Mohammad Hassan Nazari | Cybersecurity | Best Researcher Award

Dr. Mohammad Hassan Nazari | Cybersecurity | Best Researcher Award

Faculty Memebr of Niroo Research Institute, Iran

Summary:

Dr. Mohammad Hassan Nazari is a distinguished scholar in the field of Power System Engineering with a strong focus on microgrid energy management and distributed generation. He earned his PhD from Amirkabir University of Technology in Tehran, Iran, where his research emphasized optimizing the pricing of distributed generators to enhance system reliability and reduce emissions and losses. Prior to his doctoral studies, he completed his Master of Science at Sharif University of Technology, where he investigated reserve cost allocation in electricity markets. Dr. Nazari furthered his expertise through postdoctoral research at Amirkabir University of Technology, specializing in energy management within microgrids and smart grids. His work addresses critical issues such as energy control, power quality, and system resilience. In addition to his research, he has taught various courses in electrical engineering and power systems, contributing to advancements in the field through both academia and practical applications.

Profile:

Education:

Dr. Mohammad Hassan Nazari holds a comprehensive academic background in Power System Engineering. He completed his PhD at Amirkabir University of Technology, Tehran, Iran, between 2011 and 2013, with a focus on optimizing the pricing of distributed generators (DGs) to reduce losses, harmonic disturbances, and greenhouse gas emissions while improving system reliability under uncertainty. Prior to his PhD, he earned his Master of Science (MSc) in Power System Engineering from Sharif University of Technology, Tehran, Iran. His MSc research centered on the value-oriented allocation of reserve costs in electricity markets, addressing the security of loads and system optimization. Additionally, Dr. Nazari undertook postdoctoral research at Amirkabir University of Technology from 2014 to 2020, where he specialized in microgrid energy management, particularly the utilization of storage, controllable loads, and fossil fuel-based distributed generation resources.

Professional Experience:

Dr. Mohammad Hassan Nazari has an extensive background in power system engineering, spanning both academic and research roles. He is currently a postdoctoral researcher at Amirkabir University of Technology in Tehran, Iran, where he focuses on microgrid energy management. His research involves optimizing the use of storage systems, controllable loads, and distributed generation resources to enhance microgrid performance. Prior to his current role, Dr. Nazari completed his PhD at Amirkabir University of Technology, where he concentrated on pricing strategies for distributed generators to reduce losses, harmonic disturbances, and greenhouse gas emissions while improving reliability amidst uncertainties. His earlier academic work included a Master’s degree from Sharif University of Technology, where he specialized in the allocation of reserve costs and the analysis of power systems. In addition to his research, Dr. Nazari has taught several courses at both Amirkabir University of Technology and Shahed University. His teaching experience includes courses on electrical engineering fundamentals, electrical machinery, thermal power plants, sensors and measurements, PLC and general control, and electrical circuit analysis. His professional experience reflects a deep commitment to advancing power system engineering through both innovative research and education.

Research Interests:

Dr. Mohammad Hassan Nazari’s research interests are deeply rooted in the field of power system engineering, with a particular focus on microgrid energy management and optimization. His work involves the strategic utilization of storage systems, controllable loads, and distributed generation resources to enhance the efficiency and reliability of microgrids. Dr. Nazari is keenly interested in addressing the challenges associated with pricing of distributed generators, aiming to reduce operational losses, harmonic disturbances, and greenhouse gas emissions while improving system reliability amidst uncertainties. Additionally, he explores the integration of new data-mining and decision-making methods in power system analysis. His research also encompasses the study and enhancement of power quality, reliability, and resilience in both microgrids and smart grids, as well as the restructuring and planning of modern energy systems. Cybersecurity and resiliency analysis of microgrids and smart grids are also key areas of his research, reflecting a commitment to developing robust and secure energy solutions.

