Research & Development

Technology Research Centres

Welcome to the Vishwakarma Institute of Information Technology (VIIT). VIIT has faculty members with expertise in different technology domains, which is utilised in different application for Industrial, Societal and helathcare and agriculture. Thie expertise is exhibited at different times and technology space. VIIT has established center of excellence in different technologies. To support technogy for different usages, VIIT has established technology research centers in following domains:

  1. Technology Research Center in Agriculture
  2. Technology Research Center in Healthcare and Life Sciences
  3. Technology Research Center in Energy and Sustainable Development

These are taken care by different faculties aas per exprtise in the domain

  1. Technology Research Center in Agriculture – Dr. Sandeep Kore – Mech Engg
  2. Technology Research Center in Healthcare and Life Sciences – Dr Shraddha Habbu – E&TC Engg
  3. Technology Research Center in Energy and Sustainable Development - Dr. Pradnya Dixit – Civil Engg.

Dean (R&D), VIIT

Agriculture

Technology Research Centre for Agriculture (TRC-Agri) in Vishwakarma Institute of Information Technology (VIIT), Pune is established in the year 2020-21. The focus of this center is to benefit the farmers with available and innovative technology to solve grass root level problems. The ATC is focusing on providing solutions to famer in the area of cultivation, soil testing, water budgeting, drone technology, low cost harvesting equipment and provide platforms for marketing and sale of product.

Our main focus is to make acquaint with farmer the latest technology available and its effective use in farming. ATC is focusing on providing localized weather data and its prediction in advance, farm clinic, cattle management system etc. ATC will strive for creating ecosystem to make farming easy, affordable and lucrative. 

Mission: To provide Technology solutions for the agriculture and allied business to sustain and grow.

Objectives:

  • To automate the labor intensive processes for addressing labor scarcity by developing and deploying indigenous tools and equipment at affordable price
  • Promote usage of Information and Communication Technology (ICT), Artificial Intelligence (AI) for monitoring and control, prediction and prevention for making farming easier and productive.
  • To aid hi-Tech farming to attract youth to go to village and farming.
  • To create storage and marketing facilities, online platforms to reduce distress sale of agriculture produce.

How TRC will work: Areas of Work

  • Survey in villages to understand agricultural and farming and allied business issues; involve students from farming background to connect with the ground issues.
  • Study and research on tools and equipment used by farmers for making it smart and for ease of use with affordability.
  • Check, try and analyse usage of ICT for better monitoring and control thro different data acquisition and logging systems.
  • Develop portable labs for soil testing, water quality, data acquisition, drones for spraying etc.
  • Computer vision and artificial intelligent algorithms and techniques for disease prediction, early detection and dosage of nutrition and pesticides.
  • Development of drones for applications like spraying, transportation, image capturing and survey of crops.
  • Develop online platforms for marketplaces, local weather monitoring, crop and yield statistics

Our Strengths:

  • Faculty 

Sr. No.

Name of Faculty member

Department

PhD Topic/ Research Project Topic/ Consultancy Work/ Research Work

Duration/ Amount Sanction

Achievement/ Outcomes

1

Dr. Y. H. Dandawate

Electronics & Telecommunication

Development of gateway point for integrating data from wired /wireless environment and soil temperature, humidity sensors and leaf image data from smart phone for timely assistance about the crop health and advice farmers to take preventive measures in order to get maximum yield.

1.5 lakh

SIG-IEEE HAC funding

Wireless weather information is provided to farmers

2

Dr. S. N. Londhe

Civil Engineering

In filling of missing daily rainfall records using soft computing techniques

Rs. 3 lakh

BCUD, Pune

 

3

Dr. S. N. Londhe

Civil Engineering

Impact Assessment of work done under Jal-yukta Shivar Abhiyan

Govt. of Maharashtra

Jal-yukta Shivar project is analysed

4

Mrs. S. G. Dedgaonkar

Information Technology

Bio Gas Plant Monitoring System

Rs. 3 lakh

BCUD, Pune

Data of bio gas is available to consumer

  • Ongoing Research: Projects undertaken/ PhD or M.Tech Thesis work

Sr. No.

