Priyanka Salunkhe | Engineering | Women Researcher Award

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Assoc. Prof. Dr. Priyanka Salunkhe | Engineering | Women Researcher Award

Terna Engineering college, Nerul, Navi Mumbai | India

Dr. Priyanka Vijay Salunkhe serves as the Head and Associate Professor in the Department of Civil Engineering at Terna Engineering College, Nerul, Navi Mumbai. With a deep-rooted passion for structural engineering, she has dedicated her career to enhancing civil infrastructure through innovation and quality monitoring. Her expertise spans research, consultancy, and academic leadership, making significant contributions to engineering education and practice.

Professional profile👤

Google Scholar

Strengths for the Awards✨

  • Diverse Research Portfolio: Dr. Salunkhe has led projects involving advanced materials like Shape Memory Alloys and High-Strength Concrete, showcasing innovation in enhancing civil infrastructure performance and safety.
  • Industry Collaboration: Her involvement in multiple consultancy projects, structural audits, and construction quality monitoring demonstrates strong industry engagement and practical application of research.
  • Patent Achievements: Two patents, including one on water purification, highlight her ability to translate research into tangible innovations.
  • Publication Record: She has authored numerous papers in respected journals, including Springer publications, reflecting a consistent contribution to scientific literature.
  • Mentorship and Leadership: As Head & Associate Professor, she plays a key role in guiding students and leading her department, reflecting leadership and academic mentorship.

Education 🎓

Dr. Salunkhe holds a Ph.D. in Civil Engineering, where her research focused on advancing construction materials and techniques to improve infrastructure resilience. Her academic journey reflects a strong commitment to integrating theoretical knowledge with practical applications.

Experience

Dr. Salunkhe has led numerous structural audits, consultancy projects, and quality monitoring initiatives across Maharashtra. Notable projects include construction quality monitoring for model school buildings, structural audits for military and municipal infrastructure, and proof-checking for bridges and buildings. She has been empaneled as a Structural Quality Monitor (SQM) with the Tribal Development Department and contributed to projects undertaken by IIT Bombay.

Research Interests On Engineering 🔬

Her research interests lie in structural health monitoring, shape memory alloys, high-strength concrete, and sustainable construction materials. She actively explores innovative solutions for enhancing infrastructure safety and performance under extreme conditions.

Awards 🏆

  • Recipient of a Minor Research Grant from Mumbai University (2017-18) for her work on iron-based shape memory alloys.
  • Recognized for her consultancy contributions in construction quality monitoring and structural auditing.

Publications đź“–

Dr. Salunkhe has an extensive publication record, with works featured in esteemed journals and international conferences. Notable publications include:

  • Title: Effect of replacement of natural sand by manufactured sand on the properties of cement mortar
    Authors: P Jadhav, D Kulkarni
    Year: 2013
    Citations: 102

  • Title: An Experimental Investigation on the Properties of Concrete Containing Manufactured Sand
    Authors: P Jadhav, D Kulkarni
    Year: 2012
    Citations: 67

  • Title: Free and forced vibration control of piezoelectric FGM plate subjected to electro-mechanical loading
    Authors: PA Jadhav, KM Bajoria
    Year: 2013
    Citations: 39

  • Title: Buckling of piezoelectric functionally graded plate subjected to electro-mechanical loading
    Authors: PA Jadhav, KM Bajoria
    Year: 2012
    Citations: 24

  • Title: Stability analysis of piezoelectric FGM plate subjected to electro-mechanical loading using finite element method
    Authors: P Jadhav, K Bajoria
    Year: 2013
    Citations: 13

  • Title: Optimization of seismic response of steel structure using negative stiffness damper
    Authors: PA Jadhav, SA Shaikh
    Year: 2019
    Citations: 9

  • Title: Role of manufactured sand on the strength properties of concrete
    Authors: D Kulkarni, P Jadhav
    Year: 2009
    Citations: 7

  • Title: Buckling of Simply Supported Piezoelectric FGM Plates Subjected to Electro-Mechanical loading using Higher-order Shear Deformation Theory
    Authors: KM Bajoria, PA Jadhav
    Year: 2013
    Citations: 4

  • Title: Stability analysis of functionally graded plate integrated with piezoelectric actuator and sensor subjected to electro-mechanical loading
    Authors: P Jadhav, K Bajoria
    Year: 2012
    Citations: 4

  • Title: A review on stability and vibration control of piezolaminated composite/FGM plate structures
    Authors: PA Jadhav, KM Bajoria
    Year: 2014
    Citations: 3

Conclusion đź”—

Dr. Priyanka Vijay Salunkhe’s work exemplifies a seamless blend of research, innovation, and practical application. Her contributions to civil engineering, particularly in structural health monitoring and sustainable construction, have earned her recognition in academia and industry alike. As she continues to push the boundaries of engineering knowledge, her work paves the way for safer, more resilient infrastructure.

