Dr. Umakant P. Kulkarni

@sdmcet.ac.in

Professor and Head, Department of Computer Science and Engineering
SDM College of Engineering and Technology

Dr. Umakant P. Kulkarni


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https://researchid.co/upkulkarni

EDUCATION

BE(CSE), ME(CSE) and PhD(Engineering)

RESEARCH INTERESTS

Distributed System, Smart Space, Intelligent System, Ubiquitous Computing
76

Scopus Publications

1032

Scholar Citations

17

Scholar h-index

31

Scholar i10-index

Scopus Publications

  • Janus: A Dual-Mask Attention Transformer for Log-based Anomaly Detection in Cellular Networks
    Umakant Kulkarni, Sonia Fahmy
    Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2026
    Modern cellular networks, such as 5G, generate complex operational logs that challenge traditional anomaly detection techniques. Existing deep learning approaches, including standard transformer models, treat logs as monolithic text streams and lack the specialization to reason about procedural correctness and semantic integrity, a key requirement for telecommunications software. We tackle this problem in our system Janus, a log-based anomaly detection system featuring a novel Single-Pass Dual-Mask (SPDM) attention mechanism. Janus introduces a domain-specific inductive bias by partitioning attention heads into two groups. Global heads learn the valid temporal grammar of 5G procedures using a causal mask, and local heads perform fine-grained audits on the consistency of critical data fields using a tag-based semantic mask. A multi-stage curriculum learning framework progressively adapts Janus from domain pre-training to discriminative fine-tuning and learns to detect complex, real-world software failures. Experimental evaluation with several 5G log datasets demonstrates that Janus consistently outperforms prior systems, achieving on average a 3× performance improvement over a DNN-based baseline and an 80% gain over a transformer-based system.
  • RUN: A Case for Cross-Layer Networked Virtual Reality
    Yufeng Chen, Umakant Kulkarni, Voicu Popescu, Sonia Fahmy
    Mm 2025 Proceedings of the 33rd ACM International Conference on Multimedia Co Located with mm 2025, 2025
  • Auto-metric Graph Neural Network for Attack Detection on IoT-based Smart Environment and Secure Data Transmission using Advanced Wild Horse Standard Encryption Method
    Ranganath Yadawad, Umakant P. Kulkarni, Jafar A. Alzubi
    International Journal of Computer Network and Information Security, 2024
    Smart cities (SCs) are being constructed with the huge placement of the Internet of Things (IoT). Real-time enhancements to life quality based on comfort and efficiency. The key concerns in most SCs that immediately impact network performance are security and privacy. Numerous approaches are proposed for secure data transmission, but the current methods do not provide high accuracy and it provide high computational time. To resolve these problems, an Auto-metric Graph Neural Network for Attack Detection and Secure Data Transmission using Optimized Enhanced Identity-Based Encryption in IoT (AGNN-AWHSE-ST-IoT) is proposed. Primarily, the input data is taken from the NSL-KDD dataset. The input data is gathered with the aid of NSL-KDD is pre-processed using three steps, crisp data conversion, splitting, and normalization. Then the Pre-processed input is fed into the Colour Harmony Algorithm (CHA) based feature selection to select the important features. After feature selection, the preferred features are given to the AGNN classifier. After classifying, the data is given to Enhanced Identity-Based Encryption (EIBE), and it is optimized using Wild Horse Optimizer (WHO) for transmitting the data more safely. The outcomes of the normal data are displayed using the LCD monitor. The AGNN-AWHSE-ST-IoT method is implemented in PYTHON. The AGNN-AWHSE-ST-IoT method attains 8.888%, 13.953%, 19.512% higher accuracy, 2.105%, 6.593%, 8.988% higher cumulative accuracy, 54.285%, 54.285%, 52.941% lower encryption time, 8.2%, 3.3%, 6.9% lower decryption time, 11.627%, 10.344%, 6.666% higher security level and 60.869%, 70% and 64% lower computational time than the existing approaches such as SBAS-ST-IoT, BDN-GWMNN-ST-IoT and DNN-LSTM-ST-IoT respectively.
