Subhash Chandra Yadav | Health Professions | Best Researcher Award

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Prof. Dr. Subhash Chandra Yadav | Health Professions | Best Researcher Award

All India Institute of Medical Sciences, New Delhi | India

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Early Academic Pursuits 🎓

Prof. Dr. Subhash Chandra Yadav began his academic journey with an MSc in Biotechnology from Banaras Hindu University (BHU), Varanasi, in 2003. His thirst for knowledge led him to pursue a Ph.D. in Molecular Biology at BHU, which he completed in 2007 under the mentorship of Prof. Jagannadham V. Medicherla. His doctoral research focused on "Milin," a highly stable glycosylated dimeric plant serine protease from Euphorbia milii, examining its structure, function, folding, and crystallographic properties. During his academic development, he also gained international exposure as a research trainee at the Institute of Crystallography, Free University (FU) Berlin, Germany, from September 2005 to April 2006, where he honed his skills in protein structural biology.

Professional Endeavors and Milestones 💼

Dr. Yadav's illustrious career spans prestigious institutions globally:

  • Postdoctoral Fellowships: He worked on molecular biophysics at the Indian Institute of Science (IISc), Bangalore, and at the Graduate School of Medicine, University of Tennessee, USA.
  • Research and Leadership Roles: As a Scientist and In-Charge of Nanobiology and Electron Microscopy Facility at CSIR-IHBT, Palampur, and Fellow at TERI-Deakin Nanobiotechnology Centre, he spearheaded cutting-edge research.
  • Academic Excellence: He has been serving All India Institute of Medical Sciences (AIIMS), New Delhi, since 2015, rising to the role of Additional Professor. He was also a Visiting Professor at Stanford University, USA, in 2019-2020.

Contributions and Research Focus 🔬

Dr. Yadav’s research interests are at the confluence of nanotechnology, molecular biology, and microscopy:

  • Electron Microscopy and Cryo-Electron Tomography: Advancing the understanding of cellular structures at atomic resolution.
  • Nano-enabled Diagnostic Tools: Innovating methods for rapid and accurate disease detection.
  • Targeted Drug Delivery Systems: Developing nanoparticles for precise therapeutics.

His work includes over 6,630 citations, with an h-index of 18, reflecting the impact of his research. His patent portfolio includes innovative detection kits, cancer diagnostics, and nanotechnology-based systems.

Accolades and Recognition 🏆

Dr. Yadav's groundbreaking contributions have earned him numerous accolades:

  • 2024: Fellow of the Electron Microscopy Society of India.
  • 2019: Long-Term Fellowship from the Department of Health Research to work at Stanford University.
  • 2018: Excellence in Microscopy Award by the Electron Microscope Society of India.
  • 2005-2006: Boehringer Ingelheim Fonds Fellowship, Germany.

Impact and Influence 🌍

Dr. Yadav has significantly influenced the fields of nanotechnology and microscopy through his teaching, research, and mentorship. As a member of prestigious societies like the Indian Biophysical Society and a reviewer for leading journals, he has contributed to advancing scientific knowledge. His innovative patents and publications continue to inspire advancements in diagnostics and therapeutics.

Legacy and Future Contributions Highlight 🚀

With a career defined by scientific rigor, international collaboration, and a vision for impactful research, Dr. Yadav stands as a beacon of innovation. His ongoing work in nanotechnology and cryo-electron tomography promises to shape the future of medical diagnostics and targeted therapies, leaving a lasting legacy in science and technology.

 

Publications

📄 Magnetic nanoparticles and quantum dots coupled immuno nano fluorescence assay for visual detection of HPV16-induced cervical cancer cells from cytology/biopsy samples
Authors: Raman, S., Tanwar, P., Meena, J., Bhatla, N., Yadav, S.C.
Journal: Sensing and Bio-Sensing Research
Year: 2024

📄 Genetics of 67 patients of suspected primary ciliary dyskinesia from India
Authors: Jat, K.R., Faruq, M., Jindal, S., Arava, S.K., Kabra, S.K.
Journal: Clinical Genetics
Year: 2024

📄 Quantitative and qualitative analysis of metallic ion release of orthodontic brackets in three different pH conditions - An invitro study
Authors: DA, P., Angel L, S., Chaudhari, P.K., Yadav, S.C., Duggal, R.
Journal: Journal of Oral Biology and Craniofacial Research
Year: 2024

