Power Consumption Prediction based on Statistical Learning Techniques - David...Data Science Milan
Early power estimation is a critical requirement for both SoC (system-on-chip) architects and marketing, which must provide competitive, yet realistic, power consumption RFQs (request for quotation) to customers in order to achieve design wins. RFQs based on deterministic techniques may work reasonably well when there is enough information, and the available data closely match the target design. However, this approach can be strongly design dependent, and the same model, which provided a good estimate on one design/technology, may fail on another design/technology with different specs and operating conditions. In this talk, we will present an innovative approach for early power consumption estimation based on statistical learning. The proposed statistical model has been compared against existing RFQs, and validated on two taped-out products for networking in leading-edge CMOS technology.
Davide Pandini holds a Laurea Degree (Summa cum Laude) in Electronics Engineering from the University of Bologna, Italy, a Ph.D. in Electrical Engineering and Telecommunications from the University of Padova,Italy, and a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, U.S.He was a research intern at Philips Research Labs. in Eindhoven, the Netherlands, and at Digital EquipmentCorp., Western Research Labs. in Palo Alto, CA.He joined STMicroelectronics in Agrate Brianza, Italy, in 1995, where he is a R&D manager and a senior member of the technical staff. His current research interests include signal and power integrity, variation-tolerant design, design for manufacturing, statistical design, and EMC-aware design. Dr. Pandini has authored and coauthored more than fifty papers in international journals and conference proceedings, and during the academic years from 1998 to 2000, he was a visiting professor at the University of Brescia, Italy. He is a work-package manager in several funded European projects, and he is on the program committee of several international conferences. In 2008 Dr. Pandini was the recipient of the ST Corporate STAR 2008 Gold Award for leading the R&D excellence team on EMC-aware design. Since June 2015, Dr. Pandini is the Chairman of the Steering Committee of the ST Italy Technical Staff. In September 2015, Davide Pandini served as Volunteer at EXPO2015 "Feeding the Planet, Energy for Life", in Milano, Italy.
Digital Security by Design: Formal Verification with Broad-Spectrum ANSI-C Re...KTN
KTN ran a collaborators' workshop on 26 September 2019 in London to explain more about the Digital Security by Design Challenge announced by the government.
The Digital Security by Design challenge has been recently announced by the Department for Business, Energy & Industrial Strategy (BEIS). This challenge, amounting to £70 million of government funding over 5 years, was delivered by UK Research and Innovation (UKRI) through the Industrial Strategy Challenge Fund (ISCF).
This Collaborators' Workshop provides an opportunity to hear more details of the challenge and forthcoming competitions.
A Scoping Workshop for this challenge was held on 30th May: http://ow.ly/oz6230pHlGl
Find out more about the Defence and Security Interest Group at https://ktn-uk.co.uk/interests/defence-security
Join the Defence and Security Interest Group at https://www.linkedin.com/groups/8584397 or Follow KTN_UK Defence group on Twitter https://twitter.com/KTNUK_Defence
Power Consumption Prediction based on Statistical Learning Techniques - David...Data Science Milan
Early power estimation is a critical requirement for both SoC (system-on-chip) architects and marketing, which must provide competitive, yet realistic, power consumption RFQs (request for quotation) to customers in order to achieve design wins. RFQs based on deterministic techniques may work reasonably well when there is enough information, and the available data closely match the target design. However, this approach can be strongly design dependent, and the same model, which provided a good estimate on one design/technology, may fail on another design/technology with different specs and operating conditions. In this talk, we will present an innovative approach for early power consumption estimation based on statistical learning. The proposed statistical model has been compared against existing RFQs, and validated on two taped-out products for networking in leading-edge CMOS technology.
