Sidra Riaz | Engineering | Best Researcher Award

Ms. Sidra Riaz | Engineering | Best Researcher Award

Polytechnic of Bari | Italy

Sidra Riaz is a passionate researcher in Aerospace Engineering with a strong foundation in Physics and advanced numerical simulation. Currently based in Bari, Italy, she has cultivated a global academic profile through her PhD at Politecnico di Bari and a research stint at the University of Paris Nanterre, France. Her work primarily explores thermal behavior in composite materials, making valuable contributions to the aerospace and materials science communities.

Professional profile👤

Google Scholar

Strengths for the Awards✨

  • Strong Academic Background

    • PhD in Aerospace Engineering from Politecnico Di Bari, Italy with advanced research on thermal behavior in layered composites—a cutting-edge area with real-world aerospace applications.

    • Internationally trained with a solid foundation in Physics (Bachelor’s and MPhil), indicating interdisciplinary strength.

  • Research & Innovation

    • Published several high-quality papers in thermographic techniques and numerical modeling using advanced simulation tools like COMSOL and Carrera Unified Formulation (CUF).

    • Her work on composite defect analysis through Lock-in Thermography demonstrates originality and relevance to both academic and industrial applications.

  • International Exposure

    • Visiting Researcher at University of Paris Nanterre, France—showing collaboration across borders and involvement with high-end labs (LEME).

    • Attended and presented at over 10+ international conferences across Europe and Asia, proving her active engagement in global scientific communities.

  • Technical & Analytical Skills

    • Proficient in various modeling, simulation, and analysis tools: COMSOL, MATLAB, IRTA, MUL2, PATRAN, NASTRAN, OriginPro.

    • Demonstrates ability to model complex multi-layered composite materials, a skill crucial in aerospace and materials engineering.

  • Academic and Teaching Contributions

    • Prior experience as a Lecturer in Physics and Mechanics Lab supervision highlights her dedication to knowledge dissemination.

    • Supervised undergraduate projects, building a mentoring portfolio alongside her research.

🎓 Education

Sidra began her academic journey with a Bachelor’s in Physics from Government College University, Faisalabad, Pakistan (CGPA: 3.22/4.00), where she conducted a thesis on plasma properties. She pursued her Master of Philosophy in Physics at the University of Agriculture, Faisalabad (CGPA: 3.72/4.00), researching carbon nanotube synthesis using plasma-enhanced chemical vapor deposition. She then elevated her academic pursuit with a PhD in Aerospace Engineering (2021–2024) from Politecnico Di Bari, Italy. Her doctoral research, supervised by Prof. Umberto Galietti and Prof. Maria Cinefra, focused on dynamic thermal behavior in layered composites. She also worked as a Visiting Researcher at University of Paris Nanterre, under Prof. Michele D’Ottavio, contributing to the LEME Lab.

đź§Ş Experience

Sidra’s professional experience includes a teaching tenure as a Lecturer (2020–2021) at Informatics Group of Colleges & Polytechnic Institute, Faisalabad, Pakistan, where she led physics labs and supervised undergraduate projects. Her PhD and international collaborations allowed her to master advanced simulation tools and thermographic techniques. She has participated in numerous workshops and conferences across Europe and the Middle East, showcasing her findings and enhancing her scientific outreach.

🔬 Research Interests On Engineering

Sidra’s core research interests lie in numerical modeling, COMSOL Multiphysics simulations, and thermographic techniques for defect detection in composite materials. Her expertise covers Lock-in Thermography, Carrera Unified Formulation (CUF), and COMSOL-based simulation of layered composites. Her work aims at enhancing non-destructive testing methods to improve aerospace safety and efficiency.

🏆 Awards & Achievements

  • 🎓 Awarded International PhD Scholarship in Aerospace Engineering at Politecnico Di Bari, Italy

  • 🌍 Selected as a Visiting Researcher at University of Paris Nanterre, France

  • 📚 Recipient of Punjab Benevolent Fund Scholarship during undergraduate studies

  • 🏅 Consistent scholarship awardee during intermediate education

📚 Publications

Sidra has authored impactful research publications in reputable journals and conferences. Her publications include:

1. Title: The Intelligent Transportation Systems with Advanced Technology of Sensor and Network

Authors: MT Riaz, SM Aaqib, S Ahmad, S Amin, H Ali, S Husnain, S Riaz
Publication Year: 2021
Citations: 21

2. Title: Investigation of Electrical Properties of Epoxy Resin Composite with the Surface Modification of SiOâ‚‚ Nanoparticles

Authors: MT Riaz, A Zaib, MZ Khan, S Riaz, S Ahmad, H Ali, MM Qureshi
Publication Year: 2021
Citations: 4

3. Title: Effect of Thermal Conductivities and Lay-up Sequence on Defect Detection in Composite Laminate Using Lock-in Thermography Test

Authors: S Riaz, Davide Palumbo, Umberto Galietti, Maria Cinefra
Publication Year: 2024

âś… Conclusion

Sidra Riaz exemplifies the qualities of a dedicated and innovative researcher. With a global academic footprint, a solid technical foundation, and a passion for problem-solving through simulation and thermography, she is an ideal candidate for a Best Researcher Award. Her contributions to aerospace materials and collaborative mindset make her a valuable asset to the scientific community.

Suganya | Engineering | Best Researcher Award

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

📝 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

📊 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.