Publications
Patents and Invention Disclosures
A. Razi, V. Varadan, N. Dimitrova, N. Banerjee, “Integrated method and system for identifying functional patient-specific somatic aberrations using multi-omics cancer profiles’’, US PAtent: US20180247010A1, Aug 2018 (Link)
A. Razi, B. Cambou, “Securing Distributed Elements Connected to a Network with Addressable physically unclonable functions”, US Patent 11388013, July 2022, (Link)
F. Afghah, A Razi, K. Najarian, S. Soroushmehr, “False Alarm Reduction Systems and Related methods”, US Patent: US 10650667, 2020, (Link)
B. Cambou, A. Razi, “Authentication of Images Extracted from Unclonable Objects’’, Filed, PCT/US20170235938, Aug 2017 (Link)
F. Afghah, A. Razi, “Roulette Transform for Signal Processing”, Disclosure ID: D2018-007
F. Afghah, A. Razi, Ashwin Belle, K. Najarian, “Hierarchical Game Theoretic Based Feature Selection in Heterogeneous Big Data Sets’’, Invention Disclosure Filed in 2014.
Journal Papers
Niloufar Mehrabi, Sayed Pedram Haeri Boroujeni, Abolfazl Razi, “Turbo-IRL: Enhancing Multi-Agent Systems Using Turbo Decoding-Inspired Deep Maximum Entropy Inverse Reinforcement Learning,” Expert Systems with Applications, 2026. (Link)
Sayed Pedram Haeri Boroujeni, Niloufar Mehrabi, Fatemeh Afghah, Connor Peter McGrath, Danish Bhatkar, Mithilesh Anil Biradar, Abolfazl Razi, “Fire and Smoke Datasets in 20 Years: An In-Depth Review,” Machine Learning with Applications, 2025. (Link)
Ahmad Sarlak, Rahul Amin, Abolfazl Razi, “Extended Visibility of Autonomous Vehicles via Optimized Cooperative Perception under Imperfect Communication,” Transportation Research Part C: Emerging Technologies, 2025. (Link)
Ashish Bastola, Hao Wang, Sayed Pedram Haeri Boroujeni, Julian Brinkley, Ata Jahangir Moshayedi, Abolfazl Razi, “Driving Towards Inclusion: A Systematic Review of AI-Powered Accessibility Enhancements for People with Disability in Autonomous Vehicles,” IEEE Access (2025). (Link)
Sayed Pedram Haeri Boroujeni, Abolfazl Razi, “IC-GAN: An Improved Conditional Generative Adversarial Network for RGB-to-IR Image Translation with Applications to Forest Fire Monitoring,” Expert Systems with Applications, 238, 121962 (2024). (Link)
Xiwen Chen, Huayu Li, Rahul Amin, Abolfazl Razi, “Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference,” IEEE Transactions on Machine Learning in Communications and Networking, vol. 2 (2024). (Link)
Seyed Pedram Haeri Boroujeni, Abolfazl Razi, Sahand Khoshdel, Fatemeh Afghah, Janice Coen, Leo O’Neill, Peter Fule, Adam Watts, Nick Marios, Kyriakos G. Vamvoudakis, “A Comprehensive Survey of Research towards AI-Enabled Unmanned Aerial Systems in Pre-, Active-, and Post-Wildfire Management,” Information Fusion, 102369 (2024). (Link)
Zhao Zhang, Xiwen Chen, William Richardson, Bruce Z. Gao, Abolfazl Razi, Tong Ye, “Quantification of Cardiac Capillarization in Basement-Membrane-Immunostained Myocardial Slices Using Segment Anything Model,” Scientific Reports, 14, 15344 (2024). (Link)
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi, “Energy Optimization for HVAC Systems in Multi-VAV Open Offices: A Deep Reinforcement Learning Approach,” Applied Energy, 356, 122354 (2023). (Link)
Xiwen Chen, Hao Wang, Abolfazl Razi, Michael Kozicki, and Christopher Mann, “DH-GAN: a physics-driven untrained generative adversarial network for holographic imaging,” Opt. Express 31, 10114-10135 (2023) (Link)
Chen, X., Wang, H., Razi, A., Russo, B., Pacheco, J., Roberts, J., Wishart, J., Head, L. and Baca, A.G., 2022. Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study. IEEE Access. (Link)
Chen, X., Hopkins, B., Wang, H., O’Neill, L., Afghah, F., Razi, A., Fulé, P., Coen, J., Rowell, E. and Watts, A., 2022. Wildland Fire Detection and Monitoring Using a Drone-Collected RGB/IR Image Dataset. IEEE Access, 10, pp.121301-121317. (Link)
