DR. Deepak N R

@atria.edu.in

Professor & Head, Dept of Information Science & Engineering
Atria Institute of Technology

DR. Deepak N R


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https://researchid.co/deepaknrgowda
Working as Professor& Head in the Information Science & Engineering Department, Atria Institute of Technology. Motivating and Talented Sociological professor driven to inspire students to pursue academic and personal excellence. Consistently strive to create a challenging and engaging learning in which students become life-long scholar and learner. Deeply invested in achieving tenure through administrative service committee contributions and an accomplishment oriented approach to teaching.

EDUCATION

BE., M.Tech., PhD.

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence, Computer Science Applications, Computer Networks and Communications
33

Scopus Publications

187

Scholar Citations

7

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • VisCura: Comprehensive AI-Assisted Early Detection and Diagnostic Enhancement System for Pancreatic Cancer
    Priyanka V. C, Rinku Duhan, K. S. Ananda Kumar, Deepak N. R.
    2026 2nd International Conference on Computing for Sustainability and Intelligent Future Comp Sif 2026, 2026
  • A Survey on the Pixel-Based Image Segmentation Techniques with the Intent of Optimization of System Throughput in the Field of Automation
    Ayesha Anjum, Maaz Ahmed, N R Deepak
    2025 International Conference on Automation and Computation Autocom 2025, 2025
    Semantic segmentation, being one of the Computer Vision approaches, helps in portioning every object in an image, which makes it a good candidate that can be used in various applications like Medical Imaging and Autonomous vehicles. In the Medical field, clear analysis of images like MRI, CT scan, provides the accuracy in identifying the issue and to give proper medications. In the similar way, the pel-based segmentation (semantic segmentation) when used in identifying the objects on roads to ease the driving process requires computations in a precise way and often tend to use neural networks. These networks perform well when the size and amount of data is less but when it comes to training high resolution and larger amounts of data, it results in reduced flexibility of the desired implementation, thereby reducing its efficacy. In this work, the insights of methods and techniques used in the process of semantic segmentation in automation and the medical field is reviewed with the objective of providing a precise summary of techniques that can be used for selecting the best method to achieve best results. The findings of the comparison study shows that the COCO dataset has a large number of images and when used with efficient network architecture with criteria to segment, it can outperform. The contribution of this survey in the field of semantic segmentation outperforms by providing the precise description of deep learning techniques, listing out the complexities and associated techniques to reduce them, and summarizing associated datasets. comparison analysis of techniques to achieve accuracy with less computations.
  • Real-Time Detection of Unusual Activities Using CNN and Deep Learning
    Manjula K, Chaitra R, K S Anand Kumar, Deepak N R
    3rd IEEE International Conference on Networks Multimedia and Information Technology Nmitcon 2025, 2025
    With the evolution of technologies like artificialintelligence and machine learning and deep learning, video surveillance is increasing in today's globalised society. Using these technologies enables the real-time identification of suspicious behavior. Because human behavior is unpredictable, it is difficult to metamorphose between actions that are normal and suspicious. Convolutional neural networks (CNNs) are employed by this system to identify human movements into two categories: suspicious (e.g., fighting, and theft), and normal (e.g., sitting, walking, jogging, and hand waving). Following the use of sophisticated algorithms to derive high-level information from images, CNN processes the images through a sequence of classification layers. The last step is to employ the results from the pooling layer to make accurate predictions. Real Time Software Identifies Weapons (Guns, Knives) Real Time Through Cameras on Laptops& Desktops. Assists in Examining Suspicious Behavior. Warns Remote User Through Automated Alert to Registered Mobile Device.
