Xing LI | Cybersecurity Risk | Best Researcher Award

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Assoc Prof Dr. Xing LI | Cybersecurity Risk | Best Researcher Award

Associate Professor at Xi’an Jiaotong University, China

Associate Professor Dr. Xing Li appears to be a suitable candidate for the Best Researcher Award based on several key considerations:

Profile:

Research Contributions:

Diverse Research Topics: Dr. Xing Li has made significant contributions to various fields within accounting and finance, with a particular focus on cybersecurity risk management and corporate governance. His research addresses critical issues such as the impact of managerial myopia on cybersecurity, employee education levels on corporate investment efficiency, and the relationship between corporate social responsibility and financial fraud.

High-Impact Publications: Dr. Li has an impressive record of publications in highly regarded journals such as the Journal of Banking & Finance, Journal of Accounting Literature, Contemporary Accounting Research, Journal of Business Ethics, and Accounting & Finance. His work has garnered recognition, including a Top Cited Article Award, indicating its impact and relevance in the academic community.

Collaborative Efforts: Many of Dr. Li’s research projects are collaborative, involving co-authors from different institutions. This collaborative approach is essential for producing high-quality, multidisciplinary research that addresses complex issues in innovative ways.

Teaching Excellence:

Outstanding Teaching Evaluations: Dr. Li has received exceptionally high student evaluation scores, including a 99.77 in 2023, and has been awarded the Outstanding Teaching Award at Xi’an Jiaotong University. His commitment to teaching excellence enhances his profile as a well-rounded academic.

Course Development: He has developed and taught courses such as Audit and Assurance (ACCA) and Empirical Accounting Research, contributing to the academic development of both undergraduate and master students.

Professional Recognition and Awards:

Awards and Honors: Dr. Li has received several prestigious awards, including the Shaanxi Provincial Higher School Science and Technology Achievement Award (Grand Prize) and the Outstanding Research Thesis Award at City University of Hong Kong. These accolades highlight his contributions to both research and teaching.

Research Funding: He has secured significant research funding from reputable sources such as the National Natural Science Foundation of China and the China Postdoctoral Science Foundation, underscoring his ability to attract support for his research initiatives.

Contributions to Academic Literature:

Monographs and Textbooks: Dr. Li has contributed as Deputy Editor-in-Chief to influential textbooks like “Blockchain Theory and Practice” and “Advanced Financial Management: Theory and Practice.” These contributions reflect his role in shaping academic literature and providing valuable resources for students and professionals.

Reviewer Roles and Professional Activities:

Editorial and Reviewer Roles: Dr. Li serves as a reviewer for several reputable journals, including the Journal of Business Ethics and the International Journal of Financial and Economics. His involvement in these roles demonstrates his commitment to maintaining high standards in academic publishing.

Conclusion:

Based on his extensive research contributions, outstanding teaching record, significant awards and honors, and active involvement in the academic community, Associate Professor Dr. Xing Li is indeed a strong candidate for the Best Researcher Award. His work not only advances academic knowledge but also addresses practical issues in cybersecurity risk management and corporate governance, making a substantial impact on the field.

Publication Tob Noted:

The Impact of Managerial Myopia on Cybersecurity: Evidence from Data Breaches

  • Authors: Chen, W., Li, X., Wu, H., Zhang, L.
  • Journal: Journal of Banking and Finance
  • Volume: 166
  • Article: 107254
  • Year: 2024
  • Citations: 0

Asymmetric Inefficiency in the Market Response to Non-earnings 8-K Information

  • Authors: Li, X., Tan, Q.
  • Journal: Contemporary Accounting Research
  • Volume: 39, Issue: 2
  • Pages: 1389–1424
  • Year: 2022
  • Citations: 1

MD&A Readability, Auditor Characteristics, and Audit Fees

  • Authors: Wang, L., Chen, X., Li, X., Tian, G.
  • Journal: Accounting and Finance
  • Volume: 61, Issue: 4
  • Pages: 5025–5050
  • Year: 2021
  • Citations: 14

Corporate Social Responsibility and Financial Fraud: The Moderating Effects of Governance and Religiosity

