Shahzad Muzaffar

Shahzad Muzaffar

About Me

PhD Student

Short Bio

Shahzad Muzaffar is a Postdoctoral Fellow at the Electrical and Computer Engineering (ECE) Department at Khalifa University, Abu Dhabi, UAE. He received the BS degree in Telecommunication Engineering from the Electrical Engineering Department at the National University of Computer & Emerging Sciences, Lahore, Pakistan, in 2008. He received the MSc degree in Microsystems Engineering in 2015 and the PhD degree in Interdisciplinary Engineering in 2018, both from the Electrical Engineering and Computer Science Department (now ECE dpt.) at Masdar Institute (now Masdar city campus of Khalifa University), in collaboration with MIT. From 2011 to 2013, he held the position of a senior development engineer in the ESD division of Mentor Graphics, Lahore, Pakistan. From 2009 to 2011, he was Design Engineer (Team Lead) at the Center for Excellence in FPGA/ASIC Research (CEFAR), National University of Sciences and Technology, Islamabad, Pakistan. Since he joined the Masdar Institute in 2013, he has been a graduate research assistant with the Abu Dhabi - SRC Center of Excellence on Energy-Efficient Electronics Systems (ACE4S) where he has been the system design lead of one of two ACE4S technology demonstrators. He is the author of more than 15 refereed publications and book chapters and is the inventor of 5 US patents. His awards include the best MSc thesis award at the Masdar Institute for the 2014 - 2015 academic year and a third best-paper prize at the 2017 Cyber Security Awarness Week, New York University, Abu Dhabi Campus. Throughout his educational and professional career, he was awarded several other Best Project and Best Performance awards.

His research work is multidisciplinary with the objectives to explore the novel and unconventional ideas and methods to solve challenging and untapped real-world problems with the help of innovations in the realm of digital circuits and systems.

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Education

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Experience

Research | Professional

Awards & Honors

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Extracurricular & Hobbies

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Awards & Extracurricular

Awards & Honors

  • Institute's Best M.Sc. Thesis Award
    @ Masdar Institute
  • Department's Best M.Sc. Thesis Award
    @ Masdar Institute
  • Outstanding Performance Award
    @ Mentor Graphics
  • Outstanding Project Award
    @ National University of Computer and Emerging Sciences
  • Winner of International Programming Competition (ACM mentored) in SOFTEC at FAST-NUCES, Lahore.
  • Multiple time winner of Speed Programming Competition in NASTEC at NUST, Islamabad.
  • Stood in top 5 teams in International Engineering Project Competition in SOFTEC at FAST-NUCES, Lahore.
  • Invited several times to judge different engineering competitions in ACM and SOFTEC events at FASTNUCES, Lahore.
  • Secured several scholarships and financial aids to support my education.

Extracurricular & Hobbies

  • Table Tennis & other indoor spots
  • Cricket
  • Reading
  • Graphic designing and animations
  • Sound and Video editing

Research

My Research, Patents, Publications

Research Interests

My multi-disciplinary research aims to explore the novel and unconventional methods to solve challenging real-world problems, currently, focusing on the domains including but not limited to:

  • Biomedical / healthcare / health-monitoring systems
  • Wearable Technologies & Systems
  • Domain-specific Processing Architectures
  • Communication & Security for Low-end IoT devices
  • High Performance Computing & Data Science
  • Artificial Intelligence (Deep Machine Learning)

I tend to solve cropped up challenges in these domains with the help of innovations in the realm of:

  • New integrated circuits (VLSIs, ASICs, SoCs, etc.)
  • FPGAs, DSPs, Embedded Systems, etc.
  • Novel architecture designs
  • Area-power efficient and high-speed hardware design for complex algorithms
  • System-level prototypes, integration, testing/verification
  • Miscellaneous practical implementation aspects

More About My Reseach?