  • Performance Evaluation of Back Propagation Algorithm Neural Network for Weather Prediction using Classification Techniques
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Stress Detection in Professionals using Mobile-Net-based CNN and Multi-Modal Analysis
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • InsightScan Survey Real-Time Network Mapping and Enumeration
    Pathipati Rajeev Lokesh, T U Tridan, Malini R, Dharani Kumar Chowdary Mirapalli, Deepak N R
    Proceedings of 2025 International Conference on Computing for Sustainability and Intelligent Future Comp Sif 2025, 2025
    The digital infrastructures are expanding exponentially. Along with the new technology, highly complex cyber threats are in the wake. What is so required now? Real time network mapping and vulnerability scan is a high priority area. InsightScan integrates the adaptive design combined with cross-platform compatibility as well as session persistence while remaining friendly to the users . This paper reviews scanning and enumeration tools such as Nmap, Nikto, Sqlmap, Eyewitness, Gobuster , Enum4linux , Dnsenum and places InsightScan as an innovative solution for cybersecurity professionals. Based on the study of Approach for Cyber Security Vulnerability Assessment Based on Open Source Tools, this paper details InsightScan features, benefits, and real-world application, making it suitable for CTF events, penetration testing, and real-time network administration [6].
  • Enhancing Vigilance through Color-Coded Game
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Evaluation on Mitigating Cyber Attacks and Securing Sensitive Information using Decentralized Security
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Harnessing Random Forest Classifiers and TF-IDF Vectorization: A Text-Based Approach to Detect Stress and Analyze Mental Health Using Artificial Intelligence
    Mohammed Emadulla A, Tabrez Shariff, Sabqath Ahmed Siddique, Syed Zaid, Deepak N R, Omprakash B
    International Conference on Smart Systems for Applications in Electrical Sciences Icsses 2025, 2025
    As we live in the digital age, the importance of stress detection research lies in the fact that people's interactions on social networking platforms and messaging services accurately reflect their emotional moods and mental health. Similarly to that, an attempt to develop an ML model that can identify human stress levels is made by analyzing the written records obtained from social media. This proposed system chooses a keyword-based method to detect a specific stress indicator statement and compare it with a given data set. The textual data are then preprocessed and vectorized based on the TFIDF method to detect meaningful patterns in the text data. The data were classified as stressed or non-stressed by a Random Forest Classifier with probabilities indicating the intensity of stress. To generate valuable insights by listening to the people's voices, which could help detect stress-based disorders in the early stages, this approach works with data obtained from online sources in compliance with ethical standards and general rule privacy. In conclusion, this study illuminates how AI-driven systems can enhance mental health awareness and intervention by implementing a holistic stress detection instrument using natural language processing approaches and machine learning methodologies.
  • Enhancing Crop Disease Prediction: A Hybrid Approach Integrating Deep Learning, Ensemble Methods, and Explainable AI
    Yash Raj Suman, Mb Varun, G Sathiya Prakash, Hs Nithin, N R Deepak, B Omprakash
    Proceedings of 3rd IEEE International Conference on Knowledge Engineering and Communication Systems Ickecs 2025, 2025
    This review examines how hybrid models, grouped learning, and explain/reason-able AI can enhance the sensing and detection of crop diseases, which is vital for increasing farm productivity and ensuring global food security. A novel approach combining ResNet50 and VGG16 provides high accuracy in detecting diseases in crops such as cashew, tomato, cassava, and maize. By employing grouping techniques with tools like CNN, ResNeXt, and InceptionV3, the system turned out remarkably more effective by combining their individual strengths. To build trust, the research also incorporates explainable AI methods like S.H.A.P and L.I.M.E, which help farmers and experts understand how the AI arrives at its predictions. Incorporating weather data, such as temperature and humidity, further enhances the system’s accuracy, as these factors play a vital role in how diseases spread. This approach not only delivers accurate results but also emphasizes the importance of transparency in AI tools. By combining advanced technology with clear explanations, this study showcases how AI can help manage crop diseases sustainably, supporting farmers to ensure a stable food supply for the future. This unique method has the potential to change farming practices, reduce crop losses, and contribute to global food security.
