug Discovery, HCM City Nov 2019. » 07/2019: I will give a keynote talk at NICS, Hanoi Dec 2019. » 06/2019: PhD scholarships available for late 2019 intake. Areas: deep learning, machine reasoning, reinforcement learning, Bayesian optimization. Update 1/2020: Hoang-Long Dang, Hung Tran and Minh-Tri Nguyen are joining the team. » 06/2019: I gave an invited talk at Genomic Medicine, Hanoi June 2019. » 06/2019: I gave an invited talk at VinAI's AI Day, Hanoi June 2019. » 05/2019: I gave an invited talk on Empirical AI Research at International University, HCM City, May 2019. » 04/2019: I will speak at Southeast Asia Machine Learning (SEA ML) School in July 2019. Hope to see you in Depok, Greater Jakarta, Indonesia. » 02/2019: I will give a keynote speech at MAPR in HCM City, Vietnam in May. The topic will be about representation learning of graphs. » 01/2019: I gave a talk on "AI for matters" at Phenikaa University, Hanoi, VN. » 01/2019: I gave a talk on "Deep learning for biomedicine: Genomics and drug design" at Vin's Big Data Insitute, Hanoi, VN. » 01/2019: TechXplore covers the upcoming ICSE'19 paper on AI for agile project management. » 11/2018: A postdoc wanted to work on Deep Learning and Beyond. Requirements: PhD + proven track record in machine learning and related areas. » 10/2018: More PhD students wanted for early 2019 intake. Areas: Deep learning & Bayesian optimization. Update 01/11/2018: Xuan-Duc Nguyen (from VNU, Hanoi) is joining the team! » 08/2018: I delivered an invited talk on "Advances in Neural Turing Machines" at CafeDSL, University of Wollongong, Australia. » 08/2018: Two postdocs wanted to work on AI (Machine learning, reinforcement learning). Requirements: PhD + proven track record in machine learning and related areas. » 07/2018: A postdoc wanted to work on Deep Learning and NLP. Requirements: PhD + proven track record in NLP and related areas. Update 20/09/2018: TRAN, Van-Khanh from JAIST, Japan is joining the team as a postdoc in NLP! » 06/2018: I delivered an invited talk on "Deep learning for astronomy" at Harley Wood School for Astronomy, Ballarat, Australia. » 06/2018: I will deliver a tutorial on "Deep learning for biomedical discovery and data mining" at PAKDD'18, Melbourne, Australia. » 03/2018: More PhD students wanted for late 2018 intake. Areas: Deep learning & Bayesian optimization. Apps: vision, molecular, biomedical and materials sciences. Update 18/05/2018: Dung Nguyen from UNIST, Korea and Le Minh-Thao from TIT, Japan are joining the team! » 12/2017: A new organization formed to advance AI and transform life: Applied Artificial Intelligence Institute (A2I2). Super exciting years ahead! » 11/2017: More PhD students wanted for 2018 intake. Areas: Deep learning & Bayesian optimization. Apps: vision, molecular, biomedical and materials sciences. Update 22/03/2018: Romero Barata from UFPE, Brazil and Tin Pham from JAIST, Japan are joining the team! » 11/2017: I will deliver a tutorial on "Deep learning for biomedicine" at ACML'17, Seoul, Korea. » 10/2017: Postdocs wanted to work on AI (Deep learning, reinforcement learning, Bayesian optimization). Requirements: PhD + proven track record in machine learning and related areas. Update 22/03/2018: Anh-Cat Le-Ngo (University of Nottingham, UK) & Hung Tran-The (NICT, Japan) are joining the team! » 5/2017: I will serve as a Program Chair of the 8th International Conference on Computational System-Biology and Bioinformatics (CSBIO'17). » 3/2017: Deakin-Gavarn Joint Research Program rolled out. Excited to join effort to unlock the secret of life. » 2/2017: A postdoc wanted to work on deep learning in computer vision. Requirements: PhD + proven track record in computer vision and familiarity with deep learning. Update 25/9/2017: Vuong Le is joining the team from Amazon. » 2/2017: More PhD students wanted for 2017 intake. Update 28/8/2017: Hung Le & Tung Hoang have joined the team. » 2/2017: I will travel to Amazon Seatle to give a talk on our recent work on deep learning for healthcare. » 1/2017: I delivered an invited talk on "Deep learning for detecting anomalies and software vulnerabilities" at Academy of Cryptography Techniques, Hanoi, Vietnam. » 1/2017: I delivered an invited talk on "Deep architecture engineering" at Hanoi Uni of Sci and Tech (HUST) and VNU Uni of Eng and Tech (VNU-UET). » 12/2016: My student, Kien Do, won Best Student Runner-up Paper Award at ADMA'16 in Gold Coast, Australia. » 12/2016: I delivered a tutorial on deep learinng for non-cognitive domains at AI'16 and AusDM'16. Slides and resources are available. » 12/2016: Nafosted grant won (2 years, with colleagues in Vietnam). » 11/2016: Cerebral Palsy Alliance grant won (1 year). » 9/2016: A postdoc wanted to work on deep learning in software. Requirements: PhD + proven track record in machine learning with familiarity with deep learning. » 8/2016: Samsung grant won (1 year, with Uni of Wollongong colleagues). » 2/2016: More PhD students wanted for late 2016 intake. » 11/2015: PhD students wanted for early 2016 intake. Update 4/2016: Kien Do joined the team. » 8/2015: A postdoc wanted to work on deep learning for healthcare. Update 3/2016: Dr Phuoc Nguyen joined the team. » 8/2015: Shivapratap Gopakumar won two prizes (Runner-up and People's Choice) at the Three Minute Thesis Challenge at Deakin. [Video] » 5/2015: My student, Shivapratap Gopakumar, won the Best Student Paper Runner-up at PAKDD'15. » 5/2015: My paper with collaborators at Uni of Wollongong won ACM SIGSOFT Distinguished Paper Award at MRS'15 - Random forests for delay prediction in software projects. » 3/2015: Web searches may predict disease risk among populations (Reuters). » 2/2015: Numbers key to sucide risk (Geelong Advertiser). » 12/2014: PhD students wanted for 2015 intake. » 12/2014: I won a 2014 CRESP Best Research Paper Award (Early Career, shared with Dr Bregje van Spijke from ANU). » 10/2014: Machines learn to pick up the cues (Deakin press release). » 4/2014: I'm now a Kaggle Master. » 4/2014: Tu and I landed the third position in the Galaxy Zoo challenge. » 12/2013: Our team won Geelong Chamber of Commerce Smart Technology Award for suicide prediction work. » 12/2013: Svetha won Smart Geelong Researcher of the Year Awards 2013. |