Gerhard Klimeck is the Director of the Network for Computational Nanotechnology at Purdue University and a Professor of Electrical and Computer Engineering. He guides the technical developments and strategies of nanoHUB.org which served over 167,000 users worldwide with on-line simulation, tutorials, and seminars in the year 2010. He was the Technical Group Supervisor of the High Performance Computing Group and a Principal Scientist at the NASA Jet Propulsion Laboratory. Previously he was a member of technical staff at the Central Research Lab of Texas Instruments where he served as manager and principal architect of the Nanoelectronic Modeling (NEMO 1-D) program. NEMO 1-D was the first quantitative simulation tool for resonant tunneling diodes and 1D heterostructures. At JPL and Purdue Gerhard developed the Nanoelectronic Modeling tool (NEMO 3-D ) for multimillion atom simulations. NEMO 3-D has been used to quantitatively model optical properties of self-assembled quantum dots, disordered Si/SiGe systems, and single impurities in Silicon. Both tools are based on the representation of the nanoelectronic device with atomistic empirical tight-binding. Quantitative device modeling was demonstrated without any material parameter adjustments, just by entry of geometrical structure parameters. At Purdue his group is developing a new simulation engines that combine the NEMO 1-D and NEMO 3-D capabilities into new codes entitled OMEN and NEMO5. Prof. Klimeck’s research interest is in the modeling of nanoelectronic devices, parallel cluster computing, and genetic algorithms. Dr. Klimeck received his Ph.D. in 1994 on Quantum Transport from Purdue University and his German electrical engineering degree in 1990 from Ruhr-University Bochum. Dr. Klimeck’s work is documented in over 160 peer-reviewed journal and 150 proceedings publications and over 160 invited and 330 contributed conference presentations. He is a fellow of the Institute of Physics, a senior member of IEEE and member of APS, HKN and TBP. NEMO 1-D was recently demonstrated to scale to 23,000 parallel processors, NEMO 3-D was demonstrated to scale to 8,192 processors, and OMEN was demonstrated to scale to 222.720 processors. More information about NEMO 1-D, NEMO 3-D, and OMEN can be found at their respective home pages.

Prof. Klimeck uses Linked-In to network professionally and Facebook to network with friends.