  • Gesture Recognition using IR Sensor Camera
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Predicting Credit Card Default with Machine Learning Algorithm
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Machine Learning-based Crop Analysis Prediction using Environmental Factors
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Comparative Analysis of Flood Prediction Using Linear Regression
    Shreya Krishna, Roopa S Choukimath, Pavani C V, Ookoti Sri Charitha, Deepak N R, Omprakash B
    Proceedings of 2025 International Conference on Computing for Sustainability and Intelligent Future Comp Sif 2025, 2025
  • Enhancing Poker Hand Recognition via Flask Application Deployment and Feedforward Neural Networks
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Seizure Prediction using Machine Learning
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Applying Machine Learning Algorithms for the Classification of Sleep Disorders
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • A Wearable Vest for Fall Detection and Protection with the Help of Motion Sensing
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Multiple Skeleton Recognition Using Kinect
    H. N. Usha, N. R. Deepak, B. P. Pradeep Kumar, B. N. Mithun, Theodore Jesudas E. Dandin, R. Puneeth
    Lecture Notes in Networks and Systems, 2025
  • Predicting The Risk of Cardiac Arrest: Critical and Comprehensive Analysis Employing Advanced Data Extraction Methodologies
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Heart Disease Prediction using Logistic Regression
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • On-Road Drivers and People with Visual Impairments: Real-Time Machine Learning-based Speed Breaker and Pothole Detection
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Campus Surveillance with Violence Insight and Suspect Profiling: A Survey
    Ceur Workshop Proceedings, 2024
  • LipNET: END-to-ENDLEVEL of Visual and Video Lip Reading using CNN Network
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Virtual Reality and AIML-Powered History Guides for Immersive Education and Tourism: A Survey
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • An Automatic Detection of Counterfeit or Damaged Indian Rupee Notes
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Navigating Breakthroughs in Pediatric Brain Stroke Detection: A Comprehensive Survey
    N R Deepak, Santosh Kumar Paital, Saritha Verma, Tenzin Choeyang, Udit Kumar Singh, Bhavya
    2024 International Conference on Knowledge Engineering and Communication Systems Ickecs 2024, 2024
  • Estimating the State of Health of Lithiumion Batteries using Support Vector Regression
    Suhas G K, Ashwini Singh S, Trupthi V, Keerthishree P V, Deepak N R, Loganathan R
    3rd IEEE International Conference on Mobile Networks and Wireless Communications Icmnwc 2023, 2023
  • Crop prediction based on influencing parameters for different states in india- The data mining approach
    Kiran M P, Deepak N R
    Proceedings 5th International Conference on Intelligent Computing and Control Systems Iciccs 2021, 2021
  • A Convenient Machine Learning Model for Cyber Security
    Thanuja N, Deepak N R
    Proceedings 5th International Conference on Computing Methodologies and Communication Iccmc 2021, 2021
  • A novel approach towards dynamic and scalable video data communication using OFDMA and C-OFDMA schemes over wireless 4g networks
    Journal of Advanced Research in Dynamical and Control Systems, 2018
  • Performance analysis of MIMO-based transmission techniques for image quality in 4G wireless network
    N. R Deepak, S. Balaji
    2015 IEEE International Conference on Computational Intelligence and Computing Research Iccic 2015, 2016
  • Uplink channel performance and implementation of software for image communication in 4G network
    N. R. Deepak, S. Balaji
    Advances in Intelligent Systems and Computing, 2016

