Technology mapping flow for emerging reconfigurable silicon nanowire transistors. - Shubham Rai; Michael Raitza; Akash Kumar 001 (DATE, 2018)

A physical synthesis flow for early technology evaluation of silicon nanowire based reconfigurable FETs. - Shubham Rai; Ansh Rupani; Dennis Walter; Michael Raitza; Andre Heinzig; Tim Baldauf; Jens Trommer; Christian Mayr 001; Walter M. Weber; Akash Kumar 001 (DATE, 2018)

Emerging reconfigurable nanotechnologies: can they support future electronics? - Shubham Rai; Srivatsa Rangachar Srinivasa; Patsy Cadareanu; Xunzhao Yin; Xiaobo Sharon Hu; Pierre-Emmanuel Gaillardon; Vijaykrishnan Narayanan; Akash Kumar 001 (ICCAD, 2018)

Exploiting Emerging Reconfigurable Technologies for Secure Devices. - Ansh Rupani; Shubham Rai; Akash Kumar 001 (DSD, 2019)

Hardware Watermarking Using Polymorphic Inverter Designs Based On Reconfigurable Nanotechnologies. - Shubham Rai; Ansh Rupani; Pallab Nath; Akash Kumar 001 (ISVLSI, 2019)

Designing Efficient Circuits Based on Runtime-Reconfigurable Field-Effect Transistors. - Shubham Rai; Jens Trommer; Michael Raitza; Thomas Mikolajick; Walter M. Weber; Akash Kumar 001 (IEEE Trans. Very Large Scale Integr. Syst., 2019)

DiSCERN: Distilling Standard-Cells for Emerging Reconfigurable Nanotechnologies. - Shubham Rai; Michael Raitza; Siva Satyendra Sahoo; Akash Kumar 001 (DATE, 2020)

A CORDIC Based Configurable Activation Function for ANN Applications. - Gopal Raut; Shubham Rai; Santosh Kumar Vishvakarma; Akash Kumar 001 (ISVLSI, 2020)

Vertical IP Protection of the Next-Generation Devices: Quo Vadis? - Shubham Rai; Siddharth Garg; Christian Pilato; Vladimir Herdt; Elmira Moussavi; Dominik Sisejkovic; Ramesh Karri; Rolf Drechsler; Farhad Merchant; Akash Kumar 001 (DATE, 2021)

Perspectives on Emerging Computation-in-Memory Paradigms. - Shubham Rai; Mengyun Liu; Anteneh Gebregiorgis; Debjyoti Bhattacharjee; Krishnendu Chakrabarty; Said Hamdioui; Anupam Chattopadhyay; Jens Trommer; Akash Kumar 001 (DATE, 2021)

Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. - Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; et al. (DATE, 2021)

Preserving Self-Duality During Logic Synthesis for Emerging Reconfigurable Nanotechnologies. - Shubham Rai; Heinz Riener; Giovanni De Micheli; Akash Kumar 001 (DATE, 2021)

Exploring Physical Synthesis for Circuits based on Emerging Reconfigurable Nanotechnologies. - Andreas Krinke; Shubham Rai; Akash Kumar 001; Jens Lienig (ICCAD, 2021)

RL-Guided Runtime-Constrained Heuristic Exploration for Logic Synthesis. - Yasasvi V. Peruvemba; Shubham Rai; Kapil Ahuja; Akash Kumar 001 (ICCAD, 2021)

Metastability with Emerging Reconfigurable Transistors: Exploiting Ambipolarity for Throughput. - Abhiroop Bhattacharjee; Shubham Rai; Ansh Rupani; Michael Raitza; Akash Kumar 001 (VLSI-SoC, 2021)

END-TRUE: Emerging Nanotechnology-Based Double-Throughput True Random Number Generator. - Shubham Rai; Nishant Gupta; Abhiroop Bhattacharjee; Ansh Rupani; Michael Raitza; Jens Trommer; Thomas Mikolajick; Akash Kumar 001 (VLSI-SoC (Selected Papers), 2021)

A Survey of FPGA Logic Cell Designs in the Light of Emerging Technologies. - Shubham Rai; Pallab Nath; Ansh Rupani; Santosh Kumar Vishvakarma; Akash Kumar 001 (IEEE Access, 2021)

RECON: Resource-Efficient CORDIC-Based Neuron Architecture. - Gopal Raut; Shubham Rai; Santosh Kumar Vishvakarma; Akash Kumar 001 (IEEE Open J. Circuits Syst., 2021)

Correction to "RECON: Resource-Efficient CORDIC-Based Neuron Architecture". - Gopal Raut; Shubham Rai; Santosh Kumar Vishvakarma; Akash Kumar 001 (IEEE Open J. Circuits Syst., 2021)

A Versatile Mapping Approach for Technology Mapping and Graph Optimization. - Alessandro Tempia Calvino; Heinz Riener; Shubham Rai; Akash Kumar 001; Giovanni De Micheli (ASP-DAC, 2022)

DELTA: DEsigning a stealthy trigger mechanism for analog hardware trojans and its detection analysis. - Nishant Gupta; Mohil Sandip Desai; Mark Wijtvliet; Shubham Rai; Akash Kumar 001 (DAC, 2022)

