COVID-19 Research at NITs & IIEST, Shibpur

Initiatives taken by NITs & IIEST, Shibpur under the Reserch Area: Testing Kit
1 Project Title : Feasibility of novel optomagnetic platform for rapid detection of COVID-19
Expected Outcome : Rapid detection of Covid19 in samples.
Expected Timeline : 3 years
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PI Details : Research Team: Prof. Amitava Basu Mallick, Dept. of Metallurgy and Materials Engineering Dr. Pallab Datta, Centre for Healthcare Science and Technology Dr. Papu Biswas, Chemistry
PI Email id : abasumallick@metal.iiests.ac.in, pd@chest.iiests.ac.in
Indian Institute of Engineering Science and Technology (IIEST), Shibpur
2 Project Title : Developing a SERS-based diagnostic system for label-free detection of COVID-19
Expected Outcome : Lable-free detection of Covid 19
Expected Timeline : 3 years
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PI Details : Research Team: Dr. Ananya Barui, Centre for Healthcare Science and Technology Dr. Chirosree Roy Chaudhuri, Electronics and telecom. Dept. Dr. Jhuma Ganguly, Chemistry
PI Email id : ananyabarui@chest.iiests.ac.in
Indian Institute of Engineering Science and Technology (IIEST), Shibpur
3 Project Title : Rapid Testing of Novel CoronaVirus using Optical detection with Machine Learning models
Expected Outcome : The focus is to develop a system for the Novel Coronavirus (COVID-19) detection using optical technique. The proposed system shall use light with specific wavelengths for instant measurement. The acquired values shall be optimized through machine learning model and precise measurement would be obtained through the proposed system instantly.
Expected Timeline : 4 months
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URL : http://mnit.ac.in/faculty/profile.php?fid=eAe5qBE095mcu6lo27xT6UzBP1voFCFmBDq49r-_GbE
PI Details : Dr. Amit M Joshi, Assistant Professor, Dept. of Electronics & Communication Engineering, MNIT-Jaipur, Dr. Ravikumar Maddila, Assistant Professor, Dept. of Electronics & Communication Engineering, MNIT-Jaipur
PI Email id : amjoshi.ece@mnit.ac.in, rkmaddila.ece@mnit.ac.in
Malaviya National Institute of Technology Jaipur
4 Project Title : Detection of Novel CoronaVirus using early symptoms with IoT based Primary health check up System
Expected Outcome : The preliminary screening of novel coronavirus has been done through thermal screening at most of the public places. However, it is not a reliable solution due to limitation of accuracy. The proposed system would help to find out the respiratory, body temperature and heart rate of the person for the early detection of COVID 19. This device can be further extended with an automatic Internet of Things (IoT) based dispensary to deliver low cost medicines with expert advice for further actions.
Expected Timeline : 2 months
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URL : http://mnit.ac.in/faculty/profile.php?fid=VNqXUwyimPsrA-IVp89mF6sT-GYxBNvpmUDhyLFkouM
PI Details : Dr. Menka, Assistant Professor, Dept. of Electronics & Communication Engineering, MNIT-Jaipur Dr. Amit M Joshi, Assistant Professor, Dept. of Electronics & Communication Engineering, MNIT-Jaipur
PI Email id : menka.ece@mnit.ac.in, amjoshi.ece@mnit.ac.in
Malaviya National Institute of Technology Jaipur
5 Project Title : AI enabled cost effective solution for COVID-19 detection
Expected Outcome : 1. The prototype model is developed to identify the level of severity of COVID-19 virus in patients. 2. Since edge computing is involved, the model shall take less computation time.
Expected Timeline : 6-18 months
Remarks : Objectives: 1. Design and development of a prototype for COVID-19 detection using artificial intelligence (AI) based embedded sensors. 2. The performance of the system must be high in terms of detection accuracy and predict the grade of severity of the disease. 3. The cost of the system must be minimal and which will be useful to common people of India. Methodology: 1. Data Acquisition a. Temperature level, fatigue level, coughs level, nausea level from various sensors. b. CT scan images of lungs. c. Other data/information from nearby hospitals. 2. Realization of AI based embedded sensors a. Placed all the sensors like inertial sensor, camera sensor, temperature fingerprint sensor on a single chip. 3. Data Analytics a. Data collected from cross domains shall be fed to the Deep Learning model. b. Raspberry Pi/ AI based chips shall be used for processing of data (edge computing). c. Output shall be the classification of the data into Positive or Negative class.
