Dr. MANJUNATH KOTARI

@aiet.org.in

Professor and Head- CSE
Alva's Institute of Engineering and Technology (AIET)

Dr. MANJUNATH KOTARI


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https://researchid.co/mkotari

EDUCATION

B.E, M.Tech, Ph.D

RESEARCH INTERESTS

Distributed Systems, Computer Networks, Cyber Security, Data Analytics
19

Scopus Publications

100

Scholar Citations

7

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • NLP-Powered Career and Higher Education Guidance and Recommendation System: A Deep Learning Approach
    M. Veena, Manjunath Kotari
    Journal of Circuits Systems and Computers, 2026
    In today’s rapidly changing job market and educational landscape, individuals face challenges in making decisions about their careers and higher education paths. The abundance of available information from various sources can make it difficult for them to identify relevant opportunities that align with their interests, skills and aspirations. To solve this issue, this paper presents a novel NLP-powered system for career and higher education guidance and recommendation, leveraging deep learning (DL) techniques. Named entity recognition (NER) is performed using a modified bidirectional encoder representation from transformers (BERT) model, enabling accurate identification of entities within the text. Word embedding methods, including dynamic context window-based FastText (DCW-FastText), are employed to capture semantic relationships between words and transform textual data into numerical vectors suitable for machine learning (ML) algorithms. An ensemble of DL models is utilized for recommendation, including attention-based recurrent neural networks (RNNs), optimized convolutional neural networks (CNNs) and long short-term memory (LSTM) networks. The self-enhanced pufferfish energy optimizer (SE-PEO) algorithm is introduced for optimizing the parameters of the CNN. The proposed model is implemented using the Python platform and achieved an accuracy of 99.89% for training 80%. The model’s generalizability is limited by its 2380-row dataset and simulated settings, necessitating future research on real-world validation and wider application across various educational environments.
  • Secure and efficient message transmission in MANET using hybrid cryptography and multipath routing technique
    Jayantkumar A. Rathod, Manjunath Kotari
    Multimedia Tools and Applications, 2025
  • Correction to: Secure and efficient message transmission in MANET using hybrid cryptography and multipath routing technique (Multimedia Tools and Applications, (2024), 84, 13, (12633-12656), 10.1007/s11042-024-19542-9)
    Jayantkumar A. Rathod, Manjunath Kotari
    Multimedia Tools and Applications, 2025
  • A Survey on Customized Algorithm Approach for Solving Non-convex Optimization Problems in Machine Learning
    Harish Kunder, Manjunath Kotari
    Springer Proceedings in Mathematics and Statistics, 2025
  • Detection of Illegal Sand Mining for Environmental Sustainability
    Suraksha BR, Vaibhavi Malemath, Sumanth S, Manjunath Kotari
    Proceedings 2025 IEEE 1st International Conference on Smart Innovations in Systems Infrastructure Mechanical Power AI and Computing Technologies Sisimpact 2025, 2025
    Illegal sand mining has become a major global concern, disrupting ecosystems, destabilizing riverbeds, and threatening local economies, especially in areas with weak enforcement and oversight. To mitigate these impacts, this study proposes an integrated monitoring framework that combines satellite remote sensing, artificial intelligence (AI), and web-based technologies for near real-time surveillance. Using APIs that deliver satellite imagery updated every six hours, the system continuously observes riverine regions, identifies potential extraction hotspots, and monitors transport routes linked to illegal activities. The framework employs custom analytical tools to detect and track vehicles and equipment commonly used in sand mining operations. These spatial and behavioral data streams are processed into adaptive machine learning datasets, enabling predictive models to accurately distinguish between legitimate and illicit mining activities.[2]