RECENT SCHOLAR PUBLICATIONS

  • Joint angle prediction and joint-type classification in human gait analysis using explainable deep reinforcement learning
    NR Deepak, S Naik, PR Ambika, SS Ahamed
    Indonesian Journal of Electrical Engineering and Computer Science 41 (2 … , 2026
    2026
  • FlowCast: A simple method for traffic prediction
    MPD Dechamma, M Ananya, M Chandrika, NP Anusha, NR Deepak, ...
    Engineering Science and Technology: Innovations for the Future, 28-36 , 2025
    2025
  • Real-Time Detection of Unusual Activities Using CNN and Deep Learning
    K Manjula, R Chaitra, AK KS, NR Deepak
    2025 Third International Conference on Networks, Multimedia and Information … , 2025
    2025
    Citations: 1
  • Enhancing Crop Disease Prediction: A Hybrid Approach Integrating Deep Learning, Ensemble Methods, and Explainable AI
    YR Suman, M Varun, GS Prakash, H Nithin, NR Deepak, B Omprakash
    2025 International Conference on Knowledge Engineering and Communication … , 2025
    2025
    Citations: 1
  • A Survey on the Pixel-Based Image Segmentation Techniques with the Intent of Optimization of System Throughput in the Field of Automation
    A Anjum, M Ahmed, NR Deepak
    2025 International Conference on Automation and Computation (AUTOCOM), 7-14 , 2025
    2025
    Citations: 6
  • Multiple Skeleton Recognition Using Kinect
    HN Usha, NR Deepak, BP Pradeep Kumar, BN Mithun, TJE Dandin, ...
    International Conference on Data Science, Computation and Security, 419-429 , 2024
    2024
  • Challenges and Innovations in Routing for Flying Ad Hoc Networks: A Survey of Current Protocols.
    D NR
    Journal of Computational Analysis & Applications 33 (2) , 2024
    2024
  • Evaluation on Mitigating Cyber Attacks and Securing Sensitive Information with the Adaptive Secure Metaverse Guard (ASMG) Algorithm Using Decentralized Security.
    D NR
    Journal of Computational Analysis & Applications 33 (2) , 2024
    2024
    Citations: 6
  • Challenges and innovations in routing for flying ad hoc networks: A survey of current protocols
    S Rezni, NR Deepak
    journal of computational analysis and Applications (JoCAAA) 33 (2), 64-74 , 2024
    2024
    Citations: 7
  • On-Road Drivers and People with Visual Impairments: Real-Time Machine Learning-based Speed Breaker and Pothole Detection.
    GK Suhas, NR Deepak
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024
  • An Automatic Detection of Counterfeit or Damaged Indian Rupee Notes.
    NR Deepak, N Yasmeen, OI Amin, AK Sahu, GK Suhas
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024
  • Virtual Reality and AIML-Powered History Guides for Immersive Education and Tourism: A Survey.
    NR Deepak, K Das, ND Kushi, MO Imtiaz, NF Khanum
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024
  • LipNET: END-to-ENDLEVEL of Visual and Video Lip Reading using CNN Network.
    NR Deepak, S Pal, DY Abhishek, D Vishal, K Jayasurya
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024
  • Campus Surveillance with Violence Insight and Suspect Profiling: A Survey.
    NR Deepak, SK Paital, U Kulsum, S Afreen, S Verma
    SCI, 138-149 , 2024
    2024
    Citations: 1
  • Navigating Breakthroughs in Pediatric Brain Stroke Detection: A Comprehensive Survey
    NR Deepak, SK Paital, S Verma, T Choeyang, UK Singh
    2024 International Conference on Knowledge Engineering and Communication … , 2024
    2024
    Citations: 3
  • Estimating the State of Health of Lithiumion Batteries using Support Vector Regression
    GK Suhas, A Singh, V Trupthi, PV Keerthishree, NR Deepak, ...
    2023 3rd International Conference on Mobile Networks and Wireless … , 2023
    2023
    Citations: 2
  • A Review on Fake currency detection using feature extraction
    D NR
    Available at SSRN 4041599 , 2022
    2022
    Citations: 18
  • A Framework for Food recognition and predicting its Nutritional value through Convolution neural network
    D NR, DS GK, DP Kumar Pareek
    Proceedings of the International Conference on Innovative Computing … , 2022
    2022
    Citations: 43
  • A review on fake currency detection using feature extraction
    N Yasmeen, S Nida, N Fathima, M Aftab, NR Deepak
    International Journal of Modern Developments in Engineering and Science 1 (5 … , 2022
    2022
    Citations: 4
  • Smart City for Future: Design of Data Acquisition Method using Threshold Concept Technique
    NR Deepak, N Thanuja
    International Journal of Engineering and Advanced Technology 11 (1), 251 - 256 , 2021
    2021
    Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

