Kirubakaran Annamalai | Engineering | Research Excellence Award

Dr. Kirubakaran Annamalai | Engineering | Research Excellence Award

National Institute of Technology Warangal | India

Dr. Kirubakaran Annamalai, Associate Professor at the Department of Electrical Engineering, National Institute of Technology, Warangal, is a distinguished researcher in Power Electronics, Renewable Energy Systems, and Distributed Generation, with a primary focus on the design, analysis, and implementation of multilevel inverters, DC-DC and DC-AC converters, grid-tied photovoltaic systems, and power quality improvement techniques. He has made significant contributions to quasi-Z-source and switched-capacitor-based inverter topologies, emphasizing high efficiency, reduced device counts, leakage current minimization, and real-time control using DSP, FPGA, and dSPACE platforms. Dr. Kirubakaran Annamalai has published 70 peer-reviewed articles, accumulating 1,563 citations with an h-index of 14 (Scopus), in top international journals such as IEEE Transactions on Power Electronics, IEEE Journal of Emerging and Selected Topics in Power Electronics, and Springer’s Journal of Electrical Engineering, and has presented extensively at IEEE and global conferences. He has authored multiple book chapters on advanced power electronics for solar PV and hybrid renewable systems, demonstrating his expertise in sustainable energy technologies. He has successfully led and collaborated on research projects funded by SERB, DST-FIST, SPARC, and SIRE, with budgets ranging from Rs. 2.8 Lakhs to over Rs. 94 Lakhs, focusing on innovative converter designs, smart grid laboratories, and electric vehicle applications, and holds patents on transformer less multilevel inverters. Dr. Kirubakaran Annamalai has supervised numerous Ph.D. and M.Tech scholars, advancing frontier research in power electronics. Recognized for his research excellence through the SIRE Fellowship 2023, multiple IEEE Best Paper Awards, editorial contributions, conference chairing, and active membership in IEEE, ISTE, and other professional bodies, he continues to drive innovation in inverter topologies, grid integration strategies, and renewable energy systems, making a lasting impact on modern power conversion technologies.

Profiles: Scopus | Google Scholar | ORCID | ResearchGate | LinkedIn

Featured Publications

  • Palakurthi, R., & Kirubakaran, A. (2025). DSP controlled single-phase two-stage five-level inverter for high-efficiency grid-connected photovoltaic systems. Electrical Engineering, 108(1).

  • Palakurthi, R., & Kirubakaran, A. (2025). Rapid prototyping of FPGA controlled common ground single-phase transformerless five-level inverter using Xilinx System Generator. IEEE Latin America Transactions, 23(7), 609–618.

  • Kalyan Singh, K., & Kirubakaran, A. (2025). Single-phase five-level common ground transformerless switched capacitor inverters for PV applications with double gain. In 2025 Fourth International Conference on Power, Control and Computing Technologies (ICPC2T).

  • Barzegarkhoo, R., Kirubakaran, A., Pereira, T., Liserre, M., & Siwakoti, Y. P. (2024). Improved T-type and ANPC multilevel converters by means of GaN-based T-cell branch and bidirectional device. In IECON 2024 – 50th Annual Conference of the IEEE Industrial Electronics Society.

  • Kirubakaran, A., Barzegarkhoo, R., & Liserre, M. (2024). A new single-phase dual-mode active neutral point-clamped five-level inverter for renewable applications. In 2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T).

Jinguo Han | Engineering | Best Researcher Award

Assoc. Prof. Dr. Jinguo Han | Engineering | Best Researcher Award

Shandong University of Technology | China

Dr. Jinguo Han is a distinguished Associate Professor at the School of Mechanical Engineering, Shandong University of Technology. He has built a prolific career in mechanical and mechatronic engineering, with extensive contributions to advanced materials processing, surface modification, and high-precision manufacturing. His innovative research bridges academia and industry, providing impactful solutions in aerospace, automotive, and biomedical fields.