Arnau Rovira-Sugranes, Fatemeh Afghah, Jakob Chakareski, Abolfazl Razi, “A Review of AI-Enabled Routing Protocols for UAV Networks: Trends, Challenges, and Future Outlook,” Ad Hoc Networks, 2022. (Link)
Razi A, Chen X, Li H, et al. Deep learning serves traffic safety analysis: A forward‐looking review[J]. IET Intelligent Transport Systems, 2022. (Link)
Bahman Zolfaghari, Gautam Srivastava, Sachin Roy, H.R. Nemati, Fatemeh Afghah, Takuya Koshiba, Abolfazl Razi, Kamran Bibak, Pradipta Mitra, B.K. Rai, “Content Delivery Networks: State of the Art, Trends, and Future Roadmap,” ACM Computing Surveys, 2020. (Link)
Junsuo Qu, Huan Shi, Ning Qiao, Chao Wu, Chao Su, Abolfazl Razi, “New Three-Dimensional Positioning Algorithm through Integrating TDOA and Newton’s Method,” EURASIP Journal on Wireless Communications and Networking, 2020. (Link)
A Razi, “Optimal Measurement Policy for Linear Measurement Systems with Applications to UAV Network Topology Prediction”, IEEE Transactions on Vehicular Technology, Nov 2019 (Link)
Arnau Rovira-Sugranes, Abolfazl Razi, “Optimizing the Age of Information for Blockchain Technology With Applications to IoT Sensors”, IEEE Communications Letters, vol. 24, no. 1, pp. 183-187, 2019 (Link)
J. Chen, A. Valehi, A. Razi, “Smart Heart Monitoring: Early Prediction of Heart Problems Through Predictive Analysis of ECG Signals”, IEEE Access, Volume 7, August 2019 (Link)
A. Razi, “Bayesian Signal Recovery Under Measurement Matrix Uncertainty: Performance Analysis”, IEEE Access, vol. 7, no. 1, pp 102356-102365, Aug 2019 (Link)
F Afghah, A Razi, R Soroushmehr, H Ghanbari, K Najarian, “Game Theoretic Approach for Systematic Feature Selection; Application in False Alarm Detection in Intensive Care Units”, Entropy, vol. 20, no. 30 (Link)
H. Peng, A. Razi, F. Afghah, J. Ashdown, “A Unified Framework for Joint Mobility Prediction and Object Profiling of Drones in UAV Networks”, to appear in JCN Special Issue on Amateur Drone and UAV Communications and Networks, 2018 (Link)
A. Valehi, A. Razi, “An Online Learning Method to Maximize Energy Efficiency of Cognitive Sensor Networks”, IEEE Communications Letters, vol. 22, no. 5, May 2018 (Link) (PDF) (Bibtex)
J. Chen, H. Peng, A. Razi, “Remote ECG Monitoring Kit to Predict Patient-Specific Heart Abnormalities’’, Journal of Systemics, Cybernetics and Informatics, vol 15, no. 4, pp 82-89, Nov 2017 (Link) (PDF) (Bibtex)
A. Valehi, A. Razi, “Maximizing Energy Efficiency of Cognitive Wireless Sensor Networks with Constrained Age of Information’’, IEEE Transactions on Cognitive Communications and Networking, vol.3, no. 4, pp 643-654, Dec 2017 (Link) (PDF) (Bibtex)
M.J. Jannati, A. Razi, A. Sayadian, “Speech naturalness improvement via e-closed extended vectors sets in voice conversion systems”, Springer Multidimensional System Signal Processing, Jan 2017, DOI 10.1007/s11045-017-0470-3 (Link) (PDF) (Bibtex)
A. Razi, S. Singh, F. Afghah, V. Varadan, “Network-based Enriched Gene Subnetwork Identification: A Game Theoretic Approach”, Biomedical Engineering and Computational Biology, vol. 7, no. 2, pp1-14, April 2016, PMID: 4822726 (Link) (PDF) (Bibtex)
Vinay Varadan, Nevenka Dimitrova, Anil Belur Nagaraj, Abolfazl Razi, Salendra Singh, Sitharthan Kamalakaran, Nilanjana Banerjee, Peronne Joseph, Alexander Mankovich, Prateek Mittal, and Analisa DiFeo, “InFlo: A Novel Systems Biology Framework Identifies cAMP-CREB1 Axis as a Key Modulator of Platinum Resistance in Ovarian Cancer”, Nature Oncogene, Nov 2016, PMID: 27819677 (Link) (PDF) (Bibtex)
F. Afghah, A. Razi, S.M.Reza Soroushmehr, S. Molaei, H. Ghanbari and K. Najarian, “A Game Theoretic Predictive Modeling Approach to Reduction of False Alarm”, Lecture Notes in Computer Science, vol. 9545, pp118-130, Springer, Jan 2016 (Link)
A. Razi, F. Afghah, A.Abedi, “Channel-Adaptive Packetization Policy For Minimal Latency and Maximal Energy Efficiency”, IEEE transactions on Wireless Communications, vol 15, no. 3, pp 2407-2420, March 2016 (Link) (PDF) (Bibtex)
