| 2026 | AAAI | MetaCipher: A Time-Persistent and Universal Multi-Agent Framework for Cipher-Based Jailbreak Attacks for LLMs. | Boyuan Chen, Minghao Shao, Abdul Basit, Siddharth Garg, Muhammad Shafique |
| 2026 | AAAI | Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark. | Minghao Shao, Nanda Rani, Kimberly Milner, Haoran Xi, Meet Udeshi, Saksham Aggarwal, Venkata Sai Charan Putrevu, Sandeep K. Shukla, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique |
| 2026 | DATE | PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices. | Nandish Chattopadhyay, Abdul Basit, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique |
| 2026 | DATE | FAQNAS: FLOPs-aware Hybrid Quantum Neural Architecture Search using Genetic Algorithm. | Muhammad Kashif, Shaf Khalid, Alberto Marchisio, Nouhaila Innan, Muhammad Shafique |
| 2026 | DATE | QSLM: A Performance- and Memory-aware Quantization Framework with Tiered Search Strategy for Spike-driven Language Models. | Rachmad Vidya Wicaksana Putra, Pasindu Wickramasinghe, Muhammad Shafique |
| 2026 | DATE | Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models. | Muhammad Shafique, Abdul Basit, Muhammad Abdullah Hanif, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Minghao Shao |
| 2026 | IOLTS | Trustworthy Neuromorphic and Quantum Machine Learning: Challenges and Emerging Directions. | Alberto Marchisio, Muhammad Shafique |
| 2025 | DAC | CognitiveArm: Enabling Real-Time EEG-Controlled Prosthetic Arm Using Embodied Machine Learning. | Abdul Basit, Maha Nawaz, Saim Rehman, Muhammad Shafique |
| 2025 | DAC | Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality? | Muhammad Kashif, Alberto Marchisio, Muhammad Shafique |
| 2025 | DAC | Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems. | Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique |
| 2025 | DAC | ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search. | Azaz-Ur-Rehman Nasir, Samroz Ahmad Shoaib, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2025 | DAC | ADVeRL-ELF: ADVersarial ELF Malware Generation using Reinforcement Learning. | Akshara Ravi, Vivek Chaturvedi, Muhammad Shafique |
| 2025 | ICCV | ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches. | Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique |
| 2025 | ICML | EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities. | Talor Abramovich, Meet Udeshi, Minghao Shao, Kilian Lieret, Haoran Xi, Kimberly Milner, Sofija Jancheska, John Yang, Carlos E. Jimenez, Farshad Khorrami, Prashanth Krishnamurthy, Brendan Dolan-Gavitt, Muhammad Shafique, Karthik R. Narasimhan, Ramesh Karri, Ofir Press |
| 2025 | IJCNN | Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks. | Tasnim Ahmed, Alberto Marchisio, Muhammad Kashif, Muhammad Shafique |
| 2025 | IJCNN | BRAVE: Brain-Controlled Prosthetic Arm with Voice Integration and Embodied Learning for Enhanced Mobility. | Abdul Basit, Maha Nawaz, Muhammad Shafique |
| 2025 | IJCNN | ROVER: Autonomous Open-Vocabulary Object Searching in Unexplored Environments Using VLM-Driven Scene Understanding. | Abdul Basit, Niraj Pudasaini, Muhammad Shafique |
| 2025 | IJCNN | Model Cascading for Code: A Cascaded Black-Box Multi-Model Framework for Cost-Efficient Code Completion with Self-Testing. | Boyuan Chen, Mingzhi Zhu, Brendan Dolan-Gavitt, Muhammad Shafique, Siddharth Garg |
| 2025 | IJCNN | MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption. | Siddhant Dutta, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique, David E. Bernal Neira |
| 2025 | IJCNN | CA-U-Net: Context Aware U-Net For Brain Tumor Segmentation. | Krishen Jagani, Muhammad Abdullah Hanif, J. Angel Arul Jothi, Muhammad Shafique |
| 2025 | IJCNN | Position Paper: Quantum Neural Networks - A Paradigm Shift in AI or a Theoretical Promise? | Muhammad Kashif, Muhammad Shafique |
| 2025 | IJCNN | QSViT: A Methodology for Quantizing Spiking Vision Transformers. | Rachmad Vidya Wicaksana Putra, Saad Iftikhar, Muhammad Shafique |
| 2025 | IJCNN | Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems. | Rachmad Vidya Wicaksana Putra, Pasindu Wickramasinghe, Muhammad Shafique |
| 2025 | IJCNN | TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems. | Eugenio Ressa, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2025 | IJCNN | Hy-Deft: A Hybrid Defense Technique for Vision Transformers against Adversarial Attacks in Medical Imaging. | Neha A S, Vivek Chaturvedi, Muhammad Shafique |
| 2025 | IJCNN | ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-based Advanced Driver Assistance Systems. | Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique |
| 2025 | IJCNN | Quantum Bayesian Networks for Machine Learning in Oil-Spill Detection. | Owais Ishtiaq Siddiqui, Nouhaila Innan, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique |
| 2025 | IOLTS | Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy. | Nouhaila Innan, Muhammad Kashif, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique |
| 2025 | IOLTS | Neuromorphic Computing for Embodied Intelligence in Autonomous Systems: Current Trends, Challenges, and Future Directions. | Alberto Marchisio, Muhammad Shafique |
| 2025 | QCE | PennyCoder: Efficient Domain-Specific LLMs for PennyLane-Based Quantum Code Generation. | Abdul Basit, Minghao Shao, Muhammad Haider Asif, Nouhaila Innan, Muhammad Kashif, Alberto Marchisio, Muhammad Shafique |
| 2025 | QCE | QAS-QTNs: Curriculum Reinforcement Learning-Driven Quantum Architecture Search for Quantum Tensor Networks. | Siddhant Dutta, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique |
| 2025 | QCE | LEP-QNN: Loan Eligibility Prediction Using Quantum Neural Networks. | Nouhaila Innan, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique |
| 2025 | QCE | Quantum Portfolio Optimization with Expert Analysis Evaluation. | Nouhaila Innan, Ayesha Saleem, Alberto Marchisio, Muhammad Shafique |
