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Nabil Sarhan

Nabil Sarhan

Associate Professor, Electrical and Computer Engineering

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Nabil Sarhan

Biography

Dr. Nabil J. Sarhan is an Associate Professor of Electrical and Computer Engineering at Wayne State University and the Director of Wayne State Computer Systems and Deep Learning Research Laboratory. He served as the Graduate Program Director of Electrical and Computer Engineering and the Chair of the College of Engineering Faculty Assembly.

Dr. Sarhan received the Ph.D. and M.S. degrees in Computer Science and Engineering at the Pennsylvania State University and the B.S. degree in Electrical Engineering at Jordan University of Science and Technology.

Dr. Sarhan is an internationally recognized expert in computer systems, multimedia, video streaming, computer vision, and automated video surveillance. His is also interested in deep learning, hardware accelerators for AI, and spiking neural networks. He has published extensively in top venues and has recently been awarded a US Patent on the design of automated video surveillance systems. His research projects have been primarily sponsored by the National Science Foundation, Silicon Mechanics, and Sun Microsystems.

Dr. Sarhan served as the Chair of the Interest Group on Media Streaming of the IEEE Multimedia Communication Technical Committee and as the Co-Director of the IEEE Multimedia Communication Technical Committee Review Board. He served as Associate Editor of the IEEE Transactions on Circuits and Systems for Video Technology and is currently serving as an Editor of the ETRI Journal. He served as a Guest Editor and Reviewer for prestigious journals and magazines. Dr. Sarhan has been involved in the organization of numerous international conferences in various capacities, including General Chair, Chair, Technical Program Committee Co-Chair, Publicity Chair, Track Chair, Session Chair, and Technical Program Committee Member. In addition, he has participated as a Panelist in major international conferences. Dr. Sarhan served as a Panelist for the National Science Foundation and the National Institute of Health and as a Site Review Panelist for the Natural Sciences and Engineering Research Council of Canada.

Dr. Sarhan has served as an Expert Witness or Consulting Expert in numerous patent infringement cases related to methods, systems, software, websites, and mobile apps for media streaming, video streaming, video storage, video delivery, video/audio sharing, and video recording, involving major cellular networks, mobile operating systems makers, smartphone manufacturers, media streaming, and social media companies. He has also served as a Consulting Expert in intellectual property and other corporate litigation cases related to secure multimedia products for medical applications, encryption, anonymity, and IP addresses.

Dr. Sarhan has been actively involved in international educational reform, review, and accreditation activities. He served as an external expert for reforming computer science and computer engineering programs and courses. He also served as a chair or member of numerous panels for review and accreditation of universities and programs, including electrical and computer engineering, software engineering, and electrical engineering.

Dr. Sarhan is the recipient of the IEEE SEM Outstanding Professional of the Year Award, the Wayne State University President's Award for Excellence in Teaching, and the College of Engineering Excellence in Teaching Award. Dr. Sarhan is a Senior Member of the IEEE.

Courses Taught

  • Scalable and Secure Internet Services and Architectures: ECE CE 7650, Graduate, WSU
  • Advanced Computer Architecture: ECE 7660, Graduate, WSU
  • Computer Networking: ECE 5650, Graduate, WSU
  • Computer Architecture: ECE 4680, Undergraduate, WSU
  • Special topics on Multimedia: ECE 7995, Graduate, WSU
  • Special topics on Multimedia Networking: ECE 7995: Graduate, WSU
  • Special topics on Multimedia Systems and Networks: ECE 7995: Graduate, WSU
  • Data Structures and Algorithms: ECE 4050/CS 5050, Undergraduate, WSU
  • Microcomputer Systems and Programming: CSE 312, Undergraduate, Penn State
  • Computer Programming for Engineers: CMPSC 201c, Undergraduate, Penn State
  • Introduction to Algorithmic Processes: CMPSC 101, Undergraduate, Penn State

Research Interests

Computer systems, deep learning, video streaming, multimedia, computer vision, automated video surveillance, hardware accelerators for AI, and spiking neural networks.