  • A Framework for Food recognition and predicting its Nutritional value through Convolution neural network
    D NR, DS GK, DP Kumar Pareek
    Proceedings of the International Conference on Innovative Computing … , 2022
    2022.0
    Citations: 43
  • Performance analysis of MIMO-based transmission techniques for image quality in 4G wireless network
    NR Deepak, S Balaji
    2015 IEEE international conference on computational intelligence and … , 2015
    2015.0
    Citations: 25
  • A Review on Fake currency detection using feature extraction
    D NR
    Available at SSRN 4041599 , 2022
    2022.0
    Citations: 18
  • Crop prediction based on influencing parameters for different states in india-the data mining approach
    MP Kiran, NR Deepak
    2021 5th International Conference on Intelligent Computing and Control … , 2021
    2021.0
    Citations: 16
  • A convenient machine learning model for cyber security
    N Thanuja, NR Deepak
    2021 5th international conference on computing methodologies and … , 2021
    2021.0
    Citations: 12
  • Uplink Channel Performance and Implementation of Software for Image Communication in 4G Network
    NR Deepak, S Balaji
    International Conference on Information and Communication Technology for … , 2016
    2016.0
    Citations: 12
  • A Review of Techniques used in EPS and 4G-LTE in Mobility Schemes
    NR Deepak, S Balaji
    International Journal of Computer Applications 109 (9) , 2015
    2015.0
    Citations: 12
  • Challenges and innovations in routing for flying ad hoc networks: A survey of current protocols
    S Rezni, NR Deepak
    journal of computational analysis and Applications (JoCAAA) 33 (2), 64-74 , 2024
    2024.0
    Citations: 7
  • A Survey on the Pixel-Based Image Segmentation Techniques with the Intent of Optimization of System Throughput in the Field of Automation
    A Anjum, M Ahmed, NR Deepak
    2025 International Conference on Automation and Computation (AUTOCOM), 7-14 , 2025
    2025.0
    Citations: 6
  • Evaluation on Mitigating Cyber Attacks and Securing Sensitive Information with the Adaptive Secure Metaverse Guard (ASMG) Algorithm Using Decentralized Security.
    D NR
    Journal of Computational Analysis & Applications 33 (2) , 2024
    2024.0
    Citations: 6
  • Smart City for Future: Design of Data Acquisition Method using Threshold Concept Technique
    NR Deepak, N Thanuja
    International Journal of Engineering and Advanced Technology 11 (1), 251 - 256 , 2021
    2021.0
    Citations: 5
  • Bhagappa (2021, Nov). The Smart Sailing Robot for Navigational Investigation is Used to Explore all the Details on the Zone of the Water Pura
    NR Deepak, S GK
    Indian Journal of Signal Processing (IJSP) 1 (4) , 0
    Citations: 5
  • A review on fake currency detection using feature extraction
    N Yasmeen, S Nida, N Fathima, M Aftab, NR Deepak
    International Journal of Modern Developments in Engineering and Science 1 (5 … , 2022
    2022.0
    Citations: 4
  • e-Voting System using Finger print and Face Recognition Authentication with Blockchain
    NR Deepak, S Taj, S Khizer, S Waqeer, T Fathima
    Journal of Advances in Computational Intelligence Theory 3 (3) , 2021
    2021.0
    Citations: 4
  • Navigating Breakthroughs in Pediatric Brain Stroke Detection: A Comprehensive Survey
    NR Deepak, SK Paital, S Verma, T Choeyang, UK Singh
    2024 International Conference on Knowledge Engineering and Communication … , 2024
    2024.0
    Citations: 3
  • Prediction of cardiac diseases using machine learning algorithms
    J Suneetha, H Tabassum, P Chavan, NR Deepak
    International Conference on Soft Computing and Signal Processing, 11-22 , 2021
    2021.0
    Citations: 3
  • Estimating the State of Health of Lithiumion Batteries using Support Vector Regression
    GK Suhas, A Singh, V Trupthi, PV Keerthishree, NR Deepak, ...
    2023 3rd International Conference on Mobile Networks and Wireless … , 2023
    2023.0
    Citations: 2
  • Real-Time Detection of Unusual Activities Using CNN and Deep Learning
    K Manjula, R Chaitra, AK KS, NR Deepak
    2025 Third International Conference on Networks, Multimedia and Information … , 2025
    2025.0
    Citations: 1
  • Enhancing Crop Disease Prediction: A Hybrid Approach Integrating Deep Learning, Ensemble Methods, and Explainable AI
    YR Suman, M Varun, GS Prakash, H Nithin, NR Deepak, B Omprakash
    2025 International Conference on Knowledge Engineering and Communication … , 2025
    2025.0
    Citations: 1
  • Campus Surveillance with Violence Insight and Suspect Profiling: A Survey.
    NR Deepak, SK Paital, U Kulsum, S Afreen, S Verma
    SCI, 138-149 , 2024
    2024.0
    Citations: 1

INDUSTRY EXPERIENCE

Working as Software Engineer for Automation Testing Domain