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

 

Mona Ebadi Jalal | Computer Science | Best Researcher Award

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Ms. Mona Ebadi Jalal | Computer Science | Best Researcher Award

University of Louisville | United States

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Early Academic Pursuits 🎓

Ms. Mona Ebadi Jalal's academic journey is marked by excellence and dedication. She is currently pursuing a PhD in Computer Science at the University of Louisville, where she maintains a perfect GPA of 4.00. Her research focuses on the cutting-edge fields of Machine Learning and Deep Learning, under the guidance of Professor Adel Elmaghraby. Prior to this, she earned a Master’s Degree in Information Technology Engineering from K. N. Toosi University of Technology (KNTU) in Tehran, Iran, where she graduated with an impressive GPA of 17.75/20. Her master’s thesis involved developing a novel deep learning model using recurrent neural networks to forecast incoming call volumes in call centers, a project that earned a perfect grade of 20/20. She also holds a Bachelor’s Degree in Computer Engineering - Software from Payame Noor University in Hamedan, Iran, where she developed a patient information management system for a hospital as part of her thesis.

Professional Endeavors 💼

Ms. Ebadi Jalal’s professional career is equally distinguished. She is currently a PhD Fellow and Research Assistant at the University of Louisville, where she conducts in-depth research in customer behavior analysis, medical image analysis, and diagnostics prediction, utilizing advanced Machine Learning and Deep Learning methods. Before pursuing her PhD, she worked as an IT Consultant specializing in SAP ABAP and Business Data Analysis at Naghshe Aval Keyfiat (NAK) and Faraz Andishan Hesab Companies in Tehran, Iran. During this period, she designed and implemented custom solutions within the SAP framework, conducted thorough analyses of business processes, and managed end-to-end project lifecycles. She has also served as a Software Developer, developing and maintaining web applications and managing relational databases.

Contributions and Research Focus 🔬

Ms. Ebadi Jalal’s contributions to the field of computer science are significant and diverse. Her research primarily focuses on the application of Machine Learning and Deep Learning to customer behavior analysis and medical diagnostics. She has developed predictive models for call center operations and contributed to the advancement of personalized marketing through counterfactual analysis. Her recent work includes a deep learning framework for abnormality detection in nailfold capillary images, which has the potential to revolutionize diagnostics in medical imaging.

Accolades and Recognition 🏅

Ms. Ebadi Jalal’s academic and professional achievements have been recognized with numerous awards and honors. She was awarded a prestigious fellowship for her PhD studies at the University of Louisville in 2022. During her time at K. N. Toosi University of Technology, she was nominated for the Superior Student Researcher honor in 2014. Additionally, she ranked in the top 1% in Iran’s nationwide graduate-level entrance exam in Information Technology Engineering in 2012 and received a national graduate-level full scholarship.

Impact and Influence 🌍

Ms. Ebadi Jalal’s work has had a profound impact on both academia and industry. Her research has led to new insights in customer behavior analysis and medical image diagnostics, influencing the development of more effective marketing strategies and diagnostic tools. As a peer reviewer for several prestigious journals, including IEEE Access and Scientific Reports, she contributes to the advancement of knowledge in her field by ensuring the quality and rigor of published research.

Legacy and Future Contributions 🌟

Ms. Ebadi Jalal is poised to leave a lasting legacy in the field of computer science. Her ongoing research in machine learning and deep learning holds the potential to drive significant advancements in both customer behavior analysis and medical diagnostics. With her strong academic background, extensive professional experience, and numerous accolades, she is well-positioned to continue making groundbreaking contributions to the field in the years to come. Her future work will likely influence the next generation of researchers and practitioners, further solidifying her impact on the world of technology.

Publications

📝 Artificial Intelligence Algorithms in Nailfold Capillaroscopy Image Analysis: A Systematic Review

Journal: MedRxiv
Year: 2024
Authors: Emam, Omar S.; Jalal, Mona Ebadi; Garcia-Zapirain, Begonya; Elmaghraby, Adel S.

📝 Analyzing the Dynamics of Customer Behavior: A New Perspective on Personalized Marketing through Counterfactual Analysis

Journal: Journal of Theoretical and Applied Electronic Commerce Research
Year: June 2024
Authors: Mona Ebadi Jalal; Adel Elmaghraby

📝 Forecasting Incoming Call Volumes in Call Centers with Recurrent Neural Networks

Journal: Journal of Business Research
Year: November 2016
Authors: Mona Ebadi Jalal; Monireh Hosseini; Stefan Karlsson

📝 Analysis of Customer Behavior in Purchasing and Sending Online Group SMS Using Data Mining Based on the RFM Model

Journal: Sharif Journal of Industrial Engineering & Management
Year: February 20, 2016
Authors: Mona Ebadi Jalal; Somayeh Alizadeh