Publications & Projects

Publications

Journal Publications

  1. L. Rachakonda, S. P. Mohanty, E. Kougianos, and P. Sundaravadivel, "Stress-Lysis: A DNN-Integrated Edge Device for Stress Level Detection in the IoMT", IEEE Transactions on Consumer Electronics (TCE), Volume XX, Issue YY, ZZ 2019, pp. Accepted on 07 Sep 2019.
  2. P. Sundaravadivel, K. Kesavan, L. Kesavan, S. P. Mohanty, and E. Kougianos, “Smart-Log: A Deep-Learning based Automated Nutrition Monitoring System in the IoT”, IEEE Transactions on Consumer Electronics (TCE), Volume 64, Issue 3, 2018, pp. 390--398.
  3. P. Sundaravadivel, E. Kougianos, S. P. Mohanty, and M. Ganapathiraju, “Everything You Wanted to Know about Smart Healthcare”, IEEE Consumer Electronics Magazine (CEM), Vol. 8, Issue 1, January 2018, pp. 18-28.
  4. E. Kougianos, S. P. Mohanty, G. Coelho, U. Albalawi, and P. Sundaravadivel, “Design of a High-performance System for Secure Image Communication in the Internet of Things(Invited Paper)”, IEEE Access Journal, Vol. 4, 2016, pp. 1222-1242.
  5. P. Sundaravadivel, M. Aarthy, “FPGA Implementation of Sequential Minimal Optimization for MFCC-SVM based on Speech Recognition”, International Journal of Engineering Research & Technology (IJERT), Vol. 4, Issue 04, April 2015.

Conference Publications

  1. P. Sundaravadivel, V. Goyal, and L. Tamil, “i-RISE: An IoT-based Semi-immersive Affective Monitoring Framework for Anxiety Disorders”, in proceedings of the 38th IEEE- ICCE, 2020, Accepted.
  2. P. Sundaravadivel, A. Fitzgerald, S. P. Mohanty, and E. Kougianos, “Easy-Assist: An Intelligent Haptic-based Affective Framework for Assisted Living”, in proceedings of the 38th IEEE- ICCE, 2020, Accepted.
  3. P. Sundaravadivel, C. Tumwesigye, S. P. Mohanty, and E. Kougianos, “iMED-Tour: An IoT-based Privacy-assured Framework for Medical Services in Smart Tourism”, in proceedings of the 38th IEEE- ICCE, 2020, Accepted.
  4. P. Sundaravadivel, A. Fitzgerald, and P. Indic, “i-SAD: An Edge-Intelligent IoT-based Wearable for Substance Abuse Detection”, in proceedings of the 5th IEEE-iSES, 2019, Accepted.
  5. Y. Baiji, and P. Sundaravadivel, “iLoLeak-Detect: An IoT-based LoRAWAN-enabled Oil Leak Detection System for Smart Cities”, in proceedings of the 5th IEEE-iSES, 2019, Accepted.
  6. M. Mendez, J. Carrillo, O. Martin, C. Tchata, P. Sundaravadivel, and J. Vasil, “EasyYard: An IoT-based Smart Controller for a Connected Backyard”, in proceedings of the 5th IEEE-iSES, 2019, Accepted.
  7. P. Sundaravadivel, I. Lee, S. P. Mohanty, E. Kougianos, and L. Rachakonda, “RM-IoT: An IoT-based Rapid Medical Response Plan for Smart Cities”, in proceedings of the 5th IEEE-iSES, 2019, Accepted.
  8. L. Rachakonda, P. Sundaravadivel, S. P. Mohanty, E. Kougianos, and M. K. Ganapathiraju, “A Smart Sensor in the IoMT for Stress Level Detection”, in proceedings of the 4th IEEE-iSES, 2018, Accepted.
  9. P. Sundaravadivel, S. P. Mohanty, E. Kougianos, V. P. Yanambaka, and M. K. Ganapathiraju, “Smart-Walk: An Intelligent Physiological Monitoring System for Smart Families”, in proceedings of the 36th IEEE International Conference on Consumer Electronics(ICCE), 2018.
  10. P. Sundaravadivel, K. Kesavan, L. Kesavan, S. P. Mohanty, E. Kougianos, and M. K. Ganapathiraju, “SmartLog: An Automated, Predictive Nutrition Monitoring System for Infants through IoT”, in proceedings of the 36th IEEE International Conference on Consumer Electronics (ICCE), 2018.
  11. V. P. Yanambaka, S. P. Mohanty, E. Kougianos, P. Sundaravadivel, and Jawar Singh, "Dopingless Transistor based Hybrid Oscillator Arbiter Physical Unclonable Function", in Proceedings of the 16th IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2017, pp. 609-614.
  12. V. P. Yanambaka, S. P. Mohanty, E. Kougianos, P. Sundaravadivel, and Jawar Singh, "Reconfigurable Robust Hybrid Oscillator Arbiter PUF for IoT Security based on DL-FET", in Proceedings of the 16th IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2017, pp. 665-670.
  13. P. Sundaravadivel, S. P. Mohanty, E. Kougianos, V. P. Yanambaka, and H. Thapliyal, “Exploring Human Body Communication for IoT Enabled Ambulatory Health Monitoring Systems”, in Proceedings of the 2nd IEEE International Symposium on Nanoelectronic and Information Systems, 2016, pp. 17-22.
  14. M. L. Rajaram, E. Kougianos, S. P. Mohanty, and P. Sundaravadivel, “A Wireless Sensor Network Simulation Framework for Structural Health Monitoring in Smart Cities”, in Proceedings of the 6th IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin), 2016, pp. 78-82.
  15. P. Sundaravadivel, S. P. Mohanty, E. Kougianos, and U. Albalawi, “An Energy Efficient Sensor for Thyroid Monitoring through the IoT”, in Proceedings of the 17th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE), Montpellier, 2016, pp. 1-4.
  16. G. Coelho, E. Kougianos, S. P. Mohanty, P. Sundaravadivel, and U. Albalawi, “An IoT-Enabled Modular Quadrotor Architecture for Real-Time Aerial Object Tracking”, in Proceedings of the 1st IEEE International Symposium on Nanoelectronic and Information Systems, 2015, pp. 197-202. (blind review).

