Mr. Sachin Pandey | AI Data Science | AI & Machine Learning Award

Mr. Sachin Pandey | AI Data Science | AI & Machine Learning Award

Head of Data Engineering and Data Science, Oracle Corporation, United States

Mr. Sachin Pandey is an accomplished data scientist and engineering professional whose expertise bridges the domains of artificial intelligence, data management, and enterprise analytics. With more than thirteen years of progressive experience, Mr. Sachin Pandey currently serves as the Head of Data Engineering and Data Science at Oracle Corporation, where he leads multidisciplinary teams in the development of intelligent data infrastructures, machine learning solutions, and scalable MLOps frameworks. He previously contributed his expertise as Head of Data Science at Walmart US, overseeing large-scale analytical transformations that enhanced predictive decision systems and optimized data-driven strategies across global business operations. Mr. Sachin Pandey’s academic foundation is rooted in a Master of Science in Management Information Systems from the University of Illinois at Chicago – Liautaud Graduate School of Business, where he developed a strong grounding in business intelligence, data visualization, and statistical computing. He earned his Bachelor of Technology in Electronics and Telecommunication Engineering from the Vivekananda Education Society’s Institute of Technology, Mumbai, where his technical acumen and analytical thinking shaped his approach to applied data research. His research interests include machine learning algorithms, deep learning optimization, big data analytics, AI-based automation, and data governance, focusing on how scalable AI systems can transform decision-making and industry practices. Mr. Sachin Pandey has published and co-authored peer-reviewed papers in internationally recognized journals and conference proceedings indexed by Scopus and IEEE, including notable contributions in areas of image detection, intelligent automation, and cloud-based analytics. His most cited work, “Smoke and Fire Detection” is recognized for advancing the use of AI models in safety and monitoring systems, reflecting his commitment to practical applications of data science for societal benefit. In addition to research, he possesses exceptional skills in Python programming, Spark, Airflow, data modeling, ELT/ETL frameworks, MLFlow, and cloud analytics platforms such as Power BI, Tableau, and Alteryx, complemented by a deep understanding of optimization, data governance, and model versioning techniques.

Profiles: Google Scholar | Orcid 

Featured Publications

  • Gharge, S., Birla, S., Pandey, S., Dargad, R., & Pandita, R. (2013). Smoke and fire detection. International Journal of Advanced Research in Computer and Communication Engineering, 2(6). Cited by: 16

  • Singh, A., & Pandey, S. (2014). Advanced Centralised RTO System for Traffic Data Automation. International Journal of Emerging Technology and Advanced Engineering, 4(5). Cited by: 9

  • Pandey, S. (2015). Intelligent Data Governance Using Cloud-based Frameworks. International Journal of Data Science and Analytics, 3(2). Cited by: 11

  • Pandey, S., & Birla, S. (2016). Optimization of Machine Learning Pipelines for Enterprise Analytics. Proceedings of the IEEE International Conference on Computational Intelligence. Cited by: 7

  • Pandey, S. (2019). Scalable AI Systems for Predictive Data Engineering. Journal of Artificial Intelligence Research and Applications, 10(4). Cited by: 13

Irina-Oana Lixandru-Petre | Machine Learning | Best Researcher Award

Ms. Irina-Oana Lixandru-Petre | Machine Learning | Best Researcher Award

National University of Science and Technology POLITEHNICA Bucharest, Romania

Lixandru-Petre Irina-Oana is a highly skilled and dedicated researcher in the field of bioinformatics, specializing in cancer research through computational and systems biology approaches. With a strong academic foundation in systems engineering and over a decade of multidisciplinary professional experience in academia, IT, and research, she has made notable contributions to medical informatics, particularly in cancer genomics. Her current role as a postdoctoral researcher at eBio-hub allows her to apply advanced data analysis techniques to unravel the molecular mechanisms of diseases such as breast and colorectal cancer. Her research interests lie at the intersection of systems biology, data mining, artificial intelligence, and bioinformatics, where she employs integrated microarray analysis, Bayesian networks, and fuzzy systems to support diagnosis and clinical decision-making.

Profile

Scopus

Education

Irina-Oana’s academic journey began at the National University of Sciences and Technology POLITEHNICA Bucharest (UNSTPB), where she pursued a Bachelor’s Degree in Systems Engineering from 2008 to 2012. Her strong academic performance culminated in a perfect score in her final exam. She continued at the same institution for her Master’s in Intelligent Control Systems between 2012 and 2014, graduating with a GPA of 9.81 and a top dissertation grade. Her educational experience included a strong focus on control algorithms, decision techniques, and distributed processing systems. From 2014 to 2022, she pursued her PhD in Systems Engineering at UNSTPB. Her doctoral thesis, titled “Analysis of the molecular pathogenesis of breast cancer using integrated microarray analysis and gene modeling,” earned the distinction Magna Cum Laude and reflected her ability to merge computational intelligence with biological research.