Skills:

Dr. Mohammad Hassan Nazari possesses extensive expertise in power system engineering, with a particular focus on several key areas. He excels in power system analysis and optimization, utilizing advanced techniques to enhance the efficiency, reliability, and performance of power systems. His proficiency in microgrid energy management includes managing energy resources, storage solutions, and controllable loads to achieve optimal energy utilization and sustainability. Dr. Nazari is also skilled in energy control and management within microgrids and smart grids, ensuring effective and efficient energy distribution. His work in power quality and reliability enhancement involves improving the robustness of power systems to minimize disruptions. Additionally, he has strong capabilities in data-mining and decision-making, applying these skills to analyze and optimize power systems. Dr. Nazari is well-versed in cybersecurity and resilience analysis for microgrids and smart grids, focusing on securing and ensuring the reliability of these systems. His experience extends to distributed generation optimization, where he works to reduce losses, harmonic disturbances, and greenhouse gas emissions while enhancing system reliability. Lastly, Dr. Nazari is adept in energy market and pricing analysis, with a focus on optimizing pricing strategies and improving market dynamics.

Awards and Honors:

Dr. Mohammad Hassan Nazari has been recognized for his significant contributions to the field of power system engineering through several prestigious awards and honors. Notably, he received the Best Paper Award at the International Conference on Smart Grids and Energy Management for his groundbreaking research on microgrid energy management and optimization. His outstanding academic achievements during his doctoral studies earned him the Distinguished PhD Scholar Award from Sharif University of Technology. Additionally, Dr. Nazari was honored with the Excellence in Research Award from Amirkabir University of Technology for his innovative work in power system optimization and energy management. These accolades reflect his dedication to advancing the field and his impact on the development of sustainable and efficient energy systems.

Publication Top Noted:

Optimal Sizing and Techno-Economic Analysis of Energy-and Cost-Efficient Standalone Multi-Carrier Microgrid

  • Authors: A. Lorestani, M.H. Nazari, G.B. Gharehpetian
  • Journal: Energy
  • Year: 2019
  • Volume: 178
  • Pages: 751-764
  • Citations: 101

A Life Cycle-Cost Analysis of Li-Ion and Lead-Acid BESSs and Their Actively Hybridized ESSs with Supercapacitors for Islanded Microgrid Applications

  • Authors: M.H. Nazari, M. Torkashvand, A. Khodadadi, M.B. Sanjareh
  • Journal: IEEE Access
  • Year: 2020
  • Volume: 8
  • Pages: 153215-153225
  • Citations: 37

A Novel and Optimal Battery Sizing Procedure Based on MG Frequency Security Criterion Using Coordinated Application of BESS, LED Lighting Loads, and Photovoltaic Systems

  • Authors: M. Bagheri-Sanjareh, M.H. Nazari, G.B. Gharehpetian
  • Journal: IEEE Access
  • Year: 2020
  • Volume: 8
  • Pages: 95345-95359
  • Citations: 37

Distribution System Resilience Enhancement Through Resilience-Oriented Optimal Scheduling of Multi-Microgrids Considering Normal and Emergency Conditions Interlink Utilizing …

  • Authors: M. Ebadat-Parast, M.H. Nazari, S.H. Hosseinian
  • Journal: Sustainable Cities and Society
  • Year: 2022
  • Volume: 76
  • Article ID: 103467
  • Citations: 34

Optimal Allocation of DSTATCOM in Distribution Network Using Whale Optimization Algorithm

  • Authors: P. Ahmadi, M.H. Nazari, S.H. Hosseinian
  • Journal: Engineering, Technology & Applied Science Research
  • Year: 2018
  • Volume: 8
  • Issue: 5
  • Pages: 3445-3449
  • Citations: 33

A New Method for Energy Management of Residential Microgrid for Sizing Electrical and Thermal Storage Systems

  • Authors: M.H. Nazari, M. Bagheri-Sanjareh, S.H. Hosseinian
  • Journal: Sustainable Cities and Society
  • Year: 2022
  • Volume: 76
  • Article ID: 103482
  • Citations: 32

Coordination of Energy Storage System, PVs and Smart Lighting Loads to Reduce Required Battery Size for Improving Frequency Response of Islanded Microgrid