Name of Student/ Guide

Department

PhD Topic/ Research Project topic/ Consultancy Work

Duration/ Amount Sanction

Achievement/ Outcomes

1

Dr Mahalle and Dr Prachi Joshi

Computer Engg

Smart Agro Clinic

1 year

Copyright

2

Dr Kore S S

Mech.

De husking machine

1 year

Funding

3

Dr Kore S S

Mech.

Community chulha

1 year

 

4

Dr Phutane

Information Technology

IOT based fertilizer/nutriuent  requirement  and supply system

 

Copyright

5

Dr Phutane

Information Technology

IOT soil testing and irrigation system

1 year

Patent

6

Dr P P Hujare

Mech. Engg

Design and development of bud cutting machine for nursery

1 year

Patent

7

Dr Rahul Pol

E&TC Engg

Design and development of pesticide spraying (10 and 20 lit.) drone

1 year

Funding

8

Dr Shinde Shrikant

Civil Engg.

Portable Soil testing M/C

1 year

 
  • Patents in the domain: Faculty and Student Publications

Sr. No.

Applicants/ Inventors Name

Patent Title

Application Number

Date of Filing/ Publication

Date of Grant

1

Dr. Suvarna Pawar

A system for soil quality analysis

2021101887

13/04/2021

19/05/2021

2

Manasi Venkatesh Ghamande

Process for Water Purification Using Coagulant, Flocculant and Disinfectant

202021002526
Patent No. 358235

21/01/2020

10/02/20

3

Dinesh Kamble,

Dhanapal Kamble

Multipurpose Farming Equipment

201821048088

06/09/2019

 

4

Roshani Raut
S. R. Sakhare
Anuja Rajendra Jadhav

Cattle Security and Health Monitoring Drone

202021006023

12/02/2020

 

5

Manisha Mali

IoT Based Water Dispensing Apparatus

202021008223

26/02/2020

22/05/2020

6

Dr. Praveen Hujare

Design of automated economical multi-sugarcane bud extractor.

202121023396

26/05/2021

 

7

Dr. Praveen Hujare

Design and development of a innovative manually operated seed sowing machine.

202121024516

09/07/2021

 
  • Papers Published:

Sr. No.

Name of Faculty

Paper  Title

Journal/ Conference Name

1

S.N.Londhe, J.Mahale, R.Satpute, Khare K.C, Khisagar M.C

Characterization of strom water quality for a mixed urban catchment : A case study of INDIA

5th International conference on Hydrology and Watershed Management - FEB 2019

2

S.N.Londhe, V. Regulwar, V.Jothiprakash, CH.PraveenKumar

Determination of Reservoir Inflows from River Basin using Soil and Water Assessment Tool (SWAT) and SWAT-CUP: A Case Study

11th World Congress on Water Resources and Environment (EWRA 2019)- Spain

3

.N.Londhe,P.R.Dixit,P.S.Kulkarni

Stream flow prediction using Artificial Neural Network and Support vector Regression

2nd International conference on sustinable water Management, 6-8 Nov 2019, Pune

4

Nilesh Sathe, Shreenivas Londhe, Preeti Kulkarni, Pradnya Dixit 

Fuzzy Logic Based Reservoir Operation

5th Internation conference on Modelling and Simulation in Civil Engineering-ICMSC-2019(Dec 11-13, 2019)

5

Shalaka Shah, Shreenivas Londhe, Nilesh Gandhare

Projecting the change in rainfall trends over Maharashtra using Extreme Value distribution

Hydro 2019 (18-20 Dec 2019)

6

Juneja A and Shinde S

Towards sustainable soil stabilisation by utilising CCR in treatment of expansive soils

The 4th World Congress on Disaster Management, IIT Bombay.

