Pratiksha Chaudhari | Machine Learning | Best Researcher Award

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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.

 

Anjan Kumar Ayyadapu | Bigdata | Research Excellence Distinction Award

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Mr. Anjan Kumar Ayyadapu | Bigdata | Research Excellence Distinction Award

Mr. Anjan Kumar Ayyadapu | Bigdata CyberSecurity – Leader Solution Architect at Cloudera Inc, United States

Anjan Kumar Reddy Ayyadapu is an accomplished researcher and technology expert specializing in artificial intelligence, machine learning, big data, and cloud security. With a career spanning multiple domains, he has significantly contributed to cutting-edge advancements in IT infrastructure and cybersecurity. His expertise has been instrumental in developing innovative solutions that integrate artificial intelligence with big data analytics to enhance cloud security. He has worked with reputed organizations and has published extensively in international journals and conferences, making substantial contributions to the field of computer science and engineering.

Profile 

ORCID |  Google Scholar

Education

Anjan Kumar Reddy Ayyadapu holds a Master of Science in Electrical Engineering from the University of South Alabama, Mobile, AL, USA, which he completed in May 2015. His undergraduate studies were in Electronics and Communication Engineering at Jawaharlal Nehru Technological University, Hyderabad, India, where he earned his Bachelor of Engineering and Technology degree in May 2008. His strong academic background laid the foundation for his expertise in artificial intelligence, machine learning, and cybersecurity.

Experience

With extensive experience in academia and industry, Anjan Kumar Reddy Ayyadapu has worked across multiple disciplines, including artificial intelligence, machine learning, deep learning, big data analytics, and cloud security. His contributions to IT infrastructure and cybersecurity for both private and public cloud environments have been widely recognized. At Cloudera, Inc., he has played a pivotal role in advancing research and developing solutions that optimize data-driven security mechanisms. His work includes designing collaborative recommender systems, implementing AI-driven big data security measures, and innovating cloud security methodologies using hybrid artificial intelligence techniques.

Research Interests

Anjan Kumar Reddy Ayyadapu’s research primarily focuses on artificial intelligence, machine learning, big data, and cybersecurity. His investigations into AI-driven security analytics and deep learning applications for cloud environments have made substantial impacts in these fields. He is particularly interested in integrating AI with big data analytics to enhance cloud security frameworks. Additionally, his research explores the optimization of incident response systems, privacy-preserving AI methodologies, and the implementation of AI in cybersecurity threat mitigation.

Awards & Recognitions

Throughout his career, Anjan Kumar Reddy Ayyadapu has received numerous accolades for his outstanding contributions to research and technology. His work has been recognized in international conferences and journals, and he has earned multiple professional certifications, including AWS Certified Solutions Architect (Professional & Associate), AWS Certified Machine Learning Specialist, and AWS Developer Associate. He has also been awarded several professional badges and credentials from recognized institutions for his expertise in cloud computing, artificial intelligence, and cybersecurity.

Publications 📚

  1. Collaborative Recommender Systems for Building Automation: A Hybrid ANN-FOA Approach (2024, IEEE ICECCC) 🔗
  2. An Application of NB-GA Model: A Study of Logistics Performance and Economic Attributes (2024, IEEE IACIS) 🔗
  3. Embedded Software Development (2024, Zenodo) 📖 ISBN: 978-81-973645-2-5
  4. DATA VISUALIZATION AND INTERPRETATION USING MACHINE LEARNING (2024, Xoffencer) 📖 ISBN: 978-81-19534-64-7
  5. Securing Cloud Data with a Hybrid Approach: Machine Learning and Cryptosystems (2024, Patent) 🏅 The Patent Office Journal No. 06
  6. Enhancing Cloud Security With AI-Driven Big Data Analytics (2023, INTERNATIONAL NEUROUROLOGY JOURNAL) 🔗
  7. Optimizing Incident Response in Cloud Security with AI and Big Data Integration (2023, Chelonian Conservation and Biology) 🔗

Conclusion

Anjan Kumar Reddy Ayyadapu is a distinguished researcher, author, and technology innovator whose contributions to artificial intelligence, machine learning, and cybersecurity continue to shape the future of cloud security. His extensive research output, industry experience, and numerous accolades position him as a leading expert in his field. Through his work, he has demonstrated an unwavering commitment to advancing AI-driven security solutions, optimizing IT infrastructures, and enhancing data security in cloud computing. His impactful research and dedication to technological progress make him a deserving candidate for recognition and accolades in the field of computer science and engineering.

 

Chandra Sekhar Kolli | Nanotechnology| Best Researcher Award

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Dr.Chandra Sekhar Kolli| Data Science | Best Researcher Award

Dr. Chandra Sekhar Kolli ,Shri Vishnu Engineering College for Women, India

Dr. Chandra Sekhar Kolli is associated with Shri Vishnu Engineering College for Women in India. He holds expertise in [mention his area of expertise, e.g., computer science/engineering]. Dr. Kolli has contributed significantly to academia through research, publications, and academic leadership roles. His professional journey is marked by a commitment to education and innovation in [mention specific field if

Profile

Scopus

Education:

Ph.D. in Computer Science and Engineering from GITAM University, Visakhapatnam, 2021.,M.Tech in Computer Science and Engineering from Hindustan University, Chennai, 2011.,MCA from Andhra University, Visakhapatnam, 2008.,B.Sc in Computer Science from Andhra University, Visakhapatnam, 2005.,Intermediate (MPC) from Govt Junior College, West Godavari District, 2002.,SSC from ZPH School, West Godavari District, 2000.

Experience:

Associate Professor at Shri Vishnu Engineering College for Women, Bhimavaram, West Godavari since June 2023.,Assistant Professor at GITAM (Deemed to be University), Visakhapatnam from July 2022 to June 2023.,Assistant Professor at Aditya College of Engineering & Technology, East Godavari from July 2021 to June 2022.,Assistant Professor at KL University, Guntur District from October 2017 to June 2021.,Assistant Professor at Madanapalle Institute of Technology & Science, Chittoor District from December 2010 to September 2017.

Skills:

  • Programming Languages: Python, Java, C++, C.
  • Database: NoSQL (Mongo DB), Oracle SQL.
  • Algorithms: Data Structures using C, C++, Java, Python, and Design and Analysis of Algorithms (DAA).
  • Core Courses: Machine Learning, DBMS, Operating Systems, Computer Networks.

Awards:

Best Teacher Award for the Academic Year 2019-20, CSE Department, KL University, Vijayawada.,WIPRO Certified Faculty – Qualified in Wipro Talent Next Global Certification in October 2020.,Automation Anywhere Certified in Advanced Level.,Ratified as an Assistant Professor by JNTU Kakinada and JNTU Anantapur.

Research Focus:

Dr. Chandra Sekhar Kolli’s research focuses on several areas including:,Deep Learning and Neural Networks.,IoT Integration and Applications.,Fraud Detection in Banking Transactions.,Machine Learning Applications in Healthcare.,Image Processing and Computer Vision.

 publications:

    • Dr. Kolli has a substantial number of research publications including:
      • Journal Articles: SCI and SCOPUS indexed articles.
      • Conference Papers: Presented at international conferences on topics ranging from IoT to AI and cybersecurity.
      • Book Chapters: Contributions in books related to Robotics, IoT, and Deep Learning.