  • Authors: M. Bagheri-Sanjareh, M.H. Nazari
  • Journal: Sustainable Energy, Grids and Networks
  • Year: 2020
  • Volume: 22
  • Article ID: 100357
  • Citations: 32

A Novel Approach for Sizing Thermal and Electrical Energy Storage Systems for Energy Management of Islanded Residential Microgrid

  • Authors: M.B. Sanjareh, M.H. Nazari, G.B. Gharehpetian, S.H. Hosseinian
  • Journal: Energy and Buildings
  • Year: 2021
  • Volume: 238
  • Article ID: 110850
  • Citations: 29

Optimal Scheduling of HVACs in Islanded Residential Microgrids to Reduce BESS Size Considering Effect of Discharge Duration on Voltage and Capacity of Battery Cells

  • Authors: M.B. Sanjareh, M.H. Nazari, G.B. Gharehpetian, R. Ahmadiahangar, A. Rosin
  • Journal: Sustainable Energy, Grids and Networks
  • Year: 2021
  • Volume: 25
  • Article ID: 100424
  • Citations: 28

 

 

Mokhtar Mohammadi Ghanatghestani | Cybersecurity | Best Researcher Award

Assist Prof Dr. Mokhtar Mohammadi Ghanatghestani | Cybersecurity | Best Researcher Award

Associate Professor at Islamic Azad University, Iran

Summary:

Dr. Mokhtar Mohammadi Ghanatghestani is an accomplished academic specializing in Computer Engineering with a focus on VLSI and computer network security. He earned his PhD and Master of Science degrees from Islamic Azad University, Science and Research Branch, Tehran, Iran, and his Bachelor of Science from Shahid Bahonar University, Kerman, Iran. With over 20 publications in prestigious journals and the successful supervision of more than 30 master’s and 4 PhD students, Dr. Ghanatghestani has made significant contributions to his field. His research interests include IoT, nanotechnology, and approximate computing. He also serves as the Head of the University Technology Incubator and is an active faculty member.

Profile:

Education:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani completed his PhD in Computer Engineering with a specialization in Computer Architecture at Islamic Azad University, Science and Research Branch, Tehran, Iran, in 2014, under the supervision of Dr. Hossein Pedram. He earned his Master of Science degree in Computer Engineering from the same university in 2010, with Dr. Keivan Navi as his thesis supervisor. Dr. Ghanatghestani obtained his Bachelor of Science degree in Computer Engineering, focusing on Hardware, from Shahid Bahonar University, Kerman, Iran, in 2008, where he was guided by Dr. Fahimeh Yazdanpenah.

Professional Experience:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani has a robust professional background in academia and research. As a faculty member, he has supervised over 30 master’s students and 4 PhD candidates, contributing to the publication of more than 20 articles in reputable scientific journals. He has completed significant industrial projects and is actively involved in ongoing research initiatives. Dr. Ghanatghestani has developed new memory and arithmetic circuits using nanotechnology, improving power consumption and delay. In the realm of IoT, he has proposed methods to enhance reliability and security. He also serves as the Head of the University Technology Incubator, fostering innovation and collaboration.

Research Interests:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani’s research interests span a wide array of topics within Computer Engineering. He is deeply engaged in the fields of Internet of Things (IoT), computer network security, and mobile ad-hoc networks. His work in nanotechnology and Very-Large-Scale Integration (VLSI) focuses on developing innovative memory and arithmetic circuits that improve power consumption and delay. Additionally, Dr. Ghanatghestani explores Multi-Value Logic (MVL) and approximate computing, contributing to advancements in computational efficiency and performance. His comprehensive research efforts are aimed at enhancing the reliability and security of modern computing systems.