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Additional Info
PI Details : Dr. Yogendra Kumar Prajapati (yogendrapra@mnnit.ac.in), ECED, MNNIT Allahabad and Dr. Navjot Singh (navjot@mnnit.ac.in), CSED, MNNIT Allahabad
PI Email id : yogendrapra@mnnit.ac.in
Motilal Nehru National Institute of Technology Allahabad
6 Project Title : Fabrication of Portable and Cost-Efficient UV Torch “Prajjwal 1.0” for surface Disinfection
Expected Outcome : It is a UV based portable surface disinfectant, a low-intensity UV lamp will be placed at the focal point of a parabolic mirror which would result in a parallel beam of UV light. In order to be portable, the device will be battery powered and by virtue of the simplicity of design, it will be affordable, cheap, easily manufacture and economically feasible to be used widely in the country.
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Remarks : The outbreak of a global pandemic, COVID-19 has forced many challenges to mankind. Various measures have been taken to stop its spread. Social distancing, regular hand washing, etc have been advised to prevent its transmission. Countrywide lockdown is one of the major steps taken by the government of India to fight back COVID-19. Essential services like groceries, medicines, etc are necessary for sustenance. If a person is found to be affected with COVID-19, they have to be carefully treated and kept in isolation so that the health workers treating the person may not get affected. One of the root causes of the rapid spread of Corona virus has been due to transmission by surface. Countries like Italy and Spain has suffered a huge outbreak due to transmission through surfaces among other mediums of transmission. In the case of India, this outbreak can be devastatingly huge if not brought under control within this small timeframe. To counter this problem, i.e. contraction through surface transmission, a UV based portable surface disinfectant is hereby proposed.
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Additional Info
PI Details : Dr. Samir Saraswati, Asssociate Professor, MED Dr. Jitendra Narayan Gangwar, Assistant Professor, MED Manas Shrivastava, B.Tech 6th Semester, Prod. and Ind. Engg. Shishir Agrahari, B.Tech 6th Semester, Mechanical Engineering
PI Email id : jgangwar@mnnit.ac.in
Motilal Nehru National Institute of Technology Allahabad
7 Project Title : Fast Detection of SARS-Cov2 antigen by a dot blot
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PI Details : Dr. Sougata Saha and Dr. Sudit S. Mukhopadhyay, Department of Biotechnology
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National Institute of Technology Durgapur
8 Project Title : Development of non-PCR based point of care SARS-Cov 2 RNA detection technique
Expected Outcome : After the optimization of the protocol, the operator only needs to follow a simple RNA separation technique and drop casting and drying of reagent before taking the reading with a handheld Raman spectrometer. It is even possible to reconfigure the spectrometer software just to report positive or negative.
Expected Timeline : one year
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Additional Info
PI Details : Dr. Sudipta Mondal, Dr. Sudit S. Mukhopadhyay and Dr. Sougata Saha, Department of Biotechnology
PI Email id : suditmukhopadhy@yahoo.com
National Institute of Technology Durgapur
9 Project Title : Identifying Potential Small Molecule Inhibitors of the COVID-19
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PI Details : Dr. Sudit S. Mukhopadhyay, Dr. Sougata Saha, Dr. Sudipta Mondal, Dr. Sudipa Mondal and Subba Reddy Doda, Department of Biotechnology
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National Institute of Technology Durgapur
10 Project Title : Fast Detection of SARS-Cov2 antigen by a dot blot
Expected Outcome : Development of faster and cheaper detection method of active SARS-CoV-19 infection.
Expected Timeline : six months to one year
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Additional Info
PI Details :
PI Email id : suditmukhopadhy@yahoo.com
National Institute of Technology Durgapur
11 Project Title : Development of IoT enabled rapid screening device for COVID-19 specific antigen and antibody in point of care application
Expected Outcome : Here we propose a human monoclonal anti-SARS-CoV2 antibody/ antigen-coated strip-sensor for a novel, point of care noninvasive device to detect the COVID-19 specific biomarker antigens (spike proteins S1 and S2) in patient sample. The novel point-of-care diagnostic tool will be designed in the context of Indian scenario and under the National Health Mission India to combat the current pandemic situation.
