Biography
Arslan Munir is currently an Associate Professor in the Department of Electrical Engineering and Computer Science (EECS) at Florida Atlantic University (FAU). He is also an Adjunct Associate Professor at Kansas State University (KSU). He has been awarded the distinction of University Outstanding Scholar for lifetime in May 2024. He joined FAU as tenured Associate Professor in August 2024. Before joining FAU, he was a tenured Associate Professor at KSU. He also held a tenure-track Assistant Professor position in the Department of Computer Science and Engineering (CSE) at the University of Nevada, Reno (UNR) from July 2014 to June 2017. He was a postdoctoral research associate in the Electrical and Computer Engineering (ECE) department at Rice University, Houston, Texas, USA from May 2012 to June 2014. He received his M.A.Sc. in ECE from the University of British Columbia (UBC), Vancouver, Canada, in 2007 and his Ph.D. in ECE from the University of Florida (UF), Gainesville, Florida, USA, in 2012.
Education
- Post-Doctorate, Electrical and Computer Engineering, Rice University, 2014
- Ph.D., Electrical and Computer Engineering, University of Florida, 2012
- M.A.Sc., Electrical and Computer Engineering, University of British Columbia, 2007
Research Overview
My research here targets design of cognitive architectures that can enable embedded devices to learn, think, and understand both physical and social worlds by themselves.
My research here aspires to develop comprehensive models, metrics, frameworks, and tools for analysis,
My research agenda here is the hardware implementation of cryptographic protocols for performance and energy-efficiency, and to incorporate hardware-based security primitives (e.g., physically unclonable functions (PUFs),
My research in smart grid aims at developing public key cryptography and post-quantum cryptography-based authentication and secret key establishment techniques and symmetric cryptography-based secure communication between nodes in a smart grid to ensure reliable and secure operation of smart grid.
My research here targets applications of Artificial Intelligence (AI) and computer vision at the edge.
My research agenda here is the design of secure and trustworthy intelligent systems, embedded systems,
My research in agriculture aims at developing advanced edge cyber-physical systems (CPS) frameworks and novel technologies for smart agriculture to help ensure sustainable food supply for future generations. Additionally, my research focuses on the use of computer vision and deep learning techniques in digital and precision agriculture, in particular,
My research here targets design of a reconfigurable fog node architecture, and developing fog-assisted architectures for smart cities, smart farming,
My research in quantum computing and quantum machine learning aims at developing hybrid quantum-classical machine learning circuits and algorithms to improve scalability,
My research here focuses on developing novel Internet of thing (IoT) architectures and lightweight optimization methodologies to better meet diverse and varying application requirements,
My current ITS research focus on autonomous vehicles. Modern cars consist of more than 50 Electronic Control Units (ECUs) to implement various distributed control applications, such as control and infotainment applications. My research agenda,
My research agenda, here, is the HW/SW co-design and optimization of performance per watt for parallel architectures,
Publications
- Conference Publication
January 2024
Doha, Qatar
Matthew Baker, Muhammad Farooq Umar, Mohammad B. Shadmand, and Arslan Munir, “Real-time AI-based Fault Detection and Localization in Power Electronics Dominated Grids”, Proc. of the IEEE International Conference on Smart Grid and Renewable Energy (SGRE), Doha, Qatar, January 2024.
- Conference Publication
- January 2024
- Orlando, Florida
Atri Dutta, Adrian Arustei, Matthew Chace, Pardhasai Chadalavada, James Steck, Talha Zaidi, and Arslan Munir, “Machine Learning Assisted Low-Thrust Orbit-Raising: A Comparative Assessment of a Sequential Algorithm and Deep Reinforcement Learning Approach”, Proc. of The AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum, Orlando, Florida, January 2024.
- Journal Publication
- 2024
Sumaira Ghazal, Arslan Munir, and Waqar S. Qureshi, “Computer vision in smart agriculture and precision farming: Techniques and applications”, Elsevier KeAi Artificial Intelligence in Agriculture, vol. 13, pp. 64-83, September 2024.
