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Ramaiah University of Applied Sciences

N D Gangadhar

Dr. Nandyala Dhani Gangadhar

Associate Head & Associate Professor

Qualifications

  • Ph.D.

    M. S. Ramaiah University of Applied Sciences,Bengaluru

  • M. Sc. (Engg.) Research Degree

    Indian Institute of Science, Bengaluru

  • B. E. (ECE)

    College of Engineering, Andhra University

Experience

Total Experience: 14.98 Years

  1. 2016 — present: Associate Professor and Associate Head, Dept. of Computer Science and Engineering, M. S. Ramaiah University of Applied Sciences, Bengaluru.
  2. 2014 — 2016: Head (I/C)and Associate Professor, Dept. of Computer Science and Engineering, M. S. Ramaiah University of Applied Sciences, Bengaluru.
  3. 2011 — 2014: Founding-Head and Professor, Dept. of Computer Engineering, M. S. Ramaiah School of Advanced Studies, Bengaluru.
  4. 2008 — 2011: Professor, Dept. of Electronics and Communication Engineering, M. S. Ramaiah School of Advanced Studies, Bengaluru.
  5. 1995 — 2008: PhD Scholar (Completed all the requirements, including a Thesis, for a PhD) and Research Associate, Indian Institute of Science, Bengaluru

Training Experience

Data Mining, Programming for ML and Data Mining, Probabilistic Data Fusion, Machine Learning, Network Simulation, RTOS

Research Interest:

  1. Modelling and Analysis of Connected Systems; with special interest in Communication Networks and Human Brain Networks
  2. Multidimensional and Graph Data Modelling and Mining
  3. ML for Medical Diagnostics and Public Healthcare Systems
  4. Multi-Sensor Data Fusion

Research Expertise:

  1. Queueing Theory, Communication Networks, Machine Learning, Data Fusion, Multidimensional Data Modelling, Graph Data Mining, Graph Signal Processing, Stochastic Processes, Performance Analysis, Human Connectomics, Anomaly Detection

Keywords

  • Machine Learning
  • Artificial Intelligence
  • Data Fusion
  • Multidimensional Data
  • Graph Data Mining
  • Graph Signal Processing
  • Stochastic Processes
  • Performance Analysis
  • Data Mining
  • Queueing Theory
  • Multi Sensor Data Fusion
  • Optimization

Ph.D. Dissertation:

Analytical and Computational Studies on Finite Buffered Multiclass Queueing Systems

International Conference Papers:

  1. Gangadhar, N. D., and Kadambi, G. R. (2022c) ​“Complete Solution of a Markov Modulated Tandem Fluid Queueing Model of a Voice Network”, Proc. 2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT 2022), pp. 1 – 6.
  2. Gangadhar, N. D., Krithika, S., and Kadambi, G. R. (2021) ​‘Numerical Solution of Fluid Queueing Models for Communication Networks’, Proc. Of International Conference on Recent Innovations in Engineering and Technology (ICRIET 2020), IOP Conference Series: Materials Science and Engineering, Vol. 1070, 012063.
  3. Madhushree, B. A., Gangadhar, N. D., and Prafulla Kumari, K. S. (2020) ​‘Modelling and Mining Brain Network Data for Diagnosis of Neurodegenerative Diseases’, In Proceedings of IEEE International Conference on Electronics, Computing and Communication Technologies, (IEEE CONECCT 2020), July 2 – 4, 2020, pp. 1331 – 1335.
  4. Mittal, C., Mittal, R., Sharma, H., and Gangadhar, N. D. (2019) ​‘OpenMDR: A Service Oriented Metadata Registry for Knowledge Reposities Aiding Knowledge Discovery’, 2019 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM 2019).
  5. Supriya, M. S., and Gangadhar, N. D. (2018) ​‘Automotive Crash Detection using Multi Sensor Data Fusion’, in Proceedings of the First RUAS International Conference on Photonics, Signal Processing and Communication Technologies (ICPSPCT 2018).
  6. Sandeep, P. R., Yerragudi, V. S., and Gangadhar, N. D. (2017) ​‘CANTAV: A Cloud Centric Framework for Navigation and Control of Autonomous Road Vehicles’, Proceedings of the 2017 IEEE International Conference on Cloud Computing for Emerging Markets (CCEM 2017),pp. 99 – 106.
  7. Parthana, T. S., and Gangadhar, N. D. (2017) ​‘User Behaviour Anomaly Detection in Multidimensional Data’, In Proceedings of the 2017 IEEE International Conference on Cloud Computing for Emerging Markets (CCEM 2017),pp. 3 – 10.
  8. Patil, A. D., and Gangadhar, N. D. (2016) ​‘OLaaS: OLAP as a Service’, in Proceedings of the 2016 IEEE International Conference on Cloud Computing for Emerging Markets (CCEM 2016), pp. 119 – 124.
  9. Binu, V., and Gangadhar, N. D. (2014) ​‘A Cloud Computing Service Level Agreement Framework with Negotiation and Secure Monitoring’, in Proceedings of the 2014 IEEE International Conference on Cloud Computing for Emerging Markets (CCEM 2014), pp. 57 – 64.
  10. Sharma, V., and Gangadhar, N. D. (1999) ​‘Discrete Queues with Priorities,’ in Proceedings of Seventh IFIP Workshop on Performance Modelling and Evaluation of ATM & IP Networks, Antwerp.
  11. Sharma, V., and Gangadhar, N. D. (1999) ​‘Finite Discrete Queue with Time and Space Priorities,’ in Proceedings of 3rdIFIP Workshop on Traffic Management and Design of ATM Networks, London.
  12. Sharma,V., and Gangadhar, N. D. (1998)Computational Analysis of a Discrete Time Tandem Network of Queues with Intermediate Arrivals and Departures,in Proceeding of 2ndCanadian Conference on Broadband Research(CCBR),Ottawa.
  13. Gangadhar, N. D., Krithika, S., and Kadambi, G. R. (2021) ​‘Numerical Solution of Fluid Queueing Models for Communication Networks’, Proc. of International Conference on Recent Innovations in Engineering and Technology (ICRIET 2020), IOP Conference Series: Materials Science and Engineering, Vol. 1070, 012063.
  14. Madhushree, B. A., Gangadhar, N. D., and Prafulla Kumari, K. S. (2020) ​‘Modelling and Mining Brain Network Data for Diagnosis of Neurodegenerative Diseases’, In Proceedings of IEEE International Conference on Electronics, Computing and Communication Technologies, (IEEECONECCT 2020), July 2 – 4, 2020, pp. 1331 – 1335.
  15. Mittal, C., Mittal, R., Sharma, H., and Gangadhar, N. D. (2019) ​‘OpenMDR: A Service Oriented Metadata Registry for Knowledge Reposities Aiding Knowledge Discovery’, 2019 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM 2019).

National Journal Papers:

  1. Supriya, M. S., Gangadhar, N. D., and Manjunath, A. G. (2016) ​‘Reliable Automotive Crash Detection using Multi Sensor Decision Fusion’, In SasTech Journal, 16 (2), 46 – 49.
  2. Dessai, S., Indu, K., Yerragudi, V. S., Murthy, K. R. N., Patel M., Dharishini, P. P. P., Kumar, S., and Gangadhar, N. D. (2016), ​‘Analysis of SDLC Models for Embedded Systems’, SasTech Journal, 15 (1), 17 – 20.
  3. Rao, M. P. B.,Dessai, S., and Gangadhar, N. D. (2014) ​‘Design and Implementation an Efficient Wireless Sensor Network based Traffic Monitoring System’, SasTech Journal, 13 (1), 8 – 15.
  4. Laeeq, S. M., Gangadhar, N. D., and Chacko, B. G. (2012) ​‘Design and Development of anH.264 Video Encoder for CPU/GPU using OpenCL’, SasTech Journal, 11 (2), 30 – 37.
  5. Srinivasan, S., Gangadhar, N. D., and Hariharan, R. (2012) ​‘Design and Development of Probabilistic Data Association Filters for Complete Object Refinement’, SasTech Journal, 11 (1), 17 – 24.
  6. Jeevith, S., Gangadhar, N. D., and Kumar, S. S. (2011) ​‘Design and Development of Optic Flow based Obstacle Avoidance Algorithm using CUDA’, SasTech Journal, 10 (2), 13 – 20.
  7. Yerragudi, V. S., Mazumdar, D. and Gangadhar, N.D. (2011) ​‘Design andDevelopment of a Secure File System in Linux using FUSE Library’, SasTech Journal, 10 (1), 8 – 15.
  8. Mukherjee, S., Gangadhar, N. D., and Kadambi, G. R. (2010) ​‘An Embedded System Based Control Strategy for NOx Reduction in Diesel CNG Engines’, SasTech Journal, 9 (1), 57 – 64.
  9. Mani, J. R., Gangadhar, N. D., and Reddy, V. R. (2010) ​‘A Real-Time Video Processing Based Driver Assist System’, SasTech Journal, 9 (1), 9 – 16