Patents & Publications

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Research & Work-In-Progress Demos, Workshops

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Research Experience

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Patents & Publications

6 Patents, 23 Publications

Patents

[1] Systems and Methods for Low-power Single-wire Communication (US Patent No. 10263765)
[2] Apparatus And Method For Weight Measurement During Motion Using Force Waveforms (US Patent Filed. Application Number: 16/023,287)
[3] Sensor Array For Consolidated Force Measurement (US Patent Filed. Application Number: 16/023,335)
[4] Systems And Methods For Self-Synchronized Communications (US Patent Filed. Application Number: 16/023,356)
[5] Method for Secure Device-to-Device Communication using Multilayered Cyphers (US Patent Filed. Application Number: 16/047,375)
[6] Wearable Walk and Weight Monitoring System (Disclosure submitted for US patent filing)

Publications

Books & Book Chapters

[1] "Low-power, Dynamic-data-rate Protocol for IoT Communication," in The IoT Physical Layer - Design and Implementation, Springer, 2018, pp. 193-231.
[2] "Toward An Integrated, Low-power Platform for Continuous Congestive Heart-failure Monitoring," in The IoT Physical Layer - Design and Implementation, Springer, 2018, pp. 327-352.
[3] "Pulsed Decimal Encoding for IoT Single-channel, Dynamic Signaling," in VLSI-SoC: Opportunities and Challenges Beyond the Internet of Things. Springer, 2019. (In Press)
[4] "An Instruction Set Architecture for Secure, Low-power, Dynamic IoT Communication," in VLSI-SoC: Design and Engineering of Electronics Systems Based on New Computing Paradigms. Springer, 2019. (In Press)
[5] S. Muzaffar and I. M. Elfadel, Family of CDR-Less Edge-Coded Signaling Techniques. Springer, 2019. (In Preparation)
[6] S. Muzaffar and I. M. Elfadel, Wearable Walk and Weight Monitoring - Design and Implementation. Springer, 2019. (In Preparation)
 

Peer-Reviewed Publications

[7] S. Muzaffar A. Shabra, J. Yoo, and I. M. Elfadel, "A Pulsed-Index Technique for Single-Channel, LowPower, Dynamic Signaling," Design, Automation and Test In Europe (DATE'15), pp. 1485--1490, Grenoble, France, March 2015.
[8] S. Muzaffar and I. M. Elfadel, "Timing and Robustness Analysis of Pulsed-Index Protocols for Single-Channel IoT Communications," 23rd IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2015), pp. 225--230, Daejeon, South Korea, October 2015.
[9] S. Muzaffar and I. M. Elfadel, "Power Management of Pulsed-Index Communication Protocols," 33rd IEEE International Conference on Computer Design (ICCD), pp. 375--378, New York, NY, USA, October 2015.
[10] S. Muzaffar N. Saeed, and I. M. Elfadel. "Automatic protocol configuration in single-channel low-power dynamic signaling for IoT devices," 24th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2016), pp. 1--6, Tallinn, Estonia, September 2016.
[11] S. Muzaffar and I. M. Elfadel. "A versatile hardware platform for the development and characterization of IoT sensor networks," 59th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS'16), pp. 1--4, Abu Dhabi, UAE, October 2016.
[12] S. Muzaffar, O. T. Waheed, Z. Aung, and I. M. Elfadel, "Single-clock-cycle, Multilayer Encryption Algorithm for Single-channel IoT Communications," IEEE Conference on Dependable and Secure Computing (DSC 2017), pp. 153--158, Taipei, Taiwan, August 2017.
[13] S. Muzaffar and I. M. Elfadel, "A Pulsed Decimal Technique for Single-channel, Dynamic Signaling for IoT Applications," 25th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2017), pp. 1--6, Abu Dhabi, UAE, October 2017.
[14] S. Muzaffar and A. Afshari, "Short-Term Load Forecasts Using LSTM Networks," Energy Procedia, ELSEVIER, vol. 158, pp. 2922–2927, February 2019. doi: 10.1016/j.egypro.2019.01.952
[15] S. Muzaffar and I. M. Elfadel, "An Instruction Set Architecture for Low-power, Dynamic IoT Communication," 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2018), pp. 37–42, Verona, Italy, October 2018.
[16] S. Muzaffar and I. M. Elfadel, "A Domain-Specific Processor Microarchitecture for Low-power, Dynamic IoT Communication," IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 0, no. 0, pp. 1–14, May 2019. doi: 10.1109/TVLSI.2019.2911393
[17] S. Muzaffar and I. M. Elfadel, "A Self-Synchronizing, Low-Power, Low-Complexity Transceiver for BodyCoupled Communication," 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), pp. 0–0, Berlin, Germany, July 2019. (Accepted).
[18] S. Muzaffar and I. M. Elfadel, "Piezoresistive Sensor Array Design for Shoe-integrated Continuous Body Weight And Gait Measurement," 20th Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS (DTIP 2019), pp. 0–0, Paris, France, May 2019. (Accepted).
[19] S. Muzaffar and I. M. Elfadel, "Dynamic Edge-Coded Signaling for Low-Power IoT Communication," IEEE Transactions on Very Large Scale Integration (VLSI) Systems. (Submitted).
[20] S. Muzaffar, O. T. Waheed, Z. Aung, and I. M. Elfadel, "Lightweight, Single-Clock-Cycle, Multilayer Cypher for Single-Channel IoT Communication: Design and Implementation," IEEE Transactions on Very Large Scale Integration (VLSI) Systems. (Submitted).
[21] S. Muzaffar and I. M. Elfadel, "Double Data Rate Dynamic Edge-Coded Signaling for Low-Power IoT Communication," 27th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2019), pp. 0–0, Cuzco, Peru, October 2019. (Submitted).
[22] H. A. Gonzalez, S. Muzaffar, and I. M. Elfadel, "BioCNN: FPGA-Accelerated Convolutional Neural Network for EEG-based Emotion Detection," IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS). (Submitted).
[23] S. Muzaffar and I. M. Elfadel, "Self-Synchronized and Motion Sensor-Free Method for Weight Estimation During Walk and Run," IEEE Transactions on Biomedical Engineering (TBME). (Submitted).