Experience

Irina-Oana has held several significant roles throughout her career. Since 2023, she has worked as a postdoctoral researcher in bioinformatics at eBio-hub, focusing on high-impact research related to cancer genomics. Her responsibilities include publishing peer-reviewed articles, participating in conferences, and applying for competitive research grants at both national and international levels. Prior to this, she worked from 2013 as a computer systems programmer at GBA, where she developed expertise in PL/SQL, data analysis, and IT system monitoring. From 2012 to 2020, she served as a Laboratory Assistant at UNSTPB, teaching the course “Diagnostic and Decision Techniques,” where she employed tools like Weka, dTree, and Netica for teaching decision support systems. Her diverse experience across academia, IT, and research has made her a multidisciplinary contributor to biomedical informatics.

Research Interest

Irina-Oana’s research is centered around bioinformatics, cancer genomics, decision support systems, and data-driven medical diagnostics. She applies systems engineering techniques to analyze complex biomedical data, with a particular emphasis on breast and colorectal cancers. Her work frequently involves the integration of microarray gene expression data using advanced modeling techniques such as Bayesian networks and fuzzy logic systems. She has also explored the classification of malignant subtypes, diabetes modeling, and the use of artificial intelligence in thyroid cancer detection and prognosis. Her multidisciplinary approach bridges systems engineering with life sciences, making her research highly impactful in personalized medicine and computational biology.

Award

Irina-Oana’s commitment to scientific advancement was recognized when she was selected as the project director in the Romanian Academy of Sciences’ 2024–2025 research project competition for young researchers under the “AOSR-TEAMS-III” program. This award highlights her innovative contributions and leadership in medical bioinformatics, particularly in data-driven cancer research.

Publication

Irina-Oana has authored numerous scientific publications, of which the following seven are particularly noteworthy:

“An integrated gene expression analysis approach”, E-health and Bioengineering Conference, 2015 – Cited in WoS:000380397900095.

“Microarray Gene Expression Analysis using R”, International Conference on Advancements of Medicine and Health Care through Technology, 2016 – DOI: 10.1007/978-3-319-52875-5_74.

“A colon cancer microarray analysis technique”, E-health and Bioengineering Conference, 2017 – WOS:000445457500067.

“Modeling a Bayesian Network for a Diabetes Case Study”, E-Health and Bioengineering Conference, 2020 – WOS:000646194100054.

“An integrated breast cancer microarray analysis approach”, U.P.B. Scientific Bulletin, Series C, 2022 – WOS:000805648400007.

“Fast detection of bacterial gut pathogens on miniaturized devices: an overview”, Expert Review of Molecular Diagnostics, 2024 – DOI: 10.1080/14737159.2024.2316756.

“Machine Learning for Thyroid Cancer Detection, Presence of Metastasis, and Recurrence Predictions—A Scoping Review”, Cancers, 2025 – DOI: 10.3390/cancers17081308.

Each of these works contributes uniquely to the scientific community, particularly in the domain of bioinformatics and medical diagnostics, and several are indexed in prestigious databases such as Web of Science and IEEE Xplore.

Conclusion

Lixandru-Petre Irina-Oana stands at the forefront of bioinformatics research in Romania, combining her deep knowledge in systems engineering with a profound commitment to advancing biomedical sciences. Her work continues to explore innovative solutions in cancer diagnosis and decision-support systems, driven by a passion for translating computational methods into clinical insights. As a researcher, educator, and project leader, she exemplifies a model of interdisciplinary excellence and contributes meaningfully to the future of precision medicine.

Rajan Bhatt | Artificial Intelligence | Excellence Award (Any Scientific field)

Dr. Rajan Bhatt | Artificial Intelligence | Excellence Award (Any Scientific field)

Associate Professor| Punjab Agricultural University, Ludhiana | India

Dr. Rajan Bhatt is a Senior Soil Scientist at PAU-Krishi Vigyan Kendra, Amritsar, Punjab, India. With extensive expertise in soil physics, water management, and sustainable agriculture, he has dedicated over two decades to advancing soil science research. His contributions include innovative techniques for soil moisture management, resource conservation, and the application of artificial intelligence in agriculture. Recognized globally for his work, Dr. Bhatt has received numerous prestigious awards, reflecting his commitment to scientific excellence and rural development.

Profile

Scopus

Education

Dr. Bhatt holds a Ph.D. in Soil Science (2015) from Punjab Agricultural University, Ludhiana, with distinction, focusing on soil physics and water management. His academic journey began with a B.Sc. in Agriculture (2000) from Guru Nanak Dev University, followed by an M.Sc. in Soil and Water Conservation (2003) from Punjab Agricultural University. Throughout his education, he consistently ranked among the top performers, showcasing his passion and dedication to agricultural sciences.

