Indu Radhakrishnan | Cryptography | Best Researcher Award

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Ms. Indu Radhakrishnan | Cryptography | Best Researcher Award

Research scholar at PES University, India

Summary:

Ms. Indu Radhakrishnan is a dedicated educator and researcher currently serving as a Research Scholar pursuing M.Tech by Research in the Department of Computer Science and Engineering at PES University. With over 13 years of teaching experience, she has contributed significantly to the field of computer science education. Her research focuses on Cryptography, particularly in IoT security. Ms. Radhakrishnan has held various academic roles, including Assistant Professor at PES University and Coordinator & Assistant Professor at Surana College Peenya Campus. She holds a Master of Computer Applications from VTU – PESSE and a Bachelor of Science from Bangalore University.

Profile:

Education:

Ms. Indu Radhakrishnan holds a Master of Computer Applications (MCA) degree from VTU – PESSE, which she completed in 2010. Prior to her postgraduate studies, she earned a Bachelor of Science (BSc) degree from Bangalore University in 2007.

Professional Experience:

Ms. Indu Radhakrishnan brings over 13 years of teaching experience in computer science and engineering. Her current role as a Research Scholar at PES University involves conducting advanced research in Cryptography, focusing on IoT security. Previously, she served as an Assistant Professor at PES University, where she played a pivotal role in guiding student projects and organizing academic events. Prior to that, Ms. Radhakrishnan served as Coordinator & Assistant Professor at Surana College Peenya Campus, overseeing curriculum development and administrative responsibilities. Her expertise spans programming, networks, web designing, and she has actively contributed to workshops and faculty development programs in the field.

Research Interests:

Ms. Indu Radhakrishnan’s research interests span the domains of computer science and engineering, with a particular focus on Cryptography and IoT security. Her work delves into advanced cryptographic techniques aimed at enhancing security measures in Internet of Things (IoT) environments. She explores topics such as secure communication protocols, data encryption methods, and cryptographic key management systems to address the evolving challenges of cybersecurity in interconnected IoT ecosystems. Her research aims to contribute to the development of robust and resilient security solutions for emerging technologies and applications.

Publications:

Efficiency and Security Evaluation of Lightweight Cryptographic Algorithms for Resource-Constrained IoT Devices

  • Authors: I. Radhakrishnan, S. Jadon, P.B. Honnavalli
  • Journal: Sensors
  • Year: 2024
  • Volume and Issue: 24(12)
  • Pages: 4008

Jing Li | Deep Learning for Cybersecurity | Best Paper Award

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Dr. Jing Li | Deep Learning for Cybersecurity | Best Paper Award

 Researcher at University Technology Malaysia, China

Summary:

Dr. Jing Li is a dedicated computer scientist currently pursuing a PhD in Computer Science at University Technology Malaysia. His research interests encompass networking, Internet of Things, machine learning/deep learning, cybersecurity, and big data. He has achieved academic excellence, being awarded the International Doctoral Scholarship (IDF) for the periods 2022-2023 and 2023-2024. Dr. Li holds a Master’s degree in Information Management from Zhejiang University, where he was recognized with the First Prize for his entrance essay submission and conducted research on “Hangzhou Wireless City Construction Planning.” He completed his Bachelor’s degree in Computer Science and Technology at China Jiliang University, distinguished as a four-time scholarship recipient.

Profile:

Education:

Dr. Jing Li is currently pursuing a PhD in Computer Science at University Technology Malaysia, focusing on networking, Internet of Things, machine learning/deep learning, cybersecurity, and big data. He has been awarded the prestigious International Doctoral Scholarship (IDF) for the academic years 2022-2023 and 2023-2024. Prior to this, he earned a Master’s degree in Information Management from Zhejiang University, where he received the First Prize for his entrance essay submission and completed a thesis titled “Research on Hangzhou Wireless City Construction Planning.” Dr. Li also holds a Bachelor’s degree in Computer Science and Technology from China Jiliang University, where he was a four-time scholarship winner.