| 2025 | QCE | A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detection. | Abhishek Sawaika, Swetang Krishna, Tushar Tomar, Durga Pritam Suggisetti, Aditi Lal, Tanmaya Shrivastav, Nouhaila Innan, Muhammad Shafique |
| 2024 | CVPR | DAP: A Dynamic Adversarial Patch for Evading Person Detectors. | Amira Guesmi, Ruitian Ding, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique |
| 2024 | DAC | Defending against Adversarial Patches using Dimensionality Reduction. | Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique |
| 2024 | DATE | Tiny- VBF: Resource-Efficient Vision Transformer based Lightweight Beamformer for Ultrasound Single-Angle Plane Wave Imaging. | T. P. Abdul Rahoof, Vivek Chaturvedi, Mahesh Raveendranatha Panicker, Muhammad Shafique |
| 2024 | ICARCV | FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data Through Learning Rate Enhancements for Autonomous Embedded Systems. | Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique |
| 2024 | ICARCV | A Methodology to Study the Impact of Spiking Neural Network Parameters Considering Event-Based Automotive Data. | Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique |
| 2024 | ICARCV | RoboMed: On-Premise Medical Assistance Leveraging Large Language Models in Robotics. | Abdul Basit, Khizar Hussain, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2024 | ICARCV | MindArm: Mechanized Intelligent Non-Invasive Neuro-Driven Prosthetic Arm System. | Maha Nawaz, Abdul Basit, Muhammad Shafique |
| 2024 | ICARCV | SPAQ-DL-SLAM: Towards Optimizing Deep Learning-Based SLAM for Resource-Constrained Embedded Platforms. | Niraj Pudasaini, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2024 | ICARCV | Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack. | Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Fakhreddine Zayer, Jorge Dias, Muhammad Shafique |
| 2024 | ICIP | Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks. | Nandish Chattopadhyay, Amira Guesmi, Muhammad Shafique |
| 2024 | ICIP | AdvART: Adversarial Art for Camouflaged Object Detection Attacks. | Amira Guesmi, Ioan Marius Bilasco, Muhammad Shafique, Ihsen Alouani |
| 2024 | IJCNN | tinyDigiClones: A Multi-Modal LLM-Based Framework for Edge-optimized Personalized Avatars. | Abdul Basit, Muhammad Shafique |
| 2024 | IJCNN | CuriousRL: Curiosity-Driven Reinforcement Learning for Adaptive Locomotion in Quadruped Robots. | Sushil Bohara, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2024 | IJCNN | FedQNN: Federated Learning using Quantum Neural Networks. | Nouhaila Innan, Muhammad Al-Zafar Khan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai |
| 2024 | IJCNN | Investigating the Effect of Noise on the Training Performance of Hybrid Quantum Neural Networks. | Muhammad Kashif, Emman Sychiuco, Muhammad Shafique |
| 2024 | IJCNN | A Novel Weakly Supervised Semantic Segmentation Ensemble Framework for Medical Imaging. | Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique |
| 2024 | IJCNN | S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks. | Neha A S, Vivek Chaturvedi, Muhammad Shafique |
| 2024 | IOLTS | Camo-DNN: Layer Camouflaging to Protect DNNs against Timing Side-Channel Attacks. | Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique |
| 2024 | IOLTS | SBanTEM: A Novel Methodology for Sparse Band Tensors as Soft-Error Mitigation in Sparse Convolutional Neural Networks. | Alessio Colucci, Andreas Steininger, Muhammad Shafique |
| 2024 | IOLTS | EISFINN: On the Role of Efficient Importance Sampling in Fault Injection Campaigns for Neural Network Robustness Analysis. | Alessio Colucci, Andreas Steininger, Muhammad Shafique |
| 2024 | IROS | SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications. | Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Bassem Ouni, Muhammad Shafique |
| 2024 | IROS | DECADE: Towards Designing Efficient-yet-Accurate Distance Estimation Modules for Collision Avoidance in Mobile Advanced Driver Assistance Systems. | Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2024 | ISVC | J-Net: A Low-Resolution Lightweight Neural Network for Semantic Segmentation in the Medical Field for Embedded Deployment. | Erik Ostrowski, Muhammad Shafique |
| 2024 | ISVC | Embedded-ViT: A Framework for Embedded Deployment of Vision-Transformer in Medical Applications. | Erik Ostrowski, Muhammad Shafique |
| 2024 | QCE | QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction. | Siddhant Dutta, Nouhaila Innan, Alberto Marchisio, Sadok Ben Yahia, Muhammad Shafique |
| 2024 | QCE | Quantum Clustering for Cybersecurity. | Walid El Maouaki, Nouhaila Innan, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique |
| 2024 | QCE | PO-QA: A Framework for Portfolio Optimization using Quantum Algorithms. | Kamila Zaman, Alberto Marchisio, Muhammad Kashif, Muhammad Shafique |
| 2023 | CAV | Scaling Model Checking for Neural Network Analysis via State-Space Reduction and Input Segmentation. | Mahum Naseer, Osman Hasan, Muhammad Shafique |
| 2023 | DAC | Emerging Trends in Multi-Accelerator and Distributed System for ML: Devices, Architectures, Tools and Applications. | Muhammad Shafique |
| 2023 | DATE | Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. | Muhammad Abdullah Hanif, Muhammad Shafique |
| 2023 | DSN | Cross-Layer Approximations for System-Level Optimizations: Challenges and Opportunities. | Jorge Castro-Godnez, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2023 | ICCAD | Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. | Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vascek, Luks Sekanina, Muhammad Shafique |
| 2023 | IJCNN | Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens. | Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique |
| 2023 | IJCNN | FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. | Muhammad Abdullah Hanif, Muhammad Shafique |
| 2023 | IJCNN | SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. | Alberto Marchisio, Davide Dura, Maurizio Capra, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2023 | IJCNN | RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. | Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique |
| 2023 | IJCNN | SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters. | Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique |
| 2023 | IJCNN | FastCaps: A Design Methodology for Accelerating Capsule Network on Field Programmable Gate Arrays. | T. P. Abdul Rahoof, Vivek Chaturvedi, Muhammad Shafique |
| 2023 | IOLTS | ShapeShifter: Protecting FPGAs from Side-Channel Attacks with Isofunctional Heterogeneous Modules. | Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique |
| 2023 | IROS | TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents. | Rachmad Vidya Wicaksana Putra, Muhammad Shafique |
| 2023 | ICST | Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs. | Mahum Naseer, Muhammad Shafique |
| 2023 | ISLPED | FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation. | Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique |
| 2023 | ISVC | ISLE: A Framework for Image Level Semantic Segmentation Ensemble. | Erik Ostrowski, Muhammad Shafique |
| 2023 | ISVC | ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images. | Bharath Srinivas Prabakaran, Erik Ostrowski, Muhammad Shafique |
| 2023 | RTAS | ATLAS: Aging-Aware Task Replication for Multicore Safety-Critical Systems. | Mohsen Ansari, Sepideh Safari, Amir Yeganeh-Khaksar, Roozbeh Siyadatzadeh, Pourya Gohari-Nazari, Heba Khdr, Muhammad Shafique, Jrg Henkel, Alireza Ejlali |
| 2022 | DAC | SoftSNN: low-cost fault tolerance for spiking neural network accelerators under soft errors. | Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2022 | DATE | MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction. | Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu |
| 2022 | ICCAD | Embracing Graph Neural Networks for Hardware Security. | Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu |
| 2022 | IJCNN | NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. | Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique |
| 2022 | IJCNN | CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. | Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique |
| 2022 | IJCNN | fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems. | Alberto Marchisio, Giovanni Caramia, Maurizio Martina, Muhammad Shafique |
| 2022 | IJCNN | lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents. | Rachmad Vidya Wicaksana Putra, Muhammad Shafique |
| 2022 | IROS | enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. | Alessio Colucci, Andreas Steininger, Muhammad Shafique |
| 2022 | IROS | LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. | Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2022 | ISLPED | Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations. | Alberto Marchisio, Beatrice Bussolino, Edoardo Salvati, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2022 | VTS | Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. | Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique |
| 2021 | DAC | TinyML: Current Progress, Research Challenges, and Future Roadmap. | Muhammad Shafique, Theocharis Theocharides, Vijay Janapa Reddi, Boris Murmann |
| 2021 | DAC | SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments. | Rachmad Vidya Wicaksana Putra, Muhammad Shafique |
| 2021 | DAC | SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. | Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2021 | DATE | GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. | Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani Saleh, Muhammad Shafique, Ozgur Sinanoglu |
| 2021 | DATE | MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. | Alessio Colucci, Dvid Juhsz, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Gnther Nadbath, Axel Jantsch, Muhammad Shafique |
| 2021 | DATE | Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters. | Rida El-Allami, Alberto Marchisio, Muhammad Shafique, Ihsen Alouani |
| 2021 | DATE | DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures. | Muhammad Abdullah Hanif, Muhammad Shafique |
| 2021 | DSD | TRe-Map: Towards Reducing the Overheads of Fault-Aware Retraining of Deep Neural Networks by Merging Fault Maps. | Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2021 | ETS | Emerging Computing Devices: Challenges and Opportunities for Test and Reliability | Alberto Bosio, Ian O'Connor, Marcello Traiola, Jorge Echavarria, Jrgen Teich, Muhammad Abdullah Hanif, Muhammad Shafique, Said Hamdioui, Bastien Deveautour, Patrick Girard, Arnaud Virazel, Koen Bertels |
| 2021 | ICCAD | Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper. | Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif |
| 2021 | ICCAD | UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. | Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu |
| 2021 | ICCAD | ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. | Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2021 | IJCNN | DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. | Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2021 | IJCNN | Q-SpiNN: A Framework for Quantizing Spiking Neural Networks. | Rachmad Vidya Wicaksana Putra, Muhammad Shafique |
| 2021 | IJCNN | CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. | Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2021 | IROS | R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. | Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2020 | CASES | Towards Quality-Driven Approximate Software Generation for Accurate Hardware: Work-in-Progress. | Jorge Castro-Godnez, Muhammad Shafique, Jrg Henkel |
| 2020 | DAC | Proactive Aging Mitigation in CGRAs through Utilization-Aware Allocation. | Marcelo Brandalero, Bernardo Neuhaus Lignati, Antonio Carlos Schneider Beck, Muhammad Shafique, Michael Hbner |
