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.

Shushen Ye | Engineering | Best Researcher Award

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Mr. Shushen Ye | Engineering | Best Researcher Award

Huaqiao University – Xiamen Campus | China

Shushen Ye is a dedicated graduate student at the College of Civil Engineering, Huaqiao University, China. His academic journey reflects a focused pursuit of excellence in structural engineering, especially in the realm of vibration control. His research delves into nonlinear stochastic vibration mechanisms in high-pier structures, aiming to innovate solutions for real-world infrastructure challenges. With a strong foundation in hydraulic engineering and a keen interest in structural dynamics, Shushen Ye is poised to contribute significantly to the civil engineering research community.

Professional profile👤

ORCID

Strengths for the Awards✨

  1. Focused Research Topic: Shushen Ye is conducting research on a niche and highly relevant area—random vibration analysis and control of high-pier structures. This field has significant implications for structural safety in civil engineering, particularly in seismic and wind-prone areas.

  2. Publication in a Reputed Journal: He has successfully published a research article in the International Journal of Dynamics and Control (Springer), which is indexed and recognized in engineering fields. The publication demonstrates originality by proposing an innovative Nonlinear Energy Sink Inerter (NESI) that reduces mass requirements—an advancement over traditional vibration mitigation techniques.

  3. Clear Technical Contribution: The research contributes to solving a known engineering problem (mass inefficiency in NES) and offers potential for real-world application in structural design.

Areas for Improvement

  1. Limited Research Output: Currently, there is only one publication listed, and no record of other ongoing/completed projects, industry collaborations, or patents. This limits the evidence of sustained research productivity.

  2. Citation Metrics and Visibility: There are no details on citation indices, h-index, or broader academic reach (e.g., Google Scholar or ResearchGate profile). Building these would strengthen the nomination.

  3. Lack of Academic Engagement: There is no information on editorial roles, professional memberships, or collaborations. These are typically considered markers of engagement and recognition in the research community.

🎓 Education

Shushen Ye is currently pursuing a Master’s degree in Civil Engineering (Hydraulic Engineering) at Huaqiao University, Fujian, China, with expected graduation in 2025. His academic coursework and research training are rooted in structural analysis, dynamic response modeling, and advanced control methods for civil infrastructure.

👨‍🎓 Experience

As a graduate student, Shushen Ye has immersed himself in advanced research on the random vibration analysis and vibration control of high-pier structures. Although he has not yet been formally employed in consultancy or industry projects, his graduate work showcases a practical understanding of nonlinear energy control systems and provides significant insights into modern structural engineering problems.

🔬 Research Interest On Engineering

Shushen Ye’s primary research interests include Structural Nonlinear Stochastic Vibration and Control, particularly applied to high-pier bridge structures. His work emphasizes developing and analyzing novel energy dissipation systems, such as the Nonlinear Energy Sink Inerter (NESI), which demonstrates promise in enhancing vibration suppression with reduced mass requirements compared to traditional systems.

🏅 Award

Shushen Ye is nominated for the Best Researcher Award in recognition of his novel contribution to vibration control strategies in civil engineering. His work on the NESI system introduces a significant improvement in structural safety, marking an impactful beginning to his research career. This nomination underscores his potential to be a future leader in the field of structural dynamics and earthquake engineering.

📚 Publication

Shushen Ye has authored a research article in the International Journal of Dynamics and Control (Springer, 2025), titled “Vibration suppression of high-pier structures using NESI: A nonlinear approach”. This paper explores an innovative approach using the Nonlinear Energy Sink Inerter (NESI) and its effectiveness in controlling lateral vibrations of tall structures.
🔗 Read the full article here
📌 Cited by: The paper is newly published and is yet to accumulate citations, but its relevance to earthquake-resistant design makes it a valuable future reference.

🧩 Conclusion

Shushen Ye stands out as a young, enthusiastic researcher whose innovative contributions to structural vibration control are commendable. His dedication to solving complex civil engineering challenges through analytical modeling and energy-efficient systems highlights his commitment to sustainable infrastructure development. This award nomination is a testament to his academic promise and emerging impact in the field.

