Milind Cherukuri | Computer Science | Young Researcher Award

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Mr. Milind Cherukuri | Computer Science | Young Researcher Award

Salesforce Business Analyst & Administrator at University of North Texas, United States

Milind Cherukuri is a dynamic early-career researcher and technologist with a strong foundation in artificial intelligence, machine learning, and software engineering. With a Master’s in Computer Science from the University of North Texas, he has applied his expertise across leading organizations such as Caris Life Sciences, Amazon, and Infor. His research spans sentiment analysis, AI safety, LLM prompt engineering, and image segmentation, resulting in five peer-reviewed publications and presentations at major conferences like IEEE AI Summit and EEET 2024. Milind has a proven ability to translate research into real-world impact, particularly in healthcare, where he optimized clinical systems through AI-driven automation and data integration. Recognized as a Senior Member of IEEE in 2025, he actively contributes to the research community through peer review and technical leadership. His innovative mindset, technical depth, and cross-domain contributions position him as a strong candidate for the Young Researcher Award.

Professional Profile

Google Scholar

Education

Milind Cherukuri holds a Master’s degree in Computer Science from the University of North Texas, where he deepened his expertise in artificial intelligence, data science, and advanced software systems. Prior to that, he earned his Bachelor’s degree in Computer Science from SRM University, Chennai, India. His academic journey reflects a consistent focus on technical excellence, with coursework and projects covering machine learning, sentiment analysis, and cloud computing. During his graduate studies, Milind engaged in applied research initiatives and honed his skills in experimental design, statistical analysis, and academic writing. He leveraged these experiences to produce scholarly work and effectively bridge theory with practice. His education provided a strong foundation for multidisciplinary research, particularly in AI-driven applications across healthcare and enterprise environments. The blend of technical depth and research exposure during his formative academic years has directly influenced his ability to contribute meaningfully to both industrial innovation and scientific advancement.

Professional Experience

Milind Cherukuri’s professional journey spans prominent roles at Caris Life Sciences, Amazon, and Infor, reflecting a robust blend of research, software development, and systems integration experience. At Caris Life Sciences, he currently serves as a Salesforce Business Analyst and Administrator, where he leads automation, healthcare data integration, and clinical research optimizations. His work has directly impacted clinical decision-making by aligning technology with operational and regulatory needs. At Amazon, he developed scalable microservices, optimized APIs, and applied AI insights to enhance customer experience and personalization. Prior to that, at Infor in India, Milind supported legacy modernization and contributed to internal research on sentiment analysis and recommendation systems. Across these roles, he demonstrated an ability to innovate at scale while contributing to internal research pipelines and tool development. His hands-on experience across cloud platforms, AI tools, and enterprise software showcases a rare ability to move seamlessly between engineering execution and applied research.

Research Interest

Milind Cherukuri’s research interests lie at the intersection of artificial intelligence, machine learning, sentiment analysis, and safe AI deployment. He is passionate about building explainable, reliable, and application-driven AI systems that serve real-world domains such as healthcare, e-commerce, and cloud ecosystems. His work focuses on areas like multi-dimensional emotion representation, AI safety frameworks for large language models, and optimization techniques for prompt engineering. Milind is particularly interested in how AI can be made more context-aware, ethically responsible, and efficient when integrated into critical infrastructure. His research explores both the theoretical underpinnings of AI algorithms and their translation into user-centric applications. He uses tools such as TensorFlow, scikit-learn, Databricks, and Keras for prototyping and experimentation. Milind’s commitment to conducting reproducible and impactful research is evident through his multiple peer-reviewed publications and active participation in academic peer review and conference presentations.

Award and Honor

Milind Cherukuri has received several accolades that underscore his excellence in both research and professional performance. In 2025, he was elevated to the grade of Senior Member of IEEE, recognizing his significant contributions to engineering and AI research at a relatively early stage in his career. He has authored five peer-reviewed publications across reputable venues and conferences, including IEEE AI Summit and EEET 2024. His work has been cited in discussions on AI safety and ethics, especially regarding GPT-5 development strategies. Within industry roles, Milind earned recognition for developing fault-tolerant systems at Amazon and for improving automation workflows at Caris Life Sciences, boosting operational efficiency by over 30%. He has also contributed as a peer reviewer for research journals, enhancing his engagement with the broader scientific community. These honors reflect a balanced profile of innovation, leadership, and commitment to advancing technology responsibly and effectively.

