Tursun Mamat | Engineering | Best Researcher Award

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Mr. Tursun Mamat | Engineering | Best Researcher Award

Professor from Xinjiang Agriculture University, China

Dr. Tuerxun Maimaiti is an Associate Professor at Xinjiang Agricultural University in the College of Transportation & Logistics Engineering, specializing in Traffic Engineering and Intelligent Transportation Systems. He serves as the Director of the College Laboratory and the Head of the Engineering Research Center for Intelligent Transportation. His research interests focus on driving behavior, traffic safety, vehicle-road coordination, and the environmental impact of traffic. With a strong academic background, including a Ph.D. in Transport Engineering from Nanjing Agricultural University and experience as a visiting Ph.D. student at Dalhousie University, he combines technical expertise with practical solutions for modern traffic challenges. Dr. Maimaiti is a prolific researcher with numerous published works in the field and leads multiple innovative research projects aimed at improving traffic systems, safety, and environmental sustainability.

Professional Profile

Education

Dr. Tuerxun Maimaiti holds a Ph.D. in Transport Engineering from Nanjing Agricultural University, awarded in 2017. His educational background also includes a Master’s degree in Computer Science from Xinjiang Agricultural University in 2008 and a Bachelor’s degree in Computer Application from Wuhan University in 2000. Additionally, Dr. Maimaiti pursued a visiting Ph.D. in Computer Science at Dalhousie University in 2013, where he expanded his expertise in computational techniques, particularly in the context of transportation systems. His education has equipped him with a strong foundation in both engineering and computer science, allowing him to bridge the gap between traffic engineering and technology.

Professional Experience

Dr. Maimaiti’s professional career spans over two decades, with significant experience in both academic and research settings. He began his academic career as a Teaching Assistant at Xinjiang Agricultural University from 2000 to 2005 before becoming an Associate Professor at the same institution in 2015. He also serves as the Director of the College Laboratory and Head of the Engineering Research Center for Intelligent Transportation. His leadership in these roles has contributed to the development of cutting-edge research and educational programs in the field of transportation engineering. Dr. Maimaiti has also managed several large-scale research projects, demonstrating his ability to combine academic knowledge with practical applications in the transportation sector.

Research Interests

Dr. Maimaiti’s research interests lie in several critical areas within traffic engineering and intelligent transportation systems. His primary focus includes studying driving behavior, road traffic safety, and the environmental impacts of traffic, particularly carbon emissions from urban roads. He has a strong interest in vehicle-road collaboration and its impact on traffic safety and efficiency. Additionally, Dr. Maimaiti explores the potential of digital twin technology in transportation systems and traffic simulations to improve infrastructure management and safety measures. His work aims to integrate ecological driving practices and intelligent transportation technologies to create sustainable, safe, and efficient transportation systems.

Research Skills

Dr. Maimaiti possesses a broad range of research skills that include expertise in traffic simulation, data analysis, and the application of machine learning techniques in transportation systems. He is proficient in using advanced algorithms, including YOLO v5s, for detecting pavement cracks and deep learning models for emission prediction. His research skills also extend to the development of intelligent systems for road maintenance, traffic data mining, and the optimization of toll collection systems. His ability to combine theoretical knowledge with practical applications has enabled him to lead several successful research projects that address both current and future challenges in transportation engineering.

Awards and Honors

While specific awards and honors were not listed in the provided details, Dr. Maimaiti’s impressive academic and professional record suggests that he has made significant contributions to the field of transportation engineering. His leadership in multiple high-profile research projects and the successful application of advanced technologies in real-world transportation systems reflect the recognition he has received from both academic and industry communities. His continued work in intelligent transportation systems and sustainable traffic solutions is likely to attract further recognition and accolades in the near future.

Conclusion

Dr. Tuerxun Maimaiti is an accomplished researcher and academic in the field of Traffic Engineering, with a strong focus on intelligent transportation systems and sustainable traffic management. His research on driving behavior, traffic safety, and vehicle-road collaboration has the potential to significantly impact transportation systems worldwide. Dr. Maimaiti’s expertise in utilizing advanced technologies like deep learning and digital twins enhances the practical application of his research. His extensive professional experience and leadership in large-scale projects further demonstrate his capabilities. While his impact is already notable, expanding his research into broader interdisciplinary areas and increasing the visibility of his work could further elevate his contributions. Overall, Dr. Maimaiti’s work in traffic engineering and intelligent transportation systems makes him a strong candidate for prestigious research awards.

