Darbha Chandra Mouli Krishna | Health Professions | Young Researcher Award

Dr. Darbha Chandra Mouli Krishna | Health Professions | Young Researcher Award

Dr. Darbha Chandra Mouli Krishna is an emerging clinical researcher in the field of physiotherapy and rehabilitation sciences with expertise in cardiopulmonary rehabilitation, digital health interventions, and technology-assisted rehabilitation. His research focuses on integrating evidence-based physiotherapy practices with innovative rehabilitation technologies, including AI-based posture correction systems, machine learning applications for musculoskeletal injury prediction, neurorehabilitation, and sports rehabilitation. He has actively contributed to clinical innovation through ongoing research projects at BeAble Health Pvt. Ltd., CFHE–IIT Hyderabad. His scholarly contributions include multiple publications in UGC and UGC Care-approved journals, highlighting his commitment to improving patient outcomes through modern rehabilitation strategies and accessible healthcare technologies.

Professional Profile 

Education

Dr. Krishna completed his Master of Physiotherapy (Cardiovascular and Pulmonary Sciences) from Nizam’s Institute of Medical Sciences, where he secured top university ranks for academic excellence. He also obtained his Bachelor of Physiotherapy from the same institution, building a strong academic foundation in physiotherapy, rehabilitation sciences, and evidence-based clinical practice. His educational journey reflects consistent dedication to research, patient care, and innovation in rehabilitation medicine.

Professional Experience

Dr. Krishna previously served as an Assistant Professor in the School of Physiotherapy at MNR University, where he contributed to physiotherapy education, student mentoring, and academic research activities. Currently, he is working as a Clinical Researcher at BeAble Health Pvt. Ltd. in collaboration with CFHE – IIT Hyderabad. His professional work primarily focuses on rehabilitation technology, evidence-based physiotherapy, digital rehabilitation systems, and innovative healthcare solutions aimed at improving patient recovery and accessibility.

Research Interest

His major research interests include physiotherapy and rehabilitation sciences, cardiopulmonary rehabilitation, sports injury prevention, neurorehabilitation, musculoskeletal rehabilitation, digital health interventions, AI-assisted rehabilitation systems, posture correction technologies, exercise therapy, and evidence-based physiotherapy practice. He is particularly interested in integrating machine learning and gamified rehabilitation approaches into clinical physiotherapy to enhance patient engagement and treatment outcomes.

Awards and Honors

Dr. Krishna was recognized as the “Youngest Resource Speaker” in 2026 for his outstanding academic and professional contributions in physiotherapy and rehabilitation sciences. His research presentations at national and international scientific forums have earned appreciation for innovation and clinical relevance. He is also an active member of the Indian Association of Physiotherapist, reflecting his professional engagement and commitment to advancing physiotherapy practice and research.

Conclusion

Dr. Darbha Chandra Mouli Krishna represents a promising young researcher contributing significantly to modern physiotherapy and rehabilitation sciences. Through his academic excellence, clinical expertise, and technology-driven research initiatives, he continues to bridge the gap between conventional physiotherapy and emerging healthcare innovations. His dedication to evidence-based rehabilitation, patient-centered care, and digital health solutions positions him as an emerging leader in rehabilitation research and clinical innovation.

Publications Top Noted

  1. Darbha, D. C. M. K. (2026). A Machine Learning Approach for Predicting Musculoskeletal Injuries Using XGBoost: Enhancing Clinical Decision-Making and Preventive Rehabilitation. Journal of Emerging Trends and Novel Research, ISSN 2984-9276.
  2. Krishna, D. C. M., Jampa, N. S. K., Jothilingam, M., Rameshwar, K., & Saket, K. S. (2026). An AI-Based Real-Time Posture Correction System for Improving Athletic Performance and Preventing Sports Injuries. International Journal of All Research Education & Scientific Methods. https://doi.org/10.56025/ijaresm.2026.140426206
  3. Bindupriya, B., Balaji, N. S. S. N. S., Krishna, D. C. M., Rameshwar, K., & Harika, T. (2026). Effect of Supervised Exercise Training versus Buerger’s Allen Exercise in Improving Claudication Pain and 6 Minute Walk Distance in Patients with Lower Extremity Symptomatic Peripheral Arterial Disease: A Comparative Study. International Journal of All Research Education & Scientific Methods. https://doi.org/10.56025/ijaresm.2026.140426207
  4. Rao, K. P. B., Rameshwar, K., & Krishna, D. C. M. (2026). Compare the Effectiveness of Myofascial Trigger Point Release Therapy versus Passive Neck Stretching Exercises to Reduce Pain in Migraine Patients. International Journal of All Research Education & Scientific Methods. https://doi.org/10.56025/ijaresm.2026.140426208
  5. Vilasrao, K. V., Rameshwar, K., & Krishna, D. C. M. (2026). Comparison of the Effectiveness of Fast Muscle Activation with Stepping Training versus Dual Task Training to Improve Balance among Sub-Acute Stroke Patients. International Journal of All Research Education & Scientific Methods. https://doi.org/10.56025/ijaresm.2026.140426209

Ran WEI | Higher Education | Best Researcher Award

Dr. Ran WEI | Higher Education | Best Researcher Award

Research Fellow at The Hang Seng University of Hong Kong 

WEI Ran received her doctoral degree in The Education University of Hong Kong in 2023. She has been appointed as a research fellow at The Hang Seng University of Hong Kong, focusing on research in the field of environmental sustainability. Her research interests primarily encompass the areas of circular economy, green logistics, supply chain management, ESG (Environmental, Social, and Governance), and risk management analysis.

Publication profile

🏢 Employment

The Hang Seng University of Hong Kong Research Fellow (Supply Chain and Information Management) February 24, 2023 – Present. Hong Kong Polytechnic University Research Associate (CPCE) January 1, 2023 – July 30, 2023

🎓 Education and Qualifications

University of Hong Kong Doctor of Science and Environmental Studies September 1, 2017 – December 10, 2022. University of Hong Kong
Master of Science and Environmental Studies September 1, 2015 – November 10, 2016. University College Cork Master of Social Science
September 1, 2014 – May 1, 2015

Publication

  • Examining the Influence of the RIASEC Theory within the Holland Code on Students’ Academic Performance
    Cogent Education
    December 31, 2024
    DOI: 10.1080/2331186x.2024.2391274

 

  • Multidimensional Financial Metrics for Corporate Financial Risk Assessment and Early Warning Mechanisms
    Journal of Organizational and End User Computing
    August 5, 2024
    DOI: 10.4018/JOEUC.350268
    Co-authors: Eugene Yin Cheung Wong, Matthew Sun, Zhaoqi Wang

 

  • 高校教育管理理论与实践创新研究
    Jilin Publishing Group Co., Ltd.
    July 2024

 

  • Selecting the Best K Features for Predicting Student Participation in Generic Competency Development Activities in Higher Education
    International Journal of Emerging Technologies in Learning (iJET)
    December 5, 2023
    DOI: 10.3991/ijet.v18i23.45499
    Co-authors: Adam Ka Lok Wong, Joseph Chi Ho So, Kia Ho Yin Tsang