Research Demos, Workshops

[1-2] Shahzad Muzaffar, and Ibrahim (Abe) M. Elfadel, "An Embedded Walk-cycle Monitoring System using Body Area Communication and Secure Low-power Dynamic Signaling," (Project Demonstration/Presentation)
  1. Design, Automation and Test In Europe (DATE), Dresden, Germany, March 19-23, 2018.
  2. Graduate Students Research Conference (GSRC), Sharjah, UAE, April 21, 2018.
  3. Graduate Students Research Conference (GSRC), Abu Dhabi, UAE, March 20-21, 2017.
[3-5] Shahzad Muzaffar, and Ibrahim (Abe) M. Elfadel, "An Integrated, Low-Power Platform for Continuous Congestive Heart-Failure Monitoring," (Project Demonstration)
  1. Design, Automation and Test In Europe (DATE), Dresden, Germany, March 14-18, 2016.
  2. IEEE Engineering in Medicine and Biology Society (EMBS), Sharjah, UAE, May 7, 2016.
  3. Graduate Students Research Conference (GSRC), Abu-Dhabi, UAE, April 17-18, 2015.
[6-7] Shahzad Muzaffar, and Ibrahim (Abe) M. Elfadel, "A versatile hardware platform for the development and characterization of IoT sensor networks," (Work-In-Progress Demo Presentation)
  1. SRC's TECHCON, Austin, TX, USA, September 20-22, 2015.
  2. Graduate Students Research Conference (GSRC), Al-Ain, UAE, April 27-28, 2016.
[8-9] Shahzad Muzaffar, Owais Talaat, Z. Aung, and Ibrahim (Abe) M. Elfadel, "Single-clock-cycle, Multilayer Encryption Algorithm for Single-channel IoT Communications," (Competition and Research Presentation)
  1. SRC's TECHCON, Austin, TX, USA, September 16-18, 2018.
  2. Cyber Security Awareness Week (CSAW'17), NYU, UAE, November 9-11, 2017. Third Prize Winner.
[10] Shahzad Muzaffar, and Ibrahim (Abe) M. Elfadel, "Design and Analysis of Pulsed-Index Protocols for Single-Channel, Low-Power, Dynamic Signaling," Design Automation Conference (DAC), San Francisco, CA, UASA, June 7-11, 2015. (Work-In-Progress Demo Presentation)
[11] Shahzad Muzaffar, and Ibrahim (Abe) M. Elfadel, "A Pulsed-Decimal Technique for Single-channel, Dynamic Signaling for IoT Applications," SRC's TECHCON, Austin, TX, USA, September 10-12, 2017. (Demo Presentation)
[12] Shahzad Muzaffar, and Ibrahim (Abe) M. Elfadel, "A Special-Purpose Instruction Set and Microarchitecture for Low-power, Dynamic IoT Communication," Design Automation Conference (DAC), San Francisco, CA, UASA, June 24-28, 2018. (Design/IP Presentation)
[13] Shahzad Muzaffar, and Ibrahim (Abe) M. Elfadel, "IoT Platform for Detecting Continuous Congestive Heart-Failure," UAE Society of Engineers, Dubai, UAE, April 2018. (Delivered Workshop)

