Boquan Li | Cyber Threat | Best Researcher Award

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Dr. Boquan Li | Cyber Threat | Best Researcher Award

Assistant Professor at College of Computer Science and Technology, Harbin Engineering University, China

Dr. Boquan Li is a Tenure Track Associate Professor at the College of Computer Science and Technology, Harbin Engineering University, where he has served since January 2024. Prior to this, he was a Research Scientist at the School of Computing and Information Systems, Singapore Management University, from April 2022 to December 2023. Dr. Li holds a Ph.D. in Information Engineering from the University of Chinese Academy of Sciences and a Bachelor of Engineering from Harbin Engineering University. His research interests focus on artificial intelligence, cybersecurity, deepfake detection, and speaker recognition, with numerous publications in leading international conferences and journals. Dr. Li is also an active peer reviewer for prestigious journals like IEEE Transactions on Software Engineering.

Profile:

Education:

Dr. Boquan Li holds a Doctor of Philosophy (Ph.D.) from the University of Chinese Academy of Sciences, where he specialized in Information Engineering at the Institute of Information Engineering. He completed his Ph.D. in January 2022, building a strong foundation in artificial intelligence, cybersecurity, and data science. Prior to his doctoral studies, Dr. Li earned a Bachelor of Engineering degree from the School of Software at Harbin Engineering University in June 2016. His comprehensive academic background has equipped him with expertise in cutting-edge technologies, enabling him to contribute significantly to research in AI and cybersecurity.

Professional Experience:

Dr. Boquan Li has a diverse professional background in both academia and research. Since January 2024, he has been serving as a Tenure Track Associate Professor at the College of Computer Science and Technology, Harbin Engineering University, where he contributes to teaching and research in artificial intelligence and cybersecurity. Prior to this role, Dr. Li worked as a Research Scientist at the School of Computing and Information Systems, Singapore Management University, from April 2022 to December 2023. In this capacity, he was involved in cutting-edge research on deepfake detection, speaker recognition, and digital forensics. His professional experience highlights his expertise in developing innovative solutions to cybersecurity challenges and advancing research in AI-driven technologies.

Research Interests:

Dr. Boquan Li’s research interests focus on cutting-edge areas of artificial intelligence, cybersecurity, and multimedia forensics. He is particularly interested in deepfake detection, where he explores the vulnerabilities and robustness of detection systems across various domains. His work also covers speaker recognition, digital forensics, and adversarial attacks, aiming to develop defense mechanisms against cyber threats. Additionally, Dr. Li has a strong interest in cross-modal fusion techniques, particularly in audio-visual speech recognition, and domain adaptation methods for enhancing the accuracy of AI models across diverse datasets. His research contributes to advancing secure and reliable AI systems.

Skills:

Dr. Boquan Li possesses a diverse skill set that encompasses advanced computational techniques and a robust understanding of artificial intelligence and machine learning algorithms. He is proficient in developing and implementing deep learning models, particularly for applications in image and audio processing. His expertise extends to cybersecurity measures, with a focus on identifying vulnerabilities in AI systems and creating effective defense strategies against adversarial attacks. Additionally, Dr. Li is skilled in data analysis and statistical methods, enabling him to interpret complex datasets and derive meaningful insights. His strong programming skills in languages such as Python and proficiency with machine learning frameworks like TensorFlow and PyTorch further enhance his research capabilities in the field of computer science and technology.

Conclusion:

Dr. Boquan Li’s research addresses critical issues in AI security, deepfake detection, and adversarial defenses, areas of increasing importance in today’s technological landscape. His innovative work, combined with his academic and research experience, positions him as a strong candidate for the Best Researcher Award. His contributions have practical applications in cybersecurity and AI ethics, demonstrating both academic excellence and real-world impact.

