Design and implementation of real time secured RS232 link for multiple FPGA communication. - Suman Sau; Chandrajit Pal; Amlan Chakrabarti (ICCCS, 2011)

A brief experience on journey through hardware developments for image processing and its applications on Cryptography - Sangeet Saha; Chandrajit Pal; Rourab Paul; Satyabrata Maity; Suman Sau (CoRR, 2012)

Audio de-noising by spectral subtraction technique implemented on reconfigurable hardware. - Tanmay Biswas; Chandrajit Pal; Sudhindu Bikash Mandal; Amlan Chakrabarti (IC3, 2014)

Design space exploration for image processing architectures on FPGA targets. - Chandrajit Pal; Avik Kotal; Asit Samanta; Amlan Chakrabarti; Ranjan Ghosh (CoRR, 2014)

An efficient hardware design of SIFT algorithm using fault tolerant reversible logic. - Chandrajit Pal; Pabitra Das; Sudhindu Bikash Mandal; Amlan Chakrabarti; Samik Basu 003; Ranjan Ghosh (ReTIS, 2015)

A Brief Survey of Recent Edge-Preserving Smoothing Algorithms on Digital Images. - Chandrajit Pal; Amlan Chakrabarti; Ranjan Ghosh (CoRR, 2015)

An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images. - Chandrajit Pal; Avik Kotal; Asit Samanta; Amlan Chakrabarti; Ranjan Ghosh (Int. J. Reconfigurable Comput., 2016)

Architecture for complex network measures of brain connectivity. - Chandrajit Pal; Dwaipayan Biswas; Koushik Maharatna; Amlan Chakrabarti (ISCAS, 2017)

Rician noise removal in magnitude MRI images using efficient anisotropic diffusion filtering. - Chandrajit Pal; Pabitra Das; Amlan Chakrabarti; Ranjan Ghosh (Int. J. Imaging Syst. Technol., 2017)

Modified Huffman based compression methodology for Deep Neural Network Implementation on Resource Constrained Mobile Platforms. - Chandrajit Pal; Sunil Pankaj; Wasim Akram; Amit Acharyya; Dwaipayan Biswas (ISCAS, 2018)

Enterprise Class Deep Neural Network Architecture for recognizing objects and faces for surveillance systems. - Govardhan Mattela; Chandrajit Pal; Manmohan Tripathi; Rohit Gavval; Amit Acharyya (COMSNETS, 2019)

An Efficient Pipeline for Distant Person Detection and Identification in 4K Video using GPUs. - Govardhan Mattela; Manmohan Tripathi; Chandrajit Pal; Rampelli Sai Dhiraj; Amit Acharyya (COMSNETS, 2020)

Adaptive denoising of 3D volumetric MR images using local variance based estimator. - Pabitra Das; Chandrajit Pal; Amlan Chakrabarti; Amit Acharyya; Saumyajit Basu (Biomed. Signal Process. Control., 2020)

A novel deep neural design and efficient Pipeline architecture for Person Re-Identification in high resolution Video. - Govardhan Mattela; Manmohan Tripathi; Chandrajit Pal (COMSNETS, 2021)

Deep neural network for automated simultaneous intervertebral disc (IVDs) identification and segmentation of multi-modal MR images. - Pabitra Das; Chandrajit Pal; Amit Acharyya; Amlan Chakrabarti; Saumyajit Basu (Comput. Methods Programs Biomed., 2021)

Light Weight RL Based Run Time Power Management Methodology for Edge Devices. - Ratnala Vinay; Pradip Sasmal; Chandrajit Pal; Toshihisa Haraki; Kazuhiro Tamura; Chirag Juyal; Mohamed Amir Gabir Elbakri; Sumohana S. Channappayya; Amit Acharyya (ICECS 2022, 2022)

SqueezeVGGNet: A Methodology for designing low complexity VGG Architecture for Resource Constraint Edge Applications. - Ramesh Reddy Chandrapu; Chandrajit Pal; Anagha Nimbekar; Amit Acharyya (NEWCAS, 2022)

Clustered Network Adaptation Methodology for the Resource Constrained Platform. - Pratibha Verma; Pradip Sasmal; Chandrajit Pal; Sumohana S. Channappayya; Amit Acharyya (NEWCAS, 2022)

Fragmented Huffman-Based Compression Methodology for CNN Targeting Resource-Constrained Edge Devices. - Chandrajit Pal; Sunil Pankaj; Wasim Akram; Dwaipayan Biswas; Govardhan Mattela; Amit Acharyya (Circuits Syst. Signal Process., 2022)

A Novel Approach in WiFi CSI-Based Fall Detection. - Govardhan Mattela; Manmohan Tripathi; Chandrajit Pal (SN Comput. Sci., 2022)

Power and Memory Efficient High-Speed RL Based Run time Power Manager for Edge Computation. - Ratnala Vinay; Kartik Laad; Chandrajit Pal; Pradip Sasmal; Toshihisa Haraki; Chirag Juyal; Mohamed Amir Gabir Elbakri; Amit Acharyya (MWSCAS, 2023)

Anomaly Behaviour tracing of CHERI-RISC V using Hardware-Software Co-design. - Michal Borowski; Chandrajit Pal; Sangeet Saha; Ludovico Poli; Xiaojun Zhai; Klaus D. McDonald-Maier (NEWCAS, 2023)

SqueezeNetVLAD: High-speed power and memory efficient GPS less accurate network model for visual place recognition on the edge. - Chandrajit Pal; Pratibha Verma; Himanshu Rohit; Dubacharla Gyaneshwar; Sumohana S. Channappayya; Amit Acharyya (NEWCAS, 2023)

REALITY: RL-PowEred AnomaLy Detection with Imprecise Computing in MulTi-Core SYstems. - Chandrajit Pal; Sangeet Saha; Xiaojun Zhai; Klaus D. McDonald-Maier (COINS, 2024)

NIRVANA: Non-Invasive Real-Time VulnerAbility ANAlysis for RISC-V Processor. - Jiacheng Zhu; Xuqi Zhu; Michal Borowski; Huaizhi Zhang; Chandrajit Pal; Sangeet Saha; Dongbing Gu; Klaus D. McDonald-Maier; Xiaojun Zhai (COINS, 2024)

Fast, Scalable, Energy-Efficient Non-element-wise Matrix Multiplication on FPGA. - Xuqi Zhu; Huaizhi Zhang; JunKyu Lee; Jiacheng Zhu; Chandrajit Pal; Sangeet Saha; Klaus D. McDonald-Maier; Xiaojun Zhai (CoRR, 2024)

Cocoa-Net: Performance Analysis on Classification of Cocoa Beans Using Structural Image Feature. - Chandrajit Pal; Samikshan Das; Amitava Akuli; Sudip Kumar Adhikari; Aniruddha Dey (Informatica (Slovenia), 2024)

RENOWNED: A Real-Time Anomaly Detection and Mitigation Framework in Edge-Enabled IoV. - Chandrajit Pal; Sangeet Saha; Xiaojun Zhai; Klaus D. McDonald-Maier (IEEE Internet Things J., 2025)