Abdul Razaque | Cybersecurity | Best Researcher Award

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Prof. Dr. Abdul Razaque | Cybersecurity | Best Researcher Award

Professor | Satbayev University | Kazakhstan

Prof. Dr.Abdul Razaque is an accomplished cybersecurity and computer science scholar with more than twenty years of academic, research, and industry experience spanning the United States, Kazakhstan, China, South Korea, France, Morocco, and Pakistan. Currently a Professor of Cybersecurity at Satbayev University and a Postdoctoral Researcher at Gachon University, he has previously served in multiple tenure-track positions, directed international IT projects for UNESCO, and contributed to national ICT initiatives. His research expertise covers cybersecurity, IoT, cloud and edge computing, artificial intelligence, blockchain systems, wireless sensor networks, and smart-city technologies. He has authored more than 200 peer-reviewed publications, including high-impact Q1 journals such as Computer Science Review, IEEE Access, Sensors, Internet of Things, and Future Generation Computer Systems, alongside several books and book chapters. His work has accrued thousands of citations globally, reflecting sustained scholarly influence across interdisciplinary domains. As Principal Investigator or Co-Investigator, he has secured over US$6 million in competitive national and international research funding, leading large-scale projects in intelligent systems, cybersecurity frameworks, image-based monitoring, smart city infrastructures, and privacy-preserving architectures. His collaborative network spans leading institutions across the United States, Korea, Kazakhstan, Saudi Arabia, Europe, and South Asia, with repeated partnerships involving multidisciplinary teams of engineers, computer scientists, medical researchers, and industry stakeholders. Throughout his career, he has demonstrated a commitment to societal impact by developing scalable technologies for public safety, healthcare, digital governance, secure urban infrastructure, and advanced educational systems. His contributions extend to mentoring students, advising theses, shaping curricula, and promoting global research exchange. Recognized with awards including the Best Engineering Student Researcher Award, and supported by extensive professional certifications in cybersecurity, data science, AI, and enterprise technologies, he represents a globally engaged researcher dedicated to advancing secure, intelligent, and equitable digital ecosystems.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

Almiani, M., AbuGhazleh, A., Al-Rahayfeh, A., Atiewi, S., & Razaque, A. (2020). Deep recurrent neural network for IoT intrusion detection system. Simulation Modelling Practice and Theory, 101, 102031.

Razaque, A., Bleakley, C., & Dobson, S. (2013). Compression in wireless sensor networks: A survey and comparative evaluation. ACM Transactions on Sensor Networks (TOSN), 10(1), Article 5.

Adnan, M., Razaque, A., Ahmed, I., & Isnin, I. F. (2014). Bio-mimic optimization strategies in wireless sensor networks: A survey. Sensors, 14(1), 299–345.

Al-lQubaydhi, N., Alenezi, A., Alanazi, T., Senyor, A., Alanezi, N., Alotaibi, B., … Razaque, A. (2024). Deep learning for unmanned aerial vehicles detection: A review. Computer Science Review, 51, 100614.

Razaque, A., & Sallah, M. (2013). The use of mobile phone among farmers for agriculture development. International Journal of Scientific Research, 2, 95–98.

Abdul Razaque’s work advances secure, intelligent, and scalable digital systems that strengthen cybersecurity, smart-city infrastructure, and data-driven decision-making across governments, industry, and academia. By integrating AI, blockchain, and IoT technologies into real-world solutions, he enhances public safety, operational efficiency, and technological resilience. His vision is to build globally accessible, trustworthy, and innovative digital ecosystems that drive sustainable societal and economic progress.

Fengyu Liu | Computer Science | Best Researcher Award

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Dr. Fengyu Liu | Computer Science | Best Researcher Award

PhD candidate at Southeast University, China

Fengyu Liu is a dedicated researcher specializing in deep learning, integrated navigation, intelligent unmanned systems, multi-sensor fusion, and SLAM (Simultaneous Localization and Mapping). He has authored 10 academic papers, including 5 SCI-indexed Q1 journal articles, and has contributed significantly to the fields of robotics and sensor technology. With 5 domestic invention patents and 1 PCT patent, his work demonstrates a strong focus on innovation. He has received numerous awards, including the National Scholarship and the Southeast University ‘Zhishan’ Scholarship, and has won four national and provincial-level first prizes in student competitions. He actively participates in academic conferences and serves as a reviewer for IEEE TIM, IEEE Sensor Journal, and MST journals. His research contributions and leadership in the academic community make him a promising figure in the field of intelligent navigation and robotics.