Professional profile👤

Scopus

ORCID

Strengths for the Awards✨

Dr. Jinguo Han stands out as a pioneering researcher in the field of advanced materials processing and ultra-precision manufacturing. With a Ph.D. in Mechanical Engineering and a rapid academic progression to Associate Professor at Shandong University of Technology, his career demonstrates an impressive blend of theoretical rigor and technological innovation. His interdisciplinary research—ranging from ultrasonic rolling, laser-assisted machining, to multi-dimensional vibration-assisted processing—has direct applications in aerospace, biomedical, and automotive industries, reflecting real-world impact.

Dr. Han has authored more than 10 high-impact publications in leading journals like IEEE Transactions on Industrial Electronics, Materials & Design, and Micromachines. Notably, several of these are first-author or corresponding-author papers, reflecting his independent leadership in research. His work is not only academically relevant but also highly applied, evidenced by eight national patents and consistent grant acquisition, including funding from NSFC and provincial bodies.

🎓 Education

Dr. Han earned his Ph.D. in Mechanical Engineering from Changchun University of Technology (2015–2018), preceded by a Master’s in Mechatronic Engineering from the same institution (2012–2015). His academic journey began with a Bachelor’s in Mechatronic Engineering at Heze University (2008–2012). His education laid a solid foundation for multidisciplinary research across engineering and material sciences. 🎓

💼 Experience

Since July 2023, Dr. Han serves as an Associate Professor at Shandong University of Technology. Prior to this, he was a Lecturer at the same institution (2018–2023). His academic leadership is evident through successful mentorships, extensive project coordination, and laboratory development in manufacturing processes and simulation.

🔬 Research Interests On Engineering

Dr. Han’s research revolves around ultra-precision machining, nanomachining, laser-assisted processes, and microstructure formation. He explores cutting of hard and brittle materials, vibration-assisted technologies, surface integrity, materials characterization, and innovative tool design. His work consistently pushes the boundaries of micro-manufacturing, benefiting cutting-edge industrial applications. 🛠️

🏆 Awards and Grants

Dr. Han has secured prestigious national and provincial-level research grants, including from the National Natural Science Foundation of China, Shandong Provincial Department of Education, and the China Postdoctoral Science Foundation. These honors underscore his leadership in low-damage machining, vibration modulation, and laser-elliptical cutting.

📚 Publications

Dr. Han has published numerous impactful articles in peer-reviewed journals. Here are selected works:

  1. Finite element investigation on shear deformation and cutting force for elliptical vibration cutting Ti6Al4V alloyThe International Journal of Advanced Manufacturing Technology, 2025 (Cited by 10+)

  2. Molecular dynamics simulation of material removal in monocrystalline siliconJournal of Mechanical Science and Technology, 2025 (Cited by 5+)

  3. Multi-objective design of a tri-axial servo cutting systemJournal of Manufacturing Processes, 2022, 84:1133–1149 (Cited by 22)

  4. Hierarchical micro/nano structures via piezoelectric systemMaterials & Design, 2022, 224 (Cited by 35)

  5. Investigation of cutting force in 3D elliptical vibrationMicromachines, 2022, 13(8) (Cited by 18)

  6. Development of grinding tool with flexible compositeMaterials and Manufacturing Processes, 2020, 36(4): 479–487 (Cited by 16)

  7. Optimization of elliptical vibration-assisted cutting systemIEEE Transactions on Industrial Electronics, 2019, 66(2): 1151–1161 (Cited by 41)

  8. Piezoelectric tool actuator for vibration cuttingPiezoelectric Actuators, IntechOpen, 2022 (Cited by 9)

  9. Three-dimensional vibration turning deviceMicromachines, 2017, 8(10) (Cited by 13)

  10. Piezoelectric actuator for elliptical vibration turningSmart Materials and Structures, 2017, 26(8) (Cited by 19)

  11. Predictive model of cutting force in vibration cuttingInternational Journal of Mechanical Sciences, 2016, 117: 43–52 (Cited by 27)
    📖

📄 Conclusion

Dr. Jinguo Han is a visionary in mechanical and precision engineering. Through groundbreaking research, 11+ peer-reviewed articles, multiple patents, and successful projects, he exemplifies excellence in high-impact academic innovation. His work continues to shape future technologies in precision manufacturing, and his nomination for a prestigious research award is highly merited.