Exploring Standard-Cell Designs for Reconfigurable Nanotechnologies: A Formal Approach. - Michael Raitza; Steffen Märcker; Shubham Rai; Akash Kumar 001 (DATE, 2022)

Improving Technology Mapping for And-Inverter-Cones. - Martin Thümmler; Shubham Rai; Akash Kumar 001 (DATE, 2022)

NetPU: Prototyping a Generic Reconfigurable Neural Network Accelerator Architecture. - Yuhao Liu; Shubham Rai; Salim Ullah; Akash Kumar 001 (FPT, 2022)

ENTANGLE: An Enhanced Logic-locking Technique for Thwarting SAT and Structural Attacks. - Armin Darjani; Nima Kavand; Shubham Rai; Mark Wijtvliet; Akash Kumar 001 (ACM Great Lakes Symposium on VLSI, 2022)

Securing Hardware through Reconfigurable Nano-Structures. - Nima Kavand; Armin Darjani; Shubham Rai; Akash Kumar 001 (ICCAD, 2022)

SCRAMBLE: A Secure and Configurable, Memristor-Based Neuromorphic Hardware Leveraging 3D Architecture. - Nikhil Rangarajan; Satwik Patnaik; Mohammed Nabeel 001; Mohammed Ashraf; Shubham Rai; Gopal Raut; Heba Abunahla; Baker Mohammad; Santosh Kumar Vishvakarma; Akash Kumar 001; Johann Knechtel; Ozgur Sinanoglu (ISVLSI, 2022)

Efficient Privacy-Aware Federated Learning by Elimination of Downstream Redundancy. - Aditya Lohana; Ansh Rupani; Shubham Rai; Akash Kumar 001 (IEEE Des. Test, 2022)

Security Promises and Vulnerabilities in Emerging Reconfigurable Nanotechnology-Based Circuits. - Shubham Rai; Satwik Patnaik; Ansh Rupani; Johann Knechtel; Ozgur Sinanoglu; Akash Kumar 001 (IEEE Trans. Emerg. Top. Comput., 2022)

Discerning Limitations of GNN-based Attacks on Logic Locking. - Armin Darjani; Nima Kavand; Shubham Rai; Akash Kumar 001 (DAC, 2023)

Design Enablement Flow for Circuits with Inherent Obfuscation based on Reconfigurable Transistors. - Jens Trommer; Niladri Bhattacharjee; Thomas Mikolajick; Sebastian Huhn 001; Marcel Merten; Mohammed E. Djeridane; Muhammad Hassan 002; Rolf Drechsler; Shubham Rai; Nima Kavand; Armin Darjani; Akash Kumar 001; et al. (DATE, 2023)

NetPU-M: a Generic Reconfigurable Neural Network Accelerator Architecture for MLPs. - Yuhao Liu; Shubham Rai; Salim Ullah; Akash Kumar 001 (IPDPS Workshops, 2023)

Reconfigurable FET Approximate Computing-based Accelerator for Deep Learning Applications. - Raghul Saravanan; Sathwika Bavikadi; Shubham Rai; Akash Kumar 001; Sai Manoj Pudukotai Dinakarrao (ISCAS, 2023)

Formal Analysis of Camouflaged Reconfigurable Circuits. - Steffen Märcker; Michael Raitza; Shubham Rai; Giulio Galderisi; Thomas Mikolajick; Jens Trommer; Akash Kumar 001 (NEWCAS, 2023)

Utilizing XMG-Based Synthesis to Preserve Self-Duality for RFET-Based Circuits. - Shubham Rai; Alessandro Tempia Calvino; Heinz Riener; Giovanni De Micheli; Akash Kumar 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Design of Energy-Efficient RFET-Based Exact and Approximate 4:2 Compressors and Multipliers. - Nima Kavand; Armin Darjani; Shubham Rai; Akash Kumar 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

High-Flexibility Designs of Quantized Runtime Reconfigurable Multi-Precision Multipliers. - Yuhao Liu; Shubham Rai; Salim Ullah; Akash Kumar 001 (IEEE Embed. Syst. Lett., 2023)

CoNAX: Towards Comprehensive Co-Design Neural Architecture Search Using HW Abstractions. - Yannick Braatz; Taha Soliman; Shubham Rai; Dennis Sebastian Rieber; Oliver Bringmann 001 (ASAP, 2024)

Accelerating Automated Driving and ADAS Using HW/SW Codesign. - Shubham Rai; Cecilia De la Parra; Martin Rapp; Jan Micha Borrmann; Nina Bretz; Stefan Metzlaff; Taha Soliman; Christoph Schorn (SOCC, 2024)

Thwarting GNN-Based Attacks Against Logic Locking. - Armin Darjani; Nima Kavand; Shubham Rai; Akash Kumar 001 (IEEE Trans. Inf. Forensics Secur., 2024)

MixA-Q: Revisiting Activation Sparsity for Vision Transformers from a Mixed-Precision Quantization Perspective. - Weitian Wang; Shubham Rai; Cecilia De la Parra; Akash Kumar 001 (CoRR, 2025)