Zhi Liu | Artificial Intelligence | Research Excellence Award

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Prof. Zhi Liu | Artificial Intelligence | Research Excellence Award

Professor | Shandong University | China

Prof. Zhi Liu is a prominent researcher in Artificial Intelligence, specializing in machine learning, deep neural networks, and intelligent data analysis. His work focuses strongly on medical imaging, biomedical signal processing, and computer vision applications. He integrates domain knowledge with advanced AI models to enhance accuracy, robustness, and interpretability. His contributions include weakly supervised learning, multi-scale feature fusion, transformer-based models, and time-series analysis. Through interdisciplinary research, he advances impactful AI solutions for healthcare and intelligent systems.

Prof Zhi Liu
Shandong University
Artificial Intelligence | China

Citation Metrics (Scopus)

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Citations
4,806

Documents
250

h-index
33


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Featured Publications

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

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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

Lakshmi Devi P | Generative AI and LLM | AI Breakthrough Award

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Mrs. Lakshmi Devi P | Generative AI and LLM | AI Breakthrough Award

Senior Associate – Data Scientist at JP Morgan& Chase, India

Lakshmi Devi P is a seasoned data science professional currently serving as a Senior Associate – Data Scientist at JPMorgan Chase, with additional academic contributions as an Adjunct Faculty member at the Manipal Academy of Higher Education (MAHE). With more than a decade of experience in artificial intelligence, machine learning, and data-driven innovation, she brings an expert lens to the domain of Generative AI and NLP. A published author, active mentor, and patent contributor, her work is grounded in ethical, scalable applications of AI that span enterprise systems and educational initiatives. Her leadership on GenAI solutions exemplifies innovation that drives measurable impact across sectors.

Profile

ORCID

Education

Lakshmi is currently pursuing her Ph.D. in Artificial Intelligence, where her research focuses on designing scalable and ethical AI systems. This doctoral journey builds upon her robust academic and professional background, including foundational degrees in computer science and information technology. Her academic rigor complements her industry-focused innovations, bridging the gap between theoretical advancements and real-world applications. As an Adjunct Faculty member at MAHE, she has also contributed to curriculum development and has trained over 900 learners in a single session, reinforcing her commitment to AI education and knowledge dissemination.

Experience

Over the course of her career, Lakshmi Devi P has built a dynamic portfolio combining technical expertise, leadership, and community engagement. At JPMorgan Chase, she leads multiple enterprise-grade AI initiatives such as Zoom Transcribe GenAI, real-time anomaly detection systems, and semantic search engines. Her prior engagements with Capgemini, RetailOn, and Honeywell involved diverse projects including sentiment analysis, ROI forecasting, and OCR-driven automation. Beyond her corporate role, her teaching position at MAHE and collaborations with academic bodies like CIT and SSIT have enabled her to mentor aspiring data scientists and contribute meaningfully to AI literacy.

Research Interest

Lakshmi’s primary research interests lie at the intersection of Generative AI, Natural Language Processing, and ethical AI frameworks. She is particularly focused on the integration of Large Language Models (LLMs) into software engineering and system architecture. Her patented method for using LLMs to generate updated software architectures is a hallmark of her contribution to AI-driven automation. Additional interests include real-time anomaly detection, AI infrastructure design, vector embeddings, and retrieval-augmented generation systems. Her emphasis on ethical and inclusive AI underlines her belief that technological advancement must align with social responsibility and fairness.

Award

Lakshmi has been nominated for the AI Breakthrough Award in recognition of her innovative work in deploying GenAI solutions within the financial sector, publishing educational content, and mentoring underrepresented groups in AI. Her achievements exemplify groundbreaking contributions across research, enterprise application, and community upliftment. Her involvement in the Force for Good initiative reflects her dedication to leveraging AI for meaningful societal impact.

Publication

Lakshmi Devi P has authored a book titled “Transformers and Beyond: Building the Next Generation of Generative AI Systems” (ISBN: 979-8281458283), offering deep insights into foundation models and multimodal AI. She has also published the following journal articles:

  1. Real Valued Outputs of Cab Bookings using Regression and Ensemble Techniques Comparison Analysis, IJ for Research & Development in Technology, Vol. 13(2), Feb 2020, IF: 6.88.

  2. IOT Based Illegal Trees Cutting Prevention and Monitoring with Web App Using Raspberry Pi, IJ of Innovative Research in Science, Engineering and Technology, Vol. 8(7), Jul 2019, IF: 7.089.

  3. IOT based Waste Management System for Smart City, IAETSD Journal for Advanced Research in Applied Sciences, Vol. 4(7), Dec 2017, IF: 5.2.

  4. Helmet using GSM and GPS Technology for Accident Detection and Reporting System, IJRITCC, Vol. 4(5), May 2016, IF: 5.837.

  5. Real Time Tele Health Monitoring System, IJRITCC, Vol. 4(3), Mar 2016, IF: 5.837.

  6. Matlab Code For Identification Of Graphics Objects In Aircraft Displays, IJRITCC, Vol. 4(3), Mar 2016, IF: 5.837.

  7. SMS based Home Automation using CAN Protocol, IJRITCC, Vol. 4(3), Mar 2016, IF: 5.837.

Each of these publications demonstrates Lakshmi’s commitment to blending practical solutions with academic rigor, often cited for their interdisciplinary applications in IoT, automation, and AI.

Conclusion

Lakshmi Devi P represents the archetype of a modern AI leader—technically adept, ethically grounded, and socially conscious. Her body of work spans patented innovations, impactful AI deployments in high-stakes industries, academic contributions, and grassroots mentorship. By aligning enterprise performance with societal benefits, she embodies the transformative promise of AI. Whether through cutting-edge research, large-scale training, or community initiatives, Lakshmi continues to push boundaries, making her a deserving candidate for the AI Breakthrough Award and a role model in the data science ecosystem.