Publications Top Notes

  1. Title: Improved Asphalt Pavement Crack Detection Model Based on Shuffle Attention and Feature Fusion
    Authors: Mamat, Tursun; Dolkun, Abdukeram; He, Runchang; Nigat, Zulipapar; Du, Hanchen
    Journal: Journal of Advanced Transportation
    Year: 2025

Sandeep Belidhe | Engineering | Best Innovation Award

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Mr. Sandeep Belidhe | Engineering | Best Innovation Award

DevSecOps Engineer at Sparksoft Corp, United States

Sandeep Belidhe is a highly experienced IT professional with over 10.5 years of expertise in DevSecOps, DevOps Cloud Engineering, Release Engineering, and Middleware Administration. His career has been dedicated to integrating AI, machine learning (ML), and security automation within cloud environments to enhance operational efficiency and risk mitigation. Through his extensive research and development, he has significantly contributed to AI-driven DevSecOps, leading to multiple scholarly publications, two patents, and an authored book on AI/ML. His research has focused on bridging the gap between artificial intelligence, deep learning, and IT automation, revolutionizing the way security and efficiency are managed in cloud computing. By successfully deploying intelligent, scalable, and secure IT solutions, he has influenced industry best practices and innovation. Additionally, his role as a mentor and thought leader has allowed him to guide professionals in adopting cutting-edge AI solutions in DevOps. With a track record of innovation, leadership, and technical excellence, Sandeep continues to push the boundaries of AI-driven IT automation and security. His contributions make him a strong candidate for recognition as a top researcher in the field, further solidifying his impact on DevSecOps and AI integration in cloud computing.

Professional Profile

Education

Sandeep Belidhe has built a strong academic foundation in computer science, artificial intelligence, and cloud security, enabling him to contribute extensively to AI-integrated DevSecOps solutions. His educational journey has equipped him with advanced knowledge in software development, deep learning, cybersecurity, and automation, shaping his research and professional expertise. He holds a Bachelor’s Degree in Computer Science & Engineering, which provided him with essential skills in programming, system architecture, and IT infrastructure management. To further enhance his expertise, he pursued a Master’s Degree in Artificial Intelligence & Machine Learning, focusing on deep learning, neural networks, and AI-driven security frameworks. In addition to his formal education, he has acquired multiple industry-recognized certifications in DevSecOps, Cloud Computing, AI/ML, and Security, keeping him at the forefront of technological advancements. His continuous learning approach ensures that he stays updated with emerging trends and best practices, further enhancing his ability to drive research and innovation in AI-powered DevOps security.

Professional Experience

Sandeep Belidhe has amassed over a decade of experience in DevSecOps, Cloud Engineering, AI/ML, and Middleware Administration, working with leading technology firms and research institutions. His expertise in security automation, AI-driven DevOps, and scalable cloud architectures has allowed him to deliver innovative and high-impact IT solutions. Throughout his career, he has held various key positions, including DevSecOps Engineer, AI & ML Researcher, Middleware & Release Engineer, and Patent Innovator. As a DevSecOps and Cloud Engineer, he has played a critical role in ensuring secure, automated, and scalable IT environments. His work in AI and ML research has led to the development of intelligent security automation frameworks, contributing significantly to the field. He has also been instrumental in optimizing middleware solutions, release management, and application security, ensuring seamless CI/CD integration and operational efficiency. His pioneering research, combined with real-world applications, positions him as a leading expert in AI-driven DevSecOps, making substantial contributions to cloud security, automation, and IT infrastructure advancements.

Research Interest

Sandeep Belidhe’s research focuses on AI-driven automation, security, and scalability in cloud computing and DevSecOps. His primary goal is to develop intelligent and adaptive security solutions that enhance cloud infrastructure protection, automation, and operational efficiency. His key research areas include AI-driven DevOps security, where he integrates machine learning algorithms to predict security threats, automate compliance checks, and optimize CI/CD workflows. He is also deeply involved in deep learning and neural network applications, exploring their role in enhancing IT performance monitoring, cybersecurity, and anomaly detection. Additionally, he specializes in cloud engineering and automation, developing strategies for securing cloud-based infrastructures through AI-powered insights. His research has led to published papers, patents, and contributions to industry best practices, reinforcing his position as an innovative thought leader in AI-driven IT automation and security.