Professional Experience:

Dr. Jing Li brings a wealth of professional experience in the technology sector, having held significant roles across various organizations. He started his career as a Software Engineer at UTStarcom (China) Co., Ltd., where he gained foundational experience from June 2003 to June 2006. He then progressed to roles with increasing responsibility, serving as a Software Engineer/Product Architect at Aerohive Networks, Inc. from June 2006 to September 2014, focusing on networking solutions. Subsequently, Dr. Li joined ArcSoft (Hangzhou) Technology Co., Ltd. as a Product Architect from June 2014 to June 2018, where he contributed to product development and architecture. His entrepreneurial spirit led him to co-found Hangzhou Zijie Technology Co., Ltd., where he served as Technical Co-founder from June 2018 to 2021, involved in the strategic and technical leadership of the company. Throughout his career, Dr. Li has demonstrated expertise in Python, C++, and C, alongside a profound understanding of networking, Internet of Things, machine learning/deep learning, cybersecurity, and big data applications.

Research Interests:

Dr. Jing Li’s research interests are centered around several key areas in computer science and technology. His primary focus lies in networking, where he explores advancements in network protocols, architectures, and performance optimization. Dr. Li is also deeply engaged in the Internet of Things (IoT), investigating methods to enhance IoT device connectivity, security, and data management. His expertise extends to machine learning and deep learning applications, particularly in developing intelligent algorithms for data analysis and decision-making processes. Additionally, Dr. Li is passionate about cybersecurity, researching techniques to safeguard networks and IoT ecosystems from emerging threats. Finally, he explores big data analytics, aiming to develop scalable and efficient algorithms for processing and extracting valuable insights from large datasets.

Skills:

Dr. Jing Li is equipped with a comprehensive skill set that spans diverse areas within computer science and technology. His expertise includes advanced proficiency in networking, encompassing thorough knowledge of network protocols, architectures, and optimization strategies. Dr. Li demonstrates a deep understanding of Internet of Things (IoT), where he excels in enhancing device connectivity, ensuring robust security measures, and optimizing data management systems. His proficiency extends to machine learning and deep learning, where he develops and implements sophisticated algorithms for data analysis and decision-making tasks. Additionally, Dr. Li is adept in cybersecurity practices, employing effective techniques to safeguard networks and IoT environments from evolving threats. His skills in big data analytics enable him to design and implement scalable algorithms that efficiently process and derive valuable insights from large datasets. With fluency in programming languages such as Python, C++, and C, Dr. Li leverages his technical acumen to drive innovation and contribute significantly to research and development initiatives in his field.

Peer Reviewer in Journals:

Dr. Jing Li has served as a peer reviewer for prestigious journals in the fields of computer and electrical engineering. His expertise as a reviewer extends to journals such as Expert Systems With Applications, Knowledge-Based Systems, Journal of Ambient Intelligence and Humanized Computing, Journal on Internet of Things, International Journal of Electrical and Computer Engineering, International Journal on Data Science and Technology, and Journal of Applied Engineering and Technological Science. Through his role, Dr. Li contributes to maintaining the quality and integrity of research in these specialized domains, ensuring rigorous evaluation and feedback for scholarly publications.

Awards & Honors:

Dr. Jing Li has garnered significant recognition for his contributions in computer science and technology. He has served as a peer reviewer for esteemed journals including Expert Systems With Applications, Knowledge-Based Systems, and Journal of Ambient Intelligence and Humanized Computing, among others. In 2023, Dr. Li was appointed as a Professor Assistant for AI-SLR courses at UTM, showcasing his expertise and leadership in the field. His commitment to academic excellence is further underscored by his involvement in committees such as the EGE Committee Technical Team and PARS2023/2024 Committee Publication and Technical Team. In 2024, Dr. Li was honored with the Asian Youth Leaders Scholarship Award, reflecting his outstanding achievements and dedication to advancing research and education in computer and electrical engineering.