Professional Profile

Education

Fengyu Liu earned his B.S. degree in Electronic Science and Technology from the School of Instrument and Electronics, North University of China, in 2020. Currently, he is pursuing a Ph.D. in Instrument Science and Technology at the School of Instrument Science and Engineering, Southeast University, Nanjing, China. His doctoral research focuses on deep learning-driven navigation, SLAM, and multi-sensor fusion for intelligent unmanned systems. Throughout his academic journey, he has been recognized for his outstanding performance, receiving prestigious scholarships and awards for academic excellence and research contributions.

Professional Experience

During his undergraduate studies, Fengyu Liu served as the Chair of the Embedded Laboratory at the Innovation Elite Research Institute, where he led multiple student research projects. He has been actively involved in presenting at international conferences, including the 2023 International Conference on Robotics, Control, and Vision Engineering (Tokyo) and the China-Russia “Navigation and Motion Control” Youth Forum (2024, Nanjing). His research findings have been published in top-tier journals, and he has contributed as a reviewer for leading IEEE journals. His expertise in SLAM, sensor fusion, and AI-driven navigation technologies has led to patents and real-world applications, making him a key contributor to the advancement of autonomous systems and intelligent robotics.

Research Interests

Fengyu Liu’s research focuses on deep learning, integrated navigation, intelligent unmanned systems, multi-sensor fusion, and simultaneous localization and mapping (SLAM). His work explores advanced sensor fusion techniques, including the integration of LiDAR, cameras, inertial measurement units (IMUs), and deep learning models to enhance navigation accuracy and autonomy in complex environments. He is particularly interested in developing robust localization algorithms for dynamic and unstructured environments, with applications in robotics, autonomous vehicles, and aerospace navigation. His contributions to AI-driven SLAM and vision-based perception systems aim to improve real-time mapping, object recognition, and motion estimation for next-generation autonomous systems.

Awards and Honors

Fengyu Liu has received multiple prestigious awards, including the National Scholarship and the Southeast University ‘Zhishan’ Scholarship, recognizing his academic excellence. He has won four first prizes at national and provincial-level university student competitions, demonstrating his problem-solving skills and technical expertise. His research has also been recognized at academic conferences, earning him the Outstanding Paper Award at the 2022 Science and Technology Workers Seminar of the Chinese Society of Inertial Technology. His participation in international research forums, such as the China-Russia “Navigation and Motion Control” Youth Forum (2024, Nanjing), further highlights his growing impact in the field.

Research Skills

Fengyu Liu possesses a diverse skill set in deep learning, computer vision, and multi-sensor data fusion, particularly for robotics and autonomous navigation. He is proficient in developing AI-based SLAM algorithms, sensor calibration techniques, and real-time embedded system implementations. His expertise extends to software tools and programming languages, including Python, MATLAB, C++, TensorFlow, and PyTorch, which he utilizes for machine learning and signal processing applications. He has hands-on experience with robotic perception systems, LiDAR-based mapping, and inertial navigation technologies, contributing to multiple high-impact research projects. Additionally, his role as a peer reviewer for IEEE TIM, IEEE Sensor Journal, and MST journals reflects his strong analytical and critical evaluation skills in cutting-edge research.

Conclusion

Fengyu Liu is a highly promising young researcher with strong academic contributions, patents, and international recognition. His research in SLAM, deep learning, and multi-sensor fusion aligns with cutting-edge advancements in robotics and AI. His leadership roles, awards, and editorial responsibilities further strengthen his profile.

For the Best Researcher Award, he is a strong candidate, but additional international collaborations, funded research projects, and industry partnerships could further enhance his competitiveness for top-tier global research awards.

Publications Top Noted

  • Confidence Factor Based Robust Localization Algorithm with Visual-Inertial-LiDAR Fusion in Underground Space

  • LiDAR-Aided Visual-Inertial Odometry Using Line and Plane Features for Ground Vehicles

    • Authors: Jianfeng Wu, Xianghong Cheng, Fengyu Liu, Xingbang Tang, Wengdong Gu
    • Year: 2025
    • DOI: 10.1109/TVT.2025.3527472

  • Spatial Feature Recognition and Layout Method Based on Improved CenterNet and LSTM Frameworks

  • Transformer-Based Local-to-Global LiDAR-Camera Targetless Calibration With Multiple Constraints

  • Spacecraft-DS: A Spacecraft Dataset for Key Components Detection and Segmentation via Hardware-in-the-Loop Capture

  • A Visual SLAM Method Assisted by IMU and Deep Learning in Indoor Dynamic Blurred Scenes

  • A Spatial Layout Method Based on Feature Encoding and GA-BiLSTM

  • Combination of Iterated Cubature Kalman Filter and Neural Networks for GPS/INS During GPS Outages

    • Authors: Fengyu Liu, Xiaohong Sun, Yufeng Xiong, Huang Haoqian, Xiao-ting Guo, Yu Zhang, Chong Shen
    • Year: 2019
    • DOI: 10.1063/1.5094559

Malathi S | Computer Science | Best Researcher Award

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Dr. Malathi S | Computer Science | Best Researcher Award

Assistant Professor at  Swami Dayananda College of Arts &Science, Manjakkudi, India.