Davide Pandini holds a Laurea Degree (Summa cum Laude) in Electronics Engineering from the University of Bologna, Italy, a Ph.D. in Electrical Engineering and Telecommunications from the University of Padova,Italy, and a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, U.S.He was a research intern at Philips Research Labs. in Eindhoven, the Netherlands, and at Digital EquipmentCorp., Western Research Labs. in Palo Alto, CA.He joined STMicroelectronics in Agrate Brianza, Italy, in 1995, where he is a R&D manager and a senior member of the technical staff. His current research interests include signal and power integrity, variation-tolerant design, design for manufacturing, statistical design, and EMC-aware design. Dr. Pandini has authored and coauthored more than fifty papers in international journals and conference proceedings, and during the academic years from 1998 to 2000, he was a visiting professor at the University of Brescia, Italy. He is a work-package manager in several funded European projects, and he is on the program committee of several international conferences. In 2008 Dr. Pandini was the recipient of the ST Corporate STAR 2008 Gold Award for leading the R&D excellence team on EMC-aware design. Since June 2015, Dr. Pandini is the Chairman of the Steering Committee of the ST Italy Technical Staff. In September 2015, Davide Pandini served as Volunteer at EXPO2015 "Feeding the Planet, Energy for Life", in Milano, Italy.
Digital Security by Design: Formal Verification with Broad-Spectrum ANSI-C Re...KTN
KTN ran a collaborators' workshop on 26 September 2019 in London to explain more about the Digital Security by Design Challenge announced by the government.
The Digital Security by Design challenge has been recently announced by the Department for Business, Energy & Industrial Strategy (BEIS). This challenge, amounting to £70 million of government funding over 5 years, was delivered by UK Research and Innovation (UKRI) through the Industrial Strategy Challenge Fund (ISCF).
This Collaborators' Workshop provides an opportunity to hear more details of the challenge and forthcoming competitions.
A Scoping Workshop for this challenge was held on 30th May: http://ow.ly/oz6230pHlGl
Find out more about the Defence and Security Interest Group at https://ktn-uk.co.uk/interests/defence-security
Join the Defence and Security Interest Group at https://www.linkedin.com/groups/8584397 or Follow KTN_UK Defence group on Twitter https://twitter.com/KTNUK_Defence
1. Emilio Tarango Valles
209 North Mesa Hills Dr. (Apt. 1914) El Paso, TX. – 79912 – United States
📱 +1 (915) 321 1840 ✉ etarangovalles@miners.utep.edu https://www.linkedin.com/in/emiliotarango
Objective
To apply for a positionwithin yourcompany asan application or appliedmechanics engineer. A positionthatwill let me
apply my testingand engineering experience by following ASTM standards, safety regulationsandinternal rules. Allowing
me to become part of a prestigiouscompany to developandprove myself as anoutstandingemployee.
Education
The University of Texas atEl Paso - MSinMechanicalEngineering El Paso, TX.
Graduatingthis Fall 2016 - GPA:3.9
Master’sThesis Title: Multi-Functional Carbon Fiber Reinforced Plastic Composites for Energy Harvesting and Temperature Sensing
The University of Texas atEl Paso - Bachelors inMechanicalEngineering El Paso, TX.
Fall 2010 to Spring 2015 - GPA: 3.51 - CumLaude
Professional Commercial Pilot Mesa, AZ.
Commercial Pilot, Instrumentand Multi-EngineRatings
Professional Experience
Functional Energy Material SystemsLaboratory (FEMS) University of Texas at El Paso El Paso, TX.