  • Securing the Cloud-Native 5G Control Plane
    Umakant Kulkarni, Sonia Fahmy
    Proceedings IEEE Military Communications Conference MILCOM, 2024
    The shift to cloud-native architectures in the 5G control plane introduces significant challenges in securing complex network functions deployed as microservices. Traditional security mechanisms, such as service mesh architectures and kernel-level solutions, often suffer from protocol limitations, high overhead, or incomplete inter-service encryption. Therefore, we present Zero Trust X Security Enforcement Microservice (ZTX-SEM), a protocol-agnostic zero-trust security solution designed specifically for cloud-native deployments. We propose a lightweight packet interception mechanism that operates across all protocols, a proactive authentication strategy that reduces latency and ensures continuous readiness, and an optimized secret key lookup that accelerates encrypted communication processing. Our experiments on a Kubernetes-deployed 5G control plane (core) demonstrate that ZTX-SEM outperforms existing solutions such as Istio, achieving 75% and 28% reductions in resource utilization and session setup times, respectively.
  • RPL-OFs analysis and dynamic of selection for QoS optimisation of RPL protocol
    Sharwari S. Solapure, Harish H. Kenchannavar, Umakant P. Kulkarni
    International Journal of Wireless and Mobile Computing, 2024
  • Understanding the Impact of Wi-Fi Configuration on Volumetric Video Streaming Applications
    Umakant Kulkarni, Khaled Diab, Shivang Aggarwal, Lianjie Cao, Faraz Ahmed, et al.
    Proceedings of the 2023 Workshop on Emerging Multimedia Systems EMS 2023, 2023
    Emerging multimedia applications often use a wireless LAN (Wi-Fi) infrastructure to stream content. These Wi-Fi deployments vary vastly in terms of their system configurations. In this paper, we take a step toward characterizing the Quality of Experience (QoE) of volumetric video streaming over an enterprise-grade Wi-Fi network to: (i) understand the impact of Wi-Fi control parameters on user QoE, (ii) analyze the relation between Quality of Service (QoS) metrics of Wi-Fi networks and application QoE, and (iii) compare the QoE of volumetric video streaming to traditional 2D video applications. We find that Wi-Fi configuration parameters such as channel width, radio interface, access category, and priority queues are important for optimizing Wi-Fi networks for streaming immersive videos.
  • Model view controller (MVC) architecture and client-to-client file transfer protocol with binarized spiking neural network for building a smart home appliances control in IoT
    Ranganath Yadawad, Umakant P. Kulkarni
    International Journal of Information Technology Singapore, 2023
  • Retraction Note: Research outlook and state-of-the-art methods in context awareness data modeling and retrieval(Evolutionary Intelligence, (2022), 15, (1025–1036), 10.1007/s12065-019-00274-x)
    S. G. Gollagi, M. M. Math, U. P. Kulkarni
    Evolutionary Intelligence, 2023
  • Toward QoE-based Routing Path Selection
    Umakant Kulkarni, Yufeng Chen, Patrick Melampy, Sonia Fahmy
    IEEE International Conference on High Performance Switching and Routing Hpsr, 2023