- Journal Publication
- 2024
Sidra Muqaddas, Waqar S. Qureshi, Hamid Jabbar, Arslan Munir, and Azeem Haider, “A comprehensive deep learning approach for harvest ready sugarcane pixel classification in Punjab, Pakistan using Sentinel-2 multispectral imagery”, Elsevier Remote Sensing Applications: Society and Environment, vol. 35, pp. 1-21, August 2024.
- Books
- October 2023
Arslan Munir, Joonho Kong, Mahmood Azhar Qureshi, “Accelerators for Convolutional Neural Networks”, ISBN: 978-1-394-17188-0, Wiley-IEEE Press, 304 pages, October 2023.
- Books
- February 2016
Arslan Munir, Ann Gordon-Ross, and Sanjay Ranka, “Modeling and Optimization of Parallel and Distributed Embedded Systems”, ISBN: 978-1-119-08641-3, Wiley-IEEE Press, 400 pages, February 2016. (acceptance rate: 18%)
- Books Chapters
- 2022
Patita Paban Mohanty and Arslan Munir, “Contactless Service in Post-COVID-19: An Insight from the Hospitality Industry”, ISBN: xxx-x-xxxx-xxxx-x, Apple Academic Press, Inc., CRC Press, Taylor & Francis Group, LLC, 2022.
- Books Chapters
- January 2013
Arslan Munir, Sanjay Ranka, and Ann Gordon-Ross, “Modeling of Scalable Embedded Systems”, CH 29 in Scalable Computing and Communications: Theory and Practice, Samee U. Khan, Lizhe Wang, and Albert Y. Zomaya (Ed.), ISBN: 978-1-1181-6265-1, John Wiley & Sons, pp. 629-657, January 2013.
- Conference Publication
- November 2024
- Chicago, Illinois
Sardar Ali Abbas, Waqar S. Qureshi, and Arslan Munir, “Design and Development of an Unmanned Orchard Spraying Robot with Two Degrees of Freedom”, Proc. of the 50th Annual Conference of the IEEE Industrial Electronics Society (IECON), Chicago, Illinois, November 2024.
- Conference Publication
- January 2024
- Doha, Qatar
Matthew Baker, Muhammad Farooq Umar, Mohammad B. Shadmand, and Arslan Munir, “Real-time AI-based Fault Detection and Localization in Power Electronics Dominated Grids”, Proc. of the IEEE International Conference on Smart Grid and Renewable Energy (SGRE), Doha, Qatar, January 2024.
- Conference Publication
- January 2024
- Orlando, Florida
Atri Dutta, Adrian Arustei, Matthew Chace, Pardhasai Chadalavada, James Steck, Talha Zaidi, and Arslan Munir, “Machine Learning Assisted Low-Thrust Orbit-Raising: A Comparative Assessment of a Sequential Algorithm and Deep Reinforcement Learning Approach”, Proc. of The AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum, Orlando, Florida, January 2024.
- Conference Publication
- September 2022
- Ioannina, Greece
Muhammad Zubair Khan, Yugyung Lee, Muazzam Ali Khan, and Arslan Munir, “Towards Long-Range Pixels Connection for Context-Aware Semantic Segmentation”, Proc. of IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Ioannina, Greece, September 2022. (acceptance rate: 18%)
- Conference Publication
- December 2021
- Houston, Texas, Online
Muhammad Zubair Khan, Yugyung Lee, Arslan Munir, and Muazzam Ali Khan, “Detecting Chronic Vascular Damage with Attention-Guided Neural System”, Proc. of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Houston, Texas, Online, December 2021. (acceptance rate: 19.6%)
- Conference Publication
- December 2021
- Houston, Texas, Online
Muhammad Zubair Khan, Yugyung Lee, Arslan Munir, and Muazzam Ali Khan, “Multi-Feature Extraction with Ensemble Network for Tracing Chronic Retinal Disorders”, Proc. of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Houston, Texas, Online, December 2021. (acceptance rate: 19.6%)
- Conference Publication
- July 2021
- Las Vegas, Nevada
Arslan Munir, Alexander Aved, and Erik Blasch, “Artificial Intelligence-Assisted Situational Awareness: An Air Force Perspective”, Proc. of the 5th International Conference on Applied Cognitive Computing (ACC’21), Las Vegas, Nevada, July 2021.