Research Skills

Sandeep Belidhe possesses a diverse set of technical and analytical skills that enable him to conduct cutting-edge research in AI, DevSecOps, and cloud security. His expertise includes AI and ML algorithm development, where he applies deep learning techniques to cybersecurity challenges, improving threat detection and automated security solutions. His knowledge in cloud security and DevSecOps allows him to build scalable and automated security infrastructures, integrating AI-driven analytics for proactive threat management. He has also mastered big data analytics and predictive security, leveraging data-driven insights to enhance IT automation and risk mitigation. Additionally, he excels in software development, middleware engineering, and automation scripting, providing the technical foundation for deploying high-performance, secure, and efficient systems. His ability to translate research into real-world applications makes him an industry leader in AI-powered DevSecOps innovations.

Awards and Honors

Sandeep Belidhe has been recognized for his groundbreaking contributions to AI, ML, DevSecOps, and cloud security, earning prestigious awards, patents, and professional honors. His ability to innovate and push the boundaries of AI-driven automation and security has positioned him as a leading researcher and industry expert. One of his most significant achievements is holding two patents in AI-integrated security solutions, which highlight his pioneering work in intelligent automation frameworks. Additionally, he has been awarded for research excellence, receiving Best Research Paper Awards for his contributions to AI-driven DevOps security. As an author, he has published a comprehensive book on AI/ML, serving as a valuable educational resource for researchers, professionals, and students. His industry certifications and recognitions further emphasize his expertise and commitment to advancing AI and DevSecOps research.

Conclusion

Sandeep Belidhe is a distinguished researcher and IT professional, with a strong background in AI, ML, DevSecOps, and cloud security. His 10.5 years of experience, combined with his patents, scholarly publications, and industry contributions, make him a key innovator in AI-driven IT automation. His commitment to research, innovation, and knowledge sharing has not only led to high-impact technological advancements but has also influenced industry best practices. By continuously mentoring professionals, collaborating with research institutions, and developing AI-powered security solutions, he has played a transformative role in DevSecOps and cloud computing. Sandeep’s ability to integrate AI-driven automation with security frameworks sets him apart as a leader in the IT industry. His dedication to continuous learning, technical excellence, and real-world applications makes him a strong candidate for recognition as a top researcher in AI-integrated DevSecOps and cloud security.

Publications Top Notes

  1. Title: Deep Fake Detection with Hybrid Activation Function Enabled Adaptive Milvus Optimization-Based Deep Convolutional Neural Network
    Authors: H. Mashetty, N. Erukulla, S. Belidhe, N. Jella, V. Reddy Pishati, B.K. Enesheti
    Year: 2025

  2. Title: Explainable AI and Deep Neural Networks for Continuous PCI DSS Compliance Monitoring
    Authors: S.K.D. Sandeep Belidhe, Phani Monogya Katikireddi
    Year: 2024

  3. Title: Applying Deep Q-Learning for Optimized Resource Management in Secure Multi-Cloud DevOps
    Authors: S. Belidhe
    Year: 2022

  4. Title: AI-Driven Governance for DevOps Compliance
    Authors: S. Belidhe
    Year: 2022

  5. Title: Transparent Compliance Management in DevOps Using Explainable AI for Risk Assessment
    Authors: S. Belidhe
    Year: 2022

  6. Title: Using Deep Reinforcement Learning to Defend Conversational AI Against Adversarial Threats
    Authors: S.K.D. Phani Monogya Katikireddi, Sandeep Belidhe
    Year: 2021

  7. Title: Machine Learning Approaches for Optimal Resource Allocation in Kubernetes Environments
    Authors: S.B. Sandeep Kumar Dasa, Phani Monogya Katikireddi
    Year: 2021

  8. Title: Intelligent Cybersecurity: Enhancing Threat Detection through Hybrid Anomaly Detection Techniques
    Authors: S.B. Phani Monogya Katikireddi, Sandeep Kumar Dasa
    Year: 2021