    The increasing popularity of video streaming and conferencing services have altered the nature of Internet traffic. In this paper, we take a first step toward quantifying the impact of this changing nature of traffic on the Quality of Experience (QoE) of popular video streaming and conferencing applications. We first analyze the traffic characteristics of these applications and of backbone links, and show how simple multipath routing may adversely impact application QoE. To mitigate this problem, we propose a new routing path selection approach, inspired by the TCP timeout computation algorithm, that uses both the average and variation of path load. Preliminary results show that this approach improves application QoE by on average 14% and packet latency by 11% for video streaming and conferencing applications, respectively.1
  • Facial Emotion Recognition using Three-Layer ConvNet with Diversity in Data and Minimum Epochs
    International Journal of Intelligent Systems and Applications in Engineering, 2022
  • Evaluation and Analysis of Goodness of Fit for Water Quality Parameters Using Linear Regression Through the Internet-of-Things-Based Water Quality Monitoring System
    Harish H. Kenchannavar, Prasad M. Pujar, Raviraj M. Kulkarni, Umakant P. Kulkarni
    IEEE Internet of Things Journal, 2022
  • Research outlook and state-of-the-art methods in context awareness data modeling and retrieval
    S. G. Gollagi, M. M. Math, U. P. Kulkarni
    Evolutionary Intelligence, 2022
  • An Effective Way of Implementing Experiential Learning for Laboratory Courses – A Case Study
    Journal of Engineering Education Transformations, 2022
  • Analysis of Various RPL Protocol Objective Functions for Quality of Service Parameters
    Sharwari Solapure, Harish Kenchannavar, Umakant P. Kulkarni
    2022 IEEE International Conference on Blockchain and Distributed Systems Security Icbds 2022, 2022
  • Towards A Low-Cost Stateless 5G Core
    Umakant Kulkarni, Amit Sheoran, Sonia Fahmy
    IEEE Workshop on Local and Metropolitan Area Networks, 2022
  • A framework for a curriculum to ensure minimum standard for flexible, experiential and multi-disciplinary learning towards achieving NEP-2020 goals
    Journal of Engineering Education Transformations, 2022
  • The Cost of Stateless Network Functions in 5G
    Umakant Kulkarni, Amit Sheoran, Sonia Fahmy
    Ancs 2021 Proceedings of the 2021 Symposium on Architectures for Networking and Communications Systems, 2021
  • A Survey on On-Board Diagnostic in Vehicles
    Deepa Saibannavar, Mallikarjun M. Math, Umakant Kulkarni
    Eai Springer Innovations in Communication and Computing, 2021
  • Self-organising map-based dynamic decision-making algorithm for heterogeneous wireless sensor network
    Umesh M. Kulkarni, Harish H. Kenchannavar, Umakant P. Kulkarni
    International Journal of Parallel Emergent and Distributed Systems, 2021
  • A Comprehensive Survey of Fully Homomorphic Encryption from Its Theory to Applications
    Rashmi Salavi, M. M. Math, U. P. Kulkarni
    Cyber Security and Digital Forensics, 2021
  • Statistical Analysis of Stress Levels in Students Pursuing Professional Courses
    Harish H. Kenchannavar, Shrivatsa D. Perur, U. P. Kulkarni, Rajeshwari Hegde
    Smart Innovation Systems and Technologies, 2021
  • Novel Information Repository for Smart Environment
    Ranganath Yadawad, Umakant P Kulkarni
    2020 IEEE International Conference for Innovation in Technology Inocon 2020, 2020
  • Open assessment methodology-based decision support system in blended learning environments
    G.M. Shivanagowda, R.H. Goudar, Umakanth P. Kulkarni
    International Journal of Knowledge and Learning, 2020
  • Real-time water quality monitoring through Internet of Things and ANOVA-based analysis: a case study on river Krishna
    Prasad M. Pujar, Harish H. Kenchannavar, Raviraj M. Kulkarni, Umakant P. Kulkarni
    Applied Water Science, 2020
  • Estimating distance threshold for greedy subspace clustering
    Bhagyashri Abhay Kelkar, Sunil F. Rodd, Umakant P. Kulkarni
    Expert Systems with Applications, 2019