| 2020 | DAC | PEMACx: A Probabilistic Error Analysis Methodology for Adders with Cascaded Approximate Units. | Muhammad Abdullah Hanif, Rehan Hafiz, Osman Hasan, Muhammad Shafique |
| 2020 | DAC | Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. | Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2020 | DAC | EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction. | Bharath Srinivas Prabakaran, Alberto Garca Jimnez, Germn Molt Martnez, Muhammad Shafique |
| 2020 | DAC | ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems. | Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vascek, Luks Sekanina, Muhammad Shafique |
| 2020 | DAC | DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. | Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2020 | DATE | FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation. | Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2020 | DATE | ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. | Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2020 | DATE | FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. | Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique |
| 2020 | ICCAD | AxHLS: Design Space Exploration and High-Level Synthesis of Approximate Accelerators using Approximate Functional Units and Analytical Models. | Jorge Castro-Godnez, Julin Mateus-Vargas, Muhammad Shafique, Jrg Henkel |
| 2020 | ICCAD | NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks. | Alberto Marchisio, Andrea Massa, Vojtech Mrazek, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique |
| 2020 | IJCNN | FaDec: A Fast Decision-based Attack for Adversarial Machine Learning. | Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique |
| 2020 | IJCNN | FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks. | Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2020 | IJCNN | Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks. | Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique |
| 2020 | IJCNN | An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor. | Riccardo Massa, Alberto Marchisio, Maurizio Martina, Muhammad Shafique |
| 2020 | IJCNN | NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. | Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique |
| 2020 | IOLTS | Dependable Deep Learning: Towards Cost-Efficient Resilience of Deep Neural Network Accelerators against Soft Errors and Permanent Faults. | Muhammad Abdullah Hanif, Muhammad Shafique |
| 2020 | SCOPES | Cross-layer approaches for improving the dependability of deep learning systems. | Muhammad Abdullah Hanif, Le Ha Hoang, Muhammad Shafique |
| 2019 | DAC | CANN: Curable Approximations for High-Performance Deep Neural Network Accelerators. | Muhammad Abdullah Hanif, Faiq Khalid, Muhammad Shafique |
| 2019 | DAC | autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components. | Vojtech Mrazek, Muhammad Abdullah Hanif, Zdenek Vascek, Luks Sekanina, Muhammad Shafique |
| 2019 | DAC | XBioSiP: A Methodology for Approximate Bio-Signal Processing at the Edge. | Bharath Srinivas Prabakaran, Semeen Rehman, Muhammad Shafique |
| 2019 | DAC | LifeGuard: A Reinforcement Learning-Based Task Mapping Strategy for Performance-Centric Aging Management. | Vijeta Rathore, Vivek Chaturvedi, Amit Kumar Singh, Thambipillai Srikanthan, Muhammad Shafique |
| 2019 | DAC | Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. | Jeff Jun Zhang, Kang Liu, Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Theocharis Theocharides, Alessandro Artussi, Muhammad Shafique, Siddharth Garg |
| 2019 | DATE | TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint. | Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman, Awais Mehmood Kamboh, Axel Jantsch, Siddharth Garg, Muhammad Shafique |
| 2019 | DATE | TransRec: Improving Adaptability in Single-ISA Heterogeneous Systems with Transparent and Reconfigurable Acceleration. | Marcelo Brandalero, Muhammad Shafique, Luigi Carro, Antonio Carlos Schneider Beck |
| 2019 | DATE | A Fine-Grained Soft Error Resilient Architecture under Power Considerations. | Sajjad Hussain, Muhammad Shafique, Jrg Henkel |
| 2019 | DATE | Thermal-Awareness in a Soft Error Tolerant Architecture. | Sajjad Hussain, Muhammad Shafique, Jrg Henkel |
| 2019 | DATE | FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. | Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique |
| 2019 | DATE | CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. | Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2019 | ICCAD | ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining. | Vojtech Mrazek, Zdenek Vascek, Luks Sekanina, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2019 | IOLTS | QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. | Faiq Khalid, Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique |
| 2019 | IOLTS | TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks. | Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique |
| 2019 | IOLTS | Studying Aging and Soft Error Mitigation Jointly under Constrained Scenarios in Multi-Cores. | Florian Kriebel, Semeen Rehman, Muhammad Shafique |
| 2019 | IOLTS | Towards Scalable Lifetime Reliability Management for Dark Silicon Manycore Systems. | Vijeta Rathore, Vivek Chaturvedi, Amit Kumar Singh, Thambipillai Srikanthan, Muhammad Shafique |
| 2019 | ISLPED | MemGANs: Memory Management for Energy-Efficient Acceleration of Complex Computations in Hardware Architectures for Generative Adversarial Networks. | Muhammad Abdullah Hanif, Muhammad Zuhaib Akbar, Rehan Ahmed, Semeen Rehman, Axel Jantsch, Muhammad Shafique |
| 2018 | DAC | Approximate on-the-fly coarse-grained reconfigurable acceleration for general-purpose applications. | Marcelo Brandalero, Luigi Carro, Antonio Carlos Schneider Beck, Muhammad Shafique |
| 2018 | DAC | QoS-aware stochastic power management for many-cores. | Anuj Pathania, Heba Khdr, Muhammad Shafique, Tulika Mitra, Jrg Henkel |