Research Group

Wayne State Deep Learning Research Lab

Research Projects

  • Design of computer vision systems for optimizing the detection/recognition accuracy
  • Prediction of epileptic seizures with deep learning
  • Design of analog neural network accelerators
  • Compute-in-time deep neural network accelerators
  • Analytical modeling of deep learning accuracy in computer vision applications
  • Optimal control of PTZ cameras in automated video surveillance systems
  • Towards resource-efficient automated video surveillance systems
  • Efficient delivery of video-on-demand streams to heterogeneous receivers
  • Reconfigurable high-performance cluster for computing and medical engineering applications
  • Sun's center of excellence in open source computing and applications
  • Efficient delivery of video-on-demand streams to heterogeneous receivers

Publications

  • Shiva Maleki Varnosfaderani, Ian McNulty, Nabil J. Sarhan, Waleed Abood, and Mohammad Alhawari. An Efficient Epilepsy Prediction Model on European Dataset with Model Evaluation Considering Seizure Types. IEEE Journal of Biomedical and Health Informatics, July 2024, DOI: 10.1109/JBHI.2024.3423766.
  • Yousef O. Sharrab, Mohammad A. Alsmirat, Mohammad Ali H. Eljinini, and Nabil J. Sarhan. iHELP: a model for instant learning of video coding in VR/AR real-time applications. Multimedia Tools Appl (2024), Published: March 2024. https://doi.org/10.1007/s11042-024-18666-2.
  • Hamza Al Maharmeh, Nabil J. Sarhan, Mohammed Ismail, and Mohammad Alhawari. A 116 TOPS/W Spatially Unrolled Time-Domain Accelerator Utilizing Laddered-Inverter DTC for Energy-Efficient Edge Computing in 65nm”. IEEE Open Journal of Circuits and Systems, 2023, DOI: 10.1109/OJCAS.2023.3332853.
  • Mohammad Alsmirat, Yousef Sharrab, Monther Tarawneh, Sana’a Al-shboul, and Nabil J. Sarhan. Video Coding Deep Learning-based Modeling for Long Live Video Streaming over Next Network Generation. Cluster Computing, 26:1159-1167, 2023, https://doi.org/10.1007/s10586-022-03948-x.
  • Melvin Edwards, Nabil J. Sarhan, and Mohammad Alhawari. Analysis of Dual-Row and Dual-Array Crossbars in Mixed Signal Deep Neural Networks. In Proceedings of the 2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS), August 2023.
  • Shiva Maleki Varnosfaderani, Ian McNulty, Nabil J. Sarhan, Mohammad Alhawari. Artifacts Removal Techniques for the European iEEG Dataset. In Proceedings of the 2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS), August 2023.
  • Melvin D. Edwards, Nabil J. Sarhan, and Mohammad Alhawari. A CMOS Analog Neuron Circuit with A Multi-Level Memory. In Proceedings of the 2023 International Conference on Microelectronics (ICM) (2023): 11-15.
  • Shiva Maleki Varnosfaderani, Rihat Rahman, Nabil J. Sarhan, and Mohammad Alhawari. A Self-Aware Power Management Model for Epileptic Seizure Systems Based on Patient-Specific Daily Seizure Pattern. In Proceedings of the 2023 International Conference on Microelectronics (ICM) (2023): 91-95.
  • Sina G. Davani and Nabil J. Sarhan. Experimental Analysis of Optimal Bandwidth Allocation in Computer Vision Systems. IEEE Transactions on Circuits and Systems for Video Technology, Volume: 31, Issue: 10, October 2021. DOI: 10.1109/TCSVT.2020.3044015.
  • Sina G. Davani, Musab Al-Hadrusi, and Nabil J. Sarhan. An Autonomous System for Efficient Control of PTZ Cameras. ACM Transactions on Autonomous and Adaptive Systems, Volume 16, Issue 2, June 2021, Article No.: 6, pp 1-22. DOI: https://doi.org/10.1145/3507658.
  • Yousef O. Sharrab, Izzat Alsmadi, and Nabil J. Sarhan. Towards the Availability of Video Communication in Artificial Intelligence-based Computer Vision Systems Utilizing a Multi-objective Function. Cluster Computing, Springer, August 2021. DOI: https://doi.org/10.1007/s10586-021-03391-4.
  • Ian McNulty, Shiva Maleki Varnosfaderani, Omar Makke, Nabil J. Sarhan, Eishi Asano, Aimee Luat, and Mohammad Alhawari. Analysis of Artifacts Removal Techniques in EEG Signals for Energy-Constrained Devices. In Proceedings of the IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), August 2021. DOI: 10.1109/MWSCAS47672.2021.9531909.