RECENT SCHOLAR PUBLICATIONS

  • Auto-metric graph neural network for attack detection on IoT-based smart environment and secure data transmission using advanced wild horse standard encryption method
    R Yadawad, UP Kulkarni, JA Alzubi
    Int. J. Comput. Netw. Inf. Secur. 16 (3), 1-15 , 2024
    2024
    Citations: 18
  • RPL-OFs analysis and dynamic of selection for QoS optimisation of RPL protocol
    SS Solapure, HH Kenchannavar, UP Kulkarni
    International Journal of Wireless and Mobile Computing 27 (1), 25-40 , 2024
    2024
    Citations: 4
  • Model view controller (MVC) architecture and client-to-client file transfer protocol with binarized spiking neural network for building a smart home appliances control in IoT
    R Yadawad, UP Kulkarni
    International Journal of Information Technology 15 (6), 3189-3200 , 2023
    2023
    Citations: 8
  • Model view controller (C2CMVC) architecture and Client-To-Client File Transfer Protocol with Binarized Spiking Neural Network for Building a Smart home appliances
    R Yadawad, UP Kulkarni
    International Journal of Computing and Digital Systems 14 (1), 1-xx , 2023
    2023
  • Marathi extractive text summarization using latent semantic analysis and fuzzy algorithms
    VV Giri, MM Math, UP Kulkarni
    Computational Intelligence and Machine Learning 4 (1) , 2023
    2023
    Citations: 5
  • Retraction Note: Research outlook and state-of-the-art methods in context awareness data modeling and retrieval
    SG Gollagi, MM Math, UP Kulkarni
    Evolutionary Intelligence 16 (2), 721-721 , 2023
    2023
  • An Effective Way of Implementing Experiential Learning for Laboratory Courses–A Case Study
    IR Umarji, V Kulkarni, UP Kulkarni
    Journal of Engineering Education Transformations, 297-302 , 2023
    2023
    Citations: 2
  • Analysis of Various RPL Protocol Objective Functions for Quality of Service Parameters
    S Solapure, H Kenchannavar, UP Kulkarni
    2022 IEEE International Conference on Blockchain and Distributed Systems … , 2022
    2022
    Citations: 3
  • Stream Processing for Performance Analysis of Identifying Dropout Students utilizing Different Decision Tree Based Methods
    S Guddin, DRN Yadawad, DUP Kulkarni
    International Journal of Scientific Research in Computer Science … , 2022
    2022
    Citations: 2
  • Retracted Article: Research outlook and state-of-the-art methods in context awareness data modeling and retrieval
    SG Gollagi, MM Math, UP Kulkarni
    Evolutionary Intelligence 15 (2), 1025-1036 , 2022
    2022
    Citations: 11
  • A comprehensive survey of fully homomorphic encryption from its theory to applications
    R Salavi, MM Math, UP Kulkarni
    Cyber Security and Digital Forensics, 73-90 , 2022
    2022
    Citations: 11
  • A framework for a curriculum to ensure minimum standard for flexible, experiential and multi-disciplinary learning towards achieving NEP-2020 goals
    I Umarji, R Yadawad, R Patil, V Kulkarni, UP Kulkarni
    Journal of Engineering Education Transformations, 221-226 , 2022
    2022
    Citations: 2
  • A study on effective Strategies to device future generation Agriculture Information System for Indian Farmers
    SM Kumar, S Suman, UP Kulkarni, AM Yadwad, H Patil
    Design Engineering, 5326-5333 , 2021
    2021
  • Design and Development of interactive and low cost Autonomous Ergonomic Weed Eliminator
    S Suman, V Kamate, S Mohan Kumar, UP Kulkarni
    IOP Conference Series: Materials Science and Engineering 1189 (1), 012032 , 2021
    2021
  • Evaluation and analysis of goodness of fit for water quality parameters using linear regression through the Internet-of-Things-based water quality monitoring system
    HH Kenchannavar, PM Pujar, RM Kulkarni, UP Kulkarni
    IEEE Internet of Things Journal 9 (16), 14400-14407 , 2021
    2021
    Citations: 35
  • Self-organising map-based dynamic decision-making algorithm for heterogeneous wireless sensor network
    UM Kulkarni, HH Kenchannavar, UP Kulkarni
    International Journal of Parallel, Emergent and Distributed Systems 36 (4 … , 2021
    2021
    Citations: 6
  • MTStemmer: A multilevel stemmer for effective word pre-processing in Marathi
    V Giri, MM Math, UP Kulkarni
    Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12 (2 … , 2021
    2021
    Citations: 17
  • Novel Information Repository for Smart Environment
    R Yadawad, UP Kulkarni
    2020 IEEE International Conference for Innovation in Technology (INOCON), 1-8 , 2020
    2020
  • Statistical analysis of stress levels in students pursuing professional courses
    HH Kenchannavar, SD Perur, UP Kulkarni, R Hegde
    International Conference on Information and Communication Technology for … , 2020
    2020
    Citations: 2
  • A survey on on-board diagnostic in vehicles
    D Saibannavar, MM Math, U Kulkarni
    International Conference on Mobile Computing and Sustainable Informatics, 49-60 , 2020
    2020
    Citations: 27

