Atul Kumar Gupta | Artificial Intelligence | Best Researcher Award

Dr. Atul Kumar Gupta | Artificial Intelligence | Best Researcher Award

Sharda University, India

Author Profile

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Dr. Atul Kumar Gupta laid a strong academic foundation by pursuing a Ph.D. in Biotechnology, coupled with a Post Graduate Diploma in Business Administration (PGDBA) with a specialization in Operations Management. His multidisciplinary education enabled him to integrate scientific rigor with operational precision, allowing him to bridge the gap between research and applied industrial processes effectively.

🏢 PROFESSIONAL ENDEAVORS

With over a decade of professional excellence, Dr. Gupta has served in leading roles across prestigious institutions. He currently holds the position of Deputy General Manager at Sharda Research and Analytical Foundation and serves as Head of the Central Instrumentation Facility at Sharda University, Greater Noida.

Previously, he was associated with reputed organizations such as:

  • Vimta Labs Ltd.

  • CTC Analytical Services

  • Intertek India Pvt. Ltd.

He has managed various departments, including Analytical Chemistry and Microbiology, providing high-precision testing services for food safety and environmental compliance.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN ARTIFICIAL INTELLIGENCE

While rooted in biotechnology and analytical sciences, Dr. Gupta’s current research directions include integrating Artificial Intelligence (AI) in analytical instrumentation and data processing. His approach leverages omics technologies (genomics, proteomics, metabolomics) supported by AI tools to:

  • Enhance predictive analytics in food safety.

  • Develop automated diagnostic frameworks.

  • Streamline big data evaluation for agricultural biotechnology.

His innovative efforts aim to merge biological systems understanding with AI to drive precision agriculture and intelligent food analysis.

🏅 ACCOLADES AND RECOGNITION

  • Young Scientist Award by the Society of Plant Biochemistry and Biotechnology

  • Expert Review Panel Member at AOAC (Bromoform, ETO/ECH)

  • Certified Food Analyst under FSSAI regulations

  • NABL Empanelled Technical Assessor (ISO/IEC 17025:2017)

  • Invited Trainer for HPLC by Ministry of Public Health & GAIN (Afghanistan)

  • Member of prestigious bodies: Indian Science Congress, AOCS, AOAC Southeast Asia, Cereals & Grains Association, etc.

🌍 IMPACT AND INFLUENCE

Dr. Gupta’s influence extends across academia, industry, and global development platforms:

  • Invited twice to France for specialized training.

  • Appointed as Trainer by the Ministry of Public Health, in collaboration with GAIN Afghanistan, to train professionals on HPLC and its applications in the food and pharma industries.

  • Conducted FSSAI-sponsored workshops and seminars that bridged scientific research with regulatory frameworks.

  • Actively engaged as a NABL Technical Assessor and FSSAI Food Analyst, ensuring analytical laboratories meet ISO/IEC 17025:2017 standards.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Gupta’s legacy lies in his unique ability to merge analytical chemistry, biotechnology, and AI-powered solutions for food safety and agricultural sustainability. He continues to work toward:

  • Developing automated detection systems for contaminants.

  • Advancing AI-integrated omics platforms.

  • Promoting global food quality standards through scientific diplomacy.

With deep expertise in mycotoxins, pesticides, antibiotics, heavy metals, nutraceuticals, and health supplements, he is shaping the future of safe and sustainable food systems.

 ✅CONCLUSION

Dr. Atul Kumar Gupta represents the new wave of translational scientists who transform research into real-world impact. With a balanced blend of scientific scholarship, leadership in analytical sciences, and a forward-looking embrace of AI, Dr. Gupta is leaving a significant imprint on the fields of biotechnology, food safety, and environmental monitoring.

🔬NOTABLE PUBLICATION:

Nutraceutical Value of Finger Millet [Eleusine coracana (L.) Gaertn.], and Their Improvement Using Omics Approaches
Authors: A. Kumar, M. Metwal, S. Kaur, A.K. Gupta, S. Puranik, S. Singh, M. Singh, …
Journal: Frontiers in Plant Science
Year: 2016


De Novo Assembly and Characterization of Developing Spikes Transcriptome of Finger Millet (Eleusine coracana): a Minor Crop Having Nutraceutical Properties
Authors: A. Kumar, V.S. Gaur, A. Goel, A.K. Gupta
Journal: Plant Molecular Biology Reporter
Year: 2015


Differential Expression of PBF Dof Transcription Factor in Different Tissues of Three Finger Millet Genotypes Differing in Seed Protein Content and Color
Authors: N. Gupta, A. Kumar Gupta, N.K. Singh, A. Kumar
Journal: Plant Molecular Biology Reporter
Year: 2011


Antibacterial and Antifungal Activity in Leaf, Seed Extract and Seed Oil of Seabuckthorn (Hippophae salicifolia D. Don) Plant
Authors: A.K. Sanjay Mohan Gupta, Atul K. Gupta, Zakwan Ahmed
Journal: Journal of Plant Pathology & Microbiology
Year: 2011


In Vivo Evaluation of Hypoglycemic Activity of Aloe spp. and Identification of Its Mode of Action on GLUT-4 Gene Expression In Vitro
Authors: R. Kumar, B. Sharma, N.R. Tomar, P. Roy, A.K. Gupta, A. Kumar
Journal: Applied Biochemistry and Biotechnology
Year: 2011


Understanding the Differential Nitrogen Sensing Mechanism in Rice Genotypes Through Expression Analysis of High and Low Affinity Ammonium Transporter Genes
Authors: V.S. Gaur, U.S. Singh, A.K. Gupta, A. Kumar
Journal: Molecular Biology Reports
Year: 2012

Milind Cherukuri | Artificial Intelligence | Young Researcher Award

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