MULAGALA DILEEP

@vishnu.edu.in

ASSOCIATE PROFESSOR
vishnu institute of Technoogy

EDUCATION

MTECH -(ELECTRONICS COMPUTER)

RESEARCH INTERESTS

IMAGE PROCESSING
11

Scopus Publications

87

Scholar Citations

7

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • A Slotted Antenna for 2.45GHz Wearable Applications
    Mulagala Dileep, Nesasudha Moses, Doondi Kumar Janapala
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2026
  • U-Shaped Slot Wearable Antenna Design for 2.45GHz ISM Band Applications
    Mulagala Dileep, Nesasudha Moses, Doondi Kumar Janapala
    Proceedings of the 7th International Conference on Intelligent Sustainable Systems Iciss 2025, 2025
    A wearable antenna is designed for 2.45GHz band. The antenna is derived from a planar rectangular patch antenna. U-shaped slot along with a rectangular slot is etched on the patch. The antenna utilized a partial ground and micro-strip feed. The polydimethylsiloxane (PDMS) is used as substrate due to its low dielectric constant value and its flexibility. At the back side of the substrate three square shaped metallic slabs are used like a periodic metamaterial unit cell to make antenna operate at 2.45GHz and reduce the SAR value to 0.9582(W/kg). The placement of metallic stubs and the slots are tuned together to achieve the required operating frequency and the SAR as per the FCC standards. A four layered human phantom model is used here and the antenna still covers 2.45GHz frequency below the -10dB level, the return loss maintained as -33.46 dB for off body and -13.45dB for on body.
  • Performance Analysis of Channel Coding Techniques for 6G Networks
    Mulagala Dileep, Killi Reshmi, Kodiboina Keerthi, Mudakala Rohith, Nakka Tarun, Paleti Hemanth Kumar
    Proceedings of 8th International Conference on Trends in Electronics and Informatics Icoei 2025, 2025
    Achieving error-free communication is a significant challenge in wireless technology, forming the foundation for reliable communication systems. However, due to impairments on wireless channels, completely error-free communication is impractical. Channel coding techniques, such as Convolutional codes, LDPC codes, Polar codes and Turbo codes have been pivotal in minimizing error rates across various generations of wireless communication. With the advancement of 5G technology, there is a need for advanced channel coding techniques that prioritize low complexity, reduced Bit error rate and high efficiency. The project examines the performance of these four channel coding schemes for 6G networks. Convolutional codes, widely used in earlier generations of communications, are included as a benchmark to evaluate their suitability for 5G applications. Polar codes, designed to achieve near-Shannon limit performance, are analyzed for their structured approach and application in low-latency scenarios. Turbo codes are evaluated for their iterative decoding mechanism, known for providing reliable performance in noisy environments. LDPC codes, currently utilized in 4G systems, are tested for their efficiency in achieving low BER, reduced complexity, spectral efficiency, latency.
  • Impulse Noise Removal using Residual Convolutional Neural Networks
    A. K. C. Varma, M. Dileep, B. Prudhvi Raj, G. Prasanna Kumar
    Aip Conference Proceedings, 2023
  • Privacy-preserving bimodal authentication system using Fan-Vercauteren scheme
    Mahesh Kumar Morampudi, Mulagala Sandhya, Mulagala Dileep
    Optik, 2023
  • Alzheimer’s Disease Detection Using Ensemble of Classifiers
    B. V. V. Satyanarayana, G. Prasanna Kumar, A. K. C. Varma, M. Dileep, Y. Srinivas, Prudhvi Raj Budumuru
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2023
  • Modified Channel Estimation Techniques for DCT based OFDM Systems
    G Prasanna Kumar, M Dileep, B V V Satyanarayana, S P Manikanta
    2022 International Conference on Computer Communication and Informatics Iccci 2022, 2022
    In the field of Wireless Communication many advancements are developed in past decade. The main requirements of are high data rates quality of service (QOS). In this paper Orthogonal Frequency Division Multiplexing (OFDM) is designed using discrete cosine transforms (DCT). The channel estimation techniques of Least Square (LS) and Minimum mean square error (MMSE) are analyzed with the help of DCT kernel matrix of DCT based OFDM systems. We will also compare the results of estimation techniques of DCT OFDM systems with the DFT based OFDM systems. It is required to investigate on DCT-OFDM system for better performance. The DCT-OFDM mainly concentrate on disposal of between block and intercarrier obstruction at a similar guard grouping overhead, contrasted and DFT-OFDM. DCT-based OFDM requires just a large portion of the subcarrier dispersing of OFDM, in this way permitting to twofold the quantity ofsubcarriers inside a similar data transmission
  • Image Deconvolution using Deep Learning-based Adam Optimizer
    G Prasanna Kumar, G Shanthi Priya, M Dileep, B Elisha Raju, Abdul Rahaman Shaik, K V S H G Sarman
    6th International Conference on Electronics Communication and Aerospace Technology Iceca 2022 Proceedings, 2022
    The image deconvolution eliminates the image blur using the manual methods in which the kernels are applied, and the neural network method uses the optimizers. The optimizers are designed from the examples, or the predetermined manual instructions are given. The inverse problems of the blur images using manual methods have made it difficult for the deconvolution, hence the optimized techniques are designed to get the deconvolution images. Different optimizers are designed to the deconvolution of the images, but the quality of restoration is not as expected. The existing algorithms use the Gradient Descent optimizer for the deconvolution, which is designed for the removal of the Gaussian Noise but not to the other types of noises. The proposed algorithm uses Adam optimizer to remove all the other types of noises like poison and speckle noise. The proposed method is based on deep learning, in which residual convolutional neural network is used for training. The proposed network is trained with Adam optimizer, which increases the Peak Signal to Noise Ratio and Structural Similarity Index Measurement than the previously existing algorithms. The Adam optimizer can also be applied for the real time problems of the image deconvolution.
  • Leukocyte Subtyping Using Convolutional Neural Networks for Enhanced Disease Prediction
    Mulagala Sandhya, Tanmay Dhopavkar, Dilip Kumar Vallabhadas, Jayaprakash Palla, Mulagala Dileep, Sriramulu Bojjagani
    Lecture Notes in Electrical Engineering, 2022
  • Deep Neural Networks with Multi-class SVM for Recognition of Cross-Spectral Iris Images
    Mulagala Sandhya, Ujas Rudani, Dilip Kumar Vallabhadas, Mulagala Dileep, Sriramulu Bojjagani, Sravya Pallantla, P. D. S. S. Lakshmi Kumari
    Communications in Computer and Information Science, 2021
  • Fingerprint Cryptosystem Using Variable Selection of Minutiae Points
    Mulagala Sandhya, Mulagala Dileep, Akurathi Narayana Murthy, Md. Misbahuddin
    Advances in Intelligent Systems and Computing, 2020

