Pratiksha Chaudhari | Machine Learning | Best Researcher Award

Published on by Academic Achievements

Ms. Pratiksha Chaudhari | Machine Learning | Best Researcher Award

Ms. Pratiksha Chaudhari | Machine Learning | Doctoral Candidate at The University of Alabama | United States

Ms. Pratiksha Chaudhari is a dedicated researcher and emerging academic in the field of Computer Science, specializing in Artificial Intelligence (AI), Machine Learning (ML), and Computer Vision. She is currently pursuing her Ph.D. in Computer Science at the University of Alabama, USA, where her work focuses on developing intelligent and data-driven systems for smart buildings and environmental monitoring. She holds a Master of Science in Computer Science and a Bachelor of Engineering in Computer Engineering from the University of Pune, India, both completed with distinction. Throughout her academic career, Ms. Pratiksha Chaudhari has demonstrated exceptional technical proficiency, combining theoretical depth with practical implementation in areas such as deep learning architectures, AI-based automation, and hydrological modeling. Professionally, she has gained valuable experience as a Graduate Research Assistant and Teaching Assistant at the University of Alabama, contributing to federally funded projects by the Cooperative Institute for Research to Operations in Hydrology (CIROH), U.S. Geological Survey (USGS), and the Great Lakes Protection Fund (GLPF). Her expertise spans Python, C++, PyTorch, TensorFlow, OpenCV, and QT Creator, alongside an ability to build and optimize large-scale AI frameworks for IoT and environmental data analysis. Her research interests include smart infrastructure, sustainable AI systems, microplastic detection, and federated learning-based IoT applications. Ms. Chaudhari has published multiple peer-reviewed papers in IEEE and Scopus-indexed journals, contributing to the advancement of applied AI research. She has been recognized for her academic excellence, innovative research contributions, and mentoring roles in interdisciplinary learning environments. With her growing portfolio of impactful publications and ongoing collaborations, Ms. Pratiksha Chaudhari continues to demonstrate strong potential as a future leader in AI research, committed to creating intelligent, ethical, and sustainable technologies for real-world applications.

Profile: ORCID | Google Scholar

Featured Publications 

  1. Chaudhari, P. (2025). Translution: A Hybrid Transformer–Convolutional Architecture with Adaptive Gating for Occupancy Detection in Smart Buildings. Electronics. 5 Citations.

  2. Chaudhari, P. (2024). Fundamentals, Algorithms, and Technologies of Occupancy Detection for Smart Buildings Using IoT Sensors. Sensors. 8 Citations.

  3. Chaudhari, P. (2024). Deep Learning-Based Streamflow Reconstruction Using Hydro-Transformer Models for Climate Data Analysis. Environmental Modelling & Software. 4 Citations.

  4. Chaudhari, P. (2023). Real-Time Detection and Classification of Microplastic Particles Using OpenCV and Raman Spectroscopy. Journal of Environmental Informatics. 6 Citations.

  5. Chaudhari, P. (2023). Federated Learning Models for Anomaly Detection in IoT-Enabled Smart Environments. IEEE Internet of Things Journal. 9 Citations.

  6. Chaudhari, P. (2022). AI-Powered Vocal Coaching System Using Wearable Sensors and Machine Learning Feedback Loops. Computers in Human Behavior. 3 Citations.

  7. Chaudhari, P. (2022). Developing an AI Framework for Smart Building Energy Optimization Using Transformer Networks. Applied Energy. 7 Citations.

 

Oswald Chong | Artificial Intelligence | Best Researcher Award

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Dr. Oswald Chong | Artificial Intelligence | Best Researcher Award

Dr. Oswald Chong | Artificial Intelligence-Associate Professor at Arizona State University, United States

Dr. Wai Oswald Chong is an esteemed Associate Professor at Arizona State University, specializing in sustainable engineering and the built environment. His pioneering work integrates artificial intelligence, data science, and engineering principles to optimize infrastructure design, construction, and sustainability. With a focus on carbon-neutral solutions and resource optimization, his research has significantly influenced the fields of green building, lifecycle assessment, and energy efficiency. Over the years, Dr. Chong has led numerous groundbreaking projects, contributing to the advancement of engineering practices and sustainability in the built environment.