📄 Rab7-dependent regulation of goblet cell protein CLCA1 modulates gastrointestinal homeostasis
Authors: Gaur, P., Rajendran, Y., Srivastava, B., Ahuja, V., Srikanth, C.
Journal: eLife
Year: 2024

📄 Visual, rapid, and cost-effective BK virus detection system for renal transplanted patients using gold nanoparticle coupled loop-mediated isothermal amplification (nanoLAMP)
Authors: Kumar, S., Raman, S., Sesham, K., Mridha, A.R., Yadav, S.C.
Journal: Journal of Virological Methods
Year: 2024

 

Harikumar Rajaguru | Engineering | Best Researcher Award

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Dr. Harikumar Rajaguru | Engineering | Best Researcher Award

Bannari Amman Institute of Technology | India

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Early Academic Pursuits

Dr. Harikumar Rajaguru began his academic journey in electronics and communication engineering. He completed his Bachelor of Engineering in Electronics and Communication Engineering from Regional Engineering College, Trichy, affiliated with Bharathidasan University, in 1988. He then pursued a Master of Engineering in Applied Electronics at the College of Engineering, Guindy, under Anna University Chennai, graduating in 1990. His passion for biomedical signal processing led him to obtain a Ph.D. in Information and Communication Engineering, with a specialization in Bio Signal Processing, from Thiagarajar College of Engineering, Madurai, under Anna University Chennai in 2009. His Ph.D. thesis focused on the use of soft computing techniques and non-linear models for the performance analysis and classification of epilepsy risk levels from EEG signals.

Professional Endeavors

Dr. Rajaguru's professional career spans over 33 years in academia. He began as a lecturer and senior lecturer at PSNA College of Engineering and Technology, Dindigul, where he served for ten years. He then worked as an Assistant Professor at PSG College of Technology, Coimbatore, for one year. His journey continued at Amrita Institute of Technology, Coimbatore, as a Senior Lecturer and Assistant Professor for over two years. Dr. Rajaguru also spent time as a research scholar at Thiagarajar College of Engineering, Madurai. Since 2006, he has been a professor at Bannari Amman Institute of Technology, Sathyamangalam, where he has contributed significantly to the field of biomedical signal processing and soft computing.

Contributions and Research Focus

Dr. Rajaguru has made substantial contributions to biomedical signal processing, particularly in the classification of epilepsy risk levels from EEG signals. He has been involved in several funded projects, including the development of an ASIC fuzzy processor for diabetic epilepsy risk level classification, wavelet networks for epilepsy risk levels classification from EEG signals, and a non-invasive photo plethysmographic-based glucometer for mass diabetes screening. His research primarily focuses on applying soft computing techniques and developing non-linear models for analyzing and classifying biomedical signals.

Accolades and Recognition

Throughout his career, Dr. Rajaguru has received numerous accolades and recognition for his contributions to engineering and biomedical signal processing. He has published multiple papers in SCI-indexed journals and conferences, showcasing his research findings and innovations. His work has been recognized with patents for various biomedical devices, including an electro gastrogram system for detecting gastric disorders, a sensor for stress measurement using photo plethysmography, and a device for detecting ventricular tachycardia. These patents highlight his innovative approach to solving complex biomedical problems.

Impact and Influence

Dr. Rajaguru's work has significantly impacted biomedical signal processing, particularly in the analysis and classification of epilepsy risk levels and the development of non-invasive diagnostic tools. His research has provided new insights into the use of soft computing and wavelet networks in biomedical applications. His contributions have influenced both academic research and practical applications in the medical field, improving diagnostic techniques and patient outcomes.

Legacy and Future Contributions

Dr. Rajaguru's legacy lies in his dedication to advancing biomedical signal processing through innovative research and teaching. He has guided numerous students in their research projects, fostering the next generation of engineers and researchers. As he continues his work at Bannari Amman Institute of Technology, he is poised to make further contributions to the field, particularly in developing new diagnostic tools and techniques for medical applications. His commitment to research and education ensures that his influence will be felt for years to come, both in academia and the broader field of biomedical engineering.

 

Notable Publications

Wavelet feature extraction and bio-inspired feature selection for the prognosis of lung cancer − A statistical framework analysis 2024

Processing of digital mammogram images using optimized ELM with deep transfer learning for breast cancer diagnosis 2023 (5)

Exploration and Enhancement of Classifiers in the Detection of Lung Cancer from Histopathological Images 2023 (6)

Detection of Diabetes through Microarray Genes with Enhancement of Classifiers Performance 2023 (1)

Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift 2023 (6)