Guowen Xu | Commputer Security | Best Researcher Award

Posted on by ScienceFather

Prof. Guowen Xu, Commputer Security,  Best Researcher Award


Professor at University of Electronic Science and Technology of China, China

Prof. Guowen Xu is a renowned expert in cyberspace security, currently serving as a Professor at the School of Computer Science and Engineering at the University of Electronic Science and Technology of China (UESTC). He holds a Ph.D. in Cyberspace Security from UESTC, where he was supervised by IEEE Fellow Prof. Hongwei Li. He also completed a visiting Ph.D. program at Singapore Management University under the guidance of IEEE Fellow Prof. Robert H. Deng. Prof. Xu has held research fellow positions at Nanyang Technological University and postdoctoral positions at City University of Hong Kong, where he worked with IEEE Fellow Prof. Yuguang Fang. His research interests include applied cryptography, computer security, and AI security and privacy. He has received numerous accolades for his work, including being named one of the Stanford World’s Top 2% Scientists in 2023 and winning several best paper awards at prestigious conferences. Prof. Xu’s contributions to the field have been recognized internationally, and he continues to influence the development of advanced security technologies.

Profile:

Education:

Ph.D. in Cyberspace Security (2015/09 – 2020/12)

  • School of Computer Science and Engineering, UESTC
  • Supervisor: Prof. Hongwei Li (IEEE Fellow)

Visiting Ph.D. in Cyberspace Security (2019/08 – 2020/08)

  • School of Information Systems, Singapore Management University
  • Supervisor: Prof. Robert H. Deng (IEEE Fellow)

Bachelor of Information and Computing Science (2010/09 – 2014/06)

  • School of Mathematical and Physical Science, Anhui Jianzhu University (AHJZU)

Professional Experience:

Prof. Guowen Xu has a distinguished professional background in the field of cyberspace security. He is currently a Professor at the School of Computer Science and Engineering at the University of Electronic Science and Technology of China (UESTC), a position he has held since October 2024. Prior to this, he served as a Postdoctoral Fellow at the Department of Computer Science at City University of Hong Kong from May 2023 to October 2024, where he worked under the supervision of IEEE Fellow Prof. Yuguang Fang. Before his postdoctoral fellowship, Prof. Xu was a Research Fellow at the School of Computer Science and Engineering at Nanyang Technological University in Singapore from March 2021 to May 2023. His early academic career includes a visiting Ph.D. program at Singapore Management University from August 2019 to August 2020, supervised by IEEE Fellow Prof. Robert H. Deng. Prof. Xu’s extensive research experience and collaborations with leading scholars have significantly contributed to his expertise in applied cryptography, computer security, and AI security and privacy.

Research Interest:

Prof. Guowen Xu’s research interests are centered around the fields of applied cryptography, computer security, and AI security and privacy. His work focuses on developing innovative cryptographic techniques to enhance data security and privacy, particularly in the context of complex and evolving cyber threats. In the realm of computer security, he explores robust mechanisms to safeguard systems and networks from vulnerabilities and attacks. Additionally, Prof. Xu is deeply invested in the security and privacy aspects of artificial intelligence, investigating methods to protect AI systems from adversarial threats and ensure the ethical use of AI technologies. His interdisciplinary approach aims to address the pressing security challenges of the digital age, contributing to the advancement of safer and more resilient technological environments.

Awards and Honors:

  • 2023 Stanford World’s Top 2% Scientists
  • 2023 IEEE BigDataSecurity Best Paper Award
  • 2022-2024 Distinguished Reviewer of ACM Transactions on the Web
  • 2022 ECCV Online Registration Waiver Award
  • 2021 Wu Wenjun First Prize of Artificial Intelligence Science and Technology Progress
  • 2021 Outstanding Graduate Student of UESTC
  • 2021 Outstanding Graduate Student in Sichuan Province
  • 2021 IEEE INFOCOM Student Conference Award
  • 2020 IEEE ICPADS Best Paper Award
  • 2020 National Scholarship of Graduate Student (MOE of PRC, Top 1%)
  • 2020 First-class Scholarship of Graduate Student (UESTC, Top 1%)
  • 2019 SCF Best Student Paper Award (Sichuan Province Computer Federation)
  • 2019 National Scholarship of Graduate Student (MOE of PRC, Top 1%)
  • 2019 First-class Scholarship of Graduate Student (UESTC, Top 1%)
  • 2018 Network Security Scholarship of China Internet Development Foundation
  • 2018 National Scholarship of Graduate Student (MOE of PRC, Top 1%)
  • 2018 First-class Scholarship of Graduate Student (UESTC, Top 1%)
  • 2018 First-class Scholarship of Shenzhen Huiding Technology Co., Ltd (Top 1%)
  • 2018-2020 Excellent Student Award (UESTC)
  • 2018-2020 Excellent Graduate Student (UESTC)
  • 2016 Excellence Award of National Cipher Technology Competition

Publication Top Noted:

VerifyNet: Secure and Verifiable Federated Learning

  • Authors: G. Xu, H. Li, S. Liu, K. Yang, X. Lin
  • Journal: IEEE Transactions on Information Forensics and Security
  • Volume: 15
  • Pages: 911-926
  • Citations: 570
  • Year: 2020

Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence

  • Authors: M. Hao, H. Li, X. Luo, G. Xu, H. Yang, S. Liu
  • Journal: IEEE Transactions on Industrial Informatics
  • Volume: 16
  • Issue: 10
  • Pages: 6532-6542
  • Citations: 472
  • Year: 2019

Enabling Efficient and Geometric Range Query with Access Control over Encrypted Spatial Data

  • Authors: G. Xu, H. Li, Y. Dai, K. Yang, X. Lin
  • Journal: IEEE Transactions on Information Forensics and Security
  • Volume: 14
  • Issue: 4
  • Pages: 870-885
  • Citations: 192
  • Year: 2018

Towards Efficient and Privacy-Preserving Federated Deep Learning

  • Authors: M. Hao, H. Li, G. Xu, S. Liu, H. Yang
  • Conference: ICC 2019 – IEEE International Conference on Communications
  • Pages: 1-6
  • Citations: 178
  • Year: 2019

Privacy-Enhanced Federated Learning against Poisoning Adversaries

  • Authors: X. Liu, H. Li, G. Xu, Z. Chen, X. Huang, R. Lu
  • Journal: IEEE Transactions on Information Forensics and Security
  • Citations: 158
  • Year: 2021

Muhammad Nawaz | Digital Forensics | Best Researcher Award

Posted on by ScienceFather

Dr. Muhammad Nawaz, Digital Forensics, Best Researcher Award

Doctorate at National University of Singapore, Singapore

Dr. Muhammad Nawaz is an environmental scientist with a Ph.D. in Environmental Science from Charles Darwin University (CDU), Australia. He also holds degrees in Geoinformatics, Geography, and Education from various institutions. Dr. Nawaz has expertise in GIS, Earth Science, and Environmental Studies, along with experience in teaching, research, and leadership roles in academia.

Profile:

Education:
  • Ph.D. in Environmental Science from Charles Darwin University (CDU), Australia, awarded in 2010.
  • M.Sc. in Geoinformatics from the University of Twente – ITC, Netherlands, completed in 1998.
  • M.Sc. in Geography from Punjab University (PU), Pakistan, completed in 1990.
  • B.Sc. in Geography with majors in Geology & Chemistry from Bahauddin Zakariya University, Pakistan, completed in 1986.
  • B.Ed. in Science from Allama Iqbal Open University, Pakistan, completed in 1994.
  • Graduate Certificate in Teaching and Learning in Higher Education from CDU, Australia, obtained in 2012.