Publication Top Noted:

  • How Generalizable are Deepfake Image Detectors? An Empirical Study
  • Two-stage Semi-supervised Speaker Recognition with Gated Label Learning
    • Authors: Xingmei Wang, Jiaxiang Meng, Kong Aik Lee, Boquan Li, Jinghan Liu
    • Year: 2024
    • Conference: International Joint Conference on Artificial Intelligence
    • Type: Conference paper
  • Assessing Backdoor Risk in Deepfake Detectors
    • Authors: Jiawen Wang, Boquan Li, Min Yu, Kam-Pui Chow, Jianguo Jiang, Fuqiang Du, Xiang Meng, Weiqing Huang
    • Year: 2024
    • Conference: IFIP WG 11.9 International Conference on Digital Forensics
    • Type: Conference paper
  • CATNet: Cross-Modal Fusion for Audio–Visual Speech Recognition
    • Authors: Xingmei Wang, Jiachen Mi, Boquan Li, Yixu Zhao, Jiaxiang Meng
    • Year: 2024
    • Journal: Pattern Recognition Letters
    • DOI: 10.1016/j.patrec.2024.01.002
  • A Residual Fingerprint-Based Defense Against Adversarial Deepfakes
  • FakeFilter: A Cross-Distribution Deepfake Detection System with Domain Adaptation
    • Authors: Jianguo Jiang, Boquan Li, Baole Wei, Gang Li, Chao Liu, Weiqing Huang, Meimei Li, Min Yu
    • Year: 2021
    • Journal: Journal of Computer Security
    • DOI: 10.3233/jcs-200124
  • Restoration as a Defense Against Adversarial Perturbations for Spam Image Detection
    • Authors: Jianguo Jiang, Boquan Li, Min Yu, Chao Liu, Weiqing Huang, Lejun Fan, Jianfeng Xia
    • Year: 2019
    • Conference: International Conference on Artificial Neural Networks
    • DOI: 10.1007/978-3-030-30508-6_56

NURENI AZEEZ | Cybersecurity | Excellence in Research Award

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Assoc Prof Dr. NURENI AZEEZ | Cybersecurity | Excellence in Research Award

Associate Professor at University of Lagos, Nigeria

Summary:

Assoc. Prof. Dr. Nureni Azeez is an accomplished academic and researcher currently serving as an Associate Professor in the Department of Computer Sciences at the University of Lagos, Nigeria. He obtained his Ph.D. in Computer Science from the University of the Western Cape, South Africa, focusing on scalability and interoperability in grid-based environments. Dr. Azeez also holds an M.Sc. in Computer Science from the University of Ibadan and a B.Tech. in Computer Science from the Federal University of Technology, Akure. With a strong background in security and privacy, trust management, and web services security, he has made significant contributions through numerous published articles in reputable journals. Dr. Azeez has held various academic roles and leadership positions, emphasizing the integration of technology in development and security.

Profile:

Education:

Assoc. Prof. Dr. Nureni Azeez holds a Ph.D. in Computer Science from the University of the Western Cape, South Africa, completed between May 2010 and March 2013. Prior to this, he obtained a Master of Science (Honours) in Computer Science from the University of Ibadan, Nigeria, in 2008, where he graduated with a Ph.D. grade. He also earned a Bachelor of Technology (Honours) in Computer Science from the Federal University of Technology, Akure, Nigeria, in 2004, achieving Second Class Honours, Upper Division. Dr. Azeez’s educational journey began with an Ordinary National Diploma in Computer Science in 1998 and a Senior Secondary Certificate Examination in 1996, where he achieved distinctions. His foundational education was completed at Ede Muslim Grammar School and Y.T.D School ‘B’ Ojoro, both in Osun State, Nigeria, where he attended from 1983 to 1996.

Professional Experience:

Assoc. Prof. Dr. Nureni Azeez has extensive professional experience in academia and research. He is currently an Associate Professor in the Department of Computer Sciences at the University of Lagos, Nigeria, a position he has held since October 2022. Prior to this, he served as a Senior Lecturer in the same department from October 2019 to October 2022. Dr. Azeez began his academic career as a Lecturer Grade II at the University of Lagos and subsequently progressed to Lecturer Grade I. He also gained valuable experience as a Postdoctoral Fellow at North-West University, South Africa, where he worked in the School of Information Technology. His earlier roles include research and teaching assistantships at the University of the Western Cape, as well as lecturer positions at various institutions in Nigeria. With a focus on computer science education and research, Dr. Azeez has played a significant role in shaping academic programs and mentoring students throughout his career.

