IBM Haifa Research
No matter where discovery takes place, IBM researchers push the boundaries of science, technology and business to make the world work better. IBM holds a leadership position when it comes to the creation, development and manufacture of the industry's most advanced information technologies, including computer systems, software, networking systems, storage devices and microelectronics. IBM participates in and contributes to the work of standards consortia, alliances, and formal national and international standards organizations. Where appropriate, IBM adopts consensus technologies in order to maintain openness, interoperability, and application portability.
IBM Israel Science and Technology Limited, better known as IBM Research – Haifa (HRL), was first established in 1972. Since then, the lab has conducted decades of research vital to IBM’s success. The lab is one of 9 research laboratories located outside of the United States, and has close working relationships with IBM Israel and its twin research laboratory in Zurich. In Haifa, 75 percent of the technical staff have MSc or PhD degrees in computer science, electrical engineering, mathematics, or related fields. Employees are actively involved in teaching at Israeli higher education institutions and in supervising post-graduate theses.
R&D projects are being executed at IBM Research – Haifa today in areas such as cloud computing, Big Data analytics, cognitive computing, IoT and mobile platforms, healthcare informatics, security, quality and verification, object storage, and more.
The lab has three departments:
The Cognitive Analytics and Solutions department develops advanced cognitive computing analytics techniques, explores the human aspects of cognitive computing and develops innovative solutions for various industries. The department specializes in handling data of all types, ranging from traditional structured data to semi-structured data, such as logs, text data, social networks, audio, images and video. In particular, the department develops novel analytic solutions to extract insight from this data and to augment human cognition in a variety of domains including healthcare, life science, telco, commerce, and enterprise knowledge management.
The Computing as a Service department targets the transformation of IT through cloud computing, while leveraging skills in quality, security, storage, systems, and software-defined environments. A key focus direction for the department is the emerging field of cloud computing and the areas of virtualization, networking, systems management, and storage. In support of this direction, we leverage Open Source projects such as OpenStack, Open DayLight and KVM. The department pioneered and lead several EU Cloud projects including Reservoir (Cloud Federation), VISION Cloud (Advanced Object Stores), and FI-WARE (Advanced OpenStack based Clouds). In the area of technologies and tools for software quality and code optimization, the team pioneered and led related EU projects, including FITTEST, CloudWave and HIPEAC network of excellence. Another strategic direction of the department is the area of quality and security. The department applies various techniques in software analysis, constraint satisfaction, formal methods, machine learning, and knowledge representation to create a wide set of security and quality related solutions. In the domain of hardware verification, we develop advanced tools and technologies spanning the entire spectrum of dynamic and static functional verification, including solutions for high-end designs focusing on the verification of micro-processors, multi-processor designs, and large systems. Lastly, we have significant activity in analog and mixed-signal designs, targeting technologies such as E-Band communication and THz Imaging.
The Mobile and Industry Solutions department focuses on thought leadership in product, solutions delivery, and strategy in the areas of mobile platforms and tools. Our activities include rapid application development tools, wearable computing, cloud middleware (availability and scale), IoT technologies, location services, operational decision management and event processing, spatiotemporal visual analytics, system engineering methods and tools, operations research (e.g., water management) across industries such as aerospace and defense, and healthcare.
Role in the project:
IBM will lead the work on customizing their anomaly detection technology to operate over the FINSEC security models, targeting infrastructures like ATMs, building parameters, networking infrastructures, data centers and more. IBM will provide expertise in anomaly detection technology to the financial domain and the use-cases of the project and in dynamically adaptable granularity of data collection as well as local initial processing and aggregation to reduce the amount of monitoring traffic in the system.