Networked Embedded Systems for development of assistive devices
A lot of difficulties appear in old age where it becomes difficult for them to perform day to day life. A large proportion of children and adult also face disabilities in their life time. Some may be congenital and some acquired after certain accident or injuries. We need to understand the need of elderly and physically disabled people. The aim is to improve their quality of life and assist them carry out their day to day life activities. Along with physical they may also face neurological and psychological disorders. We need to address factors such as Physical Security, Medical Emergency, Communication Needs etc of the Elderly and Persons with Disability.
Networked Embedded Systems were used to develop a number of assistive devices based on body, brainwave and touch sensor to help persons with severe disability. We could use hand gesture to control surrounding objects like TV, Light, Fan, Computer etc for those with restricted finger movement. We used various possible ways of taking inputs from body as well as brain. Our work of assistive technology based on brain computer interface, created a new set of possibility to provide means of communication and other functionality to those with loss of movement of limbs as well as voice. We were able help those with learning disability as well as those in vegetative state. We developed software to use touch screen based tablets to help many children with autism and other cognitive behavioural disorders to communicate, control environment and learn.
Besides, there lies immense scope for Collaboration in these areas.
Owing to the growing needs and the importance of advancement of in the areas of space research we are in the process of developing drones for Precision Agriculture, Environmental Monitoring, Forestry, Oil and Gas, Oceanography, Infrastructure Monitoring, Transportation and Logistics, Security, Events etc
Another area of focus would be the development of Satellites like NanoSat, PicoSat, FemtoSat
Outer Space Technology Lunar Rover, Lunar Habitat and Exploration
Some of the key areas of research in the Center for Advanced Manufacturing include the Development of Additive Manufacturing (3D printing) for applications in several areas such as Prototype development, Technology Development Materials in the fields of Engineering, Architecture, Design, Fine Arts.
Involves Hydroponic, Aeroponic and Aquaponic Wheat Grass for Juice Production Vertical Farming
Education and Training Technology
Develop Content based on Virtual and Augmented Reality for education and skill development
Adaptive Learning Technique backed by Artificial Intelligence Distance learning technology
Precision Medicine and Healthcare Research
Precision Medicine and Healthcare Research involves research on the holistic system of medicine and functional medicine. The focus is on patient centered care. In view of this some areas of research become very vital such as the gut microbe analysis, the leaky gut, Internal cleanse and detoxification processes. The treatment strategies include treating deficiencies and functional nutrition.
The aim is to Combine them with AI systems for future healthcare, for example Artificial Intelligence for Personalized medicine and healthcare.
Brain Computer Interface and Artificial Intelligence
To aim is to develop BCI based systems and Artificial Intelligence (AI) technology for several applications. Make use of neurosynaptic chips based applications for Audio and Visual Recognition
Control and Automation
This field is a bridge among Mechanical, Electrical, Computer Science and other engineering domains. After a substantial progress in the area the emergence of Mechatronics Engineering has been reported. The research in the Control and automation deals with system design, system dynamics, stability analysis, controller design, modellng of the systems. The viewpoint for systems is through mathematical models. At DYPIU we have high end interdisciplinary domains like Artificial Intelligence and Machine Learning, Robotics & AI, which holds the cutting edge developments of control and automation. This strengthen the possibilities of quality research in control and automation.
Some key sub sreas of control and automation are as follows: Robust Control, Biological Systems, Finite Element Method, Reinforcement Learning Control, Approximate Dynamic Programming, Simulation and Control, Model Order Reduction, Cyber Physical Systems, Guidance and control, Dynamical systems, Intelligent control, Robotics, Sliding mode control, Nonlinear Control, Computational Methods for modelling, Mechatronics, Discrete Time Systems, Differential Games, Distributed Parameter Systems, Adaptive Control of uncertain Nonlinear systems, System Identification.
The research in these areas, and sub areas of control and automation requires a good understanding of mathematics. Having a good hand at programming is a plus. The work combines the ample amount of theoretical and practical exposure.
