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.

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.

Jingting Liu | Engineering | Best Researcher Award

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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

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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.

Suganya | Engineering | Best Researcher Award

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Dr. Suganya | Engineering | Best Researcher Award

Assistant Professor | SRM Institute of Science and Technology | India

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

Professional profile👤

Google Scholar

Strengths for the Awards✨

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

🎓 Education

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

💼 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.