Liwei Deng- Autonomous Driving- Best Researcher Award

Liwei Deng- Autonomous Driving-Best Researcher Award

Prof. Liwei Deng distinguished academic and researcher in the field Autonomous Driving. 

🌐 Professional Profile

Educations📚📚📚

He holds a Ph.D. in Control Science and Engineering from the Harbin Institute of Technology, Harbin, China, which he earned in 2014. His dissertation focused on “Control Theory and Its Applications of Fractional Order Sliding Mode” under the supervision of Professor Shenmin Song. Prior to this, he completed a Master of Science in Control Theory and Control Engineering at Harbin University of Science and Technology in 2010, where his thesis was titled “Pressure Data Acquisition and Control System Based on ARM,” supervised by Professor Junshan Gao. He began his academic journey with a Bachelor of Engineering in Automation from Jiamusi University, Jiamusi, China, graduating in 2007.

 Experience:

He began his academic career as a Lecturer in the School of Automation at Harbin University of Science and Technology, serving from October 2014 to August 2018. Following this, he was promoted to Associate Professor within the same school, a role he held from August 2018 to August 2023. In September 2023, he was further promoted to the position of Professor at the School of Automation. Additionally, since May 2023, he has been serving as a Doctoral Supervisor in the School of Computer Science and Technology at Harbin University of Science and Technology.

Projects 

He has been actively involved in various research projects over the years. From 2021 to 2024, he led the Key R&D Program Guidance Projects of Heilongjiang Province (Grant No. GZ20210065), focusing on the development of intelligent winding equipment for hydrogen cylinders based on robots. As the Principal Investigator for the National Science Foundation for Young Scientists of China (Grant No. 61806060) from 2019 to 2021, he researched diabetic retinal image analysis algorithms using fractional order differential and deep learning. During the same period, he also served as Principal Investigator for a project funded by the Natural Science Foundation of Heilongjiang Province, China, which focused on the key technology of defect detection of wind turbine blades based on images taken by unmanned aerial vehicles. From 2017 to 2020, he was the Principal Investigator for the Harbin Program of Science and Technology (Grant No. 2017RAQXJ006), which aimed to develop key technologies for the automatic production line for rubber bridge bearing members. Additionally, he played significant roles in several other projects, including being a Principal Participant in the National Natural Science Foundation of China project (Grant No. 61174037) on distributed motion autonomous coordination control of on-orbit multi-spacecraft expectation mode (2011-2015), a Participant in the State Key Program of National Natural Science of China (Grant No. 61333003) on coordination control technology for networked satellite clusters (2012-2016), and a Principal Participant in a project funded by the Natural Science Foundation of Heilongjiang Province, China (Grant No. F030101) on the dynamic morphology of hyperchaotic attractors (2013-2016).

