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Prof. P Muralidhar

Associate Professor

Department of Electronics and Communication Engineering

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Information

Room No: 203 +91-870-2462442 pmurali@nitw.ac.in Bio Sketch

    Key Notes

    • Journal(s): 20
    • Conference(s): 22
    • Book Chapter(s): 2
    • PhD: Current - 9  Awarded - 5

    44

    PUBLICATIONS

    14

    DOCTORAL STUDENTS

    5

    PROJECTS

    1

    PATENT

    Research Areas

    Embedded Systems Design ,Digital System Design
    FPGA based designs ,VLSI Architectures
    ML and DL Hardware Accelerator Design
    Video & Image Processing Algorithms and Architectures
    EDUCATION QUALIFICATION
    Degree Institute Year
    Doctor of Philosophy National Institute of Technology Warangal 2018
    Master of Technology National Institute of Technology Warangal 2003
    Bachelor of Technology Regional Engineering College Warangal 1993
    COURSES HANDLED
    Course L-T-P Credit Degree Level
    Embedded Hardware Platforms and Programming(EC16001) 3-0-0 3 UG, PG
    Advanced Microcontrollers(EC304) 3-0-0 3 UG
    Hardware-Software Co-Design(EC468) 3-0-0 3 UG
    Hardware Accelerators Design for Machine Learning models(EC16004) 3-0-0 3 UG, PG
    Embedded and Real Time Operating Systems(EC354) 3-0-0 3 UG
    VLSI Architectures(EC5216) 3-0-0 3 UG, PG
    Hardware/Software Co-design(EC5153) 3-0-0 3 UG, PG
    Embedded System Design(EC5103) 3-0-0 3 UG, PG
    RESEARCH IDs
    Google Scholar
    Google Scholar ID
    PUBLICATIONS
    Journal(s)
    Elevating efficiency: Field-Programmable Gate Array Powered Acceleration of MobileNet V1 with patchwise innovation, double buffering, and Singular Value Decomposition Optimization, By Rama Muni Reddy Yanamala a, Pullakandam Muralidhar b, Rayappa David Amar Raj , Elsevier, Engineering Applications of Artificial Intelligence, vol.Volume 163, pp.Part 3, 2025
    Analysis of optical, structural, thermodynamics and electronic properties of silicon tetrafluoride using first-principles analysis under different hydrostatic pressure and composition, By Sravana, J., P. Muralidhar, and Vundela Padmanabha Red , Iop science, Physica Scripta 100 (6), 065521, vol.Volume 100, Number 6, pp., 2025
    Approximate Successive Cancellation Decoder for Polar Codes, By Nandini, Jali, Muralidhar Pullakandam, and Sreehari Rao Patri. , Defence Science Journal, Defence Science Journal, vol.Vol 75, Issue 2, pp.p206, 2025
    FPGA-accelerated hybrid CNN-LSTM system for efficient EEG-based drowsiness recognition, By Rama Muni Reddy Yanamala, Muralidhar Pullakandam, Springer, The Journal of Supercomputing, vol.81, pp., 2025
    Embedded Hardware-Efficient FPGA Architecture for SVM Learning and Inference, By Shabarinath, B. B., and Muralidhar Pullakandam , IEEE, IEEE Access, vol.Volume: 13, pp., 2025
    A Streaming Dataflow Accelerator for Sparse SVM Kernel Computation in Hyperspectral Image Classification, By Shabarinath, B. B., and Muralidhar Pullakandam , Spolecnost Pro Radioelektronicke Inzenyrstvi , Czech Technical University, Dept Of Electromagnetic Field, Technicka 2, Praha, Czech Republic, Cz-16627, Radioengineering, vol.Volume 34, Issue 3, pp., 2025
    Low Latency Multikernel Polar Codes Using Approximate Processing Element, By Nandini, Jali, Muralidhar Pullakandam, and Sreehari Rao Patri. , Wiley, International Journal of Circuit Theory and Application , vol.Volume53, Issue10, pp.Pages 5893-5902, 2025
    Recursive challenge feed arbiter physical unclonable function (RC-FAPUF) In 180nm process for reliable key generation In IOT security, By Raveendra Podeti , Patri Sreehari Rao, P. Muralidhar , Taylor & Francis, IETE Technical Review, vol.VOL. 41, pp.73-84, 2024
    High-Speed Power Allocation in NOMA System using FPGA based DNN, By Rama Muni Reddy Yanamala, Muralidhar Pullakandam, World Scientific, Journal of Circuits, Systems and Computers, vol.14, pp., 2024