  9. Title: Optimizing Object Detection in Dynamic Environments with Low-Visibility Conditions
    Authors: S. Belidhe, S.K. Dasa, S. Jaini

Md Atiqur Rahman | Heat Transfer | Best Researcher Award

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Dr. Md Atiqur Rahman | Heat Transfer | Best Researcher Award

Assistant Professor at Vignan’s Foundation for Science, Technology & Research (Deemed to be University), India

Md Atiqur Rahman is an Assistant Professor at Vignan’s Foundation for Science, Technology & Research, with a focus on enhancing academic performance and fostering student success. He holds a Ph.D. from Birla Institute of Technology, Mesra, and has a strong educational background, including an M.Tech and B.E. from Visvesvaraya Technological University. With over 3.5 years of teaching experience across various institutions, Rahman has published numerous research papers in reputable journals, primarily focusing on heat exchangers and thermal engineering. His contributions to conferences and workshops demonstrate his commitment to advancing knowledge in his field. As a member of professional societies and a reviewer for several journals, he actively engages in the academic community. Rahman’s career goal is to develop effective educational strategies that lead to substantial academic improvements for his students, showcasing his dedication to education and research.

Profile

Education

Md Atiqur Rahman has a robust educational background, beginning with his Bachelor of Engineering (B.E.) degree from Visvesvaraya Technological University (V.T.U.) Belgaum, where he graduated with first-class honors. He further advanced his studies by earning a Master of Technology (M.Tech) from the same university, again achieving first-class results. Currently, he is in the final stages of his academic journey, having submitted his Ph.D. dissertation at the prestigious Birla Institute of Technology in Mesra. His educational pursuits reflect a commitment to excellence in the field of engineering, particularly in thermal and fluid dynamics. This strong foundation in engineering principles has equipped him with the knowledge and skills necessary to contribute significantly to both academic and research endeavors in his career.

Professional Experience

Md Atiqur Rahman has amassed over 3.5 years of professional experience in the field of mechanical engineering and education. He began his career as a Lecturer at M.V.J Polytechnic in Bangalore, where he taught from June 2011 to February 2014. He then advanced to the role of Assistant Professor at Sri Venkatesh Perumal College of Engineering and Technology in Puttur, serving from June 2016 to April 2017. Following this, he took on the position of Guest Lecturer at BIT University Polytechnic in Mesra from January 2018 to August 2020. Currently, he is an Assistant Professor at Vignan’s Foundation for Science, Technology & Research (Deemed to be University) in Guntur, a position he has held since June 2024. Throughout his career, Md Rahman has been dedicated to enhancing students’ academic performance and actively contributing to the field through teaching, research, and publications in reputable journals.

Research Interest

Md Atiqur Rahman has a keen research interest in the field of thermal engineering, specifically focusing on the performance optimization of heat exchangers. His work primarily involves the investigation of innovative flow deflector designs and their effects on thermofluid performance in various heat exchanger configurations. Through his research, he aims to enhance the efficiency of heat transfer processes, which is critical in industrial applications such as power generation, HVAC systems, and chemical processing. Additionally, Rahman’s studies extend to the utilization of nanofluids for improved thermal performance, as well as the development of advanced baffle plates that facilitate better fluid dynamics. He is dedicated to addressing real-world engineering challenges by implementing experimental methods and computational fluid dynamics (CFD) simulations in his research endeavors. Overall, his contributions aim to advance the understanding of heat exchanger technology and promote energy efficiency in engineering applications.

Research Skills

Md Atiqur Rahman possesses a diverse set of research skills that significantly contribute to his expertise in the field of thermal engineering and heat exchanger performance. His strong analytical abilities enable him to conduct comprehensive experiments and evaluations of thermo-fluid dynamics, particularly in heat exchangers equipped with innovative baffle plates. With a solid foundation in computational fluid dynamics, he employs advanced simulation techniques to analyze and optimize thermal systems effectively. Rahman’s proficiency in data interpretation and statistical analysis enhances his capability to derive meaningful conclusions from experimental results. He is also adept at disseminating his findings through publications in peer-reviewed journals and presentations at international conferences, showcasing his commitment to advancing knowledge in his area of research. Furthermore, his involvement as a reviewer for esteemed journals demonstrates his engagement with the academic community and his dedication to maintaining high research standards. Overall, his research skills reflect a comprehensive approach to addressing complex engineering challenges.