International Journal Papers:

  1. Gangadhar, N. D., and Kadambi, G. R. (2022) ​“Complete Computational Solution of Multi-Class Fluid Queueing Communication Network Models with Piecewise Constant Rate Inputs”, International Journal on Communications Antenna and Propagation, Vol. 12, No. 3, pp. 168 – 182.
  2. Gangadhar, N. D., and Kadambi, G. R. (2022) ​“Delay Distributions in Discrete Time Multiclass Tandem Communication Network Models”, International Journal of Electrical and Computer Engineering Systems, Vol. 13, No. 6, pp. 417 – 425. 
  3. Sharma, V., and Gangadhar, N. D. (1997), ​‘Asymptotics for transient and stationary probabilities for finite and infinite buffer discrete time queues’, Queueing Systems,26 (1), 1 – 22.
  4. Sharma, V., and Gangadhar, N. D. (1997), ​‘Some Algorithms for Discrete Time Queues With Finite Capacity’, Queueing Systems,25 (1−4), 281 – 305.

Patents: Filed: 10, Granted: 06, Published: 04

The patents are in the domains of communication technology, protocols, internet of things, sensor data fusion, navigation, and computational geometry.

Granted:

  • Mumshad Mannambeth, Rinki Sharma, N. D. Gangadhar, Method, System and Apparatus for an Efficient Client-side Load Balancing in a Cloud Computing Environment, Indian Patent Office, Patent Number 524723, Granted March 13, 2024.
  • Muppala Kalyan, Venkatanatha Sarma Yerragudi, N. D. Gangadhar, Govind R. Kadambi, Method, System and Apparatus for development of MIMO communication node using GNU Radio, Indian Patent Office, Patent No. 509589, Granted February 12, 2024.
  • R. Chetan, Sanket Dessai, N. D. Gangadhar, Method, System and Apparatus for Multi-Modulated MIMO, Patent Number 468422, Indian Patent Office, Granted 13 October 2023.
  • N. Sampath Kumar, Sanket Dessai, N. D. Gangadhar, Method, System and Apparatus for MIMO-DBS Transceiver, Patent Number 468451, Indian Patent Office, Granted 13 October 2023.
  • N. D. Gangadhar, M. S. Supriya, Method, System and Apparatus for Multi-Sensor Data Fusion based Efficient Crash Detection in Automobiles, Indian Patent Office, Patent Number 418499, Granted January 18, 2023.
  • N. D. Gangadhar, P. M. Shikha, DeviceCache: Software Cache for Hardware Devices Enabling Sensor as A Service for IoT Applications Indian Patent Office, Patent Number 408515, Granted October 06, 2022.

Published:

  • N. D. Gangadhar, V. S. Yerragudi, Sindhura K. H., Method, System and Apparatus for Indoor Navigation, Indian Patent Office, Application No. 7027/CHE/2015, Filed December 31, 2015, Published July 07, 2017.
  • M. Chethan Kumar, S. T. Manju, Sanket Dessai and N. D. Gangadhar, MIMO-OFDM Communication System, Indian Patent Office, Application No. 2949/CHE/2014, Filed June 17, 2014, Published January 29, 2016.
  • A. S. Rathan Kumar, N. D. Gangadhar and K. R. Narasimha Murthy, Method, System and Apparatus for development of MIMO communication node using GNU Radio, Indian Patent Office, Application No. 1167/CHE/2014, Filed March 7, 2014, Published July 1, 2016.
  • Archana P. Patil, N. D. Gangadhar, Methods for Estimating and Controlling the Volume of a Solid, Indian Patent Office, Indian Patent Office, Application No. 4147/CHE/2012, Filed October 4, 2012, Published April 11, 2014.

