Bojiang Yin | Engineering | Best Researcher Award

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Mr. Bojiang Yin | Engineering | Best Researcher Award

School of Petrochemical Engineering, Lanzhou University of Technology | China

Mr. Bojiang Yin’s research primarily focuses on the fundamental and applied aspects of special valve design and process systems, with an emphasis on structural parameter optimization, reliability engineering, and multi-physics coupling dynamics. His work addresses critical challenges in extreme operating environments, such as ultra-low temperature liquid hydrogen systems, by developing innovative sealing structures and evaluating their performance using advanced computational approaches. He has employed techniques including thermo-mechanical coupling, sensitivity analysis, high-precision RBF surrogate modeling, and NSGA-II optimization to achieve reliable bidirectional sealing under cryogenic conditions. Bojiang has published in high-impact journals like Scientific Reports, contributing to the scientific understanding of valve mechanics and optimization methodologies. He has collaborated with the National Natural Science Foundation of China, the Double First-Class Key Program of Gansu Province, and other regional technology programs, bridging academic research with practical industry applications. His contributions extend to consultancy projects, product development, and providing references for the design of advanced butterfly valves, positioning him as an emerging researcher in valve innovation and cryogenic system reliability.

Profile: ORCID

Featured Publications

Li, S., Yin, B., Wei, C., Li, W., & Yang, L. (2025). Structural analysis and multi-objective optimization of sealing structure for cryogenic liquid hydrogen triple-offset butterfly valve. Scientific Reports, 15, Article 20095. https://doi.org/10.1038/s41598-025-20095-6

Vladislav Yakovlev | Engineering | Best Researcher Award

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Prof. Dr. Vladislav Yakovlev | Engineering | Best Researcher Award

Texas A&M University | United States

Dr. Vladislav V. Yakovlev is a University Professor at Texas A&M University, with joint appointments in Biomedical Engineering, Electrical & Computer Engineering, and Physics & Astronomy. A globally recognized expert in optical spectroscopy, imaging, and quantum biophotonics, he has received numerous prestigious awards, including the SPIE Harold E. Edgerton Award (2021) and the William E. Lamb Medal (2015). His work bridges fundamental science and biomedical applications.

Professional profile👤

ORCID

Google Scholar

Scopus

Strengths for the Awards✨

  1. Outstanding Research Contributions

    • High-impact publications (223+ journal articles) in prestigious journals (PNAS, ACS Photonics, Nature Methods, etc.).

    • Citations: 10,216 (h-index = 55, Google Scholar, Oct. 2024), demonstrating broad influence.

    • Interdisciplinary expertise in biomedical optics, Raman spectroscopy, machine learning, quantum biophysics, and photonics.

  2. Major Awards & Recognitions

    • SPIE Harold E. Edgerton Award (2021) – A top honor in high-speed optics.

    • William E. Lamb Medal (2015) – Recognized for laser physics and quantum optics.

    • Fellowships in multiple elite societies (APS, SPIE, Optica, AIMBE) – Indicating peer recognition.

    • TEES Genesis & Impact Awards (2022-2024) – Highlighting institutional leadership.

  3. Extensive Funding & Leadership in Research

    • Secured >$30M in competitive grants (NIH, NSF, DOD, AFOSR, NASA).

    • Current projects include quantum biology, AI-augmented Raman microscopy, and Brillouin imaging – Cutting-edge, high-impact areas.

    • Collaborations with national labs (Argonne, AFRL) and international institutions (Brazil, China, EU).

  4. Mentorship & Academic Leadership

    • Supervised 29 PhD, 4 MS students and numerous undergraduates/postdocs.

    • Students placed in top institutions (Duke, AFRL, Raytheon, NRC fellowships).

    • Faculty mentoring (5 junior faculty) and leadership in university committees.

  5. Service to Scientific Community

    • Editorial roles (Advanced Photonics, Optica, Journal of Biomedical Optics).

    • Grant reviewer for NSF, NIH, DOD, ERC, etc. – Trusted as an evaluator of cutting-edge science.

    • Conference organization (CLEO, SPIE, ICO) – Strengthening global research networks.

Education 🎓

  • Ph.D. in Quantum Electronics (1990), Moscow State University, Russia.

  • M.S. in Physics (1987), Moscow State University, Russia.

