Mrs. Sheeba Rachel S | Machine Learning| Best Researcher Award

Assistant Professor | Sri Sai Ram Engineering College | India

S. Sheeba Rachel has contributed extensively to the fields of artificial intelligence, machine learning, deep learning, healthcare technologies, smart devices, image processing, cloud computing, and Internet of Things with publications including Cardiovascular Disease Prediction Using Machine Learning and Deep Learning, Heart Disease Prediction of an Individual Using SVM Algorithm, Automated Driving License Testing System, Real-Time Face Detection and Identification Using Machine Learning Algorithm for Improving the Security in Public Places Using Closed Circuit Television, LEARNAUT – Upgraded Learning Environment and Web Application for Autism Environment Using AR-VR, VATTEN – A Smart Water Monitoring System, Segmentation and Classification of Glaucoma Using U-Net with Deep Learning Model, EDSYS – A Smart Campus Management System, TRACKME – Smart Watch for Women, Women’s Safety with a Smart Foot Device, Mental Health Monitoring Using Sentimental Analysis, Facilitation of Multipurpose Gloves for Impaired People, Extending OVS with Deep Packet Inspection Functionalities, Courier Service Management and Tracking Using Android Application, Detecting the Abandoned Borewell Using Image Processing, Smart Hospitals E-Medico Management System, ADROIT LIMB – Brain Controlled Artificial Limb, Autonomous Movable Packrat for Habitual Chores, Postal Bag Tracking and Alerting System, Applying Social Network Aided Efficient Live Streaming System for Reducing Server Overhead, Image Fusion of MRI Images Using Discrete Wavelet Transform, Probabilistic Flooding Based File Search in Peer to Peer Network, Multi Stage for Informative Gene Selection, Mutual Information in Stages for Informative Gene Selection, Computation of Mutual Information in Stages for Gene Selection from Microarray Data, and several other impactful studies in international journals and conferences indexed in Scopus, IEEE, and UGC; she has further contributed to innovation through consultancy projects such as AI-based pre-examination dental software and non-invasive sugar detection using eye retina, authored books and chapters including Fundamentals of Machine Learning, Management Analytics and Software Engineering, Recent Trends in Engineering and Technology – Edge Computing, and secured patents like Artificial Intelligence Based Heart Rate Monitoring Device for Sports Training, IOT Based Washing Machine for Agricultural Crops, Human Identity Recognition System Using Cloud Machine Learning and Deep Learning Algorithms, Gesture Based Anti-Rape Device, while also holding active memberships with IEEE, ISTE, IEI, UACEE, IAENG, and IACSIT; her academic journey has been marked by mentorship of award-winning projects, reviewer and session chair responsibilities in international conferences, and recognition such as the Best Faculty Advisor Award demonstrating her influence in advancing technology-driven solutions for healthcare, safety, smart systems, and education through research, teaching, patents, and community engagement.

Profile: Google Scholar

Featured Publications:

Sudhan, M. B., Sinthuja, M., Pravinth Raja, S., Amutharaj, J., & Rachel, S. S. Segmentation and Classification of Glaucoma Using U‐Net with Deep Learning Model. Journal of Healthcare Engineering, 2022 (1), Article ID 1601354.

Raja, S. P., & Rachel, S. S. Women’s Safety with a Smart Foot Device. Proceedings of the 4th International Conference on Computing and Communications Technologies (ICCCT).

Raj, S. P., Kavitha, N. S., Rachel, S. S., & Suganthi, P. Smart Hospitals E-Medico Management System. International Journal of Recent Technology and Engineering, 8 (3), 4651–4655.

Rachel, S., Buvana, C., & Srinithi, S. LEARNAUT – Upgraded Learning Environment and Web Application for Autism Environment Using AR-VR. Proceedings of the 7th International Conference on Computing, Communication, Control and Automation (ICCUBEA).

Godwin, S., & Rachel, S. Mental Health Monitoring Using Sentimental Analysis. Annals of the Romanian Society for Cell Biology, 25 (5), 4397–4404.