Reseach Experience

6+ Years

Research Experience

Feb. 2019 - Present

Post-Doc Fellow (Project Team Lead)

Electrical and Computer Engineering Department
Masdar City Campus, Khalifa University
Abu-Dhabi, UAE
  • Supervisor: Prof. Ibrahim (Abe) M. Elfadel, MI.

Currently working on:
  • Miniaturization of weight and walk monitoring system with an ultimate goal of developing customized shoes with invisible circuitry.
  • AI hardware accelerator for emotion detection.
  • Improving the data rate of CDR-less edge-coded signaling techniques for IoT communication at low-end edge devices.
  • A new concept of introducing synergy between dynamic features of communication protocol and crypto algorithm to achieve high levels of security at highly constrained edge node devices.
Sep. 2013 - Dec. 2018

Research Assistant (System Design Lead)

Institute Center for Microsystems (iMicro)
SRC Center of Excellence for Energy Efficient Electronics Systems (ACE4S)
Masdar Institute (now Khalifa University)
Abu-Dhabi, UAE
  • Task Leader: Prof. Ibrahim (Abe) M. Elfadel, MI.
  • Co-Task Leaders: Prof. Anantha P. Chandrakasan (MIT), Prof. Jerald Yoo (MI, 2013-16), and Prof. Ayman Shabra (MI, 2013-15).

I did a multidisciplinary research work on the problem of wearable Continuous Healthcare Monitoring System, from planning to architectural definition, design, implementation, and testing of final working hardware prototype demonstrator. The work proposed a new way of health monitoring and early diagnosis based on continuous weight estimation that is very challenging and has not been explored yet. During my tenure at Masdar Institute, I worked on a range of aspects of this project, briefly stated ahead. I would like to acknowledge my advisor for all the guidance, flexibility and support he offered me which enabled me to take risks and work on untapped new methods to accomplish all the tasks as a lone student researcher on this strenuous project.

(A) Monitoring System & Methodologies

  • Developed a wearable continuous health monitoring and early diagnosis system that is based on continuous monitoring of weight and walk. The system has several parts, and some of these are as follows..
    • Proposed a new method of integrating sensors in shoe insoles to enable full force collection for weight estimation.
    • Proposed a Self-synchronized and Motion Sensor-free Weight Estimation method using a novel signal processing method of the walk-cycle force waveform itself. The method is based on the extraction of a key feature that has never been used in continuous weight estimation and is employed to remove the motion artifacts.
    • Proposed force adjustment and error correction methods for the low-cost pressure sensors that are used to build the demonstrator shoe system.
  • Algorithms to realize the proposed methods are developed and verified.
  • A full wearable demonstrator prototype using the above-mentioned methods and the following communication techniques is developed to showcase the end-to-end success of the system and is verified using real-world subjects.
  • The developed system is intended to be used in various domains such as to diagnose a range of health problems on an early basis (for example congestive heart failure, cancer, etc..), daily lifestyle monitoring to prevent health issues, to create databases on weight change patterns to help further research, to control balance in robotics as well as for sports medicines, animal healthcare/sports, prostheses, gait analysis, etc.