Professional Experience:

Dr. Muhammad Nawaz has a wealth of experience in academia and research, including positions such as Senior Lecturer at the Department of Geography, National University of Singapore since 2015, where he teaches a range of courses including Spatial Data Handling, GIS Applications, and Environment Modeling. Prior to this role, he served as a Lecturer and Coordinator of the Tertiary Enabling Program in Environment & Geoscience at Charles Darwin University (CDU), Australia from 2012 to 2015. He also held the position of Lecturer in Environment Science eLearning at CDU from 2007 to 2012. Before his tenure at CDU, Dr. Nawaz worked as an Associate Professor in GIS and Associate Head at the GIS Centre, Punjab University, Pakistan, from 2004 to 2006. His academic journey includes roles such as Assistant Professor of Geography, Associate Head, and Coordinator of the M.Sc. GIS Program at Punjab University, Pakistan, from 1999 to 2004, and Lecturer of Geography at the same institution from 1993 to 1999. Prior to his academic career, he served as a Subject Specialist in Geography at the Ministry of Education, Government of Punjab, Pakistan, and as a Secondary Science Teacher at the Institute of Academic Service, Lahore, Pakistan. Dr. Nawaz’s areas of expertise encompass physical geography, GIS, Earth, and environmental sciences, with a focus on data science, IT, and spatial data analytics.

Research Interest:

Spatial Data Analytics: Utilizing advanced spatial data mining, big data analytics, geostatistical analysis, and spatial simulations to extract meaningful insights from geographic data.

Environmental Modeling: Investigating modeling processes in environmental systems, including ecological models, epidemic dynamics, and system dynamics, while addressing uncertainties inherent in environmental modeling.

Geographical Information Systems (GIS): Applying GIS techniques in various domains such as network analysis, public health, urban heat island studies, and remote sensing applications for modern municipal management.

Energy and Sustainability: Researching global energy resources, sustainable energy challenges, renewable energy integration, and designing future energy systems with a focus on sustainability.

Earth Surface Processes: Studying landform evolution, geomorphological processes, climate change impacts on landforms, and geological phenomena related to tectonics, volcanism, and mountain formation.

Water Resources Management: Investigating hydrological processes, catchment hydrology, groundwater studies, and assessing hydrometeorological hazards for effective water resource management.

Climate Change Impacts: Assessing climate change impacts, sea-level rise, coastal processes, climate variability, and their implications for environmental management and adaptation strategies.

Geological Studies: Exploring geological evolution, mineralogy, sedimentary environments, and geological history to understand Earth’s past and its implications for the present and future.

Geographical Education: Contributing to educational research in geography and GIS education, developing innovative teaching resources, and enhancing spatial data handling methodologies for effective geographical studies.

Publication Top Noted:

The socio-economic determinants of crime in Pakistan: New evidence on an old debate

  • Journal: Arab Economic and Business Journal
  • Volume: 10
  • Issue: 2
  • Pages: 73-81
  • Year: 2015
  • Cited By: 116
  • Authors: N Khan, J Ahmed, M Nawaz, K Zaman

Droning the pedagogy: Future prospect of teaching and learning

  • Journal: International Journal of Educational and Pedagogical Sciences
  • Volume: 11
  • Issue: 6
  • Pages: 1650-1655
  • Year: 2017
  • Cited By: 48
  • Authors: F Sattar, L Tamatea, M Nawaz

The impact of population on environmental degradation in South Asia: application of seemingly unrelated regression equation model

  • Journal: Environmental economics
  • Pages: 80-88
  • Year: 2011
  • Cited By: 31
  • Authors: K Zaman, H Khan, MM Khan, Z Saleem, M Nawaz

Planning a Least Cost Gas Pipeline Route A GIS & SDSS Integration Approach

  • Conference: Advances in Space Technologies, 2006 International Conference
  • Pages: 126-130
  • Year: 2006
  • Cited By: 28
  • Authors: M Iqbal, F Sattar, M Nawaz

Socio-political impacts of meteorological droughts and their spatial patterns in Pakistan

  • Journal: South Asian Studies
  • Volume: 30
  • Issue: 1
  • Year: Not specified
  • Cited By: 25
  • Authors: N Mazhar, M Nawaz, AI Mirza, K Khan