Publications:

Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning

  • Authors: J. Li, M.S. Othman, H. Chen, L.M. Yusuf
  • Journal: Journal of Big Data
  • Year: 2024
  • Volume and Issue: 11(1)
  • Pages: 36
  • Citations: 3

Enhancing IoT security: A comparative study of feature reduction techniques for intrusion detection system

  • Authors: J. Li, H. Chen, M.O. Shahizan, L.M. Yusuf
  • Journal: Intelligent Systems with Applications
  • Year: 2024
  • Volume and Issue: 23
  • Article Number: 200407
  • Citations: 0

A critical review of feature selection methods for machine learning in IoT security

  • Authors: J. Li, M.S. Othman, H. Chen, L.M. Yusuf
  • Journal: International Journal of Communication Networks and Distributed Systems
  • Year: 2024
  • Volume and Issue: 30(3)
  • Pages: 264-312
  • Citations: 0

Mokhtar Mohammadi Ghanatghestani | Cybersecurity | Best Researcher Award

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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:

 

 

Meray Medhat Shokry Zaghary | Cybersecurity Risk Assessment | Best Researcher Award

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Assoc Prof Dr. Meray Medhat Shokry Zaghary | Cybersecurity Risk Assessment | Best Researcher Award

Associate professor of clinical toxicology at Sohag University, Egypt

Summary:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary is an accomplished academic and medical professional specializing in clinical toxicology. Currently serving as a lecturer and consultant at Sohag University’s Faculty of Medicine in Egypt, she holds a Bachelor’s degree in Medicine and Surgery, a Master’s degree in Clinical Toxicology, and a Doctorate degree in Medicine with a focus on Clinical Toxicology. Dr. Zaghary is actively involved in research, training junior doctors, and organizing educational webinars and conferences in her field. Her expertise includes biostatistics, scientific writing, and the management of clinical toxicology cases.

Profile:

Education:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary pursued her academic journey at Sohag University, Egypt, where she achieved significant milestones in medicine and clinical toxicology. She obtained her Bachelor’s degree in Medicine and Surgery from the Faculty of Medicine at Sohag University in November 2011. Building upon this foundation, she completed a Master’s degree in Clinical Toxicology in June 2016. Driven by her passion for advancing her expertise, she went on to earn a Doctorate degree in Medicine with a specialization in Clinical Toxicology in January 2021. Her dedication to continuous professional development is evident through her additional diplomas, including Addiction and Psychological Health from the Freedom and Addiction Program in January 2019, Certified Biostatistics from MARS Global in R Program Statistics from January to August 2023, and Scientific Writing, International Publishing, and Statistical Analysis using SPSS Program Version 26 from Future Scientific Platform.

Professional Experience:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary has an extensive background in clinical toxicology, currently serving as a lecturer and Consultant in clinical toxicology at Sohag University, Faculty of Medicine since March 2021. In this role, she oversees critical care management, provides expert consultation, and conducts courses on first aid management. Prior to her current position, from August 2016 to March 2021, she worked as an Assistant Lecturer of clinical toxicology at Sohag University. During this period, she conducted numerous educational rounds and published two papers in 2020 related to her doctoral research on cardiac enzymes and ECG predictors of mortality in acute toxicity. Dr. Zaghary also holds a Master’s degree in clinical toxicology from Sohag University, where she served as a Demonstrator from April 2013 to August 2016, conducting clinical toxicological rounds and contributing to conferences and workshops in the field. Her professional journey includes certifications in digital transformation, preparing teachers, anticorruption, accreditation standards, statistical analysis in clinical research, and various scientific writing and research workshops.

Research Interest:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary’s research interests focus on various aspects of clinical toxicology, particularly in critical care management and the prediction of mortality in acute toxicity cases using cardiac enzymes and ECG. Her expertise also extends to drug abuse among university students, where she has published significant studies. Dr. Zaghary is actively involved in exploring advancements in toxicology treatment protocols, including workshops on Cardiopulmonary Resuscitation, Disaster and Crisis Management, and the application of SPSS in statistical analysis for clinical research. Her research endeavors aim to enhance understanding and improve outcomes in toxicology through rigorous scientific inquiry and practical applications.

Professional Skills:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary is an accomplished clinical toxicologist and experienced physician with a strong academic and professional background. She has successfully managed and treated a wide range of clinical toxicology cases, leveraging her extensive expertise and training. Dr. Zaghary is adept in biostatistics, proficiently using SPSS and R programs for advanced statistical analysis in clinical research. She plays a pivotal role as the administrator of the “Toxo Clinic” Telegram group, offering valuable consultations and referrals during the COVID-19 pandemic. Additionally, Dr. Zaghary is committed to medical education, where she excels as a trainer, imparting essential skills in first care management to junior doctors.