Award and Recognition

Md Atiqur Rahman has made significant contributions to the field of mechanical engineering, particularly in the study of heat exchangers and thermal performance. His research has been recognized in various prestigious journals, including the Journal of Engineering Research and the Bulletin of the Polish Academy of Sciences, where he has published multiple papers that highlight innovative solutions in thermofluid performance. Additionally, he has presented his work at prominent international conferences, such as the International Conference on Innovations in Engineering and Technology, further establishing his reputation within the academic community. Rahman’s dedication to continuous learning is evidenced by his participation in numerous workshops and training programs focused on advanced topics in mechanical and thermal engineering. His active involvement in professional organizations, such as the Indian Society of Technical Education, showcases his commitment to fostering collaboration and knowledge exchange in the engineering field. Overall, Rahman’s achievements reflect his strong research capabilities and dedication to advancing engineering practices.

Conclusion

Md Atiqur Rahman exemplifies the qualities of an outstanding researcher through his dedication to advancing knowledge in mechanical engineering. His solid educational foundation, impressive publication record, and active participation in the academic community position him as a suitable candidate for the Best Researcher Award. By addressing areas for improvement, he can further enhance his contributions to the field and continue to inspire students and colleagues alike.

Publication Top Notes

  • Performance evaluation of turbulent circular heat exchanger with a novel flow deflector-type baffle plate
    • Authors: MA Rahman, SK Dhiman
    • Year: 2023
    • Journal: Journal of Engineering Research
    • Citations: 17
  • Experimental Investigations on Single-Phase Heat Transfer Enhancement in an Air-To-Water Heat Exchanger with Rectangular Perforated Flow Deflector Baffle Plate
    • Authors: MA Rahman
    • Year: 2023
    • Journal: International Journal of Thermodynamics (IJoT)
    • Volume/Issue/Page: 26(4), 31-39
    • Citations: 15
  • Effectiveness of a tubular heat exchanger and a novel perforated rectangular flow-deflector type baffle plate with opposing orientation
    • Authors: MA Rahman
    • Year: 2023
    • Journal: World Journal of Engineering
    • Citations: 13
  • Investigations of the turbulent thermo-fluid performance in a circular heat exchanger with a novel flow deflector-type baffle plate
    • Authors: MA Rahman, SK Dhiman
    • Year: 2023
    • Journal: Bulletin of the Polish Academy of Sciences. Technical Sciences
    • Volume/Issue: 71(4)
    • Citations: 13
  • The influence of geometrical and operational parameters on thermofluid performance of discontinuous colonial self‐swirl‐inducing baffle plate in a tubular heat exchanger
    • Authors: MA Rahman
    • Year: 2024
    • Journal: Heat Transfer
    • Volume/Issue/Page: 53(2), 328-345
    • Citations: 11
  • The effect of triangular shutter type flow deflector perforated baffle plate on the thermofluid performance of a heat exchanger
    • Authors: MA Rahman
    • Year: 2024
    • Journal: Heat Transfer
    • Volume/Issue/Page: 53(2), 939-956
    • Citations: 9
  • Thermo-fluid performance comparison of an in-line perforated baffle with oppositely oriented rectangular-wing structure in turbulent heat exchanger
    • Authors: MA Rahman
    • Year: 2024
    • Journal: International Journal of Fluid Mechanics Research
    • Volume/Issue: 51(1)
    • Citations: 8
  • Thermal hydraulic performance of a tubular heat exchanger with in‐line perforated baffle with shutter type saw tooth turbulator
    • Authors: MA Rahman
    • Year: 2024
    • Journal: Heat Transfer
    • Volume/Issue/Page: 53(5), 2234-2256
    • Citations: 5
  • Study the effect of axially perforated baffle plate with multiple opposite-oriented trapezoidal flow deflectors in an air–water tubular heat exchanger
    • Authors: MA Rahman
    • Year: 2024
    • Journal: World Journal of Engineering
    • Citations: 5
  • Assessment of Improving Heat Exchanger Thermal Performance through Implementation of Swirling Flow Technology
    • Authors: MA Rahman, SMM Hasnain, R Zairov
    • Year: 2024
    • Journal: International Journal of Thermofluids
    • Volume/Page: 100689
    • Citations: 3