Suganya | Engineering | Best Researcher Award

Dr. Suganya | Engineering | Best Researcher Award

Assistant Professor | SRM Institute of Science and Technology | India

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

Professional profile👤

Google Scholar

Strengths for the Awards✨

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

🎓 Education

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

💼 Experience

  • Assistant Professor
    • Mookambigai College of Engineering, Tamil Nadu, India (June 24, 2011 – Present)
  • Lecturer
    • Idhaya College of Engineering for Women, Tamil Nadu, India (January 2, 2006 – April 15, 2007)

🔬 Research Interests On Engineering

  • Machine Learning and Deep Learning
  • Medical Image Processing
  • Ovarian Cyst Classification and Prediction
  • Artificial Intelligence in Healthcare

🏆 Awards

  • Annual Membership in ACM Professional Membership (ID: 5666897)
  • Reviewer for Journal Manuscript (Signal, Image, and Video Processing – Springer Nature) – November 8, 2024
  • Chief Superintendent for Theory Examination (Nov/Dec 2023), Anna University
  • Coordinated NBA Accreditation Work for the Computer Science Department

📝 Publications

  • Title: A diagnosis of ovarian cyst using deep learning neural network with XGBoost algorithm
    Authors: Y Suganya, S Ganesan, P Valarmathi, T Suresh
    Year: 2023
    Citations: 17

  • Title: Ultrasound ovary cyst image classification with deep learning neural network with Support vector machine
    Authors: Y Suganya, S Ganesan, P Valarmathi
    Year: 2022
    Citations: 11

  • Title: Classification of medical x-ray images for automated annotation
    Authors: S Ganesan, TS Subashini
    Year: 2014
    Citations: 10

  • Title: Novel approach of internet of things (IoT) based smart ambulance system for patient’s health monitoring
    Authors: A Bekkanti, R Aishwarya, Y Suganya, P Valarmathi, S Ganesan, …
    Year: 2021
    Citations: 7

  • Title: Classification of X-rays using statistical moments and SVM
    Authors: S Ganesan, TS Subashini, K Jayalakshmi
    Year: 2014
    Citations: 7

  • Title: An approach toward the efficient indexing and retrieval on medical X-ray images
    Authors: S Ganesan, TS Subashini
    Year: 2013
    Citations: 7

  • Title: A content based approach to medical X-Ray image retrieval using texture features
    Authors: S Ganesan, TS Subashini
    Year: 2014
    Citations: 6

  • Title: A Comparative Study on Consumer Courts in Tamil Nadu & Kerala States-A Statistical Survey Report
    Authors: BY Krishna, Y Suganya
    Year: 2011
    Citations: 5

  • Title: Fuzzy based detection and swarm based authenticated routing in MANET
    Authors: K Shanthi, T Jebarajan, P Sampath, W AMITABH, D RAMYA, …
    Year: 2014
    Citations: 3

  • Title: Comparative analysis of ovarian images classification for identification of cyst using ensemble method machine learning approach
    Authors: Y Suganya, S Ganesan, P Valarmathi
    Year: 2022
    Citations: 2

📊 Conclusion

Y. Suganya is a passionate educator and researcher who has made remarkable contributions to machine learning and medical image processing, specifically focusing on ovarian cyst classification and prediction. With a wealth of teaching experience, active participation in departmental responsibilities, and numerous research publications, she continues to inspire and shape the future of computer science students.