📝🔬Publications📝🔬

    • Deng, L., Zou, Y., Yang, X. et al. L2NLF: a novel linear-to-nonlinear framework for multi-modal medical image registration[J]. Biomed. Eng. Lett.(2024).(WOS:001139763600001)
    • Deng, L., Lan, Q., Zhi, Q. et al. Deep learning-based 3D brain multimodal medical image registration[J]. Med Biol EngComput .2024,62: 505–(WOS:001098686900001)
    • Biao Zhang, Sheng Wang, Liwei Deng, et al.Ship motion attitude prediction model based on IWOA-TCN-Attention[J].Ocean Engineering,2023,272:113911
    • Liwei Deng, Henan Sun, Jing Wang, et al.A Novel Unsupervised MRI Synthetic CT Image Generation Framework with Registration Network[J].CMC-Computers, Materials & Continua,2023,77(2):2271–(WOS:0011269599000 24)
    • Liwei Deng, Zhen Liu,Jiandong Wang et al.ATT-YOLOv5-Ghost: Water surface object detection in complex scenes[J].Journal of Real-Time Image Processing,2023,20:97.(WOS:001050358900001)
    • LiweiDeng,ShanshanLiu,WeiShi,et al.Defect Detection and Classification of Offshore Wind Turbine Rotor Blades[J].Nondestructive Testing and Evaluation,2023.(WOS:001025791800001)
    • Yuheng Yin, Yangang Guo, Liwei Deng, et al.Improved Pspnet-Based Water Shoreline Detection in Complex Inland River Scenarios[J]. Complex & Intelligent Systems, 2022,9(1): 233-245.(WOS:000816995100001)
    • Liwei Deng, Yue Wang, Qi Lan,etal.Remote sensing image building change detection based on efficient-UNet++[J].Journal of Applied Remote Sensing,2023,17(3):034501.(WOS:00177860300006)
    • Liwei Deng, He Cao,QingboDong,etal.Semi-Supervised Lane Detection for Continuous Traffic Scenes[J].Traffic Injury Prevention.2023,24(6):452-457.(WOS:001008469300001)
    • Liwei Deng, Yanchao Zou, SijuanHuang,et al. Deformable 3D Medical Image Registration with ConvolutionalNeural Network and Transformer[J].Journal of Instrumentation.2023,(18):P04029(WOS:000986658100 001)
    • Rui Zhang, Cong Xie, Liwei Deng. A Fine-Grained Object Detection Model for Aerial Images Based on Yolov5 Deep Neural Network[J]. Chinese Journal of Electronics, 2023, 32(1): 51-63.(WOS:000932261100001)
    • Liwei Deng, Yufei Ji, Sijuan Huang, et al.Synthetic CT generation from CBCT using Double-Chain-CycleGAN[J].Computers in Biology and Medicine.2023,106889.(WOS:001006917800001)
    • Liwei Deng, JiandongWang, Zhen Liu. Cascaded Network Based on EfficientNet and Transformer for Deepfake Video Detection[J].Neural Processing Letters.2023.(WOS:000961765200002)
    • Liwei Deng, QiangZhi, Sijuan Huang, et al. A Deformable Patch-based Transformer for 3D Medical Image Registration[J].International Journal of Computer Assisted Radiology and Surgery.2023.(WOS:000990481800001)
    • Liwei Deng, Yuanzhi Zhang, Xin Yang, et al. Meta-learning Multi-scale Radiology Medical Image Superresolution[J].CMC-Computers, Materials & Continua.2023,75(2) :2671-2684.(WOS:000980836000018)
    • Liwei Deng, Yuanzhi Zhang, Jing Wang, et al. Improving Performance of Medical Image Alignment through Super-resolution[J].Biomedical Engineering Letters.2023.(WOS:000934806000001)
    • LiweiDeng ,Mingxing Zhang , JingWang, et al.Improving Cone-Beam Ct Quality Using a Cycle-Residual Connection with a Dilated Convolution-Consistent Generative Adversarial Network[J]. Physics in Medicine & Biology, 2022,67(14): 145010.(WOS:000822102200001)
    • Liwei Deng, Jie Hu, Jing Wang, et al.Synthetic CT Generation Based on CBCT Using Respath-cycleGAN[J]. Medical Physics, 2022,49(8): 5317-5329.(WOS:000792418600001)
    • Zhe Yan, Shuchun Chu, Liwei Deng. Visual SLAM Based on Instance Segmentation in Dynamic Scenes[J]. Measurement Science and Technology.2021,32(9):095113.(WOS:000662668300001)

    Conference Papers

    • Liwei Deng*, Yuanzhi Zhang, Xiaofei Wang. High-definition Processing of Remote Sensing Images Based on CUT-CycleGAN[C], The 40th Chinese Control Conference, CCC 2021.( EI:20214311045982).
    • Liwei Deng*, YueWang, Jing Han. Optical Disc Location Based on Similarity toImproved Harris Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI:20214311046402).
    • Liwei Deng*, Hongfei Suo, Haonan Ren. Research on Tension Control System of Winding Machine Based on Fuzzy PID Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI:20214311045650).
    • Yuheng Yin, Yangang Guo, Liwei Deng*. Research on Image Processing Application of Improved Adaptive Filter Based on LPSO Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI:20214311045948).
    • Yanshu Jiang, Mingqi Jia, Biao Zhang, Liwei Deng. Malicious Domain Name Detection Model Based on CNN-GRU-Attention[C], The 33rd Chinese Control and Decision Conference, CCDC 2021.
    • Liwei Deng, Xiaofei Wang.A New Fracture Image Segmentation Method Based on MSA-k Clustering Algorithm[C], The 39th Chinese Control Conference, CCC 2020.( EI:20203909242340).
    • Liwei Deng,Jie Hu,Jingjing Qi. Super-Resolution Reconstruction of Finger Vein Image Based on Regression Tree Model[C],The 32nd Chinese Control and Decision Conference, CCDC 2020.( EI:20204009254996).