Presentations

  1. Engineering the IoMT Architectures, Invited Keynote Talk, IEEE Industrial Internet of Things Symposium, Central Michigan University, Mt. Pleasant, Michigan, Nov 22, 2019.
  2. Designing “Things” Architectures for the Internet of Medical Things (IoMT) Frameworks, Talk, 2019 Grace Hopper Celebration for Women in Computing, Orlando, Florida, October 4, 2019.
  3. Smart Healthcare for Emotional Health, Invited Talk, Guest Lecture Series, University of Texas at Dallas, Dallas, Texas, August 16, 2019.
  4. Internet of Everything, Talk, Texas Department of Transportation District Office, Tyler, Texas, March 8, 2019.
  5. It’s all about Sensors, Invited Talk, STEM Like a Girl 2019, Discovery Science Place (Museum), Tyler, Texas, Feb 23, 2019.
  6. Improving Quality of Life using IoT-based Smart Solutions, Invited Talk, Robert. E. Lee High School Visit to University of Texas at Tyler, Tyler, Texas, Feb 20 and 21, 2019.
  7. Improving Quality of Life using IoT-based Smart Healthcare, Invited Talk, Guest Lecture Series, Southern Methodist University (SMU), Dallas, Texas, Jan 18, 2019.
  8. Amb-i: An IoT Based Affective Ambient Monitoring System for Infants, Poster, IEEE MetroCon, Arlington, Texas, Nov 7, 2018.
  9. Smart-Flow: An IoT Based Residential Water Usage Monitoring System, Poster, IEEE MetroCon, Arlington, Texas, Nov 7, 2018.
  10. I-Stress: A Stress Monitoring System using the Internet of Things (IoT), Poster, IEEE MetroCon, Arlington, Texas, USA, 26 Oct 2017
  11. IoT Trends in Smart Healthcare, Talk, Internet of Things Conference, University of Texas Dallas (UTD), 9 Sep 2017. (pdf)
  12. Design of Application-specific architectures for Smart Healthcare, Poster, 2017 ECEDHA Annual Conference, Miramar Beach, Florida, USA, 18 March 2017. (pdf)
  13. “Lecturing? How to Keep Students Engaged”, Talk, Teaching Excellence Seminar, University of North Texas, Denton, Texas, 12th January, 2017.(pdf)
  14. Simulink® Modelling of an Intelligent Battery System towards Sustainable Electronics, Poster, International Workshop on Design Automation for Analog and Mixed-Signal Circuits, ACM/IEEE International Conference on Computer-Aided Design (ICCAD), November 10, 2016.
  15. A Hardware Architecture for Better Portable Graphics (BPG) Compression Encoder, Presentation, 1st IEEE International Symposium on Nanoelectronic and Information Systems (iNIS), Indore, India, 23rd December 2015.
  16. Fool Proof Encoder and decoder using LPC codes for Nano memory application, Presentation, International Conference on Electrical Engineering and Computer Science, Hong Kong, 19th December 2013.

Projects

Response Plan for Smart City

Designed a response plan based on ZigBee using SenScript in CupCarbon. The sensor nodes were clustered based on the range of values and the response plan was based on the A* algorithm. The system was evaluated by considering the figure of merits such as runtime, battery dissipation at the node level, and the number of lost messages.

