Nadeem Iqbal | Cryptography | Best Researcher Award

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Dr. Nadeem Iqbal | Cryptography | Best Researcher Award

Associate Professor at The University of Lahore, Pakistan

Nadeem Iqbal is an accomplished academic and researcher, currently serving as an Associate Professor at The University of Lahore, Pakistan. He completed his M.S. from the prestigious National University of Sciences and Technology (NUST), Islamabad, specializing in theorem proving, and later obtained his Ph.D. from NCBA&E. His academic journey is marked by an exceptional GRE quantitative score of 800/800 and an IBM certification in data science. Iqbal is renowned for his research contributions in the fields of cryptography, cybersecurity, and data protection, advancing digital security with innovative encryption algorithms and cryptographic frameworks.

Profile

Google Scholar

Education

Dr. Iqbal’s academic qualifications include an M.S. from NUST, Islamabad, where he specialized in theorem proving, and a Ph.D. from NCBA&E, Pakistan. His strong educational background laid the foundation for his deep research interests in cybersecurity and cryptography. Throughout his educational journey, he exhibited exceptional aptitude, demonstrated by his perfect GRE quantitative score, setting the stage for a career in academia and research. Additionally, his IBM certification in data science reflects his broad expertise in both theoretical and applied aspects of digital security.

Experience

As an Associate Professor at The University of Lahore, Dr. Iqbal has significantly contributed to the academic community through teaching and research. His professional experience includes involvement in over 40 completed and ongoing research projects, with a notable focus on cybersecurity and cryptography. His expertise has not only shaped the academic direction at his institution but also in the wider research community. Dr. Iqbal’s role as a consultant on seven industry projects further showcases his ability to bridge the gap between academia and industry, addressing real-world cybersecurity challenges.

Research Interests

Dr. Iqbal’s primary research interests revolve around cryptography, cybersecurity, and multimedia encryption. He focuses on developing new encryption algorithms, advancing S-box designs, and exploring chaotic maps, chess pieces, and DNA cryptography. His work has enhanced the resilience of digital infrastructures and secured systems against modern cybersecurity threats. Additionally, his research has implications in IoT security, smart cities, and AI-driven cryptographic methods, making significant strides in improving the overall security of digital systems worldwide.

Awards

Muhammad Nadeem Iqbal’s research achievements have not gone unnoticed. He has garnered recognition for his impactful contributions to digital security and cryptography. His innovative research in developing encryption algorithms and advancing cryptographic techniques has been widely cited, establishing him as an authority in the field. Dr. Iqbal’s outstanding academic and professional contributions position him as a strong candidate for the Best Researcher Award. His influence on both academia and industry exemplifies his commitment to advancing digital security, making him a deserving nominee for such honors.

Publications

Dr. Iqbal’s body of work includes 28 journal articles published in prestigious indexed journals. These articles address key aspects of cryptography and cybersecurity, such as the development of novel encryption algorithms and cryptographic frameworks. Some of his key publications include:

Iqbal, M. N., et al. (2020). “A New Approach to S-Box Design for AES Cryptography.” Journal of Cryptographic Engineering.

Iqbal, M. N., & Ahmad, R. (2019). “Chaotic Maps for Secure Communication in IoT Networks.” Cybersecurity and Privacy.

Iqbal, M. N., et al. (2018). “DNA-based Cryptography for Advanced Security Protocols.” International Journal of Cryptology.

Iqbal, M. N., & Shah, T. (2021). “AI-Driven Cryptographic Systems for Next-Generation Security.” Journal of Artificial Intelligence and Cybersecurity.

Iqbal, M. N., et al. (2017). “Multimedia Encryption for Secure Data Transmission in Smart Cities.” Journal of Cybersecurity Research.

Iqbal, M. N., & Khan, M. A. (2022). “Next-Gen Cryptographic Algorithms for Blockchain Security.” Blockchain Technology and Cryptography Journal.

Iqbal, M. N., & Farooq, M. (2019). “Advances in Public Key Cryptography for Secure Cloud Computing.” International Journal of Cloud Computing and Security.

His publications have been widely cited by other researchers in the field, contributing to further advancements in the domain of cybersecurity.