Dr. S. Malathi is a highly accomplished academic and educator with a rich background in Computer Science 🌟. With an impressive 25 years of teaching experience, she has held esteemed positions, including Head & Assistant Professor and Principal 👩‍🏫. Dr. Malathi holds a Ph.D. from Manonmaniam Sundaranar University, an M.Phil. from Periyar University, and an M.Sc. from Sengamala Thayaar Educational Trust Women’s College 🎓. She has significantly contributed to research and academia, authoring a book on HTML and JavaScript and editing several conference proceedings 📚. Fluent in Tamil and English, Dr. Malathi has also mentored numerous Ph.D. and M.Phil. candidates 🗣️. Her dedication to advancing education and research in Computer Science is evident in her numerous accolades and her role in shaping future scholars 🌍..

Professional Profile:

📚 Education

Ph.D. in Computer Science Manonmaniam Sundaranar University, March 201  M.Phil. in Computer Science
Periyar University, June 2006 (72%)M.Sc. in Computer Science Sengamala Thayaar Educational Trust Women’s College, April 1999 (76%)B.Sc. in Computer ScienceSengamala Thayaar Educational Trust Women’s College, April 1997 (72%)

👩‍🏫 Professional  Experience

Dr. S. Malathi’s professional experience spans over 25 years of dedicated service in the field of Computer Science 👩‍🏫. She began her career as the Head & Assistant Professor at Rabiammal Ahamed Maideen College for Women, Tiruvarur, where she served for nearly 18 years, making significant contributions to both teaching and administrative roles 📚. Currently, she is an Assistant Professor at Swami Dayananda College of Arts & Science, Manjakkudi, where she continues to inspire and mentor students 💡. Dr. Malathi also held the position of Principal at Nethaji Subash Chandrabose College, Tiruvarur, showcasing her leadership and organizational skills 🏢. Her extensive experience in academia is complemented by her active involvement in research and publication, making her a respected figure in her field 🌟.

🔍 Research Interest

Dr. S. Malathi’s research interests are centered on advancing the field of Computer Science through innovative and practical applications 🧠. She is particularly passionate about exploring the latest trends in artificial intelligence, machine learning, and data analytics 🤖. Her work aims to develop intelligent systems that enhance decision-making processes and address real-world challenges in various domains, including healthcare and education 💡. Dr. Malathi is also dedicated to investigating the ethical implications of emerging technologies, ensuring that her research contributes to responsible and sustainable advancements 🌱. Her commitment to integrating theoretical knowledge with practical solutions positions her as a leading researcher in her field 🌟.

🏆 Award and Honor 

Dr. Malathi has been honored with numerous awards and accolades throughout her illustrious career 🌟. She has received prestigious research grants and fellowships, recognizing her groundbreaking contributions to her field 💼. Her work has earned her several ‘Best Paper’ awards at international conferences, showcasing her excellence in research and innovation 🏆. Additionally, Dr. Malathi has been named ‘Researcher of the Year’ by renowned academic institutions, reflecting her leadership and influence in the scientific community 🥇. Her achievements are a testament to her dedication, expertise, and the significant impact she has made in advancing knowledge and technology globally 🌍.

🔍 Research skill

Dr. Malathi possesses a diverse and impressive array of research skills that set her apart in her field 🔍. She excels in advanced data analysis and statistical modeling, enabling her to draw meaningful insights from complex datasets 📊. Her proficiency in utilizing cutting-edge technologies, such as artificial intelligence and machine learning, allows her to develop innovative solutions to pressing challenges 🤖. Dr. Malathi is also adept at designing and conducting rigorous experiments, ensuring the reliability and validity of her findings 🧪. Her strong writing and communication skills facilitate the clear dissemination of her research through high-impact publications and presentations 📚. Additionally, her collaborative nature and leadership abilities foster productive partnerships with interdisciplinary teams, driving forward groundbreaking research projects 🌐.

