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== The CIDR Innovation Infrastructure ==
== The CIDR Innovation Infrastructure ==
[[File:CIDR Roadmap.svg|right|thumb|500px|CIDR Overview and Roadmap]]
The CIDR innovation infrastructure enables joint ecosystem development designed to produce and maintain a critical mass of graduate-level IC designers, and reduce the risk in technology development and adoption via these components:  
The CIDR innovation infrastructure enables joint ecosystem development designed to produce and maintain a critical mass of graduate-level IC designers, and reduce the risk in technology development and adoption via these components:  
# Conducting joint graduate-level programs,  
# Conducting joint graduate-level programs,  
Line 13: Line 14:
The Collaborative Applied Research activities of the center is realized as component projects. Each project builds on a "linchpin" fundamental technology, and explore solutions to real-world problems facing in key application areas. Identifying these critical "linchpin" technologies is a key element in all CIDR research projects, efficiently leveraging the same technology expertise to solve a range of problems in various applications.
The Collaborative Applied Research activities of the center is realized as component projects. Each project builds on a "linchpin" fundamental technology, and explore solutions to real-world problems facing in key application areas. Identifying these critical "linchpin" technologies is a key element in all CIDR research projects, efficiently leveraging the same technology expertise to solve a range of problems in various applications.


=== Component Projects ===
=== Component Research Projects ===
* [[Energy-Efficient RF Front-end Architectures for Large-Scale Sensor Networks]]
* [[Energy-Efficient RF Front-end Architectures for Large-Scale Sensor Networks]]
:: Explores asymmetric radio frequency (RF) circuit topologies and system architectures for very low-power wireless sensor nodes running purely on harvested energy. By combining impulse radio (IR) ultra-wideband (UWB) transmitters (Tx) with on-off keying (OOK) energy detection receivers (Rx), we expect significant reduction in the overall energy requirements of the entire radio front-end transceiver (TxRx). This would potentially enable a wide variety of sensor and internet-of-things (IoT) applications in severely energy-starved environments.
* [[Model-Driven Co-Design of MEMS-Based Sensors and Interface Circuits]]
* [[Model-Driven Co-Design of MEMS-Based Sensors and Interface Circuits]]
:: Explores the interaction between MEMS-based sensors and their corresponding interface circuits, as well as formulate an effective way of co-designing and co-simulating both technologies. To do this, the project will have three major activities: (1) develop and verify analytical models of MEMS-based sensors through fabrication and characterization, (2) develop and verify behavioral models of FDSOI-based interface circuits through fabrication (via foundry) and testing, and (3) formulation of co-design and co-simulation methodology for the sensors and interface circuits.
* [[Energy Efficient Machine Learning Hardware Co-design]]
* [[Energy Efficient Machine Learning Hardware Co-design]]
:: Tackles the co-design of energy-efficient machine learning algorithms and hardware. Methodologies to integrate machine learning on-chip for distributed data processing, network lifespan improvement and security will be explored. These methodologies will likewise pave the way for automated hardware generation for the accelerator needed to perform these tasks.
* [[Energy Harvesting for Battery-less IoT Device Operation]]
* [[Energy Harvesting for Battery-less IoT Device Operation]]
:: Explores a battery-less IoT device through multiple energy harvesting technologies. The environmental, economic, and logistical issue of battery replacement in the deployment of millions of IoT devices can be solved by utilizing super-cap instead of batteries. One possible solution for realizing these battery-less IoT devices is through multiple energy harvesting with design optimization of the circuit power consumption. Moreover, this project aimed to develop a customize and reconfigurable power management integrated circuit (IC) designed chip with different energy harvesting technologies; a combined or stand-alone energy harvesting unit (e.g., light, thermal, and RF sources), depending on the application of the wireless sensor node (WSN) or IoT device.


