Milind Cherukuri | Artificial Intelligence | Young Researcher Award

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Mr. Milind Cherukuri | Artificial Intelligence | Young Researcher Award

University of North Texas, India

Author Profile

ORCID

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Milind Cherukuri’s academic journey began with a Bachelor’s in Computer Science from SRM University, Chennai (2015–2019), where he built a strong foundation in software engineering and algorithmic problem-solving. His pursuit of advanced knowledge led him to the University of North Texas, Dallas, where he completed his Master’s in Computer Science (2021–2022) with a focus on artificial intelligence, machine learning, and data systems.

🏢 PROFESSIONAL ENDEAVORS

Milind’s professional trajectory spans a blend of engineering rigor, AI research, and enterprise system design:

  • Caris Life Sciences (2025–Present)
    Role: Salesforce Business Analyst & Administrator
    Spearheading automation and optimization of clinical and research workflows, Milind integrates complex data systems and aligns AI tools with healthcare outcomes.

  • Amazon (2022–2024)
    Role: Software Engineer
    Engineered scalable microservices, improved customer personalization using AI, and contributed to global backend infrastructure, earning accolades for reliability and innovation.

  • Infor (2019–2021)
    Role: Software Engineer
    Led backend automation initiatives and research into NLP applications, with early contributions in recommendation systems and sentiment analysis pipelines.

📚 CONTRIBUTIONS AND RESEARCH FOCUS ON ARTIFICIAL INTELLIGENCE

Milind’s AI research is grounded in both theoretical depth and applied innovation. His key research themes include:

  • Sentiment Analysis & Emotion Modeling

  • Safe and Responsible Development of Large Language Models (LLMs)

  • Image Segmentation and Validation Tools for Web Structures

  • Prompt Engineering for LLM Optimization

He has published five peer-reviewed research papers, presented at premier conferences such as IEEE AI Summit and EEET 2024, and contributed tools like WebChecker, which enhances web development quality control.

🏅 ACADEMIC CITES, ACCOLADES AND RECOGNITION

  • Elevated to Senior Member of IEEE (2025)

  • Peer reviewer for leading journals, including JOBARI

  • Citations across platforms including IEEE Xplore, ResearchGate, and arXiv

  • Recognized internally by Amazon and Caris Life Sciences for exemplary technical contributions

  • Invited speaker at international AI research forums

🌍 IMPACT AND INFLUENCE

Milind’s work bridges AI with healthcare, e-commerce, and cloud ecosystems, showing measurable improvements:

  • 30% efficiency gain in Salesforce workflows at Caris Life Sciences

  • Millions of fault-tolerant requests/day enabled by backend systems at Amazon

  • Influenced global discussions on AI safety through groundbreaking presentations

He continues to influence both industry and academia through tool development, peer-review contributions, and community engagement.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Milind aims to build a safer, smarter, and ethically grounded AI ecosystem. His future research plans focus on:

  • Explainable AI in healthcare diagnostics

  • Open-source tools for LLM safety benchmarking

  • Sustainable AI development aligning with ESG goals

He envisions fostering innovation at the crossroads of healthcare, AI, and policy, mentoring the next generation of AI practitioners and building intelligent systems that serve humanity.

 ✅CONCLUSION

Mr. Milind Cherukuri stands out as a technologist, researcher, and thought leader, bridging cutting-edge AI with practical impact. With a track record of academic brilliance, engineering excellence, and ethical AI advocacy, he continues to leave a mark on research, innovation, and global digital transformation.