  • Shiva M. Varnosfaderani, Rihat Rahman, Nabil J. Sarhan, Levin Kuhlmann, Eishi Asano, and Mohammad Alhawari. A Two-Layer LSTM Deep Learning Model for Epileptic Seizure Prediction. In Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits & Systems (AICAS 2021), June 2021. DOI: 10.1109/AICAS51828.2021.9458539.
  • Hamza Al Maharmeh, Nabil J. Sarhan, Chung-Chih Hung, Mohammed Ismail, and Mohammad Alhawari. A Comparative Analysis of Time-Domain and Digital-Domain Hardware Accelerators for Neural Networks. In Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), May 2021. DOI: 10.1109/ISCAS51556.2021.9401758.
  • Rihat Rahman, Shiva Varnosfaderani, Omar Makke, Nabil Sarhan, Eishi Asano, Aimee Luat, and Mohammad Alhawari. Comprehensive Analysis of EEG Datasets for Epileptic Seizure Prediction. In Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), May 2021. DOI: 10.1109/ISCAS51556.2021.9401766.
  •  Mohammad A. Alsmirat and Nabil J. Sarhan. Intelligent Optimization for Automated Video Surveillance at the Edge: A Cross-Layer Approach. Simulation Modelling Practice and Theory, Elsevier, Volume 105, 102171, December 2020. DOI: https://doi.org/10.1016/j.simpat.2020.102171.
  • Hayder Hamandi and Nabil J. Sarhan. QRMODA and BRMODA: Novel Analytical Models of Face Recognition Accuracy in Terms of Video Capturing and Encoding Parameters. Proceedings of the IEEE International Conference on Multimedia and Expo (ICME 2020), London, United Kingdom, July 2020, pp. 1-6.
  • Hamza Al Maharmeh, Mohammad Alhawari. Nabil J. Sarhan, and Mohammed Ismail. Compute-in-Time for Deep Neural Network Accelerators: Challenges and Prospects. Proceedings of the IEEE 63rd International Midwest Symposium on Circuits & Systems (MWSCAS 2020), August 9-12, 2020.
  • Melvin D. Edwards II, Hamza Al Maharmeh, and Mohammad Alhawari, Nabil J. Sarhan, and Mohammed Ismail. A Low-Power, Digitally-Controlled, Multi-Stable, CMOS Analog Memory Circuit. Proceedings of the IEEE 63rd International Midwest Symposium on Circuits & Systems (MWSCAS 2020), August 9-12, 2020.
  • Mohammad A. Alsmirat and Nabil J. Sarhan. Cross-Layer Optimization for Many-toOne Wireless Video Streaming Systems. Multimedia Tools and Applications, Volume 77, Number 4, page 1 - 23, DOI 10.1007/s11042-018-5698-x, Springer US, February 2018.
  • Sina G. Davani and Nabil J. Sarhan. Experimental Analysis of Bandwidth Allocation in Automated Video Surveillance Systems. In Proceedings of the 2017 ACM Conference on Multimedia (MM '17), pages 1457-1464, Mountain View, California, USA, October 2017. Best venue in the area.
  • Yousef O. Sharrab and Nabil J. Sarhan. Modeling and Analysis of Power Consumption in Live Video Streaming Systems. ACM Transactions on Multimedia Computing Communications and Applications (ACM TOMM), Volume 13, Issue 4, pages 54:1-
    54:25, September 2017.
  • Musab Al-Hadrusi, Nabil J. Sarhan, and Sina G. Davani. A Clustering Approach for Controlling PTZ Cameras in Automated Video Surveillance. In Proceedings of the IEEE International Symposium on Multimedia (ISM 2016), pages 333-336, San Jose, CA,
    USA, December 2016.
  • Mohammad Alsmirat and Nabil J. Sarhan. Cross-Layer Optimization for Automated Video Surveillance. In Proceedings of the IEEE International Symposium on Multimedia (ISM 2016), pages 243-246, San Jose, CA, USA, December 2016.
  • Kamal Nayfeh and Nabil J. Sarhan. A Scalable Solution for Interactive Near Video-onDemand Systems. IEEE Transactions on Circuits and Systems for Video Technology, Volume 26, Number 10, pages 1907 - 1916, October 2016.
    Kamal Nayfeh and Nabil J. Sarhan. Client-Side Cache Management for Scalable and Interactive Video Streaming. IEEE International Conference on Multimedia and Expo (ICME 2016). pages 1-6, Seattle, WA, 2016, Acceptance rate: 30%. Acceptance rate <
    30%.
  • Musab Al-Hadrusi and Nabil J. Sarhan. A Scalable Delivery Solution and a Pricing Model for Commercial Video-on-Demand Systems with Video Advertisements. Multimedia Tools and Applications, Volume 73, Issue 3, pp 1417-1443, Springer US,December 2014.
