Rajender Singh | Machine Learning and Communication | Best Academic Researcher Award

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Mr. Rajender Singh | Machine Learning and Communication | Best Academic Researcher Award

Assistant Professor at JEC, Jabalpur, India

Rajender Singh Yadav is a distinguished academician and researcher with over two decades of experience in the field of Electronics and Communication Engineering. He received his Bachelor of Engineering degree from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, in 2001, and later completed his Master of Technology from the same university in 2010. Presently, he is serving as an Assistant Professor at BGIEM, Jabalpur, where he has been contributing to academic and research activities since March 2022. Throughout his career, he has demonstrated expertise in various cutting-edge areas such as Artificial Intelligence, Robotics, Embedded Systems, and Signal and Image Processing. His dedication to education and research has significantly impacted both students and the academic community.

Profile

Orcid

Education

Rajender Singh Yadav’s academic foundation is firmly rooted in Electronics and Communication Engineering. He began his academic journey at HCET, Jabalpur, Madhya Pradesh, where he pursued his B.E. from 1997 to 2001, equipping himself with essential engineering skills and a solid understanding of communication technologies. To further enhance his expertise, he enrolled in UPTU, Lucknow, where he completed his M.Tech. in Electronics and Communication Engineering between 2007 and 2010. His advanced studies allowed him to deepen his knowledge of sophisticated communication systems, embedded technologies, and AI-driven processes, laying a strong groundwork for his future research endeavors and teaching career.

Experience

With an extensive teaching career spanning over 22 years, Rajender Singh Yadav has amassed a wealth of experience across reputed institutions. He started as a Lecturer at GNIT, Greater Noida, in 2003, where he served for two years. Following this, he worked at AKGEC, Ghaziabad, as a Lecturer and later as an Assistant Professor from 2005 to 2012. His commitment to academic excellence led him to GGITS, Jabalpur, where he spent a decade nurturing young minds as an Assistant Professor. Since 2022, he has been associated with BGIEM, Jabalpur, continuing his journey of mentoring students and advancing research. Over the years, he has successfully blended academic teaching with research innovations, fostering a learning environment focused on technological advancement and real-world application.

Research Interest

Rajender Singh Yadav’s research interests are broad and interdisciplinary, focusing on AI, Robotics, Embedded Systems, and Signal and Image Processing. His passion lies in developing intelligent systems capable of addressing real-time challenges in wireless communication, autonomous robotics, and integrated system designs. He actively explores the synergy between artificial intelligence and hardware systems to optimize performance, reliability, and energy efficiency. His research delves deep into areas like deep reinforcement learning, optimized channel bonding, and intelligent transmit power control mechanisms, all aimed at enhancing wireless network efficiency. His work reflects a keen understanding of current technological trends and a vision for future innovations in electronics and communication engineering.

Award

Although specific awards have not been documented, Rajender Singh Yadav’s professional journey itself stands as a testament to his dedication and excellence. His consistent progression through reputed institutions, long-standing teaching career, and contribution to the academic field highlight the recognition and trust he has garnered within the educational community. His involvement in publishing impactful research in reputed international journals showcases his commitment to scholarly excellence and innovation.

Publication

Rajender Singh Yadav has contributed notably to academic literature. One of his significant publications is titled “Joint Optimization of Channel Bonding and Transmit Power Using Optimized Actor–Critic Deep Reinforcement Learning for Wireless Networks”, published in the International Journal of Communication Systems on May 10, 2025. This research explores the integration of optimized actor–critic deep reinforcement learning models to simultaneously enhance channel bonding and transmit power efficiency in wireless networks. The article has already begun to gain citations and is recognized for its practical approach to complex wireless communication challenges. This work stands out for its novel methodology and potential applications in next-generation network systems, demonstrating his ability to merge theoretical research with practical technological needs.

Conclusion

In conclusion, Mr. Rajender Singh Yadav is a seasoned educator and dedicated researcher whose contributions to Electronics and Communication Engineering have been remarkable. With a solid academic background, a wealth of teaching experience, and a keen interest in advanced research areas like AI and embedded systems, he continues to influence and inspire the academic and research communities. His efforts in mentoring students, developing innovative research solutions, and publishing impactful studies reflect his unwavering commitment to advancing technology and education. As he moves forward in his career, his passion for innovation and excellence promises to bring about significant contributions to the field of communication engineering and beyond.