7

Shreenivas Londhe, Preeti Kulkarni, Pradnya Dixit, Digvijay Saruk

Comparison of Numerical and Data Driven Approaches for Rainfall - Runoff Modeling

Hydro International-18

8

Shreenivas Londhe, Preeti Kulkarni, Pradnya Dixit, 

ANN and MT approach for water level forecasting with moving average

WOSC 2019 Andhra University and Viijnana Bharati, Vizag

9

Juneja A and Shinde S

Un drained Yielding of Black Cotton Soil Treated with Calcium Carbide Residue (10.1007/s40098-019-00380-8)

Indian Geotechnical Journal (Article in Press)

10

Shreenivas Londhe, Preeti Kulkarni, Pradnya Dixit, Digvijay Saruk

Comparison of Numerical and Data Driven Approaches for Rainfall - Runoff Modeling

Hydro International-18

11

Shreenivas Londhe, Nikhilesh Gandhare

Study of rainfall pattern using extreme value distributions

NCWES- June 2019

12

R N Bhimanpallewar

Agri Robot: implementation and evaluation of an automatic robot for seeding and fertilizer
microdosing in precision agriculture

Int. J. Agricultural Resources, Governance and Ecology

13

S.G.Dedgaonkar

Biogas Monitoring System using DS18B20 temperature sensor and MQTT protocol.

International Conference on Intelligent Computing and Communication ICICC - 2017

14

R N Bhimanpallewar

A Machine Learning Approach to Assess Crop Specific Suitability for Small/Marginal Scale Croplands

International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 23 (2017) pp. 13966-13973

15

R N Bhimanpallewar

A prototype prototype model for continuous agriculture field monitoring and assessment

International Journal of Engineering & Technology (IJET)

  • Collaborators:
    • Krushi Vikas Kendra Baramati
    • Maharashtra Agriculture Machinery Manufacturing Association
  • Product Developed:
    • Community Chulha

Community Chulha is developed for Ashram School mid day meal. The air is admitted in primary and secondary phases. The efficiency is increased by 35%.The pollution is reduced by 10%.

TRC-Picture1.jpgTRC-Picture2.jpg

Figure 1: Community Chulha

  • Fruit Classification System

Fast and accurate fruit classification is the greatest challenge faced by Agro-Industry. The available machineries are very costly. Machine learning/ Deep learning algorithms have already proven the results in may domain like healthcare, security etc. We can build low cost systems which will help farmers using deep leaning algorithms to classify the fruits with more accuracy and in less time. The classification can be done as per farmers/ industry requirements like Good or Bad Fruits or Ripe or Unripe Fruits etc. We can also create and published neat and clean image datasets and made them available which can be used by other researchers/ developers for training, testing and validating their models. We can also build the system for fruit detection, yield estimation, disease detection, and pesticide application using machine learning or deep learning algorithms. This will directly help farmers/ industries to increase their profit margins. IoT based systems will be also useful for farmers to get time-to-time information about their crops. 

  • Drone for Agriculture Applications

Agriculture plays an important role by contributing to the economy of India.75% of the population has agriculture as their major occupation and only source of income. There are various parts in the process of production where we need to pay more attention to the higher productivity of crops. Many farmers face loss in yields every year due to diseases affecting the crops. A fast and automated system to detect the diseases on crops in the early stage can be very helpful in such situations. Having such a vast variety of types of crops grown in India, The system can be train to identify numerous plant dieses present in crops, Our proposed system aims to develop an auto-guided drone that can take the images of crop leaves as input. These images will then be processed by applying Convolution Neural Network (CNN) to detect the diseases which are affecting the crops. This system will also help mark the most affected regions of fields. By using this system, we can increase the productivity of the crop. The said system is multipurpose and can be also used auto-guided drone which can lift 20 liters of pesticide to sprinkle over the field crops. It will take the input coordinated from the user and execute the complete operations.

TRC-Picture3.png

Figure 2.Block Diagram of “Autonomous Agriculture Drone”

Fig.2. elaborates the complete setup for “Autonomous Agriculture Drone”. It has a Bluetooth connectivity / GPRS / Wi-Fi Connectivity according the field dimension.  The web based user interface provided so as to run the control software from any platform. The web server connection used to store the data (coordinates, field dimension) and the task completed for future use. The standard RF remote controller is used to navigate robot manually in emergency case. A battery management module constantly monitors the battery health and estimate the charging required.