Cheryl E Praeger – Graph Network symmetry – Lifetime Achievement Award

Prof. Cheryl E Praeger  a distinguished academic and researcher in the field of Graph Network Symmetry .  Cheryl E Praeger is Emeritus Professor of Mathematics, retiring in 2017 after 40 years service to UWA. She now focuses on research and research supervision in Group Theory and Combinatorics, in her role as Senior Honorary Research Fellow. In addition she is a member of the National Science and Technology Council (2022-2025).

In 2021 she was appointed Companion of the Order of Australia “for eminent service to mathematics, and to teriary eduction, as a leading academic and researcher, to international organisations, and as a champion of women in STEM careers”. She had previously been appointed a Member of the Order (AM) in 1999.(Graph)

Professor Praeger has won many distinguished awards, recognising her as one of Australia’s leading mathematicians. Many of her roles and awards marked a first for a woman: President of the Australian Mathematical Society (1992-1994), Lyle Medal of the Australian Academy of Science (2013, first awarded in 1935).

 

Eduvation

prof. Cheryl E Praeger  earned her Bachelor of Science with Honors in Mathematics from the University of Queensland, Australia, in 1970. Following that, in 1972, she pursued dual Master’s degrees, obtaining one from the University of Oxford, UK, and another from the University of Queensland, Australia. In 1973, she achieved her Doctor of Philosophy (D.Phil) degree from the University of Oxford, UK. Later in 1989, she furthered her academic achievements by earning a Doctor of Science (D.Sc) from the University of Western Australia. With a rich educational background spanning (Graph) multiple prestigious institutions, she has demonstrated a commitment to scholarly pursuits and academic excellence throughout her career.

Professional Profiles:

Awards

Professor Praeger was also the first pure mathematician, and the first Western Australian to receive the Prime Minister’s Prize for Science (2019); the first pure mathematician to win an ARC Federation Fellowship (2007-2012), or be named as WA Scientist of the Year (2009), or be inducted into the Western Australian Science Hall of Fame (2015). She is the inaugural recipient of the Ruby Payne-Scott Medal of the Australian Academy of Science (1921).

Over the span of 2009 to 2023, she has garnered a remarkable array of awards and distinctions, showcasing her outstanding contributions to the fields of science and mathematics. Notably, in 2023, she was honored as a Fellow of the International Science Council. In 2021, she received the prestigious Ruby Payne-Scott Medal from the Australian Academy of Science and was appointed a Companion of the Order of Australia (AC).(Graph)

Her global recognition includes being named a Kirk Distinguished Visiting Fellow at the Isaac Newton Institute in Cambridge, UK, in 2020. Among her numerous accolades, she was awarded the (Australian) Prime Minister’s Prize for Science in 2019 and received an Honorary Doctorate from Primorska University in Slovenia in 2018. Her influence extends worldwide, with honors such as the Mehdi Behzad Prize from the Iranian Mathematical Society in 2015 and being named a Fellow of the American Mathematical Society in 2012. These distinctions underscore her exceptional impact on the scientific community and her commitment to advancing knowledge and education.

Research

Professor Praeger’s research is on the theory of group actions and their applications in Algebraic Graph Theory and to Combinatorial Designs and other areas of Discrete Mathematics and Geometry; and algorithms for group computation including questions in statistical group theory and algorithmic complexity. Her mathematical work has been published in more than 400 journal articles and five monographs.

Her list of Publications can be found at https://cherylpraeger.github.io/research.html

A discussion website for her book ‘Permutation groups and cartesian decompositions’ with Csaba Schneider in 2018 by Cambridge University Press is here:  https://schcs.github.io/WP/index.php/book/

Current projects

  • ARC Discovery project (DP200100080) Exceptionally symmetric combinatorial designs (2020-2023)
  • ARC Discovery project (DP190100450) Complexity of group algorithms and statistical fingerprints of group (2019-2022)
  • Isaac Newton Institute Cambridge, (supported by EPSRC grant no. EP/R014604/1) Groups, representations and applications: new perspectives (2020; and 2022)