Conclusion

Dr. Muhammad Nadeem Iqbal’s exceptional contributions to cybersecurity and cryptography have established him as a leading figure in the field. His research in encryption algorithms, cryptographic systems, and digital security has had significant implications for enhancing the security of data and digital infrastructures. With a strong academic background, an impressive record of publications, and considerable industry experience, he continues to shape the future of cybersecurity. Dr. Iqbal’s expertise and innovative approach to solving complex security challenges make him a highly deserving candidate for the Best Researcher Award, recognizing his dedication to advancing digital security in the modern era.

Muhammad Dilshad | Data Privacy and Security | AI & Machine Learning Award

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Mr. Muhammad Dilshad | Data Privacy and Security | AI & Machine Learning Award

Student at Quaid e Azam University Islamabad, Pakistan

Muhammad Dilshad is a dedicated and driven professional in the field of Computer and Information Technology. Holding a Master’s degree in Computer and Information Technology (MCIT) from Quaid-i-Azam University, Islamabad, he specializes in Cybersecurity, Networking, Machine Learning, and Blockchain. With practical experience in network performance monitoring and troubleshooting, he has contributed significantly to optimizing infrastructure security. His research interests revolve around enhancing Internet of Vehicles (IoV) security, employing Federated Learning, and integrating Blockchain technology to build decentralized, tamper-resistant frameworks. Proficient in various programming languages and analytical tools, he continually strives to apply emerging technologies for solving real-world security challenges.

Profile

Orcid

Education

Muhammad Dilshad began his academic journey with a strong foundation in science and mathematics, completing his Matriculation from BISE DG Khan Board. He then pursued an Intermediate of Computer Science (ICS) from the same board, gaining expertise in programming and computational concepts. His passion for technology led him to obtain a Bachelor of Science in Information Technology (BSIT) from Bahauddin Zakariya University, Multan, where he honed his skills in web development, networking, and database management. He further advanced his knowledge by earning a Master of Science in Information Technology (MSIT) from Quaid-i-Azam University, Islamabad, specializing in Machine Learning, Federated Learning, Blockchain, and Cybersecurity. His academic excellence is reflected in his impressive CGPAs and his continuous learning through various certifications.

Work Experience

Muhammad Dilshad has amassed valuable hands-on experience through his roles at Pakistan Telecommunication Company Limited (PTCL). He completed an internship at PTCL, where he actively monitored network performance, troubleshot connectivity issues, and assisted in optimizing infrastructure using tools like SolarWinds and CRM. He later transitioned into a Technical Support Associate (TSA) role in PTCL’s USD department, where he provided technical support, resolved network issues, and maintained high customer satisfaction ratings. His work has significantly contributed to improving service reliability and network security within the organization.

Research Interest

With a keen interest in cybersecurity, networking, and advanced computing paradigms, Muhammad Dilshad focuses his research on enhancing security frameworks for the Internet of Vehicles (IoV). His work primarily involves using Machine Learning techniques for DDoS attack detection and employing Federated Learning to create more secure, decentralized architectures. His expertise in Blockchain technology enables him to develop tamper-resistant security frameworks that protect critical data integrity. Additionally, he is passionate about applying Data Science methodologies for predictive analytics, improving network security, and optimizing intelligent systems. His research contributions aim to address contemporary challenges in network security and privacy, with a focus on real-world implementations.

Awards

Muhammad Dilshad has been recognized for his outstanding contributions to the field of Information Technology. His innovative research on IoV security and Blockchain applications has earned him nominations for prestigious awards in academia and industry. His work has been appreciated at international conferences, and he has received accolades for his impactful presentations on cybersecurity and emerging technologies. He continues to seek new opportunities to contribute to the scientific community and enhance technological advancements in cybersecurity and networking.

Publications

IOV Cyber Defense: Advancing DDoS Attack Detection with Gini Index in Tree Models (2024) – Published in a reputed journal, this paper explores the effectiveness of tree-based models in detecting cyber threats in IoV environments. Cited by multiple cybersecurity research articles.

Blockchain-Enabled Secure and Efficient DDoS Attack Detection Mechanisms in Connected Internet of Vehicles Using Federated Learning (2024) – Accepted at the 21st International Conference on Frontiers of Information Technology (FIT 2024). Recognized for innovative integration of Blockchain and Federated Learning.

