News & Events

NEWS LOBPCG method of Andrew Knyazev used on the K computer in Japan for superconductivity research
Date: March 20, 2018
Where: Asian Conference on Supercomputing Frontiers
Brief
- RIKEN is Japan's largest comprehensive research institution. The RIKEN Center for Computational Science (R-CCS) is the leadership research center in high performance computing and computational science in Japan, operating the K computer in Kobe, Japan, which achieves 602.7 teraflops on the High Performance Gradients (HPCG), making it the world HPCG top.
  
  R-CCS researchers and collaborators in their new paper use the Hubbard model for strongly-correlated electron systems to understand the mechanism behind the superconductivity. To calculate the ground state of the Hamiltonian, they implement on the K computer and successfully test the Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG) method, invented in 2001 by Andrew Knyazev; see his recent review of LOBPCG.
NEWS Andrew Knyazev (MERL) presents at WPI SIAM Industry Speaker Series about his career path
Date: April 19, 2018
Where: Room 202 Stratton Hall Worcester Polytechnic Institute
Brief
- Andrew Knyazev, Distinguished Research Scientist of MERL, has accepted an invitation to speak at the Worcester Polytechnic Institute (WPI) chapter of the Society for Industrial and Applied Mathematics (SIAM) located in Worcester, MA, at a series of industry speakers about different career paths for applied mathematicians.
  
  Andrew Knyazev studied at the Department of Computational Mathematics and Cybernetics of the Moscow State University in 1976-1981. He obtained PhD Degree in Numerical Mathematics at the Russian Academy of Sciences (RAS) in 1985. Knyazev worked at the Kurchatov Institute in 1981-1983 and at the Institute of Numerical Mathematics RAS in 1983-1992, where he collaborated with Academician Bakhvalov (Erdos number 3 via Kantorovich) on numerical methods for homogenization. In 1993-1994, Knyazev held a visiting position at the Courant Institute of Mathematical Sciences of New York University. From 1994 and until retirement in 2014, he was a Professor of Mathematics at the University of Colorado Denver (CU Denver), supported by many grants from the National Science Foundation and the United States Department of Energy. He was awarded the title of CU Denver Professor Emeritus and named the SIAM Fellow in 2016. During his 30 years in the academy, Knyazev supervised 7 PhD students. He is best known for his Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG) eigenvalue solver. In 2012, Knyazev starts his industrial research career joining Mitsubishi Electric Research Laboratories (MERL) in Cambridge, MA, where he invents and develops algorithms for control, machine learning, data sciences, computer vision, coding, communications, material sciences, and signal processing, having 11 US patent applications filed (6 issued, 5 pending) and over 20 papers published.
EVENT Society for Industrial and Applied Mathematics panel for students on careers in industry
Date & Time: Monday, July 10, 2017; 6:15 PM - 7:15 PM
Location: David Lawrence Convention Center, Pittsburgh PA
Speaker: Andrew Knyazev and other panelists, MERL
Brief
- Andrew Knyazev accepted an invitation to represent MERL at the panel on Student Careers in Business, Industry and Government at the annual meeting of the Society for Industrial and Applied Mathematics (SIAM).
  
  The format consists of a five minute introduction by each of the panelists covering their background and an overview of the mathematical and computational challenges at their organization. The introductions will be followed by questions from the students.
EVENT MERL to participate in Xconomy Forum on AI & Robotics
Date & Time: Tuesday, March 28, 2017; 1:30 - 5:30PM
Location: Google (355 Main St., 5th Floor, Cambridge MA)
MERL Contacts: Daniel N. Nikovski; Anthony Vetro; Jinyun Zhang
Brief
- How will AI and robotics reshape the economy and create new opportunities (and challenges) across industries? Who are the hottest companies that will compete with the likes of Google, Amazon, and Uber to create the future? And what are New England innovators doing to strengthen the local cluster and help lead the national discussion?
  
  MERL will be participating in Xconomy's third annual conference on AI and robotics in Boston to address these questions. MERL President & CEO, Dick Waters, will be on a panel discussing the status and future of self-driving vehicles. Lab members will also be on hand demonstrate and discuss recent advances AI and robotics technology.
  
  The agenda and registration for the event can be found online: https://xconomyforum85.eventbrite.com.
EVENT MERL participates in SIAM Career fair
Date & Time: Monday, July 11, 2016; 10 AM - 9:15 PM
Location: Westin Boston Waterfront Pavilion, Boston, Massachusetts
MERL Contacts: Matthew Brand; Arvind Raghunathan
Brief
- MERL researchers participate in SIAM Job fair to showcase MERL's research and highlight employment and intern opportunities at MERL. The Career Fair emphasizes careers in business, industry, and government, and takes place during the SIAM Annual Meeting.
  
  The SIAM Applied Mathematics and Computational Science Career Fair is an informational and interactive event at which employers and prospective employees can discuss careers. It is a great opportunity for prospective employees to meet government and industry representatives and discuss what they are looking for and what each employer has to offer.