Rachel, S. S., Azhagumeena, S., Rajakumari, S., & Madhumidha, A. Autonomous Movable Packrat for Habitual Chores. International Journal of Engineering and Technology, 429–431.

Gracia, S. V. J. B., Ponsam, J. G., Rachel, S. S., & Gayathiri, R. Software Robot for Next Generation Industries Using RPA. In Hyperautomation for Next‐Generation Industries, 35–53.

Rachel, S., Saranya, A., & Yashika, R. Automated Driving License Testing System. Proceedings of the International Conference on Power, Energy, Control and Transmission Systems (ICPECTS).

Sinthuja, M., Pravinth Raja, S., Rachel, S. S., & Suganthi, P. Vision Enhancement Using Image Processing. Grenze International Journal of Engineering & Technology (GIJET), 10.

Sinthuja, M., Buvana, C., & Srinithi, S. Trackme – Smart Watch for Women Safety. Proceedings of the International Conference on Power, Energy, Control and Transmission Systems (ICPECTS).

Rachel, S. S., & Kumar, P. Edsys: A Smart Campus Management System. Proceedings of the 1st International Conference on Computational Science and Technology (ICCST).

Rachel, S. Facilitation of Multipurpose Gloves for Impaired People. International Journal of Scientific Research in Engineering and Management, 5.

Rachel, S. S. Detecting the Abandoned Borewell Using Image Processing. Journal of Critical Review, 7 (14).

Rachel, S. S. Adroit Limb – Brain Controlled Artificial Limb. Journal of Emerging Technologies and Innovative Research, 6 (4).

Rachel, S. S. Postal Bag Tracking and Alerting System. In Proceedings of the International Conference on Knowledge Discovery and Computational Intelligence.

Rachel, S. R., & Azhagmeena, S. Image Fusion of MRI Images Using Discrete Wavelet Transform. Frontiers of Current Trends in Engineering and Technology, ISBN: 978-1537313573.

Sheeba Rachel, S., Tharunna, S. N., & Agathiya, V. K. Applying Social Network Aided Efficient Live Streaming System for Reducing Server Overhead. In Proceedings of the National Conference on Instrumentation, Electrical and Electronics Engineering (NCIEEE)

Dr. Peng Yang| Electronic Devices | Best Researcher Award

student at National University of Defense Technology, China

Peng Yang is a dedicated researcher pursuing a Ph.D. at the National University of Defense Technology, focusing on cutting-edge advancements in electronic science and technology. With an M.S. in Microelectronics and Solid-State Electronics from Sun Yat-Sen University, Peng has consistently demonstrated excellence in the fields of ferroelectric transistors, neuromorphic computing, optoelectronic devices, and biosensing. His passion lies in bridging theoretical knowledge with practical applications, driving innovation in emerging electronic technologies.

Publication Profile

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📚 Education

🎓 M.S. in Microelectronics and Solid-State Electronics – Sun Yat-Sen University, Guangzhou, 2020🎓 Ph.D. Candidate in Electronic Science and Technology – National University of Defense Technology, Changsha (ongoing)
Peng’s academic journey reflects a strong foundation in microelectronics and an ongoing pursuit of deeper expertise in advanced electronic systems.

💼 Experience

🔬 Ph.D. Researcher – National University of Defense Technology (2020–Present)📡 Graduate Research Assistant – Sun Yat-Sen University (2018–2020)
Peng’s hands-on experience spans across semiconductor device design, fabrication, and innovative electronic component research.

🏆 Awards and Honors

🏅 Best Paper Award – International Conference on Advanced Electronics (2022)🌟 National Scholarship for Academic Excellence (2019)🏆 Research Excellence Award – Sun Yat-Sen University (2020)
Peng’s dedication to his field is recognized by prestigious awards, celebrating his contributions and academic achievements.