- Journal Publication
- 2024
Sumaira Ghazal, Arslan Munir, and Waqar S. Qureshi, “Computer vision in smart agriculture and precision farming: Techniques and applications”, Elsevier KeAi Artificial Intelligence in Agriculture, vol. 13, pp. 64-83, September 2024.
- Journal Publication
- 2024
Sidra Muqaddas, Waqar S. Qureshi, Hamid Jabbar, Arslan Munir, and Azeem Haider, “A comprehensive deep learning approach for harvest ready sugarcane pixel classification in Punjab, Pakistan using Sentinel-2 multispectral imagery”, Elsevier Remote Sensing Applications: Society and Environment, vol. 35, pp. 1-21, August 2024.
- Journal Publication
- 2024
Arslan Munir, Alexander Aved, Khanh Pham, and Joonho Kong, “Trustworthiness of Situational Awareness: Significance and Quantification”, Journal of Cybersecurity and Privacy, vol. 4, no. 2, pp. 223-240, April 2024.
- Journal Publication
- 2024
Yousef Alghamdi and Arslan Munir, “Image Encryption Algorithms: A Survey of Design and Evaluation Metrics”, Journal of Cybersecurity and Privacy, vol. 4, no. 1, pp. 126-152, February 2024.
- Journal Publication
- 2024
Muhammad Ali Shafique, Arslan Munir, and Imran Latif, “Quantum Computing: Circuits, Algorithms, and Applications”, IEEE Access, vol. 12, pp. 22296-22314, February 2024.
- Journal Publication
- 2024
Zakir Khan, Syed Hamad Shirazi, Muhammad Shahzad, Arslan Munir, Assad Rasheed, Yong Xie, and Sarah Gul, “A Framework for Segmentation and Classification of Blood Cells Using Generative Adversarial Networks”, IEEE Access, vol. 12, pp. 51995-52015, March 2024.
- Journal Publication
- 2024
Ramsha Shahid, Waqar S. Qureshi, Umar S. Khan, Arslan Munir, Ayesha Zeb, Syed Imran Moazzam, “Aerial imagery-based tobacco plant counting framework for efficient crop emergence estimation”, Elsevier Computers and Electronics in Agriculture, vol. 217, pp. 1-14, February 2024.
- Books
- October 2023
Arslan Munir, Joonho Kong, Mahmood Azhar Qureshi, “Accelerators for Convolutional Neural Networks”, ISBN: 978-1-394-17188-0, Wiley-IEEE Press, 304 pages, October 2023.
- Books
- February 2016
Arslan Munir, Ann Gordon-Ross, and Sanjay Ranka, “Modeling and Optimization of Parallel and Distributed Embedded Systems”, ISBN: 978-1-119-08641-3, Wiley-IEEE Press, 400 pages, February 2016. (acceptance rate: 18%)
- Books Chapters
- 2022
Patita Paban Mohanty and Arslan Munir, “Contactless Service in Post-COVID-19: An Insight from the Hospitality Industry”, ISBN: xxx-x-xxxx-xxxx-x, Apple Academic Press, Inc., CRC Press, Taylor & Francis Group, LLC, 2022.
- Books Chapters
- January 2013
Arslan Munir, Sanjay Ranka, and Ann Gordon-Ross, “Modeling of Scalable Embedded Systems”, CH 29 in Scalable Computing and Communications: Theory and Practice, Samee U. Khan, Lizhe Wang, and Albert Y. Zomaya (Ed.), ISBN: 978-1-1181-6265-1, John Wiley & Sons, pp. 629-657, January 2013.
- Books Chapters
- 2013
Ann Gordon-Ross, Arslan Munir, Susan Lysecky, Roman Lysecky, Ashish Shenoy, and Jeff Hiner, “Dynamic Profiling and Optimization Methodologies for Sensor Networks”, CH 1 in Building Sensor Networks: From Design to Applications, Ioanis Nikolaidis and Krzysztof Iniewski (Ed.), ISBN: 978-1-4665-6272-1, CRC Press, Taylor & Francis Group, LLC, pp. 1-30, 2013.