F. Afghah, A. Razi, “Game Theoretic Study of Cooperative Spectrum Leasing in Cognitive Radio Networks”, International Journal of Handheld Computing Research, vol. 5, no. 2, 2014 (Link) (PDF) (Bibtex)
A. Razi, A. Abedi, “Convergence Analysis of Iterative Decoding for Binary CEO Problem”, IEEE transactions on Wireless Communications, vol. 13, no. 5, pp 2944-2954, May 2014 (Link) (PDF) (Bibtex)
A. Razi, A. Abedi, “Power Optimized DSTBC Assisted DMF Relaying in Wireless Sensor Networks with Redundant Super nodes”, IEEE transactions on Wireless Communications, vol. 12, no. 2, pp 636-645, Jan. 2013 (Link) (PDF) (Bibtex)
F. Afghah, A. Razi, A. Abedi, “Stochastic Game Theoretical Model for Packet Forwarding in Relay Networks”, Special issues in Mobile Computing and Networking Technologies Journal, Springer, vol. 25, no. 4, pp 1877-1893, April 2013 (Link) (PDF) (Bibtex)
K.Yasami, A.Razi, A.Abedi, “Analysis of Channel Estimation Error in Physical Layer Network Coding”, IEEE Communications Letters, vol. 15, no. 10, pp1029-1031, Oct 2011 (Link) (PDF) (Bibtex)
A. Razi, F. Afghah, A. Abedi, “Binary Source Estimation Using a Two-tiered Wireless Sensor Networks”, IEEE Communications Letters, vol. 15, no. 14, pp 449-551, April 2011 (Link) (PDF) (Bibtex)
F. Afghah, M. Ardebilipour, A. Razi, “Fast Turbo Codes Concatenated with Space-Time Block Codes”, ISI Journal of Applied Science, no. 8, pp 2867-2873, 2008 (Link) (PDF) (Bibtex)
Conference Papers
Ashish Bastola, Nishant Luitel, Hao Wang, Danda Pani Paudel, Roshni Poudel, Abolfazl Razi, “Robust-Former: Noise-Robust Pre-training for Images and Videos,” in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), May 2026, Tucson, Arizona. (Link)
Xiwen Chen, Wenhui Zhu, Peijie Qiu, Hao Wang, Huayu Li, Haiyu Wu, Xuanzhao Dong, Aris Sotiras, Yalin Wang, Abolfazl Razi, “Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation,” in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), May 2026, Tucson, Arizona. (Link)
Wenhui Zhu, Peijie Qiu, Xiwen Chen, Zhangsihao Yang, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang, “How Effective Can Dropout Be in Multiple Instance Learning?,” in International Conference on Machine Learning (ICML), July 2025, Vancouver, BC, Canada. (Link)
Xiwen Chen, Wenhui Zhu, Peijie Qiu, Hao Wang, Huayu Li, Zihan Li, Yalin Wang, Aristeidis Sotiras, Abolfazl Razi, “FIC-TSC: Learning Time Series Classification with Fisher Information Constraint,” in International Conference on Machine Learning (ICML), July 2025, Vancouver, BC, Canada. (Link)
Xiwen Chen, Peijie Qiu, Wenhui Zhu, Hao Wang, Huayu Li, Xuanzhao Dong, Xiaotong Sun, Xiaobing Yu, Yalin Wang, Abolfazl Razi, et al., “Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis,” Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025. (Link)
Hao Wang, Hongkui Zheng, Kai He, Abolfazl Razi, “AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging,” in ICCV 2025 Workshop, 2025. (Link)
Michael Elrod, Niloufar Mehrabi, Rahul Amin, Manveen Kaur, Long Cheng, Jim Martin, Abolfazl Razi, “Graph Based Deep Reinforcement Learning Aided by Transformers for Multi-Agent Cooperation,” in 2nd Workshop on Emerging Technologies in Aerial and Space Networks (WS02) at IEEE International Communications Conference (ICC), June 2025, Montreal, Quebec, Canada. (Link)
Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi, “Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 15, pp. 15913–15921, 2025. (Link)
Peijie Qiu, Wenhui Zhu, Sayantan Kumar, Xiwen Chen, Jin Yang, Xiaotong Sun, Abolfazl Razi, Yalin Wang, Aristeidis Sotiras, “Multimodal Variational Autoencoder: A Barycentric View,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 19, pp. 20060–20068, 2025. (Link)
