Srujana Manigonda | Data Science | Research Excellence Distinction Award

Posted on by Academic achievements

Ms. Srujana Manigonda | Data Science | Research Excellence Distinction Award 

Ms. Srujana Manigonda | Data Science – Capital One, United States

Srujana Manigonda is an accomplished Data Scientist and Data Analyst with a strong background in statistical data analysis, machine learning, data governance, and business intelligence. With years of expertise in handling large-scale data processing, ETL development, and predictive modeling, she has played a pivotal role in transforming enterprise data ecosystems. Her contributions to data lineage, financial analytics, and scalable reporting solutions have significantly impacted major industries, including finance, manufacturing, and technology. As a recognized researcher, she has published multiple papers in renowned journals, advancing the field of data science and analytics. Through her research and technical proficiency, she has established herself as a leader in data-driven decision-making and AI innovation.

Professional Profile :

Google Scholar

Education

Srujana Manigonda pursued her Master’s in Business and Information Systems from a prestigious institution, equipping her with advanced analytical and technical skills essential for modern data science applications. Prior to that, she earned a Bachelor’s degree in Information Technology, laying the foundation for her expertise in database management, software development, and algorithmic problem-solving. Her academic journey reflects a strong commitment to leveraging data science for industry transformation and shaping the future of data analytics and governance.

Experience

With extensive experience in data analytics, data governance, and AI-driven decision-making, Srujana has worked on high-impact projects across multiple industries. She has led initiatives in enterprise data systems, financial reporting automation, and digital marketing analytics, driving business intelligence and operational efficiency. Her work in cloud computing, data engineering, and machine learning model development has provided businesses with actionable insights, resulting in optimized business processes and cost savings. Throughout her career, she has collaborated with cross-functional teams, data engineers, and executives, ensuring the seamless integration of AI-driven solutions into enterprise frameworks. Additionally, her role as a peer reviewer for reputed scientific journals has contributed to the advancement of research methodologies in data science and AI.

Research Interest

Srujana’s research focuses on data governance, machine learning, data privacy, and AI-driven analytics. She is passionate about developing scalable data infrastructures, ensuring data integrity, security, and ethical AI applications. Her work explores metadata management, financial technology analytics, and predictive modeling to drive efficient business strategies. She is also deeply invested in researching automated data lineage tracking, anomaly detection, and enterprise data security frameworks, which are crucial for ensuring trustworthy AI systems. Through her research, she aims to bridge the gap between industry and academia, fostering innovation in big data analytics and cloud-based AI solutions.

Awards

Srujana Manigonda has received prestigious accolades recognizing her contributions to data analytics and research excellence. She was honored with the Titan Business Award (2024) for her leadership in data-driven innovation. Additionally, she received the Global Recognition Award (2024) for her outstanding research contributions to enterprise data management and analytics. In 2024, she was awarded the International Distinguished Researcher Award in Data Analytics, further solidifying her reputation as a leading expert in data science. Her ability to translate complex data into meaningful insights has earned her widespread recognition from both industry and academia.

Publications

📄 “Scaling Enterprise Data Systems for Complex Reporting and Analytics at the Enterprise Level” – IJACT, 2024
📄 “Empowering Data-Driven Decision Making in Manufacturing” – ESP JETA, 2021
📄 “Data Privacy and Sovereignty in Financial Technology: Governance Strategies for Global Operations” – IJSAT, 2021
📄 “The Role of Metadata Management in Data Governance: Enhancing Visibility and Control Across Complex Pipelines” – IJIRMPS, 2021
📄 “Data Lineage and Traceability in Manufacturing: Achieving End-to-End Data Visibility” – IJIRMPS, 2020
📄 “Data Governance in Manufacturing: Protecting Intellectual Property and Ensuring Data Integrity” – IJIRCT, 2019
📄 “Advanced Data Quality Assurance Techniques in Financial Data Processing: Beyond the Basics” – IJIRMPS, 2022

Conclusion

Srujana Manigonda’s contributions to data science, AI research, and enterprise analytics have positioned her as a pioneer in data-driven innovation. Her ability to bridge the gap between research and industry applications has led to breakthrough advancements in data governance, financial technology, and large-scale data processing. Through her academic excellence, extensive research, and real-world impact, she continues to shape the future of AI-driven business intelligence. With a strong foundation in data science methodologies, cloud computing, and enterprise analytics, Srujana remains committed to driving transformative change in the field. Her visionary approach and relentless pursuit of excellence make her a deserving candidate for the Research Excellence Distinction Award.

Subhrangshu Adhikary | Machine Learning | Young Scientist Award

Posted on by Academic achievements

Mr Subhrangshu Adhikary | Machine Learning | Young Scientist Award

Mr Subhrangshu Adhikary, Spiraldevs Automation Industries Pvt. Ltd. India

Subhrangshu Adhikary is the Director of Spiraldevs Automation Industries Pvt. Ltd. and a PhD scholar at the National Institute of Technology, Durgapur. With a passion for leveraging scientific advancements to solve real-world problems, he aims to make a positive impact on society and the environment. Adhikary has a diverse skill set encompassing big data, AI, and IoT, and he is recognized for his leadership in both academia and industry. His work spans across research, innovation, and technology development, reflecting his commitment to advancing knowledge and practical solutions in computer science and engineering.