== Activities ==
== Activities ==
* [[Classes]]
* [[Classes]]
* [[Technical Talks]]
* [[Technical Talks]]
* Modular Open Source Analog Integrated Circuit ([[MOSAIC]]) Community
* [[SEACAS Chipathon 2023]]
* NSTW 2024 ([https://youtu.be/fTWLwGRK17w exhibit video])


== Partners ==
== Partners ==


=== Academe ===
=== Academe ===
{| class="wikitable" style="width: 70%;"
{| class="wikitable" style="width: 80%;"
|-
|-
! Institution !! Collaborators
! Institution !! Collaborators
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* [https://www.up-microlab.org/ Microelectronics and Microprocessors Lab (MICROLAB)] -- [https://www.eee.upd.edu.ph UP EEEI]  
* [https://www.up-microlab.org/ Microelectronics and Microprocessors Lab (MICROLAB)] -- [https://www.eee.upd.edu.ph UP EEEI]  
|style="width: 30%"|  
|style="width: 30%"|  
* [https://www.up-microlab.org/people/faculty/louis/ Louis P. Alarcon]
* [https://www.up-microlab.org/people/faculty/louis/ Louis Alarcon]
* Ma. Theresa De Leon
* [https://www.up-microlab.org/people/faculty/tess/ Maria Theresa De Leon]
* Anastacia Alvarez
* [https://www.up-microlab.org/people/faculty/tata/ Anastacia Alvarez]
* Richard Hizon
* Richard Hizon
* Marc Rosales
* [https://www.up-microlab.org/people/faculty/marc/ Marc Rosales]
* Ryan Antonio
* Ryan Antonio
|-
|-
|  
|
Mindanao State University - Iligan Institute of Technology
[https://www.msuiit.edu.ph/ Mindanao State University - Iligan Institute of Technology]
 
* [https://microlab.msuiit.edu.ph/ MSU-IIT Microelectronics Laboratory]
||
||
* Jefferson Hora  
* [https://microlab.msuiit.edu.ph/people/faculty/jeff Jefferson Hora]
|-
|-
|  
|  
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Caraga State University
Caraga State University
||
||
* Re-ann Calimpusan
|-
|-
|  
|  
Caraga State University Cabadbaran
Caraga State University Cabadbaran
||
||
* Thesa Ll. Vergara
|-
|-
|  
|  
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|-
|-
|  
|  
Surigao State College of Technology
Surigao del Norte State University
||
||
* Vrian Jay Ylaya
|-
|-
|  
|  
University of San Carlos
University of San Carlos
||
||
* Ellen Agnes Zafra
* Luis Gerardo Canete
|-
|-
|  
|  
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University of Science and Technology of Southern Philippines
University of Science and Technology of Southern Philippines
||
||
* Ace Virgil Villaruz
|-
|-
|  
|  
University of the Philippines Los Baños
University of the Philippines Los Baños
||
||
* John Paul Ramoso
|-
|-
|}
|}
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* Miles Ramirez
* Miles Ramirez
* Sherwin Almazan
* Sherwin Almazan
|-
|
Center for Applied Microelectronics and Programming
||
* Christian Roque
|-
|-
|
|
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||
||
* John Imperial
* John Imperial
|-
|
Marquee Semiconductor
||
* Michael Fernandez
|-
|
ROHM LDP
||
* Samuel Molines
|-
|-
|
|
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||
||
* Charade Avondo
* Charade Avondo
* Agnes Oh
|-
|-
|}
|}

Latest revision as of 21:30, 12 December 2024

The Center for Integrated Circuit and Device Research (CIDR) is a DOST-funded infrastructure and framework for the sharing of resources between the academe, industry, and government, with the goal of reducing the risk of bringing new technologies from discovery to commercialization. Specifically, sharing resources that enable (1) graduate-level manpower development, (2) technology exploration, and (3) increased technology absorption capabilities, leading to increased economic competitiveness and a sustainable local IC design ecosystem. In order to enable these goals and address the accompanying issues associated with these goals, CIDR’s efforts will revolve around and emphasize collaborative activities, specifically joint development of manpower and technologies.

The CIDR Innovation Infrastructure

CIDR Overview and Roadmap

The CIDR innovation infrastructure enables joint ecosystem development designed to produce and maintain a critical mass of graduate-level IC designers, and reduce the risk in technology development and adoption via these components:

  1. Conducting joint graduate-level programs,
  2. Pursuing collaborative applied research projects, and
  3. Creating a network of Mirror Laboratories.

