"Analog Design is not black or white as in "ones" and "zeros", it is shades of gray."


I am currently pursuing my Ph.D. in Electrical Engineering with specialization in Microelectronics and VLSI from the Indian Institute of Technology, Kanpur (IIT Kanpur). My research interests include Analog Circuit Design. I received my B.Tech-M.Tech Dual degree in 2021 from the Indian Institute of Technology, Kanpur. In my bachelor years, I worked with Prof. R. M. Hegde on developing routing protocols for efficient communicaion in time-varying IoT networks. I also worked on application of Machine learning to digital camera (to enable intelligent optimization in camera) as a summer intern in Samsung Research Institute, Delhi. Please find my brief CV here .

Research Experience

Tunable Chebyshev Low-Pass Filter Having Maximum Bandwidth of >20 GHz in 65 nm CMOS

I worked on designing and tape-out of a 3rd order Gm-C filter, which uses OTAs with tunable transconductances. Preliminary simulations show that the resulting filter can achieve a maximum bandwidth of > 20 GHz, at least a 2× improvement over the current state-of-the-art. Moreover, the filter’s response is accurate over a temperature range of 0⁰-70⁰ C with a wide tunable range in the bandwidth of over a decade. The current research is focused on pushing the maximum achievable bandwidth to the mm-Wave regime by further optimizing the filter architecture.



  • Mayank Anupam, Harshit Rathore and Imon Mondal, “Bandwidth-Enhanced Feedforward Amplifier with Shared Class-AB Gain and Compensation Paths,” to appear in Proc. 2022 IEEE ISCAS, Austin, USA. paper


  • S. Redhu, M. Anupam and R. M. Hegde, “Optimal Relay Node Selection for Robust Data Forwarding Over Time-Varying IoT Networks,” IEEE Transactions on Vehicular Technology, vol. 68, no. 9, pp. 9178-9190, Sept. 2019. paper