Awards and Honors:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary was awarded the Guild shield by the Doctors Syndicate in Sohag, Egypt, in recognition of her exceptional contributions to training junior doctors in the first care management of clinical toxicology cases. This prestigious honor was conferred on 29th March 2023, acknowledging her dedication and expertise in the field of clinical toxicology.

 

Publications:

 

Study of Drug Abuse among University Students in Sohag, Egypt

  • Authors: RAR Meray MS1, Ahmed FH2
  • Journal: Journal of Forensic, Toxicology and Medicolegal Analysis
  • Year: 2016
  • Volume: 1
  • Issue: 2
  • Pages: 19-23
  • Citations: 14

Validity of Vital Signs, Coma Scales and Modified APACHE Score in Prediction of Prognosis and Outcome of Acutely Poisoned Patients

  • Authors: MMS Zaghary, RA Radwan, RM Elsayed
  • Journal: The Egyptian Journal of Hospital Medicine
  • Year: 2021
  • Volume: 85
  • Issue: 1
  • Pages: 2758-2766
  • Citations: 7

Predictive Role of Cardiac Troponin I, Creatine Kinase-MB and Electrocardiogram in Early Assessment of Acute Cardiotoxicity in Patients Poisoned by Cardiotoxic Drugs and Toxins

  • Authors: MA Hilal, SED Mahmoud, MM Shokry, AM Said
  • Journal: Cardiology and Angiology: An International Journal
  • Year: 2020
  • Volume: 9
  • Issue: 3
  • Pages: 18-30
  • Citations: 4

Pattern and Outcome of Acute Aluminium Phosphide Intoxicated Cases at Sohag University Hospitals: Special Consideration to Paraffin Oil as a Supportive Treatment

  • Authors: M Abdelkader, RM Elsayed, MM Shokry
  • Journal: Zagazig Journal of Forensic Medicine
  • Year: 2023
  • Volume: 21
  • Issue: 1
  • Pages: 133-156
  • Citations: 2

Patterns and Outcomes of Acute Toxicological Cases Before, During, and After COVID-19 Lockdown in Sohag University Hospitals, Egypt

  • Authors: MM Shokry Zaghary, MM Abd ElKader, REA Mousa, AM Said
  • Journal: Toxicology Research
  • Year: 2024
  • Volume: 13
  • Issue: 2
  • Article: tfae061
  • Citations: 1

Predicting Outcome in Acute Cardiotoxicity Based on Glasgow Coma Scale (GCS) and Modified APACHE II Score (MAS)

  • Authors: M Shokry, M Hilal, S Abdalla, A Said
  • Journal: Ain Shams Journal of Forensic Medicine and Clinical Toxicology
  • Year: 2020
  • Volume: 35
  • Issue: 2
  • Pages: 39-48
  • Citations: 1

A Clinical Study and Laboratory Evaluation of the Cardiac and Hepatic Toxic Effects of Paraphenylenediamine

  • Authors: MM Abd ElKader, PA Mohamed Ismail, MA Abd El Ati, …
  • Journal: Clinical Toxicology
  • Year: 2024
  • Pages: 1-10

Case-Control Study of Intestinal Parasitic Infection in Hemodialysis Patients in Sohag Governorate

  • Authors: MR GabAllah, MMS Zaghary
  • Journal: The Egyptian Journal of Hospital Medicine
  • Year: 2023
  • Volume: 90
  • Issue: 2
  • Pages: 2245-2248

Toxicity and Complications of Long Term Use of Methotrexate in Sohag University Hospital: A Retrospective, Record Based Epidemiological Study

  • Authors: AM Said, AR Alagamy, MM Shokry
  • Journal: The Egyptian Journal of Hospital Medicine
  • Year: 2022
  • Volume: 89
  • Issue: 2
  • Pages: 6702-6706

Kratom Abuse as an Emerging Issue of Addiction, Overdose Toxicities and Deaths: A Review

  • Authors: M Zaghary
  • Journal: Ain Shams Journal of Forensic Medicine and Clinical Toxicology
  • Year: 2022
  • Volume: 39
  • Issue: 2
  • Pages: 39-47

Predictive Role of Cardiac Troponin I, Creatine Kinase-MB and Electrocardiogram in Early Assessment of Acute Cardiotoxicity in Patients Poisoned by Cardiotoxic Drugs and Toxins