(B) New CDR-less Communication Techniques

  • Invented a family of novel CDR-less, low-power, high data rate, and dynamic single-channel communication techniques named as Pulsed-Index Communication Family (PIC Family):.
    • Pulsed-Index Communication (PIC) in 2015
    • Pulsed-Decimal Communication (PDC) in 2017
    • Edge-Coded Signaling (ECS) in 2018
  • IP implementation of PIC member techniques in Verilog for FPGA (Virtex-7), ASIC flow (synthesized with 65nm CMOS technology), and in embedded C.
  • Did detailed optimization and analysis.
  • Power Management: Presented a detailed PHY layer power management policy based on pulse duty cycle control for the Pulsed-Index Communication protocols to improve further their ultra-low power characteristics without impacting their data or bit error rates. Implemented using 45nm CMOS technology.
  • Automatic Parameters Configuration: The power-on algorithmic process for automatically detecting the PIC protocol parameters allows the master device to configure all the slave devices connected to a single-channel PIC network prior to the start of any device-to-device communication. This removed the restriction on devices to communicate at a specified baud rate. Implemented in Verilog on the Xilinx Virtex-7 FPGA platform and ASIC flow (synthesized with 65nm CMOS technology).
  • IoT Platform: IoT characterization and testing platform using a network of devices connected via PIC family protocol. Implemented on Virtex-7 using PIC and TI MSP430 Verilog IP.
  • Multilayer Encryption/Decryption: The proposed single-channel, secure communication system exploits the unique features of PIC technique to add multilayer security to the transmission with low impact on PIC performance while presenting a set of hard-to-solve challenges to an attacker. Prototyped both in FPGA and ASIC (65nm CMOS technology).
  • Special Purpose Processor and ISA: Proposed a special-purpose processor (microarchitecture) along with the tuned ISA that supports both the standard and customized pulsed-signaling protocols. The solution enables the amalgamation of software and hardware to greatly reduce the number of instructions required to implement a given communication interface without impacting either the data rates and/or the reliability of the protocols. Prototyped both in FPGA and ASIC (synthesized with 65nm CMOS technology)

(C) Body-Channel Communication (BCC)

  • First successful two-way communication through human body channel (i.e., sending a real bit stream instead of testing using clock stream or by spectral analysis).
  • Proposed and implemented simplified low-power and small form factor BCC transceiver.
  • PIC member techniques are used for BCC that helped in reducing the hardware complexity and removing various duty cycle related issues.
  • A second BCC demonstrator is also developed using music signal transmission through human skin.

(D) Miscellaneous

  • Continuous Real-time Monitoring and early Detection of Congestive Heart-Failure Conditions: An Enhanced Low-Power Adaptive-Grid Run-Time Systematic Sampling Technique.
  • Multiparameter Heart Failure Monitoring Algorithm-Initial Implementation using 45nm CMOS technology.
  • ALU Architecture implementation using 45nm CMOS technology.
  • Differential Digital Clock \& Data recovery (CDR) using Virtex-7 FPGA.
Oct. 2009 - Jan. 2011

Design Engineer (Team Lead)

Center for Excellence in FPGA/ASIC Research (CEFAR)
National University of Sciences and Technology (NUST)
Islamabad, Pakistan

Worked on several projects such as:

  • Secure dial project to securely transmit the speech over telephones using Xilinx Virtex-5 FPGA.
  • AES encryption and Decryption implementation on Xilinx Virtex-5 FPGA.
  • ADPCM implementation on Xilinx Virtex-5 FPGA.
  • High speed DVB-Common Scrambling Algorithm (CSA) implementation on Xilinx Virtex-5 FPGA.
  • High speed SHA-1 Security Algorithm implementation on Xilinx Virtex-4 FPGA.
  • Power optimization techniques at RTL level to reduce power consumption of FPGA based system designs.
Aug. 2008 - June 2015