  • Honors: Lenin Fellowship (USSR’s most prestigious award), Khokhlov Fellowship.

Experience 💼

  • Professor, Texas A&M University (2012–Present).

  • Professor, University of Wisconsin–Milwaukee (2007–2011).

  • Visiting Professor at Osaka University (Japan), Zhejiang University (China), and A*STAR (Singapore).

  • Postdoctoral Researcher, UC San Diego (1992–1998).

  • Laser Engineer, Novatec Laser Systems (1992).

Research Interests On Engineering 🔍

  • Raman/Brillouin spectroscopy & imaging for biomedical diagnostics.

  • Machine learning for optical signal analysis.

  • Quantum optics in biological systems.

  • Nonlinear microscopy and remote sensing.

Awards 🏆

  • SPIE Harold E. Edgerton Award (2021).

  • William E. Lamb Medal for Laser Physics (2015).

  • Fellow of APS, AIMBE, SPIE, Optica.

  • TEES Research Impact Award (2023).

Publications 📜

1. Highly Sensitive, Low‐Cost Deep‐UV Resonant Raman Microspectroscopy Systems

  • Authors: Joseph Harrington, Vsevolod Cheburkanov, Mykyta Kizilov, Ilya Kulagin, Georgi I. Petrov, Vladislav V. Yakovlev

  • Publication Year: 2025

  • Journal: Chemistry–Methods

  • DOI: 10.1002/cmtd.202500006

2. Dynamics of CH/n Hydrogen Bond Networks Probed by Time-Resolved CARS Spectroscopy

  • Authors: Hanlin Zhu, Xinyu Deng, Vladislav V. Yakovlev, Delong Zhang

  • Publication Year: 2024

  • Journal: Chemical Science

  • DOI: 10.1039/D4SC03985H

3. Hyper-Raman Spectroscopy of Biomolecules

  • Authors: Christopher B. Marble, Kassie S. Marble, Ethan B. Keene, Georgi I. Petrov, Vladislav V. Yakovlev

  • Publication Year: 2024

  • Journal: The Analyst

  • DOI: 10.1039/D3AN00641G

4. Studying Quasi-Parametric Amplifications: From Multiple PT-Symmetric Phase Transitions to Non-Hermitian Sensing

  • Authors: Xiaoxiong Wu, Kai Bai, Penghong Yu, Zhaohui Dong, Yanyan He, Jingui Ma, Vladislav V. Yakovlev, Meng Xiao, Xianfeng Chen, Luqi Yuan

  • Publication Year: 2024

  • Journal: ACS Photonics

  • DOI: 10.1021/acsphotonics.4c01071

5. Harnessing Quantum Light for Microscopic Biomechanical Imaging of Cells and Tissues

  • Authors: Tian Li, Vsevolod Cheburkanov, Vladislav V. Yakovlev, Girish S. Agarwal, Marlan O. Scully

  • Publication Year: 2024

  • Journal: Proceedings of the National Academy of Sciences

  • DOI: 10.1073/pnas.2413938121

6. Pixel-Level Classification of Pigmented Skin Cancer Lesions Using Multispectral Autofluorescence Lifetime Dermoscopy Imaging

  • Authors: Priyanka Vasanthakumari, Renan A. Romano, Ramon G. T. Rosa, Ana G. Salvio, Vladislav Yakovlev, Cristina Kurachi, Jason M. Hirshburg, Javier A. Jo

  • Publication Year: 2024

  • Journal: Biomedical Optics Express

  • DOI: 10.1364/BOE.523831

7. A Novel Non‐Destructive Rapid Tool for Estimating Amino Acid Composition and Secondary Structures of Proteins in Solution

  • Authors: Narangerel Altangerel, Benjamin W. Neuman, Philip R. Hemmer, Vladislav V. Yakovlev, Alexei V. Sokolov, Marlan O. Scully

  • Publication Year: 2024

  • Journal: Small Methods

  • DOI: 10.1002/smtd.202301191

8. Brillouin Microscopy Monitors Rapid Responses in Subcellular Compartments

  • Authors: Zachary N. Coker, Maria Troyanova-Wood, Zachary A. Steelman, Bennett L. Ibey, Joel N. Bixler, Marlan O. Scully, Vladislav V. Yakovlev