Ioannis Manariotis | Engineering | Best Researcher Award

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Prof. Dr. Ioannis Manariotis | Engineering | Best Researcher Award

University of Patras / Department of Civil Engineering | Greece

Prof. Dr. Ioannis Manariotis is a Professor of Environmental Engineering at the University of Patras, Greece. With expertise in wastewater treatment, resource recovery, and microalgae biotechnology, he focuses on sustainable solutions for water pollution and energy production. His work bridges engineering, environmental science, and circular economy principles.

Professional profile👤

ORCID

Google Scholar

Scopus

Strengths for the Awards✨

  1. Outstanding Research Output

    • Extensive Publications: Over 85 peer-reviewed journal articles (including high-impact journals like Water Research, Chemical Engineering Journal, Journal of Hazardous Materials).

    • Interdisciplinary Impact: Research spans wastewater treatment, microalgae biofuels, biochar applications, nanoparticle toxicity, and advanced oxidation processes.

    • High Citations & Collaborations: Works with international experts and contributes to cutting-edge topics like biochar-based electrocatalysts for Zn-air batteries and CO₂ sequestration.

  2. Leadership in Research & Innovation

    • Principal Investigator (PI) of multiple funded projects (e.g., EU/EEA Grants, national programs like “BLUE-GREENWAY” and “BioNFate”).

    • Special Issue Editor (Journal of Chemical Technology and Biotechnology) and Associate Editor for Biotechnology for Biofuels and Bioproducts and Frontiers in Water.

  3. Academic & Professional Recognition

    • Full Professor at the University of Patras with a 30+ year career in research and teaching.

    • Supervised 10+ Ph.D. students and 30+ Master’s theses, demonstrating mentorship excellence.

    • Reviewer for 40+ prestigious journals (Water Research, Science of the Total Environment) and evaluator for international research proposals (e.g., Hellenic Foundation for Research).

  4. Technological & Environmental Impact

    • Focus on sustainable solutions:

      • Biochar for water purification and energy storage.

      • Microalgae-based wastewater treatment and biofuel production.

      • Novel sorbents for contaminant removal (e.g., Hg, phenanthrene).

    • Work aligns with UN Sustainable Development Goals (SDG 6: Clean Water, SDG 7: Affordable Energy).

Education 🎓

  • Ph.D. in Civil Engineering (2000), University of Patras, Greece.

  • Diploma in Civil Engineering (1990), University of Patras, Greece.

Experience 💼

  • Professor (2023–Present), Associate Professor (2019–2023), University of Patras.

  • Environmental Engineer (2001–2009), Region of Western Greece (water resources management).

  • Research/Teaching Roles (1991–2019): Lecturer, Assistant Professor, and Research Associate at the University of Patras.

Research Interests On Engineering 🔬

  • Phototrophic wastewater treatment (microalgae, biofilms, biofuels).

  • Resource recovery from wastewater (nutrients, energy).

  • Nanoparticle toxicity on microalgae.

  • Advanced oxidation processes and CO₂ sequestration via biochar.

Awards & Fellowships 🏆

  • Graduate Scholarship, Them. & Nik. Valsamakis Foundation (1991–1992).

  • Predoctoral Fellowship, University of Patras (1992–1998).

  • Technical Chamber of Greece Award (1989–1990).

Publications 📚

1. Removal of caffeine, nicotine and amoxicillin from (waste) waters by various adsorbents. A review
Authors: I Anastopoulos, I Pashalidis, AG Orfanos, ID Manariotis, T Tatarchuk, …
Year: 2020
Citations: 273

2. Degradation of antibiotic sulfamethoxazole by biochar-activated persulfate
Authors: L Kemmou, Z Frontistis, J Vakros, ID Manariotis, D Mantzavinos
Year: 2018
Citations: 187

3. Selection of microalgae for wastewater treatment and potential lipids production
Authors: AF Aravantinou, MA Theodorakopoulos, ID Manariotis
Year: 2013
Citations: 178