    An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition, By Y. Rama Muni Reddy, P. Muralidhar & M. Srinivas, Springer, Brain Topography , vol.37, pp.1-18, 2024
    Empowering edge devices: FPGA-based 16-bit fixed-point accelerator with SVD for CNN on 32-bit memory-limited systems, By Yanamala, Rama Muni Reddy, Muralidhar Pullakandam, Wiley, International Journal of Circuit Theory and Applications, vol.52, pp.4755 - 4782, 2024
    SoC-based Real-Time SVM Classification with Integrated Training Using HLS and PYNQ, By BB Shabarinath, Muralidhar Pullakandam, Elsevier, Microprocessors and Microsystems, vol.101, pp.104878, 2023
    A high-speed reusable quantized hardware accelerator design for CNN on constrained edge device, By Rama Muni Reddy Yanamala, Muralidhar Pullakandam , Springer, Design Automation for Embedded Systems, vol.27, pp.165–189, 2023
    A Deep Learning Approach in Scalable High Efficiency Video Coding for Fast Coding Unit Size Decision, By Sanagavarapu Karthik Sairam & Pullakandam Muralidhar , Taylor & Francis, IETE Technical Review, vol., pp., 2022
    Low Latency SC Decoder Architecture for Interleaved Polar Codes, By Nandini, Jali, Pullakandam Muralidhar, and Sreehari Rao Patri, Spolecnost Pro Radioelektronicke Inzenyrstvi , Czech Technical University, Dept Of Electromagnetic Field, Technicka 2, Praha, Czech Republic, Cz-16627, Radioengineering, vol.31, pp., 2022
    A motion estimation based algorithm for encoding time reduction in HEVC, By S.Karthik Sai Ram,P.Muralidhar , Defence Scientific Information Documentation Centre, Defence Science Journal, vol.72, pp.56-66, 2022
    Object Tracking Based Surgical Incision Region Encoding using Scalable High Efficiency Video Coding for Surgical Telementoring Applications, By Sanagavarapu, Karthik Sairam and Pullakandam, Muralidhar, Spolecnost Pro Radioelektronicke Inzenyrstvi , Czech Technical University, Dept Of Electromagnetic Field, Technicka 2, Praha, Czech Republic, Cz-16627, Radioengineering, vol.31, pp.2, 2022
    Highly reliable XoR Feed Arbiter Physical Unclonable Function (XFAPUF) in 180 nm process for IoT security, By Raveendra Podeti , Patri Sreehari Rao, P. Muralidhar , Elsevier, Microprocessors and Microsystems, vol.87, pp.104355 , 2021
    High-performance Architecture of Motion Estimation algorithm for video compression, By P.Muralidhar, C.B.RamaRao , World Scientific, Journal of circuits and systems and computers, vol.Vol. 25, No. 8, pp., 2016
    Efficient architecture for global elimination algorithm for H.264 motion estimation, By P Muralidhar, CB Ramarao, Springer, sadhana, vol.41, pp.47-54, 2016
    Conference(s)
    Vision Transformer Implementation on Edge GPU (AGX Orin) for Image Classification By M Pullakandam, S Soni, S Gupta, RMR Yanamala, GK Thota, 2024 First International Conference on Pioneering Developments in Computer Science & Digital Technologies (IC2SDT), 2024
    FPGA(ZCU104) Based Energy Efficient Accelerator for MobileNet-V1 By Ramamuni Reddy Yanamala & Muralidhar Pullakandam, satya Narayana G.N.V. & Jagan Dumpala, 20th IEEE International Colloquium on Signal Processing & Its Applications , 2024
    FPGA Based LSTM Network: A Power and Resource Optimized Solution for Edge Computing By P Muralidhar, YRM Reddy, PSS Varsha, VS Sharanya, CL Prasanthi, 2024 First International Conference on Electronics, Communication , 2024
    Pneumonia Detection Using Transfer Learning And Hardware Implementation in Edge TPU By Sujay Kumar Mandal, Muralidhar Pullakandam, Rama Muni Reddy Yanamala, 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023
    Pipelined CORDIC Architecture Based DDFS Design and Implementation Authors Sandeep Kumar Verma, Muralidhar Pullakandam, Rama Muni Reddy Yanamala By Sandeep Kumar Verma, Muralidhar Pullakandam, Rama Muni Reddy Yanamala, IEEE 20th India Council International Conference (INDICON), 2023