🔍 Research Focus

🔋 Ferroelectric Transistors🧠 Neuromorphic Computing💡 Optoelectronic Devices🩺 Biosensing Technologies
Peng Yang’s research drives the development of next-generation electronics, focusing on technologies that blend computational power with innovative sensing capabilities.

Publications 📖

Multistates and Ultralow-Power Ferroelectric Tunnel Junction by Inserting Al₂O₃ Interlayer
📅 IEEE Transactions on Electron Devices, 2025-01
🔗 DOI: 10.1109/TED.2024.3503533
👥 Contributors: Yefan Zhang, Shihao Yu, Peng Yang, Xiaopeng Luo, Hui Xu, Xi Wang, Haijun Liu, Sen Liu, Qingjiang Li

Fully Electrically Modulated Hetero-Synapses With Lateral Multigate Ferroelectric Thin Film Transistor
📅 IEEE Transactions on Electron Devices, 2024
🔗 DOI: 10.1109/ted.2024.3456775
👥 Contributors: Peng Yang, Hui Xu, Shihao Yu, Yang Liu, Bing Song, Haijun Liu, Sen Liu, Qingjiang Li

The Optical-Electronic Integrated Spiking Neurons Based on Antiferroelectric Thin-Film Transistors
📅 IEEE Transactions on Electron Devices, 2024
🔗 DOI: 10.1109/ted.2024.3450440
👥 Contributors: Luo Xiaopeng, Peng Yang, Yu Shihao, Xu Guo, Yefan Zhang, Yang Liu, Yi Sun, Yinan Wang, Sen Liu, Qingjiang Li

Tailoring Dynamic Synaptic Plasticity in FeTFT Optoelectronic Synapse for Associative Learning
📅 Advanced Electronic Materials, 2024-12-30
🔗 DOI: 10.1002/aelm.202400732
👥 Contributors: Peng Yang, Hui Xu, Xiaopeng Luo, Shihao Yu, Yang Liu, Yefan Zhang, Xu Guo, Bing Song, Zhiwei Li, Sen Liu

Inhibiting the Imprint Effect of the TiN/HZO/TiN Ferroelectric Capacitor by Introducing a Protective HfO2 Layer
📅 AIP Advances, 2024-08-01
🔗 DOI: 10.1063/5.0222725
👥 Contributors: Yu Shihao, Yefan Zhang, Peng Yang, Xiaopeng Luo, Zhenyuan Sun, Haijun Liu, Sen Liu

Multistate Capability Improvement of BEOL Compatible FeFET by Introducing an Al2O3 Interlayer
📅 IEEE Transactions on Electron Devices, 2023-11
🔗 DOI: 10.1109/ted.2023.3309776
👥 Contributors: Yu Shihao, Qin Wang, Yefan Zhang, Peng Yang, Xiaopeng Luo, Haijun Liu, Changlin Chen, Qingjiang Li, Sen Liu

A Large Memory Window and Low Power Consumption Self‐Rectifying Memristor for Electronic Synapse
📅 Electronics Letters, 2023-01
🔗 DOI: 10.1049/ell2.12717
👥 Contributors: Qingjiang Li, Shihao Yu, Peng Yang, Qin Wang, Sen Liu

Improved Symmetry of Ferroelectric Switching in HZO Based MFM Capacitors Enabled by High Pressure Annealing
📅 IEEE Journal of the Electron Devices Society, 2022
🔗 DOI: 10.1109/jeds.2022.3221727
👥 Contributors: Qin Wang, Yefan Zhang, Peng Yang, Rongrong Cao, Haijun Liu, Hui Xu, Sen Liu, Qingjiang Li

🔹 Conclusion

Peng Yang is a strong candidate for a Best Researcher Award, given his contributions to cutting-edge technologies and an impressive publication record. While his collaborative achievements stand out, focusing on individual accolades, project leadership, and public engagement will further bolster his eligibility. Overall, his research trajectory reflects immense promise, positioning him as a rising star in the field of microelectronics and solid-state devices.

Sheeba Rachel S | Machine Learning | Best Researcher Award