Evaluation of Multiplier-Less DCT Transform Using In-Exact Computing. - Uppugunduru Anil Kumar; Nishant Jain; Sumit K. Chatterjee; Syed Ershad Ahmed (MIND (2), 2020)

Power-Efficient MLOA for error resilient applications. - Sahith Guturu; Anil Kumar Uppugunduru; Sridhar Thota; Syed Ershad Ahmed (iSES, 2021)

Approximate Multiplier Architectures for Error Resilient Applications. - Uppugunduru Anil Kumar; Ratna Kumari Chintakunta; Sandeep Kumar; K. Jamal; Syed Ershad Ahmed (iSES, 2021)

Lower part OR based Approximate Multiplier for Error Resilient Applications. - Uppugunduru Anil Kumar; Goli Naga Sandesh; Dhoti Ojusteja; Syed Ershad Ahmed (iSES, 2021)

DeBAM: Decoder-Based Approximate Multiplier for Low Power Applications. - Suresh Nambi; Uppugunduru Anil Kumar; Kavya Radhakrishnan; Mythreye Venkatesan; Syed Ershad Ahmed (IEEE Embed. Syst. Lett., 2021)

Compressor based hybrid approximate multiplier architectures with efficient error correction logic. - Anil Kumar Uppugunduru; S. Vignesh Bharadwaj; Syed Ershad Ahmed (Comput. Electr. Eng., 2022)

Low-Power Compressor-Based Approximate Multipliers With Error Correcting Module. - Uppugunduru Anil Kumar; Sumit K. Chatterjee; Syed Ershad Ahmed (IEEE Embed. Syst. Lett., 2022)

A High-Speed and Power-Efficient Approximate Adder for Image Processing Applications. - Uppugunduru Anil Kumar; G. Sahith; Sumit K. Chatterjee; Syed Ershad Ahmed (J. Circuits Syst. Comput., 2022)

Design and exploration of low-power SAD architectures using approximate compressors for Integer Motion Estimation. - Uppugunduru Anil Kumar; Sahith Guturu; Syed Ershad Ahmed (Microprocess. Microsystems, 2022)

Design of Energy Efficient Posit Multiplier. - Aditya Anirudh Jonnalagadda; Anil Kumar Uppugunduru; Sreehari Veeramachaneni; Syed Ershad Ahmed (ACM Great Lakes Symposium on VLSI, 2023)

Highly Accurate Approximate Ternary Multipliers for Error Resilient Applications. - Shalini Burri; Gowtham Sri Harsha Kudulla; Pavan Kumar Jogi; Anantha Sai Satwik Vysyaraju; Uppugunduru Anil Kumar; Syed Ershad Ahmed; Sreehari Veeramachaneni (ISED, 2023)

Low Power Approximate Divider and Square Root Circuits for Error Resilient Applications. - Uppugunduru Anil Kumar; Viren Ramchandani; Syed Shakeel Hashmi; Sanjay Dubey; Syed Ershad Ahmed (ISED, 2023)

Low-Power Approximate Multiplier Architecture for Error Resilient Applications. - Apurva Kumari; Ch. Vandana; Chowta Mallikharjuna Rao; Uppugunduru Anil Kumar; Syed Ershad Ahmed (ISED, 2023)

Power Efficient Approximate Ternary Subtractor for Image Processing Applications. - Sangireddy Tharuni; Basani Harshavardhan Reddy; Bhukya Mamatha; Uppugunduru Anil Kumar; Syed Ershad Ahmed; Sreehari Veeramachaneni (iSES, 2023)

Improved approximate multiplier architecture for image processing and neural network applications. - Pramod Alamuri; Uppugunduru Anil Kumar; Vallepu Vannuru; Syed Ershad Ahmed (Microprocess. Microsystems, 2023)

A General Methodology to Optimize Flagged Constant Addition. - Aroondhati Bhure; P. Smriti; Vinay Dhanote; Uppugunduru Anil Kumar; Syed Ershad Ahmed (J. Circuits Syst. Comput., 2023)

Design methodology for highly accurate approximate multipliers for error resilient applications. - Sahith Guturu; Uppugunduru Anil Kumar; S. Vignesh Bharadwaj; Syed Ershad Ahmed (Comput. Electr. Eng., 2023)

CAAM: Compressor-Based Adaptive Approximate Multiplier for Neural Network Applications. - Uppugunduru Anil Kumar; S. Vignesh Bharadwaj; Avinash Bhat Pattaje; Suresh Nambi; Syed Ershad Ahmed (IEEE Embed. Syst. Lett., 2023)

Energy-Efficient Ternary Multiplier. - Rishi Agrawal; Narayanabhatla Savyasachi Abhijith; Uppugunduru Anil Kumar; Sreehari Veeramachaneni; Syed Ershad Ahmed (AICAS, 2024)

Energy Efficient Approximate Ternary Adder for Image Processing Applications. - Dhananjay Rao Thallikar Shyam; Uppugunduru Anil Kumar; Subham Prasad Dash; Syed Ershad Ahmed (ISED, 2024)

ADEPNET: A Dynamic-Precision Efficient Posit Multiplier for Neural Networks. - Aditya Anirudh Jonnalagadda; Uppugunduru Anil Kumar; Rishi Thotli; Satvik Sardesai; Sreehari Veeramachaneni; Syed Ershad Ahmed (IEEE Access, 2024)

HEAD: High-Speed Approximate HEterogeneous ADder for Error-Resilient Applications. - Sahith Guturu; Uppugunduru Anil Kumar; Shruti Verma; Syed Ershad Ahmed (J. Circuits Syst. Comput., 2024)

A Power-Efficient Gaussian Filter Architecture Using Adder Compressors for Edge Detection Application. - Sahith Guturu; Anil Kumar Uppugunduru; Apoorva Sharma; Syed Ershad Ahmed (Circuits Syst. Signal Process., 2025)

Energy-Efficient Decoding and Encoding Hardware for Optimized Posit Arithmetic. - Aditya Anirudh Jonnalagadda; Rishi Thotli; Sreehari Veeramachaneni; Uppugunduru Anil Kumar; Syed Ershad Ahmed (IEEE Embed. Syst. Lett., 2025)