University Research Projects Mentoring and Supervision

  • Electrical Engineering Department, National University of Computer and Emerging Sciences (NUCES-FAST), Lahore.
    • FPGA based CPPI Supported Mini-Computer. Hardware (XilAnt) on Virtex-4 FPGA and OS Wrapper (XilAntOS) using Xikernel/Mentor-Nucleus and embedded C - Outstanding Project Award.
    • Improved FALCON-A Processor Architecture over FPGA (Virtex-4).
    • FM Antenna Direction & Angle Detector using FPGA Platform (Virtex-4).
    • FPGA Based Signal Generator \& Shifter (Spartan-3E).
    • FPGA Implemented Face Recognition System (Virtex-4).
    • High Speed Big Data (0-512 bit) Multiplier over FPGA (Spartan-3).
    • Energy Management System (Virtex-4).
  • Computer Engineering Department, COMSATS Institute of Information Technology, Lahore.
    • Custom OS image editor using FPGA based embedded system (Spartan-6) - Best Project Award.

Academics

Education, Teaching

Education

Sep. 2015 - Dec. 2018

Doctor of Philosophy (Ph.D.) - Interdisciplinary Engineering

Electrical and Computer Engineering (ECE) Department Masdar Institute (In Collaboration with MIT) - now Khalifa University
  • Thesis Title: An Embedded Walk-cycle and Weight Monitoring System using Body Area Communication and Secure Low-power Dynamic Signaling.
  • Advisor: Prof. Ibrahim (Abe) M. Elfadel, MI.
  • RSC Members:
    • Prof. Neville Hogan, Sun Jae Professor of Mechanical Engineering, MIT.
    • Prof. Mihai Sanduleanu, MI.
  • Accolade: "This research work is equivalent to two PhD theses." — RSC members, dissertation defense, October 2018.
  • Sponsors and Collaborators: SRC, Mubadala, MIT.

Know more:    List of Courses , About Thesis

Sep. 2013 - Aug. 2015

Master of Science (M.Sc.) - Microsystems Engineering

Electrical Engineering and Computer Science (EECS) Department Masdar Institute (In Collaboration with MIT) - now Khalifa University
  • Thesis Title: An Integrated, Low-Power Platform for Continuous Congestive Heart-Failure (CHF) Monitoring using Body-Channel Communication.
  • Advisor: Prof. Ibrahim (Abe) M. Elfadel, Head of Institute Center for Microsystems (iMicro), MI.
  • Co-Advisors: Prof. Jerald Yoo and Prof. Ayman Shabra.
  • Accolade: Institute's Best Thesis Award and Microsystems Department's Best Thesis Award.
  • Sponsors and Collaborators: SRC, Mubadala, MIT.

Know more: List of Courses ,    About Thesis

Aug. 2004 - June 2008

Bachelor Of Science (B.Sc.) - Telecommunication Engineering

Electrical Engineering (EE) Department National University of Computer and Emerging Sciences (NUCES-FAST), Lahore, Pakistan
  • Project Title: Learning Robo - An external and general learning systems for machines.
  • Advisor: Prof. Imtiaz Tariq.
  • Accolade: Outstanding Project Award in the EE department sponsored in-house competition, and graduated among the top 5% of my class.

Know more:    List of Courses

Teaching Experience

    Course   Place   Level   Course Design   Material Preparation   Mode   Assessments & Grading
2014 - 16 Lab Instructor   Digital Systems   Microsystems dpt., Masdar Institute   G       PL+L  
2011 Workshops   FPGA based System Design   CEFAR, NUST-SEECS   G-U-P       PL+L  
2010 Lab Instructor   Programming for Engineers II   NUST-SEECS   U       FL+L  
2009 Lab Instructor   Object Oriented Programming   NUCES-FAST   U       FL+L  
- Tutorials   Various Topics   NUCES-FAST, NUST, Masdar   G-U       FL  
G: Graduate, U: Under-grad, P: Professionals, PL: Partial Lecturing, FL: Full Lectures, L: Lab

