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Dear Colleagues in the IEEE Philippine SectionYou are invited to attend the IEEE Circuits and Systems (CAS) Distinguishe...
28/01/2020

Dear Colleagues in the IEEE Philippine Section

You are invited to attend the IEEE Circuits and Systems (CAS) Distinguished Lecture by Prof. Gerald Sobelman of University of Milwaukee in Minnesota on 24 February 2020, 2:00PM at the PLDT Multimedia Hall, EEE Institute building, UP Diliman.

The title of his lecture is "Machine Learning and Optimization for Communications and Deep Networks". This talk is jointly organised by IEEE Republic of Philippines Section, IEEE SP and CAS Society and the EEE Institute, UP Diliman. Abstract and short bio of Prof. Sobelman is attached below.

We request all those interested to attend the talk in UP Diliman, please pre-register so we can estimate na number of attendees and make the necessary preparations on the venue if needed. To register for this event, please follow this link.

There will also be a live video stream of this talk c/o PCARI-PRIME SUCs. If your SUC is affiliated with PCARI PRIME then you can view this lecture via video conference. Announcements will be made to the PCARI-PRIME SUCs affiliates about this video lecture.

Please feel free to forward this email invite to your personal contact list for dissemination.

Regards,
Rhandley D. Cajote
EEE Institute, UP Diliman

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Machine Learning and Optimization for Communications and Deep Networks
Prof. Gerald Sobelman
University of Minnesota, USA

Abstract

In recent years, many remarkable achievements have been made in the field of machine learning. While most of the initial successes were related to image, speech and language recognition, a recent important development has been the application of these techniques to other areas. In particular, communications systems can benefit from applying these techniques. For example, algorithms such as Monte Carlo Markov Chain and Monte Carlo Tree Search have been successfully used in the design of MIMO (i.e., multiple antenna) transceivers. In addition, highly quantized implementations, such as binarized networks, have led to implementations that are well-suited to power-limited mobile platforms. In addition, metaheuristic optimization techniques such as the genetic algorithm and others have been used to automatically find highly efficient deep learning architectures, eliminating the need for lengthy and tedious manual experimentation. This lecture will describe these approaches and present some recent design examples. Relationships between the algorithms will be emphasized, and important computational issues will be highlighted. Finally, opportunities for future research in these areas will be suggested.

Brief Biography

Gerald Sobelman is a Professor in the Department of Electrical and Computer Engineering at the University of Minnesota, and he has served as the Director of Graduate Studies for the Graduate Program in Computer Engineering at the University of Minnesota. He received a B.S. degree in physics from the University of California, Los Angeles, and M.S. and Ph.D. degrees in physics from Harvard University. He has been a postdoctoral researcher at The Rockefeller University, and he has held senior engineering positions at Sperry Corporation and Control Data Corporation.

Prof. Sobelman has previously served twice as a Distinguished Lecturer of the IEEE Circuits and Systems Society, during 2008–2009 and during 2013-2014. He has been a member of the technical program committees for several IEEE conferences. He was Chair of the Technical Committee on Circuits and Systems for Communications of the IEEE Circuits and Systems Society, and he has also served as an Associate Editor for IEEE Transactions on Circuits and Systems I and for IEEE Signal Processing Letters. In addition, he has chaired sessions at international conferences in the areas of communications and VLSI architectures.

Prof. Sobelman has presented short courses at a number of industrial and academic sites. He has authored or co-authored more than 150 technical papers and 1 book, and he holds 12 U.S. patents.

A link to the bio here.

FEATURED Outstanding MAPUAN:Dr. ARTHUR DE GUIA-EE'74EE Gold Medalist 19742nd Placer, 1974 Asst. EE Board ExamTOM Awardee...
14/07/2019

FEATURED Outstanding MAPUAN:

Dr. ARTHUR DE GUIA-EE'74

EE Gold Medalist 1974
2nd Placer, 1974 Asst. EE Board Exam
TOM Awardee for Corporate Management
Grand Chancellor-RLC'64 EE Fraternity

Former Faculty-MIT (1974-76)
Former Faculty-UC Berkeley, USA
College of Engineering

GRADUATE STUDIES:

Asian Institute of Technology
Bangkok, Thailand

University of California-Berkeley
California, USA

EXECUTIVE POSITIONS:
*Plant Manager-Colgate Palmolive Philippines, Makati City
(1985 - 1992)
*Plant Director-Colgate Palmolive AsiaPacific Operations
New Zealand, Japan, Australia
*Faculty-UC Berkeley-College of Engineering (while pursuing his PhD in Unit Operations)
*Managing Director-Manufacturing Division-First Philippine Holdings
*President-First Philec Group
*Senior Adviser-BenPres Holdings

http://lopezlink.ph/lopez-values/6821-dr-art-de-guia-the-excellent-engineer.html

Featured Outstanding MAPUAN:SALVADOR P. UMOTOY-EE'76 https://www.facebook.com/groups/365514114080958/?ref=shareFormer Sr...
14/07/2019

Featured Outstanding MAPUAN:

SALVADOR P. UMOTOY-EE'76



https://www.facebook.com/groups/365514114080958/?ref=share

Former Sr. Director of Engineering
MOCVD Eng
Ideal Energy Equipment (Shanghai) Ltd.
Peoples Republic of China (PROC)
www.idealenergy.com
https://www.enfsolar.com/ideal-energy

Former Senior Director for Engineering
and Research (Head Scientist)
Applied Materials Inc.
Santa Clara, California, USA
www.appliedmaterials.com

BS Electrical Engineering-Class1976
Mapua Institute of Technology

Executive Courses & Graduate Studies at
Stanford University - California, USA
https://www.stanford.edu/

https://www.uspto.gov/patents-application-process/search-patents

For the last 37 years, Umotoy worked on C&F Engineering Medical Industry, SemiconductorIndustry Equipment, Solar Panel & Wafer Equipment, and MOCVD/LED Systems.

He worked as a Design Engineer to MTS and Director of Engineering at Applied Materials Inc. a large semiconductor company in Santa Clara, California, USA.

For 28 years, he was a project leader and a technical contributor.
He co-developed Products in Etch - RIE, PECVD - TEOS Oxide, Silicon Oxide, HPCVD, WCVD forSelective & Blanket processes.

He co-developed and introduced
W ALD & Al203 ALD.

He co-developed MO CVD – TiN, TiSiN, Al CVD, TaN CVD and Metal Gate for Endura II.

He co-developed and introduced SiCoNi – Advance Pre-Clean System.

Sal worked on PECVD, Edge Delete Tool, and Laser Scriber for Solar Equipment for 2 years.

3 of his US Patents are for Solar Equipment.

He developed, designed and built a MOCVD Reactor System for LED for a start-up company in Palo Alto, California, USA from Dec 2009, to Dec 2010.

He moved to Shanghai, China to work on Green Energy development for LED & Solar Energy Tools.

He is an Inventor and Co-Inventor for overall 46 registered US Patents and 40 Published US Patent Applications in Semiconductor Equipment, Solar Equipment and MOCVD LED Equipment.

https://www.uspto.gov/patents-application-process/search-patents

He joined IE Shanghai Ltd. on Jan 2011 until today and worked on MOCVD LED Equipment. He is an Inventor and Co-Inventor for 6 Chinese Patent Applications in China to date.

Salvador “Buddy” Umotoy was born on November 9, 1949 in the Northern Part of the Philippines, Ilocos Sur .

He graduated in 1976 with a degree in Electrical Engineering at the Mapua Institute of Technology as a working student.

He worked as a SECURITY GUARD at night and a COLLEGE STUDENT during daytime. He is also an active member of the Rho Lambda Kappa EE Fraternity at the MIT Intramuros campus.

Upon graduation in college he migrated to California USA in 1976. He now resides at Milpitas, California, USA.

While working in the USA, he pursued further education in Mechanical Design Engineering in 1978 at Diablo Colleges in California.

Before he retired at Applied Materials Inc. in 2010 a Silicon Valley a tech company that pioneered in wafer manufacturing and design, his last position was Senior Director for Engineering and Research equivalent to Head Scientist.

During his 26 year stay at Applied Materials Inc. as a Design Engineer and Researcher he further pursued Graduate Course and Studies from 1983 to 2000 at Stanford University-California on courses in Semiconductor Technologies, Management Courses in Manufacturing Engineering, Quality & Reliability Engineering, Safety, Graduate Courses on Mechanical Engineering & Semiconductor Industries – thru an Off-Campus lndustry Partnership between Stanford University and Applied Materials Inc. of Silicon Valley-California.