  • A Review on AI Acceleration with FPGA and ASICs: A Comparative Study
    Manjunath Kotari, Sharath, Siddharth Kanabargi, Swapnil Alori, Yogeshwara B
    Conference Proceedings 2025 IEEE 4th International Conference on Data Decision and Systems Icdds 2025, 2025
  • Temporal Analysis of Rainfall Patterns Over India: Insights from IMERG, GSMap, and IMD Data
    Harshika, Gurukiran P, Sathish S, Rounaq Goenka, Manjunath Kotari
    Proceedings of 8th International Conference on Trends in Electronics and Informatics Icoei 2025, 2025
    Water vapor is a fundamental element of the Earth's hydrological cycle and has a direct impact on agriculture, water resource management, and food security. Although ground-based systems like rain gauges can offer high-precision precipitation observations, their low spatial coverage calls for satellite-based products like GSMaP and IMERG to monitor large-scale precipitation. This research evaluates the precision and reliability of GSMaP and IMERG datasets against high-resolution IMD ground-based observations over the Indian subcontinent. The datasets were standardized to 0.25° spatial resolution, preprocessed to remove negligible precipitation values, and tested using statistical performance measures, such as mean bias (MB), root mean square error (RMSE), and Pearson's correlation coefficient (R). In addition, visual methods such as sector distribution maps and time-series analysis were utilized to compare spatial and temporal trends. Outcomes show that, although there is great promise of satellite-based precipitation products for hydrological modeling, disaster risk management, and climate adaptation strategies, biases and errors still occur. The research highlights the necessity of bias-correction methods and multi-source data integration to improve the precision of precipitation estimation, ultimately facilitating enhanced climate resilience and sustainable water resource management.
  • A Lightweight Network Deployed on ARM Device for Hand Gesture Recognition
    Shreyas P S, Varshith V Hegde, Shivaneeth Keshav Shetty, Shreevanth R Bhandary, Manjunath Kotari
    2025 International Conference on Intelligent Control Computing and Communications Ic3 2025, 2025
    Enhancing interactions with natural and user-friendly computer interfaces (HCIs) requires the use of hand gestures. This article illustrates a particularly created brilliant neural network that can identify the flat-based platform's movements. Real-time applications on low-power devices can benefit from the suggested approach, which is solely software-implemented and tailored for resource-constrained contexts. To classify hand gestures with high accuracy and minimal computing complexity, the network analyzes input from infrared (IR) sensors. Particular care is taken to reduce the model's memory and processing needs without sacrificing recognition efficiency. The system is tested using a variety of hand gestures and shows that, despite having little hardware resources, it is capable of quickly and accurately recognizing movements. The software solution offers a scalable method for integrating gesture detection systems into a range of HCI applications on wearable and embedded devices. The system demonstrated competitive performance and low power consumption following rigorous testing. This study demonstrates the practical application of lightweight, software-driven machine learning models in fields including home automation, assistive technology, and robotics.
  • Neural Threats: Cybersecurity Implications of CNN- and RNN-Based Deepfake Detection
    Manjunath Kotari, Padmaraj Praphull Kurundwade, Pooja K R, Pavitra Ishwarappa Talawar, Roshan S
    2025 IEEE 6th Global Conference for Advancement in Technology Gcat 2025, 2025