| 2018 | DAC | Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators. | Salim Ullah, Semeen Rehman, Bharath Srinivas Prabakaran, Florian Kriebel, Muhammad Abdullah Hanif, Muhammad Shafique, Akash Kumar |
| 2018 | DATE | An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era. | Muhammad Shafique, Theocharis Theocharides, Christos-Savvas Bouganis, Muhammad Abdullah Hanif, Faiq Khalid, Rehan Hafiz, Semeen Rehman |
| 2018 | DATE | PX-CGRA: Polymorphic approximate coarse-grained reconfigurable architecture. | Omid Akbari, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram, Muhammad Shafique |
| 2018 | DATE | Compiler-driven error analysis for designing approximate accelerators. | Jorge Castro-Godnez, Sven Esser, Muhammad Shafique, Santiago Pagani, Jrg Henkel |
| 2018 | DATE | Error resilience analysis for systematically employing approximate computing in convolutional neural networks. | Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique |
| 2018 | DATE | DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems. | Bharath Srinivas Prabakaran, Semeen Rehman, Muhammad Abdullah Hanif, Salim Ullah, Ghazal Mazaheri, Akash Kumar, Muhammad Shafique |
| 2018 | DATE | HiMap: A hierarchical mapping approach for enhancing lifetime reliability of dark silicon manycore systems. | Vijeta Rathore, Vivek Chaturvedi, Amit Kumar Singh, Thambipillai Srikanthan, R. Rohith, Siew-Kei Lam, Muhammad Shafique |
| 2018 | DATE | AdAM: Adaptive approximation management for the non-volatile memory hierarchies. | Mohammad Taghi Teimoori, Muhammad Abdullah Hanif, Alireza Ejlali, Muhammad Shafique |
| 2018 | DSD | Intelligent Security Measures for Smart Cyber Physical Systems. | Muhammad Shafique, Faiq Khalid, Semeen Rehman |
| 2018 | FIT | Security for Machine Learning-Based Systems: Attacks and Challenges During Training and Inference. | Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique |
| 2018 | IJCNN | PruNet: Class-Blind Pruning Method For Deep Neural Networks. | Alberto Marchisio, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique |
| 2018 | IOLTS | Robust Machine Learning Systems: Reliability and Security for Deep Neural Networks. | Muhammad Abdullah Hanif, Faiq Khalid, Rachmad Vidya Wicaksana Putra, Semeen Rehman, Muhammad Shafique |
| 2018 | IOLTS | Hardware and Software Techniques for Heterogeneous Fault-Tolerance. | Semeen Rehman, Florian Kriebel, Bharath Srinivas Prabakaran, Faiq Khalid, Muhammad Shafique |
| 2018 | ISCAS | FPGA-Based Convolutional Neural Network Architecture with Reduced Parameter Requirements. | Muluken Hailesellasie, Syed Rafay Hasan, Faiq Khalid, Falah Awwad, Muhammad Shafique |
| 2018 | ISCAS | Low Power Digital Clock Multipliers for Battery-Operated Internet of Things (IoT) Devices. | Faiq Khalid, Sunil Nanjiani, Syed Rafay Hasan, Osman Hasan, Falah R. Awwad, Muhammad Shafique |
| 2017 | DAC | Statistical Error Analysis for Low Power Approximate Adders. | Muhammad Kamran Ayub, Osman Hasan, Muhammad Shafique |
| 2017 | DAC | QuAd: Design and Analysis of Quality-Area Optimal Low-Latency Approximate Adders. | Muhammad Abdullah Hanif, Rehan Hafiz, Osman Hasan, Muhammad Shafique |
| 2017 | DAC | Low-overhead Aging-aware Resource Management on Embedded GPUs. | Haeseung Lee, Muhammad Shafique, Mohammad Abdullah Al Faruque |
| 2017 | DATE | Soft error-aware architectural exploration for designing reliability adaptive cache hierarchies in multi-cores. | Arun Subramaniyan, Semeen Rehman, Muhammad Shafique, Akash Kumar, Jrg Henkel |
| 2017 | DATE | CAnDy-TM: Comparative analysis of dynamic thermal management in many-cores using model checking. | Syed Ali Asadullah Bukhari, Faiq Khalid Lodhi, Osman Hasan, Muhammad Shafique, Jrg Henkel |
| 2017 | DATE | Secure Cyber-Physical Systems: Current trends, tools and open research problems. | Anupam Chattopadhyay, Alok Prakash, Muhammad Shafique |
| 2017 | DATE | Embracing approximate computing for energy-efficient motion estimation in high efficiency video coding. | Walaa El-Harouni, Semeen Rehman, Bharath Srinivas Prabakaran, Akash Kumar, Rehan Hafiz, Muhammad Shafique |
| 2017 | DATE | Scalable probabilistic power budgeting for many-cores. | Anuj Pathania, Heba Khdr, Muhammad Shafique, Tulika Mitra, Jrg Henkel |
| 2017 | ISORC | A Self-Healing Framework for Building Resilient Cyber-Physical Systems. | Denise Ratasich, Oliver Hftberger, Haris Isakovic, Muhammad Shafique, Radu Grosu |
| 2016 | CASES | Power and thermal management in massive multicore chips: theoretical foundation meets architectural innovation and resource allocation. | Paul Bogdan, Partha Pratim Pande, Hussam Amrouch, Muhammad Shafique, Jrg Henkel |
| 2016 | DAC | ageOpt-RMT: compiler-driven variation-aware aging optimization for redundant multithreading. | Florian Kriebel, Semeen Rehman, Muhammad Shafique, Jrg Henkel |
| 2016 | DAC | An area-efficient consolidated configurable error correction for approximate hardware accelerators. | Sana Mazahir, Osman Hasan, Rehan Hafiz, Muhammad Shafique, Jrg Henkel |
| 2016 | DAC | Distributed scheduling for many-cores using cooperative game theory. | Anuj Pathania, Vanchinathan Venkataramani, Muhammad Shafique, Tulika Mitra, Jrg Henkel |
| 2016 | DAC | Improving mobile gaming performance through cooperative CPU-GPU thermal management. | Alok Prakash, Hussam Amrouch, Muhammad Shafique, Tulika Mitra, Jrg Henkel |
| 2016 | DAC | Invited - Cross-layer approximate computing: from logic to architectures. | Muhammad Shafique, Rehan Hafiz, Semeen Rehman, Walaa El-Harouni, Jrg Henkel |
| 2016 | DATE | Towards performance and reliability-efficient computing in the dark silicon era. | Jrg Henkel, Santiago Pagani, Heba Khdr, Florian Kriebel, Semeen Rehman, Muhammad Shafique |
| 2016 | DATE | Formal probabilistic analysis of distributed resource management schemes in on-chip systems. | Shafaq Iqtedar, Osman Hasan, Muhammad Shafique, Jrg Henkel |
| 2016 | DATE | Power-efficient load-balancing on heterogeneous computing platforms. | Muhammad Usman Karim Khan, Muhammad Shafique, Apratim Gupta, Thomas Schumann, Jrg Henkel |