Zhao Zhang, Xiwen Chen, Meenakshi Mukherji, Bruce Z. Gao, Abolfazl Razi, Tong Ye, “Deep learning-enabled quantification of the capillary network in the myocardium by autofluorescence imaging,” Diagnostic and Therapeutic Applications of Light in Cardiology 2025 (Proceedings of SPIE), vol. 13295, pp. 7–12, 2025. (Link)
Xiwen Chen, Huayu Li, Peijie Qiu, Wenhui Zhu, Rahul Amin, Abolfazl Razi, “RD-DPP: Rate-distortion theory meets determinantal point process to diversify learning data samples,” in 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 6911–6920, 2025. (Link)
Niloufar Mehrabi, Sayed Pedram Haeri Boroujeni, Jenna Hofseth, Abolfazl Razi, Long Cheng, Manveen Kaur, James Martin, Rahul Amin, “Adaptive data transport mechanism for UAV surveillance missions in lossy environments,” in 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), pp. 1–4, 2025. (Link)
Hao Wang, Xiwen Chen, Ashish Bastola, Jiayou Qin, Abolfazl Razi, “Diffusion Prism: Enhancing Diversity and Morphology Consistency in Mask-to-Image Diffusion,” Proceedings of the Winter Conference on Applications of Computer Vision (WACV), pp. 228–237, 2025. (Link)
Alireza Ebrahimi, Connor Gouin, Sayed Pedram Haeri Boroujeni, Juan Carlos Tique Rangel, Tolunay Seyfi, Truong X. Nghiem, Abolfazl Razi, Morgan Vigil-Hayes, Paul L. Heinrich, Fatemeh Afghah, “DISCOVER: A Cyberinfrastructure Testbed for Distributed Computing and Networking in Rural and Remote Environments,” in 2025 IEEE 26th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), pp. 317–322, 2025. (Link)
Hazim Alzorgan, Abolfazl Razi, “Monte Carlo Beam Search for Actor-Critic Reinforcement Learning in Continuous Control,” in The 22nd International Conference on Ubiquitous Robots (UR), June 2025, Texas A&M University, College Station, Texas, USA. (Link)
Peijie Qiu, Xiwen Chen, Abolfazl Razi, Yujian Xiong, Oana M. Dumitrascu, Wenhui Zhu, “DME-MobileNet: Fine-Tuning nnMobileNet for Diabetic Macular Edema Classification,” in Ultra-Widefield Fundus Imaging for Diabetic Retinopathy: First MICCAI Challenge (UWF4DR 2024), held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings, vol. 15597, p. 155, 2025. (Link)
Oana M. Dumitrascu, Abolfazl Razi, Yalin Wang, “Many-MobileNet: Multi-model Augmentation for Robust Retinal Disease Classification,” in Ultra-Widefield Fundus Imaging for Diabetic Retinopathy: First MICCAI Challenge (UWF4DR 2024), held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings, vol. 15597, p. 144, 2025. (Link)
Xuanzhao Dong, Yalin Wang, Yanxi Chen, Xin Li, Hao Wang, Peijie Qiu, Xiwen Chen, Abolfazl Razi, Yujian Xiong, Oana M. Dumitrascu, et al., “DME-MobileNet: Fine-Tuning nnMobileNet for Diabetic Macular Edema Classification,” MICCAI Challenge on Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, pp. 155–164, Springer Nature Switzerland, Cham, 2024. (Link)
Wenhui Zhu, Xiwen Chen, Peijie Qiu, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang, “DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification,” in European Conference on Computer Vision (ECCV), pp. 333–351, Cham: Springer Nature Switzerland, 2024. (Link)
Zhu, W., Chen, X., Qiu, P., Farazi, M., Sotiras, A., Razi, A., Wang, Y., “SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation,” in the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 1–10, October 6–10, 2024. (Link)
Hao Wang, Wenhui Zhu, Jiayou Qin, Xin Li, Oana Dumitrascu, Xiwen Chen, Peijie Qiu, Abolfazl Razi, Yalin Wang, “Rbad: A dataset and benchmark for retinal vessels branching angle detection,” in 2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), pp. 1–8, 2024. (Link)
Hao Wang, Jiayou Qin, Xiwen Chen, Ashish Bastola, John Suchanek, Zihao Gong, Abolfazl Razi, “Motor Focus: Fast Ego-Motion Prediction for Assistive Visual Navigation,” in 2024 IEEE 20th International Conference on Body Sensor Networks (BSN), pp. 1–4, 2024. (Link)
Ata Jahangir Moshayedi, Izhar Lskar, Shuxin Yang, Shashikant Kisanrao Shinde, Abolfazl Razi, Mehran Emadi Andani, “IOTToe: A Smart System for In/Out-Toeing Foot Identification,” in 2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE), pp. 1510–1514, 2024. (Link)