TRC-Picture4.pngTRC-Picture5.png

Figure3.  “Autonomous Agriculture Drone Simulation ”

Fig.3. shows the sample photo of “Autonomous Agriculture Drone” Simulation Environment.

TRC-Picture6.pngTRC-Picture7.png

Figure 4.Field mapping using “Autonomous Agriculture Drone”

Fig.4.shows the sample photo of mapping application using “Autonomous Agriculture Drone” .

TRC-Picture8.pngTRC-Picture9.png

Figure 5.  “Autonomous Agriculture Drone”

Fig. 5.is the sample photo of “Autonomous Agriculture Drone” to be implemented. 

  • Dehusking Machine

The rice de-husking machine is developed under TRC agriculture funded by Unnat Bharat Abhiyan, Govt. of India. The grant of Rs. 1lakh is utilized for the same.

The specifications of the machine are

  • Rice de husking machine has 15-20 Kg. per hr
  • Rice De husking machine works on single phase
  • Electrical Load required 1 HP, 230
  • Weight of machine is approximately kept below 100
  • Foot print – 3 ft X 4 ft , Height – 4
  • Hopper Capacity – near about 25

Competitive Advantage are,

Our innovation has an edge over other machine on following point:

  • It is not increasing temperature of rice. It retains volatile content in
  • It retains bran in the rice. Difference in colour of rice is visible and need no
  • Minimum Breakage of Rice and yield is 70 to 75 %.
  • Affordable cost .
  • Less labour
  • Only 1 unit per hour electrical
  • It tries to address stocking problem. Instead of stocking polished white rice. It will create a system to stock raw rice and supply brown rice as per

Economical Enhancement of Farmers as-

  • In Market, Brown rice price is 60% more than White
  • Brown rice production by our machine is 20 to 25 % more than conventional
  • Rice breakage is 2 to 3 % so more Brown
  • The By product, Rice Husk, also sold in Brick making, pet feeder Industry, as

Gasifier, for briquette or pallet making, in steel industry, in manufacturing of particle board etc.

 TRC-Picture11.jpg

TRC-Picture12.jpg

                                                 Fig.6  Details of De-Husking Machine

  • Advisory Committee:

Sr. No.

Name of Member

Designation and Affiliation

Area of Expertise

Category

01

Dr. Vivek S. Deshpande

Chairman - Director, VIIT

IoT, WSN, Communication

Director

02

Mr. J.M. Jadhav

In charge Krushi Vikas Kendra, Baramati ( Full name and address)

 Agriculture Technology

KVK – NGO Officer

03

Dr. Dhananjay Newadkar

Pathologist

Water conservation, Paani Foundation (https://www.thebetterindia.com/255789/revive-grasslands-maharashtra-lamkani-village-save-water-conservation-dhananjay-newadkar-paani-foundation-environment-him16/)

NGO and Specialist in Water Conservation

04

Dr. Deshmukh

John Deer Pune

Farm equipment manufacturer

Equipment Manufacturer

05

Mr. Sudam Gaikwad

Praj Industries,Pune

Associate Vice President at Praj Industries Ltd. And Progressive farmer at Baramati (https://www.linkedin.com/in/sudam-gaikwad-172849aa/)

Farmer- Who is Technocrat

06

Dr. Atul P Kulkarni

Dean IIPC,VIIT

Materials, Manufacturing, Industry relations

Industry relations

07

Dr. Rajendra Talware

Dean R & D,VIIT

Data Acquisition Systems,  Platform Development

Research Wing

08

Dr. Sandeep S.  Kore

In-charge – TRC in Agriculture

Mechanical Design, Manufacturing

Member Secretary

Reach us:

Contact Details:This email address is being protected from spambots. You need JavaScript enabled to view it.,9604420316

Dr. Sandeep S. Kore, Coordinator- Technology Research Center in Agriculture

Asso.Prof. Dept of Mech Engg. VIIT, Pune

Office:

Technology Research Center in Agriculture

Vishwakarma Institute of Information Technology, Kondhwa, Pune 411 048

Ph:  020 - 26950200     email: This email address is being protected from spambots. You need JavaScript enabled to view it.   web: viit.ac.in

 

