Loop Overhead Reduction Techniques for Coarse Grained Reconfigurable Architectures. - Kanishkan Vadivel; Mark Wijtvliet; Roel Jordans; Henk Corporaal (DSD, 2017)

CIM-SIM: Computation In Memory SIMuIator. - Ali BanaGozar; Kanishkan Vadivel; Sander Stuijk; Henk Corporaal; Stephan Wong; Muath Abu Lebdeh; Jintao Yu; Said Hamdioui (SCOPES, 2019)

Towards Efficient Code Generation for Exposed Datapath Architectures. - Kanishkan Vadivel; Roel Jordans; Sander Stuijk; Henk Corporaal; Pekka Jääskeläinen; Heikki Kultala (SCOPES, 2019)

TDO-CIM: Transparent Detection and Offloading for Computation In-memory. - Kanishkan Vadivel; Lorenzo Chelini; Ali BanaGozar; Gagandeep Singh 002; Stefano Corda; Roel Jordans; Henk Corporaal (DATE, 2020)

PET-to-MLIR: A polyhedral front-end for MLIR. - Konrad Komisarczyk; Lorenzo Chelini; Kanishkan Vadivel; Roel Jordans; Henk Corporaal (DSD, 2020)

System Simulation of Memristor Based Computation in Memory Platforms. - Ali BanaGozar; Kanishkan Vadivel; Joonas Multanen; Pekka Jääskeläinen; Sander Stuijk; Henk Corporaal (SAMOS, 2020)

SACA: System-level Analog CIM Accelerators Simulation Framework: Accurate Simulation of Non-Ideal Components. - Fernando García-Redondo; Ali BanaGozar; Kanishkan Vadivel; Henk Corporaal; Shidhartha Das (DCIS, 2022)

SACA: System-level Analog CIM Accelerators Simulation Framework: Architecture and Cycle-accurate System-to-device Simulator. - Kanishkan Vadivel; Fernando García-Redondo; Ali BanaGozar; Henk Corporaal; Shidhartha Das (DCIS, 2022)

Prebypass: Software Register File Bypassing for Reduced Interconnection Architectures. - Kanishkan Vadivel; Barry de Bruin; Roel Jordans; Henk Corporaal; Pekka Jääskeläinen (DSD, 2022)

Scaling NVMs in Event-Driven Architectures for Edge Inference. - Junren Chen; Kanishkan Vadivel; Dawit Burusie Abdi; Priya Venugopal; Refik Bilgic; Giacomo Indiveri; Fernando García-Redondo; Dwaipayan Biswas (APCCAS, 2024)

TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-Based Vision. - Cina Arjmand; Yingfu Xu; Kevin Shidqi; Alexandra F. Dobrita; Kanishkan Vadivel; Paul Detterer; Manolis Sifalakis; Amirreza Yousefzadeh; Guangzhi Tang (ICONS, 2024)

SENSIM: An Event-driven Parallel Simulator for Multi-core Neuromorphic Systems. - Prithvish Nembhani; Kanishkan Vadivel; Guangzhi Tang; Mohammad Tahghighi; Gert-Jan van Schaik; Manolis Sifalakis; Zaid Al-Ars; Amirreza Yousefzadeh (IJCNN, 2024)

EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction. - Alexandra F. Dobrita; Amirreza Yousefzadeh; Simon Thorpe; Kanishkan Vadivel; Paul Detterer; Guangzhi Tang; Gert-Jan van Schaik; Mario Konijnenburg; Anteneh Gebregiorgis; Said Hamdioui; Manolis Sifalakis (CoRR, 2024)

R-Blocks: an Energy-Efficient, Flexible, and Programmable CGRA. - Barry de Bruin; Kanishkan Vadivel; Mark Wijtvliet; Pekka Jääskeläinen; Henk Corporaal (ACM Trans. Reconfigurable Technol. Syst., 2024)

Multi-Partner Project: A Deep Learning Platform Targeting Embedded Hardware for Edge-AI Applications (NEUROKIT2E). - Rajendra Bishnoi; Mohammad Amin Yaldagard; Said Hamdioui; Kanishkan Vadivel; Manolis Sifalakis; Nicolas Daniel Rodriguez; Pedro Julián; Lothar Ratschbacher; Maen Mallah; Yogesh Ramesh Patil; Rashid Ali; Fabian Chersi (DATE, 2025)

Efficient Synaptic Delay Implementation in Digital Event-Driven AI Accelerators. - Roy Meijer; Paul Detterer; Amirreza Yousefzadeh; Alberto Patiño-Saucedo; Guanghzi Tang; Kanishkan Vadivel; Yinfu Xu; Manil Dev Gomony; Federico Corradi; Bernabé Linares-Barranco; Manolis Sifalakis (CoRR, 2025)

SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems. - Prithvish Nembhani; Oliver Rhodes; Guangzhi Tang; Alexandra F. Dobrita; Yingfu Xu; Kanishkan Vadivel; Kevin Shidqi; Paul Detterer; Mario Konijnenburg; Gert-Jan van Schaik; Manolis Sifalakis; Zaid Al-Ars; et al. (CoRR, 2025)