    Weapon Object Detection Using Quantized YOLOv8 By M Pullakandam, K Loya, P Salota, RMR Yanamala, PK Javvaji, 2023 5th International Conference on Energy, Power and Environment (ICEPE 2023), 2023
    An Efficient Configurable Hardware Accelerator Design for CNN on Low Memory 32-Bit Edge Device By Ramamuni Reddy Yanamala and Muralidhar Pullakandam , 2022 IEEE International Symposium on Smart Electronic Systems (iSES), 2022
    The Chaotic-Based Challenge Feed Mechanism for Arbiter Physical Unclonable Functions (APUFs) With Enhanced Reliability in IoT Security By RaveendraPodeti , Patri Sreehari Rao, P. Muralidhar , 2022 IEEE International Symposium on Smart Electronic Systems (iSES), 2022
    Efficient Successive Cancellation Decoder Architecture for Multi-Kernel Polar Codes By Nandini,Jali and Muralidhar Pullakandam , 2022 IEEE International Symposium on Smart Electronic Systems (iSES), 2022
    Epileptic Seizure Inference Using Kernelized SVM With Integrated Training on PYNQ Z2” By B.B.Shabarinath and P.Muralidhar , 2022 IEEE International Symposium on Smart Electronic Systems (iSES), 2022
    An Efficient Configurable Hardware Accelerator Design for CNN on Low Memory 32-Bit Edge Device By Rama Muni Reddy Yanamala, Muralidhar Pullakandam, IEEE International Symposium on Smart Electronic Systems (iSES), 2022
    Deep Neural Network Based Next-Frame Prediction in HEVC Video Sequence By Sanagavarapu Karthik Sairam & Pullakandam Muralidhar , 2022 IEEE International Symposium on Smart Electronic Systems (iSES), 2022
    Custom-IP for Gradient Descent Optimization based on Hardware/Software Co-design Paradigm” By B.B.Shabarinath,P.Muralidhar , 2020 24th International Symposium on VLSI Design and Test (VDAT), 2020
    Fast encoding in HEVC using subsampling with unsymmetrical octagonal search pattern By S.Karthik Sai Ram, P.Muralidhar, 2019 IEEE 16th India Council International Conference (INDICON), 2019
    Hybrid Fast Motion Estimation for HEVC", By S.Karthik SaiRam, P.Muralidhar, 6th International Conference on Signal Processing and Integrated Networks (SPIN), 2019
    Symmetrical-cross Multi-Hexagon based Exhaustive Search for block motion estimation By P Muralidhar, A Sravya, PM Rao, CBR Rao, 2015 3rd International Conference on Signal Processing, Communication and Networking (ICSCN), 2015
    Customizable Dynamic Hand Gesture recognition System for Motor Impaired people using Siamese neural network By P Muralidhar, A Saha, P Sateesh, 2015 3rd International Conference on Signal Processing, Communication and Networking (ICSCN), 2015
    New fast search block matching Motion Estimation algorithm for H.264 /AVC By TM Reddy, P Muralidhar, CBR Rao, 2014 International Conference on Devices, Circuits and Communications (ICDCCom), 2014
    A High Throughput Diamond Search Architecture with Shift Mechanism for 720p Motion Estimation By G Srivastava, P Muralidhar, CBR Rao, 2014 International Conference on Devices, Circuits and Communications (ICDCCom), 2014
    Efficient Architecture for Variable Block Size Motion Estimation in H.264/AVC By P.Muralidhar, C.B.Rama Rao, and CYN Dwith, ACEEE Int. J. on Signal and Image Processing 2014, 2014
    Analysis of block matching motion estimation algorithms By P Muralidhar, CBR Rao, 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT), 2013
    Architecture design of illumination change progressive motion estimation algorithm By M Bamankar, P Muralidhar, CB Ramarao, 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT), 2013
    Book Chapter(s)
    Hardware/Software Co-Design for Traffic Sign Inference on Edge Using PYNQ By B. B. Shabarinath & P. Muralidhar in Advances in Signal Processing and Communication Engineering, Springer, Singapore, Book chapter, 2024
    Fast Encoding Using X-Search Pattern and Coded Block Flag Fast Method By S Karthik Sairam, P Muralidhar in Advances in Communications, Signal Processing, and VLSI, Springer, Book chapter, 2021
    Patent(s)