Healthcare and Life Sciences

Technology Research Centre in Healthcare (TRC-Healthcare) at Vishwakarma Institute of Information Technology (VIIT), Pune is established in the academic year 2021-22. Technology plays a vital role in today’s medical scenario in early detection, diagnosis and treatment of disease. Technology has a profound effect across all processes and practices of healthcare professionals. Medical Practitioners and Engineers work hand in hand to provide a conducive health care environment. The focus of this center is to bring together medical experts and engineers to solve today’s biomedical engineering problems. The center plans to explore current trends & challenges and understand the need of innovation across the health care system. The TRC-H is focusing on providing solutions especially in medical diagnostics, medical imaging, medical devices, tele-medicine and technology assistance in sensing and early detection of the disease.

Mission: To provide technological assistance and solutions to the medical practitioners for improving patient healthcare system.

Objectives:

  • Support of technology towards medical professionals and patients to provide affordable, faster and effective solutions for the investigation and diagnosis.
  • Use of Information and Communication Technology (ICT), Artificial Intelligence (AI), and IoT to provide assistance in telemedicine
  • Promote usage of Data Science and Analytics, for monitoring and control, prediction and prevention, and decision support in clinical diagnosis.
  • To address various issues of rural health care monitoring and support system

How TRC Works: Areas of Research and Services

  • Interaction with the medical practitioners to identify the different domains / areas in medical field where technology assistance is required to improve the existing systems.
  • To create awareness and trust among the medical practitioners about use of advanced technology (like AI and IoT) and its reliability in clinical diagnosis.
  • Develop portable, low cost technological solutions to support rural healthcare systems.
  • Study and research on tools and equipment used in healthcare to improve reliability and performance of the healthcare system.
  • Computer vision and AI algorithms and techniques for the prediction and early detection of the disease.
  • Develop online platforms for telemedicine applications.

Our Strengths:

  • Projects Executed by Faculty

Sr. No.

Faculty and Department

PhD Topic/ Research Project topic/ Consultancy Work/ research Work

Duration/ Amount sanction

Achievement/ Outcomes

1

Dr. S. K. Habbu

Noninvasive blood Glucose Estimation using Photolplethysmography

Rs. 2 lakh

BCUD, Pune

POC for noninvasive blood glucose estimation

2

Dr. Archana Ratnaparakhi

Multiclass Classifier for arrhythmia Detection

Rs. 2 lakh

BCUD, Pune

Publication

3

       
  • Patents in the Domain: Faculty and Student Publications

Sr. No.

Applicants/ Inventors Name

Patent Title

Application Number

Date of filing/ Publication

Date of Grant

1

Habbu S.K., Joshi S.S., Dale M.P., Ghongade R.B

Non-invasive Blood Glucose estimation by Photoplethysmography using
Single Pulse Technique with Cepstral coefficients

201921032125

8/8/2019

14/3/2022

2

Wanjale, Kirti H.; Chitre, Abhijit; Raut, Ketan Janraoji; Gawande, Pravin; Deshmukh, Minal

Automated mask detection and thermal screening system and method to avoid Covid'19 spreading

2021106711

24/08/2021

24/11/2021

3

Nitanshu Nilesh Katkar
Ajinkya Harihar Shinde
Tanmay Manish Deshpande
Dr. Satish Chinchanikar
Sonia Manoj Pardeshi
Rudrani Pravinchandra Patil
Yash Manoj Kolte
Runaj Kishor Mutha

DESIGN AND DEVELOPMENT OF FACE MASK BRACKET WITH PROVISION FOR COLLAR MICROPHONE.