Efficient DDoS Attack Detection in the Internet of Vehicles Using Gini Index and Federated Learning (2024) – Submitted to MDPI Journal, this paper proposes an advanced security mechanism for IoV systems. Highly relevant for researchers in cybersecurity.

Conclusion

Muhammad Dilshad’s dedication to advancing the fields of cybersecurity, networking, and artificial intelligence is evident in his extensive research and professional experience. His expertise in Machine Learning, Blockchain, and Federated Learning continues to contribute significantly to the development of secure, decentralized systems. Through his work at PTCL and his academic pursuits, he has demonstrated a strong commitment to innovation and problem-solving. With a growing list of publications, awards, and research contributions, he remains at the forefront of technological advancements, striving to make impactful changes in network security and intelligent systems.

Rup Chowdhury | Computer Science | Best Researcher Award

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Mr. Rup Chowdhury | Computer Science | Best Researcher Award

Research Assistant | Military Institute of Science and Technology | Bangladesh

Rup Chowdhury is a passionate and ambitious individual with a strong foundation in computer science and engineering. With a stellar academic record and a keen interest in emerging technologies, Rup has consistently demonstrated an aptitude for tackling challenges in both academic and professional spheres. Driven by a proactive attitude and an eagerness to contribute to cutting-edge innovations, Rup aspires to make significant strides in technology and research.

Profile

Scopus

Education

Rup Chowdhury has excelled academically throughout their educational journey. After achieving a perfect GPA of 5.00 in the Science stream during the Secondary School Certificate (SSC) from Brahmondi K.K.M. Govt. High School in 2016, Rup continued to thrive with a GPA of 4.33 in the Higher Secondary Certificate (HSC) at Narsingdi Govt. College in 2018. Further academic pursuits led to a Bachelor of Science in Computer Science and Engineering (CSE) from Notre Dame University Bangladesh, where Rup graduated with a CGPA of 3.91 out of 4.00.

Experience

Rup’s professional journey includes working as a Trainee Engineer at Onesky Communication Limited from September to November 2023, gaining hands-on experience in networking and Android development. Additionally, Rup held the position of Junior Question/Answer Executive at Udvash-Unmesh Shikha Poribar in February 2024. This blend of academic and professional exposure has equipped Rup with a diverse skill set, including expertise in Flutter, Java, machine learning, and MySQL database management.

Research Interest

Rup’s research interests lie at the intersection of artificial intelligence, sustainable technology, and IoT-based systems. Focused on addressing real-world challenges, Rup has delved into AI-driven precision farming and priority-based traffic management systems. A proactive researcher, Rup consistently seeks innovative solutions that contribute to sustainable development and enhance the quality of life.

Awards

Rup’s achievements underscore a commitment to excellence and innovation. Key highlights include:

  • 5th Position at the “KYAU National Hackathon 2023.”
  • Presenter at the 3rd International Conference on Trends in Electronics and Health Informatics 2023.

These accolades reflect Rup’s ability to excel in competitive environments and contribute meaningfully to collaborative projects.

Publications

  1. Rup Chowdhury, Md. Nazmul Islam, Prapti Das, Fernaz Narin Nur, and A.H.M. Saiful Islam: “AI-based Precision Farming for Sustainable Agriculture in Bangladesh,” presented at the 3rd International Conference on Trends in Electronics and Health Informatics 2023.
    • Cited by: Articles emphasizing AI-driven sustainability.
  2. Niloy, Ahnaf Chowdhury, Md Ashraful Bari, Jakia Sultana, Rup Chowdhury, et al.: “Why do students use ChatGPT? Answering through a triangulation approach,” published in Computers and Education: Artificial Intelligence (2024).
    • Cited by: Studies exploring AI adoption in education.

These publications highlight Rup’s contribution to advancing AI and its applications.

Conclusion

Rup Chowdhury embodies a dynamic blend of academic excellence, research prowess, and professional skills. With a clear vision of contributing to sustainable and innovative solutions, Rup continues to pursue opportunities that foster growth and create a meaningful impact in technology and society.