  • Kamal Nayfeh and Nabil J. Sarhan. Design and Analysis of Scalable and Interactive Near Video-on-Demand Systems. In Proceedings of the IEEE International Conference on Multimedia and Expo, San Jose, California, July 2013. Best Paper Candidate. Acceptance rate for regular papers (with oral presentations): 12.7% (79 accepted out 622 papers).
  • Yousef Sharrab and Nabil J. Sarhan. Aggregate Power Consumption Modeling of Live Video Streaming Systems. In Proceedings of the ACM Multimedia Systems (MMSys 2013), Oslo, Norway, February 27 - March 1, 2013. Acceptance rate: 23.8%.
  • Yousef Sharrab and Nabil J. Sarhan. Detailed Comparative Analysis of VP8 and H.264. In Proceedings of the IEEE International Symposium on Multimedia (ISM 2012), pages 133 - 140, Irvine, California, December 2012. Acceptance rate: 24.8%.
  • Musab Al-Hadrusi and Nabil J. Sarhan. Efficient Control of PTZ Cameras in Automated Video Surveillance Systems. In Proceedings of the IEEE International Symposium on Multimedia (ISM 2012), pages 356 - 359, Irvine, California, December 2012.
  • Mohammad Alsmirat and Nabil J. Sarhan. Cross-Layer Optimization and Effective Airtime Estimation for Wireless Video Streaming. In Proceedings of the International Conference on Computer Communications and Networks (ICCCN 2012), pages 1 - 7, Munich, Germany, July 2012. Acceptance rate: 30%.
  • Yousef Sharrab and Nabil J. Sarhan. Accuracy and Power Consumption Tradeoffs in Video Rate Adaptation for Computer Vision Applications. In Proceedings of the 2012 IEEE International Conference on Multimedia & Expo (ICME 2012), pages 410 - 415,
    Melbourne, Australia, July 2012. Acceptance rate: 30%.
  • Musab Al-Hadrusi and Nabil J. Sarhan. Client-Driven Price Selection for Scalable Video Streaming with Advertisements. In Proceedings of the International MultiMedia Modeling Conference (MMM 2012), pages 429 - 439, Klagenfurt, Austria, January 2012. Acceptance rate: 34.9%.
  • Nabil J. Sarhan. Vehicular Multimedia and Communication Systems: Recent and Future Trends. In Proceedings of the International Conference on Advanced Research and Applications in Mechanical Engineering (ICARAME 2011), Louaize, Lebanon, June
    2011.
  • Nabil J. Sarhan and Musab Al-Hadrusi. Waiting-Time Prediction and QoS-Based Pricing for Video Streaming with Advertisements. In Proceedings of the IEEE International Symposium on Multimedia (ISM 2010), pages 17 - 24, Taichung, Taiwan, December 2010. Acceptance rate: 31%.
  • Bashar Qudah and Nabil J. Sarhan. Efficient Delivery of On-Demand Video Streams to Heterogeneous Receivers. ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMCCAP), Volume 6, Issue 3, August 2010.
  • Nabil J. Sarhan, Mohammad A. Alsmirat, and Musab Al-Hadrusi. Waiting-Time Prediction in Scalable On-Demand Video Streaming. ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMCCAP), (ACM TOMCCAP), Volume 6, Issue 2, March 2010.
  • Mohammad Alsmirat and Nabil J. Sarhan. Detailed Performance and Waiting-Time Predictability Analysis of Scheduling Options in On-Demand Video Streaming. EURASIP Journal on Image and Video Processing, Volume 2010, 2010.
  • Nabil. J. Sarhan. Is 3D Here to Stay? Analysis of 3D Video Projection Technologies. ESD Technology Century, Vol. 15 No. 3, Fall 2010. (This article was the only article featured on the cover page.)
  • Bashar Qudah and Nabil J. Sarhan. Workload-Aware Resource Sharing and Cache Management for Scalable Video Streaming. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 19, No. 3, March 2009.
  • Nabil. J. Sarhan. Do You ... YouTube? YouTube and the Technology Behind It. ESD Technology Century, Vol. 14, No. 2, April-May 2009. (Featured as the main article on the cover page.)
  • Jeffrey R. Ostrowski and Nabil J. Sarhan. Characterization of Social Video. In Proceedings of SPIE Multimedia Computing and Networking (MMCN), San Jose, California, USA, January 2009. Acceptance rate: 35%.
  • Mohammad Alsmirat and Nabil J. Sarhan. Performance and Waiting-Time Predictability Analysis of Design Options in Cost-Based Scheduling for Scalable Media Streaming. In Proceedings of the International Multimedia Modeling Conference (MMM 2009), pages 150-162, Antipolis, France, January 2009. Acceptance rate: 30.7%.