| 2016 | DATE | Thermal optimization using adaptive approximate computing for video coding. | Daniel Palomino, Muhammad Shafique, Altamiro Amadeu Susin, Jrg Henkel |
| 2016 | DATE | Distributed fair scheduling for many-cores. | Anuj Pathania, Vanchinathan Venkataramani, Muhammad Shafique, Tulika Mitra, Jrg Henkel |
| 2016 | ICCAD | Architectural-space exploration of approximate multipliers. | Semeen Rehman, Walaa El-Harouni, Muhammad Shafique, Akash Kumar, Jrg Henkel |
| 2016 | SCOPES | Cross-Layer Reliability Modeling and Optimization: Compiler and Run-Time System Interactions. | Muhammad Shafique, Semeen Rehman, Florian Kriebel, Jrg Henkel |
| 2015 | ASPDAC | ADAPT: An adaptive manycore methodology for software pipelined applications. | Xi Zhang, Haris Javaid, Muhammad Shafique, Jude Angelo Ambrose, Jrg Henkel, Sri Parameswaran |
| 2015 | CASES | Approximation-aware Multi-Level Cells STT-RAM cache architecture. | Felipe Sampaio, Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jrg Henkel |
| 2015 | DAC | SuperNet: multimode interconnect architecture for manycore chips. | Haseeb Bokhari, Haris Javaid, Muhammad Shafique, Jrg Henkel, Sri Parameswaran |
| 2015 | DAC | Hayat: harnessing dark silicon and variability for aging deceleration and balancing. | Dennis Gnad, Muhammad Shafique, Florian Kriebel, Semeen Rehman, Duo Sun, Jrg Henkel |
| 2015 | DAC | New trends in dark silicon. | Jrg Henkel, Heba Khdr, Santiago Pagani, Muhammad Shafique |
| 2015 | DAC | Thermal constrained resource management for mixed ILP-TLP workloads in dark silicon chips. | Heba Khdr, Santiago Pagani, Muhammad Shafique, Jrg Henkel |
| 2015 | DAC | A low latency generic accuracy configurable adder. | Muhammad Shafique, Waqas Ahmad, Rehan Hafiz, Jrg Henkel |
| 2015 | DAC | EnAAM: energy-efficient anti-aging for on-chip video memories. | Muhammad Shafique, Muhammad Usman Karim Khan, Adnan Orcun Tfek, Jrg Henkel |
| 2015 | DATE | Malleable NoC: dark silicon inspired adaptable Network-on-Chip. | Haseeb Bokhari, Haris Javaid, Muhammad Shafique, Jrg Henkel, Sri Parameswaran |
| 2015 | DATE | A deblocking filter hardware architecture for the high efficiency video coding standard. | Cludio Machado Diniz, Muhammad Shafique, Felipe Vogel Dalcin, Sergio Bampi, Jrg Henkel |
| 2015 | DATE | Formal probabilistic analysis of distributed dynamic thermal management. | Shafaq Iqtedar, Osman Hasan, Muhammad Shafique, Jrg Henkel |
| 2015 | DATE | Power-efficient accelerator allocation in adaptive dark silicon many-core systems. | Muhammad Usman Karim Khan, Muhammad Shafique, Jrg Henkel |
| 2015 | DATE | ACSEM: accuracy-configurable fast soft error masking analysis in combinatorial circuits. | Florian Kriebel, Semeen Rehman, Duo Sun, Pau Vilimelis Aceituno, Muhammad Shafique, Jrg Henkel |
| 2015 | DATE | MatEx: efficient transient and peak temperature computation for compact thermal models. | Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jrg Henkel |
| 2015 | DATE | Variability-aware dark silicon management in on-chip many-core systems. | Muhammad Shafique, Dennis Gnad, Siddharth Garg, Jrg Henkel |
| 2015 | DATE | E-pipeline: elastic hardware/software pipelines on a many-core fabric. | Xi Zhang, Haris Javaid, Muhammad Shafique, Jorgen Peddersen, Jrg Henkel, Sri Parameswaran |
| 2015 | ICCAD | Mitigating the Power Density and Temperature Problems in the Nano-Era. | Muhammad Shafique, Jrg Henkel |
| 2015 | ISCAS | Energy-efficient multimedia systems for high efficiency video coding. | Jrg Henkel, Muhammad Usman Karim Khan, Muhammad Shafique |
| 2015 | ISLPED | Hierarchical power budgeting for Dark Silicon chips. | Muhammad Usman Karim Khan, Muhammad Shafique, Jrg Henkel |
| 2015 | ISLPED | Power management for mobile games on asymmetric multi-cores. | Anuj Pathania, Santiago Pagani, Muhammad Shafique, Jrg Henkel |
| 2015 | ISLPED | DRVS: Power-efficient reliability management through Dynamic Redundancy and Voltage Scaling under variations. | Mohammad Salehi, Mohammad Khavari Tavana, Semeen Rehman, Florian Kriebel, Muhammad Shafique, Alireza Ejlali, Jrg Henkel |
| 2015 | WETICE | Probabilistic Formal Verification Methodology for Decentralized Thermal Management in On-Chip Systems. | Shafaq Iqtedar, Osman Hasan, Muhammad Shafique, Jrg Henkel |
| 2014 | ASPDAC | Low power design of the next-generation High Efficiency Video Coding. | Muhammad Shafique, Jrg Henkel |
| 2014 | DAC | darkNoC: Designing Energy-Efficient Network-on-Chip with Multi-Vt Cells for Dark Silicon. | Haseeb Bokhari, Haris Javaid, Muhammad Shafique, Jrg Henkel, Sri Parameswaran |
| 2014 | DAC | Multi-Layer Dependability: From Microarchitecture to Application Level. | Jrg Henkel, Lars Bauer, Hongyan Zhang, Semeen Rehman, Muhammad Shafique |
| 2014 | DAC | ASER: Adaptive Soft Error Resilience for Reliability-Heterogeneous Processors in the Dark Silicon Era. | Florian Kriebel, Semeen Rehman, Duo Sun, Muhammad Shafique, Jrg Henkel |
| 2014 | DAC | dTune: Leveraging Reliable Code Generation for Adaptive Dependability Tuning under Process Variation and Aging-Induced Effects. | Semeen Rehman, Florian Kriebel, Duo Sun, Muhammad Shafique, Jrg Henkel |
| 2014 | DAC | The EDA Challenges in the Dark Silicon Era: Temperature, Reliability, and Variability Perspectives. | Muhammad Shafique, Siddharth Garg, Jrg Henkel, Diana Marculescu |
| 2014 | DATE | Software architecture of High Efficiency Video Coding for many-core systems with power-efficient workload balancing. | Muhammad Usman Karim Khan, Muhammad Shafique, Jrg Henkel |
| 2014 | DATE | mDTM: Multi-objective dynamic thermal management for on-chip systems. | Heba Khdr, Thomas Ebi, Muhammad Shafique, Hussam Amrouch, Jrg Henkel |
| 2014 | DATE | hevcDTM: Application-driven Dynamic Thermal Management for High Efficiency Video Coding. | Daniel Palomino, Muhammad Shafique, Hussam Amrouch, Altamiro Amadeu Susin, Jrg Henkel |