Publication Profile

Scopus

Strengths for the Award

  1. Significant Contributions to Research:
    • Subhrangshu Adhikary has made notable contributions in various fields including machine learning, big data, and biomedical signal processing. His research work covers a range of topics such as secure classification frameworks, document classification with vision transformers, and advanced cryptographic algorithms.
    • His papers, such as those published in Biomedical Signal Processing and Control and Machine Learning and Knowledge Extraction, demonstrate his expertise and innovative approach to complex problems.
  2. Innovative Intellectual Properties:
    • Adhikary holds multiple patents and copyrights, which showcase his ability to develop practical and innovative solutions. For instance, his patents related to fault-tolerant storage systems and decentralized sensor networks are indicative of his technical prowess and creativity.
  3. Awards and Recognition:
    • His achievements, including the Best Research Award at SMTST-2020 and several accolades from NPTEL, highlight his recognition within the scientific community. These awards underline his commitment to excellence and his impact on the field of computer science and engineering.
  4. Diverse Skill Set:
    • His broad technical skill set in areas such as big data, AI/ML, and IoT, combined with his experience in full-stack development and various programming languages, reflects a well-rounded expertise essential for cutting-edge research.
  5. Leadership and Experience:
    • As the Director of Spiraldevs Automation Industries Pvt. Ltd. and IT Head of Drevas Vision Pvt. Ltd., Adhikary has demonstrated strong leadership skills and practical experience in managing and executing technology projects. His roles in these positions complement his research activities, providing a solid foundation for innovative and impactful work.

Areas for Improvement

  1. Publication Impact:
    • While Adhikary has numerous publications, increasing the citation impact and visibility of his work in high-impact journals could further enhance his reputation in the research community. Expanding his research into more widely recognized venues could contribute to a greater influence in his field.
  2. Interdisciplinary Collaboration:
    • Further collaboration with researchers from different disciplines could broaden the scope and application of his work. Engaging in interdisciplinary projects may lead to more diverse and impactful research outcomes.
  3. Research Visibility:
    • Increasing engagement with broader research communities through conferences and workshops could raise awareness of his contributions. Presenting at international forums and participating in collaborative research initiatives may help elevate his profile.

Education

Subhrangshu Adhikary is pursuing a Doctorate in Computer Science and Engineering at the National Institute of Technology, Durgapur, since August 2022. He earned his Bachelor of Technology in Computer Science and Engineering from Dr. B.C. Roy Engineering College, achieving a CGPA of 9.20. His academic journey began at Bethany Mission School, where he completed his Class XII with an aggregate of 74% and Class X with a perfect CGPA of 10.0. His educational background underscores his strong foundation and continued pursuit of excellence in technology and research.

Experience

Subhrangshu Adhikary has been the Director of Spiraldevs Automation Industries Pvt. Ltd. since July 2020, driving innovation and technology solutions in West Bengal. He also serves as the IT Head of Drevas Vision Pvt. Ltd., a software outsourcing company, since September 2020. His roles involve overseeing technology development and management, showcasing his leadership and expertise in the tech industry. His experience encompasses both strategic direction and technical execution, highlighting his multifaceted capabilities in technology and business management.

Awards and Honors

Subhrangshu Adhikary has been honored with the Best Research Award at the SMTST-2020 Conference, recognizing his outstanding research contributions. He has also received multiple accolades from NPTEL, including NPTEL Star, NPTEL Believer, and NPTEL Enthusiast. These awards reflect his excellence in the field of computer science and engineering. Additionally, Adhikary has achieved significant recognition through various local, school, and college-level competition wins, and ranked AIR 108 in the PNTSE Olympiad in 2015.

Research Focus

Subhrangshu Adhikary’s research focuses on integrating big data, AI, and IoT to address complex problems. His work includes developing distributed fault-tolerant storage systems, decentralized sensor networks, and advanced cryptographic algorithms. He explores machine learning applications for environmental monitoring and biomedical diagnostics. His research aims to create sustainable and impactful solutions, enhancing both theoretical knowledge and practical applications in technology and data science.

Publication Top Notes

  • “DitDViiPt PrivLet: A differential privacy and inverse wavelet decomposition framework for secure and optimized hemiplegic gait classification” 📝
  • “VisFormers—Combining Vision and Transformers for Enhanced Complex Document Classification” 📄
  • “Global marine phytoplankton dynamics analysis with machine learning and reanalyzed remote sensing” 🌊
  • “Secret learning for lung cancer diagnosis—a study with homomorphic encryption, texture analysis and deep learning” 🩺
  • “Optimized EEG based mood detection with signal processing and deep neural networks for brain-computer interface” 🧠
  • “DeCrypt: a 3DES inspired optimised cryptographic algorithm” 🔐
  • “Improved Large-Scale Ocean Wave Dynamics Remote Monitoring Based on Big Data Analytics and Reanalyzed Remote Sensing” 🌍
  • “If Human Can Learn from Few Samples, Why Can’t AI? An Attempt On Similar Object Recognition With Few Training Data Using Meta-Learning” 🤖
  • “Evolutionary Swarming Particles To Speedup Neural Network Parametric Weights Updates” ⚙️
  • “Price Prediction of Digital Currencies using Machine Learning” 💹

Conclusion

Subhrangshu Adhikary is a highly deserving candidate for the Best Researcher Award due to his significant contributions to research, innovative intellectual properties, and demonstrated leadership in the technology sector. His impressive track record of awards, patents, and publications underscores his expertise and dedication to advancing knowledge in his field. Addressing areas for improvement, such as increasing the impact of his publications and enhancing interdisciplinary collaborations, could further solidify his standing as a leading researcher. Overall, Adhikary’s achievements and potential make him a strong contender for this prestigious award.