Xiwen Chen, Sayed Pedram Haeri Boroujeni, Xin Shu, Huayu Li, Abolfazl Razi, “Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis,” in Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, pp. 196–207, 2024. (Link)
Xiangyu Jiang, Xiwen Chen, Hao Wang, Abolfazl Razi, “Geographical Information Alignment Boosts Traffic Analysis via Transpose Cross-attention,” in 2024 IEEE International Conference on Big Data (BigData), pp. 6031–6036, 2024. (Link)
Hao Wang, Sayed Pedram Haeri Boroujeni, Xiwen Chen, Ashish Bastola, Huayu Li, Wenhui Zhu, Abolfazl Razi, “Flame Diffuser: Wildfire Image Synthesis Using Mask Guided Diffusion,” in 2024 IEEE International Conference on Big Data (BigData), pp. 6171–6179, 2024. (Link)
Chen, X., Qiu, P., Zhu, W., Li, H., Wang, H., Sotiras, A., Wang, Y., Razi, A., “TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning,” in The Forty-first International Conference on Machine Learning (ICML), Vienna, Austria, July 21–27, 2024. (Link)
Chen, X., Wang, H., Zhang, Z., Li, Z., Li, H., Ye, T., Razi, A., “Enhancing Digital Hologram Reconstruction Using Reverse-Attention Loss for Untrained Physics-Driven Deep Learning Models with Uncertain Distance,” SPIE AI and Optical Data Sciences, vol. 12903, pp. 132–141, March 3, 2024, Washington DC, USA. (Link)
Chen, X., Zhu, W., Qiu, P., Razi, A., “Imaging Signal Recovery Using Neural Network Priors Under Uncertain Forward Model Parameters,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1420–1429, June 17–21, 2024, Seattle, Washington, USA. (Link)
Uma Meleti, Abolfazl Razi, Fatemeh Afghah, “Obscured Wildfire Flame Detection By Spatio-Temporal Analysis of Smoke Patterns Using Frame-Wise Transformers,” in DCOSS-IoT, April 29–31, 2024, Abu Dhabi, UAE. (Link)
Sarlak, A., Alzorgan, H., Boroujeni, S. P. H., Razi, A., Amin, R., “Enhanced Cooperative Perception for Autonomous Vehicles Using Imperfect Communication,” in DCOSS-IoT, April 29–31, 2024, Abu Dhabi, UAE. (Link)
Bastola, A., Wang, H., Chen, X., Razi, A., “FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling,” in DCOSS-IoT, April 29–31, 2024, Abu Dhabi, UAE. (Link)
Ahmad Sarlak, Xiwen Chen, Rahul Amin, Abolfazl Razi, “Diversity Maximized Scheduling in Road-Side Units for Traffic Monitoring Applications,” in 48th Annual IEEE Conference on Local Computer Networks (LCN), October 1–5, 2023, Daytona Beach, Florida, USA. (Link)
Sarlak, A., Boroujeni, S. P. H., Alzorgan, H., Amin, R., Razi, A., Rajoli, H., “Cooperative Perception for Connected Autonomous Vehicles Under Constrained V2V Networking,” in 57th Asilomar Conference on Signals, Systems, and Computers, pp. 210–214, 2023. (Link)
Manveen Kaur, Abolfazl Razi, Long Cheng, Rahul Amin, Jim Martin, “Design and Evaluation of an Application-Oriented Data-Centric Communication Framework for Emerging Cyber-Physical Systems,” in 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), pp. 875–878, 2023. (Link)
Alzorgan, H., Razi, A., “Actuator Trajectory Planning for UAVs with Overhead Manipulator using Reinforcement Learning,” in 5th IEEE Workshop on Wireless Networking, Planning, and Computing for UAV Swarms (SwarmNet) at IEEE PIMRC, September 5–8, 2023, Toronto, ON, Canada. (Link)
Moshayedi, A. J., Soleimani, M., Marani, M., Yang, S., Razi, A., Andani, M. E., “Fingerprint Identification Banking (FIB); Affordable and Secure Biometric IOT Design,” in 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT), pp. 384–390, 2023. (Link)
Hao Wang, Xiwen Chen, Abolfazl Razi, Michael Kozicki, Rahul Amin, Mark Manfredo, “Nano-Resolution Visual Identifiers Enable Secure Monitoring in Next-Generation Cyber-Physical Systems,” in 9th Annual Conference on Computational Science and Computational Intelligence (CSCI’22), December 2022, Las Vegas, USA. (Link)