Expected Timeline : One Year
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Additional Info
PI Details : Dr. Monidipa Ghosh
PI Email id : gmonidipanitd@gmail.com
National Institute of Technology Durgapur
12 Project Title : Deep Learning based imaging data analysis for the diagnosis of COVID-19 patients
Expected Outcome : Software for rapid screening of COVID-19 Patients using X-ray and CT images. The identification of COVID-19 patients can be performed in no time once input images are available.
Expected Timeline : 6 months
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Additional Info
PI Details : Dr. Abhijit Bhattacharya, Assistant Professor, Department of Electronics and Communication Engineering
PI Email id : abhijit@nith.ac.in
National Institute of Technology Hamirpur
13 Project Title : To deign a microwave based sensor for real time detection of corona virus (SARS-CoV-2)
Expected Outcome : a simple and rapid microwave based sensor is going to design with features of increased specificity, increased reliability , real time data and Low cost
Expected Timeline : 3 Months
Remarks : Work is in progress and efforts are being made to collaborate with specialists and institutions who are expert in handling the infectious viruses
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Additional Info
PI Details : Dr. Swagatadeb Sahoo Assistant Professor, Department of Electronics & Communication Engineering, NIT Jamshedpur
PI Email id : swagatadeb.ece@nitjsr.ac.in
National Institute of Technology Jamshedpur
14 Project Title : Affordable Non-Contact Temperature measurement device
Expected Outcome : Low cost non-contact infrared thermometers
Expected Timeline : 2 months
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URL : https://www.nitt.edu/home/academics/departments/ice/faculty/asstprof/periyasamyr/
Additional Info
PI Details : Dr.R.Periysamy, National Institute of Technology Trichy K.Vignesh kumar-SRF student, Dept of ICE, NIT Tiruchirapalli
PI Email id : periyasamyr@nitt.edu
National Institute of Technology Tiruchirappalli
15 Project Title : Digital infrastructure for patient screening and monitoring for pandemic COVID 19 outbreak
Expected Outcome : Intelligent assisted severity identification and stratification tool for novel coronavirus infected patients based on internet of things. This can also be used for continuously monitoring of the suspicious patients remotely.
Expected Timeline : 3 months
Remarks : Funding -1 Lakhs
URL : https://www.nitt.edu/home/academics/departments/ice/faculty/assoprofs/sivakumaran/
Additional Info
PI Details : Dr. N Sivakumaran, Professor, Dept. of Instrumentation and Control Engineering, NIT Trichy. Dr. D. Ezhilarasi, Associate Professor, Dept. of Instrumentation and Control Engineering, NIT Trichy. Mrs. Revathi S and Mr. Rajkumar K, Senior Research Fellow, Dept. of Instrumentation and Control Engineering, NIT Trichy.
PI Email id : nsk@nitt.edu
National Institute of Technology Tiruchirappalli
16 Project Title : : Designing of nanomaterials for the extraction and identification of novel coronavirus
Expected Outcome : The proposed project may provide facile sample procedures for the extraction of viral RNA. Development of visual readers for the rapid and accurate identification of target proteins (N, S, M and E) in the novel coronavirus, which may facilitative to establish a rapid tool for the diagnosis of COVID-19. The designed nanomaterials may show high affinity to bind with the target proteins in the novel coronavirus, which may offer to detect novel coronavirus with simple spectrophotometric methods and
Expected Timeline : 6-12 months
Remarks : The proposed project may provide facile sample procedures for the extraction of viral RNA. Development of visual readers for the rapid and accurate identification of target proteins (N, S, M and E) in the novel coronavirus, which may facilitative to establish a rapid tool for the diagnosis of COVID-19.
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Additional Info
PI Details : Suresh Kumar Kailasaa, Arvind Kumar Mungrayb, Parini Vrajesh Surtia Applied Chemistry Department, S. V. National Institute of Technology, Surat
PI Email id : sureshkumarchem@gmail.com, skk@chem.svnit.ac.in
S V National Institute of Technology Surat
Initiatives taken by NITs & IIEST, Shibpur under the Reserch Area: Testing Kit