202121041865

29/10/2021

-

4

Sonal Shamkuwar

Design and development of vibrating vein finder device with LED impingement

202021049188

27/11/2020

 

5

Suruchi Gaurav Dedgaonkar

a system for detection of audio-visual sensory processing disorder

202121001958

12/02/2021

 

6

 Patil, Swati Bula ; Pandit,Dipti Pratik

A deep learning based system for automatic segmentation and quantification of covid-19 in CT images

2021101851

 

19/05/2021

7

Bagade, Jayashri Vitthalrao ; Shelke, Priya Makarand

A baby monitoring smart cradle using raspberry pi and IOT sensors

2021102964

29/05/2021

20/10/2021

8

Dinesh Kamble,

Dhanapal Kamble

A Portable Testing Unit for Blood, Urine And Water (A Product Of Optimized Pcm Process Parameters)

201921037433

13/12/2019

 

9

Archana Ratnaparkhi

A portable twelve lead fetal ECG acquisition system and method thereof

202021020732

19/06/2020

-

10

Archana Kshitij Ratnaparkhi
Dr. Dattatraya S. Bormane
Dr. Rajesh B. Ghongade
Dr. Rajendra S. Talware

FUZZY ROUGH ASSISTED PORTABLE MINIATURE DILIGENT E-HEART SYSTEM

201821027705

10/08/2018

30/06/2022

11

Archana Kshitij Ratnaparkhi Dr. Dattatraya S. Bormane

Dr. Rajesh B. Ghongade Dr. Rajendra S. Talware

A soft rough set based heart health monitoring system

201821017915

01/06/2018

11/07/2022

  • Recent Publications:

Sr. No.

Name of Faculty

Paper  Title

Journal/ Conference Name

1

Habbu, S., Dale, M., & Ghongade, R. (2019). Estimation of blood glucose by non-invasive
method using photoplethysmography

Estimation of blood glucose by non-invasive method using photoplethysmography

Sādhanā Journal- FEB 2019

2

Habbu, S. K., Joshi, S., Dale, M., & Ghongade, R. B. (2019, October

Non-invasive Blood
Glucose Estimation Using Pulse Based Cepstral Coefficients.

In 2019 2nd International
Conference on Signal Processing and Information Security (ICSPIS)

3

Habbu, S. K., Dale, M. P., Ghongade, R. B., & Joshi, S. S. (2019, December). In

Comparison
of Noninvasive Blood Glucose Estimation Using Various Regression Models.

International Symposium on Signal Processing and Intelligent Recognition Systems (pp.
306-318). Springer, Singapore.

 

4

Bhimanpallewar, R.N

Wireless Healthcare Monitoring System Using Arduino Uno

IJSER 2017

5

Dedgaonbkar Suruchi, Rajneeshkaur Sachdeo - Bedi

Technology Support for Autistic people, a Survey

2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA)

6

Suruchi Dedgaonkar, Rajneeshkaur Sachdeo, Suneel Godbole

Hybrid Feature Vector for Screening of Autistic People using Deep Learning

International Journal of Intelligent Engineering and Systems 2019

7

Archana Dikshit-Ratnaparkhi, Dattatraya Bormane, Rashmi Raut,

Development of Algorithm for Extraction of Fetal from Maternal ECG on Benchmark Database and Prototype Development for Acquisition

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)

8

A Dikshit-Ratnaparkhi, D Bormane, R Ghongade

A Framework for Optimal Attribute Evaluation and Selection in Hesitant Fuzzy Environment Based on Enhanced Ordered Weighted Entropy Approach for Medical Dataset

Journal of Biomedical Physics & Engineering 2019

9

Archana Ratnaparkhi, Pallavi Deshpande, Gauri Ghule

A Framework for Segmentation and Classification of Arrhythmia using Novel Bidirectional LSTM Network

International Journal of Computing and Digital Systems 2021

10

Smita Bhagwat, Prachi Mukherji

Electromyogram (EMG) based fingers movement recognition using sparse filtering of wavelet packet coefficients

Sādhanā 2020

11

Smita H Bhagwat, PA Mukherji, S Paranjape

Denoising of Surface Electromyography Signal Using Parametric Wavelet Shrinkage Method for Hand Prosthesis

Innovative Data Communication Technologies and Application 2022

12

Smita Bhagwat, Prachi Mukherji

Temporal Feature Extraction for Improving Myoelectric based Recognition of Prosthetic Hand

2020 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) 2020

  • Existing Collaborators:
    • BKL Walawalkar Rural Medical College & Research Center, Dervan
    • Sampark E-Polyclinic Pune
  • Product Developed:
    • POC for Noninvasive Blood Glucose Estimation using Photoplethysmography

 TRCH-Picture1.jpg

Figure 1: Noninvasive Blood glucose estimation using Photoplethysmography

  • Smart Temperature Monitoring Device:

TRCH-Picture2.jpg

  • Smart Helmet developed for Collaborative Onsight Work

TRCH-Picture3.png 

  • Advisory Committee:

Sr. No.