    SMART EMBEDDED SYSTEM AND METHOD FOR REAL TIME DETECTION AND NOTIFICATION OF ROAD CONDITIONS (202441080940 A)
    PROJECT / CONSULTANCY
    Path Rakshak A system for enhancing public transport safety with Real-time ambiance and Driver Monitoring
    Role: Principal Investigator
    Type: Research
    Sponsor: IIT Mandi iHub & Hci Foundation
    Project Cost (INR): 1862000
    Date of Commencement: 21-11-2024  
    Duration: 24 Months
    Status: Ongoing
    HPICCS (High Precision Interfacing Circuit for Capacitive based Sensors for Defence Applications)
    Role: Co-Principal Investigator
    Type: Research
    Sponsor: Meity, R& Din Electronics group, Chips to Startups, Govt
    Project Cost (INR): 9600000
    Date of Commencement: 03-05-2018   Date of Completion: 02-05-2023
    Duration: 60 Months
    Status: Completed
    Advanced CMOS clock recovery circuits for mobile applications P1222
    Role: Co-Principal Investigator
    Type: SPARC Project
    Sponsor: SPARC, MHRD, Govt of India
    Project Cost (INR): 4497466
    Date of Commencement: 15-03-2019   Date of Completion: 14-03-2021
    Duration: 24 Months
    Status: Completed
    Multi-Media and DSP Instruction Set Implementation for 32-bit Processor
    Role: Co-Principal Investigator
    Type: Research
    Sponsor: DRDO Hyderabad
    Project Cost (INR): 990000
    Date of Commencement: 10-10-2012   Date of Completion: 09-12-2013
    Duration: 14 Months
    Status: Completed
    Implementation of scalable video codec ME algorithm on FPGA
    Role: Principal Investigator
    Type: Research
    Sponsor: Minor Research projects from the MHRD Research Seed money Gr
    Project Cost (INR): 300000
    Date of Commencement: 14-09-2012   Date of Completion: 13-09-2013
    Duration: 12 Months
    Status: Completed
    RESEARCH FELLOWS / PhD STUDENTS
    Current PhD Students
    G.RajaSekhar
    Area of Research: Stocastic computing architectures for signal processing algorithms
    Karthik Venkat sridaran
    Area of Research: VLSI Design Solutions for Articulatory/Verbal disorders
    Ms.Jujavarapu Sravana
    Area of Research: Properties of 2D semiconductors for opto-electronic devices
    Nagaraju chodavarapu
    Area of Research: KF(Kalman filter) for object tracking
    R Pavan Kumar
    Area of Research: Electronic warfare systems
    Satyanarayana Maddisani
    Area of Research: VLSI Architectures for DL models
    Shiva Sri Charan Chedupaka
    Area of Research: VLSI Architectures for ML
    Terkar Anil Narsinhrao
    Area of Research: Hardware implementation of algorithms: Accelerator for machine learning
    T. Gopala Krishna
    Area of Research: Hardware Accelerator for AI models
    Previous PhD Students
    Nandini Jali (2025)
    Area of Research: VLSI architectures for channel encoding algorithms for wireless communication
    B.B.Shabarinadh (2025)
    Area of Research: Hardware accelerators for machine learning classifiers
    Y.Ramamuni Reddy (2025)
    Area of Research: Accelerator architecture design for DNN and machine learning models
    Podeti Raveendra (2024)
    Area of Research: Exploring Design of Physical Unclonable functions (PUFs) for robust hardware-assisted security
    S.Karthik Sai Ram (2022)
    Area of Research: Video compression algorithms using machine learning approach for encoding time reduction in HEVC
    CONFERENCE / WORKSHOP / SYMPOSIUM / SHORT TERM COURSE / FACULTY DEVELOPMENT PROGRAMME
    ADDITIONAL RESPONSIBILITIES
    •  Vice President SAC(Film & Music Society) (July, 2023 - June, 2025)
    •  ERP Coordinator, Department of Electronics and Communication Engineering (April, 2023 - June, 2025)
    •  Department Purchase Co ordinator (Continuing from January, 2022)
    •  EDA Lab and Embedded Systems Lab Incharge (Continuing from July, 2018)
    •  Faculty Advisor (January, 2018 - June, 2025)
    •  Time Table Incharge (January, 1995 - June, 2025)
     Last updated on December 11, 2025