RECENT SCHOLAR PUBLICATIONS

  • Performance Analysis of Channel Coding Techniques for 6G Networks
    M Dileep, K Reshmi, K Keerthi, M Rohith, N Tarun, PH Kumar
    2025 8th International Conference on Trends in Electronics and Informatics … , 2025
    2025.0
    Citations: 1
  • U-Shaped Slot Wearable Antenna Design for 2.45 GHz ISM Band Applications
    M Dileep, N Moses, DK Janapala
    2025 7th International Conference on Intelligent Sustainable Systems (ICISS … , 2025
    2025.0
  • A Slotted Antenna for 2.45 GHz Wearable Applications
    M Dileep, N Moses, DK Janapala
    EAI International Conference on Advanced Technologies in Electronics … , 2024
    2024.0
  • Impulse noise removal using residual convolutional neural networks
    AKC Varma, M Dileep, B Prudhvi Raj, G Prasanna Kumar
    AIP Conference Proceedings 2901 (1), 060021 , 2023
    2023.0
    Citations: 4
  • Privacy-preserving bimodal authentication system using Fan-Vercauteren scheme
    MK Morampudi, M Sandhya, M Dileep
    Optik 274, 170515 , 2023
    2023.0
    Citations: 14
  • Image deconvolution using deep learning-based Adam optimizer
    GP Kumar, GS Priya, M Dileep, BE Raju, AR Shaik, K Sarman
    2022 6th International Conference on Electronics, Communication and … , 2022
    2022.0
    Citations: 18
  • Alzheimer’s disease detection using ensemble of classifiers
    BVV Satyanarayana, GP Kumar, AKC Varma, M Dileep, Y Srinivas, ...
    International Conference on Cognitive Computing and Cyber Physical Systems … , 2022
    2022.0
    Citations: 9
  • Leukocyte Subtyping Using Convolutional Neural Networks for Enhanced Disease Prediction
    M Sandhya, T Dhopavkar, DK Vallabhadas, J Palla, M Dileep, S Bojjagani
    Advanced Machine Intelligence and Signal Processing, 1-17 , 2022
    2022.0
    Citations: 1
  • Leukocyte Subtyping Using
    J Palla, M Dileep, S Bojjagani
    Advanced Machine Intelligence and Signal Processing, 1 , 2022
    2022.0
  • Modified channel estimation techniques for DCT based OFDM systems
    GP Kumar, M Dileep, BVV Satyanarayana, SP Manikanta
    2022 International Conference on Computer Communication and Informatics … , 2022
    2022.0
    Citations: 8
  • Deep neural networks with multi-class SVM for recognition of cross-spectral iris images
    M Sandhya, U Rudani, DK Vallabhadas, M Dileep, S Bojjagani, ...
    Symposium on Machine Learning and Metaheuristics Algorithms, and … , 2020
    2020.0
    Citations: 7
  • Design and Implementation of Full Adder using different XOR Gates
    CRK D.Durga Prasad ,M.Dileep
    International Journal of Innovative Technology and Exploring Engineering … , 2020
    2020.0
    Citations: 4
  • Fingerprint cryptosystem using variable selection of minutiae points
    M Sandhya, M Dileep, AN Murthy, M Misbahuddin
    Data Engineering and Communication Technology: Proceedings of 3rd ICDECT … , 2020
    2020.0
    Citations: 2
  • Performance Evaluation of Different Multipliers in VLSI using VHDL
    MA Kumar, OR Rao, M Dileep, CV Pradeep, K Reddy
    International Journal of Advanced Research in Computer and Communication … , 2016
    2016.0
    Citations: 9
  • A new image encryption and data hiding technique using wavelet transform
    M Dileep, B Prudhviraj, G Prasannakumar
    International Journal of Research in Engineering and Technology 5 (5), 195-198 , 2016
    2016.0
    Citations: 10
  • Early estimation of delay Characteristics of BRAUN Multiplier
    MD B.Prudhvi Raj, A.M.V.Pathi
    International Journal of Electronics & Communication Technology(IJECT) 4 (3) , 2013
    2013.0
  • Ebin NL, 1425
    S Balasubramaniyan, BS Chandra, B Ahmed, B Reddy, V Bharath, ...