Research Interests:

Assoc. Prof. Dr. Nureni Azeez has a diverse range of research interests primarily focused on the intersections of technology and security. His expertise encompasses Security and Privacy, particularly in the context of digital systems and data protection. He is also deeply involved in Trust Management, exploring how to establish and maintain trust in digital interactions. Additionally, Dr. Azeez is interested in Web Services Security, aiming to enhance the safety and reliability of online services. His research extends to ICT4D (Information and Communication Technology for Development), where he examines how technology can facilitate socio-economic growth. Furthermore, he is passionate about E-Health, investigating the role of information technology in improving health services and outcomes. Through his research, Dr. Azeez aims to contribute to the development of secure, efficient, and impactful technological solutions.

Skills:

Assoc. Prof. Dr. Nureni Azeez possesses a robust skill set that encompasses various areas of computer science and technology. His programming expertise includes proficiency in web development using PHP, HTML, XHTML, and MySQL, as well as coding in Assembly Language, Python, JAVA, FORTRAN, and BASIC across both Linux and Windows environments. He has demonstrated his capabilities in cybersecurity, particularly in web services security and machine learning applications in cyber defense. Dr. Azeez is skilled in systems analysis and design, having taught and implemented principles in academic settings. His experience also extends to database management, compiler construction, and the application of algorithms. Additionally, he has strong leadership and organizational skills, having held various academic and administrative roles within the university. His commitment to ongoing learning is evidenced by his participation in numerous training programs and workshops, further enhancing his expertise in emerging technologies and methodologies.

Concution:

In conclusion, Assoc. Prof. Dr. NURENI AZEEZ exemplifies the qualities associated with the Excellence in Research Award. His strong academic background, extensive work experience, active research contributions, leadership roles, and professional engagement collectively highlight his impact in the field of computer science. His commitment to research excellence, innovation, and education positions him as a deserving candidate for this prestigious recognition.

Publication Top Noted:

  • Security and Privacy Issues in E-Health Cloud-Based System: A Comprehensive Content Analysis
    • Authors: NA Azeez, C Van der Vyver
    • Year: 2019
    • Journal: Egyptian Informatics Journal 20 (2), 97-108
    • Citations: 163
  • Windows PE Malware Detection Using Ensemble Learning
    • Authors: NA Azeez, OE Odufuwa, S Misra, J Oluranti, R Damaševičius
    • Year: 2021
    • Journal: Informatics 8 (1), 10
    • Citations: 94
  • Using Wearable Sensors for Remote Healthcare Monitoring System
    • Authors: AP Abidoye, NA Azeez, AO Adesina, KK Agbele, HO Nyongesa
    • Year: 2011
    • Journal: Journal of Sensor Technology 2011
    • Citations: 86
  • Intrusion Detection and Prevention Systems: An Updated Review
    • Authors: NA Azeez, TM Bada, S Misra, A Adewumi, C Van der Vyver, R Ahuja
    • Year: 2020
    • Journal: Data Management, Analytics and Innovation: Proceedings of ICDMAI 2019
    • Citations: 72
  • Cyber Security: Challenges and the Way Forward
    • Authors: NA Ayofe, B Irwin
    • Year: 2010
    • Journal: Comput. Sci. Telecommun. 29, 56-69
    • Citations: 62
  • Identifying Phishing Attacks in Communication Networks Using URL Consistency Features
    • Authors: NA Azeez, BB Salaudeen, S Misra, R Damaševičius, R Maskeliūnas
    • Year: 2020
    • Journal: International Journal of Electronic Security and Digital Forensics 12 (2)
    • Citations: 60
  • Adopting Automated Whitelist Approach for Detecting Phishing Attacks
    • Authors: NA Azeez, S Misra, IA Margaret, L Fernandez-Sanz
    • Year: 2021
    • Journal: Computers & Security 108, 102328
    • Citations: 54
  • Network Intrusion Detection with a Hashing Based Apriori Algorithm Using Hadoop MapReduce
    • Authors: NA Azeez, TJ Ayemobola, S Misra, R Maskeliūnas, R Damaševičius
    • Year: 2019
    • Journal: Computers 8 (4), 86
    • Citations: 49
  • Ancaee: A Novel Clustering Algorithm for Energy Efficiency in Wireless Sensor Networks
    • Authors: AP Abidoye, NA Azeez, AO Adesina
    • Year: 2011
    • Journal: Scientific Research
    • Citations: 40