Conclusion

Milind Cherukuri embodies the qualities of a forward-thinking, multidisciplinary researcher who bridges the worlds of academia and industry with exceptional skill. His educational foundation, professional achievements, and focused research trajectory demonstrate a rare combination of depth and adaptability. From developing scalable software at Amazon to integrating AI solutions in clinical workflows at Caris Life Sciences, he has consistently shown the ability to convert research insights into real-world impact. Milind’s publications, IEEE recognition, and conference engagements highlight his dedication to advancing AI in safe, ethical, and application-driven ways. His involvement in peer review and technical documentation further signals his readiness to contribute to and shape the global research landscape. With a passion for innovation, a track record of scholarly contributions, and strong industry credibility, Milind stands out as a compelling candidate for honors such as the Young Researcher Award, and is poised for continued impact in the field of computer science and artificial intelligence.

Publications Top Notes

  • Title: Comparing Image Segmentation Algorithms
    Author: M. Cherukuri
    Year: 2024
    Citations: 3

  • Title: Cost, Complexity, and Efficacy of Prompt Engineering Techniques for Large Language Models
    Author: M. Cherukuri
    Year: 2025
    Citations: 1

  • Title: WebChecker: A Versatile EVL Plugin for Validating HTML Pages with Bootstrap Frameworks
    Author: M. Cherukuri
    Year: 2025
    Citations: 1

  • Title: Advancing AI Safely: Frameworks and Strategies for the Development of GPT-5 and Beyond
    Author: M. Cherukuri
    Year: 2025
    Citations: 1

  • Title: Exploring Multi-Dimensional Sentiment Analysis: A Study on Emotion Representation Structures and Prediction Models
    Author: M. Cherukuri
    Year: 2024

Feixiang Li | Computer Science | Best Researcher Award

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Dr. Feixiang Li | Computer Science | Best Researcher Award

Senior Eengineer at The 15th Research Institute of China Electronics Technology Corporation, China

Feixiang Li is a dedicated researcher and senior engineer specializing in Mobile Edge Computing, Software Defined Networks (SDN), and Evolutionary Algorithms. He earned his Ph.D. from Beijing University of Technology in 2020 and currently holds a senior engineering position at the 15th Research Institute of China Electronics Technology Corporation. His research has resulted in numerous publications in prestigious, high-impact journals such as IEEE Transactions on Industrial Informatics and IEEE Transactions on Mobile Computing. Feixiang has demonstrated a strong ability to bridge theoretical research with practical applications, contributing to fields essential to next-generation communication technologies. His work showcases consistent academic productivity, interdisciplinary problem-solving, and real-world relevance. While there is potential to expand international collaborations and increase innovation leadership, his achievements to date mark him as a significant contributor to his field. Feixiang Li stands out as a promising candidate for honors recognizing research excellence in computer science and telecommunications.

Professional Profile

ORCID Profile

Education

Feixiang Li completed his Ph.D. in Computer Science at Beijing University of Technology in June 2020. His doctoral research focused on Mobile Edge Computing and Software Defined Networks, integrating theoretical frameworks with real-world computing challenges. His academic training equipped him with a solid foundation in advanced algorithms, optimization methods, and emerging communication technologies. During his Ph.D., he began publishing in high-impact journals and enaging in collaborative research with leading scholars in the field. His academic journey reflects a strong emphasis on applied research and innovative problem-solving in the domain of network systems and intelligent computing. This solid educational background has not only shaped his technical expertise but also laid the groundwork for his ongoing contributions to both academia and industry. The combination of deep theoretical knowledge and practical insights defines his educational experience and positions him well for leading-edge research in evolving digital infrastructure and smart network systems.

Professional Experience

After earning his Ph.D., Feixiang Li joined the 15th Research Institute of China Electronics Technology Corporation as an engineer in July 2020. His role focused on the development and optimization of network systems, with a particular emphasis on edge computing solutions and SDN architecture. In November 2022, he was promoted to Senior Engineer, reflecting recognition of his technical leadership and innovative contributions. In this capacity, Feixiang has worked on high-impact projects with national relevance, integrating academic research into practical implementations that advance China’s communication technology infrastructure. His experience bridges the gap between academic innovation and industrial application, allowing him to contribute meaningfully to both spheres. With a strong command of evolving digital technologies and hands-on experience in designing and deploying scalable systems, he continues to push the boundaries of what is technically possible in his field. His professional trajectory demonstrates steady growth, leadership, and a commitment to innovation-driven development.

