Dr. Trisandhya Pidugu | Assistant Professor in Mathematics | Best Researcher Award

Dr. Trisandhya Pidugu | Assistant Professor in Mathematics | Best Researcher Award

Bharati Vidyapeeths College of Engineering, India

Profile 

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🌱 Early Academic Pursuits

Dr. Pidugu Trisandhya’s academic journey is marked by dedication and a keen interest in mathematics. She earned her Master’s degree in Mathematics, excelling in her field and securing the prestigious “Prathibha Award” from the Government of Andhra Pradesh in 2014 for her remarkable performance in her MSc Mathematics examination. Following her passion, she pursued a Ph.D. in Mathematics at the University of Delhi, completing her doctorate in 2022. Her academic foundation in advanced mathematical theories laid a strong groundwork for her research in fields such as Sampling Theory, Statistical Inference, and Sensitive Estimation Theory, areas in which she continues to make significant contributions.

📈 Professional Endeavors

Dr. Trisandhya began her career in academia as an Assistant Professor at Bharati Vidyapeeth’s College of Engineering (BVCOE) in 2022. At BVCOE, she not only imparts her extensive knowledge in mathematics to undergraduate students but also actively participates in the institution’s academic growth. Dr. Trisandhya’s research interests and expertise have added depth to BVCOE’s faculty, and her role as an educator goes beyond traditional teaching. She mentors undergraduate students on mini-projects and has supported students’ participation in the national-level “Smart India Hackathon,” a platform promoting innovative problem-solving.

Her professional journey has been complemented by her research work as a Junior Research Fellow (JRF) on a major research project funded by the Science and Engineering Research Board (SERB) in New Delhi. This project, titled “Design and Analysis of Sensitive Characteristics on Successive Occasions and its Applications” (File Number: EMR/2016/000455), allowed her to delve deeply into complex research methodologies, expanding her expertise and laying the foundation for her future scholarly pursuits.

📚 Contributions and Research Focus

Dr. Trisandhya’s research interests lie in Sampling Theory, Statistical Inference, and Sensitive Estimation Theory, where she has contributed significantly. She has published 15 research papers in reputed, peer-reviewed international journals, furthering understanding and advancing knowledge in statistical and mathematical methodologies. Dr. Trisandhya’s recent research contributions have been focused on sensitive estimation techniques, aiming to create robust methods for dealing with statistical data that require enhanced accuracy and precision.

In addition to her publications, she has also reviewed manuscripts for high-impact journals such as Springer Nature, Statistics and Probability Letters, and the Journal of Statistical Planning and Inference, showcasing her commitment to maintaining rigorous standards in the academic community. Her citation index stands at an impressive 43, reflecting the impact of her research in the field of mathematics. Notably, her collaborations with academic experts from around the world, including esteemed professors such as Prof. Sat Gupta from the University of North Carolina, Prof. Ajay Kumar from the University of Delhi, and Dr. Richa Mittal from NIT Calicut, highlight her global research network.

🏆 Accolades and Recognition

Dr. Trisandhya’s excellence in research and academia has earned her several prestigious awards and recognitions. In 2023, she received the Research Excellence Award from Bharati Vidyapeeth’s College of Engineering, a testament to her ongoing dedication to scholarship and her commitment to advancing mathematical research. Her remarkable achievements in education and research have positioned her as a prominent figure in her field, underscoring her academic rigor and scholarly contributions.

🌍 Impact and Influence

Dr. Trisandhya’s influence extends beyond her research publications; she actively shapes the academic environment through her mentorship and guidance. As a mentor for various student projects and a proactive contributor to conferences and seminars, she has helped inspire the next generation of mathematicians and researchers. Additionally, her continuous learning, evidenced by her participation in professional development courses such as the “Advanced Certification in MLOps Mastery” with a 90% score and the “High-Performance Computing and Data Science” course (Grade A), reflects her dedication to remaining at the cutting edge of her field.

These certifications, awarded through the CCE-Proficience Programme by the Indian Institute of Science (IISc) in Bengaluru, further enhance her skills in machine learning operations (MLOps) and data science, allowing her to integrate these advanced tools into her research and teaching methodologies.

🌟 Legacy and Future Contributions

With a strong foundation in mathematical research, Dr. Trisandhya is poised to make even greater strides in academia. Her future work will likely continue to explore and refine sensitive estimation and sampling theories, addressing complex challenges in data science and statistical inference. As she pursues further research collaborations and potentially expands into theoretical and computational data science, Dr. Trisandhya’s contributions will undoubtedly resonate in the mathematical community.

Through her mentorship, she is setting the stage for future scholars who will carry forward her passion for mathematics and research. Her legacy is one of academic excellence, continuous learning, and an unwavering commitment to advancing knowledge. Dr. Pidugu Trisandhya’s contributions to mathematics and her impact as an educator and mentor promise to leave a lasting impression in her field and inspire countless future researchers.

📝Notable Publications

Calibration Estimators with Different Types of Distance Measures Under Stratified Sampling in the Presence of Measurement Error

Authors: Pidugu Trisandhya (and others, if applicable)

Journal: Axioms

Year: 2024

Multimodal Machine Learning Approach for Detecting Spyware and Ransomware

Authors: Pidugu Trisandhya (and others, if applicable)

Journal: IEEE International Symposium on Computer Science (conference paper)

Year: 2024

Advances in Estimation by the Item Sum Technique in Two-Move Successive Sampling

Authors: Pidugu Trisandhya (and others, if applicable)

Journal: Statistics in Transition New Series

Year: 2023

Evaluating the Effect of Measurement Error Under Randomized Response Techniques of the Sensitive Variable in Successive Sampling

Authors: Pidugu Trisandhya (and others, if applicable)

Journal: Proceedings of the National Academy of Sciences, India Section A – Physical Sciences

Year: 2023

Application of Item Sum Technique for Estimating Quantitative Sensitive Mean on Successive Moves Using Auxiliary Information

Authors: Pidugu Trisandhya (and others, if applicable)

Journal: Communications in Statistics: Simulation and Computation

Year: 2022