Name of Member

Designation and Affiliation

Area of Expertise

Capacity

1

Dr. Vivek S. Deshpande

Chairman - Director, VIIT

IoT, WSN, Communication

Director

2

Dr. Pramod Pinjari

Project Consultant, VIIT

Healthcare & Life Sciences

 

3

Dr. Suvarna Patil

Medical Officer, BKL Walawalkar Rural Medical College and Research Center 

Gynecologist & Obstetrician,

Medical Expert

4

Dr. Sanjay Agarwal

Diabetologist and Internal Medicine,  Apollo Jehangir Hospital in Bund Garden,

Diabetes & Medicine

Medical Expert

5

Dr. Namita Joshi

Director of Sampark ePolyclinic

Voice Therapist

Medical Expert

6

Dr. Atul P Kulkarni

Dean IIPC,VIIT

Materials, Manufacturing, Industry relations

Industry relations

7

Dr. Rajendra Talware

Dean R & D,VIIT

Data Acquisition Systems,  Platform Development

Research Wing

8

Dr. Shraddha K Habbu

In-charge – TRC in Healthcare

Biomedical Instrumentation, Biomedical Signal processing

Member Secretary

9

Dr. Chadrashekhar Garde

Professor E&AS department VIIT

 

Member

10

Dr.Shrikant Joshi

Assistant Professor, E&TC department VIIT

Signal Processing

Member

11

Dr.Gauri Ghule

Assistant Professor, E&TC department VIIT

Signal Processing

Member

12

Mrs. Suruchi Dedgaonkar

Assistant Professor, IT department VIIT

Speech Signal Processing

Member

Reach us:

Dr. Shraddha K Habbu ( Coordinator- Technology Research Center in Healthcare)

This email address is being protected from spambots. You need JavaScript enabled to view it.,    9860640182

Office:  Technology Research Center in Healthcare

Vishwakarma Institute of Information Technology, Kondhwa, Pune 411 048

Ph:  020 - 26950200     email: This email address is being protected from spambots. You need JavaScript enabled to view it.   web: viit.ac.in

Energy and Sustainable Development

  • Advisory Committee

Sr. No.

Designation

Name

1

Director

Prof. V. S. Deshpande, Director, VIIT, Pune

2

Head TRC

Prof. R. S. Talware, Dean R and D , VIIT, Pune

3

In-charge TRC

Dr. P. R. Dixit,  Asso. Prof. Civil Engg., VIIT, Pune

4

Member TRC Ad. Comm.

Dr. B. B. Kale, Director General, CMET, Pune

5

Member TRC Ad. Comm.

Mr. M. P. Pathak, Director, Unity Cons. Pvt. Ltd

6

Member TRC Ad. Comm.

Mr. D. V. Newadkar, Pani Foundation

7

Member TRC Ad. Comm.

Mr. Sudam Gaikawad, Vice Precident PRAZ,international Business

8

Member TRC Ad. Comm.

Mr. Buchade, Tech. Officer, Joint Director of Agri. Office, Pune Divisio, Govt. of Maharashtra.

9

Member TRC Ad. Comm.

Prof. V. A. Patil, Dean Admin and Registrar, VIIT, Pune

10

Member TRC Ad. Comm.

Prof. Y. H. Dandawate, Dean Quality , VIIT, Pune

11

Member TRC Ad. Comm.

Dr. A. V. Chitre, Dean Academics, VIIT, Pune

12

Member TRC Ad. Comm.

Prof. Atul Kulkarni, Dean Industry Int. VIIT, Pune

13

Member TRC Ad. Comm.

Prof. Sachin Sakhare, HOD Comp. Engg., VIIT, Pune

 14

Member TRC Ad. Comm.

Prof. Parikshit Mahalle, HOD AI-DS, VIIT, Pune

masma

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