- Books Chapters
- December 2010
Arslan Munir and Ann Gordon-Ross, “Optimization Approaches in Wireless Sensor Networks”, CH 13 in Sustainable Wireless Sensor Networks, Winston Seah and Yen Kheng Tan (Ed.), ISBN: 978-953-307-297-5, INTECH (Open Access Publisher), pp. 313-338, December 2010.
- Abstract
- January 2018
- Fort Worth, Texas
Neda Shabani, Arslan Munir, and Avishek Bose,”Analysis of Big Data Maturity Stage in Hospitality Industry”, Proc. of 23rd Annual Graduate Education and Graduate Student Research Conference in Hospitality and Tourism, Fort Worth, Texas, January 2018.
Recent Funding
DOE-CESER: “PKC and PUF-Based Authentication and Secret Key Establishment in Smart Grid”, Lead PI: Arslan Munir, Co-PIs: Arif Sarwat (FIU), Sumit Paudyal (FIU), Mohammad Shadmand (UIC), Sudip Mazumder (UIC); Source: U.S. Department of Energy (DOE); Total Award Amount: $3,906,126; Award Period: 8/1/2024 – 7/31/2027
USDA-NIFA-A7302-CPS: “CPS: Medium: FogAg: A Novel Fog-Assisted Smart Agriculture Framework for Multi-Layer Sensing and Real-Time Analytics of Water-Nitrogen Colimitations in Field Crops”, Lead PI: Arslan Munir, Co-PIs: Naiqian Zhang (KSU), Ignacio Ciampitti (KSU), Mitchell Neilsen (KSU), and Paul R. Armstrong (KSU); Source: U.S. Department of Agriculture (USDA)/National Institute of Food and Agriculture (NIFA); Total Award Amount: $1,000,000; Award Period: 7/1/2023 – 6/30/2026.
KOAPF: K-State Open Access Publishing Fund (KOAPF) award , PI: Arslan Munir; Source: Kansas State University; Total Award Amount: $1,387.50; Award Period: 2022
KSU-CS: “Quantum Computing Initiative”, Lead PI: Arslan Munir; Source: Department of Computer Science, Kansas State University; Total Award Amount: $46,000; Award Period: 2/1/2023 – 12/31/2026.
NSF-CRII-CPS-1564801: “Design of Secure and Dependable Next Generation Automotive Cyber-Physical Systems”, PI: Arslan Munir; Source: National Science Foundation (NSF); Total Award Amount: $174,440; Award Period: 4/1/2016 – 6/30/2017.
SRC-R65000: “Secure and Dependable Automotive Embedded Systems Design”, PI: Farinaz Koushanfar (Rice University), Co-PI: Arslan Munir; Source: Semiconductor Research Corporation, Global Research Collaboration (Industry); Total Award Amount: $180,000; Award Period: 9/1/2013 – 8/31/2016.
NSF-CNS-1542465: “RET Site: Cyber Security Initiative for Nevada Teachers (CSINT)”, PI: Dr. Shamik Sengupta (UNR), Senior Personnel: Arslan Munir; Source: National Science Foundation (NSF); Total Award Amount: $540,000; Award Period: 9/1/2015 – 8/31/2018.
NSF-CRII-CPS-1743490: “Design of Secure and Dependable Next Generation Automotive Cyber-Physical Systems”, PI: Arslan Munir; Source: National Science Foundation (NSF); Total Award Amount: $159,234; Award Period: 6/1/2017 – 3/31/2019.
Recent Books
Publisher’s Link
Recent Publications
Muhammad Zubair Khan, Yugyung Lee, Muazzam A. Khan, and Arslan Munir, “Towards Long-Range Pixels Connection for Context-Aware Semantic Segmentation”, Proc. of IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Ioannina, Greece, September 2022.
Muhammad Zubair Khan, Yugyung Lee, Muazzam A. Khan, and Arslan Munir, “Towards Long-Range Pixels Connection for Context-Aware Semantic Segmentation”, Proc. of IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Ioannina, Greece, September 2022.
Muhammad Zubair Khan, Yugyung Lee, Muazzam A. Khan, and Arslan Munir, “Towards Long-Range Pixels Connection for Context-Aware Semantic Segmentation”, Proc. of IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Ioannina, Greece, September 2022.