Graduate Research Assistant Fall 2015 –Present
CompositeTemperature Sensingby Piezoelectric Ceramic Particles
- Structureda procedure to makeCarbonFiber/Glass Fiber reinforcement (CFRP) compositeswith the addition
of lead zirconate titanate(PZT) ceramic particles
- Performed ASTM standards (D790)(D3039)toachieve reliable datafor electric/mechanical properties
- Assessedand processedthe results to determine mechanical andelectrical efficiencies
- Technical writing for conference andjournal papers
3D and4D printingof ShapeMemory Polymers (SMP)
- Characterizationof Ether Vinyl Acetate copolymer, 3D printed as a SMP material
- Merged the SMP material to the 3D/4Dprocess toprovide higher quality andprinting efficiency
- Data acquisition to providefunctional andrelevant results via ASTM(D638)(D882)
- Assessmentof data for conclusive results
Materials andMechanics Lab (MaMeL) for Enhancing Low Velocity ImpactResponseof WovenComposites
- Wet Lab Synthesisfor Zinc Oxide Nanowires
- Planneda higher quantity production laboratory setup for time savingpurposes
- Quality assessmentby data interpretationand ScanningElectron Microscopy
The University of Texas atEl Paso(UTEP) Mechanical EngineeringDepartment ElPaso, TX.
Instructor Fall 2016
MECH 1305 – Graphic andDesign Fundamentals
- Structured course material for lectures, exams andprojects
- Continuously analyzed studentlearningtherefore increasing lecture effectiveness
- Assessedthe learning outcomeandclass grade for 250 students
- Resolvedupcomingproblemsby approachingthesituationwith a 7 step problemsolving process
Mechanical Engineering Adviser Summer2016
- Proposedandworkedon an innovative andnew online system therefore increasing departmentefficiency
- Coordinatedclassroomschedulingandcapacity with the head of the department
- Attained soft skills by handlingdifferent studentandstaff situation
2. Teacher Assistant
MECH 3334 – MechanicalDesign
- Sortedand selected extra curriculum problemsfor students wantingmore practice
- Assessedacademic honesty andgradingfor class work or exams
Student Technology Services(STS) El PasoCommunity College El Paso, TX.
STS Manager 2010-2015
- Maximizedbudget efficiency by 48%
- Developed softskills for staff and client handling
- Leadership role assigned in the budgetandcontract area due to performance evaluations
Volunteering
UTEP Joint Lab (Musculoskeletal Biomechanics) El Paso, TX.
UndergraduateSeniorStudentVolunteer 2015
- Heat transfer analysis ona resin curingmold
- Design of a heating methodto accelerate and improvecuring time
Technical and Computer Skills
Instrumentation: LCRMeter, InstronTestingSystems, X-ray PowderDiffraction (XRD), ScanningElectron Microscopy
(SEM), Basic Laboratory Instrumentation
Research Experience: ExperimentalDesign, DataInterpretation/Analysis, ProblemAssessment
Technical Writing:ProficientonprofessionalTechnical writing, bilingual (English andSpanish)
Wet LabSynthesis:SolutionPhaseZincOxide Nanowire Synthesis
CAD Software:SiemensNX, DSSolidworks, DSAbaqusandAutoCAD
SimulationSoftware: ANSYSFluent, SiemensNX, DSSolidworks, DSAbaqusandAutoCAD
ProgrammingandScripting: MATLAB(Data Processing), LaTeX
Other Programs:MicrosoftOffice with advancedknowledge in Excel, Windows and OSX
Relevant Publications
1. G. Castellanos, MdS. Islam, E. Tarango, Y. Lin, P. Prabhakar, “InterlaminarReinforcementfor EnhancingLow-
Velocity ImpactResponseof WovenComposites”Preprintsubmittedto CompositesScienceand Technology, May
23, 2016
2. E. Tarango, R. Martinez, Y. Lin, “TemperatureSensing on Woven CFRP by Piezoelectricparticles” Southwest
Emerging Technology Symposium, May 2016
3. E. Tarango “TemperatureSensing on Woven CFRP by Piezoelectricparticles”HENAAC GraduatePoster
Competition2016
Honors and Awards
Mechanical Engineering department recognition for topstudentsgraduating CumLaudefromThe University of Texas
at El Pasowith a Bachelors in Mechanical Engineering (2015)
Federal Aviation Administration(FAA) recognition intothe prestigiousFAA Airmen Certification Databasefor
exceeding the high educational, licensing andmedical standards(2013)