🌟 Achievements

  • 🌟 Recognized as ‘Researcher of the Year’ by multiple academic institutions.
  • 🏆 Received numerous ‘Best Paper’ awards at international conferences.
  • 📚 Published extensively in prestigious journals and high-impact publications.
  • 💼 Secured prestigious research grants and fellowships.
  • 🤝 Led successful interdisciplinary research projects and collaborations.
  • 🌍 Made significant contributions to advancing technology and practical applications in healthcare and education.
  • 🧬 Developed innovative artificial intelligence and machine learning solutions.
  • 📊 Excelled in advanced data analysis and statistical modeling.
  • 🧪 Designed and conducted rigorous and reliable experiments.
  • 👩‍🏫 Mentored and guided numerous students and emerging researchers.

📚 Projects

  • 🤖 Developed an AI-driven healthcare diagnostic tool to improve patient outcomes.
  • 📚 Led a project on personalized learning systems for enhancing educational experiences.
  • 🌐 Conducted a cross-disciplinary study on the ethical implications of AI in society.
  • 💡 Innovated machine learning models for predictive analytics in healthcare.
  • 🧪 Directed experimental research on integrating AI with traditional medical practices.
  • 🏢 Collaborated with industry partners to create intelligent business solutions.
  • 🌱 Investigated the sustainability of AI technologies in various applications.
  • 📊 Analyzed large datasets for insights into public health trends and strategies.
  • 🔍 Worked on developing robust statistical models for complex data interpretation.
  • 🌟 Managed an international research consortium focused on next-gen technology applications.

Publications📜

  • “An Effective Prevention of Attacks Using gI Time Frequency Algorithm Under DDoS”
    • Authors: K. Kuppusamy, S. Malathi
    • Year: 2011
    • Journal: International Journal of Network Security & Its Applications
    • Cited By: 9
    • 📖🔐
  • “Prevention of Attacks Under DDoS Using Target Customer Behavior”
    • Authors: K. Kuppusamy, S. Malathi
    • Year: 2012
    • Journal: International Journal of Computer Science Issues (IJCSI)
    • Cited By: 4
    • 📖🔍
  • “Design and Implementation of Controlling with Preventing DDOS Attacks Using Bitcoin by Ethereum Blockchain Technology”
    • Authors: R. Akilandeswari, S. Malathi
    • Year: 2022
    • Journal: Journal of Transportation Security
    • Cited By: 2
    • 📖💻🔗
  • “Enhancing Trustworthiness Among IoT Network Nodes with Ensemble Deep Learning-Based Cyber Attack Detection”
    • Author: DSMSR Begum
    • Year: 2024
    • Journal: Expert Systems with Applications
    • 📖🔒🤖
  • “Effective Working Principles of Back Office in the Rural Sector Using Multiprotocol Label Switching”
    • Author: DSMMR Rajagopal
    • Year: 2024
    • Journal: International Journal of Intelligent Systems and Applications in Engineering
    • 📖🏢🌾
  • “Correction to: Design and Implementation of Controlling with Preventing DDOS Attacks Using Bitcoin by Ethereum Blockchain Technology”
    • Authors: R. Akilandeswari, S. Malathi
    • Year: 2023
    • Journal: Journal of Transportation Security
    • 📖🔄💻

 

Ram Baksh | Cryptography | Best Researcher Award

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Mr. Ram Baksh | Cryptography | Best Researcher Award

Research Scholar of Jamia Millia Islamia , India

Mr. Ram Baksh is an accomplished academic professional and current Assistant Professor at Dyal Singh College, University of Delhi 🎓. With a strong background in Mathematics, he completed his M. Tech in Computational Science and Data Processing (CSDP) from IIT Kharagpur 🏫 and earned his M.Sc in Mathematics from BHU Varanasi 📚. His academic journey began with a B.Sc in Mathematics, Physics, and Chemistry from CSJM University Kanpur 🎓. Mr. Baksh has also achieved notable rankings in competitive exams, including a 140 AIR in CSIR-NET and a 111 AIR in GATE 🥇. His career is marked by a commitment to excellence in teaching and research, making significant contributions to the academic community 🏆.

Professional Profile:

Education🎓 

Mr. Ram Baksh’s educational journey reflects his dedication to Mathematics and computational sciences 📚. He earned his M. Tech in Computational Science and Data Processing (CSDP) with a notable GPA of 7.62/10 from IIT Kharagpur in 2012 🏆. Prior to that, he completed his M.Sc in Mathematics with a GPA of 7.52/10 from BHU Varanasi in 2008 🎓. His foundational studies include a B.Sc in Mathematics, Physics, and Chemistry, graduating with 55.85% from CSJM University Kanpur in 2006 📖. Mr. Baksh’s solid academic background underpins his current role as an Assistant Professor and contributes to his ongoing research and teaching excellence 🌟.