MSc Thesis

Best Thesis Award

An Integrated, Low-Power Platform for Continuous Congestive Heart-Failure (CHF) Monitoring using Body-Channel Communication


  • Advisor: Prof. Ibrahim (Abe) M. Elfadel, Head of Institute Center for Microsystems (iMicro), MI.
  • Co-Advisors: Prof. Jerald Yoo and Prof. Ayman Shabra.
  • Accolade: Institute's Best Thesis Award and Microsystems Department's Best Thesis Award.
  • Sponsors and Collaborators: SRC, Mubadala, MIT.
  • Knowledge Involved but Not Limited to: IC / VLSI Design, FPGA Based Design, Algorithm Development, System Architecture & Integration, PCB Design, Communication & Synchronization, Power Management, Testing and Analysis.

Abstract:

This research presents a novel ultra-low power wearable system for Congestive Heart Failure (CHF) monitoring using the continuous measurement of a patient's weight to detect changes in body mass and fluid composition. Shoe-integrated sensor arrays are used to continuously measure the weight, and an electronic digital assistant, implemented in VLSI, is used to further analyze the acquired measurements in real time. To achieve ultra low-power operation, the human body is used as a communication medium between the shoe-mounted sensors and the digital assistant. The single-channel behavior of the human body is accommodated with a novel, simple yet robust single-wire signaling technique that we have called Pulsed-Index Communication (MI provisional patent pending). This signaling technique significantly reduces the system footprint and its overall power consumption as it entirely eliminates the need for circuitry dedicated to clock and data recovery. The CHF system has been fully prototyped using a cutting-edge FPGA platform, namely, Virtex 7 from Xilinx. The prototype, which integrates models for footwear, body area network (BAN), and back-end digital electronics, has been rigorously and successfully tested. This highly modular system is being used to implement, analyze and compare various pattern recognition algorithms for the early detection of congestive heart failure. The research described in this thesis has been conducted under the Abu Dhabi - SRC Center of Excellence on Energy-Efficient Electronic Systems (ACE4S).

System Diagram:

image

PhD Thesis

Thesis Information

An Embedded Walk-cycle and Weight Monitoring System using Body Area Communication and Secure Low-power Dynamic Signaling.


  • Advisor: Prof. Ibrahim (Abe) M. Elfadel, MI.
  • RSC Members:
    • Prof. Neville Hogan, Sun Jae Professor of Mechanical Engineering, MIT.
    • Prof. Mihai Sanduleanu, MI.
  • Sponsors and Collaborators: SRC, Mubadala, MIT.

Abstract:

Continuous body weight changes are strong indicators of the onset of several medical conditions requiring urgent care, including congestive heart failure, renal failures, Chron’s disease, celiac disease, peptic ulcers, and diabetes. Yet the traditional ways of measuring body weight do not allow the continuous, reliable, fine-grained, and regular monitoring. In addition, lack of patient’s will and patient’s failure to adhere to strict healthcare protocols further compromise the data obtained from traditional body weight measurement methods (e.g., bathroom scale or doctor’s office scale). The absence of a reliable method of continuously measuring body weight in the context of regular daily activities has also hampered the development of large-scale public health databases for correlating body weight changes not only with individual health conditions but also with lifestyle, environmental, dietary, and social conditions. This thesis addresses this important gap in continuous healthcare monitoring and proposes a complete, wearable, electronic system for fine-grained body weight measurement that is fully operational in the context of normal daily activities. The novel ultra-low power, embedded system is comprised of sensor arrays that can be seamlessly integrated into footwear and a personal digital assistant (PDA) that captures force sensor waveforms and process them to obtain reliable body weight measurements during regular walk cycles. The wearable weight measurement protocol has several innovations that have overcome numerous sensor and system challenges, including:

  • The use of the force waveforms themselves for motion detection, estimation of the body center of mass, and the synchronization of data acquisition between the two feet.
  • The use of the body-communication channel (BCC) for the secure communication between the sensor arrays and the PDA.
  • The use of a novel footwear design that improves the reliability and repeatability of force measurements during the walk cycle.