Book Chapter:

  1. Supriya, M. S., and Gangadhar, N. D. (2020) ​‘Automotive Crash Detection using Multi Sensor Data Fusion’, In Kadambi, G. R., Kumar, P. B., and Palade, V. (Eds) Emerging Trends in Photonics, Signal Processing and Communication Engineering, Vol. 649, Lecture Notes in Electrical Engineering, Springer.

  1. Elected to the Senior Member Grade by the IEEE Council in 2021 ​“for significant contributions to the profession”
  2. Faculty Achiever Award for Innovation, Ramaiah University of Applied Sciences, 2023
  3. Exemplary Teacher Award, Ramaiah University of Applied Sciences, 2023
  4. Exemplary Faculty Award for Research, M S Ramaiah University of Applied Sciences, 2020
  5. Member, Core Committee of Ramaiah Data Sciences Programme, Ramaiah Group of Institutions/​GEF, 2019 – 20.
  6. Inaugurated the Department of Computer Science and Engineering at M S Ramaiah University of Applied Sciences
  7. Chief Architect of 5 Post Graduate and 5 Undergraduate Programmes: M. Tech. (Artificial Intelligence and Machine Learning) 2023, M. Tech. (Data Science and Engineering) 2023, M. Tech. (Cyber Security and Information Assurance) 2015, M. Tech. (Computer Science and Networking) 2010, 2012 and 2014, M. Tech. (Automotive Electronics) 2014; B. Tech. (Artificial Intelligence and Machine Learning), 2023, B. Tech. (Mathematics and Computing) 2020 and 2023, B. Tech. (Computer Science and Engineering) 2014, 2018 and 2023, B. Tech. (Information Science and Engineering), 2023 and B. Sc. (CS) (Hons) 2018.
  8. Developed 13 new Post Graduate and 17 new Under Graduate Courses
  9. Guided/Co-guided 67 Masters Research Theses/​Dissertations tacking problems machine learning, data science, communication, sensing and embedded systems
  10. Member, Board of Studies, Dept. of CSE, M. S. Ramaiah University of Applied Sciences, Bengaluru, 2014-present.
  11. Programme Committee (PC) Member and Reviewer, International Conference on Service Oriented Computing (ICSOC), 2015, 2016, 2017, 2018, 2019, 2020, 2021 and 2022.
  12. Technical Programme Committee (TPC) Member and Reviewer, International Conference on Photonics, Signal Processing and Communication Technologies, (ICPSPC 2018), 2018.
  13. Academic Expert, Project Design Review Panel, Centre for Artificial Intelligence and Robotics (CAIR), Defense Research and Development Organization (DRDO), India, 2018-present.
  14. Panel member, Indo-French Workshop for Academic-Industry Partnership in Information Technology and Artificial Intelligence, 27 Sept., 2018.
  15. Member of Future Tour Round Table Discussion on future Indo-French partnerships in Embedded Systems in Aerospace, 29th and 30th Jan., 2018.
  16. Member, Consultative Meeting on DPR for Mission on Interdisciplinary Cyber-Physical Systems (ICPS), Dept. of Science and Technology, Govt. of India, Held at IISc, Bangalore, 22 – 23 Jun 2017.
  17. Research Scholarships from MHRD, Government of India, for pursuing M. Sc. (Engg.) and Ph. D. at Indian Institute of Science, Bangalore.
  18. Telugu Vignana Paritoshakam (TVP) Scholarship from Government of Andhra Pradesh, twice: 2 Years for pursuing Intermediate (Pre-University) and 3 Years for pursuing Bachelor’s Degree
  19. Several prizes for Quizzing during School, College and University studies

  • Institute of Electrical and Electronics Engineers (IEEE)

    Senior Member

  • Association for Computing Machinery (ACM)

    Professional Member,

  • Society for Industrial and Applied Mathematics (SIAM)

    Member

  • Advanced Computing and Communication Society(ACCS)

    Life Member