  • Authors: Li, X., Kim, J.-B., Wu, H., Yu, Y.
  • Journal: Journal of Business Ethics
  • Volume: 170, Issue: 3
  • Pages: 557–576
  • Year: 2021
  • Citations: 26

Employee Quality and Audit Fee: Evidence from China

  • Authors: Li, X., Chen, X., Qi, B., Tian, G.
  • Journal: Accounting and Finance
  • Volume: 60, Issue: 5
  • Pages: 4533–4566
  • Year: 2020
  • Citations: 26

 

Sharmila Ghosh | Hiding and Steganography | Best Researcher Award

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Ms. Sharmila Ghosh | Hiding and Steganography | Best Researcher Award 

Student at National Institute of Technology Agartala, India

Summary:

Sharmila Ghosh is a dedicated cyber security professional from Agartala, Tripura, India. She holds a BTech in Information Technology and is currently pursuing an MTech in Cyber Security. Her academic background includes extensive knowledge in Cryptography, Steganography, Ethical Hacking, and Web Development. Sharmila has demonstrated her technical skills through innovative projects such as Image Steganography using Histogram Shifting and Personalized Music Recommendation Systems. Her research interests focus on enhancing data security through chaos theory-based cryptographic algorithms and advanced image security techniques. She has earned several accolades, including multiple prizes in electronic design and national competitions. Sharmila’s commitment to advancing cyber security is evident in her published research and diverse skill set in programming and web development.

Profile:

Education:

Sharmila Ghosh is currently pursuing a Master of Technology (MTech) in Cyber Security at the National Institute Technology Agartala, Tripura, with expected completion in 2024. Prior to this, she earned her Bachelor of Technology (BTech) in Information Technology from Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, where she achieved a CGPA of 8.62. During her undergraduate studies, she gained extensive knowledge in various areas including Cryptography, Steganography, Ethical Hacking, Data Structures, Algorithms, and Computer Networks. Sharmila completed her Higher Secondary education under the CBSE board at Sri Krishna Mission School, Agartala, with a percentage of 65.4%. She also completed her Secondary Examination under CBSE at the same school with a CGPA of 9.0. Her educational background reflects a strong foundation in both theoretical and practical aspects of cyber security and technology.

Professional Experience:

Sharmila Ghosh’s professional experience includes various roles and projects that have honed her skills in cyber security and technology. During her BTech studies, she implemented a cutting-edge Image Steganography project using Histogram Shifting combined with Huffman Encoding and AES Encryption for enhanced data security. She also developed a Personalized Music Recommendation System utilizing Deep Neural Network techniques, aiming to provide a tailored listening experience. Additionally, Sharmila worked on a Semantic Similarity Computation project using Cosine LSTM to analyze textual elements. Her hands-on projects and coursework have provided her with practical experience in ethical hacking, cryptography, web development, and programming, making her well-prepared for challenges in the cyber security field.

Research Interests:

Sharmila Ghosh’s research interests are centered around advancing the field of cyber security through innovative techniques and applications. Her focus includes Cryptography and Steganography, where she explores methods to enhance data security, particularly in medical imaging and digital watermarking. She is also interested in Chaos Theory-based Cryptographic Algorithms, which she investigates to improve cryptographic systems. Her research extends to Social Media Network Security, where she studies attacks and prevention measures. Additionally, Sharmila is engaged in Image Security analysis, employing chaos theory to enhance the robustness of image steganography. Her work aims to integrate and improve security measures using advanced methodologies, contributing to the broader cyber security landscape.

 Skills:

Sharmila Ghosh possesses a diverse skill set essential for a career in cyber security and technology. She is proficient in Cyber Security, with expertise in Ethical Hacking, Cryptography, and Steganography. Her programming skills include Python and C language, which she uses for various security-related applications and development tasks. In Web Development, Sharmila is skilled in HTML and CSS, contributing to her ability to create and secure web interfaces. She has a strong foundation in Data Structures and Algorithms, enhancing her problem-solving capabilities. Additionally, Sharmila has experience with Advanced Steganography Techniques, such as Histogram Shifting and Huffman Encoding, and is adept at using Deep Neural Networks for personalized systems. Her ability to integrate Cryptography with Steganography for enhanced data security reflects her innovative approach and strong analytical skills.