  • Authors: MM Shokry
  • Institution: Sohag University
  • Year: 2018

 

Melkam Belay | Cybersecurity | Excellence in Research

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Mrs. Melkam Belay | Cybersecurity | Excellence in Research

PhD student at Dilla University College of Health Sciences and Medicine, Ethiopia

Summary:

Mrs. Melkam Belay is an experienced professional in midwifery and reproductive health nursing. She obtained her BSc in Midwifery from Gondar University in July 2015 and completed her MSc in Maternity and Reproductive Health Nursing at Arba Minch University in September 2019. Her career includes roles as a Junior Midwife, Graduate Assistant II, and Lecturer at Dilla University, where she also pursued a PhD in Public Health from 2015 to 2016. Since 2007, Mrs. Belay has been an active member of the Ethiopian Midwives Association and has made significant contributions to healthcare sciences with over 15 published and ongoing papers.

Profile:

Education:

Mrs. Melkam Belay completed her Bachelor of Science (BSc) in Midwifery at Gondar University in July 2015. Following this, she pursued further studies and earned a Master of Science (MSc) in Maternity and Reproductive Health Nursing from Arba Minch University, graduating in September 2019. Her academic journey has been complemented by practical experience and research pursuits in midwifery and public health, fostering her expertise in maternal care and reproductive health education.

Professional Experience:

Mrs. Melkam Belay has accumulated extensive professional experience in the field of midwifery and healthcare education. Her career began in 2008 at Bishoftu General Hospital, Oromia Region, Ethiopia, where she served as a Junior Midwife. From 2009 to 2010, she worked as a Graduate Assistant II at the Midwifery Department of Dilla University, progressing to an Assistant Lecturer role from 2011 to 2012. Demonstrating her commitment to academia and healthcare, Mrs. Belay continued to advance as a Lecturer at the Department of Midwifery at Dilla University from 2013 to 2015. Concurrently, she pursued her PhD in Public Health at Dilla University from 2015 to 2016, focusing on enhancing her research and teaching capabilities. Her tenure at various educational and healthcare institutions has enriched her expertise in midwifery practices and maternal health education, underpinned by her active membership in the Ethiopian Midwives Association since 2007.

Research Interest:

Mrs. Melkam Belay’s research interests span several critical areas within midwifery and public health. Her focus includes maternal health and well-being, particularly in resource-limited settings, where she explores factors influencing maternal health outcomes and healthcare access. She is also keenly interested in reproductive health, with a particular emphasis on improving maternal and child health services through evidence-based interventions. Mrs. Belay’s research endeavors aim to contribute to the development of effective healthcare strategies and policies that enhance maternal and reproductive health outcomes globally, addressing both clinical and socio-economic determinants.

Publication:

Title: Comparison of effectiveness of Foley catheter versus vaginal misoprostol for cervical ripening in induction of labour in Gedeo zone public hospitals, Ethiopia, 2022. Quasi-experimental design

  • Authors: Temesgen, T., Figa, Z., Gido, R., Bedecha, F., Berwo, M.
  • Journal: International Journal of Africa Nursing Sciences
  • Volume: 20
  • Article Number: 100734
  • Year: 2024
  • Citations: 0

Title: Pregnant mothers’ intention to use postpartum intrauterine contraceptive device and its associated factors in Arba Minch Town, Southern Ethiopia, 2022

  • Authors: Andargie, M., Debalkie, M., Lakew, S., Getie, A., Solomon, Z.
  • Journal: International Journal of Africa Nursing Sciences
  • Volume: 20
  • Article Number: 100718
  • Year: 2024
  • Citations: 0
  • Status: Open access

Title: Factors associated with low fifth minute Apgar score among newborns delivered at public health facilities of Dilla town, Southern Ethiopia, 2022

  • Authors: Abebe, M., Tebeje, T.M., Gugsa, T., Solomon, Z., Hareru, H.E.
  • Journal: International Journal of Africa Nursing Sciences
  • Volume: 20
  • Article Number: 100656
  • Year: 2024
  • Citations: 0
  • Status: Open access

 

 

Guowen Xu | Commputer Security | Best Researcher Award

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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