Call for Proposal for TIH-IoT Technology Development Program 2022 (2) | Applications invited for “Aarohan” – TIH-IoT Seed Support Program 2022 | Applications invited for TIH-IoT CHANAKYA Fellowship Program 2022-2023 (3) | Results of TIH-IoT Entrepreneur in Residence (EIR) Program | Shortlisted Startups/Projects for AYANSH TIH-IoT Start-Ups and Spin-Offs Program 2022

About TIH Foundation for IoT & IoE (TIH-IoT)

TIH Foundation for IoT & IoE (TIH-IoT) has been setup as a Section-8 company (not-for-profit) by IIT Bombay under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS), being implemented by the Department of Science and Technology (DST), Government of India. Technology Innovation Hub for IoT & IoE (TIH-IoT) at IIT Bombay is focusing on creating a self-sustaining innovation continuum by fostering translational research for technology & product development, building highly knowledgeable human resource and a vibrant start-up ecosystem, in the technology vertical of Internet of Things (IoT). The goal is to help India become a pioneer in technology led economic growth and prepare the country to be the world leader in the technology arena.

CHANAKYA Fellowship Program

Comprehensive and Holistic Advancement of National Knowledge Yield and Analytics (CHANAKYA) is an initiative under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) with a focus on human resource development.
Engineering colleges/ Technical institutes in India are a huge pool of human resource in the form of students, but they are not sufficiently oriented towards reaching out to industry or solving problems that can benefit society. To overcome this gap and produce graduates trained in CPS who can be problem-solvers or turn entrepreneurs. In the present call for proposal, applications are invited for TIH-IoT CHANAKYA Fellowship program 2022-2023.

This program provides an opportunity for faculty to form a group of students from various academic levels (UG, PG, PhD) to work on a project in the areas of IoT. The project is proposed by the faculty and the students are a part of that team.

Guidelines for Group Formation:

  • Faculty mentor/supervisor should apply on behalf of the group/team.
  • Faculty mentor/supervisor should form a team from same institute and nominate one of the students as team leader to work on the proposed project.
  • The faculty can make a group as per the table below. Based on the group category the team can select from the two project areas for which they can apply.
Sr. No Group Category No. of Students Project Areas
TIH-IoT domain (a) Industry Problems (b)
1 UG 2-5
2 UG + PG 2-5 (minimum 1 UG, maximum 2 PG)
3 UG + PhD 2-5 (maximum 1 PhD student)
4 PG + PhD 2-5 (maximum 1 PhD student)
5 UG+PG+PhD 2-5 (minimum 1 UG, 1 PG and 1 PhD or maximum 3 UG, 2 PG and 1 PhD)

Project Areas

The project proposals are invited from any of the two areas mentioned below,

a) TIH-IoT Domain
Project proposals for the Fellowship must be in the broad area of IoT and IoE and its applications, including, but not limited to:

Application Areas Technology Areas
Agriculture Sensors
Healthcare Network and communication
Industrial IoT Cloud Computing
Security Systems Secured Edge Computing
Smart Education Smart Actuator System
Smart Cities Software-based projects (IoT Platform and applications)
Other relevant areas Security

b) Industry Problems

This program provides an opportunity to Undergraduate (UG) and Postgraduate (PG) students to work on industrial problems in the technology domain of the Internet of Things (IoT) and its applications, under the guidance of a Faculty Mentor. Students will also be provided financial support through fellowships.

  • Opportunity to interact with industries and to work on challenging industrial problems.
  • Mentoring and guidance from Industry experts and Professors from premier institutes
  • Financial Support
Sr. No. Company Name/Mentor Problem Statement Description
1 Mathworks Bengaluru Monitoring and Control of Bioreactor for Pharmaceutical Production Support. To ensure a predefined product quality target is consistently achieved for all batches regardless of inherent process disturbances  and batch-to-batch fluctuations. This is demonstrated by applying the QbD methodology utilising the PAT framework to an industrial bioprocess with MATLAB® and Simulink®.
2 Digital Twin and Predictive Maintenance of Pneumatic Systems. To develop a simulation model of a pneumatic system by parameterizing it for normal and faulty behaviors. Generate synthetic sensor data by running simulations under different conditions.
3 Voice Controlled Robot Smart devices and robots have become part of our everyday life and human-robot interaction plays a crucial role in this rapidly expanding market. Talking to a machine is going to complete change the way we work with robots.
Design and program a wheeled robot to respond to voice commands, visually identify specified targets, and navigate around obstacles to reach the target. Use a low-cost platform such as Arduino or Raspberry Pi to build the robot and design the system including robot mission, control, and perception using Simulink. Eventually deploy the designed system to the robot.
4 Wind Turbine Predictive Maintenance using Machine Learning Improve the reliability of wind turbines by using machine learning to inform a predictive maintenance model. Work with Simscape™ Driveline™ to create a plant and fault model for wind turbines using MATLAB® and Simulink®. The model should be detailed enough to capture important dynamics. Demonstrate that out of spec performance and component failure can be predicted by identifying data that varies but is still within spec. Determine the most useful set of sensors to ensure that predictive maintenance is possible without adding too much cost and complexity.
5 Srihtvak Skin Hair Laser center Requirement of an affordable & indigenous software for trichoscopy and trichogram analysis for dermatologists and trichologists. a. Now a days the cases of hair and scalp problems are increasing in marked numbers and those are affecting individual personalities and causing psychological impacts and loss of productivity.