4. Degradation of PAHs by high frequency ultrasound
Authors: ID Manariotis, HK Karapanagioti, CV Chrysikopoulos
Year: 2011
Citations: 122

5. Low‐strength wastewater treatment using an anaerobic baffled reactor
Authors: ID Manariotis, SG Grigoropoulos
Year: 2002
Citations: 121

6. Effect of cultivation media on the toxicity of ZnO nanoparticles to freshwater and marine microalgae
Authors: AF Aravantinou, V Tsarpali, S Dailianis, ID Manariotis
Year: 2015
Citations: 111

7. Removal of mercury from aqueous solutions by malt spent rootlets
Authors: VA Anagnostopoulos, ID Manariotis, HK Karapanagioti, …
Year: 2012
Citations: 99

8. Organic and nitrogen removal in a two-stage rotating biological contactor treating municipal wastewater
Authors: DN Hiras, ID Manariotis, SG Grigoropoulos
Year: 2004
Citations: 93

9. Aqueous mercury sorption by biochar from malt spent rootlets
Authors: LG Boutsika, HK Karapanagioti, ID Manariotis
Year: 2014
Citations: 83

10. Preparation and characterization of biochar sorbents produced from malt spent rootlets
Authors: ID Manariotis, KN Fotopoulou, HK Karapanagioti
Year: 2015
Citations: 79

11. Activation of persulfate by biochars from valorized olive stones for the degradation of sulfamethoxazole
Authors: E Magioglou, Z Frontistis, J Vakros, ID Manariotis, D Mantzavinos
Year: 2019
Citations: 73

Conclusion 🌍

🌍 Impact: Prof. Manariotis bridges engineering innovation and environmental sustainability, advancing wastewater treatment, biochar applications, and microalgae research. His work supports global goals in clean water, renewable energy, and circular economy practices.

B. Suresh Babu | Engineering | Best Researcher Award

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Dr. B. Suresh Babu | Engineering | Best Researcher Award

Sandip Institute of Technology and Research Centre | India

Dr. B. Suresh Babu is a Professor of Electrical Engineering at Sandip Institute of Technology and Research Centre, Nashik, with 25+ years of academic and research experience. He holds a Ph.D. in EEE from Anna University and specializes in power system optimization, renewable energy, and smart grids. A prolific researcher, he has authored 50+ publications, filed 8 patents, and received multiple awards for teaching and innovation.

Professional profile👤

Google Scholar

Strengths for the Awards✨

  1. Extensive Academic and Research Experience

    • Holds a Ph.D. in Electrical Engineering from Anna University and has 25+ years of teaching and research experience.

    • Currently serving as a Professor at Sandip Institute of Technology and Research Centre, Nashik.

  2. Strong Research Contributions

    • Published multiple research papers in international journals (IEEE, Springer, Elsevier, IOP, etc.) and presented at national and international conferences.

    • Authored book chapters and books on topics like Power Quality Engineering and Flexible AC Transmission Systems.

    • Research focuses on Power System Optimization, Renewable Energy Integration, Smart Grids, and AI applications in Electrical Engineering.

  3. Patents and Innovations

    • Filed multiple patents, including:

      • “Crop Health Monitoring System using IoT and Machine Learning” (Australia)

      • “AI-based Cooling System for Energy Efficiency” (Australia)

      • “Machine Learning-Based Power Quality Enhancement System” (India)

    • Demonstrates strong innovation and practical application of research.

  4. Workshops, FDPs, and Training Programs

    • Attended and organized numerous Faculty Development Programs (FDPs), workshops, and webinars on emerging technologies like AI, IoT, Electric Vehicles, and Renewable Energy.

    • Completed hundreds of online courses (Coursera, Great Learning, etc.) in Machine Learning, Data Science, Cloud Computing, and Power Systems.

  5. Professional Memberships & Awards

    • Life Member of prestigious bodies like ISTE, IEI, IAENG, and The Institution of Green Engineers.