| 2014 | DATE | Compiler-driven dynamic reliability management for on-chip systems under variabilities. | Semeen Rehman, Florian Kriebel, Muhammad Shafique, Jrg Henkel |
| 2014 | DATE | dSVM: Energy-efficient distributed Scratchpad Video Memory Architecture for the next-generation High Efficiency Video Coding. | Felipe Sampaio, Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jrg Henkel |
| 2014 | EMSOFT | Embedded software reliability for unreliable hardware. | Jian-Jia Chen, Muhammad Shafique |
| 2014 | FPL | Run-time accelerator binding for tile-based mixed-grained reconfigurable architectures. | Cludio Machado Diniz, Muhammad Shafique, Sergio Bampi, Jrg Henkel |
| 2014 | ICCAD | Energy-efficient architecture for advanced video memory. | Felipe Sampaio, Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jrg Henkel |
| 2014 | ICIP | Fast hierarchical intra angular mode selection for high efficiency video coding. | Muhammad Usman Karim Khan, Muhammad Shafique, Jrg Henkel |
| 2014 | ICIP | Power efficient and workload balanced tiling for parallelized high efficiency video coding. | Muhammad Shafique, Muhammad Usman Karim Khan, Jrg Henkel |
| 2014 | ICPADS | Peak Power Management for scheduling real-time tasks on heterogeneous many-core systems. | Waqaas Munawar, Heba Khdr, Santiago Pagani, Muhammad Shafique, Jian-Jia Chen, Jrg Henkel |
| 2014 | ISLPED | TONE: adaptive temperature optimization for the next generation video encoders. | Daniel Palomino, Muhammad Shafique, Altamiro Amadeu Susin, Jrg Henkel |
| 2014 | ISLPED | Content-driven memory pressure balancing and video memory power management for parallel high efficiency video coding. | Felipe Martin Sampaio, Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jrg Henkel |
| 2014 | ISVC | Hardware/Software Co-design of Embedded Real-Time KD-Tree Based Feature Matching Systems. | Saad Shoaib, Rehan Hafiz, Muhammad Shafique |
| 2013 | DAC | Reliable on-chip systems in the nano-era: lessons learnt and future trends. | Jrg Henkel, Lars Bauer, Nikil D. Dutt, Puneet Gupta, Sani R. Nassif, Muhammad Shafique, Mehdi Baradaran Tahoori, Norbert Wehn |
| 2013 | DAC | RASTER: runtime adaptive spatial/temporal error resiliency for embedded processors. | Tuo Li, Muhammad Shafique, Jude Angelo Ambrose, Semeen Rehman, Jrg Henkel, Sri Parameswaran |
| 2013 | DAC | Exploiting program-level masking and error propagation for constrained reliability optimization. | Muhammad Shafique, Semeen Rehman, Pau Vilimelis Aceituno, Jrg Henkel |
| 2013 | DAC | Mapping on multi/many-core systems: survey of current and emerging trends. | Amit Kumar Singh, Muhammad Shafique, Akash Kumar, Jrg Henkel |
| 2013 | DATE | An H.264 Quad-FullHD low-latency intra video encoder. | Muhammad Usman Karim Khan, Jan Micha Borrmann, Lars Bauer, Muhammad Shafique, Jrg Henkel |
| 2013 | DATE | Hardware-software collaborative complexity reduction scheme for the emerging HEVC intra encoder. | Muhammad Usman Karim Khan, Muhammad Shafique, Mateus Grellert, Jrg Henkel |
| 2013 | DATE | CSER: HW/SW configurable soft-error resiliency for application specific instruction-set processors. | Tuo Li, Muhammad Shafique, Semeen Rehman, Swarnalatha Radhakrishnan, Roshan G. Ragel, Jude Angelo Ambrose, Jrg Henkel, Sri Parameswaran |
| 2013 | DATE | Leveraging variable function resilience for selective software reliability on unreliable hardware. | Semeen Rehman, Muhammad Shafique, Pau Vilimelis Aceituno, Florian Kriebel, Jian-Jia Chen, Jrg Henkel |
| 2013 | DATE | Energy-efficient memory hierarchy for motion and disparity estimation in multiview video coding. | Felipe Sampaio, Bruno Zatt, Muhammad Shafique, Luciano Volcan Agostini, Sergio Bampi, Jrg Henkel |
| 2013 | DATE | Self-adaptive hybrid dynamic power management for many-core systems. | Muhammad Shafique, Benjamin Vogel, Jrg Henkel |
| 2013 | ICCAD | DHASER: dynamic heterogeneous adaptation for soft-error resiliency in ASIP-based multi-core systems. | Tuo Li, Muhammad Shafique, Semeen Rehman, Jude Angelo Ambrose, Jrg Henkel, Sri Parameswaran |
| 2013 | ICCAD | ISOMER: integrated selection, partitioning, and placement methodology for reconfigurable architectures. | Rana Muhammad Bilal, Rehan Hafiz, Muhammad Shafique, Saad Shoaib, Asim Munawar, Jrg Henkel |
| 2013 | ICCAD | Formal verification of distributed dynamic thermal management. | Muhammad Ismail, Osman Hasan, Thomas Ebi, Muhammad Shafique, Jrg Henkel |
| 2013 | ICCAD | AMBER: adaptive energy management for on-chip hybrid video memories. | Muhammad Usman Karim Khan, Muhammad Shafique, Jrg Henkel |
| 2013 | ICCAD | Agent-based distributed power management for kilo-core processors. | Muhammad Shafique, Jrg Henkel |
| 2013 | ICIP | High-throughput interpolation hardware architecture with coarse-grained reconfigurable datapaths for HEVC. | Cludio Machado Diniz, Muhammad Shafique, Sergio Bampi, Jrg Henkel |
| 2013 | ICIP | An adaptive workload management scheme for HEVC encoding. | Mateus Grellert, Muhammad Shafique, Muhammad Usman Karim Khan, Luciano Volcan Agostini, Jlio C. B. de Mattos, Jrg Henkel |
| 2013 | ICIP | An adaptive complexity reduction scheme with fast prediction unit decision for HEVC intra encoding. | Muhammad Usman Karim Khan, Muhammad Shafique, Jrg Henkel |
| 2013 | ICIP | Content-adaptive reference frame compression based on intra-frame prediction for multiview video coding. | Felipe Sampaio, Bruno Zatt, Muhammad Shafique, Luciano Volcan Agostini, Jrg Henkel, Sergio Bampi |
| 2013 | ISLPED | Content-driven adaptive computation offloading for energy-aware hybrid distributed video coding. | Muhammad Shafique, Muhammad Usman Karim Khan, Jrg Henkel |
| 2013 | PCS | Fast HEVC intra mode decision algorithm based on new evaluation order in the Coding Tree Block. | Daniel Palomino, Eduardo Cavichioli, Altamiro Amadeu Susin, Luciano Volcan Agostini, Muhammad Shafique, Jrg Henkel |
| 2013 | RTAS | Reliable code generation and execution on unreliable hardware under joint functional and timing reliability considerations. | Semeen Rehman, Anas Toma, Florian Kriebel, Muhammad Shafique, Jian-Jia Chen, Jrg Henkel |