Hao Wang, Xiwen Chen, Abolfazl Razi, Rahul Amin, “Fast Key Points Detection and Matching for Tree-Structured Images,” in 9th Annual Conference on Computational Science and Computational Intelligence (CSCI’22), December 2022, Las Vegas, USA. (Link)
J. Qu, Y. Zhang, K. Zhou, A. Razi, “Long Time Target Tracking Algorithm Based on Multi-Feature Fusion and Correlation Filtering,” in 4th International Conference on Artificial Intelligence and Pattern Recognition (AIPR), pp. 29–35, September 2021. Xiamen, China, (Link)
H. Li, H. Wu, X. Chen, H. Wang, A. Razi, “Towards Boosting Channel Attention for Real Image Denoising: Sub-band Pyramid Attention,” in Springer International Conference on Image and Graphics, pp. 303–314, Cham, August 2021. (Link)
Xiwen Chen, Huayu Li, Abolfazl Razi, “Boosting Belief Propagation for LDPC Codes with Deep Convolutional Neural Network Predictors,” accepted in IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, 2021. (Link)
A.R. Korenda, F. Afghah, A. Razi, B. Cambou, T. Begay, “Fuzzy Key Generator Design using ReRAM-Based Physically Unclonable Functions,” in IEEE Physical Assurance and Inspection of Electronics (PAINE), pp. 1–7, 2021. (Link)
Han Peng, Abolfazl Razi, “Fully Autonomous UAV-based Action Recognition System Using Aerial Imagery,” in International Symposium on Visual Computing (ISVC), pp. 270-290. Jun 2020, Fez-Morocsso, (Link)
Haiyu Wu, Huayu Li, Alireza Shamsoshoara, Abolfazl Razi, Fatemeh Afghah, “Transfer Learning for Wildfire Identification in UAV Imagery,” in 54th Annual Conference on Information Sciences and Systems (CISS), pp. 1–6, March 2020. (Link)
H. Li, A. Razi, “MEDA: Multi-output Encoder-Decoder for Spatial Attention in Convolutional Neural Networks,” in Asilomar Conference on Signals, Systems and Computers, pp. 2087–2091, Pacific Grove, CA, November 2019. (Link)
S. Islam, F. Afghah, A. Razi, “Fire Frontline Monitoring by Enabling UAV-Based Virtual Reality with Adaptive Imaging Rate,” in Asilomar Conference on Signals, Systems and Computers, pp. 368–372, Pacific Grove, CA, November 2019. (Link)
Junsuo Qu, Ning Qiao, Abolfazl Razi, “Convolutional Neural Network for Human Behavior Recognition Based on Smart Bracelet,” in Euro-China Conference on Intelligent Data Analysis and Applications (ECC), Arad, Romania, October 2019. (Link)
A. Shamsoshoara, M. Khaledi, F. Afghah, A. Razi, J. Ashdown, K. Turck, “A Solution for Dynamic Spectrum Management in Mission-critical UAV Networks,” in IEEE SECON Workshop on Networks of Autonomous Vehicles, Robots, Sensors (IAUV), Boston, June 2019. (Link)
J. Cheng, A. Valehi, F. Afghah, A. Razi, “A Deviation Analysis Framework for ECG Signals Using Controlled Spatial Transformation,” in IEEE-EMBS International Conference on Biomedical and Health Informatics, Chicago, May 2019. (Link)
S. Mousavi, F. Afghah, A. Razi, R. Acharya, “ECGNET: Learning Where to Attend for Detection of Atrial Fibrillation with Deep Visual Attention,” in IEEE-EMBS International Conference on Biomedical and Health Informatics, Chicago, May 2019. (Link)
F. Afghah, A. Razi, “Wildfire Monitoring in Remote Areas using Autonomous Unmanned Aerial Vehicles,” in INFOCOM Workshop on Mission-Oriented Wireless Sensor, UAV and Robot Networking, Paris, France, May 2019. (Link)
S. Islam, A. Razi, “A Path Planning Algorithm for Collective Monitoring Using Autonomous Drones,” in 53rd Annual Conference on Information Sciences and Systems (CISS), pp. 1–6, Baltimore, MD, March 2019. (Link)
A. Shamsoshoara, M. Khaledi, F. Afghah, A. Razi, J. Ashdown, “Distributed Cooperative Spectrum Sharing in UAV Networks using Multi-Agent Reinforcement Learning,” in IEEE Consumer Communications and Networking Conference (CCNC), pp. 1–6, Las Vegas, January 2019. (Link)
A. Rovira-Sugranes, A. Razi, “Optimized Compression Policy for Flying Ad Hoc Networks,” in IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, January 2019. (Link)