Suganya | Engineering | Best Researcher Award

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Dr. Suganya | Engineering | Best Researcher Award

Assistant Professor | SRM Institute of Science and Technology | India

Y. Suganya, M.E., (Ph.D.), is a dedicated academic professional with over 14 years of teaching experience in Computer Science and Engineering. Her research focuses on machine learning and deep learning techniques for ovarian cyst classification and prediction. She has contributed significantly to academia through publications, conference presentations, and departmental leadership.

Professional profile👤

Google Scholar

Strengths for the Awards✨

  • Research Excellence: Y. Suganya has a strong research background, with a focus on machine learning and deep learning applications in medical imaging, particularly ovarian cyst classification. Her Ph.D. work aligns well with contemporary research trends in AI-driven healthcare.
  • Publication Record: She has published extensively in reputable journals and conferences, including Springer and IEEE Xplore, with multiple papers indexed in Scopus. These publications demonstrate the depth and quality of her research.
  • Teaching and Mentorship: Nearly 15 years of teaching experience, with a proven track record of producing 100% results in several semesters, indicates her commitment to education and mentorship.
  • Leadership and Service: She has taken on significant responsibilities such as coordinating accreditation processes (NBA), acting as Chief Superintendent for examinations, and serving as a journal reviewer. These roles highlight her leadership skills and service to the academic community.
  • Technical Proficiency: Proficiency in programming languages like Python, C, C++, and Java supports her research in machine learning and data analysis, making her technically well-equipped.

🎓 Education

  • Ph.D. (Computer Science and Engineering)
    • Annamalai University, Tamil Nadu, India
    • Thesis: “Classification and Prediction of Ovarian Cysts Using Machine Learning and Deep Learning Techniques” (Thesis Submitted: October 16, 2023)
  • Master of Engineering (Computer Science and Engineering)
    • MIET College of Engineering (Affiliated to Anna University), Tamil Nadu, India (June 2011) – CGPA: 8.22 (First Class)
  • Bachelor of Engineering (Computer Science and Engineering)
    • Royal College of Engineering (Affiliated to Anna University), Tamil Nadu, India (April 2005) – Percentage: 66.6% (First Class)

đź’Ľ Experience

  • Assistant Professor
    • Mookambigai College of Engineering, Tamil Nadu, India (June 24, 2011 – Present)
  • Lecturer
    • Idhaya College of Engineering for Women, Tamil Nadu, India (January 2, 2006 – April 15, 2007)

🔬 Research Interests On Engineering

  • Machine Learning and Deep Learning
  • Medical Image Processing
  • Ovarian Cyst Classification and Prediction
  • Artificial Intelligence in Healthcare

🏆 Awards

  • Annual Membership in ACM Professional Membership (ID: 5666897)
  • Reviewer for Journal Manuscript (Signal, Image, and Video Processing – Springer Nature) – November 8, 2024
  • Chief Superintendent for Theory Examination (Nov/Dec 2023), Anna University
  • Coordinated NBA Accreditation Work for the Computer Science Department

đź“ť Publications

  • Title: A diagnosis of ovarian cyst using deep learning neural network with XGBoost algorithm
    Authors: Y Suganya, S Ganesan, P Valarmathi, T Suresh
    Year: 2023
    Citations: 17

  • Title: Ultrasound ovary cyst image classification with deep learning neural network with Support vector machine
    Authors: Y Suganya, S Ganesan, P Valarmathi
    Year: 2022
    Citations: 11

  • Title: Classification of medical x-ray images for automated annotation
    Authors: S Ganesan, TS Subashini
    Year: 2014
    Citations: 10

  • Title: Novel approach of internet of things (IoT) based smart ambulance system for patient’s health monitoring
    Authors: A Bekkanti, R Aishwarya, Y Suganya, P Valarmathi, S Ganesan, …
    Year: 2021
    Citations: 7

  • Title: Classification of X-rays using statistical moments and SVM
    Authors: S Ganesan, TS Subashini, K Jayalakshmi
    Year: 2014
    Citations: 7

  • Title: An approach toward the efficient indexing and retrieval on medical X-ray images
    Authors: S Ganesan, TS Subashini
    Year: 2013
    Citations: 7

  • Title: A content based approach to medical X-Ray image retrieval using texture features
    Authors: S Ganesan, TS Subashini
    Year: 2014
    Citations: 6

  • Title: A Comparative Study on Consumer Courts in Tamil Nadu & Kerala States-A Statistical Survey Report
    Authors: BY Krishna, Y Suganya
    Year: 2011
    Citations: 5

  • Title: Fuzzy based detection and swarm based authenticated routing in MANET
    Authors: K Shanthi, T Jebarajan, P Sampath, W AMITABH, D RAMYA, …
    Year: 2014
    Citations: 3

  • Title: Comparative analysis of ovarian images classification for identification of cyst using ensemble method machine learning approach
    Authors: Y Suganya, S Ganesan, P Valarmathi
    Year: 2022
    Citations: 2

đź“Š Conclusion

Y. Suganya is a passionate educator and researcher who has made remarkable contributions to machine learning and medical image processing, specifically focusing on ovarian cyst classification and prediction. With a wealth of teaching experience, active participation in departmental responsibilities, and numerous research publications, she continues to inspire and shape the future of computer science students.