MOST CITED SCHOLAR PUBLICATIONS

  • Image deconvolution using deep learning-based Adam optimizer
    GP Kumar, GS Priya, M Dileep, BE Raju, AR Shaik, K Sarman
    2022 6th International Conference on Electronics, Communication and … , 2022
    2022.0
    Citations: 18
  • Privacy-preserving bimodal authentication system using Fan-Vercauteren scheme
    MK Morampudi, M Sandhya, M Dileep
    Optik 274, 170515 , 2023
    2023.0
    Citations: 14
  • A new image encryption and data hiding technique using wavelet transform
    M Dileep, B Prudhviraj, G Prasannakumar
    International Journal of Research in Engineering and Technology 5 (5), 195-198 , 2016
    2016.0
    Citations: 10
  • Alzheimer’s disease detection using ensemble of classifiers
    BVV Satyanarayana, GP Kumar, AKC Varma, M Dileep, Y Srinivas, ...
    International Conference on Cognitive Computing and Cyber Physical Systems … , 2022
    2022.0
    Citations: 9
  • Performance Evaluation of Different Multipliers in VLSI using VHDL
    MA Kumar, OR Rao, M Dileep, CV Pradeep, K Reddy
    International Journal of Advanced Research in Computer and Communication … , 2016
    2016.0
    Citations: 9
  • Modified channel estimation techniques for DCT based OFDM systems
    GP Kumar, M Dileep, BVV Satyanarayana, SP Manikanta
    2022 International Conference on Computer Communication and Informatics … , 2022
    2022.0
    Citations: 8
  • Deep neural networks with multi-class SVM for recognition of cross-spectral iris images
    M Sandhya, U Rudani, DK Vallabhadas, M Dileep, S Bojjagani, ...
    Symposium on Machine Learning and Metaheuristics Algorithms, and … , 2020
    2020.0
    Citations: 7
  • Impulse noise removal using residual convolutional neural networks
    AKC Varma, M Dileep, B Prudhvi Raj, G Prasanna Kumar
    AIP Conference Proceedings 2901 (1), 060021 , 2023
    2023.0
    Citations: 4
  • Design and Implementation of Full Adder using different XOR Gates
    CRK D.Durga Prasad ,M.Dileep
    International Journal of Innovative Technology and Exploring Engineering … , 2020
    2020.0
    Citations: 4
  • Fingerprint cryptosystem using variable selection of minutiae points
    M Sandhya, M Dileep, AN Murthy, M Misbahuddin
    Data Engineering and Communication Technology: Proceedings of 3rd ICDECT … , 2020
    2020.0
    Citations: 2
  • Performance Analysis of Channel Coding Techniques for 6G Networks
    M Dileep, K Reshmi, K Keerthi, M Rohith, N Tarun, PH Kumar
    2025 8th International Conference on Trends in Electronics and Informatics … , 2025
    2025.0
    Citations: 1
  • Leukocyte Subtyping Using Convolutional Neural Networks for Enhanced Disease Prediction
    M Sandhya, T Dhopavkar, DK Vallabhadas, J Palla, M Dileep, S Bojjagani
    Advanced Machine Intelligence and Signal Processing, 1-17 , 2022
    2022.0
    Citations: 1
  • U-Shaped Slot Wearable Antenna Design for 2.45 GHz ISM Band Applications
    M Dileep, N Moses, DK Janapala
    2025 7th International Conference on Intelligent Sustainable Systems (ICISS … , 2025
    2025.0
  • A Slotted Antenna for 2.45 GHz Wearable Applications
    M Dileep, N Moses, DK Janapala
    EAI International Conference on Advanced Technologies in Electronics … , 2024
    2024.0
  • Leukocyte Subtyping Using
    J Palla, M Dileep, S Bojjagani
    Advanced Machine Intelligence and Signal Processing, 1 , 2022
    2022.0
  • Early estimation of delay Characteristics of BRAUN Multiplier
    MD B.Prudhvi Raj, A.M.V.Pathi
    International Journal of Electronics & Communication Technology(IJECT) 4 (3) , 2013
    2013.0
  • Ebin NL, 1425
    S Balasubramaniyan, BS Chandra, B Ahmed, B Reddy, V Bharath, ...