Massimo Alioto took the M.Sc. and the Ph.D. degree in 1997 and 2001 from the University of Catania (Italy). He is currently with the ECE department of the National University of Singapore, where he leads the Integrated Circuits and Embedded Systems area. Previously, he held positions at the University of Siena (2002), EPFL (summer of 2007), University of California at Berkeley (2009-2011), University of Michigan Ann Arbor (2011-2012), and Intel Labs in Oregon (2013). He has authored more than 220 publications and three books, and has delivered 50+ invited talks in top universities, semiconductor companies and conferences in the last five years. He was IEEE Distinguished Lecturer, Chair of the “VLSI Systems and Applications” CASS Technical Committee, and Associate Editor in Chief of the IEEE Transactions on VLSI Systems. He has served as Guest Editor of several journal special issues (e.g., TCAS-I, TCAS-II), Associate Editor of a number of IEEE/ACM journals (e.g., TCAS-I, TVLSI, TODAES,TCAS-II), and Technical Program Chair in several IEEE conferences (e.g., SOCC, ICECS, NEWCAS, VARI, ICM, PRIME). Prof. Alioto is an IEEE Fellow.

“The book itself comprises a lengthy and well-written introduction to IoT, followed by several chapters giving guidance with respect to design details and methodologies. … this work provides useful insight into the field. Each chapter is well illustrated and well referenced.” (Computing Reviews, August, 2017)

• 1. IoT: Bird’s Eye View, Megatrends and Perspectives.- 2. IoT Nodes: System-Level View .- 3. Ultra-Low-Power Digital Architectures for the Internet of Things.- 4. Near-Threshold Digital Circuits for Nearly-Minimum Energy Processing.- 5. Energy Efficient Volatile Memory Circuits for IoT Era.- 6. On-Chip Non-Volatile Memory for Ultra-Low Power Operation.- 7. On-Chip Non-Volatile STT-MRAM Memories for Zero-Standby Power.- 8. Security Down to the Hardware Level.- 9. Design Methodologies for IoT Systems on a Chip.- 10. Power Management Circuit Design for IoT Nodes.- 11. Energy Harvesting.- 12. Ultra-Low Power Analog Interfaces for IoT.- 13. Ultra-Low Power Analog-Digital Converters for IoT.- 14. Circuit Techniques for IoT-Enabling Short-Range ULP Radios.- 15. Battery Technologies for IoT.- 16. System Packaging And Assembly In IoT Nodes.- 17. An IPv6 Energy-Harvested WSN Demonstrator Compatible with Indoor Applications.- 18. Ferro-electric RAM Based Microcontrollers: Ultra-Low Power Intelligence for the Internet of Things.

Massimo Alioto took the M.Sc. and the Ph.D. degree in 1997 and 2001 from the University of Catania (Italy). He is currently with the ECE department of the National University of Singapore, where he leads the Integrated Circuits and Embedded Systems area. Previously, he held positions at the University of Siena (2002), EPFL (summer of 2007), University of California at Berkeley (2009-2011), University of Michigan Ann Arbor (2011-2012), and Intel Labs in Oregon (2013). He has authored more than 220 publications and three books, and has delivered 50+ invited talks in top universities, semiconductor companies and conferences in the last five years. He was IEEE Distinguished Lecturer, Chair of the “VLSI Systems and Applications” CASS Technical Committee, and Associate Editor in Chief of the IEEE Transactions on VLSI Systems. He has served as Guest Editor of several journal special issues (e.g., TCAS-I, TCAS-II), Associate Editor of a number of IEEE/ACM journals (e.g., TCAS-I, TVLSI, TODAES,TCAS-II), and Technical Program Chair in several IEEE conferences (e.g., SOCC, ICECS, NEWCAS, VARI, ICM, PRIME). Prof. Alioto is an IEEE Fellow.

