Teju Das Headshot

Teju Das

Associate Professor, Electrical and Microelectronic Engineering

Department of Electrical and Microelectronic Engineering
Kate Gleason College of Engineering

585-475-2174
Office Location
Office Mailing Address
79 Lomb Memorial Drive, 09-3181 Rochester, NY 14623

Teju Das

Associate Professor, Electrical and Microelectronic Engineering

Department of Electrical and Microelectronic Engineering
Kate Gleason College of Engineering

Education

MS, Ph.D., Rochester Institute of Technology

Bio

Dr. Tejasvi Das is an Associate Professor in the Department of Electrical and Microelectronic Engineering at RIT and director of the RF/Analog/Mixed-Signal Lab (RAMLab). Prior to joining academia, he spent 15 years in the semiconductor industry, where he held several R&D leadership roles, most recently as an IC Architect at Cirrus Logic. His has led the development of numerous high-volume IC products, and he has been granted over 180 U.S. and international patents spanning analog and mixed-signal IC design, including IoT sensing, adaptive circuits, audio systems, interference robustness, self-calibration, and signal-processing algorithms.

Dr. Das received his Ph.D. from RIT under the supervision of Dr. P. R. Mukund and is an alumnus of the university. His work has been recognized with multiple best paper awards, and he serves as a member of the IEEE Analog Signal Processing Technical Committee.

At RIT, Dr. Das leads research in high-performance RF, analog, and mixed-signal integrated circuits and systems, with emphasis on neuromorphic computing, hardware security, biosensing systems, and emerging device technologies. His group pursues cross-layer approaches spanning devices, circuits, systems and experimentally validated silicon prototypes for next-generation sensing, computing, and intelligent electronic systems.

Dr. Das teaches undergraduate and graduate courses in analog and mixed-signal IC design and is actively recruiting highly motivated B.S., M.S., and Ph.D. students for research positions in RAMLab.

585-475-2174

Areas of Expertise

Select Scholarship

Papers

  • Best Paper Award: D. Zeznick, J. O'Donnell and T. Das, "A High-Efficiency LDO With Adaptive PSRR and Bandwidth Enhancements," 2025 23rd IEEE NEWCAS Conference
  • Best Student Paper Award: J. O’Donnell, E. Greenfield, H. Hendy, K. Bergthold, C. Merkel, T. Das, "Evaluating FeFET and Memristor Performance in Time-Domain Computing Applications," IEEE Midwest Symposium on Circuits and Systems
  • D. Zeznick, R. Ranganatham, J. O’Donnell, C. Adiga, W. B. Wright and T. Das, "A Sub-μA LDO With Analog Adaptive Enhancements for Scalable PSRR, Load Range, and Bandwidth Extension," in IEEE Transactions on Circuits and Systems I
  • S. Maru, M. Kost, E. King, Z. You, J. Wardlaw, X. Zhao and T. Das, “Inductive Sensing: A Phase Detector IC for Button Replacement in Mobile Devices,” IEEE International Symposium on Circuits and Systems (ISCAS), May 2025
  • R. Ranganatham, R. Ramos-Brito and T. Das, “An All Analog Temporal Power-Supply Trojan to Subvert ECG Biometric Authentication,” IEEE International Symposium on Circuits and Systems (ISCAS), May 2025
  • K. Bergthold, H. Hendy, E. Greenfield, C. Merkel, and T. Das, “Throughput Optimization for Time-Domain Neuromorphic Computing,” IEEE Transactions on Circuits and Systems II, Mar 2025
  • An analog payload trojan via power-supply harmonic coupling in front-end circuits, IEEE NEWCAS Conference, June 2024
  • Design Space Exploration of Memristor-based Delay Cells for Time-domain Neuromorphic Computing, IEEE International Symposium on Circuits and Systems, May 2024

Patents:

  • Single-capacitor inductive sense systems, US Patent 11,536,758, 2022
  • Force sensing system and method, US Patent 11,507,267, 2022
  • Frequency-selective common-mode control and output stage biasing in an operational amplifier for a class-D amplifier loop filter, US Patent 11,522,509, 2022
  • Self-calibration of input-match in RF front-end circuitry, IEEE Transactions on Circuits and Systems II, 2005
  • Interference detection and mitigation in inductive sensor applications and dynamic adaptation based on real-time noise detection, US Patent 11,093,060, 2021
  • Virtual button characterization engine, US Patent 11,079,874, 2021
  • Methods and apparatuses for providing a haptic output signal to a haptic actuator, US Patent 11,150,733, 2020
  • On-chip resonance detection and transfer function mapping of resistive-inductive-capacitive sensors, US Patent 10,935,620, 2021
  • False triggering prevention in a resonant phase sensing system, US Patent 10,642,435, 2020
  • Towards fault-tolerant RF front ends, Journal of Electronic Testing, 2006
  • Noise reduction in voltage reference signal, US Patent 10,460,819, 2019
  • Polymorphic playback system with switching oscillation prevention, US Patent 10,313,790, 2019

Currently Teaching

EEEE-480
4 Credits
This is an introductory course in analog electronic circuit analysis and design. The course covers the following topics: (1) Diode circuit DC and small-signal behavior, including rectifying as well as Zener-diode-based voltage regulation; (2) MOSFET current-voltage characteristics; (3) DC biasing of MOSFET circuits, including integrated-circuit current sources; (4) Small-signal analysis of single-transistor MOSFET amplifiers and differential amplifiers; (5) Multi-stage MOSFET amplifiers, such as cascade amplifiers, and operational amplifiers; (6) Frequency response of MOSFET-based single- and multi-stage amplifiers; (7) DC and small-signal analysis and design of bipolar junction transistor (BJT) devices and circuits; (8) Feedback and stability in MOSFET and BJT amplifiers.
EEEE-499
0 Credits
One semester of paid work experience in electrical engineering.
EEEE-510
3 Credits
This is a foundation course in analog integrated circuit design and is a prerequisite for the graduate courses in RF & mixed-signal IC design (EEEE-726 and EEEE-730). The course covers the following topics: (1) Review of CMOS technology, MOSFET models and Frequency Response (2) Single-stage amplifiers (3) Current mirrors and biasing (4) Current and voltage references (5) Differential amplifiers (6) Cascoding (7) Feedback and Stability (8) OTAs (9) Matching and layout techniques (10) Multi-stage op-amps (11) Noise Analysis (12) Linearity in analog circuits (13) Switched-cap circuits.
EEEE-610
3 Credits
This is a foundation course in analog integrated circuit design and is a prerequisite for the graduate courses in RF & mixed-signal IC design (EEEE-726 and EEEE-730). The course covers the following topics: (1) Review of CMOS technology, MOSFET models and Frequency Response (2) Single-stage amplifiers (3) Current mirrors and biasing (4) Current and voltage references (5) Differential amplifiers (6) Cascoding (7) Feedback and Stability (8) OTAs (9) Matching and layout techniques (10) Multi-stage op-amps (11) Noise Analysis (12) Linearity in analog circuits (13) Switched-cap circuits.
EEEE-726
3 Credits
This is the first course in the graduate course sequence in analog integrated circuit design EEEE-726 and EEEE-730. This course covers the following topics: (1)Fundamentals of data conversion (2) Nyquist rate digital-to-analog converters (3) Quantization noise and analysis (4) Nyquist rate analog-to-digital converters (5) Sample and hold circuits (6) Voltage references (7) Static and dynamic testing of digital-to-analog converters (8) Cell based design strategies for integrated circuits (9)Advanced topics in data conversion.
EEEE-789
3 Credits
Topics and subject areas that are not regularly offered are provided under this course. Such courses are offered in a normal format; that is, regularly scheduled class sessions with an instructor.