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:

 

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