| 2012 | ASPDAC | RAISE: Reliability-Aware Instruction SchEduling for unreliable hardware. | Semeen Rehman, Muhammad Shafique, Florian Kriebel, Jrg Henkel |
| 2012 | DAC | Instruction scheduling for reliability-aware compilation. | Semeen Rehman, Muhammad Shafique, Jrg Henkel |
| 2012 | DAC | Adaptive power management of on-chip video memory for multiview video coding. | Muhammad Shafique, Bruno Zatt, Fabio Leandro Walter, Sergio Bampi, Jrg Henkel |
| 2012 | DATE | Power-efficient error-resiliency for H.264/AVC Context-Adaptive Variable Length Coding. | Muhammad Shafique, Bruno Zatt, Semeen Rehman, Florian Kriebel, Jrg Henkel |
| 2012 | FCCM | PATS: A Performance Aware Task Scheduler for Runtime Reconfigurable Processors. | Lars Bauer, Artjom Grudnitsky, Muhammad Shafique, Jrg Henkel |
| 2012 | PCS | A complexity reduction scheme with adaptive search direction and mode elimination for multiview video coding. | Muhammad Shafique, Bruno Zatt, Jrg Henkel |
| 2011 | DAC | Low-power adaptive pipelined MPSoCs for multimedia: an H.264 video encoder case study. | Haris Javaid, Muhammad Shafique, Sri Parameswaran, Jrg Henkel |
| 2011 | DAC | Run-time adaptive energy-aware motion and disparity estimation in multiview video coding. | Bruno Zatt, Muhammad Shafique, Felipe Sampaio, Luciano Volcan Agostini, Sergio Bampi, Jrg Henkel |
| 2011 | DATE | mRTS: Run-time system for reconfigurable processors with multi-grained instruction-set extensions. | Waheed Ahmed, Muhammad Shafique, Lars Bauer, Jrg Henkel |
| 2011 | DATE | Minority-Game-based resource allocation for run-time reconfigurable multi-core processors. | Muhammad Shafique, Lars Bauer, Waheed Ahmed, Jrg Henkel |
| 2011 | DATE | Multi-level pipelined parallel hardware architecture for high throughput motion and disparity estimation in Multiview Video Coding. | Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jrg Henkel |
| 2011 | FCCM | Run-Time Resource Allocation for Simultaneous Multi-tasking in Multi-core Reconfigurable Processors. | Waheed Ahmed, Muhammad Shafique, Lars Bauer, Manuel Hammerich, Jrg Henkel, Jrgen Becker |
| 2011 | ICCAD | System-level application-aware dynamic power management in adaptive pipelined MPSoCs for multimedia. | Haris Javaid, Muhammad Shafique, Jrg Henkel, Sri Parameswaran |
| 2011 | ICCAD | A low-power memory architecture with application-aware power management for motion & disparity estimation in Multiview Video Coding. | Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jrg Henkel |
| 2011 | ICIP | Revc: Computationally Reliable Video Coding on unreliable hardware platforms: A case study on error-tolerant H.264/AVC CAVLC entropy coding. | Semeen Rehman, Muhammad Shafique, Florian Kriebel, Jrg Henkel |
| 2011 | ICIP | A high-throughput parallel hardware architecture for H.264/AVC CAVLC encoding. | Muhammad Shafique, Adnan Orcun Tfek, Jrg Henkel |
| 2011 | ICIP | A multi-level dynamic complexity reduction scheme for multiview video coding. | Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jrg Henkel |
| 2010 | DATE | KAHRISMA: A novel Hypermorphic Reconfigurable-Instruction-Set Multi-grained-Array architecture. | Ralf Knig, Lars Bauer, Timo Stripf, Muhammad Shafique, Waheed Ahmed, Jrgen Becker, Jrg Henkel |
| 2010 | DATE | enBudget: A Run-Time Adaptive Predictive Energy-Budgeting scheme for energy-aware Motion Estimation in H.264/MPEG-4 AVC video encoder. | Muhammad Shafique, Lars Bauer, Jrg Henkel |
| 2010 | DATE | An HVS-based Adaptive Computational Complexity Reduction Scheme for H.264/AVC video encoder using Prognostic Early Mode Exclusion. | Muhammad Shafique, Bastian Molkenthin, Jrg Henkel |
| 2010 | ICCAD | Selective instruction set muting for energy-aware adaptive processors. | Muhammad Shafique, Lars Bauer, Jrg Henkel |
| 2010 | PCS | Power-aware complexity-scalable multiview video coding for mobile devices. | Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jrg Henkel |
| 2010 | PCS | An adaptive early skip mode decision scheme for multiview video coding. | Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jrg Henkel |
| 2009 | DATE | Cross-architectural design space exploration tool for reconfigurable processors. | Lars Bauer, Muhammad Shafique, Jrg Henkel |
| 2009 | DATE | A parallel approach for high performance hardware design of intra prediction in H.264/AVC Video Codec. | Muhammad Shafique, Lars Bauer, Jrg Henkel |
| 2009 | FPL | RISPP: A run-time adaptive reconfigurable embedded processor. | Lars Bauer, Muhammad Shafique, Jrg Henkel |
| 2009 | ICCAD | REMiS: Run-time energy minimization scheme in a reconfigurable processor with dynamic power-gated instruction set. | Muhammad Shafique, Lars Bauer, Jrg Henkel |
| 2009 | ICIP | Non-linear rate control for H.264/AVC video encoder with multiple picture types using image-statistics and motion-based Macroblock Prioritization. | Muhammad Shafique, Bastian Molkenthin, Jrg Henkel |
| 2008 | DAC | Run-time instruction set selection in a transmutable embedded processor. | Lars Bauer, Muhammad Shafique, Jrg Henkel |
| 2008 | DATE | Run-time System for an Extensible Embedded Processor with Dynamic Instruction Set. | Lars Bauer, Muhammad Shafique, Stephanie Kreutz, Jrg Henkel |
| 2008 | FPL | A computation- and communication- infrastructure for modular special instructions in a dynamically reconfigurable processor. | Lars Bauer, Muhammad Shafique, Jrg Henkel |
| 2008 | ISLPED | 3-tier dynamically adaptive power-aware motion estimator for h.264/AVC video encoding. | Muhammad Shafique, Lars Bauer, Jrg Henkel |
| 2007 | DAC | RISPP: Rotating Instruction Set Processing Platform. | Lars Bauer, Muhammad Shafique, Simon Kramer, Jrg Henkel |
| 2005 | ITiCSE | Principles of curriculum design and revision: a case study in implementing computing curricula CC2001. | M. R. K. Krishna Rao, S. Junaidu, Talal Maghrabi, Muhammad Shafique, Motaz Ahmed, Kanaan A. Faisal |