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The “Nano-Eye Approach” program explores the cutting-edge field of colorimetric nanosensors, focusing on their role in detecting environmental pollutants and pathogenic biomarkers. Over one month, participants will delve into the science of nanoparticle-based sensors, learning how these tools offer real-time, cost-effective analytical methods for monitoring various substances in complex matrices.
Participants will gain practical insights into the synthesis of nanoparticles, their functionalization, and their application in colorimetric sensing. The course covers a range of sensor types, including those used for heavy metals, organic compounds, and biological entities in both environmental and clinical samples. Through lectures, labs, and project work, students will be able to design and test their own nanosensors, fostering a deep understanding of both the technology and its implications for sustainability and health.
The “Nano-Eye Approach” program explores the cutting-edge field of colorimetric nanosensors, focusing on their role in detecting environmental pollutants and pathogenic biomarkers. Over one month, participants will delve into the science of nanoparticle-based sensors, learning how these tools offer real-time, cost-effective analytical methods for monitoring various substances in complex matrices.
Participants will gain practical insights into the synthesis of nanoparticles, their functionalization, and their application in colorimetric sensing. The course covers a range of sensor types, including those used for heavy metals, organic compounds, and biological entities in both environmental and clinical samples. Through lectures, labs, and project work, students will be able to design and test their own nanosensors, fostering a deep understanding of both the technology and its implications for sustainability and health.
This program aims to equip participants with the skills to develop and apply colorimetric nanosensors for detecting pollutants and biomarkers, enhancing environmental monitoring and public health. By understanding nanosensor design and function, participants will contribute to innovative solutions for industrial, environmental, and healthcare challenges.
Dr. Himadri B. Bohidar is currently associated with National Center for Excellence in Agro- nanotechnology TERI-Deakin Nanobiotechnology Center, Gurgaon, NCR. He received his Ph.D. Degree in Physics from Indian Institute of Technology, Delhi in 1981 and earned Academic Experience of 31 years in Teaching & Research. Then earned Administrative Experience in JNU for 8 Years. He is having 12 Years of Administrative Experience at National Level. His Area of Expertise includes Nanoscience and Nanotechnology, Nano-bio interface science, Soft Matter Science, Polymer Physics, Biophysics. He has 221(h index: 28) Publications in International Journals and author of 2 Books i.e., Polymer Physics and Molecular Biophysics: Cambridge University Press, 2014, UK, and Self-Assembly of Nanoparticles: Wiley- VCH, Berlin, Germany, 2017). He has filed 9 Patents (one granted). He has supervised 23 Ph.D. students in his career till now. Externally funded Projects Handled is of Rs. 207 lakhs (from DST, DBT and SERB).
Standard Fee: INR 4,998 USD 110
Discounted Fee: INR 2499 USD 55
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List of CurrenciesCertification to this program will be based on the evaluation of following assignment (s)/ examinations:
| Exam | Weightage |
|---|---|
| Mid Term Assignments | 20 % |
| Final Online Exam | 30 % |
| Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
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PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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