Professional Experience 💼

Mr. Ram Baksh has been dedicated to the field of academia since July 31, 2013, serving as an Assistant Professor at Dyal Singh College, University of Delhi 📚. His role involves teaching and mentoring students in Mathematics, leveraging his extensive knowledge and experience to enhance the learning environment 🎓. With a strong background in computational science and data processing, Mr. Baksh contributes to research and curriculum development, furthering the academic goals of his institution 🌟. His ongoing commitment to education and research reflects his passion for advancing mathematical sciences and fostering academic growth 👨‍🏫.

Research interest🔍

Mr. Ram Baksh’s research interests are deeply rooted in the field of Mathematics, focusing on Computational Science and Data Processing 🔬. His work explores advanced mathematical models and algorithms to solve complex problems in data analysis and computational systems 📊. He is particularly interested in applying these mathematical techniques to real-world scenarios, including optimization problems and algorithm design 🧮. Mr. Baksh is committed to advancing the understanding of mathematical theories and their practical applications, contributing to both academic research and practical solutions 💡. His passion for these areas reflects his dedication to expanding the boundaries of mathematical sciences and their impact on technology and industry 🌐.

Award and Honor🏅

Mr. Ram Baksh has been recognized for his exceptional contributions in the field of mathematics with notable awards and honors 🏅. He achieved a high rank in the CSIR-NET examination, securing 140 AIR 🎓, and demonstrated strong performance in GATE exams, with rankings of 111 AIR in Mathematics at IIT Guwahati and 593 AIR at IIT Roorkee 🏆. These accomplishments highlight his deep expertise and dedication to the field. His work has been acknowledged through various accolades and is a testament to his commitment to advancing mathematical research and education 📚.

Research Skill🔍

Mr. Ram Baksh possesses a strong foundation in advanced mathematical concepts and research methodologies 🧠. His research skills are marked by his proficiency in analytical techniques and problem-solving abilities 🔍. He is adept at applying complex mathematical theories to real-world problems, showcasing his expertise in both theoretical and applied mathematics 📐. His experience includes conducting rigorous analyses, developing innovative solutions, and contributing to academic research through various publications and projects 📚. His commitment to research excellence is evident in his ability to tackle challenging problems and advance knowledge in his field 🌟.

Achievements🏆

  • Master’s Degree Completion (2012) 🎓: Successfully completed M. Tech (CSDP) at IIT, Kharagpur with a commendable score of 7.62/10 🏆.
  • Outstanding GATE Performance (2009 & 2010) 🥇: Secured AIR 593 in GATE (2009) and AIR 111 in GATE (2010) 📊.
  • CSIR-NET Achievement (2010) 📜: Achieved AIR 140 in CSIR-NET (June) for Mathematics 🏅.
  • Academic Excellence (2008) 📖: Earned an M.Sc in Mathematics with a performance score of 7.52/10 at BHU Varanasi 📚.
  • Bachelor’s Degree Success (2006) 🏅: Completed B.Sc in Mathematics, Physics, and Chemistry with 55.85% from CSJM University Kanpur 🏫.
  • Assistant Professor Role (2013 – Present) 👨‍🏫: Serving as an Assistant Professor at Dyal Singh College, University of Delhi, contributing to academic growth and research 🌟.

Projects📊

  • Advanced Data Analysis Techniques 📊: Development and application of cutting-edge data analysis methods for mathematical modeling and real-world problem-solving 🔍.
  • Mathematical Modeling of Complex Systems 🔬: Conducted research on creating mathematical models to simulate and understand complex systems in various fields 🔄.
  • Optimization Algorithms Development ⚙️: Worked on designing and improving optimization algorithms to enhance performance and efficiency in computational tasks 🚀.
  • Educational Technology Integration 💻: Implemented modern technology tools to enrich the learning experience in mathematics and enhance educational methodologies 🌐.
  • Quantitative Research Methods 📈: Applied quantitative research techniques to gather and analyze data, providing insights and solutions to complex mathematical problems 🧠.

Publications📜

  • “A comprehensive and secure scheme for privacy-preserving smart meter data aggregation in the smart grid”
    • Authors: Ram Baksh, S. Itoo, M. Ahmad
    • Year: 2024
    • Journal: Sustainable Energy, Grids and Networks
    • Volume: 39
    • Article Number: 101461
    • Citations: 0 🏅📉
  • “A robust ECC-based authentication framework for energy internet (EI)-based vehicle to grid communication system”
    • Authors: S. Itoo, L.K. Som, M. Ahmad, Ram Baksh, F.S. Masoodi
    • Year: 2023
    • Journal: Vehicular Communications
    • Volume: 41
    • Article Number: 100612
    • Citations: 10 📈🎯