  • Musab Al-Hadrusi and Nabil J. Sarhan. A Scalable Delivery Framework and a Pricing Model for Streaming Media with Advertisements. In Proceedings of SPIE/ACM Multimedia Computing and Networking (MMCN 2008), San Jose, California, USA, January/February 2008. Acceptance Rate: 26%.
  • Mohammad Alsmirat and Nabil J. Sarhan. Predictive Cost-Based Scheduling for Scalable Video Streaming. In Proceedings of the IEEE International Conference on Multimedia & Expo (ICME 2008), pages 857 - 860, Hannover, Germany, June 2008. Acceptance rate for oral presentations: 20%.
  • Mohammad Alsmirat, Musab Al-Hadrusi, and Nabil J. Sarhan. Analysis of WaitingTime Predictability in Scalable Media Streaming. In Proceedings of ACM Multimedia, pages 727 - 736, Augsburg, Germany, September 2007. Acceptance Rate: 19%. Best Venue in the area.
  • Musab Al-Hadrusi and Nabil J. Sarhan. Scalable Delivery and Pricing of Streaming Media with Advertisements. Short Paper. In Proceedings of ACM Multimedia, pages 791- 794, Augsburg, Germany, September 2007. Acceptance Rate: 27%. Best Venue in the
    area.
  • Nabil J. Sarhan and Bashar Qudah. Efficient Cost-Based Scheduling for Scalable Media Streaming. In Proceedings of the SPIE/ACM Multimedia Computing and Networking Conference (MMCN 2007), San Jose, California, USA, January/February 2007. Acceptance Rate: 30%.
  • Bashar Qudah and Nabil J. Sarhan. Towards Enhanced Resource Sharing in Video Streaming with Generalized Access Patterns. In Proceedings of the IEEE International Conference on Multimedia & Expo (ICME 2007), pages 1219 - 1222, Beijing, China, July
    2007. Acceptance Rate: 45%.
  • Bashar Qudah and Nabil J. Sarhan. Towards Scalable Delivery of Video Streams to Heterogeneous Receivers. In Proceedings of ACM Multimedia, pages 347 - 356, Santa Barbra, California, USA, October 2006. Acceptance Rate: 16%. Best Venue in the area.
  • Bashar Qudah and Nabil J. Sarhan. Analysis of Resource Sharing and Cache Management Techniques in Scalable Video-on-Demand. In Proceedings of the 14th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2006), pages 327 – 334, Monterey, California, USA, September 2006. Acceptance Rate: 36%.
  • Nabil J. Sarhan and Chita R. Das. Caching and Scheduling in NAD-Based Multimedia Servers. IEEE Transactions on Parallel and Distributed Systems, Vol. 15, No. 10, pages 921 - 933, October 2004.
  • Nabil J. Sarhan and Chita R. Das. A New Class of Scheduling Policies for Providing Time of Service Guarantees in Video-On-Demand Servers. In Proceedings of the 7thIFIP/IEEE International Conference on Management of Multimedia Networks and Services, (MMNS 2004), pages 127 - 139, San Diego, California, USA, October 2004. Acceptance Rate: 31.0%.
  • Nabil J. Sarhan. On the Design of High Performance and Scalable Multimedia Servers. Ph.D. Dissertation, Computer Science and Engineering, Pennsylvania State University, August 2003.
  • Nabil J. Sarhan and Chita R. Das. An Integrated Resource Sharing Policy for Multimedia Storage Servers Based on Network-Attached Disks. In Proceedings of the 23rd IEEE International Conference on Distributed Computing Systems (ICDCS 2003), pages 136
    - 143, Providence, Rhode Island, USA, May 2003. Acceptance Rate: 17%.
  • Nabil J. Sarhan and Chita R. Das. Providing Time of Service Guarantees in Video-On-Demand Servers. In Poster Proceedings of the Twelfth International World Wide Web Conference (WWW 2003), Budapest, Hungary, May 2003.
  • Nabil J. Sarhan. An Investigation of Scheduling Policies for Multimedia Systems. M.S. Thesis, Computer Science and Engineering, Pennsylvania State University, May 2003.
  • Nabil J. Sarhan and Chita R. Das. A Simulation-Based Analysis of Scheduling Policies for Multimedia Servers. In Proceedings of the 36th Annual Simulation Symposium (ANSS 2003), pages 183 - 190, Orlando, Florida, USA, March 30 - April 2, 2003.
    Acceptance Rate: 39%.
  • Nabil J. Sarhan and Chita R. Das. Adaptive Block Rearrangement Algorithms for VideoOn-Demand Servers. In Proceedings of the 2001 International Conference on Parallel Processing (ICPP 2001), pages 452 - 459, Valencia, Spain, September 2001.