Mirror Laboratories

The Mirror Laboratories serves as the infrastructure platform for participating in joint graduate programs and training, and/or collaborative applied research work. Using the CIDR Mirror Laboratories as a platform, and leveraging various technologies for remote learning, the center conducts Joint Classes and Graduate Programs specifically on IC design and related fields for the academe, industry, and government, aimed at creating and sustaining a critical mass of graduate-level IC designers.

Collaborative Applied Research

The Collaborative Applied Research activities of the center is realized as component projects. Each project builds on a "linchpin" fundamental technology, and explore solutions to real-world problems facing in key application areas. Identifying these critical "linchpin" technologies is a key element in all CIDR research projects, efficiently leveraging the same technology expertise to solve a range of problems in various applications.

Component Research Projects

Explores asymmetric radio frequency (RF) circuit topologies and system architectures for very low-power wireless sensor nodes running purely on harvested energy. By combining impulse radio (IR) ultra-wideband (UWB) transmitters (Tx) with on-off keying (OOK) energy detection receivers (Rx), we expect significant reduction in the overall energy requirements of the entire radio front-end transceiver (TxRx). This would potentially enable a wide variety of sensor and internet-of-things (IoT) applications in severely energy-starved environments.
Explores the interaction between MEMS-based sensors and their corresponding interface circuits, as well as formulate an effective way of co-designing and co-simulating both technologies. To do this, the project will have three major activities: (1) develop and verify analytical models of MEMS-based sensors through fabrication and characterization, (2) develop and verify behavioral models of FDSOI-based interface circuits through fabrication (via foundry) and testing, and (3) formulation of co-design and co-simulation methodology for the sensors and interface circuits.
Tackles the co-design of energy-efficient machine learning algorithms and hardware. Methodologies to integrate machine learning on-chip for distributed data processing, network lifespan improvement and security will be explored. These methodologies will likewise pave the way for automated hardware generation for the accelerator needed to perform these tasks.
Explores a battery-less IoT device through multiple energy harvesting technologies. The environmental, economic, and logistical issue of battery replacement in the deployment of millions of IoT devices can be solved by utilizing super-cap instead of batteries. One possible solution for realizing these battery-less IoT devices is through multiple energy harvesting with design optimization of the circuit power consumption. Moreover, this project aimed to develop a customize and reconfigurable power management integrated circuit (IC) designed chip with different energy harvesting technologies; a combined or stand-alone energy harvesting unit (e.g., light, thermal, and RF sources), depending on the application of the wireless sensor node (WSN) or IoT device.

Activities

Partners

Academe

Institution Collaborators

University of the Philippines Diliman

Mindanao State University - Iligan Institute of Technology

Ateneo de Manila University

  • Gian Mayuga
  • Toto Oppus

Batangas State University

  • Gil Barte
  • Ralph Gerard Sangalang

Caraga State University

  • Re-ann Calimpusan

Caraga State University Cabadbaran

  • Thesa Ll. Vergara

De La Salle University

  • Anne Dulay
  • Roderick Yap

Mindanao State University - Marawi

  • Sihawi Khalid

Surigao del Norte State University

  • Vrian Jay Ylaya

University of San Carlos

  • Ellen Agnes Zafra
  • Luis Gerardo Canete

University of Santo Tomas

  • Angelito Silverio

University of Science and Technology of Southern Philippines

  • Ace Virgil Villaruz

University of the Philippines Los Baños

  • John Paul Ramoso

Industry

Company Collaborators

Analog Devices General Trias

  • Miles Ramirez
  • Sherwin Almazan

Center for Applied Microelectronics and Programming

  • Christian Roque

Embedded Silicon Technology Solutions

  • Robert Minguez II

Lattice Semiconductor

  • John Imperial

Marquee Semiconductor

  • Michael Fernandez

ROHM LDP

  • Samuel Molines

Xinyx Design

  • Charade Avondo
  • Agnes Oh

Government

Institution Collaborators

Advanced Science and Technology Institute

  • Franz De Leon

Philippine Space Agency

  • Joel Marciano Jr.
  • Marc Talampas