Mahesh Muthulaskhmi Ramasamy | Data Security | Best Researcher Award

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Mrs. Mahesh Muthulaskhmi Ramasamy | Data Security | Best Researcher Award

JRF at Saveetha School of Engineering, India

R. Mahesh Muthulakshmi is a dedicated academician and researcher in the field of Computer Science and Engineering. With over 12 years of experience in teaching and research, he has significantly contributed to advancements in data security, cloud computing, and artificial intelligence. His commitment to excellence and continuous learning has earned him recognition in academia and research circles.

Profile

Google Scholar

Education

R. Mahesh Muthulakshmi holds a Ph.D. in Computer Science Engineering from Saveetha School of Engineering, SIMATS University, Thandalam, Chennai. He completed his Master of Engineering (M.E.) in Computer Science Engineering from VLB Janakiammal College of Engineering & Technology, affiliated with Anna University, Coimbatore, in May 2009. His academic journey began with a Bachelor of Engineering (B.E.) in Computer Science Engineering from Kamaraj College of Engineering & Technology, Virudhunagar, affiliated with Anna University, Chennai, in May 2007. His strong educational background has laid the foundation for his expertise in research and teaching.

Experience

With an extensive teaching career spanning over a decade, R. Mahesh Muthulakshmi has served as an Assistant Professor in various esteemed institutions. He worked at Indira Gandhi College of Engineering and Technology for Women, Chengalpattu, from May 2011 to November 2021. Prior to that, he held positions at Sri Raaja Raajan College of Engineering and Technology, Karaikudi, and Nehru College of Engineering and Research Center, Pampady, Kerala. His experience has been instrumental in shaping young minds in the field of computer science.

Research Interest

His primary research interests include data security in cloud computing, artificial intelligence, cryptography, and network security. He has extensively worked on encryption techniques, adversarial networks, and machine learning applications in cybersecurity. His research aims to develop robust security solutions to tackle evolving cyber threats and ensure secure data transmission in industrial and healthcare domains.

Awards

R. Mahesh Muthulakshmi has been recognized for his contributions to academia and research. He received the Excellence Award in 2024 from Educators Empowering India. Additionally, he was honored with the Best Poster Award at the 2024 Star Submit SIMATS School of Engineering. His commitment to research and teaching continues to earn him accolades in his field.

Publications

Mahesh Muthulakshmi R and Anithaashri T. P – “An Optimized Dual Generative Hyperbolic Graph Adversarial Network with Multi Factor Random Permutation Pseudo Algorithm based Encryption for Secured Industrial Healthcare Data Transferring.” Transactions on Emerging Telecommunications Technologies (2024) (SCI).

Mahesh Muthulakshmi R and Anithaashri T. P – “Data Security in Cloud Computing Using Maritime Search and Rescue Algorithm.” ICSTSN 2024, Villupuram, India (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “A Robust Approach to Cloud Data Security using an Amalgamation of AES and Code-Based Cryptography.” ICSTEM 2024, Coimbatore, India (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “Novel Weight-Improved Particle Swarm Optimization to Enhance Data Security in Cloud.” I-SMAC 2023, Kirtipur, Nepal (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “Enhancing the Detection of DDoS Attacks in Cloud using Linear Discriminant Algorithm.” ICCES 2023, Coimbatore, India (Scopus).

Mahesh Muthulakshmi R, T. P. Anithaashri, C. Nataraj, V. S. N. Talasila – “Enhancing Data Security in Cloud using Artificial Neural Network with Backward Propagation.” AIP Conf. Proc. 2024 (Scopus, WoS).

Muthulakshmi R. M., Kanimozhi R., Keerthana M., & Sneha V. – “The Security in Online Data Sharing on the Public Server using Secure Key-Aggregate Cryptosystems with Broadcast Aggregate Keys.” International Journal of Advance Research in Science and Engineering, 2018.

Conclusion

R. Mahesh Muthulakshmi is a seasoned academician and researcher dedicated to advancing knowledge in computer science, particularly in cybersecurity and artificial intelligence. His extensive teaching experience, combined with a strong research portfolio, has contributed to the academic community and industry innovations. With numerous research publications, awards, and a passion for technological advancements, he continues to inspire and educate future generations in the field of computer science and engineering.

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.