Professional Affiliations

 Senior Member, IEEE

Awards and Honors

  • Received two Certificate of Appreciation Awards from IEEE SEM Section for significant contributions to the Spring Section Conference, May 2, 2019.
  • Served as Co-Chair of the Technical Program Committee of ACM SIGMM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV), 2018.
  • Received Certificate of Appreciation Award from the IEEE SEM Section for the dedicated leadership and significant contribution to IEEE SEM Humanitarian Technology Conference and to the success of IEEE SEM activities, July 9, 2016.
  • Served as General Chair of the Fifth IEEE International Workshop on Quality of Experience for Multimedia Communications (QoEMC 2016), Washington, DC USA, December 8, 2016.
  • Received Certificate of Appreciation Award from the IEEE SEM Section for being an invited speaker and for outstanding contribution to the success of the IEEE SEM Section Spring 2015 Conference, April 28, 2015.
  • Served as the Chair of the Interest Group on Media Streaming, IEEE Multimedia Communication Technical Committee, 2012 - 2014.
  • Served as the Guest Editor for Multimedia, IEEE COMSOC MMTC E-Letter, Special Issue on Cloud Computing, Vol. 8, No. 6, November 2013.
  • Served as a Guest Editor for Multimedia Tools and Applications Journal, Special Issue on Real-time Multimedia Computing, 65(2), July 2013.
  • Served as Chair of the Multimedia Computing and Communications (MCC) Symposium, 2015.
  • Served as Co-Chair of the Technical Program Committee of the International Conference on Computing, Networking and Communication (ICNC 2014), 2014.
  • Served as Chair of the Green Computing, Networking, and Communications Symposium (GCNC), 2014.
  • Served as Co-Director of the IEEE Multimedia Communication Technical Committee Review Board, 2010 - 2012.
  • Received the 2009 President’s Award for Excellence in Teaching, Wayne State University, April 28, 2009.
  • Received The 2008 Outstanding Professional Award from the Institute of Electrical and Electronics Engineers (IEEE) Southeastern Michigan Section for many accomplishments in multimedia computing and networking research and university teaching profession, March 2008 (at Engineering Society of Detroit Banquet) and April 2008 (at IEEE-SEM Spring Conference).
  • Received The 2007 College of Engineering Excellence in Teaching Award, College of Engineering, Wayne State University, April 2008.
  • Received 2007-2008 Wayne State University Research Award/Grant, March 2008.
  • Received a Certificate of Appreciation Award from the Institute of Electrical and Electronics Engineers Southeastern Michigan Section for outstanding contribution as an invited speaker at the Spring 2008 Section Conference, April 2008.
  • Received the Computer Science and Engineering Graduate Student Teaching Award, Computer Science and Engineering Department, Pennsylvania State University, University Park, March 2001.

Other Professional Experience

  • Expert Witness/Consulting Expert on numerous patent infringement cases related to media streaming.
  • Consulting Expert on corporate litigation cases related to networking, anonymous e-mails, and secure multimedia products.
  • External Expert for numerous university and program review and accreditation.
  • External Expert for university program and course reforms.
  • Expert, Specialty Occupation evaluation of numerous H-1B visa cases for Software Engineer, Hadoop Developer, Database Administrator, Project Engineer, and PLM Engineer positions.

Patents

 Nabil. J. Sarhan. US Patent 9,313,463: “Automated Video Surveillance Systems”, April 12, 2016.

Education

Research Interests

Computer systems design, multimedia systems, video streaming, computer networking, data communication, deep learning, hardware accelerators for AI, computer vision systems, automated video surveillance, I/O.

Laboratory Web Site

 Wayne State Computer Systems and Deep Learning Lab

Courses taught by Nabil Sarhan

Winter Term 2025 (future)

Fall Term 2024

Winter Term 2024

Fall Term 2023

Winter Term 2023

Fall Term 2022

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