Rachna Garg | Cognitive Neuroscience | Excellence in Research Award

Ms. Rachna Garg | Cognitive Neuroscience | Excellence in Research Award

Ms. Rachna Garg | Tecnia Institute of Advanced Studies under GGSIPU | India

Ms. Rachna Garg is an accomplished Assistant Professor and Psychologist at Tecnia Institute of Advanced Studies, Delhi, bringing over a decade of experience in teaching, research, and psychological training. She is pursuing a Ph.D. in Psychology from Amity University, Gwalior, with a research focus on elderly mental health, resilience, and mindfulness-based cognitive interventions. She holds dual MBAs in Human Resource Management and Marketing, an MA in Psychology, and a B.Com (Hons) from Delhi University, reflecting a strong interdisciplinary background. Her scholarly output includes multiple international publications, book chapters, and research papers indexed in SCOPUS, Web of Science, and UGC-CARE. She has authored four book chapters with ISBNs and completed two major research projects on elderly mental health, alongside an ongoing Ph.D. empirical study. Her contributions extend to extensive training programs for MCD, NDMC, DIET, and SCERT educators, where she has delivered modules on communication, conflict management, learning disabilities, and sexual literacy. She has served as Convener for a notable Faculty Development Program on Indian Knowledge Systems. With an h-index of 1, a total of 10 documents, and 5 citations across ResearchGate and Google Scholar, she continues to advance impactful psychological research. She also holds editorial and reviewer roles in multiple reputed journals.

Profiles: Scopus | Orcid

Featured Publications

Garg, R. (2025, October 9). Rewiring the aging mind: A randomized controlled trial on the transformative impact of mindfulness-based cognitive behavioural therapy on depression and anxiety. Journal of Ecophysiology and Occupational Health.

Garg, R. (2025, September 13). Group-based mindfulness-based cognitive behavioral intervention for enhancing resilience and preventing depression and anxiety in at-risk elderly: A randomized controlled trial. Journal of Rational-Emotive & Cognitive-Behavior Therapy.

Garg, R. (2025, July 2). Evaluating the impact of mindfulness practices on depression, anxiety, and stress in geriatric populations: A randomized control trial. The Learning Curve, (ISSN 2321-7057).

Garg, R., Awasthi, S., & Gupta, N. (2025, January 2). The role of a 10-week mindfulness-based cognitive behavioral therapy intervention in managing depression, anxiety, and stress among the elderly: A quasi-experimental study. Journal of Neonatal Surgery, 14(21s). https://doi.org/10.63682/jns.v14i21s.5344

Garg, R., Awasthi, S., & Gupta, N. (2024, November). Mindfulness meets aging: The transformative power of mindfulness and cognitive behavioral interventions for mental health in the golden years. Indian Journal of Psychology, (ISSN 0019-5553).

Yue Ding | Cognitive Neuroscience | Best Researcher Award

Dr. Yue Ding | Cognitive Neuroscience | Best Researcher Award

Dr. Yue Ding | Shanghai Mental Health Center | China

Dr. Yue Ding is a distinguished neuroscientist and biomedical engineer whose research focuses on the neural mechanisms of music and rhythm-based interventions for affective and anxiety disorders, particularly in children and adolescents. With a Ph.D. in Neuroscience from Tsinghua University and a B.S. in Biomedical Engineering from Dalian University of Technology, Dr. Ding has extensive experience in both academic and industry settings, including leadership roles at Shanghai Mental Health Center, AI Institute at iFlytek, and Nielsen Consumer LLC, as well as a visiting scholar position at Johns Hopkins University. Dr. Ding’s research integrates neuroscience, artificial intelligence, and virtual reality to develop personalized interventions, including closed-loop music therapies, rhythm interactive training, and controllable music generation models, supported by numerous national and municipal grants. His work also explores neural oscillations in depression and anxiety, taste perception, and language impairments in Alzheimer’s patients. He is actively involved in professional organizations, including the Art Psychotherapy Committee, Music Psychology Committee, and editorial boards of prominent journals such as Scientific Reports and Frontiers in Psychiatry. With 17 published documents, Dr. Ding has garnered 228 citations and holds an h-index of 8, reflecting his influential contributions to the fields of neuroscience, neuroengineering, and mental health research.

Profiles: Scopus | Google Scholar | Linked In

Featured Publications

Ding, Y., Hu, X., Li, J., Ye, J., Wang, F., & Zhang, D. (2018). What makes a champion: The behavioral and neural correlates of expertise in multiplayer online battle arena games. International Journal of Human–Computer Interaction, 34(8), 682–694.

Ding, Y., Hu, X., Xia, Z., Liu, Y. J., & Zhang, D. (2021). Inter-brain EEG feature extraction and analysis for continuous implicit emotion tagging during video watching. IEEE Transactions on Affective Computing, 12(1), 92–102.

Ding, Y., Zhang, Y., Zhou, W., Ling, Z., Huang, J., Hong, B., & Wang, X. (2019). Neural correlates of music listening and recall in the human brain. Journal of Neuroscience, 39(41), 8112–8123.

Ding, Y., Chu, Y., Liu, M., Ling, Z., Wang, S., Li, X., & Li, Y. (2022). Fully automated discrimination of Alzheimer’s disease using resting-state electroencephalography signals. Quantitative Imaging in Medicine and Surgery, 12(2), 1063–1077.

Ding, Y., Gray, K., Forrence, A., Wang, X., & Huang, J. (2018). A behavioral study on tonal working memory in musicians and non-musicians. PLOS ONE, 13(8), e0201765.

Zhang, Y., Ding, Y., Huang, J., Zhou, W., Ling, Z., Hong, B., & Wang, X. (2021). Hierarchical cortical networks of “voice patches” for processing voices in human brain. Proceedings of the National Academy of Sciences of the United States of America, 118(44), e2103518118.