Jennifer Pazour, Assistant Professor of Industrial and Systems Engineering at Rensselaer, is the recipient of a 2017 Outstanding Recent Graduate Program from her undergraduate alma mater, South Dakota School of Mines and Technology.
ISE News and Events
The ISE Department welcomes Dr. Sérgio Pequito as an Assistant Professor starting on August 1. Sérgio obtained his Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University and InstitutoSuperior Técnico, through the CMU-Portugal program, in 2014. He received his B.Sc. and M.Sc. in Applied Mathematics from the Instituto SuperiorTécnico in 2007 and 2009, respectively. He was a postdoctoral researcher in General Robotics, Automation, Sensing & Perception Laboratory (GRASP lab) at University of Pennsylvania from 2014-2017.
RPI ISE Ph.D. student Aaron Rowen has accepted the American Society for Engineering Education (ASEE) Science, Mathematics, And Research for Transformation (SMART) fellowship. Aaron’s work will be sponsored by the US Navy’s Space and Naval Warfare Systems Command (SPAWAR).
The US Patent Number 9,655,564 titled Use of machine learning for classification of magneto cardiograms was granted on May 23, 2017 to Dr. Karsten Sternickel of Germany, Prof. Mark Embrechts of RPI (ISY) and Prof. Boleslaw Szymanski of RPI (NeST). The patent is for the use of machine learning for pattern recognition in magnetocardiography (MCG). Magnetocardiography measures magnetic fields emitted by the electrophysiological activity of the heart and does not involve any radiation.
To most Americans, the NSA is an organization shrouded in secrecy, where the most clandestine of operations are carried out in the name of national security. Dr. Thomas Willemain, successful software entrepreneur and statistics professor, spent the equivalent of three years alternating between his life “outside” and working “inside” at the NSA and an affiliated, shadowy think tank.Once inside, Dr. Willemain would be challenged to adjust to life in an intense, complex and sometimes alien organization, while also encountering brilliant and quirky colleagues, the moral challenges of wielding math and statistics as weapons, a charming (if kitschy) gift shop, and ultimately, some of the most rewarding time of his career.A deeply personal account of the years spent within the most secretive organization in the world, Working on the Dark Side of the Moon explores the range of emotions an outsider experiences while crossing over to the “inside.” It also shows the positive side of an Agency whose secrecy hides dedicated men and women devoted to protecting the country while honoring the Constitution.Tom will be book signing on September 28th 6 pm to 8 pm at the Book House in Stuyvesant Plaza.
Institute News
Professor Emily Liu, a condensed matter physicist and nuclear engineer, has been named head of the Department of Industrial and Systems Engineering (ISE) at Rensselaer Polytechnic Institute, the oldest and one of the most renowned technological research universities in the nation. Dr. Liu is professor of nuclear engineering and engineering physics and brings extensive experience leading and managing multidisciplinary research, including collaborations with engineers, scientists, economists, and psychologists.
Suvranu De, the J. Erik Jonsson ’22 Distinguished Professor of Engineering and head of the Department of Mechanical, Aerospace, and Nuclear Engineering (MANE) at Rensselaer Polytechnic Institute, has been selected to receive the 2022 ASME Edwin F. Church Medal.
People with type 2 diabetes who contract COVID-19 are nearly 50% more likely to wind up in intensive care if they have poorly managed their blood sugar levels over the long-term than those with better long-term glycemic control, according to a study using anonymized health care data.
Researchers have developed a new technique for revealing defects in nanostructured vanadium oxide, a widely used transition metal with many potential applications including electrochemical anodes, optical applications, and supercapacitors.
Materials and mechanical scientists are using machine learning to rapidly vet combinations of elements that could be used in next-generation environmental barrier coatings needed to protect vehicles traveling in the extreme conditions of aerospace and space environments. The project, led by researchers at Rensselaer Polytechnic Institute, is supported by the National Science Foundation.