Image and Pattern Recognition
The research area basically focus on different image processing and computer vision application on various aspect of practical day to day problem. One interesting problem is remote aerial imaging technique which can be used for surveillance purpose. Moreover, it deals with on the LTAP (lighter than air platform) mounted different imaging device (optical, IR, NIR) to detect and classify objects.
The imaging project can be extended to mapping and robotic odometry for virtual reality or augmented reality. In this case, the robot can be taught the different emotions which are been detected and learned by gesture and emotion recognition.
The other current scenario, in the era of Instagram and facebook, the world of ‘image’ is providing more data than text. Hence, text mining is gradually been replace by image and acoustic mining. This surveillance process could be useful detect one area of interest from some short video which contain a number of image frames and sound.
Human Resource Management
The Human resource industry is undergoing a major innovative change from last five years. The way of working and the technical data have collaborated to shape the human resources of an organization. Virtual Reality, Conversational platforms, and Augmented Reality is supposed to provide immersive and natural interactions with the digital world.
Therefore the upcoming areas of research will include :
For instance, the HR needs the technology and digital app tool that connect the people to each other seriously and emotionally. It does not isolate people for the specific six hours timing in the office.
The digitalization age has skilfully shifted the concentration from the employee’s engagement to the employee’s experiences at the workplace. The world leaders are shifting their emphasis on the core ecosystem and dimensions like company culture, engagement, and managing of the performance.
The rise in the people analytics is growing as companies are moving from the back office data of the warehouses to the advanced people analytics. The organizations have also moved from the reporting through the dashboards to the predictive models.
Organizational Network Analysis
To find the specialized skills and people for the contractual work the HR uses varied channels to post jobs and hire the pool of talent. There are mainly two markets involved in hiring the contingent workforce:
Wave of augmented reality and virtual realityAccording to Bersin by Deloitte founder, Josh Bersin the VR and AR are emerging as the hottest trends in the HR tech market. It supports performance and learning market for the organizational staff.The giants like BlackBerry, Google Glass, Lenovo and other popular hardware manufacturers are plunging into Augmented Reality. They can now easily complement the process of manufacturing and replace kinds of training in their organizations.For an example, the VR technology can help the HR in the improvement of the underestimated onboard experience. AR can help to train the staff in the virtual environment that will prove cost-effective. The employees can engage themselves in various office activities and learn in a better way.
Previously, the focus of the HR department was on automation and integration of Human Resource practices. For example, they included the record keeping, resume capture, performance appraisal, compensation, interview and hiring, assessment of employees, etc.
Nowadays, companies are getting very little credit for the automation process (though they are important too) but the payroll vendors and the HRMS that are cloud-based carry it out. Moreover, the research by the High-Impact HR shows that nearly 45% of the companies still focus on a basic automation process.
The HIHR now discusses the bigger topic that is productivity. The productivity can be increased in a better way through
Optimal usage of the potential of the hired employees
Considering HR or People Analytics
Focus on team-centric companies
The only challenge in front of the HR is to sort out the issues related to employee’s engagement, focus, and burnouts. Even HR needs to engage the varied communication tools in order to deal with messages and the E-mails. For example, to increase the productivity of employees, one can use digital platforms like mobile apps, social media, AI, etc.
Organization can have learning management systems that will help to check and track employees learning process accurately, and also help to promote collaboration between various departments in the company.
Generations in the Workplace
More baby boomers are retiring, while more of Generation Z is entering the workforce. This can be very important when considering human resource development practices. Gen Z values very different things than the boomer generation, and so workforce policies will need to reflect that if they want to attract and recruit talent. Generation Z are now the driving force behind change in the workplace.
The HR must use intelligent tools and the emerging technologies that are based on the conversational and cognitive systems. For the greater work experience of the employees, the pulse survey and feedback will play an important role.
There is a need of progressive research in the realm if Human Resource Management for Future companies engaging in Future Technologies