To implement the secure BCC link, a novel class of signaling techniques, named PulsedIndex Communication, has been developed, implemented, and tested. These novel techniques have significantly contributed to power reduction, footprint miniaturization, and robustness with respect to timing variabilities of the overall system. A portable system prototype using off-the-shelf components has been developed to showcase the end-to-end success of the weight monitoring system and has been rigorously and successfully tested in real-time on human subjects. The tests show a real-time body weight measurement accuracy of more than 95%.

PhD Courses

  • Environmental Sampling & Data Analysis
  • Numerical Simulation of Circuits & Systems
  • Information Security
  • Computer Architecture
  • Design & Fabrication of MEMS
  • Teaching at University Level
  • Time Series Analysis, Modeling & Prediction
  • High Performance Computing

MSc Courses

  • Analysis and Design of Digital Integrated Circuits
  • Analysis and Design of Analog Integrated Circuits
  • Digital Systems Laboratory
  • High-Speed Communication Circuits
  • Integrated Microelectronic Devices
  • Micro/Nano Processing Technology
  • Advanced Signal Processing
  • Sustainable Energy
  • Academic Writing for Research

BSc Major Courses

  • Electric Circuit Analysis
  • Electronics
  • Digital Logic Design
  • Computer Architecture
  • Microprocessor Interfacing & Programming
  • Operating System
  • Electromagnetic Theory
  • Signals & Systems
  • Digital Signal Processing
  • Digital Image processing
  • Digital Communication
  • C++ programming
  • Object Oriented Programming
  • Data Structures
  • Calculus
  • Multi Variable Calculus & Complex Analysis
  • Linear Algebra & Differential Equations
  • Feedback Control System
  • Telecommunication Systems
  • Wireless & Mobile Communication
  • Satellite Communication
  • Wave Propagation & Antenna Theory
  • Final Year Project

Downloads

Download My CV

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Professional

Professional, Administrative

Professional Experience

Feb. 2011 - Aug. 2013

Senior Development Engineer

Mentor Graphics, Lahore, Pakistan
  • Primary work was related to Digital and Embedded Systems:
    • Employed a variety of devices and development boards from vendors such as Xilinx, Texas Instruments, Freescale, Logic PD, Beagle, and ARM.
    • And, used different design tools and techniques such as Verilog/VHDL, embedded programming, board support packages, RTOS (Xilkernel and Mentor Nucleus) and, third-party IPs integration.
  • Outstanding Performance Award.
Sep. 2008 - Sep. 2009

Embedded System Engineer

Powersoft19, Lahore, Pakistan
  • Involved in an outsourced project of USA based Company, ISC, to develop devices to detect various types of harmful gasses for the workers during their work in the mines.
  • Involved in another outsourced project, ECLO-II from Germany, to automate the high speed trains in EUROPE.

Freelance Work

  • Factory machines' tracking system for an ISO certified socks knitting company (used microcontrollers as processing devices).
  • Wholesale business management system software.
  • Website developments, graphic designing, and animations.

Administrative Experience

2017 Part of the organization team of VLSI-SoC 2017 conference, Abu Dhabi, UAE.
2014-17 Managed and organized the event of Annual International Day several times at Masdar institute, thereby representing Pakistan community.
2014-17 New students mentoring and orientation arrangements under Students Affairs Office at Masdar Institute.
2013-14 Founder and President of most active students' club "mXtreme" for fun activities at large scale (i.e. sports, arts, creativity etc.) at Masdar Institute.
2008 In charge competitions of ACM, NUCES-FAST Lahore.
2008 Founder and President of ACADEMIC GUIDANCE and HELP (AGH), NUCES-FAST Lahore.

Contact

Get in Touch

Get in Touch

Masdar City Campus, Khalifa University, Abu-Dhabi, UAE
shahzad.muzaffar.fastian@gmail.com
shahzad.muzaffar@ku.ac.ae
+971 56 3300536
shahzad_muzaffar (skype)

At My Office

Level-2, lab-3 (right side), near Dr. Mihai's office, Building 1-A, Masdar City Campus.