    Deepfake technology, powered by advanced AI architectures such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Vision Transformers (ViTs), enables the creation of hyper-realistic synthetic media including images, videos, audio, and text. While these advances benefit domains such as education, accessibility, and entertainment, they also pose serious risks to privacy, cybersecurity, and the integrity of digital content. This paper reviews major deep-fake generation techniques—face swapping, face reenactment, attribute manipulation, and emerging audio/text forgeries—and examines benchmark datasets such as FaceForensics++, DFDC, and Celeb-DF. We present a comparative analysis of traditional versus deep learning detection approaches. Furthermore, an experimental framework combining CNNs and ViTs achieves a detection accuracy of up to 97.0%, outperforming several recent models. The findings underscore the urgent need for scalable, explainable, and robust detection systems to counter evolving deepfake threats.
  • IoT-Enabled Cargo Shipment Management: Real-Time Tracking and Optimization in Global Logistics
    Manjunath Kotari, Bharathesh S K, Bhagyashree S Naik, Karthik A Shetty, Ankit S Shetty
    2025 International Conference on Intelligent Control Computing and Communications Ic3 2025, 2025
    In the era of globalization, efficient cargo shipment management is crucial for optimizing global logistics operations. This paper proposes an IoT-enabled system for real-time tracking and optimization of cargo shipments. By integrating IoT sensors, RFID technology, GPS, and data analytics, the system provides continuous monitoring of cargo conditions such as location, temperature, humidity, and security, ensuring optimal environmental conditions throughout the shipment journey. The proposed system enhances operational efficiency by enabling real-time data collection, predictive analytics, and dynamic route optimization, reducing costs and improving delivery reliability. Furthermore, IoT integration facilitates proactive decision-making, risk mitigation, and the prevention of theft or damage to goods. By streamlining logistics processes and providing actionable insights, this solution offers significant improvements in supply chain visibility, safety, and efficiency. The findings suggest that IoT-enabled cargo shipment management can revolutionize global logistics by enhancing transparency, reducing operational disruptions, and ensuring timely deliveries in the face of complex, multimodal transportation networks.
  • Petal Region Analysis of Improved Petal Ant Routing for Mobile Ad Hoc Networks
    B. P. Sathyaprakash, Manjunath Kotari
    SN Computer Science, 2024
  • TriChain: Kangaroo-Based Intrusion Detection for Secure Multipath Route Discovery and Route Maintenance in MANET Using Advanced Routing Protocol
    Jayantkumar A. Rathod, Manjunath Kotari
    International Journal of Computer Networks and Applications, 2024
  • Dynamic Routing Using Petal Ant Colony Optimization for Mobile Ad-hoc Networks
    Sathyaprakash B. P, Manjunath Kotari
    International Journal of Advanced Computer Science and Applications, 2023
  • A Novel Framework for Network Based Secure Message Transmission Based on Fragmentation and Cryptography
    Jayantkumar A Rathod, Manjunath Kotari
    4th International Conference on Circuits Control Communication and Computing I4c 2022, 2022
  • Cyberbullying in Online/E-Learning Platforms Based on Social Networks
    N. Balaji, B. H. Karthik Pai, Kotari Manjunath, Bhat Venkatesh, N. Bhavatarini, B. K. Sreenidhi
    Lecture Notes in Networks and Systems, 2022
  • Integration of MQTT Protocol with Map APIs for Smart Garbage Management
    U B Nagesh, Manjunath Kotari, S C Chethan
    2021 IEEE International Conference on Distributed Computing VLSI Electrical Circuits and Robotics Discover 2021 Proceedings, 2021
  • A survey on detection and analysis of cyber security threats through monitoring tools
    Manjunath Kotari, Niranjan N. Chiplunkar
    Handbook of Research on Intrusion Detection Systems, 2020
  • Investigation of security issues in distributed system monitoring
    Manjunath Kotari, Niranjan N. Chiplunkar
    Handbook of Computer Networks and Cyber Security Principles and Paradigms, 2019
  • Implementation of secure customized monitoring tool for adapative distributed systems
    Manjunath Kotari, Niranjan N. Chiplunkar, H R Nagesh
    Proceedings of 2014 International Conference on Contemporary Computing and Informatics Ic3i 2014, 2014