“The book itself comprises a lengthy and well-written introduction to IoT, followed by several chapters giving guidance with respect to design details and methodologies. … this work provides useful insight into the field. Each chapter is well illustrated and well referenced.” (Computing Reviews, August, 2017)

• 1. IoT: Bird’s Eye View, Megatrends and Perspectives.- 2. IoT Nodes: System-Level View .- 3. Ultra-Low-Power Digital Architectures for the Internet of Things.- 4. Near-Threshold Digital Circuits for Nearly-Minimum Energy Processing.- 5. Energy Efficient Volatile Memory Circuits for IoT Era.- 6. On-Chip Non-Volatile Memory for Ultra-Low Power Operation.- 7. On-Chip Non-Volatile STT-MRAM Memories for Zero-Standby Power.- 8. Security Down to the Hardware Level.- 9. Design Methodologies for IoT Systems on a Chip.- 10. Power Management Circuit Design for IoT Nodes.- 11. Energy Harvesting.- 12. Ultra-Low Power Analog Interfaces for IoT.- 13. Ultra-Low Power Analog-Digital Converters for IoT.- 14. Circuit Techniques for IoT-Enabling Short-Range ULP Radios.- 15. Battery Technologies for IoT.- 16. System Packaging And Assembly In IoT Nodes.- 17. An IPv6 Energy-Harvested WSN Demonstrator Compatible with Indoor Applications.- 18. Ferro-electric RAM Based Microcontrollers: Ultra-Low Power Intelligence for the Internet of Things.

Massimo Alioto took the M.Sc. and the Ph.D. degree in 1997 and 2001 from the University of Catania (Italy). He is currently with the ECE department of the National University of Singapore, where he leads the Integrated Circuits and Embedded Systems area. Previously, he held positions at the University of Siena (2002), EPFL (summer of 2007), University of California at Berkeley (2009-2011), University of Michigan Ann Arbor (2011-2012), and Intel Labs in Oregon (2013). He has authored more than 220 publications and three books, and has delivered 50+ invited talks in top universities, semiconductor companies and conferences in the last five years. He was IEEE Distinguished Lecturer, Chair of the “VLSI Systems and Applications” CASS Technical Committee, and Associate Editor in Chief of the IEEE Transactions on VLSI Systems. He has served as Guest Editor of several journal special issues (e.g., TCAS-I, TCAS-II), Associate Editor of a number of IEEE/ACM journals (e.g., TCAS-I, TVLSI, TODAES,TCAS-II), and Technical Program Chair in several IEEE conferences (e.g., SOCC, ICECS, NEWCAS, VARI, ICM, PRIME). Prof. Alioto is an IEEE Fellow.

“The book itself comprises a lengthy and well-written introduction to IoT, followed by several chapters giving guidance with respect to design details and methodologies. … this work provides useful insight into the field. Each chapter is well illustrated and well referenced.” (Computing Reviews, August, 2017)

• 1. IoT: Bird’s Eye View, Megatrends and Perspectives.- 2. IoT Nodes: System-Level View .- 3. Ultra-Low-Power Digital Architectures for the Internet of Things.- 4. Near-Threshold Digital Circuits for Nearly-Minimum Energy Processing.- 5. Energy Efficient Volatile Memory Circuits for IoT Era.- 6. On-Chip Non-Volatile Memory for Ultra-Low Power Operation.- 7. On-Chip Non-Volatile STT-MRAM Memories for Zero-Standby Power.- 8. Security Down to the Hardware Level.- 9. Design Methodologies for IoT Systems on a Chip.- 10. Power Management Circuit Design for IoT Nodes.- 11. Energy Harvesting.- 12. Ultra-Low Power Analog Interfaces for IoT.- 13. Ultra-Low Power Analog-Digital Converters for IoT.- 14. Circuit Techniques for IoT-Enabling Short-Range ULP Radios.- 15. Battery Technologies for IoT.- 16. System Packaging And Assembly In IoT Nodes.- 17. An IPv6 Energy-Harvested WSN Demonstrator Compatible with Indoor Applications.- 18. Ferro-electric RAM Based Microcontrollers: Ultra-Low Power Intelligence for the Internet of Things.