MOST CITED SCHOLAR PUBLICATIONS

  • Real-time water quality monitoring through Internet of Things and ANOVA-based analysis: a case study on river Krishna
    PM Pujar, HH Kenchannavar, RM Kulkarni, UP Kulkarni
    Applied Water Science 10 (1), 22 , 2020
    2020
    Citations: 109
  • Accuracy prediction for distributed decision tree using machine learning approach
    S Patil, U Kulkarni
    2019 3rd International Conference on Trends in Electronics and Informatics … , 2019
    2019
    Citations: 66
  • SVM based data redundancy elimination for data aggregation in wireless sensor networks
    P Patil, U Kulkarni
    2013 international conference on advances in computing, communications and … , 2013
    2013
    Citations: 48
  • Wireless sensor network for precision agriculture
    P Patil, H Vidya, S Patil, U Kulkarni
    2011 International conference on computational intelligence and … , 2011
    2011
    Citations: 38
  • Evaluation and analysis of goodness of fit for water quality parameters using linear regression through the Internet-of-Things-based water quality monitoring system
    HH Kenchannavar, PM Pujar, RM Kulkarni, UP Kulkarni
    IEEE Internet of Things Journal 9 (16), 14400-14407 , 2021
    2021
    Citations: 35
  • A survey of various cryptographic techniques: From traditional cryptography to fully homomorphic encryption
    RR Salavi, MM Math, UP Kulkarni
    Innovations in computer science and engineering: Proceedings of the sixth … , 2019
    2019
    Citations: 34
  • Design and implementation of user context aware recommendation engine for mobile using Bayesian network, fuzzy logic and rule base
    GS Thyagaraju, UP Kulkarni
    International Journal of Pervasive Computing and Communications 8 (2), 133-157 , 2012
    2012
    Citations: 32
  • Some issues in clustering algorithms for wireless sensor networks
    P Patil, U Kulkarni, NH Ayachit
    IJCA Special Issue on 2nd National Conference-Computing, Communication and … , 2011
    2011
    Citations: 32
  • Detection of drowsiness using fusion of yawning and eyelid movements
    VB Hemadri, UP Kulkarni
    International Conference on Advances in Computing, Communication and Control … , 2013
    2013
    Citations: 31
  • A survey on on-board diagnostic in vehicles
    D Saibannavar, MM Math, U Kulkarni
    International Conference on Mobile Computing and Sustainable Informatics, 49-60 , 2020
    2020
    Citations: 27
  • A survey of automatic text summarization system for different regional language in India
    VV Giri, MM Math, UP Kulkarni, SB Kulkarni, SM Joshi, JV Vadavi
    Bonfring International Journal of Software Engineering and Soft Computing 6 … , 2016
    2016
    Citations: 24
  • Mobile agent based distributed data mining
    UP Kulkarni, PD Desai, J Ahmed, JV Vadavi, A Yardi
    International Conference on Computational Intelligence and Multimedia … , 2007
    2007
    Citations: 23
  • Wireless sensor network based water monitoring systems: A survey
    PM Pujar, HH Kenchannavar, UP Kulkarni
    2016 2nd International Conference on Applied and Theoretical Computing and … , 2016
    2016
    Citations: 21
  • Conflict resolution in multiuser context-aware environments
    GS Thyagaraju, SM Joshi, UP Kulkarni, SK NarasimhaMurthy, AR Yardi
    2008 International Conference on Computational Intelligence for Modelling … , 2008
    2008
    Citations: 20
  • Fuzzy logic based irrigation control system using wireless sensor network for precision agriculture
    P Patil, U Kulkarni, BL Desai, VI Benagi, VB Naragund
    Agro-Informatics and Precision Agriculture (AIPA) , 2012
    2012
    Citations: 19
  • Auto-metric graph neural network for attack detection on IoT-based smart environment and secure data transmission using advanced wild horse standard encryption method
    R Yadawad, UP Kulkarni, JA Alzubi
    Int. J. Comput. Netw. Inf. Secur. 16 (3), 1-15 , 2024
    2024
    Citations: 18
  • MTStemmer: A multilevel stemmer for effective word pre-processing in Marathi
    V Giri, MM Math, UP Kulkarni
    Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12 (2 … , 2021
    2021
    Citations: 17
  • Adaptive tuning algorithm for performance tuning of database management system
    SF Rodd, UP Kulkarni
    arXiv preprint arXiv:1005.0972 , 2010
    2010
    Citations: 17
  • GLCM-based multiclass iris recognition using FKNN and KNN
    SB Kulkarni, RB Kulkarni, UP Kulkarni, RS Hegadi
    International Journal of Image and Graphics 14 (03), 1450010 , 2014
    2014
    Citations: 16
  • Simulink model for frame difference and background subtraction comparision in visual sensor network
    HH Kenchannavar, GS Patkar, UP Kulkarni, MM Math
    2010 The 3rd International Conference on Machine Vision (ICMV 2010) , 2010
    2010
    Citations: 16