Integrated Search Menu

Arindam Sanyal

Asst Professor
Faculty, TEMPE Campus, Mailcode 5706
Biography: 

Arindam Sanyal is currently an assistant professor in the School of Electrical, Computer and Energy Engineering at Arizona State University. Prior to this, he was an Assistant Professor in the Electrical Engineering Department at University at Buffalo SUNY. He was an analog design engineer with Silicon Laboratories between 2015-2016. He received his PhD in Electrical and Computer Engineering from the University of Texas at Austin in 2015, his M.Tech from The Indian Institute of Technology, Kharagpur in 2009 and B.E from Jadavpur University, India in 2007. His research expertise includes analog/mixed signal design, bio-medical sensor design, hardware security and neuromorphic computing.

Publications: 

Journals [2020 - 2021]

  1. Sanjeev Tannirkulam Chandrasekaran, Abraham Peedikayil Kuruvila, Kanad Basu, and Arindam Sanyal, "Real-Time Hardware Based Malware and Micro-architectural Attack Detection Utilizing CMOS Reservoir Computing", accepted in IEEE Transactions on Circuits and Systems-II, 2021.
  2. Sanjeev Tannirkulam Chandrasekaran, Akshay Jayaraj, Vinay Elkoori Ghantala Karnam, Imon Banerjee, and Arindam Sanyal, "Fully Integrated Analog Machine Learning Classifier Using Custom Activation Function for Low Resolution Image Classification",  IEEE Transactions on Circuits and Systems-I, vol. 68, no. 3, pp. 1023-1033, 2021.
  3. Junyu Lai, Sanjeev Tannirkulam Chandrasekaran, Arindam Sanyal, and Jung-Hun Seo, "Flexible CMOS Chip Converted by A Novel Chip Transformation Process", IET Electronics Letters, vol. 56, no. 24, pp. 1335-1337, 2020.
  4. Sanjeev Tannirkulam Chandrasekaran, Stefano Pietri, and Arindam Sanyal, "21fJ/step OTA-Less, Mismatch-Tolerant Continuous-Time VCO-Based Band-Pass ADC", IEEE Solid-State Circuits Letters (special section for ESSCIRC), vol. 3, pp. 342-345, 2020.
  5. Sanjeev Tannirkulam Chandrasekaran, Sumukh Prashant Bhanushali, Imon Banerjee, and Arindam Sanyal, "A Bio-Inspired Reservoir-Computer for Real-Time Stress Detection from ECG Signal", IEEE Solid-State Circuits Letters (special section for ESSCIRC), vol. 3, pp. 290-293, 2020.
  6. Mohammadhadi Danesh, Aishwarya Bahudhanam Venkatasubramaniyan, Gaurav Kapoor, Naveen Ramesh, Sudarsan Sadasivuni, Sanjeev Tannirkulam Chandrasekaran, and Arindam Sanyal, "Unified Analog PUF and TRNG based on Current Steering DAC and VCO",  IEEE Transactions on Very Large Scale Integration Systems, vol. 28, no. 11, pp. 2280-2289, 2020.
  7. Sanjeev Tannirkulam Chandrasekaran, Vinay Elkoori Ghantala Karnam, and Arindam Sanyal, "0.36mW, 52Mbps True Random Number Generator Based on a Stochastic Delta-Sigma Modulator",  IEEE Solid-State Circuits Letters (special section for ESSCIRC), vol. 3, pp. 190-193, 2020.
  8. Shibo Zhou, Ying Chen, Xiaohua Li, and Arindam Sanyal, "Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data",  IEEE Access, 2020.
  9. Sanjeev Tannirkulam Chandrasekaran, Gaurav Kapoor, and Arindam Sanyal, "8fJ/step Bandpass ADC with Digitally Assisted NTF Re-configuration",  IEEE Transactions on Circuits and Systems-I,  vol. 67, no. 10, pp. 3262-3272, 2020 (invited from MWSCAS).
  10. Mohammadhadi Danesh, and Arindam Sanyal, "0.13pW/Hz Ring VCO-Based Continuous-Time Read-Out ADC for Bio-Impedance Measurement",  IEEE Transactions on Circuits and Systems-II, vol. 67, no. 12, pp. 2823-2827, 2020.
  11. Sanjeev Tannirkulam Chandrasekaran, Ruobing Hua, Imon Banerjee, and Arindam Sanyal,"A Fully-Integrated Analog Machine Learning Classifier  for Breast Cancer Classification", (invited paper) MDPI Electronics, vol. 9, no., 3, 2020.
  12. Yanlong Zhang, Arindam Sanyal, Xueyi Yu, Xing Quan, Kailin Wen, Xiyuan Tang, Gang Jin, Li Geng, Nan Sun,"A Fractional-N PLL With Space-Time Averaging for Quantization Noise Reduction", IEEE Journal of Solid-State Circuits, vol. 55, no. 3, pp. 602-614, 2020.
  13. Akshay Jayaraj, Nimish Nitin Gujarati, Illakiya Venkatesh and Arindam Sanyal, "0.6V-1.2V, 0.22pJ/bit True Random Number Generator Based on SAR ADC",  IEEE Transactions on Circuits and Systems-II,  vol. 6, no. 10, pp. 1765-1769, 2020.
  14. Abilash Venkatesh, Aishwarya Bahudhanam Venkatasubramaniyan, Xiaodan Xi, and Arindam Sanyal, "0.3pJ/bit Machine Learning Resistant Strong PUF using Subthreshold Voltage Divider Array",  IEEE Transactions on Circuits and Systems-II, vol. 67, no. 8, pp. 1394-1398, 2020.