Profile:

Scopus | Orcid

Education:

Dr. Chong pursued his higher education in engineering, earning advanced degrees that laid the foundation for his expertise in sustainable engineering. His academic journey was marked by a strong commitment to integrating data science and engineering, equipping him with the skills to develop innovative solutions for complex infrastructure challenges. Throughout his academic training, he focused on optimizing construction processes, reducing environmental impact, and enhancing resource efficiency.

Experience:

With an extensive background in academia and industry, Dr. Chong has held key roles in research, teaching, and consultancy. As an Associate Professor at Arizona State University, he has mentored students, conducted cutting-edge research, and collaborated with global institutions. His work spans multiple disciplines, including civil, fire, electrical, mechanical, and green engineering. His involvement in international projects and consultancy roles has strengthened his reputation as a leading expert in sustainable engineering, contributing valuable insights to the industry’s evolution.

Research Interests:

Dr. Chong’s research focuses on the intersection of engineering, artificial intelligence, and sustainability. His key areas of interest include:

  • Knowledge Systems and Models: Integrating codes, standards, regulations, and best practices across multiple engineering domains.
  • Data-Driven Engineering Optimization: Utilizing AI and big data to enhance project design, safety, cost efficiency, and lifecycle management.
  • Resource Optimization: Enhancing the sustainable use of energy, water, raw materials, and carbon in construction projects.
  • Carbon-Neutral Solutions: Developing predictive analytics and lifecycle assessments to minimize environmental footprints.
  • Circular Economy in Semiconductor Industry: Establishing frameworks to improve sustainability in high-tech industries.

Awards & Recognitions:

Dr. Chong’s contributions have been widely recognized through prestigious awards and accolades. His innovative research in sustainable engineering has earned him funding from leading institutions, including the National Science Foundation and various governmental agencies. His projects on carbon emissions modeling and lifecycle performance have been instrumental in shaping policies and best practices in energy-efficient engineering.

Selected Publications 📚:

  1. Event-Induced Anomalies in Energy Consumption – ASCE Journal of Architectural Engineering (2025) 📅 🔗 https://ascelibrary.org/article/10.1061/(ASCE)AE.1943-5568.0000231
    🔍 Cited by 15 articles
  2. Optimizing HVAC Systems for Semiconductor Fabrication – Journal of Building Engineering (2024) 📅 🔗 https://doi.org/10.1016/j.jobe.2024.109397
    🔍 Cited by 30 articles
  3. Semiconductor Fab Energy Optimization – Engineering Technology (2024) 📅 🔗 https://juniperpublishers.com/etoaj/pdf/ETOAJ.MS.ID.555674.pdf
    🔍 Cited by 22 articles
  4. Determining Critical Success Factors for Urban Residential Reconstruction – Sustainable Cities and Society (2023) 📅 🔗 https://doi.org/10.1016/j.scs.2023.104977
    🔍 Cited by 18 articles
  5. Empowering Owners of Small and Medium Commercial Buildings – Energies (2023) 📅 🔗 https://doi.org/10.3390/en16176191
    🔍 Cited by 12 articles
  6. Quality Management Platform During COVID-19 – Journal of Civil Engineering and Management (2023) 📅 🔗 https://doi.org/10.3846/jcem.2023.18687
    🔍 Cited by 10 articles
  7. Big Data and Cloud Computing for Sustainable Building Energy Efficiency – Elsevier Science and Technology (2016) 📅 🔗 https://doi.org/10.1016/j.jobe.2024.109397
    🔍 Cited by 50 articles

Conclusion:

Dr. Wai Oswald Chong is a distinguished researcher whose work has significantly advanced the field of sustainable engineering. His dedication to integrating AI and data science into engineering has led to the development of more efficient, environmentally friendly, and cost-effective construction practices. With a strong record of publications, ongoing research, and impactful industry collaborations, he stands as a deserving candidate for the Best Researcher Award. His expertise and contributions continue to shape the future of engineering, promoting sustainable development and innovation in the built environment.