Arnab Raha
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
13
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISLPED | COSMOS: Designing Energy-Efficient Context-Aware Multimodal Cognitive Systems. | Arghadip Das, Yatharth Agarwal, Soumendu Kumar Ghosh, Arnab Raha, Vijay Raghunathan |
| 2026 | VLSID | RamForm: A Ramanujan Wavelet Transform-Based Accelerator for Energy-Efficient Signal Processing. | Arya Pandit, Soham Das, Arghadip Das, Debaprasad De, Arnab Raha, Mrinal Kanti Naskar |
| 2025 | DAC | Machine Learning-Driven STL Generation for Enhancing Functional Safety of E/E Systems. | Sanjay Das, Swastik Bhattacharya, Anand Menon, Shamik Kundu, Pooja Madhusoodhanan, Prasanth Viswanathan Pillai, Rubin A. Parekhji, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu |
| 2025 | IJCNN | GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units. | Arghadip Das, Shamik Kundu, Arnab Raha, Soumendu Kumar Ghosh, Deepak Mathaikutty, Vijay Raghunathan |
| 2025 | ISLPED | Demo Abstract: ECO: Low Power Context-Aware Multimodal AI on NPUs. | Arghadip Das, Yatharth Agarwal, Soumendu Kumar Ghosh, Arnab Raha, Vijay Raghunathan |
| 2025 | ISLPED | Demo Abstract: A Low-Power Real-Time Hardware Accelerator for Edge Detection Using Stochastic Computing. | Priyajit Ghosh, Rajarshi Mukherjee, Auro Anand Saha, Sutirtha Naha, Arghadip Das, Arnab Raha, Mrinal Kanti Naskar |
| 2025 | ISLPED | Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator. | Akshat Ramachandran, Souvik Kundu, Arnab Raha, Shamik Kundu, Deepak K. Mathaikutty, Tushar Krishna |
| 2025 | VTS | OpenAssert: Towards Secure Assertion Generation using Large Language Models. | Anand Menon, Samit Shahnawaz Miftah, Amisha Srivastava, Shamik Kundu, Shovik Kundu, Arnab Raha, Suvadeep Banerjee, Deepak Mathaikutty, Kanad Basu |
| 2024 | DAC | Graph Learning-based Fault Criticality Analysis for Enhancing Functional Safety of E/E Systems. | Sanjay Das, Shamik Kundu, Pooja Madhusoodhanan, Viswanathan Pillai Prasanth, Rubin A. Parekhji, Arnab Raha, Suvadeep Banerjee, Suriya Natarajan, Kanad Basu |
| 2024 | ISLPED | SwiSS: Switchable Single-Sided Sparsity-based DNN Accelerators. | Shamik Kundu, Soumendu Kumar Ghosh, Arnab Raha, Deepak A. Mathaikutty |
| 2024 | VLSID | HARVEST: Towards Efficient Sparse DNN Accelerators using Programmable Thresholds. | Soumendu Kumar Ghosh, Shamik Kundu, Arnab Raha, Deepak A. Mathaikutty, Vijay Raghunathan |
| 2023 | ITC | Enhanced ML-Based Approach for Functional Safety Improvement in Automotive AMS Circuits. | Ayush Arunachalam, Sanjay Das, Monikka Rajan, Fei Su, Xiankun Jin, Suvadeep Banerjee, Arnab Raha, Suriyaprakash Natarajan, Kanad Basu |
| 2022 | ITC | Unsupervised Learning-based Early Anomaly Detection in AMS Circuits of Automotive SoCs. | Ayush Arunachalam, Athulya Kizhakkayil, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Robert Jin, Fei Su, Kanad Basu |
| 2022 | ITC | RIBoNN: Designing Robust In-Memory Binary Neural Network Accelerators. | Shamik Kundu, Akul Malhotra, Arnab Raha, Sumeet Kumar Gupta, Kanad Basu |
| 2022 | VLSID | SCENIC: An Area and Energy-Efficient CNN-based Hardware Accelerator for Discernable Classification of Brain Pathologies using MRI. | Bodepu Sai Tirumala Naidu, Shreya Biswas, Rounak Chatterjee, Sayak Mandal, Srijan Pratihar, Ayan Chatterjee, Arnab Raha, Amitava Mukherjee, Janet Paluh |
| 2022 | VTS | Special Session: Effective In-field Testing of Deep Neural Network Hardware Accelerators. | Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Kanad Basu |
| 2021 | ICCD | Special Session: Approximate TinyML Systems: Full System Approximations for Extreme Energy-Efficiency in Intelligent Edge Devices. | Arnab Raha, Soumendu Ghosh, Debabrata Mohapatra, Deepak A. Mathaikutty, Raymond Sung, Cormac Brick, Vijay Raghunathan |