Research Interest

Feixiang Li’s research interests lie at the intersection of Mobile Edge Computing, Software Defined Networks (SDN), and Evolutionary Algorithms. His work addresses critical challenges in network optimization, resource allocation, and intelligent control in dense communication environments. He has published influential studies on computation offloading using game theory and auction-based models, reflecting his expertise in both algorithm design and systems thinking. Feixiang is particularly interested in how emerging network paradigms like SDN and edge computing can be made more efficient and adaptive through intelligent algorithms. His research not only contributes theoretical models but also delivers practical tools for enhancing communication systems in the era of IoT and 5G. These interests position him at the forefront of digital infrastructure innovation. As networks become more complex and data-driven, his work provides scalable, intelligent solutions to meet future demands, reinforcing his role as a vital contributor to the advancement of modern communication technologies.

Award and Honor

While specific individual awards and honors are not listed in the provided resume, Feixiang Li’s track record reflects recognition through peer-reviewed publications in high-impact journals such as IEEE Transactions on Industrial Informatics and IEEE Transactions on Mobile Computing. These publications, often co-authored with respected researchers, indicate scholarly recognition and professional credibility in the field of computer science and communication networks. His promotion to Senior Engineer at a prominent national research institute also suggests internal recognition of his expertise and leadership. Participation in major international conferences and acceptance of his work in top-tier venues serve as further evidence of his standing within the academic and professional community. Although formal awards are not explicitly mentioned, the quality, volume, and impact of his research contributions suggest a strong foundation for future honors and positions him as a valuable candidate for accolades such as the Best Researcher Award or other academic distinctions in technology and engineering.

Conclusion

Feixiang Li is a highly capable researcher and engineer whose work bridges academic innovation and real-world technology implementation. With a strong educational foundation, extensive experience in a national research institute, and a focused research agenda in high-impact areas like edge computing and SDNs, he stands out as a leader in his field. His publications in top-tier journals and his growing professional responsibilities underscore his commitment to advancing the state of digital communication systems. While there is room to expand his global research network and innovation leadership, his current achievements reflect a robust trajectory of growth, influence, and potential. Feixiang’s career exemplifies the integration of theoretical rigor with applied engineering, making him a strong candidate for awards and honors that recognize excellence in research and technological innovation. As he continues to evolve professionally and academically, he is well-positioned to make further meaningful contributions to the future of intelligent networked systems.

Publications Top Notes

  1. Title: A Deep Reinforcement Learning-Based Topology Optimisation Method for Distributed Trial Networks

  2. Title: A Transformer-GRU-Based Edge Computing Method for Vessel Trajectory Prediction

  3. Title: Constant-Time Discrete Gaussian Sampling for Edge Computing Based on DPWGAN

  4. Title: Semi-supervised Remote Sensing Image Classification for Edge Computing via Contrastive Learning

  1. Title: Collaborative Computation Offloading and Resource Management in Space–Air–Ground Integrated Networking

  2. Title: Intelligent Computation Offloading Mechanism with Content Cache in Mobile Edge Computing

  3. Title: Auction Design for Edge Computation Offloading in SDN-Based Ultra Dense Networks

    • Authors: Feixiang Li, Haipeng Yao, Jun Du, Chunxiao Jiang, Zhu Han, Yunjie Liu

    • Journal: IEEE Transactions on Mobile Computing

    • Year: 2022

    • DOI: 10.1109/TMC.2020.3026319

  4. Title: Stackelberg Game-Based Computation Offloading in Social and Cognitive IIoT

    • Authors: Feixiang Li, Haipeng Yao, Jun Du, Chunxiao Jiang, Yi Qian

    • Journal: IEEE Transactions on Industrial Informatics

    • Year: 2020

    • DOI: 10.1109/TII.2019.2961662

  5. Title: Multi-Controller Resource Management for Software-Defined Wireless Networks

    • Authors: Feixiang Li, Xiaobin Xu, Haipeng Yao, Jingjing Wang, Chunxiao Jiang, Song Guo

    • Journal: IEEE Communications Letters

    • Year: 2019

    • DOI: 10.1109/LCOMM.2019.2891527

    • Citations: 18 (Scopus)

  6. Title: Bat Algorithm with Principal Component Analysis

    • Authors: Zhihua Cui, Feixiang Li, Wensheng Zhang

    • Journal: International Journal of Machine Learning and Cybernetics

    • Year: 2019

    • DOI: 10.1007/s13042-018-0888-4