M. Finely, A. Razi, “Musical Key Estimation with Unsupervised Pattern Recognition,” in IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, January 2019. (Link)
M. Khaledi, A. Rovira-Sugranes, F. Afghah, A. Razi, “On Greedy Routing in Dynamic UAV Networks,” in IEEE SECON, Hong Kong, 2018. (Link)
F. Afghah, M. Zaeri Amirani, A. Razi, J. Chakareski, E. Bentley, “A Coalition Formation Approach to Coordinated Task Allocation in Heterogeneous UAV Networks,” in IEEE American Control Conference (ACC), Milwaukee, USA, 2017. (Link)
S. Naqvi, J. Chakareski, N. Mastronarde, J. Xu, F. Afghah, A. Razi, “Energy Efficiency Analysis of UAV-Assisted mmWave HetNets,” in IEEE International Communications Conference (ICC), Kansas City, USA, 2018. (Link)
A. Razi, C. Wang, F. Almaraghi, Q. Huang, Y. Zhang, H. Lu, A. Sugranes, “Predictive Routing for Wireless Networks: Robotics-Based Test and Evaluation Platform,” in IEEE Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, January 2018. (Link)
J. Chen, A. Razi, “A Predictive Framework for ECG Signal Processing Using Controlled Nonlinear Transformation,” in IEEE Conference on Biomedical and Health Informatics (BHI), Las Vegas, March 2018. (Link)
A. R. Sugranes, A. Razi, “Predictive Routing for Dynamic UAV Networks,” in IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), Montreal, CA, October 2017. (Link)
A. Razi, F. Afghah, J. Chakareski, “Optimal Measurement Policy for Predicting UAV Network Topology,” in Asilomar Conference on Signals, Systems and Computers, CA, USA, October 2017. (Link)
J. Chen, “Remote ECG Monitoring Kit to Predict Patient-Specific Heart Abnormalities,” accepted in World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI), Orlando, FL, July 2017. (Link)
A. Valehi, A. Razi, B. Cambou, W. Yu, M. Kozicki, “A graph matching algorithm for user authentication in data networks using image-based physical unclonable functions,” in Computing Conference, London, UK, July 2017. (Link)
A. Razi, A. Valehi, E. Bentley, “Delay Minimization by Adaptive Framing Policy in Cognitive Sensor Networks,” in IEEE Wireless Communications and Networking Conference (WCNC), San Francisco, CA, USA, March 2017. (Link)
H. Tavakkoli, A. Razi, “Optimizing Low Density Parity Check Code for Two Parallel Erasure Links,” in International Symposium on Information Theory and Its Applications (ISITA), Monterey, CA, USA, October 2016. (Link)
A. Razi, F. Afghah, V. Varadan, “Identifying Gene Subnetworks Associated with Clinical Outcome in Ovarian Cancer Using Network-Based Coalition Game,” in IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, August 2015, PMID: 26737784. (Link)
F. Afghah, A. Razi, K. Najarian, “A Shapley Value Solution to Game Theoretic-Based Feature Reduction in False Alarm Detection,” in Workshop on Machine Learning in Healthcare, Neural Information Processing Systems (NIPS), Montreal, Canada, December 2015. (Link)
F. Afghah, A. Razi, S.M.R. Soroushmehr, S. Molaei, H. Ghanbari, K. Najarian, “A Game Theoretic Predictive Modeling Approach to Reduction of False Alarm,” in 2015 International Conference for Smart Health (ICSH’15), Mayo Clinic, 2015. (Link)
A. Razi, N. Banerjee, N. Dimitrova, V. Vinay, “Non-linear Bayesian Framework to Determine the Transcriptional Effects of Cancer-Associated Genomic Aberrations,” in IEEE Engineering in Medicine and Biology Society (EMBC), Italy, August 2015, PMID: 26737785. (Link)
L. Wang, A. Razi, M. Rodriges, R. Calderbank, L. Carin, “Nonlinear Information-Theoretic Compressive Projection Design,” in International Conference on Machine Learning (ICML), vol. 32, China, 2014. (Link)
A. Razi, F. Afghah, A. Belle, K. Najarian, K. Ward, “Blood Loss Severity Prediction Using Game Theoretic-Based Feature,” in IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), pp. 776–780, Italy, 2014. (Link)