| 2021 | VLSID | PreSyNC: Hardware realization of the Presynaptic Region of a Biologically Extensive Neuronal Circuitry. | Rounak Chatterjee, Souradeep Chowdhury, Soham Mondal, Arnab Raha, Janet Paluh, Amitava Mukherjee |
| 2021 | VLSID | HIPER: Low Power, High Performance and Area-Efficient Hardware Accelerators for Hidden Periodicity Detection using Ramanujan Filter Banks. | Arghadip Das, Chandrachur Majumder, Debaprasad De, Arnab Raha, Mrinal Kanti Naskar |
| 2021 | VLSID | Design Considerations for Edge Neural Network Accelerators: An Industry Perspective. | Arnab Raha, Sang Kyun Kim, Deepak Mathaikutty, Guruguhanathan Venkataramanan, Debabrata Mohapatra, Raymond Sung, Cormac Brick, Gautham N. Chinya |
| 2020 | ICCD | IPS-CiM: Enhancing Energy Efficiency of Intermittently-Powered Systems with Compute-in-Memory. | Sandeep Krishna Thirumala, Arnab Raha, Vijay Raghunathan, Sumeet Kumar Gupta |
| 2020 | ISLPED | Approximate inference systems (AxIS): end-to-end approximations for energy-efficient inference at the edge. | Soumendu Kumar Ghosh, Arnab Raha, Vijay Raghunathan |
| 2018 | ISLPED | Dual Mode Ferroelectric Transistor based Non-Volatile Flip-Flops for Intermittently-Powered Systems. | Sandeep Krishna Thirumala, Arnab Raha, Hrishikesh Jayakumar, Kaisheng Ma, Narayanan Vijaykrishnan, Vijay Raghunathan, Sumeet Kumar Gupta |
| 2017 | DAC | Towards Full-System Energy-Accuracy Tradeoffs: A Case Study of An Approximate Smart Camera System. | Arnab Raha, Vijay Raghunathan |
| 2017 | ISLPED | Approximate memory compression for energy-efficiency. | Ashish Ranjan, Arnab Raha, Vijay Raghunathan, Anand Raghunathan |
| 2016 | ASPDAC | Energy-efficient system design for IoT devices. | Hrishikesh Jayakumar, Arnab Raha, Younghyun Kim, Soubhagya Sutar, Woo Suk Lee, Vijay Raghunathan |
| 2016 | CASES | D-PUF: an intrinsically reconfigurable DRAM PUF for device authentication in embedded systems. | Soubhagya Sutar, Arnab Raha, Vijay Raghunathan |
| 2016 | VLSID | Energy-Aware Memory Mapping for Hybrid FRAM-SRAM MCUs in IoT Edge Devices. | Hrishikesh Jayakumar, Arnab Raha, Vijay Raghunathan |
| 2015 | CASES | Quality-aware data allocation in approximate DRAM? | Arnab Raha, Hrishikesh Jayakumar, Soubhagya Sutar, Vijay Raghunathan |
| 2015 | DATE | Quality configurable reduce-and-rank for energy efficient approximate computing. | Arnab Raha, Swagath Venkataramani, Vijay Raghunathan, Anand Raghunathan |
| 2015 | WCNC | VIDalizer: An energy efficient video streamer. | Arnab Raha, Subrata Mitra, Vijay Raghunathan, Sanjay G. Rao |
| 2014 | DATE | ASLAN: Synthesis of approximate sequential circuits. | Ashish Ranjan, Arnab Raha, Swagath Venkataramani, Kaushik Roy, Anand Raghunathan |
| 2014 | ISLPED | Powering the internet of things. | Hrishikesh Jayakumar, Kangwoo Lee, Woo Suk Lee, Arnab Raha, Younghyun Kim, Vijay Raghunathan |
| 2014 | VLSID | QUICKRECALL: A Low Overhead HW/SW Approach for Enabling Computations across Power Cycles in Transiently Powered Computers. | Hrishikesh Jayakumar, Arnab Raha, Vijay Raghunathan |
| 2014 | VLSID | A Power Efficient Video Encoder Using Reconfigurable Approximate Arithmetic Units. | Arnab Raha, Hrishikesh Jayakumar, Vijay Raghunathan |
| 2012 | IWCMC | An optimal sensor deployment scheme to ensure multi level coverage and connectivity in wireless sensor networks. | Arnab Raha, Shovan Maity, Mrinal Kanti Naskar, Omar Alfandi, Dieter Hogrefe |
| 2012 | TrustCom | Fuzzy Logic Election of Node for Routing in WSNs. | Shaik Sahil Babu, Arnab Raha, Mrinal Kanti Naskar, Omar Alfandi, Dieter Hogrefe |