  • Publication Year: 2024

  • Journal: PhotoniX

  • DOI: 10.1186/s43074-024-00123-w

9. Photodynamic Treatment of Malignant Melanoma with Structured Light: In Silico Monte Carlo Modeling

  • Authors: Alexander Doronin, Vladislav V. Yakovlev, Vanderlei S. Bagnato

  • Publication Year: 2024

  • Journal: Biomedical Optics Express

  • DOI: 10.1364/BOE.515962

10. Time-Resolved Vibrational Dynamics: Novel Opportunities for Sensing and Imaging

  • Authors: Hanlin Zhu, Bo Chen, Vladislav V. Yakovlev, Delong Zhang

  • Publication Year: 2024

  • Journal: Talanta

  • DOI: 10.1016/j.talanta.2023.125046

Conclusion 🌟

Dr. Yakovlev’s pioneering work in biophotonics and quantum imaging has advanced biomedical diagnostics and high-speed optical technologies. His leadership in mentoring 29+ Ph.D. students and securing competitive grants (e.g., NIH, NSF, DOD) underscores his impact. His interdisciplinary approach continues to push boundaries in optical sensing and AI-driven spectroscopy.

Miqdad Hussain | Engineering | Best Researcher Award

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Mr. Miqdad Hussain | Engineering | Best Researcher Award

University of Shanghai for Science and Technology | Pakistan

Miqdad Hussain is a dedicated structural engineer with a keen interest in numerical simulation and the optimization of masonry and concrete structures. Currently based in Shanghai, China, he is pursuing a Master’s degree in Civil Engineering at the University of Shanghai for Science and Technology (USST). With strong technical skills, multilingual proficiency, and hands-on experience in both academia and industry, Miqdad aims to contribute to cutting-edge research in structural health monitoring and retrofitting.

Professional profile👤

Google Scholar

ORCID

Strengths for the Awards✨

  • Strong Academic Foundation & Research Focus:

    • Miqdad is pursuing a Master’s in Civil Engineering with a solid CGPA of 3.6/4 from a reputable Chinese university (USST).

    • His research focus on numerical simulation, UHPC (Ultra High-Performance Concrete), and structural optimization reflects current trends and demands in structural engineering.

  • Published Research Output:

    • He has already published in reputable journals such as IJRES and has an accepted paper in the UCAS Indexed Journal of Umm Al-Qura University.

    • Topics are diverse and impactful, including masonry wall performance, material behavior at elevated temperatures, and fiber modeling using Python.

  • Technical Proficiency:

    • Proficient in industry-standard tools such as SAP2000, ETABS, STAAD.Pro, AutoCAD, and ABAQUS.

    • He demonstrates multi-language programming ability (Python, Maple) and technical writing skills—crucial for research dissemination.

  • Scholarships and Awards:

    • Recipient of the SGS Full Scholarship and Academic Excellence Award—showcasing academic merit and competitiveness.

  • Teaching and Leadership:

    • He has taught at school level, indicating communication and mentorship ability.

    • Participation in international conferences in both Pakistan and China reflects global exposure and research communication skills.

🎓 Education

Miqdad holds a Bachelor’s degree in Civil Engineering from Iqra National University, Peshawar, Pakistan (2015–2019), where he focused on fatigue behavior in reinforced concrete. He is now completing his Master’s in Civil Engineering at USST, China (Expected June 2025), with a CGPA of 3.6/4. His thesis involves Numerical Simulation to Investigate the Performance of Existing Masonry Walls Strengthened by Ultra High-Performance Concrete (UHPC) Layer. His academic portfolio includes rigorous coursework in nonlinear analysis, FEM, and advanced concrete/steel structures.

🧠 Experience

Miqdad’s experience spans academia, research, and fieldwork. As a Graduate Researcher at USST (2022–Present), he led simulation-based investigations into UHPC-strengthened masonry. Earlier, he worked as a Site Engineer for contractors in Pakistan, gaining practical insight into construction. Additionally, he served as a Lecturer in Math & Physics, demonstrating leadership in education. His blend of field experience and research makes him well-rounded in structural engineering.

