The institute has undertaken several projects, namely Kerala Education Grid, Karshaka Information Systems, Services And Networking (KISSAN), Computational Chemistry portal, AKM India and ILCI among others.

1.Karshaka Information Systems, Services And Networking (KISSAN)

2. KISSAN Krishideepam :The informative weekly television program : A weekly agricultural based television program, produced and telecast through a leading satellite channel (Asianet) and reaches more than 30 lakhs regular viewers. (Watch every Friday at 5.30 PM, Saturday at 8 AM through Asianet Satellite Channel and monday 5.30 PM through Asianet News channel). The project has completed the production and telecast of 363 weekly episodes during the last 8 years. More details about krishideepam.

3. Soil based Plant Nutrient Management Information System : A collaborative project of the Department of Agriculure, Govt. of Kerala implemented with the support of ICAR institutions, KAU, KFRI, CESS and IIITM-K. This one of the citizen centirc project of the department of Agriculture and the objective is to provide soil based dynamic nutrient advisory services to the farmers based on the soil condition. please visit for more details.

4.PLANSPACE (Online System for Progress Analysis and Concurrent Evaluation of State Plan Schemes). PLAN SPACE is a web based information system, which can monitor, review the periodical progress of plan projects and schemes under various departments and to make an effective reporting system and provides details of schemes by activity wise, spatial distribution and cost components wise. This is the first such system in the country where financial and physical progress of all the Departmental projects are being monitored online. More details visit

1.  Indian Languages Corpora Initiative (ILCI) Project.
Indian Language Corpora Initiative (ILCI) is a central Government project funded by Department of Information Technology (DIT), Government of India to provide a common language platform by creating a parallel annotated corpora in the tourism & health domain in 11 Indian languages with Hindi as the source language. The main objective of the project is to build an annotated parallel corpora (Hindi to Indian languages with English) with standards for 12 major Indian languages including English – 8 Indo Aryan languages (Hindi, Urdu, Punjabi, Bangla, Oriya, Guajarati, Marathi and Konkani) and 3 Dravidian languages (Tamil, Telugu, Malayalam) plus English in the domain of tourism and health.

2.   Indian Language to Indian Language Machine Translation(ILMT) Project .
The objectives of this project are twofold: A. Enhance the Sampark Indian Language Machine Translation System (ILMT) for real time, on line deployment over the web for general use. B. Identify specific user organization and integrate two of the Sampark MT System with their application in their workflow.

3.  Research on Localization and Adopting Open Standards in e-Governance (RLAOS).
The main objective of the RLAOS is to develop standards for ability to exchange the information. The project also focuses on adopting open standards and localization process by following W3C guideline to ensure interoperability between storage, display and access to service. Localization in Malayalam with UNICODE Standards: The Unicode standard is the universal character encoding standard used for representation of text for computer processing. It is fully compatible with the International Standard ISO/IEC 10646-1;1993. and contains all the same characters and encoding points as ISO/IEC 10646. Unicode provides a consistent way of encoding multilingual plain text and brings order to chaotic state of affairs that has made it difficult to exchange text files internationally. In Unicode the code points for Traditional Malayalam script and Reformed Malayalam script is same. So, the changing of script from Traditional to Reformed and vice-versa can be achieve simply by selecting the font name.Alphabetical sorting of Malayalam is 99% accurate in Unicode text.

4. ITRA – Micro Net Project (Media Lab Asia, DeitY, GoI)
Mobile Infrastructure for Coastal Region Offshore Communications & Networks-To design -Consortia project with Amrita, IIST and IIITM-K – To design low cost communication device for fisherman when they are in deep sea for communication – Role of IIITM-K is to design algorithms for information management and data classification and analysis

Web GIS based Soil information of Dharward District, Karnataka: 
Web GIS application to facilitate the dynamic web based visualization and analysis of spatially referenced Soil Health Information for Dharwad District of Karnataka. In a Web GIS application access and interaction with the dynamic geo-information is made possible over the Web. The Web GIS provides thematic information of Dharward District in a most user-friendly digital, context-sensitive map interface. The map navigation and information extraction is extremely easy by using mouse clicks. The themes used in the application are Soil health information (such as Boron, Zinc, Sulphur, Electrical Conductivity, pH, Potassium, Olsons Phosphorus, Organic Carbon), topography, satellite image,

Web GIS application for Integrated Watershed Management Programme  
The Integrated Watershed Management Programme (IWMP) is planned with an aim of integrated sustainable ecofriendly development of the rural areas of the country. The objective of the Integrated Watershed Management Programme (IWMP) is to attach locally available natural resources in an optimum manner to achieve the overall goal of sustainable development in the area. These objectives can be realized by conserving, protecting and restoring the ecological balance by developing natural resources and by preventing soil erosion, degradation of top soil cover, regeneration of natural vegetation, rain water harvesting and recharging of the ground water table. The programme also gives specific importance to the productivity enhancement of agriculture/horticulture/animal husbandry activities and innovative sustainable livelihood development of the community. The activities for resource development and usage is planned to promote farming and allied activities and also to promote local livelihoods while ensuring resource conservation and regeneration.

