Kennedy Chibuzor Onyelowe | Engineering | Outstanding Scientist Award

Assoc. Prof. Dr. Kennedy Chibuzor Onyelowe | Engineering | Outstanding Scientist Award

Michael Okpara University of Agriculture Umudike | Nigeria

Dr. Kennedy Chibuzor Onyelowe,  is a distinguished Associate Professor of Civil Engineering at Michael Okpara University of Agriculture, Umudike, Nigeria, with a robust background in geotechnical engineering and sustainable construction materials. His academic journey has spanned multiple institutions across Nigeria and Greece, with notable expertise in computational soil mechanics and environmental geotechnics.

Professional profile👤

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

  • Extensive Academic Background: Dr. Onyelowe holds a Ph.D. in Civil Engineering (Geotechnical Engineering) and is currently pursuing another doctoral dissertation, showcasing ongoing dedication to advancing knowledge.
  • Diverse Research Interests: His expertise spans Computational Soil Mechanics, Sustainable Construction Materials, Nanomaterials Technology, and more, reflecting a multidisciplinary approach essential for tackling modern engineering challenges.
  • Significant Teaching Experience: With over 15 years of teaching experience at undergraduate and postgraduate levels, he has mentored future engineers and contributed to shaping academic curricula.
  • Research Contributions: His work on synthesizing nanostructured ash, solid waste-based geopolymer cements, and modeling the effects of contact and seepage forces demonstrates innovative approaches in geotechnical and environmental engineering.
  • Publications and Editorial Roles: Dr. Onyelowe has a strong publication record and holds editorial roles in reputable journals, highlighting recognition by the global scientific community.
  • Leadership and Service: Serving as Deputy Dean, participating in university committees, and organizing engineering events showcase his leadership qualities and commitment to institutional development.

Education 🎓

Dr. Onyelowe holds a Doctoral Dissertation from the University of the Peloponnese, Patras, Greece (2022-2025), focusing on Civil Engineering (Structures). He earned his Ph.D. in Civil Engineering (Geotechnical Engineering) from the University of Nigeria, Nsukka (2012-2015), following his Master of Engineering in Civil Engineering (Soil Mechanics and Foundation Engineering) from the same institution (2009-2010). His undergraduate studies culminated in a Bachelor of Engineering in Civil Engineering (Structures) from the Federal University of Technology, Owerri (1998-2003).

Experience 🎗️

Dr. Onyelowe’s academic career began in 2007 as a Graduate Assistant at Michael Okpara University of Agriculture, Umudike, where he steadily advanced through the ranks to become an Associate Professor in 2021. He has held multiple concurrent roles, including Associate Professor (Sabbatical) at Niger Delta University and Research Fellow at the University of the Peloponnese. His extensive teaching experience spans undergraduate to Ph.D. supervision, with research focusing on sustainable construction materials and computational geotechnics.

Research Interests On Engineering 🔬

His research interests encompass Computational Soil Mechanics, Structures Concrete, Soft Computing/Artificial Intelligence, Sustainable Construction Materials, Geotechnical Engineering, Unsaturated Soil Mechanics, Modeling and Optimization, Nanomaterials Technology, Environmental Geotechnics, Computational Geotechnics, Transportation Geotechnics, Soil Erosion, Experimental Geotechnics, Solid Waste, and Geomaterials.

Awards 🏆

Dr. Onyelowe has been recognized internationally for his contributions to geotechnical engineering and sustainable construction materials. His accolades include memberships in prestigious professional bodies such as the International Society of Soil Mechanics and Geotechnical Engineering (ISSMGE) and the International Association of Engineers (IAENG).

Publications 📚

  1. Title: Recycling and reuse of solid wastes; a hub for ecofriendly, ecoefficient and sustainable soil, concrete, wastewater and pavement reengineering

    • Authors: KC Onyelowe, D Bui Van, O Ubachukwu, C Ezugwu, B Salahudeen
    • Year: 2019
    • Citations: 84
  2. Title: Multi-objective optimization of sustainable concrete containing fly ash based on environmental and mechanical considerations

    • Authors: KC Onyelowe, DPN Kontoni, AM Ebid, F Dabbaghi, A Soleymani
    • Year: 2022
    • Citations: 74
  3. Title: Scheffe optimization of swelling, California bearing ratio, compressive strength, and durability potentials of quarry dust stabilized soft clay soil

    • Authors: K Onyelowe, G Alaneme, C Igboayaka, F Orji, H Ugwuanyi, DB Van
    • Year: 2019
    • Citations: 72
  4. Title: A comparative review of soil modification methods

    • Authors: C Onyelowe Ken, FO Okafor
    • Year: 2006
    • Citations: 72
  5. Title: Application of 3-algorithm ANN programming to predict the strength performance of hydrated-lime activated rice husk ash treated soil

    • Authors: KC Onyelowe, M Iqbal, FE Jalal, ME Onyia, IC Onuoha
    • Year: 2021
    • Citations: 67
  6. Title: Nanosized palm bunch ash (NPBA) stabilisation of lateritic soil for construction purposes

    • Authors: KC Onyelowe
    • Year: 2019
    • Citations: 66
  7. Title: Effect of micro sized quarry dust particle on the compaction and strength properties of cement stabilized lateritic soil

    • Authors: RK Etim, DU Ekpo, IC Attah, KC Onyelowe
    • Year: 2021
    • Citations: 59
  8. Title: Durability of nanostructured biomasses ash (NBA) stabilized expansive soils for pavement foundation

    • Authors: KC Onyelowe, BV Duc
    • Year: 2020
    • Citations: 56
  9. Title: Smart computing models of California bearing ratio, unconfined compressive strength, and resistance value of activated ash-modified soft clay soil with adaptive neuro-fuzzy inference system

    • Authors: M Iqbal, KC Onyelowe, FE Jalal
    • Year: 2021
    • Citations: 55
  10. Title: Rheology of mechanical properties of soft soil and stabilization protocols in the developing countries-Nigeria

  • Authors: K Onyelowe, DB Van, C Igboayaka, F Orji, H Ugwuanyi
  • Year: 2019
  • Citations: 55

Conclusion 🔖

Dr. Kennedy Chibuzor Onyelowe’s career is a testament to his dedication to advancing civil engineering through sustainable and innovative practices. His contributions to teaching, research, and professional practice continue to inspire future generations of engineers while addressing global challenges in geotechnics and construction materials.

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)

💼 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.