The Department laboratory at the University of Kerala is grounded in scientific methods, evidence, and knowledge acquisition which encompasses a wide range of technologies marked timely. We have a national/international reputation for contributions in many fields of computing, both in foundations and applications.
The Computing Laboratory brings together the students and scholars who are interested in developing and enhancing scientific needs for portraying their role in all the disciplines under their academia.
Modern laboratory facilities are crucial for a Computer Science department to provide comprehensive education and research opportunities. These labs not only support curriculum-based learning but also encourage innovation and real-world problem-solving, preparing students for careers in technology and computing industries.
Our laboratories centers on the following areas:
Laboratory curriculum is based on scientific principles and also adheres to ethical guidelines to support academic learning, research, and practical training in order to provide students with hands-on experience in the fields of, Computing, Programming, Artificial Intelligence, Cyber security and so on. Below is an overview of the essential laboratory facilities in the department.
Specialized labs
Specialized labs in the department allows for the students who have taken specializations as part of their curriculum in order to acquire profound knowledge in technologies which they are interested to learn and contribute. It also supports research and project development in all fields of computing.
A learning space for post graduate students to explore.. This lab is designed to support PG program courses and related software developments. It is equipped with high-performance computers, multiple programming environments, and IDEs (Integrated Development Environments) such as, Jupiter, Eclipse, Spyder and PyCharm etc incorporated with database management systems such as MySQL, PostgreSQL, and MongoDB. The lab facilitates coding in various programming languages like C, C++, Java, Python, and more. Our curriculum permits students to choose programs of course that can deliver intense focus on the core aspects of computing science and explorations of interdisciplinary connections with other fields. It provides an environment for students to learn about various technologies and hands on experience to the latest measures which are equipped with 24*7 intranet systems. It includes different software tools to enhance practical learning in all the fields of scientific computing.
Students use this lab to develop, test, and analyze image computing applications. The lab is equipped with tools which focus on image processing, computer vision, and pattern recognition. It is equipped with high-performance computing systems, image analysis software, and AI-powered tools like OpenCV and MATLAB. Students work on projects involving image enhancement, object detection, medical imaging, and facial recognition systems.
Methodologies based on Neuro-Fuzzy Techniques and Genetic Algorithms for Modeling and Control of Systems.Fractal Analysis of Atmosphere and Astrophysical Data & Image.Performance Analysis of Data and Image Compression Using Fractal and Wavelet Methods.Image Processing Techniques for Biodiversity Conservations
We at MIR don't limit ourselves to learning about the newest technological innovations worldwide; we are actively involved in the innovation process ourselves. The sheer number of technical articles the members produce annually, and the number of copyrights and patents we filed annually is a testimonial to this fact. Our members are invited to give expert sessions annually in India and internationally. MIR group also has veterans from Symbolic and sub-symbolic machine learning algorithms, Nature-inspired optimization algorithms, and Multinomial logistic regression techniques. The recently popular areas of technological development are also passionate fields of interest for members of the MIR group. Here at MIR, we learn together. We encourage interactive discussions and celebrate individual ideas rather than a stereotypical group activity. We promote T-shaped learning at MIR, because we uphold the importance of having more profound expertise in your areas of interest. We firmly believe that no scientific creation is beyond the scope of our dreams, hard work, dedication, and commitment. We make things happen..!!
What happens when machines become more intelligent than humans? Humans steer the future, not because we are the strongest or the fastest species on this planet, but because we are the smartest. When machines become more intelligent than humans, why not hand them the responsibility? The machine learning field is continuously evolving. Along with evolution comes a rise in demand and importance. We at the MIR group make machines more intelligent, but we ensure our creations always positively impact future generations. We are providing expertise to the academia and industries.
The new focus of the MIR group is Nature-inspired algorithms in the engineering optimization domain. This method works by studying how several phenomena occur and using that knowledge to solve problems and develop new computing methods. This group involved unique expertise in swarm intelligence, bioinspired, and evolutionary algorithms. The MIR group has developed and filed several IPRs for new nature-inspired algorithms. It offers expert classes and consultancies in the fields of interest to industries, education institutions, and research organizations.
The future of machine learning is tremendously exciting, and the application of machine learning power in almost every domain, like healthcare, search engines, digital marketing, and education. We at MIR are many people from diverse workplaces, namely research institutes, industry, and educational institutions, who all came together to work towards a single goal: Machine learning. The members of this group are currently working on several machine learning applications, Analogical modelling, Probably approximately correct learning, Ripple-down rules and knowledge acquisition methodology.
