Recent advances in mobile computing and networking have resulted in low cost pervasive sensing, ubiquitous communications networks and mobile platforms with more on-device computation than ever before. This allows large scale connectivity while leveraging cloud computation. Although, much of the sensing and mobile devices have become part of everyday life, their relevance and applicability towards developing interdisciplinary solutions for critical application domains like energy and healthcare, is yet untapped, due to several technical and contextual limitations. HumanSense project is applying the aforesaid advancements to address domains of energy and healthcare by empowering users with information that helps them in decision making and thus optimizing on the limited available resources. Relevant interdisciplinary solutions are being developed using a distributed cyber physical infrastructure to collect high resolution data about user activity and its associated context (e.g. environmental, social, economic, cultural and educational). Collected data, after suitable processing, establishment of data quality and understanding of the context in which the data is collected, will help in achieving optimal decisions both at the individual and the system level. A system comprising hardware platforms, mobile middleware, distributed server software and algorithms will be developed that can measure personalized energy impact and provide personalized recommendations towards energy conservation. Similarly, a scalable system to provide efficient, integrated and affordable healthcare services will be developed. This system comprising mobile based health kit, GIS integrated modular server side software, and related algorithms, will be test deployed in some hospitals.
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Remarks: Typical enrolment: 15
This course will provide an overview of wireless sensor networks and will cover a wide range of topics including node architecture, operating systems, Medium Access Control, routing protocols, time synchronization, localization, energy management, programming abstractions, mobility, and applications
Remarks: Average Enrolment: 10
The contents developed by GIS experts from SHIV NADAR University are:
1. A unique way of collecting environmental data (indoor and outdoor)
2. Spatial Data modeling
3. Interpolation technique applications
Remarks: Developed and is being offered. CSE-635, IIIT-Delhi
Title: Programming Cloud Services for Mobile ApplicaitonsRemarks: Developed and deliverd a course on Cloud Mobile systems covering topics like Middleware. The course is a 600 level course
Title: Developing web-GIS application for energy usage and AnalysesRemarks: Geospatial courseware for Master's programme
Title: Design & Development of Mobile Device Remarks: Avg. enrolment per offering:30
Added for M.Tech in Mobile & Pervasive Computing syllabus at IGDTUW
Remarks: Avg. enrolment per offering:30
Added for B.Tech in Computer Science & Engineering syllabus at IGDTUW
Remarks: Avg. enrolment per offering:60
Added for B.Tech in Computer Science & Engineering syllabus at IGDTUW
Remarks: Enrolment per class: 40.
Offered to final year B.Tech CSE majors and PhD students in Monsoon 2016
Remarks: Avg. enrolment per offering: 60
Links/URL: https://www.igdtuw.ac.in/images/stories/igit_syllabus/CSERemarks: Avg. enrolment per offering:60
Links/URL: https://www.igdtuw.ac.in/images/stories/igit_syllabus/CSERemarks: Avg. enrolment per offering:60
Links/URL: https://www.igdtuw.ac.in/images/stories/igit_syllabus/CSERemarks: Avg. enrolment per offering: 11000+
Remarks: Established with partial support from DELL Inc., the IoT Laboratory at SNU Computer Science and Engineering department is an ultra-modern smart facility that provides complete support for research and development of end-to-end IoT systems.
The IoT Laboratory is equipped with sophisticated hardware like microcontroller boards, sensors & actuators, LED screens, computing devices, IoT cloud interfaces, and gateway devices – all suitably integrated in a smart test environment.
This smart lab offers specialized CSE courses, namely, Internet of Things, Wireless Sensor Networks, Wireless & Mobile Systems and Distributed Systems. It provides opportunities for students to learn theoretical concepts, develop, and deploy prototypes by doing hands-on experiments for real life problems and funded research projects.
Remarks: Avg. enrolment per offering: 20
Title: Interfacing external sensorsRemarks: : Introduced the topic of interfacing external sensors with mobile phones, in the Mobile Computing Course offered in the Monsoon semester at IIIT Delhi
Title: Data ProvenanceRemarks: A course module on Data Provenance is added at IIIT-Delhi
Title: A course on ad-hoc wireless networks at IIIT DelhiRemarks: Incorporate the modeling into suitable courses at IIIT Delhi (e.g. Mobile Computing, Advanced Mobile Computing)
Title: : A course in Internet of thingsRemarks: e.g. Mobile Architecture and programming
Links/URL: 1. https://www.igdtuw.ac.in/images/stories/igit_syllabus/CSE_7.PDFRemarks: Avg. enrolment per offering: 20
Title: Interfacing external sensorsRemarks: : Introduced the topic of interfacing external sensors with mobile phones, in the Mobile Computing Course offered in the Monsoon semester at IIIT Delhi
Title: Data ProvenanceRemarks: A course module on Data Provenance is added at IIIT-Delhi