Rajorshi Biswas | Link Flooding Attack | Best Researcher Award

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Dr. Rajorshi Biswas | Link Flooding Attack | Best Researcher Award

Assistant Professor at Penn State Berks, United States

Summary:

Dr. Rajorshi Biswas is a dedicated researcher specializing in computer networks and security, aiming to make a significant impact on both academic and industry communities. He holds a B.Sc. in Computer Science & Engineering from Bangladesh University of Engineering & Technology (BUET), completed in July 2014, and is pursuing a Ph.D. in Computer Science at Temple University, expected to be completed in July 2021. Dr. Biswas has a robust professional background, having volunteered as a network administrator at BracNet, worked as a programmer at Aamra Networks Ltd., and served as a teaching assistant for courses in C Programming Language, Software Design, and Android Programming at Temple University. His technical skills encompass a wide range of programming languages, frameworks, databases, and embedded systems. Dr. Biswas has also contributed to various professional projects, including loyalty systems, cloud storage solutions, and internet payment gateways. His research projects, funded by prestigious organizations such as the National Science Foundation and the Office of Naval Research, address critical issues in spectrum allocation, wireless access technologies, military defense, and cyber forensics. Dr. Biswas’s commitment to advancing the field is further demonstrated by his peer-review work for IEEE journals and his mentorship of undergraduate students.

Profile:

Education:

Dr. Rajorshi Biswas holds a B.Sc. in Computer Science & Engineering from Bangladesh University of Engineering & Technology (BUET), where he graduated in July 2014. He pursued his doctoral studies at Temple University, aiming to complete his Ph.D. in Computer Science by July 2021. His educational journey has equipped him with extensive knowledge and expertise in programming techniques, computer architecture, principles of data management, cloud computing, ad hoc networks, operating systems, computer vision, pervasive and mobile systems, distributed systems, computer networking, machine learning, and data-intensive and cloud computing.

Professional Experience:

Dr. Rajorshi Biswas has gained extensive professional experience in both academic and industry settings. From 2012 to 2014, he volunteered as a networks administrator at BracNet, where he developed foundational skills in network management. Following this, he worked as a programmer at Aamra Networks Ltd., Bangladesh, from September 2014 to July 2016, contributing to various software development projects. Since August 2016, Dr. Biswas has been working as a teaching assistant at Temple University, where he has taught courses in C Programming Language, Software Design, and Android Programming. His diverse professional background has equipped him with a comprehensive skill set in programming, network administration, and teaching, making him a valuable asset in both academic and professional environments.

Research Interests:

Dr. Rajorshi Biswas’s research interests lie at the intersection of computer networks and security, with a focus on advancing these fields to benefit both academic and industry communities. He is particularly interested in the study of spectrum allocation efficiency and operation privacy in dynamic spectrum access systems, the coexistence of heterogeneous wireless access technologies, and the development of moving target defense strategies in military organizations. Additionally, Dr. Biswas is engaged in research on cyber forensics toolkits for machinery control, exploring innovative solutions to enhance cybersecurity measures. His work aims to address critical challenges in network security and contribute to the development of robust and efficient systems.

Skills:

Dr. Rajorshi Biswas possesses a diverse set of skills that span across multiple programming languages, frameworks, databases, and embedded systems. His programming expertise includes proficiency in C/C++, Java, PHP, JavaScript, C#, Python, and Android development. He is well-versed in frameworks such as Ajax, CodeIgniter, HMVC CodeIgniter, ASP.NET (MVC), JSP, OpenGL, MapReduce, and MPI. Dr. Biswas has significant experience working with databases like Oracle and MySQL, as well as embedded systems such as Arduino and Atmega32. Additionally, he is skilled in using tools and technologies like Hadoop, Spark, Linux, Cisco Packet Tracer, NS3, and Matlab. His capabilities extend to implementing Linux system calls, driver implementation, and managing shared memory operations, showcasing a comprehensive technical skill set suitable for a wide range of applications in computer science and engineering.

Awards:

Dr. Rajorshi Biswas has been honored with several awards and recognitions for his academic and research contributions. In 2018, he received the prestigious Summer Research Fellowship from Temple University. He has also been actively involved in the academic community as a peer reviewer, evaluating numerous papers for esteemed journals such as IEEE Communication Letters, IEEE Transactions on Communications, and Transactions on Network Science and Engineering. His commitment to excellence in research and academia is reflected in these significant accolades.