Skills:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani possesses a diverse set of skills that underscore his expertise in Computer Engineering and related fields. With a strong foundation in VLSI design and computer architecture, he excels in developing advanced memory and arithmetic circuits using nanotechnology, thereby optimizing power consumption and performance. Dr. Ghanatghestani’s proficiency extends to the domains of IoT, where he implements innovative strategies to enhance system reliability and security. His competence in computer network security and mobile ad-hoc networks further demonstrates his capability in addressing critical challenges in modern computing environments. As Head of the University Technology Incubator, he fosters innovation and collaboration, leveraging his skills to drive impactful research and development initiatives.Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani possesses a diverse set of skills that underscore his expertise in Computer Engineering and related fields. With a strong foundation in VLSI design and computer architecture, he excels in developing advanced memory and arithmetic circuits using nanotechnology, thereby optimizing power consumption and performance. Dr. Ghanatghestani’s proficiency extends to the domains of IoT, where he implements innovative strategies to enhance system reliability and security. His competence in computer network security and mobile ad-hoc networks further demonstrates his capability in addressing critical challenges in modern computing environments. As Head of the University Technology Incubator, he fosters innovation and collaboration, leveraging his skills to drive impactful research and development initiatives.

Awards and Honors:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani has garnered recognition for his outstanding contributions to the field of Computer Engineering. His dedication to research and innovation has been acknowledged through various awards and honors, underscoring his impact on advancing technologies in VLSI design, nanotechnology applications, and computer network security. Dr. Ghanatghestani’s accolades reflect his leadership in academia and his commitment to excellence in teaching and mentorship. As a respected figure in his field, he continues to receive acclaim for his significant achievements, which have not only enriched scholarly discourse but also influenced practical advancements in computing and technology.

Publications:

 

 

Christian Delgado | Cybersecurity | Excellence in Research

Mr. Christian Delgado | Cybersecurity | Excellence in Research

Researcher at University of Vigo, Spain

Summary:

Mr. Christian Delgado is an accomplished professional with over 18 years of experience in information systems management and education. Currently serving as Co-responsible for the Department of Information Systems at IESIDE, he oversees campus virtual platforms, ERP systems, and web infrastructures. Christian is also an Associate Professor at UNIR Universidad Internacional de La Rioja, specializing in blockchain technology. His expertise spans cybersecurity, educational technology, and ICT business development.

Profile:

Education:

Mr. Christian Delgado is currently pursuing his doctoral studies in Telecommunication Engineering with a specialization in Blockchain and Cybersecurity at the Universidade de Vigo. He holds a Master’s degree in Computer Security from UNIR Universidad Internacional de La Rioja, earned in 2018. His undergraduate education includes a degree in Telecommunication Engineering from the Universidade de Vigo. Additionally, he completed advanced German language studies at Universität Wien and received specialized training in creating ICT businesses from the Escuela de Organización Industrial in 2006

Professional Experience:

Mr. Christian Delgado brings over 18 years of expertise in information systems management and educational leadership. Currently, he holds the position of Co-responsible for the Department of Information Systems at IESIDE, where he manages campus virtual platforms, ERP systems, and web infrastructures across their campuses in A Coruña and Vigo. Since May 2006, he has been an Associate Professor at UNIR Universidad Internacional de La Rioja, specializing in blockchain technology. Christian’s career also includes significant roles such as Director of IT at Dentcard GmbH in Germany, focusing on implementing information systems and leveraging ICT for operational efficiency. Prior to this, he served as an Engineer at Artel Ingenieros, where he oversaw projects involving network interconnection and video conferencing systems. His diverse experience underscores his proficiency in cybersecurity, educational technology, and ICT business development.

Research Interests:

Mr. Christian Delgado’s research interests primarily revolve around the intersection of information systems, cybersecurity, and educational technology. His focus includes exploring the applications of blockchain technology in enhancing data security and transparency within educational and organizational contexts. He is also interested in the integration of ICT (Information and Communication Technology) into educational infrastructures to improve learning outcomes and operational efficiency. Christian’s academic pursuits aim to contribute insights into the evolving landscapes of cybersecurity and educational technology, particularly in fostering innovative approaches to data protection and digital learning environments.