    • Received multiple awards, including:

      • InSc Best Teacher Award (2021)

      • SIPH Academic Excellence Award (2023)

      • NRA Best Innovative Teacher Award (2023)

Education 🎓

  • Ph.D. in EEE, Anna University, Chennai (2016)

  • M.E. in Power Systems, Annamalai University (2001, First Class)

  • B.E. in EEE, Bharathiar University (1998, First Class)

Experience 💼

  • Professor, Sandip Institute of Technology (2023–Present)

  • Professor, Shri Vishnu Engineering College for Women (2018–2023)

  • HOD & Professor, Odaiyappa College of Engineering (2002–2017)

  • Lecturer, Bharath Niketan Engineering College (1998–1999)

Research Interests On Engineering 🔍

  • Power System Optimization

  • Renewable Energy Integration

  • FACTS Devices

  • AI/ML in Smart Grids

  • Electric Vehicle Technologies

Awards & Honors 🏆

  • InSc Best Teacher Award (2021)

  • SIPH Academic Excellence Award (2023)

  • NRA Innovative Teacher Award (2023)

  • 8 Patents (e.g., AI-based Cooling System, Solar Panel Monitoring Device)

Publications 📜

1. Title: Economic impacts and reliability evaluation of battery by adopting Electric Vehicle
Authors: BS Babu, J Kamalakannan, N Meenatchi, S Karthik, S Boopathi
Year: 2022
Citations: 101

2.Title: Teaching learning based algorithm for OPF with DC link placement problem
Authors: BS Babu, S Palaniswami
Year: 2015
Citations: 14

3.Title: TLBO based Power System Optimization for AC/DC Hybrid Systems
Authors: BS Babu
Year: 2021
Citations: 5

4.Title: Adaptive firefly algorithm based OPF for AC/DC systems
Authors: BS Babu, S Palaniswami
Year: 2016
Citations: 4

5.Title: Adaptive dragonfly optimization based placement of capacitor banks for voltage stability enhancement in distribution networks
Authors: BS Babu
Year: 2021
Citations: 3

6.Title: Real Power Loss Minimization of AC/DC Hybrid Systems with Reactive Power Compensation by using Self Adaptive Firefly Algorithm
Authors: DBS Babu
Year: 2020
Citations: 3

7.Title: Reducing Power Losses in Power System by Using Self Adaptive Firefly Algorithm
Authors: DBS Babu
Year: 2013
Citations: 3

8.Title: Reducing Power Losses in Power System by using by Self Adaptive Firefly Algorithm (LNCS)
Authors: DBS Babu
Year: 2013
Citations: 3

9.Title: Reducing Power Losses in Power System by using by Self Adaptive Firefly Algorithm (Conference)
Authors: DBS Babu
Year: 2013
Citations: 3

10.Title: Power Conversion in PMSG Wind Energy Conversion Systems using Trans Z Source Inverter
Authors: A Radhika, G Thenmozhi, BS Babu, V Vidhya
Year: 2021
Citations: 2

Conclusion 🌟

Dr. Suresh Babu is a visionary educator and researcher, blending AI, renewable energy, and power systems to address modern engineering challenges. His contributions span patents, books, and high-impact publications, cementing his legacy in advancing sustainable energy solutions.

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. 🌍

Jingting Liu | Engineering | Best Researcher Award

Posted on by Forensic Scientist

Assoc. Prof. Dr. Jingting Liu | Engineering | Best Researcher Award

Shandong University | China

Dr. Jingting Liu is an Associate Professor in the Process Equipment and Control Engineering Department at Shandong University. She holds a Ph.D. in Chemical Process Machinery from Zhejiang University and a B.S. in Process Equipment and Control Engineering from China University of Petroleum. Her work focuses on fluid dynamics, vibration, and acoustics, with a particular interest in bubble dynamics.

Professional profile👤

Scopus

Strengths for the Awards✨

  • Research Excellence: Jingting Liu has led multiple research projects, notably funded by prestigious institutions like the National Natural Science Foundation of China and various provincial foundations, highlighting her capacity to secure competitive funding.