 Awards and Honors:

Sharmila Ghosh has received several awards and honors reflecting her academic and extracurricular achievements. She was awarded the Second Prize in a School-level scholarship competition in October 2023 and the Third Prize in an Enterprise Scholarship in June 2023. She was recognized as an Outstanding Student Cadre and an Outstanding Communist Party Member in September and June 2023, respectively. During her BTech, she earned the Second Prize in the Central University Graduate Electronic Design Competition in August 2022. She also achieved the Third Prize in the National Intelligent Car Competition South China Race in August 2021 and the Second Prize in the Hunan Electronic Design Competition in June 2021. These accolades highlight her excellence in both academic pursuits and competitive projects.

Publication Top Noted:

  1. “A Comparative Analysis of Chaos Theory-Based Medical Image Steganography to Enhance Data Security”
    Authors: Sharmila Ghosh, Ananya Saha, Tanmoy Pal, Arvind Kumar Jha
    Year: 2024
    Journal: Procedia Computer Science, 235, pp. 1024–1033
  2. “An Analysis of Chaos-Based Cryptographic Algorithms”
    Authors: Sharmila Ghosh, Pritam Pal, Nirmal Kar
    Year: 2023
    Conference: 5th International Conference on Electrical, Computer and Communication Technologies (ICECCT 2023)
  3. “Attacks on Social Media Networks and Prevention Measures”
    Authors: Pritam Pal, Sharmila Ghosh, Nirmal Kar
    Year: 2023
    Conference: International Conference for Advancement in Technology (ICONAT 2023)

 

Reza Fotohi | Privacy-Preserving | Best Researcher Award

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Dr. Reza Fotohi | Privacy-Preserving | Best Researcher Award

University Professor at Shahid Beheshti University, Iran

Summary:

Dr. Reza Fotohi is a Ph.D. candidate in Computer Software Engineering at Shahid Beheshti University (SBU) in Tehran, Iran. His research specializes in privacy-preserving data collection and analysis, privacy-preserving machine learning, and federated learning. Reza has made significant contributions to his field, with multiple publications in high-ranking journals and over 1196 citations, resulting in an h-index of 24 and an i10-index of 29. Reza’s academic journey includes an M.Sc. in Computer Software Engineering from the Islamic Azad University of Shabestar and a B.Sc. from the University of Applied Science and Technology in East Azerbaijan, Iran. His work has been recognized with numerous awards, including being named among the top 2% of researchers worldwide by Stanford University and receiving fellowships and outstanding student awards throughout his academic career. Currently, Reza is researching data privacy in intelligent enterprises, continuing to advance the frontiers of privacy-preserving technologies.

Profile:

Education:

Reza Fotohi is pursuing his Ph.D. in Computer Software Engineering at Shahid Beheshti University (SBU) in Tehran Province, Iran, from September 2019 to September 2023. He has achieved a GPA of 19.0/20, with coursework including Advanced Software Engineering, Self-adapting and Self-organize Systems, Advanced Network Security, and Ultra Large Scale Systems. His thesis, supervised by Dr. Fereidoon Shams Aliee and advised by Dr. Bahar Farahani, focuses on “A Lightweight Model for Privacy-Preserving of Data in Intelligent Enterprises.” Reza obtained his M.Sc. in Computer Software Engineering from the Islamic Azad University of Shabestar (IAU) in East Azerbaijan Province, Iran, between September 2012 and February 2014. He graduated with a GPA of 18.49/20, completing coursework such as Advanced Topics in Software Engineering, Advanced Operating System, Advanced Computer Networks, and Distributed Systems. His thesis, titled “DAWA: Defending against Wormhole Attack in MANETs by Using Fuzzy Logic and Artificial Immune System,” was supervised by Dr. Shahram Jamalie and advised by Dr. Morteza Analouei. He earned his B.Sc. in Computer Software Engineering from the University of Applied Science and Technology (UAST) in East Azerbaijan Province, Iran, from September 2007 to February 2010. Reza’s GPA was 17.37/20, and his coursework included Algorithm Design, Internet Engineering, Computer Simulation, and Network Installation and Configuration. His research project on Service Oriented Architecture (SOA) was supervised by Dr. Hadi Mikaeili and advised by Dr. Kambiz Fakhr.

