Research Areas
PIIAM's areas of research and innovation:
Below are some of the areas of research the we are interested in at PIIAM. We are focused on investing our efforts in advancing ongoing innovation to help people capitalize on technological inventions while preserving the quality of daily living.
- Cyber Security and The Insider Threat - Autonomous Computing:
Neutralizing or mitigating the Insider Threat is a difficult task. It all comes down to the question of how we make sure that the people we entrusted with our infrastructure don’t harm the very systems they are supposed to protect. Insiders such as network engineers, system engineers, and database administrators have unfettered access to the systems that they manage. If such actors go rogue, they can use their power to inflict harm and great damage to the systems and the organization that the systems serve. In fact, the greatest threat to systems, data, and organizations, is posed by insiders. We believe that without the use of autonomous computing to make systems completely self-defending it will be truly hard to mitigate against the Insider Threat.
- The Internet of Things (IoT), Connected Devices, and Mobile Devices:
The Internet of Things (IoT) is growing at an extremely fast pace that the number of internet-connected devices being used today is more than 2 times the total number of the world population. These devices capture, record, and share information on people’s actions, preferences, and behavior instantly and continuously. The promise of what IoT can bring to people in terms of convenience, service, and increased productivity is based on a premise that is extremely invasive. PIIAM seeks to pursue IoT architectural models that inherently protect the security of IoT data and the privacy of the people using it.
- Digital Health:
The rapid proliferation and use of advanced information technologies, especially in the areas of connected devices and the Internet of Things (IoT), is fundamentally transforming traditional healthcare into what is referred to as Digital Health. Such transformation will radically alter the patient’s total experience and expectation. Digital Health will drastically change the way care is delivered and outcomes are managed. But the way patients respond to such a dramatic change will determine the success and speed of the transformation. Patients have to be willing to accept this new delivery of care and trust its validity. Doctors have to adapt to a new way of interacting with their patients and a new compensation model. Hospitals and insurance companies now have to find ways to cover the delivery of healthcare in a different manner and deal with a very different set of liabilities and coverage policies. New healthcare models have to be invented and tested to address all of these factors and concerns to ensure that the impact of Digital Health on the delivery of care is positive, productive, cost effective, and guarantees the patient’s privacy and safety.
- Wearable Technology and Wearable Medical Devices:
- Cloud Technology and Big Data:
- Artificial Intelligence and Machine Learning:
- Systems Engineering: Simulation, Modeling, and Recommender Systems