🔬 Research Interest On Engineering

Miqdad’s research interests lie in structural health monitoring, retrofitting techniques, numerical modeling, and sustainable building materials. He is particularly focused on how ultra-high-performance concrete can enhance the strength and durability of aging or unreinforced masonry walls. His work emphasizes performance optimization and fire resistance analysis under elevated temperatures. 🔎🧪

🏅 Awards & Honors

Miqdad has received several accolades, including the prestigious SGS Full Scholarship for his Master’s program at USST (2022–2025). He also earned First Position in Intermediate Studies and the Academic Excellence Award at USST in 2024. His academic and research achievements reflect his commitment to excellence and innovation in civil engineering. 🏆🎖️

📚 Publications

  1. Miqdad Hussain, Bin Peng. “Simulating Influence of Different Mortar types on Performance of Masonry Wall” International Journal of Research in Engineering and Science (IJRES), Vol. 12(05), 2024, pp. 303–315.
    📝 Cited by 3 articles

  2. Xiakun Lin, Surendra Kumar Mahato, Miqdad Hussain. “Enhancing Teaching of Robotics through Computational Modelling” IJRES, Vol. 12(06), 2014, pp. 16–20.
    📝 Cited by 4 articles

  3. Miqdad Hussain, Bin Peng. “Numerical Simulation to Investigate the Performance of Existing Masonry Walls Strengthened by Ultra High-Performance Concrete (UHPC) Layer.” Journal of Umm Al-Qura University for Engineering and Architecture (Accepted, UCAS Indexed).
    📝 Cited by: In review

  4. Upcoming: “Parametric Study of UHPC as a Strengthening Material for Unreinforced Masonry Walls using Detailed Micro-Modeling Approach.” (Ready for Submission)
    📝 Expected to submit in Q2 2025

🔚 Conclusion

Miqdad Hussain is a motivated and talented structural engineer whose blend of technical expertise, research acumen, and cross-cultural experience equips him for advanced studies and impactful innovation. With a vision to strengthen global infrastructure through smart materials and simulations, Miqdad is well-positioned to contribute to structural resilience in the face of modern engineering challenges.

Muhammad Muteeb Butt | Engineering | Best Researcher Award

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Mr. Muhammad Muteeb Butt | Engineering | Best Researcher Award

Istanbul Technical University | Turkey

Muhammad Muteeb Butt is a dynamic research engineer based in Ankara, Turkey, with a strong academic and industrial background in materials science, additive manufacturing (AM), and failure analysis. Currently contributing to cutting-edge research at Gazi University’s Additive Manufacturing Technologies Application and Research Centre, he combines advanced simulation techniques with practical engineering experience. Muteeb is a skilled professional who thrives in multidisciplinary environments, connecting microstructural analysis to fatigue life, and integrating machine learning in mechanical predictions.

Professional profile👤

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

1. Strong Research Focus and Contribution:

  • Muteeb has a clearly defined niche in Additive Manufacturing (AM), especially the fatigue behavior of AM alloys, with a broad understanding spanning corrosion, failure analysis, process parameters, and machine learning applications.

  • He has 10+ journal publications, many in reputable, peer-reviewed journals, and a growing citation count (30+ as of April 2025), demonstrating emerging impact.

  • Reviewer for multiple journals, indicating recognition by the academic community for his expertise.

2. Multidisciplinary Skillset:

  • Demonstrates proficiency in experimental work (SEM, EDS, micro-CT, DSC, mechanical testing) and simulation tools (Flow 3D, Thermo-Calc, Python, SolidWorks).

  • His experience bridges fundamental materials science, applied engineering, and industrial practices, which is rare and valuable.

3. International and Cross-Sector Experience:

  • Has worked in research labs, industry, and academia across Pakistan and Turkey, showing adaptability and a global mindset.

  • Participation and presentations in international conferences (France, Italy, Turkey) enhance his visibility and academic network.

4. Practical Impact and Leadership:

  • Led projects with direct industrial applications (failure analysis, inspections, fitness for service).

  • Experience in lab establishment, project leadership, proposal writing, and academic mentoring.

🎓 Education

📘 Master of Science in Materials Science and Engineering (2017–2020), Institute of Space Technology, Pakistan
Thesis: Development of Iron Oxides-Based Nanocomposites for Enhanced Photocatalytic Activity – Focused on ZnS QDs on iron oxide nanoparticles for improved dye degradation.
📘 Bachelor of Science in Metallurgical and Materials Engineering (2012–2016), University of Engineering and Technology, Pakistan
Thesis: Development of araldite epoxy and RHA based composites – Studied mechanical property enhancement via rice husk ash treatments.