Selected Academic Services and Functions (2009-2022)

From 2009 to 2022, she has been actively engaged in various prestigious academic roles and functions. Notably, she served as the Chair of the Australian Council of Heads of Mathematical Sciences from 2009 to 2011 and later contributed as a member of several international committees and councils. Her involvement extended to the Australian Academy of Science, where she held the position of Foreign Secretary from 2014 to 2018, and she was a member of the Australian Government’s National Science and Technology Council from 2022 to 2025. Additionally, she made significant contributions to the global scientific community, participating in committees such as the International Mathematical Union Committee for Women in Mathematics and the Committee for Freedom and Responsibility in Science under the International Science Council. Her leadership was evident as the Chair of Subpanel 18 on the Program Committee for the International Congress of Mathematicians from 2015 to 2018 and as a member of various executive boards and committees advocating for the representation of women in science and engineering. Through her roles, she has played a crucial part in shaping international scientific collaboration and promoting diversity in mathematical disciplines.

Previous positions

Prior to appointment at The University of Western Australia she held a Research Fellowship at the Australian National University and taught for a semester at the University of Virginia. She taught in the Mathematics and Statistics program at UWA and was Head of the Department of Mathematics 1992-1994, inaugural Dean of Postgraduate Research Studies 1996-1998, Chair Promotions and Tenure Committee 2000-2004, Deputy Dean of the Faculty of Engineering Computing and Mathematics 2003-2006, ARC Professorial Fellow 2007, and Inaugural Director of the UWA Centre for the Mathematics of Symmetry and Computation 2010-2013.

Previous positions

  • Australian Mathematical Olympiad Committee, Chair (1999-2019), Deputy Chair (1996-98, 2020),   https://www.amt.edu.au/olympiad-committees
  • Committee for the Freedom and Responsibility in Science, International Science Council (2019-2022) https://council.science/what-we-do/
  • Executive Board AASSA (Association of Academies and Societies for scinces in Asia) (2016-2021) https://aassa.asia/ and  Special Committee for Women in Science and Engineering (Chair 2016-2021, ex-officio member 2022-2024)

Publication

A classification of the maximal subgroups of the finite alternating and symmetric groups

MW Liebeck, CE Praeger, J Saxl
Journal of Algebra 111 (2), 365-383 –

Finite transitive permutation groups and bipartite vertex-transitive graphs

CE Praeger
Illinois Journal of Mathematics 47 (1-2), 461-475 – 2003

Line graphs and -geodesic transitivity

A Devillers, W Jin, CH Li, CE Praeger
arXiv preprint arXiv:1201.4297 – 2012

On imprimitive rank 3 permutation groups

A Devillers, M Giudici, CH Li, G Pearce, CE Praeger
Journal of the London Mathematical Society 84 (3), 649-669

On normal 2-geodesic transitive Cayley graphs

A Devillers, W Jin, CH Li, CE Praeger
Journal of Algebraic Combinatorics 39, 903-918

 

Hayatullah Mushwani – Graph Analytics -Graph Analytics Research Excellence Award

Mr. Hayatullah Mushwani a distinguished academic and researcher in the field of Graph analytics. He is a dedicated lecturer at Kabul University in the Environmental Faculty’s Department of Disaster Management, specializing in the comprehensive study of disasters. Holding both Bachelor’s and Master’s degrees in Disaster Management, his academic journey has been driven by a passion for understanding and addressing complex challenges. His research pursuits are anchored in the critical domains of disasters, focusing on risk assessment, evaluation, education, climate change, Disaster Risk Reduction (DRR), and the pivotal role of early warning systems. He aims to contribute significantly to the field through insightful research and by nurturing the next generation of disaster management professionals.

 

Eduvation

In May 2023, he completed his Master of Disasters Preparedness, Mitigation, and Management at the Asian Institute of Technology (AIT) in Bangkok, Thailand. The program covered a diverse range of subjects, including disaster management, natural resource management, environmental protection, conflict resolution, climate change, monitoring and evaluation, and humanitarian need assessment. Prior to his master’s degree, he earned his Bachelor of Environmental Science from the Environmental Science Faculty at Kabul University in Kabul. His undergraduate studies focused on crucial areas such as disasters risk reduction, risk assessment, research methodology, and environmental protection. With this comprehensive educational background, he is well-equipped to contribute significantly to the field of disaster management, leveraging his expertise in various aspects of preparedness, mitigation, and environmental sustainability.