Machine Learning using TensorFlow

Implemented machine learning algorithms such as linear regression, logistic regression, neural networks, random forest, and nearest neighbor, on MNIST database using TensorFlow library (Python).

IoT based Temperature Monitoring System using Microsoft Azure

Developed a temperature monitoring system with help of ESP8266 NodeMCU, DHT11 temperature sensor, Microsoft Azure and visualized the data using PowerBI. The MCU was programmed using DHT library in Arduino and the stream data analytics were performed using Azure.

IoT based food monitoring system

A prediction based automated food monitoring system was implemented using Piezo-electric sensors and classifiers in WEKA. The weight of the food consumed was collected using piezo sensors connected to Arduino. The nutrition information available in USDA nutrient database was obtained using JAVA program and the nutrition of each meal was computed. The system efficiency was close to 98%.

Accelerometer data analysis

This project involved analyzing various parameters such as kurtosis, energy, mean and so on, from publicly available data in Kaggle, to calculate human step length. With the help of WEKA, each of these parameters were classified and the significance of these parameters on handheld devices (smart-phones) was analyzed.

Menu driven program using TIMSP432 and Educational BoosterPack MKII

A menu-driven program was displayed on the LCD where the user can control through the switches. The significant options in the menu included joystick game, reading accelerometer, temperature readings, and LUX values.

Design and Verification of RISC Processor using UVM

A RISC processor that supports arithmetic, logical and data transfer was designed and verified using Verilog and System Verilog. UVM was used to build the test environment.

IoT Monitoring System Using Pi

Designed an IoT based monitoring system to send temperature and humidity data from Raspberry Pi to a cloud application. This was achieved using Node-RED, SenseHAT and IBM BlueMix.

FPGA implementation of SMO based Speech Recognition

This project involved two phases. The first phase involved choosing better features for speech recognition and the second phase involved implementing SMO in FPGA. A wide comparison of sample size of input signals along with optimization algorithms and feature extraction methods were done. It was observed that the classification results for alphabets were better when a 1500 sample size per word was used after applying FFT to the input, when decomposition strategy of SVMlight was used for optimization. With respect to words,better classification results were obtained in general for SMO optimization especially when the input sample size was 39*120.The algorithm suggested (VAD-MFCC-SVM) yielded better results compared to previous speech recognition algorithms. Since SMO optimization yielded better results,Verilog implementation of this algorithm was done and the same was tested using FPGA. This analysis helped in understanding better algorithms for speech recognition along with a deeper understanding of optimization algorithms involved in support vector machines.

Low Power Design of SRAM

Two 4X4 arrays of 6Transistor SRAM cells were designed using 45nm technology in Cadence Virtuoso.In the first architecture two 2X4 Decoders were designed using NAND gates. The bit lines were charged to half of the Vdd supply and the Self timed Sense amplifier was used such that the sensing was activated only for the required period.In the second architecture , there was a reduction in the switching activity at each SRAM cell by providing separate read and write lines, such that a particular group of cells can be accessed by dividing the total number of lines into global and local word lines.The power consumption was almost double in the second architecture. Presented this paper in the 8th International Conference on Science,Engineering and Technology(SET),May 2014. TOOL: Cadence

Implementation and analysis of multipliers in FIR filters using FPGA

This project is about implementing and analyzing the area and power consumption of multipliers such as Baugh Wooley,Wallace tree and braun multiplier in FIR architecture. The multipliers were designed using Verilog HDL and the power and area analysis was done using Quartus tool in DE1 board.

Fool proof Encoder and Decoder using LDPC Codes for Nano memory applications

This project is about designing encoder and decoder modules in nano memories using LDPC codes in order to correct the errors.Presented this paper in the International Conference on Electrical Engineering and Computer Science,Hong Kong,December 2013.

Low power Inter-IP serial data communication protocol design and implementing for NOCs using RTL Compiler

Design of Network Interface Unit (NIU) and protocol for inter IP communication,Introduced SILENT encoders/decoders for power reduction. ASIC flow result: Achieved 22% power reduction for 90nm library cells using RTL Compiler and Physical design using the Cadence Encounter tool.

Other Projects:

  • Designed a 2 dimensional Discrete Wavelet Transform (DWT) module as a FSM using Verilog.
  • Designed an asynchronous SRAM using Verilog and the test bench environment was created using UVM.
  • Implemented an 8-bit Indian Vedic Mathematics-based multiplier using Verilog. With help of Cadence Encounter tool, the floor planning and routing was done.
  • Temperature monitoring system using SIMULINK.
  • IoT-based parking garage capacity estimation.