Conferences [2020 - 2021]

  1. Sudarsan Sadasivuni, Sumukh P. Bhanushali, Sai S. Singamsetti, Imon Banerjee, and Arindam Sanyal, "Multi-Task Learning Mixed-Signal Classifier for In-situ Detection of Atrial Fibrillation and Sepsis", IEEE Biomedical Circuits and Systems Conference (BioCAS), 2021.
  2. Sanjeev T. Chandrasekaran, Imon Banerjee, and Arindam Sanyal,“7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction”, IEEE European Solid-State Circuits Conference (ESSCIRC), 2021.
  3. Sanjeev T. Chandrasekaran,  Sumukh P. Bhanushali, Stefano Pietri, and Arindam Sanyal, “OTA-free 1-1 MASH ADC using Fully Passive Noise Shaping SAR & VCO ADC”, IEEE Symposia on VLSI Technology and Circuits (VLSI-C), 2021.
  4. Sudarsan Sadasivuni, Rahul Chowdhury, Vinay E. G. Karnam, Imon Banerjee, and Arindam Sanyal, "Recurrent Neural Network Circuit for Automated Detection of Atrial Fibrillation from Raw ECG", IEEE International Symposium on Circuits and Systems (ISCAS) 2021.
  5. Sanjeev  T. Chandrasekaran, Akshay Jayaraj, Naveen Ramesh, and Arindam Sanyal, "33-200Mbps, 3pJ/Bit True Random Number Generator Based on CT Delta-Sigma Modulator", IEEE International Symposium on Circuits and Systems (ISCAS) 2021.
  6. Shibo Zhou, Xiaohua Li, Ying Chen, Sanjeev T. Chandrasekaran, and Arindam Sanyal, "Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance", 35th AAAI Conference on Artificial Intelligence, (AAAI-21), 2021.
  7. Sudarsan Sadasivuni, Sanjeev T. Chandrasekaran, and Arindam Sanyal, "Neural Networks for Authenticating Integrated Circuits Based on Intrinsic Nonlinearity", IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2020 (Invited Paper).
  8. Sumukh P. Bhanushali, Sudarsan Sadasivuni, Imon Banerjee, and Arindam Sanyal, "Digital Machine Learning Circuit for Real-Time Stress Detection from Wearable ECG Sensor", IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2020. 
  9. Sanjeev T. Chandrasekaran, and Arindam Sanyal, "Stochastic Delta-Sigma VCO-ADC Utilizing 4x Staggered Averaging",  IEEE International Symposium on Circuits and Systems (ISCAS) 2020.