RECENT SCHOLAR PUBLICATIONS

  • Neural Threats: Cybersecurity Implications of CNN-and RNN-Based Deepfake Detection
    M Kotari, PP Kurundwade, PI Talawar
    2025 IEEE 6th Global Conference for Advancement in Technology (GCAT), 1-7 , 2025
    2025
  • A Survey on Customized Algorithm Approach for Solving Non-convex
    H Kunder, M Kotari
    Applications of Computational Intelligence in Management and Mathematics I … , 2025
    2025
  • NLP-Powered Career and Higher Education Guidance and Recommendation System: A Deep Learning Approach
    VM Manjunath Kotari
    Journal of Circuits, Systems and Computers , 2025
    2025
  • Correction to: Secure and efficient message transmission in MANET using hybrid cryptography and multipath routing technique
    JA Rathod, M Kotari
    Multimedia Tools and Applications 84 (13), 12657-12657 , 2025
    2025
  • Secure and efficient message transmission in MANET using hybrid cryptography and multipath routing technique
    JA Rathod, M Kotari
    Multimedia Tools and Applications 84 (13), 12633-12656 , 2025
    2025
    Citations: 17
  • IoT-Enabled Cargo Shipment Management: Real-Time Tracking and Optimization in Global Logistics
    M Kotari, SK Bharathesh, BS Naik, KA Shetty, AS Shetty
    2025 International Conference on Intelligent Control, Computing and … , 2025
    2025
    Citations: 2
  • A Lightweight Network Deployed on ARM Device for Hand Gesture Recognition
    PS Shreyas, VV Hegde, SK Shetty, SR Bhandary, M Kotari
    2025 International Conference on Intelligent Control, Computing and … , 2025
    2025
  • Enhancing Academic Success: A Novel Approach to Predict Learning Performance with an Advanced Blended Learning Performance Predictor
    M Veena, M Kotari
    Educational Administration: Theory and Practice 30 (6), 1755-1767 , 2024
    2024
  • Petal region analysis of improved petal ant routing for mobile ad hoc networks
    BP Sathyaprakash, M Kotari
    SN Computer Science 5 (5), 529 , 2024
    2024
    Citations: 1
  • Exploration of non-convex optimization challenges across diverse data sets using machine learning and deep learning methods
    H Kunder, M Kotari
    University of Bahrain , 2024
    2024
    Citations: 1
  • TriChain: Kangaroo-Based Intrusion Detection for Secure Multipath Route Discovery and Route Maintenance in MANET Using Advanced Routing Protocol
    JRA Manjunath Kotari
    International Journal of Computer Networks and Applications (IJCNA) 11 (1 … , 2024
    2024
    Citations: 10
  • Advancements and Applications of Blockchain Technology: A Comprehensive Analysis
    DMK Monika L R , Priya D B , Punya N , Mohammed Adnan Akram
    International Journal of Advances in Computer Science and Technology 13 (1 … , 2024
    2024
  • Emerging Threats and Innovative Solutions in Cybersecurity: A Comprehensive Review
    DMK shi V K1 , Sanjeev R Gadag2 , Mohammed Uzair Pasha3 , Sushmitha E4
    International Journal of Advances in Computer Science and Technology 13 (1 … , 2024
    2024
  • A Survey on Customized Algorithm Approach for Solving Non-convex Optimization Problems in Machine Learning
    H Kunder, M Kotari
    International Conference on Computers, Management & Mathematical Sciences … , 2023
    2023
  • Dynamic Routing Using Petal Ant Colony Optimization for Mobile Ad-hoc Networks
    SBP Manjunath Kotari
    International Journal of Advanced Computer Science and Applications(IJACSA … , 2023
    2023
    Citations: 2
  • A Novel Framework for Network Based Secure Message Transmission Based on Fragmentation and Cryptography
    JA Rathod, M Kotari
    2022 4th International Conference on Circuits, Control, Communication and … , 2022
    2022
    Citations: 1
  • Data Warehouse Security Threats and Issues
    DMK Akash1, Nihal Rafeeq2, Tushith Shukla3, T. K Koushik Chinnappa4
    International Journal of Advanced Research in Science, Communication and … , 2022
    2022
  • Cyberbullying in online/e-learning platforms based on social networks
    N Balaji, BH Karthik Pai, K Manjunath, B Venkatesh, N Bhavatarini, ...
    Intelligent Sustainable Systems: Selected Papers of WorldS4 2021, Volume 2 … , 2021
    2021
    Citations: 12
  • Integration of MQTT Protocol with Map APIs for Smart Garbage Management
    NUB Manjunath Kotari
    2021 IEEE International Conference on Distributed Computing, VLSI … , 2021
    2021
  • Integration of MQTT Protocol with Map APIs for Smart Garbage Management