Design, Development and implementation of Web GIS based Land Resources Information system for Kerala ( 

Project funded by Kerala State Land Use Board, aims at developing an Open Access, Interactive Web GIS application developed with Open Source Technology, in order to make the spatial data accessible to Local level planning. The application features Spatial Querying and Overlays of various themes, Report Generation etc. The project is ongoing Since 2011 and is released district-wise. Completed Palakkad, Eranakulam, Kannur, Kottayam, Wayanad. Over 300 Panchayaths’ thematic data is covered under the project. Over 20 thematic layers, Local Self Goverments used to contact Kerala Land Use board for thematic data for formulating plans. The number of requests has been drastically reduced as LSGIs use Web-based solution.

Establishing an Advanced Center For Development and Promotion of Free and Open Source Software for GIS (Foss4gis), funded by Government of Kerala: 

The importance of open source arises from the need to share and reuse applications and data in order to decrease costs, the need to choose the best tool for the job, and the need for more people with less training to benefit from using data in more applications. At the same time, FOSS based Geospatial Information Management is at its infant stage in the State.

Establishing an R&D facility for Geographic Data Mining and Knowledge Discovery for integrated spatial planning for Kerala, funded by Government of Kerala: 
The project aims at applying Data mining and Knowledge Discovery principles to investigate and extract hidden and meaningful spatial patterns with thematic associations. This results in a new information set for addressing lot many Geographical problems that are otherwise difficult to study using conventional superficial spatial querying.

Mobile Computing for Geospatial Applications: 

Mobile Computing extends the traditional indoor GIS manipulation to the outdoor work and provides a mobile outdoor operation platform for field surveyors to collect, modify, and measure the spatial data, through mobile devices via wireless networks in an easy and effective way. By integrating GIS and GPS technologies, data collection, orientation, map display and waypoint guidance can be done effectively. More accurate data can be collected using mobile handheld devices.

Design, Development and implementation of an Enterprise Geographical Information system for Kerala: 
The Project funded by Kerala State Land Use Board, aims to set up a spatial database of Legislative Assembly Constituencies and design and develop a Web GIS application to access the spatial information interactively. The geographical boundaries of the Legislative Assembly Constituencies of Kerala have been changed after delimitation. To take up developmental activities and infrastructure improvement, current status of database is inevitable.

Web GIS Based Disease Mapping for Animal Husbandry Department: 

An interactive Web GIS application for monitoring the livestock diseases at the Hospital level. This involves Design and development of prototype application for capturing, managing Farmer level. This will involve the mapping of all the farmers in a selected Panchayath. Eventually, a Spatial Decision Support System for disease modeling will be developed and deployed.

Web GIS for soil fertility mapping and fertilizer recommendation system for rubber growing regions (Collaborative project between RRII and IIITMK):

Site-specific nutrient management (considering spatial variability in soil nutrient status) is more efficient to prevent over, under or imbalanced manuring than the conventional approach of general fertilizer recommendation ignoring the spatial variability. Fertilizers are expensive and their indiscriminate use can damage soil health. Most of the fertilizers used in agriculture are non-renewable. Their judicious use is very important for obvious economic and environmental reasons. The project aims at developing an intuitive spatial platform for generating dynamic and site-specific fertilizer recommendation for Rubber cultivators.

Capacity Building and Development of online Courses on Cyber Security, Malware Detection and Penetration Testing – funded by State Planning Board

The broad objectives of the project are to train security officers, auditors, security professionals, systems administrators, faculty members working with various departments/organizations to acquire international certification; to get exposed to the current issues of cyber security and to enhance the effectiveness of e-Governance programmes by integrating state-of the-art technologies and management. Under the project, institute has developed a cyber security lab with 35 nodes. The lab is extensively used by the delegates of training program and students of Master of Science in Computer Science and Information Security.

Information Security Education and Awareness [ISEA] – Phase II – funded by Department of Electronics and Information Technology, Government of India

It’s a consortia project consisting of three Information Security Research and Development Centres [ISRDC], six Resource Centres [RC], forty Participating Institutions and sixteen Implementing Agencies. IIITM-K is the Participating Institution. These participating Institutions would be conducting faculty development training programmes for the engineering colleges and other colleges in their region. These colleges can then in turn introduce Information Security curriculum in their B.Tech. and M.Tech. courses. This would yield large no. of B Tech / M Tech students and faculty getting trained in Information Security area. This would also provide the opportunity to the affiliated engineering colleges to have access/exposure to the research aspects which are obtaining in the ISRDCs/RCs. This could also provide an avenue for the faculty members of these colleges to move toward obtaining PhD in Information Security area.

