Kanchan Upadhyay | Phosphor materials | Best Paper Award

Dr. Kanchan Upadhyay | Phosphor materials | Best Paper Award

Research Associate at Bhilai Institute of Technology, India

Dr. Kanchan Upadhyay is a distinguished researcher in analytical chemistry and material luminescence, currently serving as a DST-WOS-B Fellow at Bhilai Institute of Technology, Durg. With over 75 publications, three books, and an H-index of 18, her work has significantly contributed to spectrophotometric analysis and phosphor synthesis. A recipient of the Chhattisgarh Young Scientist Award (2015) and a former National Postdoctoral Fellow (DST-SERB, 2017–2019), she continues to advance research in nanoscience and applied physics.

Publication Profile

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Educational Details

Dr. Kanchan Upadhyay earned her Ph.D. in Chemistry from Pt. Ravishankar Shukla University, Raipur, in 2013, focusing on the “Development of Spectrophotometric Methods for Analysis of Pharmaceutical and Cosmetic Samples.” She holds an M.Sc. in Chemistry (2005) and a B.Sc. in Biology (2003) from Govt. V.Y.T. PG Autonomous College, Durg, affiliated with Pt. Ravishankar Shukla University. Additionally, she has pursued a B.Ed. degree.

Professional Experience

Dr. Upadhyay is currently a DST-WOS-B Fellow at the Department of Applied Physics, Bhilai Institute of Technology, Durg. She previously served as a Research Associate at the same institution and was a National Postdoctoral Fellow (NPDF) at the International & Inter University Centre for Nanoscience and Nanotechnology, Mahatma Gandhi University, Kottayam, Kerala (2017–2019). She has also worked as a Research Associate at Pt. Ravishankar Shukla University, Raipur. Throughout her career, she has collaborated with institutions such as Bhilai Institute of Technology, Pt. R.S.U. Raipur, and NIT Raipur.

Research Interest

Dr. Upadhyay’s research expertise spans analytical chemistry, synthesis, and luminescence properties of phosphors. She has made significant contributions to the development of novel spectrophotometric techniques and materials for pharmaceutical and cosmetic sample analysis. Her work extends to applied physics, particularly in nanoscience and material luminescence applications.

Author Metrics

  • Total Publications: 75
  • Book Chapters: 2
  • Books Authored: 3
  • H-Index: 18
  • Total Citations: 739

Top Noted Publication

ZnO Metal Oxide Nanoparticle as a Biological Tool

  • Authors: N. Khanna, Nitin; R.K. Tamrakar, Raunak Kumar; S. Tiwari, Samit; K. Upadhyay, Kanchan
  • Journal: Reviews in Inorganic Chemistry, 2024
  • Citations: 2
  • Summary: This review discusses the biomedical applications of zinc oxide (ZnO) nanoparticles, focusing on their antimicrobial, anticancer, and biosensing properties. The study highlights the advantages of ZnO nanoparticles in drug delivery and bioimaging due to their unique optical and electronic properties.

Surface Functionalized Nanoparticles: A Boon to Biomedical Science

  • Authors: K. Upadhyay, Kanchan; R.K. Tamrakar, Raunak Kumar; T.P. Sabu, Thomas P.; M.T. Kumar, Manish Thilek
  • Journal: Chemico-Biological Interactions, 2023
  • Citations: 17
  • Summary: This review explores the role of surface-modified nanoparticles in biomedical applications, including targeted drug delivery, cancer therapy, and biosensing. The paper emphasizes functionalization techniques to enhance the biocompatibility and efficiency of nanoparticles in medical applications.

Green Emitting Dysprosium-Activated SrY₂O₄ Phosphor for Tricolor White Light-Emitting Diode Application: Structural Analysis and Luminescence Behavior

  • Authors: K. Upadhyay, Kanchan; S. Thomas, Sabu; A. Tharayil, Abhimanyu; R.K. Tamrakar, Raunak Kumar
  • Journal: Chemical Papers, 2023
  • Citations: 2
  • Summary: This study investigates the synthesis and luminescence properties of Dy³⁺-activated SrY₂O₄ phosphor, highlighting its potential application in white LED technology. The work provides insights into the structural and optical characteristics that contribute to efficient green emission.

Design of RF Energy Harvester for 3.5 GHz

  • Authors: K. Upadhyay, Kanchan; M.R. Kumar, Manish Ranjith; A. Chaturvedi, Abhay
  • Conference: [No source information available]
  • Citations: 0
  • Summary: This paper presents a design for an RF energy harvester optimized for 3.5 GHz, demonstrating its potential in wireless energy transfer and IoT applications.