Publications:

 

Agerie Mengistie | Intrusion Detection | Best Researcher Award

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Ms. Agerie Mengistie | Intrusion Detection | Best Researcher Award

Intrusion Detection at College of Medicine and Health Sciences, University of Gondar, Ethiopia

Agerie Mengistie is a dedicated professional in the field of midwifery and maternal health, based in Gondar, Ethiopia. With a Bachelor of Science in Midwifery from the University of Gondar and a Master’s degree in Clinical Midwifery from Bahir Dar University, she has honed her expertise in providing comprehensive maternity healthcare services. Currently serving as a Lecturer and Researcher at the University College of Tedda Health Sciences, she plays a pivotal role in monitoring and enhancing the quality of public health research activities. Agerie has a passion for research and has successfully conducted thesis work at both undergraduate and postgraduate levels, demonstrating her commitment to advancing knowledge in her field. With a strong foundation in research methodology and proficiency in statistical software, she is well-equipped to contribute to evidence-based practices and improve maternal health outcomes in Ethiopia.

Profile:

Education

Ms. Agerie Mengistie holds a Master’s degree in Clinical Midwifery (MSc) from Bahir Dar University, Ethiopia, which she completed between February 2014 and June 2016. Prior to her Master’s degree, she obtained a Bachelor of Science in Midwifery (BSc) from the University of Gondar, Ethiopia, from May 2009 to March 2012. These academic qualifications have equipped her with a solid foundation in midwifery and clinical practices, enabling her to pursue a career focused on maternal and reproductive health.

Professional Experience

Ms. Agerie Mengistie has accumulated valuable professional experience in the field of midwifery and healthcare. Since May 2016, she has served as a Lecturer and Researcher in Clinical Midwifery at the University College of Tedda Health Sciences in Gondar, Ethiopia. In this role, she has undertaken various responsibilities, including monitoring and coordinating quality public health research activities, conducting and supervising thesis work for both undergraduate and postgraduate students, assisting senior professors in teaching and research, and contributing to manuscript preparation for peer-reviewed journals. Additionally, Ms. Mengistie has been actively involved in community diagnosis research as part of a team training program, providing research methodology training, and monitoring and evaluating public health services. Her commitment to education and research has significantly contributed to the advancement of midwifery education and healthcare services in her community.

Research Interest

Ms. Agerie Mengistie’s research interests lie in the intersection of midwifery, maternal healthcare, and public health. Specifically, she is passionate about exploring topics related to improving maternal and neonatal health outcomes, enhancing the quality of midwifery care, and advancing evidence-based practices in midwifery education and clinical practice. She is keen on conducting research that addresses key challenges in maternal healthcare delivery, such as reducing maternal mortality and morbidity rates, promoting safe childbirth practices, and ensuring access to comprehensive reproductive health services. Additionally, Ms. Mengistie is interested in investigating innovative approaches to midwifery education and training, as well as exploring the impact of cultural, social, and economic factors on maternal and child health outcomes. Through her research endeavors, she aims to contribute to the development of effective strategies and policies aimed at improving maternal and neonatal health outcomes in Ethiopia and beyond.

Award and Honors

Ms. Agerie Mengistie has been recognized for her dedication and contributions in the field of midwifery and maternal healthcare. She was granted the Induced Abortion Service award by the Ethiopian Midwifery Association in 2018 for her outstanding service in this area. This recognition highlights her commitment to providing quality healthcare services to women in need and acknowledges her significant contributions to the field of midwifery.

Research Skills

Ms. Agerie Mengistie possesses a diverse set of research skills, enabling her to contribute effectively to the advancement of knowledge in the field of midwifery and maternal health. She is proficient in various statistical software including Stata, SPSS, Epi Info, and Epi data software, which enables her to analyze data with precision and accuracy. Additionally, she is skilled in conducting systematic reviews and meta-analyses, demonstrating her ability to synthesize and evaluate existing research literature comprehensively. Moreover, Ms. Mengistie has received training in research methodology, enhancing her capacity to design and execute high-quality research studies. Her proficiency in these research skills equips her to address complex research questions and contribute meaningfully to the evidence-based practice of midwifery.