Machine Intelligence Research Group is an academic consortium focused on innovation and research excellence. The group comprises several leading academicians and scientists from various organisations in and around Kerala's capital.
The AI Laboratory is dedicated to exploring innovative methodologies for addressing research challenges through the integration of the Internet of Things (IoT) and Machine Learning. Real-time data acquisition from various sensors and cameras facilitates the development of advanced applications by students utilizing Raspberry Pi. Through this platform, students engage in the design and implementation of applications across diverse domains, including home automation and surveillance. By incorporating sophisticated artificial intelligence techniques such as Machine Learning, Deep Learning, Neural Networks, Fuzzy Logic, Natural Language Processing, and Genetic Algorithms. M.Tech students enhance the efficiency and intelligence of their solutions, contributing to advancements in the field of AI-driven systems.
The A.I Lab explores new ways of solving research problems by applying advanced AI techniques using machine learning,deep learning,neural networks,fuzzy logic,natural language processing,knowledge representation and reasoning and genetic algorithms.
This lab is designed for hands-on work with microcontrollers, IoT devices, and embedded systems. It includes Raspberry Pi, Arduino kits, and various sensors to develop projects related to smart devices, automation, and robotics.
The Centre for Data Science and Information Processing (CDSIP) is an initiative of the University of Kerala for enriching research and development activities in Data Science and allied domains. The Centre has been equipped with high-performance computing facilities for processing huge volumes of data of any kind, and that can be utilized for in-depth research in data analysis and information processing for decision support and social enrichment. It provides valuable insights to government bodies and other organizations, aiding in the effective planning and implementation of various policies and schemes. Beyond research, CDSIP actively engages students and researchers through workshops and seminars to equip them with the latest skills and knowledge in data science and artificial intelligence, enhancing their ability to apply these techniques to real-world problems. With advancements in Machine Learning and Artificial Intelligence, the center aims to contribute innovative research solutions in the future. We look forward to establishing active collaborations with industry, academia, national and international institutes for research and development.
Our campuses are 24x7 Wi-Fi enabled. The University has finished installing High Speed Wireless Networking in both the Kariavattom and Senate House Campuses. This has facilitated the completion of the E-governance programme being implemented in the University. Both the campuses are networked in an effective manner by taking into account the future developments in the field of technology and communication. University employees, students, and guests will have shared access to wireless network resources to support the University's mission of teaching, research, and outreach. Those who wish to connect to the campus network with a laptop or other wireless device can use the wireless network infrastructure that is owned by and centrally managed by Computer Centre.
The Department has a fully computerized Library with more than five thousand titles in Computer Science and allied areas. The main objective of this library is to represent itself as the most effective learning resource centre to cater the needs of the PG students, Research Scholars, Faculty members and other Technical staffs of the Department. The library also created a conductive learning environment by establishing a web based Online Public Access Catalog (OPAC), an Institutional Repository (IR), and a free and easy access to high quality electronic resources subscribed by the University through the Campus network. A web based information system is developed for managing the non-textual documents of the Department like thesis, dissertations, seminar reports, project reports, negotiated study reports etc. The Subscription of various research resources like ACM Digital Library, IEEE, etc supports the research students within the Department other sister Departments. Library is open from 9.30 am to 4.30 pm on weekdays.
Campus library
Campus Library is situated at Kariavattom campus. It was started in 1976 mainly to extend the library facilities to the campus community. It was envisaged as a reference collection initially stocking important reference books and textbooks prescribed for the various courses and materials useful for research scholars with a view to supplement the library resources of the departments. The selection, ordering and technical processing of the documents are carried out by the library independently and it has its own budget allocation. Still it continues to be a reference library and was put in charge of controlling the campus LAN. In addition to the reference facility, the library provides reprographic, internet and UGC-Infonet E-Journal services. The space constraint which was the main hurdle in the development of the library is over with the commissioning of the two storied new building with an area of 1238 sq.m in 2006. It has a modest collection of over 7000 books and subscribes to over 60 periodicals.
TThe University provides hostels to residential students (both - boys and girls). There are six hostels functioning under University of Kerala at KariavattomCampus and at Thycaud, Thiruvananthapuram. Men’s (PG & Research- 2 nos) and Women’s (Two PG & One Research) Hostels at Kariavattom Campus and one Women’s hostel at Vazhuthacaud. The hostel provides admission to UG/PG/Research students. The admissions to hostels in Kariavattom Campus shall be restricted to students from University Departments and in Women’s hostel, Thycaud shall be given to students of Government colleges ranging from degree to research levels. Click Here...