IEEE EMCεδ`v^Distinguished Lectureruο ϊF 2015N1210ϊ(Ψ) 15:30`17:00 οκF kεw TCo[TCGXZ^[ εοcΊiTKj iεδsΒtζrͺΒtU|Rj utEθF Professor Ramachandra Achar (Carleton University, USA) "Demystifying Signal Integrity in High-Speed Designs" εΓF IEEE EMC Society Sendai Chapter €ΓF kεwEMCεδ[~i[ uΰeF With the increasing demands for higher signal speeds coupled with the need for decreasing feature sizes, signal integrity effects such as delay, distortion, reflections, crosstalk, ground bounce and electromagnetic interference have become the dominant factors limiting the performance of high-speed systems. These effects can be diverse and can seriously impact the design performance at all hierarchical levels including integrated circuits, printed circuit boards, multi-chip modules and backplanes. If not considered during the design stage, signal integrity effects can cause failed designs. Since extra iterations in the design cycle are costly, accurate prediction of these effects is a necessity in high-speed designs. Consequently, preserving signal integrity has become one of the most challenging tasks facing designers of modern multifunction and miniature electronic circuits and systems. This talk provides a comprehensive approach for understanding the multidisciplinary problem of signal integrity: issues/modeling/analysis in high-speed designs. utͺπF Dr. Achar currently is a professor in the department of electronics engineering at Carleton University. Prior to joining Carleton university faculty (2000), he served in various capacities in leading research labs, including T. J. Watson Research Center, IBM, New York (1995), Larsen and Toubro Engineers Ltd., Mysore (1992), Central Electronics Engineering Research Institute, Pilani, India (1992) and Indian Institute of Science, Bangalore, India (1990). His research interests include signal/power integrity analysis, EMC/EMI analysis, circuit simulation, parallel and numerical algorithms, microwave/RF algorithms, modeling/simulation methodologies for sustainable and renewable energy, and mixed-domain analysis.