Zengxin Gao | Medicine and Health Sciences | Innovative Research Award

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Dr. Zengxin Gao | Medicine and Health Sciences | Innovative Research Award

Department of Orthopedics, Zhongda Hospital, Southeast University School of Medicine | China

Dr. Zengxin Gao is a highly accomplished Chief Physician at Southeast University, Affiliated Zhongda Hospital, recognized for his expertise in orthopedics and minimally invasive spinal interventions. He completed his PhD in Orthopedics at Peking Union Medical College in 2008, following a Master’s degree in Orthopedics (2005) and a Bachelor’s degree in Clinical Medicine from Nanjing Medical University (1990). Dr. Zengxin Gao’s clinical career spans over 30 years, beginning as a physician at Nantong University Affiliated Dongtai Hospital, advancing to attending and associate chief physician, and currently serving as Chief Physician at Southeast University Affiliated Zhongda Hospital since 2015. His research focuses on spinal surgery, intervertebral disc regeneration, and innovative minimally invasive techniques for chronic low back and leg pain, particularly in elderly patients. He has led notable projects, including the Jiangsu Provincial Health Commission’s New Technology Introduction Project on percutaneous single-axis hole microscopy (2021–2023). Dr. Zengxin Gao has made significant scholarly contributions, including sole corresponding authorship in Wenbin Xuan, Yucheng Gao, Zengxin Gao. Intraspinal Bone Fragments Resorption in Thoracolumbar Burst Fracture. JAMA Neurol. 2023;80(11):1248–1249 [Cited 12]; co-first authorship in Linhui Ye, Zengxin Gao, Saeed Rohani. Intervertebral disk regeneration in a rat model by allopurinol-loaded Chitosan/alginate hydrogel. Biomol Biomed. 2023;23(4):661–670 [Cited 5]; and co-corresponding authorship in Shuhua Fang et al. Circ_0027885 sponges miR-203-3p to regulate RUNX2 expression and alleviates osteoporosis progression. BMC Musculoskelet Disord. 2024;25:5 [Cited 3]. He has been awarded the Provincial and Ministerial First Prize for the Medical New Technology Introduction Award (2022) for pioneering percutaneous transforaminal endoscopic intervertebral fusion. Dr. Zengxin Gao’s combination of clinical expertise, innovative research, and leadership in orthopedics underscores his outstanding contributions and makes him an ideal candidate for the Innovative Research Award.

Profile: Scopus

Featured Publications

• Xuan, W., Gao, Y., & Gao, Z. (2023). Intraspinal bone fragments resorption in thoracolumbar burst fracture. JAMA Neurology, 80(11), 1248–1249.
https://doi.org/10.1001/jamaneurol.2023.2901

• Ye, L., Gao, Z., & Rohani, S. (2023). Intervertebral disk regeneration in a rat model by allopurinol-loaded chitosan/alginate hydrogel. Biomolecules and Biomedicine, 23(4), 661–670.
https://doi.org/10.17305/bjbms.2023.8535

• Fang, S., Cao, D., Wu, Z., Chen, J., Huang, Y., Shen, Y., & Gao, Z. (2024). Circ_0027885 sponges miR-203-3p to regulate RUNX2 expression and alleviates osteoporosis progression. BMC Musculoskeletal Disorders, 25(1), 5.
https://doi.org/10.1186/s12891-023-07172-0

• Gao, Z., Lin, Y., Wu, Z., Zhang, P., Cheng, Q., Ye, L., Wu, F., Chen, Y., Fu, M., Cheng, C., & Gao, Y. (2020). LncRNA SNHG6 can regulate the proliferation and apoptosis of rat degenerate nucleus pulposus cells via regulating the expression of miR-101-3p. European Review for Medical and Pharmacological Sciences, 24(16), 8251–8262.
https://doi.org/10.26355/eurrev_202008_22592

• Gao, Z., Lin, Y., Zhang, P., Cheng, Q., Ye, L., Wu, F., Chen, Y., Fu, M., Cheng, C., & Gao, Y. (2019). Sinomenine ameliorates intervertebral disc degeneration via inhibition of apoptosis and autophagy in vitro and in vivo. American Journal of Translational Research, 11(9), 5956–5966.
https://www.ajtr.org/files/ajtr0094769.pdf

Nitika Dhingra | Health Professions | Best Researcher Award

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Dr. Nitika Dhingra | Health Professions | Best Researcher Award

Chitkara University | India

Dr. Nitika Dhingra  is an academic and researcher at Chitkara University, Punjab, India, with expertise in machine learning–integrated sensor development, non-destructive spectroscopy, and RF-based sensing technologies. She holds a Ph.D. in Electronics and Communication Engineering from Chitkara University, supported by an M.Tech from Punjabi University and a B.Tech from Punjab Technical University. Her research advances applications in food adulteration detection, construction material classification, and structural health monitoring of heritage sites. She has contributed significantly as a Junior and Senior Research Fellow under a DST-SHRI scheme, focusing on sensor design, embedded systems, and machine learning integration. In 2024, she secured a DST-funded research grant worth 27 Lakhs as Principal Investigator, demonstrating her leadership in high-impact projects. Her scholarly contributions include 12 publications indexed in Scopus, 9 citations across 8 documents, and an h-index of 2, along with several granted and filed patents. She has been honored with the Gandhian Young Technological Innovation Award, DST Senior Research Fellowship, and the Best Paper Presentation Award at ICAMSE, and was a semi-finalist in the DST–Texas Instruments Innovation Challenge. Dr. Nitika Dhingra’s career exemplifies innovation, academic excellence, and impactful contributions to science and technology.

Profile: Scopus

Featured Publications

  • Dhingra, N., Saluja, N., Garg, R., & Kanwar, V. (2023). Radio frequency as a non-destructive approach to concrete structure health monitoring. Iranian Journal of Science and Technology, Transactions of Civil Engineering. Cited by: 3.

  • Dhingra, N., Ghosh, D., Saluja, N., & Sabapathay, T. (2023). Radio frequency based sensor for adulteration measurement in a continuous two phase-flow of alcoholic beverages. Sensing and Imaging, 24(1), 32. Cited by: 2.

  • Dhingra, N., Saluja, N., Kanwar, V., & Garg, R. (2021). Moisture sensitive electrical property measurement in concrete slab with step graded antenna. Materials Today: Proceedings, 45, 5172–5176. Cited by: 2.

  • Dhingra, N., & Saluja, N. (2024). RF sensor-based adulterant discriminant estimation in mustard oil. Sensing and Imaging, 25(1), 59. Cited by: 1.

  • Dhingra, N., & Saluja, N. (2024). A novel non-destructive technique-based automated classification of construction material using machine learning. Asian Journal of Civil Engineering, 25(1), 805–810. Cited by: 1.

  • Geetanjali, Jindal, P., Saluja, N., Kashyap, N., & Dhingra, N. (2023). Design and optimization of wideband RF energy harvesting antenna for low-power wireless sensor applications. Proceedings of International Conference on Data Science and Applications. Cited by: 1.