Title: A course on ad-hoc wireless networks at IIIT DelhiRemarks: Incorporate the modeling into suitable courses at IIIT Delhi (e.g. Mobile Computing, Advanced Mobile Computing)
Title: : A course in Internet of thingsRemarks: e.g. Mobile Architecture and programming
Links/URL: 1. https://www.igdtuw.ac.in/images/stories/igit_syllabus/CSE_7.PDFRemarks: Avg. enrolment per offering: 20
Title: Interfacing external sensorsRemarks: : Introduced the topic of interfacing external sensors with mobile phones, in the Mobile Computing Course offered in the Monsoon semester at IIIT Delhi
Title: Data ProvenanceRemarks: A course module on Data Provenance is added at IIIT-Delhi
Title: A course on ad-hoc wireless networks at IIIT DelhiRemarks: Incorporate the modeling into suitable courses at IIIT Delhi (e.g. Mobile Computing, Advanced Mobile Computing)
Title: : A course in Internet of thingsRemarks: e.g. Mobile Architecture and programming
Links/URL: 1. https://www.igdtuw.ac.in/images/stories/igit_syllabus/CSE_7.PDFRemarks: Online lab manuals for easy student accessibility
Links/URL: www.mobileeducationkit.net Remarks: Application Number: 2354/DEL/2015
Filing Date: 28/01/2015
Remarks: Application Number: 201611017103
Filing Date: 8/5/2016
Remarks: Indira Gandhi Delhi Technical University for Women, Delhi
Application Number: 201611017103 May 8, 2016
Remarks: Participants: 50
Date: 05-06-2017 to 14-07-2017
6 weeks Summer Training Program 8 (STP 8) 3, organized for students, held at IGDTUW in association with Microsoft and MHRD projects
Remarks: Participants: 50
Date: 06-06-2016 to 15-07-2016
6 weeks Summer Training Program 7 (STP 7) organized for students, held at IGDTUW in association with Microsoft and MHRD projects
Remarks: Participants: 50
Date: 15-06-2015 to 24-07-2015
6 weeks Summer Training Program 6 (STP 6) organized for students, held at IGDTUW in association with Microsoft and MHRD projects
Remarks: Participants: 41
Date: 16-06-2014 to 25-07-2014
6 weeks Summer Training Program 5 (STP 5) organized for students, held at IGDTUW in association with Microsoft and MHRD projects
Remarks: Participants: 45
Date: 20 & 21 March 2015
Venue: NIT Warangal
Remarks: Participants: 50
Venue: Amity School of engineering & Technology, NOIDA
Remarks: 11. Participants: 38
Venue: Bhaskaracharya College, Delhi University
Remarks: Participants: 42
Venue: NIT Silchar
Remarks: Participants: 55
Date: 23rd May 2015
Remarks: Participants: 55
Title: Two days workshop on Build your own smart device using Intel Galileo, Raspberry Pi at MSRIT, Bengaluru Remarks: Participants:50
Date: 1st-2nd July 2016
Remarks: Participants: 40
Date: 2nd April 2016
Remarks: Participants:30
Date: 18th July 2016
One day workshop
Remarks: Participants: 40
Date: 16 to 20 May 2016
Remarks: Participants: 65
Date: 13 Feb 2016
Remarks: Participants: 31
Date: 07 & 08 Jan 2016
Remarks: Participants: 40
Date: 4-8 May 2015
Remarks: Participants: 30
Date: 23rd May 2015
Remarks: Participants:40
Date: 1st March 2015
Remarks: Participants: 50
Date: 4th July 2016
Remarks: Participants: 50
Date: 3rd July 2016
Remarks: Participants: 50
Date: 9th July 2016
Remarks: Participants: 50
Date: 10th July 2016
Remarks: Participants:60
Date: December 2016
Remarks: Avg. enrolment per offering: 11000+
NPTEL
Remarks: No. of participants: 40
Title: One day workshop on Intel Galileo Gen -2 organized in association with Intel Remarks: Participants: 40
Date: April 2016, June 2016, June 2017
Remarks: Participants: 30
Date: 23 May 2015
Remarks: Date: 20-21st November
Remarks: Collaboration Area: Under this program the following training and evaluation kits are recieved- Atmel AVR XMEGA-A1 Xplained Kit, EVK 1100, AVR Dragon Tool
Title: INTEL University ProgramRemarks: Collaboration Area: Under this program the following training and evaluation kits are recieved- Intel Atom, DE2i-150* FPGA Development Kit (P0126) presentation, Inforce Computing: SYS940X-ECX
Title: NOKIA University ProgramRemarks: Collaboration Area: Under this program we have received a no. of mobile devices(Nokia Asha 309,Nokia Asha305,Nokia X,Nokia Lumia 800,Nokia Lumia 820,Nokia N9,Nokia N900)
Title: ARM University ProgramRemarks: Collaboration Area: Under this program the following training and evaluation kits are recieved -Mbed NXP LPC11U24), Freedom board(KL25Z
Title: Anand Infotech for SolutionsRemarks: Collaboration Area: Product design
Title: Trinity Microsystems(I) Pvt. Ltd for technology transferRemarks: Collaboration Area: My smartphone kit
Title: IBM Research, DelhiRemarks: Collaboration Area: Funded Internet of Things Laboratory and Cloud Computing and Big Data Laboratory
Title: PGIMER, ChandigarRemarks: Collaboration Area: Multidisciplinary
Remarks: Trasferred to: Trinity Microsystem
Title: Demand-Supply Prediction transferred to Ola1. | IoT System based Forecasting and Modeling Exceedance Probability and Return Period of Air Quality using Extreme Value Distribution |
2. | Single Point Conducted EMI Sensor with Intelligent Inference for Detecting IT Appliances |
3. | Studying surface and canopy layer urban heat island at micro-scale using multi-sensor data in geographic information systems |
4. | An Internet of Things System for Sensing, Analysis Forecasting Urban Air Quality |
5. | Predictive Modelling of In-Vehicle CO 2 Concentration Using Sensor Data Analytics |
6. | Face video based touchless blood pressure and heart rate estimation |
7. | Energy efficient EEG acquisition and reconstruction for a Wireless Body Area Network |