Recycling, Sustainability, Ecological, Economic, and Safety Aspects of Supercapacitors

  • Authors: A. Chakraborty, Abhishek; J. Gomes, Judith; S. Kumar, Sunil; K. Upadhyay, Kanchan; R.K. Tamrakar, Raunak Kumar
  • Source: [No source information available]
  • Citations: 0
  • Summary: This chapter discusses the sustainable manufacturing, recycling, and environmental impact of supercapacitors, with a focus on economic viability and safety considerations in energy storage technologies.

Mechanoluminescence for Infrastructure, Health, and Safety Applications

  • Authors: R.K. Tamrakar, Raunak Kumar; M.T. Kumar, Manish Thilek; K. Upadhyay, Kanchan
  • Source: [No source information available]
  • Citations: 0
  • Summary: This chapter explores the applications of mechanoluminescent materials in infrastructure, biomedical monitoring, and safety applications, highlighting their potential in stress detection and emergency signaling.

Conclusion

Dr. Kanchan Upadhyay is a strong candidate for the Best Paper Award due to her significant contributions to phosphor materials, nanoscience, and analytical chemistry. Her high publication record, interdisciplinary impact, and prior recognitions reinforce her eligibility. However, increasing high-impact publications and international collaborations could further enhance her profile for future research awards.

Mostafa Jalilifar | Medical Physics | Best Researcher Award

Dr. Mostafa Jalilifar | Medical Physics | Best Researcher Award

Researcher at Iran University of Medical Sciences, Iran

Dr. Mostafa Jalilifar is a medical physicist with expertise in nuclear medicine, radiation therapy, and AI-driven medical imaging. He is currently completing his Ph.D. at Iran University of Medical Sciences, focusing on deep learning-based dosimetry for thyroid cancer treatments. He has taught at leading academic institutions in Iran, contributed to multiple research projects in medical physics, and actively publishes in the field. His work bridges advanced imaging techniques with artificial intelligence to improve patient outcomes in nuclear medicine.

Publication Profile

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Educational Details

  • Ph.D. in Medical Physics (2019–2024) – Iran University of Medical Sciences
    • Thesis: Estimation of Patient-Specific Absorbed Dose in Radioiodine Therapy of Thyroid Cancer Patients Based on Planar (2D) and SPECT (3D) Images Using Deep Learning.
  • M.Sc. in Medical Physics (2013–2016) – Jundi Shapur University of Medical Sciences, Iran
    • Thesis: Quantitative Evaluation of EEG During Amygdala Kindling to Categorize Different Stages of Kindling: A Step to Develop a Seizure Prevention Technique.
  • B.Sc. in Medical Radiation Engineering (2009–2013) – Islamic Azad University, Tehran Science and Research Branch

Professional Experience

Dr. Mostafa Jalilifar is a medical physicist specializing in nuclear medicine, radiation therapy, and medical imaging analysis. He has taught extensively at various academic institutions, including Iran University of Medical Sciences and Shahid Chamran University of Ahvaz. His teaching portfolio includes undergraduate and graduate courses such as Basic Physics, Medical Physics, and New Perspectives in Nuclear Medicine. He has also contributed to laboratory training and hands-on learning for medical students.

Dr. Jalilifar’s research focuses on dosimetry, radiotherapy optimization, deep learning applications in medical imaging, and quantitative analysis of brain activity during seizure development. His doctoral research integrates artificial intelligence with nuclear medicine imaging to enhance patient-specific dose estimations in thyroid cancer treatments.

Research Interest

  • Nuclear Medicine and Radiation Therapy
  • Dosimetry and Patient-Specific Dose Estimation
  • Medical Imaging Analysis (SPECT, PET, Planar Imaging)
  • AI and Deep Learning in Medical Imaging
  • EEG Analysis and Seizure Prediction

Top Noted Publication

Title: Quantifying Partial Volume Effect in SPECT and Planar Imaging: Optimizing Region of Interest for Activity Concentration Estimation in Different Sphere Sizes
Authors: Mostafa Jalilifar, Mahdi Sadeghi, Alireza Emami-Ardekan, Kouhyar Geravand, Parham Geramifar
Journal: Nuclear Medicine Communications
Year: 2024
Citations: 1

Conclusion

Dr. Mostafa Jalilifar is a strong candidate for the Best Researcher Award. His research in AI-driven nuclear medicine imaging and patient-specific dosimetry is highly innovative and clinically relevant. To enhance his competitiveness, he should focus on increasing citation impact, securing leadership roles, and publishing in high-impact journals. With his expertise in medical physics, radiation therapy, and AI integration, he is well-positioned to make significant contributions to the field.