Experience

Currently an Associate Professor in Soil Science, Dr. Bhatt has been instrumental in implementing resource conservation technologies at PAU-Krishi Vigyan Kendra. With a career spanning over two decades, he has actively contributed to improving land and water productivity, addressing climate-smart agricultural practices, and mentoring young scientists. His collaborations with national and international organizations have further amplified the impact of his work in soil and water conservation.

Research Interests

Dr. Bhatt’s research focuses on sustainable agriculture, soil moisture dynamics, resource conservation technologies, and artificial intelligence in farming. His groundbreaking studies on the rice-wheat cropping system and integrated farming models have provided innovative solutions for mitigating climate change effects. He is also interested in exploring the role of silicon in combating plant biotic stress and enhancing soil health for long-term agricultural productivity.

Awards

Dr. Bhatt has been honored with numerous accolades, including the Best Researcher Award (2021), Young Scientist Award (2016, 2017, 2019), and the Springer PAWEES Best Paper Award (2022). These awards recognize his contributions to soil science and sustainable agriculture, underscoring his global reputation as a thought leader. His efforts have consistently bridged the gap between research innovation and practical application in farming.

Publications

Prospects of Artificial Intelligence for the Sustainability of Sugarcane Production in the Modern Era of Climate Change: An Overview of Related Global Findings

  • Authors: Bhatt, R.; Hossain, A.; Majumder, D.; Brestic, M.; Maitra, S.
  • Publication Year: 2024
  • Citations: 0

Management of Yield Losses in Vigna radiata (L.) R. Wilczek Crop Caused by Charcoal-Rot Disease Through Synergistic Application of Biochar and Zinc Oxide Nanoparticles as Boosting Fertilizers and Nanofungicides

  • Authors: Mazhar, M.W.; Ishtiaq, M.; Maqbool, M.; Siddiqui, M.H.; Bhatt, R.
  • Publication Year: 2024
  • Citations: 1

Designing a Productive, Profitable Integrated Farming System Model With Low Water Footprints for Small and Marginal Farmers of Telangana

  • Authors: Karthik, R.; Ramana, M.V.; Kumari, C.P.; Elhindi, K.M.; Mattar, M.A.
  • Publication Year: 2024
  • Citations: 0

Long-Term Application of Agronomic Management Strategies Effects on Soil Organic Carbon, Energy Budgeting, and Carbon Footprint Under Rice–Wheat Cropping System

  • Authors: Naresh, R.K.; Singh, P.K.; Bhatt, R.; Al-Ansari, N.; Mattar, M.A.
  • Publication Year: 2024
  • Citations: 2

Application of Different Organic Amendments Influences the Different Forms of Sulfur in the Soil of Pea–Onion–Cauliflower Cropping System

  • Authors: Paul, S.C.; Bharti, R.; Lata, S.; Bhatt, R.; Siddiqui, M.H.
  • Publication Year: 2024
  • Citations: 0

Revealing the Hidden World of Soil Microbes: Metagenomic Insights Into Plant, Bacteria, and Fungi Interactions for Sustainable Agriculture and Ecosystem Restoration

  • Authors: Jagadesh, M.; Dash, M.; Kumari, A.; Bhatt, R.; Sharma, S.K.
  • Publication Year: 2024
  • Citations: 7

Soil Qualities and Crop Responses Are Influenced by Biochar: A Meta-Analysis Review

  • Authors: Bhatt, R.; Rajput, V.D.; Chandra, M.S.; Garg, A.K.; Verma, K.K.
  • Publication Year: 2024
  • Citations: 0

Optimizing Nutrient and Energy Efficiency in a Direct-Seeded Rice Production System: A Northwestern Punjab Case Study

  • Authors: Kaur, R.; Chhina, G.S.; Kaur, M.; Elhindi, K.M.; Mattar, M.A.
  • Publication Year: 2024
  • Citations: 1

Potassium and Jasmonic Acid—Induced Nitrogen and Sulfur Metabolisms Improve Resilience Against Arsenate Toxicity in Tomato Seedlings

  • Authors: Siddiqui, M.H.; Mukherjee, S.; Gupta, R.K.; Bhatt, R.; Kesawat, M.S.
  • Publication Year: 2024
  • Citations: 3

Conclusion

Dr. Rajan Bhatt’s illustrious career exemplifies the integration of innovative research and practical solutions in soil science. His work has made significant strides in addressing the challenges of sustainable agriculture and climate change. As a mentor, researcher, and leader, Dr. Bhatt continues to inspire advancements in agricultural practices for global food security and environmental sustainability.