F. Afghah, A. Razi, “Cooperative Spectrum Leasing in Cognitive Radio Networks,” in National Wireless Research Collaboration Symposium (NWRCS), pp. 106–111, Idaho Falls, USA, May 2014. (Link)
A. Razi, A. Abedi, A. Ephremides, “Delay Minimization with Channel-Adaptive Packetization Policy for Random Data Traffic,” in 48th Annual Conference on Information Sciences and Systems (CISS), Princeton University, pp. 1–6, March 2014. (Link)
F. Afghah, A. Razi, A. Abedi, “Power Allocation in Parallel Relay Channels Using a Near-Potential Game Theoretical Approach,” in 48th Annual Conference on Information Sciences and Systems (CISS), Princeton University, pp. 1–6, March 2014. (Link)
F. Afghah, M. Costa, A. Razi, A. Abedi, A. Ephremides, “A Reputation-based Stackelberg Game Approach for Spectrum Sharing with Cognitive Cooperation,” in IEEE 52nd Annual Conference on Decision and Control (CDC), pp. 3287–3292, Firenze, Italy, 2013. (Link)
A. Razi, A. Abedi, “Adaptive Bi-Modal Decoder for Binary Source Estimation with Two Observers,” in 46th Annual Conference on Information Sciences and Systems (CISS), Princeton University, pp. 1–5, March 2012. (Link)
A. Abedi, A. Razi, F. Afghah, “Smart Battery-Free Wireless Sensor Networks for Structural Health Monitoring,” in the 8th International Workshop on Structural Health Monitoring, Stanford University, USA, September 2011. (Link)
A. Razi, A. Abedi, “Interference Reduction in Wireless Passive Sensor Networks Using Directional Antennas,” Best Paper Award, IEEE Fly by Wireless Workshop, pp. 1–4, Montreal, Canada, June 2011. (Link)
A. Razi, A. Abedi, “Study and Implementation of Distributed PCCC Coding Scheme for Binary Source Estimation Using Multiple Observations,” Poster presentation, School of Information Theory, Austin, USA, May 2011. (Link)
A. Razi, K. Yasami, A. Abedi, “On Minimum Number of Wireless Sensors Required for Reliable Binary Source Estimation,” in IEEE Wireless Communications and Networking Conference (WCNC), pp. 1852–1857, Cancun, Mexico, March 2011. (Link)
F. Afghah, A. Razi, A. Abedi, “Throughput Optimization in Relay Networks Using Markovian Game Theory,” in IEEE Wireless Communications and Networking Conference (WCNC), pp. 1080–1085, Cancun, Mexico, March 2011. (Link)
A. Razi, F. Afghah, A. Abedi, “Hierarchical Network Development of Wireless Passive Sensors,” in IEEE Fly by Wireless Workshop, pp. 30–31, August 2010. (Link)
F. Afghah, A. Razi, A. Abedi, “Wireless Cooperative Relaying Using Game Theory,” in CANEUS/IEEE Fly by Wireless Workshop, pp. 24–27, Orono, USA, August 2010. (Link)
A. Razi, A. Abedi, “Distributed Coding of Sources with Unknown Correlation Parameter,” in World Congress in Computer Science, Computer Engineering, and Applied Computing (WorldComp’10), pp. 566–571, Las Vegas, April 2010. (Link)
A. Razi, M. Ardebilipour, F. Afghah, “Space-Time Block Codes Assisted by Fast Turbo Codes,” in the 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2008), pp. 1–6, Dalian, China, October 2008. (Link)
F. Afghah, M. Ardebilipour, A. Razi, “Concatenation of Space-Time Block Codes and LDPC Codes,” in the 13th International Telecommunications Network Strategy and Planning Symposium (NETWORK 2008), pp. 61–66, Budapest, Hungary, September 2008. (Link)
Book Chapters
A. Abedi, F. Afghah, A. Razi, “Resource Management in Cyber Physical Systems”, Book: “Cyber-Physical System Design with Sensor Networking Technologies”, The institution of Engineering and Technology (IET) (Link)
R. Dias, B.R. Thomas, A. Razi, L.A. Chylek, S. Sirimulla, A.H.A. Clayton, W.S. Hlavacek, R.G. Posner, “BioNetFit User Manual’’, Submitted, Publisher: Methods on Molecular Biology series, Submitted 2019 () (Preprint)
A. Razi, A. Abedi, “Information-flow in hard to reach areas: Source estimation using correlated streams’’, Publisher: Artech House, Submitted 2017 (Preprint)
A. Abedi, A. Razi, “Sensor Design for Harsh Environments: Material Science Perspective’’, Publisher: Artech House, Submitted 2017 (Preprint)