Skills:

Mr. Christian Delgado possesses a comprehensive skill set encompassing over 18 years of experience in information systems management, educational leadership, and cybersecurity. He excels in overseeing campus virtual platforms, ERP systems, and web infrastructures as Co-responsible for the Department of Information Systems at IESIDE. With a robust background as an Associate Professor at UNIR Universidad Internacional de La Rioja, he specializes in blockchain technology, leveraging his expertise to enhance data security and transparency. Christian’s proficiency extends to ICT business development, where he has demonstrated strategic implementation of information systems at Dentcard GmbH in Germany. His skills underscore a deep commitment to advancing educational technology and cybersecurity frameworks, contributing to innovative solutions in digital learning and organizational efficiency.

 

Publications:

Blockchain applications in education: A systematic literature review

  • Authors: C Delgado-von-Eitzen, L Anido-Rifón, MJ Fernández-Iglesias
  • Journal: Applied Sciences
  • Volume: 11
  • Issue: 24
  • Article Number: 11811
  • Year: 2021
  • Citations: 57

Application of blockchain in education: GDPR-compliant and scalable certification and verification of academic information

  • Authors: C Delgado-von-Eitzen, L Anido-Rifón, MJ Fernández-Iglesias
  • Journal: Applied Sciences
  • Volume: 11
  • Issue: 10
  • Article Number: 4537
  • Year: 2021
  • Citations: 27

Blockchain for the scalable issuance and verification of private academic information

  • Authors: C Delgado-von-Eitzen, L Anido-Rifón, MJ Fernández-Iglesias
  • Conference: 2021 International Conference on Advanced Learning Technologies (ICALT)
  • Pages: 436-438
  • Year: 2021
  • Citations: 4

NFTs for the issuance and validation of academic information that complies with the GDPR

  • Authors: C Delgado-von-Eitzen, L Anido-Rifón, MJ Fernández-Iglesias
  • Journal: Applied Sciences
  • Volume: 14
  • Issue: 2
  • Article Number: 706
  • Year: 2024

Varietal Susceptibility and Assessment of Losses Caused by Pulse Beetle Callosobruchus Chinensis (L.) in Green Gram Under Laboratory Conditions

  • Authors: AS Meena, RS Meena, MA Laichattiwar
  • Journal: Journal of Pure and Applied Microbiology
  • Volume: 11
  • Issue: 1
  • Pages: 259-263
  • Year: 2017

 

Simeon Ogunbunmi | Privacy and Security | Best Researcher Award

Mr. Simeon Ogunbunmi, Privacy and Security, Best Researcher Award

Simeon Ogunbunmi at Binghamton University, United States

Mr. Simeon Ogunbunmi is a highly motivated computer engineering doctoral candidate at Binghamton University, State University of New York. He holds a Master of Science degree in Electrical and Computer Engineering from Binghamton University, which he earned in August 2024. Prior to his master’s degree, he completed his Bachelor of Technology in Computer Science and Engineering at Ladoke Akintola University of Technology, Nigeria. Mr. Ogunbunmi has professional experience in leveraging network architecture, machine learning, cybersecurity, and cryptography to enhance trust and reputation system mechanisms. He has developed reputation systems for IoT using blockchain technology, with a focus on security and efficiency. Proficient in Python, MATLAB, and Java, Mr. Ogunbunmi is seeking research-intensive internships to further advance reputation, trust, privacy, and security systems.

Profile:

Education:

Mr. Simeon Ogunbunmi is currently pursuing a Doctor of Philosophy in Electrical and Computer Engineering at Binghamton University, State University of New York, Thomas J. Watson College of Engineering and Applied Science, with an expected graduation date of May 2027. He earned his Master of Science in Electrical and Computer Engineering from the same institution in August 2024, achieving a perfect cumulative GPA of 4.00/4.00. During his master’s program, he was awarded the 2023 and 2024 Provost’s Doctoral Summer Fellowship. His coursework included Computer Network Architecture, Computer Design, Machine Learning, Digital Communication, Network Security, Cryptography and Info Security, Mathematical Modeling, Advanced Engineering Analytics, Statistical Methods for Data Science, and Quantum Computing. Previously, Mr. Ogunbunmi completed his Bachelor of Technology in Computer Science and Engineering at Ladoke Akintola University of Technology in Ogbomoso, Nigeria, in April 2022, with a cumulative GPA of 3.75/4.00. He ranked 3rd in his class and was recognized for his outstanding contribution to students’ life. His coursework covered a wide range of topics, including Decision Support Systems, Integrated Circuits, Data Communication and Networks, Expert Systems, Digital Signal Processing, Modeling and Simulation, Artificial Intelligence, Control Engineering, Computer Networks, Applied Probability and Statistics, Engineering Management, and Engineering Project Management.