b. Trichoscope is one of the important tools required for analysis of scalp and hair available in market.

c. The software available for the analysis of the findings of tricoscopy on AI based platforms are developed from foreign countries and those are complex and costly as well.

d. There is need for development of an indigenous, affordable & simplified software for the same.

6 Jain Irrigation Systems Ltd., India Predictive Irrigation Recommendations Irrigation decision tools boil down to two key questions: “when and how much?”. An irrigator wants to know when to water and how much water to apply to the crop. A soil moisture probe is deployed to give the grower insight into the application of water and nutrient throughout the profile. The interpretation and presentation of that data determine the level of success in answering those two questions. With the increasing availability of predictive analytics, we should be able to use existing data to offer better answers.
7 TIH-IoT Prof. Anirban Guha, IIT Bombay Design and fabrication of onion harvester. Design and fabricate a machine for harvesting (digging out from the ground) onions which can be operated by the manual effort of one person.
8 TIH-IoT Prof. Maryam Shojaei Baghini, IIT Bombay Programmable Sensor-System 4 to 8-channel sensor-system with analog inputs (compatible with environmental sensors) and digital outputs. The target system will have a pre-defined range of analog inputs and every channel will be independently programmable/enabled. The designed system will be demonstrated with actual sensors
9 Design, implementation and demonstration of a systematic solution for the remote monitoring and maintenance of deployed sensor/actuators systems with the wireless connectivity in the agriculture fields (type of the system, test field demonstration, type of the crop and wireless connectivity is open to the applicants). While sensing and actuation with the standardization of IoT/IoE technologies become more and more a part of the agriculture industry various aspects need to be taken care of without the financial burden. One of these aspects is the maintenance, regular checkup, and troubleshooting of the internal mechanical and electrical systems used in the deployed sensors, actuators and/or their peripherals and interfaces. Industries interested to choose and demonstrate an example for such systematic approaches using IoT/IoE technologies are invited to develop and demonstrate their selected solution. The scale may be small for the demonstration purpose. TIH IoT/IoE IIT Bombay has associated scientists from ICAR and is connected to NGO’s, providing guidance and facilitating the project execution if required.
10 Optimal financial models and their simulation for emulating the entire cycle from soil preparation till crop selling with maximum risk mitigation for the farmers with small scale agriculture lands Resource constrained farming and climate change create unavoidable challenges on the predictable yield and hence, farmers face risk of not only losing the profit but also losing the initial investment. It will be helpful to create models of various climate, field, soil, pest and crop conditions along with the associated finance models. Such models will create a replica of various hypothetical situations and even further, possible economical solutions to mitigate them at the early stages. Interested industries are invited to provide practical models and solution emulation based on their own selected geographical area and type of crop. TIH IoT/IoE IIT Bombay has associated scientists from ICAR and is connected to NGO’s, providing guidance and facilitating the project execution if required.
11 TIH-IoT Prof. Bhaskaran Raman, IIT Bombay Easy interface for browser-based insecure/informal
quizzes
SAFE can easily be repurposed for informal quizzes, e.g. audience questions during talks. This would be useful since people do not have to install an app or deal with app permissions. This will involve work on the SAFE server side to build an interface for detecting browsers and allowing insecure/informal quizzes on those.
12 TIH-IoT Prof Mahadeva Prasanna, IIT Dharwad Development of Automatic Speech Recognition for Limited Resource Language The goal of automatic speech recognition (ASR) is to convert spoken messages in the given speech signal to equivalent text message. In the major languages like English, there is availability of large amounts of labelled speech data and also linguistic resources like pronunciation dictionaries and language models. This is one of the major reasons for very good performance, comparable to human level. However, many Indian languages will have only limited resources. It becomes a challenge to develop an ASR system in such a scenario. The aim of this project is to explore strategies for the development of ASR systems for limited resource languages. The same can be illustrated by considering one of the scheduled Indian languages. Preference will be given to those who are interested in developing the ASR system for ODIA language.
13 Development of Machine Translation System for Limited to Zero Resource Language Pair deep learning. The goal of machine translation (MT) is to convert written messages in one (source) language to equivalent written messages in another (target) language. In the major languages like English and Hindi, there is availability of large amounts of parallel text databases and linguistic resources. This is one of the major reasons for very good performance. However, many Indian languages have limited resources and tribal languages will not have any resources (zero resource). It becomes a challenge to develop an MT system for translation of written messages from one of the limited resources to zero resource language. The aim of this project is to explore strategies for the development of the MT system for translation from scheduled language to tribal language. The same can be illustrated by considering a pair of scheduled and tribal languages. Preference will be given to those who are interested in developing the MT system from ODIA to KUI language.
14 Development of Text to Speech Synthesis System for Zero Resource Language The goal of text to speech synthesis (TTS) is to convert written messages to spoken messages. In the major languages like English, there is availability of large amounts of speech databases and linguistic resources. This is one of the major reasons for very good performance. However, many Indian languages, especially, tribal languages do not have any such resources. It becomes a challenge to develop a TTS system for zero resource language. The aim of this project is to explore strategies for the development of TTS systems for a tribal language. Preference will be given to those who are interested in developing the TTS system for KUI language.
15 Development of Speech to Speech Translation of Man-ki-Baat videos The work involves downloading and organization of man-ki-baat videos, speech and text. Using them development of ASR, MT and TTS systems. Using these modules, Speech to speech translation system needs to be developed