Development and Validation of Signal Processing Techniques for Time-Constrained Magnetic Resonance Imaging (DST SR/S3/EECE/0107/2012)
The objective is to enhance the contrast in MR image when the acquisition time is constrained to be limited in comparison to those of available MR sequences. Harmonic retrieval methods will be used for synthesizing the k-space from sparsely sampled and incompletely acquired spin/gradient echo signal. A significant outcome is the development of a partial-echo sequence, in which the acquisition time per RF pulse application can be limited to 1.2-1.5TE for both spin and gradient echo sequences. A linear prediction-based algorithm embodies the principle underlying the possibility of recovering anatomical details of the proposed partial-echo sequence. Prior to clinical trials, the prototypical sequence and the associated image reconstruction method will be validated using an MR simulator, and anatomically realistic simulated data sets. The remainder of outcomes is related to clinical applications involving brain lesion identification and fat-water separation using the proposed partial-echo sequence.

Signal Processing for Rapid and Partial Echo-Planar Acquisition in Magnetic Resonance Imaging of Neural Ischemic Stroke (ETP/18/2013/KSCSTE)
Diffusion-weighted MRI (DWI) and Fluid Attenuated Inversion Recovery (FLAIR) form a combinational approach in the investigation of stroke imaging. DWI derived measures are used to detect the infarcted brain tissue and FLAIR images are used to detect regions with edema. Of these, the DWI employs Echo-Planar Imaging (EPI) type of acquisition in which the entire k-space is scanned with a single RF pulse, followed by echoes whose amplitudes are modulated in accordance with the distance from the k-space center. EPI data have inherently low Signal-to-Noise Ratio (SNR). In situations where only partial echoes are acquired, the low SNR of EPI data can further result in loss of fine structural details. In the case of rapid scanning, echo truncation in EPI will need extra processing to restore the lost information. Our method to investigate the incomplete (partial) acquisition of EPI and bring out corrective filtering steps to improve quantitative stroke imaging. The key research components include development of spatial and k-space filters for elimination of truncation artefacts, enhancement and restoration of features in the magnitude image reconstructed from partial k-space of EPI data. As compared to other multi-pulse sequences, the filters required for restoration of partially acquired EPI are to be tailored for operation under low SNR conditions. A novel aspect of the current proposal is the elimination of the need for acquiring a major fraction of the echoes in the dephasing period.

Quantifying the amount of digital information that exists in the world is hard. What is clear is that there is an awful lot of it, and it is growing at a terrific rate. Modern day businesses is not an exception; it accumulates an astonishing amount of digital data, which may be leveraged to unlock new sources of economic value or to provide fresh insights into business trends. The real challenge in this process is the design of computing, storage infrastructures and algorithms needed to handle this “big data” problem. Web being the largest collection of digital data, internet companies have contributed several exceptional technologies to efficiently handle this issue. Data Engineering Lab thrives around this exciting but challenging opportunity.We provide training, consultancy and research services in the areas of Data Engineering, Data Analytics, Big Data Management and Machine Learning.

Biometric Embedded System & Internet of Embedded Thing
The project aims to setup a facility for research and training in the area of intelligent embedded systems/Internet of Things(IoT). Under this project two laboratory facilities namely Data Engineering Lab and IoT lab is being setup at IIITM-K. These labs currently cater to Two PhD students and Six master level students. The lab has developed an intelligent embedded hardware prototype for flow control in irrigation systems. Three specialized workshops/outreach programs were also conducted under this project. The project is funded by Planning Board.

Inter Disciplinary Centre for Excellence in MI
The project aims to setup an Inter-disciplinary Center for Excellence in Applied Machine Intelligence and Pattern Analysis. The center will provide training and research services in the area of Machine Intelligence and Pattern Analysis. In this direction, the centre has already conducted four specialized workshops/outreach programs and has produced five publications in internationally recognized journals/conferences.

Cloud Based Object Recognition System for Visually Impaired Students
The project aims to develop a cloud based system to train visually impaired school children to effectively identify and memorize different types of objects which are used in our daily life. The software tool assists the children to confirm that the sensory input received through touch and the decision taken based on it perfectly matches the exact object. The proposed system utilises very complex image and audio processing techniques. All children especially visually impaired, love to sing and mimic what they hear. Visually impaired children demonstrate significant interest in everyday sounds compared to children with normal sight. In this system, every object is represented as a unique music note. If a child fails to identify an object, the system after automatically identifying the object generates a musical note corresponding to the object. Thus, the student can easily memorize and recollect the object whenever the system plays the same music again. The proposed system will be made available in a cloud computing environment. Thus, the tool can be accessed from anywhere with an Internet connection.

iMVCTS – An Intelligent System for Tracking Missing and Vulnerable Children
The Project proposes an advanced tracking system for missing and vulnerable children. The project also aims to develop an automatic recognition of sighted or rescued child in order to bring them back to their parents. The system collects various details such as images, audio & video samples, biometric details, position details, scanned documents etc… for reducing the search over database and for most accurate results. When a child is rescued from an abuse, the next task is to find their parents. Usually the child is forced to stay in child care homes because existing systems are not giving much importance to identify the rescued child. It is not practical to find a match of the rescued child with the reported missing cases by manual analysis, if the database is too high. This difficulty can be reduced with the proposed system which employs an automated computer aided searching and analysis. This is possible by incorporating cloud computing, big data mining and, complex image and video processing techniques.