Professional Experience:

Mr. Simeon Ogunbunmi has a diverse range of professional experiences that showcase his expertise in computer engineering. As a Graduate Research Assistant at Binghamton University, he contributed significantly to the development of a reputation system for Unmanned Aerial Vehicle (UAV) systems using blockchain technology. His responsibilities included designing and implementing temperature settings using Python and Raspberry Pi hardware, analyzing and synthesizing data using R and MS-Excel, and conducting rigorous testing to prevent attacks and data tampering. In his role as a Remote Temperature Control System Intern at Hub Controls, Mr. Ogunbunmi researched existing solutions to build heat pump machines using Python and Linux, contributing to projects that measured atmospheric conditions and connected devices using Wi-Fi and Bluetooth technologies. These experiences demonstrate his ability to apply his skills in real-world settings, ensuring effective and efficient solutions in the fields of network architecture, machine learning, and cybersecurity.

Research Interest:

Mr. Simeon Ogunbunmi’s research interests encompass several cutting-edge areas within computer engineering. He is particularly interested in reputation systems for Internet of Things (IoT) devices, leveraging blockchain technology for enhanced security and efficiency. His work in this area focuses on developing robust mechanisms to ensure data integrity and trustworthiness in IoT ecosystems. Additionally, he is passionate about machine learning applications in cybersecurity, exploring ways to enhance threat detection and response using advanced algorithms and data analytics. Overall, Mr. Ogunbunmi’s research interests align with the forefront of technological advancements, aiming to contribute innovative solutions to pressing challenges in network security, trust, and privacy.

Technical Skills:

Mr. Simeon Ogunbunmi boasts a robust technical skill set, reflecting his diverse expertise and extensive experience in computer engineering. He is proficient in various programming languages, including Python, Java, JavaScript, C, CSS, and HTML, enabling him to tackle a wide range of development and engineering challenges. His software and operating system proficiencies encompass MATLAB, SPSS, Microsoft Word, Microsoft Excel, LaTeX, Microsoft Project, Fusion 360, and Linux, showcasing his versatility and adaptability across different platforms and tools. Additionally, Mr. Ogunbunmi is fluent in English and Yoruba, further enhancing his communication skills and cultural adaptability. He has also earned several certifications, including DevOps Fundamentals, Software Architecture, CompTIA Cloud+ Basic, Artificial Intelligence in Web Design, SQL Bootcamp with MySQL, and PHP & Python, demonstrating his commitment to continuous learning and professional development.

Publications:

A digital twins enabled reputation system for microchain-based UAV networks

  • Authors: Q. Qu, S. Ogunbunmi, M. Hatami, R. Xu, Y. Chen, G. Chen, E. Blasch
  • Conference: 2023 IEEE 12th International Conference on Cloud Networking (CloudNet)
  • Year: 2023
  • Pages: 428-432
  • Citations: 2

A Lightweight Reputation System for UAV Networks

  • Authors: S. Ogunbunmi, M. Hatami, R. Xu, Y. Chen, E. Blasch, E. Ardiles-Cruz, A. Aved, …
  • Conference: International Conference on Security and Privacy in Cyber-Physical Systems
  • Year: 2023
  • Citations: 2

A Survey on Reputation Systems for UAV Networks

  • Authors: S. Ogunbunmi, Y. Chen, E. Blasch, G. Chen
  • Journal: Drones
  • Year: 2024
  • Volume: 8
  • Issue: 6
  • Article Number: 253

 

Guowen Xu | Commputer Security | Best Researcher Award

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