Eligibility Criteria:

A) Undergraduate (UG)

  • Students can be of any discipline of engineering/science of undergraduate course to be eligible for the internship.
  • Students should have completed the first/second (engineering/science) year program and have at least 10 months left in their respective course at the time of sanction.
  • Students should have a minimum Cumulative Grade Point Average (CGPA)
    /Cumulative Performance Index (CPI) of 6.0 on the scale of 0-10; or a minimum
    of 60% marks in aggregate, till immediate previous semester/year, at the time of the start of internship.
  • Students should not be receiving any other government funded scholarship/ Grants, during the period of fellowship.

B) Postgraduate (PG)

  • Students admitted to PG program in CPS or related areas at IITs, NITs and other AICTE/UGC approved institutions and having a valid GATE/JAM score. Dual degree students from IITs without GATE score are eligible for PG fellowship.
  • The student should have a minimum Cumulative Grade Point Average (CGPA)/ Cumulative Performance Index (CPI) of 6.0 on the scale of 0-10 or a minimum of 60%marks in aggregate, till immediate previous semester/year/degree, at the time of the start of fellowship.
  • Students should not be receiving any other Government funded fellowship/grants, during the period of the fellowship.

B) Doctoral (PhD)

  • Students admitted to PhD programmes in CPS or related areas, at different technical institutions like IITs, NITs and other AICTE/UGC approved engineering institutions.
  • The student must have a minimum Cumulative Grade Point Average (CGPA)/ Cumulative Performance Index (CPI) of 6.0 on the scale of 0-10 or a minimum of 60% marks in aggregate till immediate previous semester/year/degree, at the time of start of fellowship.
  • Students should not be receiving any other government funded fellowship/grants, during the period of the fellowship.

Support:

A) Undergraduate (UG) Students

  • Duration: up to 10 months.
  • Monthly fellowship of INR 10,000/-.
  • A maximum of INR 20,000/- per student towards consumables and contingency.

B) Postgraduate (PG) Students

  • Duration: up to 2 years.
  • Monthly fellowship of INR 12,400/-.
  • A maximum of INR 50,000/- per student per year, towards consumables and contingency.

C) PhD Students

  • Monthly fellowship of INR 31,000/- for first and second year. INR 35,000/- for third and fourth year.
  • HRA at the rate of 24% of the fellowship amount.
  • Duration: 4 years extendable up to 5 years
  • A maximum of INR 50,000/- per student per year, towards consumables and contingency.

Note: The contingency fund can be utilized for covering the cost of travel and stay of the student, consumables, and conference/course registrations.

How To Apply

  • The faculty should form a group of students in any of the group categories and apply accordingly to the respective category of projects. The faculty must fill the application form on behalf of the group.
  • Applications will only be accepted through the application form, link for which has been given at the end of the section.
  • The project proposal has to be prepared in the prescribed format given in the link (Project Proposal Format) and should be submitted along with the application form.
  • Applicant (faculty mentor) should obtain a No Objection Certificate (NOC) in the given (NOC format) from their Institute and submit it along with the application form.
  • The team can make only 1 project application in the registration form. However, for applying for more than 1 projects they will have to do separate registrations.

Click Here to Apply

Last Date to Apply

20th December 2022 6:00 pm IST.

Contact

For any queries related to the application please write to us at chanakya-iot@tihiitb.org