  • Publication Record: She has published extensively in high-impact journals, including the Chemical Engineering Journal and Physics of Fluids, showcasing the significance and quality of her research.

  • Innovative Contributions: Her focus on bubble dynamics and acoustics has practical applications in fluid machinery and noise reduction, demonstrating innovation and relevance to real-world challenges.

  • Interdisciplinary Impact: Her work integrates fluid dynamics, vibration, and acoustics, broadening the impact across multiple fields.

  • Leadership and Mentorship: As an associate professor, she not only contributes to research but also teaches and mentors students, nurturing the next generation of researchers.

  • Editorial Roles: Serving as a guest editor reflects her recognition and trust within the scientific community.

Education 🎓

  • Ph.D. in Chemical Process Machinery, Zhejiang University
  • B.S. in Process Equipment and Control Engineering, China University of Petroleum

Experience 💼

Jingting Liu has been serving as an Associate Professor at Shandong University, where she teaches courses in fluid mechanics and fluid machinery. She has led multiple research projects, delving into underwater bubble dynamics and acoustic phenomena. Her contributions extend to both academia and industry, where she provides solutions to reduce noise in fluid machinery.

Research Interests On Engineering🔬

Her primary research interests include fluid machinery, vibration and acoustics, bubble dynamics, and bubble acoustics. She explores the intricate mechanisms behind bubble formation and acoustic emissions, aiming to improve fluid machinery performance and noise reduction.

Awards 🏆

  • Best Researcher Award (Nomination)

Publications 📖

  • Title: Dynamics of bubbles detached from non-circular orifices: Confinement effect of orifice boundary
    Authors: Jingting Liu*, Haoyang Qi, Yongxing Song, Songying Chen, Dazhuan Wu
    Year: 2024

  • Title: Experimental study on asymmetric bubbles rising in water: Morphology and acoustic signature
    Authors: Jingting Liu*, Shanhao Cong, Yongxing Song, Dazhuan Wu, Songying Chen
    Year: 2022

  • Title: Flow structure and acoustics of underwater imperfectly expanded supersonic gas jets
    Authors: Jingting Liu*, Shanhao Cong, Yongxing Song, Songying Chen, Dazhuan Wu
    Year: 2022

  • Title: Numerical simulations and experimental validation on passive acoustic emissions during bubble formation
    Authors: Jingting Liu, Wu Wang, Ning Chu, Dazhuan Wu, Weiwei Xu
    Year: 2018
    Citations: DOI: 10.1016/j.apacoust.2017.09.005

  • Title: Numerical simulations of bubble formation and acoustic characteristics from a submerged orifice: The effects of nozzle wall configurations
    Authors: Jingting Liu, Ning Chu, Shijie Qin, Dazhuan Wu
    Year: 2017
    Citations: DOI: 10.1016/j.cherd.2017.05.002

  • Title: Acoustic analysis on jet-bubble formation based on 3D numerical simulations
    Authors: Liu Jingting, Chu Ning, Qin Shijie, Wu Dazhuan
    Year: 2016
    Citations: INTER-NOISE 2016 – 45th International Congress and Exposition on Noise Control Engineering

  • Title: Acoustic emission measurement of submerged jet-bubble: Laboratory and computational fluid dynamics (CFD)
    Authors: Liu Jingting, Qin Shijie, Ning Chu, Wu Dazhuan
    Year: 2016

  • Title: Three-dimensional numerical simulation of air exhausted from submerged nozzles
    Authors: Liu Jingting, Qin Shijie, Miao Tiancheng, et al.
    Year: 2015

Conclusion 🔝

Jingting Liu has significantly contributed to understanding fluid dynamics and acoustics, with a special focus on bubble dynamics and noise reduction in fluid machinery. Her research not only advances academic knowledge but also provides practical solutions for industrial applications. She continues to inspire the next generation of engineers through her teaching and groundbreaking research.

Kennedy Chibuzor Onyelowe | Engineering | Outstanding Scientist Award

Posted on by Forensic Scientist

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

Posted 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.