 🔬NOTABLE PUBLICATION:

Title: Comparing Image Segmentation Algorithms

Author: M. Cherukuri
Journal/Conference: 2024 IEEE 4th International Conference on Data Science and Computer Applications (ICDSCA)
Year: 2024

Title: Cost, Complexity, and Efficacy of Prompt Engineering Techniques for Large Language Models

Author: M. Cherukuri
Journal/Conference: International Journal on Science and Technology
Year: 2025

Title: WebChecker: A Versatile EVL Plugin for Validating HTML Pages with Bootstrap Frameworks

Author: M. Cherukuri
Journal/Conference: arXiv preprint arXiv:2502.07479
Year: 2025

Title: Advancing AI Safely: Frameworks and Strategies for the Development of GPT-5 and Beyond

Author: M. Cherukuri
Journal/Conference: ResearchGate Preprint
Year: 2025

Title: Exploring Multi-Dimensional Sentiment Analysis: A Study on Emotion Representation Structures and Prediction Models

Author: M. Cherukuri
Journal/Conference: REST Journal on Data Analytics and Artificial Intelligence
Volume: 3, Pages 55–76
Year: 2024

BADDAM ANIL KUMAR | Artificial Intelligence | Research Innovation Award

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Dr. BADDAM ANIL KUMAR | Artificial Intelligence | Research Innovation Award

VIT-AP UNIVERSITY, ANDHRA PRADESH- India

Author Profile

Early Academic Pursuits

Mr. B. Anil Kumar began his academic journey with a Bachelor’s degree in Electronics and Communications Engineering from JNTU College of Engineering, Hyderabad, Telangana. This foundational education provided him with the necessary skills and knowledge in electronics and communication systems, laying the groundwork for his future pursuits in advanced studies.

Professional Endeavors

Building on his undergraduate education, Mr. Anil Kumar pursued and successfully completed a Master’s degree in VLSI System Design from Aurora College of Engineering, JNTUH, Hyderabad, Telangana. This specialization equipped him with expertise in Very Large Scale Integration (VLSI) technologies, enhancing his proficiency in designing complex integrated circuits and systems.

Currently, Mr. Anil Kumar is engaged in pursuing a Ph.D. in the School of Electronics Engineering (SENSE) at VIT-AP University in Amaravati, AP, India. His doctoral research focuses on the intersection of Image Processing, Machine Learning, and Deep Learning, reflecting his commitment to advancing the field of electronics and computational intelligence.

Contributions and Research Focus

Mr. Anil Kumar’s research interests primarily revolve around Image Processing, Machine Learning, and Deep Learning. These areas represent critical domains within the broader spectrum of artificial intelligence and computational intelligence, aimed at developing algorithms and systems that can analyze, interpret, and extract meaningful information from digital images. His contributions in these fields are expected to contribute significantly to applications ranging from healthcare diagnostics to industrial automation and beyond.

Accolades and Recognition

Mr. Anil Kumar has garnered recognition for his scholarly contributions and expertise in electronics and computational intelligence. His role as a reviewer for well-known reputed journals underscores his standing within the academic community, where his insights and evaluations help shape the discourse and quality of research publications.

Impact and Influence

Through his academic pursuits and professional endeavors, Mr. Anil Kumar has already begun to make a notable impact on the fields of electronics engineering and computational intelligence. His research outputs and contributions are anticipated to influence the development of advanced technologies and methodologies in image processing and machine learning, thereby shaping future innovations in these domains.

Legacy and Future Contributions

Looking ahead, Mr. Anil Kumar’s legacy is poised to encompass significant advancements in image processing and machine learning technologies. His future contributions are expected to extend beyond academic research to practical applications, potentially impacting various industries and sectors. By continuing to explore new avenues in computational intelligence and fostering interdisciplinary collaborations, Mr. Anil Kumar aims to leave a lasting imprint on the field, advancing both theoretical knowledge and practical implementations in electronics engineering.

Citations

A total of 32 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         32
  • h-index           2
  • i10-index        1

Notable Publications 

Implementation of 64-Bits Radix – 8 IFFT for Computation Speed by IDIF using Verilog

B.Anil Kumar, M. Naveen Reddy, Vamshi Kollipara, B. Rajesh,International Journal of Recent Technology and Engineering (IJRTE)

Caffe-MobileNetV2 based Tomato Leaf Disease Detection

B.Anil Kumar, Mohan Bansal, Rajeev Sharma
2023 3rd International conference on Artificial Intelligence and Signal …

Hardware Implementation of 64-Bits Data by Radix-8 FFT/IFFT for High Speed Applications

B.Anil Kumar, Mohan Bansal
2022 8th International Conference on Signal Processing and Communication …