Subramaniam Ganesan, Ph.D.

Professor Electrical and Computer Engineering Department 440 EC; (248) 370-2206; Fax: (248) 370-4633 [email protected] secs.oakland.edu/~ganesan

• Ph.D., Indian Institute of Science (Bangalore), 1979
• Joined Oakland University in 1986
• Chair of CSE dept., Oakland University, 1991-98.
• Currently: Professor, Department of Electrical and Computer Engineering.
• Director, Real Time and DSP System Laboratory (RTDL)
• Associate Director, Center for Robotics, Unmanned and Intelligent Systems (CRUIS)
• 1984-86 Faculty member, Western Michigan University
• 1983-84 Visiting Professor, Concord University, Montreal, Canada
• 1979-80 DAAD Fellow, Ruhr University, Bochum, West Germany
• 1971-83 Scientist, National Aeronautics Laboratory, India
• Senior Member of IEEE; IEEE Distinguished Speaker (2005-2009), IEEE SEM Computer Chapter Chair
• Research grants from Texas Instruments, Motorola, RPS and Electrocon Companies, Chrysler, International Technology Connection (ITC)
• Guiding two full-time and four part-time Ph.D. students
• Life Time Achievement Award from ISPE; Loyd Withrow Distinguished Speaker Award SAE 2012

Teaching

Graduate level courses

• Real time systems
• FPGA based embedded systems
• Microprocessor based embedded systems
• DSP in embedded systems
• Validation and verification of embedded systems
• Parallel Computer Architecture and multi core embedded system programming
• Developing embedded senor systems for real time tracking and Internet of things

Research

• Divisible Load Scheduling in multi-core and multi-processor systems
• Condition Based Maintenance
• Real Time DSP/Multiprocessor Systems for Specific Applications
• Model Based Systems design
• Multicore engine controller for low cost and high gas mileage
• Application of computer engineering for assistance to the needy, safety and comfort of the world
• Real time tracking with iPad display and sensors
  
  U.S. Provisional Patent: Steve Oberc, Hare Patnaik and Subra Ganesan, Application
  No.: 62/169,194, Filed: June 1, 2015; For: SYSTEMS AND METHODS FOR
  OBTAINING SPORTS-RELATED DATA
  
  U.S. Provisional Patent: Subramaniam Ganesan, Aqeel F. Aqeel and John Chupa
  “Retina analysis” 5/13/2016

Selected Publications

Manimurugan S, Narmatha C, Majed Aborokbah,NaveenC, Subramaniam Ganesan, Rajemdram Thavasimuthu, Karthhikeyan P., Emad “ HLASwin-T-ACoat-Net based underwater object detection”, IEEE Access, Volume 12, 2024 March. Digital ID: 10.1109/Access.2024.3369063.

Ajay Wagmare and Subra Ganesan, “ Performance analysis of automotive RADAR range systems for improved object detection and tracking” International journal of Research in Engineering, science and management, Vol 7, issue 2, February 2024; pp 46-50.

Saeed Alqahtani, Ali Alqatani, M.A. Zohdy, Abdulaziz Alafami, Subra Ganesan, “ Severity grading and early detection pf A;zheimer’s disease through Transfer learning”, Information Journal, MDPI.com 2023, 14, 646. 16 pages.

Saad M. Almutairi , S. Manimurugan , Majed M. Aborokbah , C. Narmatha, Subramaniam Ganesan , and P. Karthikeyan  “ An Efficient USE-Net Deep Learning Model for Cancer Detection” Hindawi/ Wiley International Journal of Intelligent Systems Volume 2023, Article ID 8509433, 14 pages https://doi.org/10.1155/2023/8509433

Saad Almutairi, S. Manimurugan, Naveen Chilamkurti , Majed Mohammed Aborokbah, C. Narmatha, Subramaniam Ganesan, Riyadh A. Alzaheb,and Hani Almoamari, “ A Context-Aware MRIPPER Algorithm for Heart Disease Prediction”, Journal of Healthcare Engineering, Volume 2022, 11 pages, (Hindawi)(ISI-Q2) https://doi.org/10.1155/2022/7853604

Saad Almutairi, S. Manimurugan, , Naveen Chilamkurti, Byung-Gyu Kim, Majed Mohammed Aborokbah, Narmatha C, Subramaniam Ganesan, Riyadh A AlzahebHani, Hani Almoamari, "Comprehensive Analysis on Intelligent Deep Learning-Based Approaches for Heart Beat Detection", JTAIT, Journal of theoretical and applied information technology (E-ISSN 1817-3195 / ISSN 1992-8645), May, 18 2022 Scopus. Vol.100, No.14, 2022.

Subramaniam Ganesan¹, Eali Stephen Neal Joshua, K.V. Satyanarayana, V. Nagu “ Lung Cancer classification using improvised CNN”, Springer.com/series/15362, Proceedings of International conference on Business intelligence and information technology, BIIT 2022; December 17-18, Harbin, China,

Lakshmi Nambiar, Vinod Kumar Gopal, Ashwin D, Subramaniam Ganesan “Optimization of Solar Energy Utilization, System Reliability and Utility Savings using a New Framework” International Journal of Recent Technology and Engineering (IJRTE) ( http://www.ijrte.org/) ISSN: 2277-3878, Volume-8 Issue-6, March 2020 

Manimurugan Shanmuganathan ; Saad Almutairi ; Majed Mohammed Aborokbah ; Subramaniam Ganesan ; Varatharajan R, “Review of advanced computational approaches on multiple sclerosis segmentation and classification”, IET Signal Processing, https://digital-library.theiet.org/ search?value1=&option1=all&value2 =manimurugan+ shanmuganathan&option2=author, 2020

Priyank Srivastava, Dinesh Khanduja, Subramaniam Ganesan “Fuzzy methodology application for risk analysis of mechanical system in process industry” Int J Syst Assur Eng Manag https://doi.org/10.1007/s13198-019-00857-y; Springer, 20 September 2019, 16 pages.

U Shukla, A Mishra, G Jasmine, V Vaidehi, Subramaniam Ganesan, “A deep neural network for roadside analysis and lane detection” Proceedings of Computer Science, Elsevier, Science Direct, 165 (2019) pp 252-258. www.science direct.com – open access article.

Kahlon, M., and Ganesan, S. “Real Time Driver Drowsiness Detection.” IEEE EIT Conference, 2018.

Doan, T.P., and Ganesan, S. “CAN Crypto Chipo to Secure Data Transmitted Through CAN Bus

Using AES 128 and SHA-1 Algorithms with\ Asymmetric Key.” SAE World Congress, Paper number: 2017-01-1612, 2017.