Professional Profiles:

Short Term Trainings

He holds a membership at the Acquaint Humanitarian organization in the United States of America (USA), bringing a diverse and extensive background in outcome-based learning and disaster management training. In 2019, he completed Outcome-based Learning Education Training at Kabul University, demonstrating a commitment to effective education practices. Subsequently, in 2021, he acquired School Safety Training and participated in Disaster Resilience programs conducted by the Ministry of Home Affairs, Government of India. Expanding his expertise globally, he pursued Disaster Risk Reduction studies at the Faculty of Geography, University Gadiah Mada in Indonesia in 2022. The same year, he further enriched his knowledge through Disaster Management Training at Kyoto University, Japan. In 2023, he focused on addressing contemporary challenges, completing Harassment Training at the Asian Institute of Technology (AIT) in Thailand. Additionally, he delved into Disaster Risk Reduction based on Q-GIS at CWSA, Japan, showcasing a dedication to staying current with the latest advancements in disaster preparedness and humanitarian efforts.

AREAS OF INTEREST

Disaster Management, Natural Resource Management, Environmental Protection, Risk Assessments,
Humanitarian Assistance Management, Education and WASH displaced communities by conflict and natural
hazard, Resources Governance and Management, M&E.

AREAS OF EXPERTISE

waste Management, Climate change and food security, mining, DRR and Development,

HONOR

He has earned a series of honors and accolades, underscoring his commendable contributions in various domains. In 2019, he received a Letter of Appreciation from the Sharq Higher Education Institute in Kabul, Afghanistan, recognizing him as the Best Lecturer. This acknowledgment reflects his commitment to excellence in education. In 2022, he garnered another Letter of Appreciation from Loaita, Singapore, commending his outstanding performance on a Habitat for Humanity project, showcasing his dedication to community service.

His prowess as a lecturer was once again acknowledged in 2019 by the Sharq Higher Education Institute in Kabul, Afghanistan. More recently, in 2023, he received a Letter of Appreciation from the Acquaint organization in the USA, recognizing him as the Best Volunteer in Human Rights, highlighting his active involvement in humanitarian efforts. Additionally, REST Publisher in India acknowledged his expertise in 2023, presenting him with a Letter of Appreciation for his role as the Best Articles Evaluator, showcasing his proficiency in the evaluation of scholarly work. These honors collectively attest to his multifaceted contributions and commitment to excellence in various fields.

WORK EXPERIENCE

(2018 – Up to Now) Assistant Professor at Disaster Management Department Kabul University, Kabul (https://ku.edu.af) ▪ Delver Lecturers to Disasters Management, Natural Resource Management, and Environmental Protections Department students ▪ Head of Faculty of Environment Examination committee ▪ Member of the Cultural committer at Environment Faculty, Kabul University ▪ Member of the Research Committee at Environment Faculty, Kabul University ▪ Member of the Electronic committee at the Environment Faculty, Kabul University Conducted Research, Plan, and Policy Development, and Training delivers (2022 – TO March 2023)

Publication
  • MULTI-HAZARD RESILIENCE OF HIGHER EDUCATIONAL INSTITUTIONS IN ASIA PACIFIC                                                  2023 | Book chapte   CONTRIBUTORS: Hayatullah Mushwani
  • The Current State of Early Warning System in South Asia: A Case Study of Afghanistan                                               International Journal of Disasters Risk Reduction

    2023-12-17 | Review
    CONTRIBUTORS: Hayatullah Mushwani; Mokbul Morshed Ahmad; kawoon sahak; Mohammad Haroon Hairan
  • Review of Afghanistan’s Economic Development Status during Republic Government (from 2001-2021)                   

    International Journal of Multiculturaland Multireligious Understanding
    2023-03-03 | Review
    CONTRIBUTORS: Hayatullah Mushwani
  • The current state of early warning system in South Asia: A case study of Afghanistan
  •  Chitral Gol National Park; A paradise or threat for biodiversity conservation and socioeconomic conditions of local societies
  •  Afghanistan Economic Development review from 2000 to 2022
  • ▪ Evaluation of Drought Socio-economic Impacts in the Central Region of Afghanistan