    UB Nagesh, M Kotari, SC Chethan
    2021 IEEE International Conference on Distributed Computing, VLSI … , 2021
    2021
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Secure and efficient message transmission in MANET using hybrid cryptography and multipath routing technique
    JA Rathod, M Kotari
    Multimedia Tools and Applications 84 (13), 12633-12656 , 2025
    2025
    Citations: 17
  • Investigation of security issues in distributed system monitoring
    M Kotari, NN Chiplunkar
    Handbook of Computer Networks and Cyber Security: Principles and Paradigms … , 2020
    2020
    Citations: 13
  • Cyberbullying in online/e-learning platforms based on social networks
    N Balaji, BH Karthik Pai, K Manjunath, B Venkatesh, N Bhavatarini, ...
    Intelligent Sustainable Systems: Selected Papers of WorldS4 2021, Volume 2 … , 2021
    2021
    Citations: 12
  • Driver Drowsiness Detection using Machine Learning Approach
    PB Murdeshwar, ST Salian, S Reddy, DS Sharath, M Kotari
    2019
    Citations: 11
  • TriChain: Kangaroo-Based Intrusion Detection for Secure Multipath Route Discovery and Route Maintenance in MANET Using Advanced Routing Protocol
    JRA Manjunath Kotari
    International Journal of Computer Networks and Applications (IJCNA) 11 (1 … , 2024
    2024
    Citations: 10
  • Framework of Security Mechanisms for Monitoring Adaptive Distributed Systems
    K Manjunath, C Niranjan N, N HR
    IOSR Journal of Computer Engineering (IOSR-JCE) 18 (4), 25-36 , 2016
    2016
    Citations: 10
  • Water Tank Monitoring System
    N Dr.Manjunath Kotari, Sudarshan G
    International Journal of Engineering Research & Technology(IJERT) 7 (8), 1-4 , 2019
    2019
    Citations: 7
  • An Approach for Adaptive Load Balancing Using Centralized Load Scheduling in Distributed Systems
    MM Mathias, M Kotari
    International Journal of Innovative Research in Computer and Communication … , 2015
    2015
    Citations: 3
  • IoT-Enabled Cargo Shipment Management: Real-Time Tracking and Optimization in Global Logistics
    M Kotari, SK Bharathesh, BS Naik, KA Shetty, AS Shetty
    2025 International Conference on Intelligent Control, Computing and … , 2025
    2025
    Citations: 2
  • Dynamic Routing Using Petal Ant Colony Optimization for Mobile Ad-hoc Networks
    SBP Manjunath Kotari
    International Journal of Advanced Computer Science and Applications(IJACSA … , 2023
    2023
    Citations: 2
  • A Survey on Detection and Analysis of Cyber Security Threats Through Monitoring Tools
    M Kotari, NN Chiplunkar
    Handbook of Research on Intrusion Detection Systems, 77-104 , 2020
    2020
    Citations: 2
  • Application of IoT in Deep Water Culture
    RKR Dr.Manjunath Kotari
    International Journal of Research in Engineering, Science and Management 2 … , 2019
    2019
    Citations: 2
  • Security Aspects of Adaptive Distributed Systems and proposed solutions by ANUSANDHANA-Journal of Science
    M Kotari, NN Chiplunkar, HR Nagesh
    Engineering and Management 1, 45-49 , 2012
    2012
    Citations: 2
  • Petal region analysis of improved petal ant routing for mobile ad hoc networks
    BP Sathyaprakash, M Kotari
    SN Computer Science 5 (5), 529 , 2024
    2024
    Citations: 1
  • Exploration of non-convex optimization challenges across diverse data sets using machine learning and deep learning methods
    H Kunder, M Kotari
    University of Bahrain , 2024
    2024
    Citations: 1
  • A Novel Framework for Network Based Secure Message Transmission Based on Fragmentation and Cryptography
    JA Rathod, M Kotari
    2022 4th International Conference on Circuits, Control, Communication and … , 2022
    2022
    Citations: 1
  • Integration of MQTT Protocol with Map APIs for Smart Garbage Management
    UB Nagesh, M Kotari, SC Chethan
    2021 IEEE International Conference on Distributed Computing, VLSI … , 2021
    2021
    Citations: 1
  • Implementation of secure customized monitoring tool for adapative distributed systems
    M Kotari, NN Chiplunkar, HR Nagesh
    2014 International Conference on Contemporary Computing and Informatics … , 2014
    2014
    Citations: 1
  • Monitoring and its Impacts over Distributed Systems and Possible Solutions
    DNN Manjunath Kotari, HR Nagesh
    International Journal of Computer Science and Mobile Computing 2 , 2013
    2013
    Citations: 1
  • VLSI CAD
    NN CHIPLUNKAR, M KOTARI
    PHI Learning Pvt. Ltd. , 2011
    2011
    Citations: 1