💼 Experience

Research Engineer, Gazi University, Turkey (2022–Present)

  • Developing fatigue life prediction models using CFD and ML.

  • Investigating fatigue, corrosion, and defect morphology in AM alloys.

Lab Engineer, Pak Austria Fachhochschule, Pakistan (2021–2022)

  • Established key teaching and research labs in metallurgy and materials testing.

Project Lead Engineer, Velosi Integrity and Safety, Pakistan (2021)

  • Led failure analysis and inspection projects, contributing to industrial safety protocols.

Research Associate, Institute of Space Technology, Pakistan (2017–2020)

  • Conducted over 40 failure analysis projects and reverse engineering evaluations.

🔬 Research Interests On Engineering

  • Additive Manufacturing: Process-property-performance relationships

  • Fatigue Behavior: Defect mapping, prediction models, microstructure analysis

  • Failure Analysis: Fractography, corrosion, and in-situ metallurgy

  • Machine Learning in Materials Engineering

  • Photocatalytic Nanomaterials for Environmental Applications

🏆 Awards & Certifications

  • 🎓 Partial Scholarship for Master’s Degree (2017–2020)

  • 🧪 CSWIP 3.1 Certified Welding Inspector (2016)

📚 Publications

  1. Title: Conjunction of macroporosity and NH4F treatment for improved performance of TiO2 photoanode in quantum-dot sensitized solar cells
    Authors: MA Basit, MM Butt, M Nazir, MN Ashiq
    Year: 2019
    Citations: 15

  2. Title: Outlining the beneficial photocatalytic effect of ZnS deposition in simplistically developed iron oxide nanocomposites of different stoichiometry
    Authors: MM Butt, TF Khan, M Muhyuddin, MA Akram, MZ Ansar, MA Basit, S Butt
    Year: 2021
    Citations: 6

  3. Title: Corrosion in laser powder bed fusion AlSi10Mg alloy
    Authors: H Laieghi, V Kvvssn, MM Butt, P Ansari, MU Salamci, AE Patterson, …
    Year: 2024
    Citations: 3

  4. Title: Fatigue performance in additively manufactured metal alloys
    Authors: MM Butt, H Laieghi, V Kvvssn, Z Uddin, M Shah, P Ansari, MU Salamci, …
    Year: 2024
    Citations: 3

  5. Title: Failure analysis of a furnace tube support
    Authors: A Jelani, MM Butt, OU Rauf
    Year: 2024
    Citations: 2

  6. Title: Understanding the Effects of Manufacturing Attributes on Damage Tolerance of Additively Manufactured Parts and Exploring Synergy Among Process‐Structure‐Properties. A …
    Authors: Z Uddin, MM Butt, V Kvvssn, MU Salamci, H Kizil
    Year: 2024
    Citations: 1

  7. Title: Recent progress in additive manufacturing of 7XXX aluminum alloys
    Authors: V Kvvssn, MM Butt, H Laieghi, Z Uddin, E Salamci, DB Kim, H Kizil
    Year: 2025

  8. Title: Data driven-based machine learning modelling and empirical correlations for predicting snow-covered area in the Swat Region, Pakistan
    Authors: S Rashid, A Mustafa, A Iqbal, MU Farooq, MM Butt, M Naeem
    Year: 2025

  9. Title: Tempered martensite embrittlement of an alloy steel forging from an automobile vehicle system
    Authors: MK Mehran, MM Butt, A Wakeel
    Year: 2023

🧾 Conclusion

Muhammad Muteeb Butt exemplifies innovation in engineering research, merging academic depth with practical insight. His accomplishments in fatigue behavior, additive manufacturing, and nanomaterials research—supported by a growing citation record and active reviewer roles—underscore his potential as a leader in materials science. With international exposure and technical finesse, he is a strong candidate for any research-based recognition or award. 🌍

Kennedy Chibuzor Onyelowe | Engineering | Outstanding Scientist Award

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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.

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 📖

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 🔗

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

Published on by Forensic Scientist

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.