Sal Umotoy have 46 US Patent Collection all in Semiconductor Technology, MOCVD LED, and Solar Panel & Wafer Equipment.

PATENTS APPLICATIONS:
Results of Search in PGPUB Production Database for: IN/umotoy: 40 applications, of which 3 are Solar Panel Patent Applications from Applied Materials SBG. Other applications applied for are for LED reactor chambers, process kits, wafer handling and gas distribution systems.

There are 6 Patent Applications that are submitted and published in CHINA for MOCVD Tool.

SPECIAL AWARDS from Applied Materials, Inc. Santa Clara,CA, USA.

*Multiple Awards for On-Time Project Completions – Epi, CVD and ALD products.

*Prestigious Award for 300mm Semiconductor Technologies – Applied Materials 1998

https://www.eetimes.com/

*ET Presidential Award ($25,000) – Applied Materials, Inc. 2002

*ET Most Patent Received Award ’05 – By AGS – Applied Materials, Inc. July 2005

*ET Most Prestigious Patent Awards - Applied Materials – July 2005

PUBLICATIONS Authors and co-authors of the following;

*ET Papers-Chamber Hardware Design for WCO6 alpha W deposition as Cu Barrier

*Numerical Simulation for Chucking Force on Wafer in CWxZ Heater

*Computer Modeling Study of CVD alpha W Deposition

*High Temperature TiCl4 based CVD Ti/CVD TiN Common Chamber

*Development of a Modular 300mm Tungsten CVD/ALD Chamber

*300mm Brazed SST MCA minimum contact area HeaterDesign

*Numerical Simulation of EdgePurge Function of WxZ Ceramic Heater

*Advance Preclean Front End of Wafer Chamber Hardware

*Simulation of Shadow Non Contact Ring of 300mm WxZ Chamber

*Integrated RF Plasma and control on a temperature controlled lid for Siconi.

FEATURED Outstanding MAPUAN:Dr. LEON ONG CHUA-EE'59Faculty - Electrical Engineering & Computer Science Dept. EECS  (1971...
14/07/2019

FEATURED Outstanding MAPUAN:

Dr. LEON ONG CHUA-EE'59

Faculty - Electrical Engineering & Computer Science Dept. EECS
(1971 to...)
University of California-Berkeley
California, USA

Faculty - School of Electrical Engineering (1959 to 1965)
Mapua Institute of Technology
Doroteo Jose Campus, Sta Cruz
Manila

GRADUATE STUDIES:
Massachusetts Institute of Technology, Cambridge, MA, USA

University of Illinois-Urbana Champaign, Chicago, USA

AWARDS:
IEEE Browder J. Thompson Memorial Prize Award(1967)

IEEE W.R.G. Baker Prize Paper Award (1973)

IEEE Guillemin-Cauer Award (1972, 1985, 1989)

M. E. Van Valkenburg Award (1995 and 1998)

IEEE Neural Networks Pioneer Award (2000)

IEEE Gustav Robert Kirchhoff Award (2005)

IEEE Circuits and Systems Society Vitold Belevitch Award (2007)

Guggenheim Fellowship (2010)

BRIEF BIOGRAPHY:(Wikipedia)

Leon Ong Chua (/ˈtʃwɑː/; Chinese: 蔡少棠; pinyin: Cài Shǎotáng; Wade–Giles: Ts'ai Shao-t'ang; Pe̍h-ōe-jī: Chhòa Siáu-tông; born June 28, 1936) is an American electrical engineer and computer scientist. He is a professor in the electrical engineering and computer sciences department at the University of California, Berkeley, which he joined in 1971. He has contributed to nonlinear circuit theory and cellular neural network (CNN) theory.[3] He is also the inventor and namesake of Chua's circuit[4] one of the first and most widely known circuits to exhibit chaotic behavior, and was the first to conceive the theories behind, and postulate the existence of, the memristor.[5] Thirty-seven years after he predicted its existence, a working solid-state memristor was created by a team led by R. Stanley Williams at Hewlett Packard.[6][7]

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Muralla Street, Intramuros
Manila

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