Professional Experience:

Dr. Reza Fotohi is a dedicated researcher and academic in the field of Computer Software Engineering. During his Ph.D. at Shahid Beheshti University (SBU), he has served as a Teaching Assistant for the Ultra Large Scale Systems course in the winters of 2021 and 2022. Additionally, he worked as a Research Assistant in the winter of 2022, where he focused on privacy-preserving data collection and analysis, and privacy-preserving machine learning. His thesis, titled “A Lightweight Model for Privacy-Preserving of Data in Intelligent Enterprises,” is supervised by Dr. Fereidoon Shams Aliee and advised by Dr. Bahar Farahani. Throughout his academic career, Reza has published numerous papers in high-ranking journals, earning over 1196 citations with an h-index of 24 and an i10-index of 29. His research contributions have earned him recognition among the top 2% of researchers worldwide by Stanford University. He has also received several awards and fellowships, highlighting his excellence in research and academia.

Research Interests:

Dr. Reza Fotohi’s research interests lie at the intersection of privacy and data science, with a focus on privacy-preserving data collection and analysis, privacy-preserving machine learning, and federated learning. He is particularly interested in developing and implementing techniques that protect sensitive information in intelligent enterprises, ensuring data privacy while maintaining the utility and effectiveness of data-driven applications. His current research explores lightweight models for privacy-preserving data management, aiming to advance the field by creating more secure and efficient systems for handling private data in various applications.

Honors & Awards:

Dr. Reza Fotohi has been recognized among the top 2% of researchers worldwide by Stanford University for the academic year 2020-2021. He was awarded a Ph.D. fellowship by the Faculty of Computer Science and Engineering at Shahid Beheshti University for the year 2018-2019. Additionally, he ranked 17th in the Nationwide Ph.D. University Entrance Exam out of over 2367 participants in 2018-2019. He has been selected to use the student facilities of the National Elite Foundation in 2020-2021. Throughout his academic career, Reza has consistently been ranked as an outstanding student during his Ph.D. (2019-2023), M.Sc. (2012-2014), and B.Sc. (2007-2010) studies. He has also received outstanding researcher and thesis awards during his M.Sc. years from 2012 to 2014.

Publication:

 

Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication

  • Authors: K Mabodi, M Yusefi, S Zandiyan, L Irankhah, R Fotohi
  • Journal: The Journal of Supercomputing
  • Publisher: Springer
  • Volume: 76(9)
  • Pages: 1-26
  • Year: 2020
  • Citations: 106

SoS-RPL: Securing Internet of Things Against Sinkhole Attack Using RPL Protocol-Based Node Rating and Ranking Mechanism

  • Authors: R Fotohi, M Zaminkar
  • Journal: Wireless Personal Communications
  • Publisher: Springer
  • Volume: 114(2)
  • Pages: 1287-1312
  • Year: 2020
  • Citations: 90*

Securing wireless sensor networks against denial-of-sleep attacks using RSA cryptography algorithm and interlock protocol

  • Authors: R Fotohi, S Firoozi Bari, M Yusefi
  • Journal: International Journal of Communication Systems
  • Publisher: Wiley
  • Volume: 33(4)
  • Article: e4234
  • Year: 2020
  • Citations: 90

DAWA: Defending against wormhole attack in MANETs by using fuzzy logic and artificial immune system

  • Authors: S Jamali, R Fotohi
  • Journal: The Journal of Supercomputing
  • Publisher: Springer
  • Volume: 73(12)
  • Pages: 5173-5196
  • Year: 2017
  • Citations: 89

An agent-based self-protective method to secure communication between UAVs in unmanned aerial vehicle networks

  • Authors: R Fotohi, E Nazemi, FS Aliee
  • Journal: Vehicular Communications
  • Publisher: Elsevier
  • Volume: 26
  • Article: 100267
  • Year: 2020
  • Citations: 88

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