Hongwei Zhu | Cryptographic Implementations | Best Researcher Award

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Dr. Hongwei Zhu | Cryptographic Implementations | Best Researcher Award

Assistant Research Fellow of Tsinghua Shenzhen International Graduate School, Tsinghua University, China

Summary:

Dr. Hongwei Zhu is a postdoctoral fellow at Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China. He received his B.Sc. degree in Mathematics from Anqing Normal University in 2016, followed by an M.Sc. and Ph.D. in Mathematics from Anhui University in 2019 and 2023, respectively. His research interests lie in cryptography and coding theory. Dr. Zhu was funded by the China Scholarship Council (CSC) project to train with Professor Sihem Mesnager at the University de Paris VIII, France, from November 2021 to December 2022. He has actively participated in over 15 academic conferences, delivering a conference report at the 7th International Symposium on Coding and Cryptography in May 2023. Throughout his academic career, Dr. Zhu has received national scholarships and academic awards, contributing significantly to his field through numerous publications.

Profile:

Education:

Dr. Hongwei Zhu received his B.Sc. degree in Mathematics from Anqing Normal University, Anqing, China, in 2016. He then pursued his M.Sc. degree in Mathematics at Anhui University, Hefei, China, which he completed in 2019. Continuing his academic journey at Anhui University, he earned his Ph.D. degree in Mathematics in 2023. During his Ph.D. studies, Dr. Zhu was awarded funding from the China Scholarship Council (CSC) project, which facilitated his training with Professor Sihem Mesnager at the University de Paris VIII in France from November 2021 to December 2022, enriching his research with valuable international experience.

Professional Experience:

Dr. Hongwei Zhu is currently a postdoctoral fellow at Tsinghua Shenzhen International Graduate School, Tsinghua University, in Shenzhen, China. His academic journey began with a B.Sc. degree in Mathematics from Anqing Normal University in 2016, followed by an M.Sc. and Ph.D. in Mathematics from Anhui University, completed in 2019 and 2023, respectively. From November 2021 to December 2022, Dr. Zhu was funded by the China Scholarship Council (CSC) project and trained under Professor Sihem Mesnager at the University de Paris VIII, France, where he gained valuable international academic experience. His work primarily focuses on cryptography and coding theory. Over the past five years, he has actively engaged in the academic community, participating in over 15 conferences and delivering a notable conference report at the 7th International Symposium on Coding and Cryptography in May 2023. Dr. Zhu’s dedication to research and excellence has been recognized through various national scholarships and academic awards.

Research Interests:

Dr. Hongwei Zhu’s research interests lie in the fields of cryptography and coding theory. He focuses on various aspects of linear codes, cyclic codes, and their derivatives, including the weight spectrum, basic parameters, and asymptotic behavior. Dr. Zhu has made significant contributions to solving public problems related to the specific parameters of anti-primitive BCH codes, as well as studying the weight spectral cardinality of general linear codes under the Hamming metric. His work also involves analyzing the asymptotic goodness of derivative codes of several types of cyclic codes and investigating the weight problems of b-symbol pairs in irreducible cyclic codes and Kasami codes. Additionally, Dr. Zhu has systematically explored the parameters of cyclic codes derived from low differentially uniform functions, leading to important advancements in the field and earning him recognition for his research excellence.

Skills:

Dr. Hongwei Zhu possesses a diverse set of skills that complement his research in cryptography and coding theory. He is proficient in mathematical modeling and analysis, which are essential for his work on linear codes, cyclic codes, and their derivatives. Dr. Zhu has strong analytical skills, enabling him to solve complex problems related to the weight spectrum, basic parameters, and asymptotic behavior of codes. He is also experienced in the use of symmetric polynomials and attribute-based encryption for secure data exchange. Dr. Zhu is adept at conducting in-depth research and has a proven track record of publishing in high-impact journals and presenting at international conferences. His collaborative skills have allowed him to work effectively with researchers from various institutions, including his joint training with Professor Sihem Mesnager at the University de Paris VIII. Additionally, Dr. Zhu’s ability to integrate theoretical knowledge with practical applications makes him a valuable asset in the field of cryptography and coding theory.

Awards & Honors:

Dr. Hongwei Zhu has received several awards and honors in recognition of his outstanding contributions to the field of cryptography and coding theory. He was awarded national scholarships for graduate students, as well as academic scholarships for PhD students, highlighting his academic excellence. Dr. Zhu received funding from the China Scholarship Council (CSC) project from November 2021 to December 2022, which enabled him to gain valuable international experience by training with Professor Sihem Mesnager at the University de Paris VIII. He has actively participated in over 15 academic conferences, both domestically and internationally, and delivered a notable conference report at the 7th International Symposium on Coding and Cryptography in Xinxiang, Henan, in May 2023. His significant contributions to the study of cyclic codes from low differentially uniform functions led to his nomination for the “Best Researcher Award”. These recognitions attest to Dr. Zhu’s dedication, expertise, and impact in his field.

Publications:

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

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