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Prof. Earnest Paul Ijjina

Assistant Professor Gr-I

Department of Computer Science and Engineering

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Information

Room No: CS159 +91-870-2462725 iep@nitw.ac.in Bio Sketch

    Key Notes

    • Journal(s): 9
    • Conference(s): 15
    • Book Chapter(s): 6
    • PhD: Current - 5  Awarded - 1
    • Event(s) Organized:  Workshop - 4

    30

    PUBLICATIONS

    6

    DOCTORAL STUDENTS

    Research Areas

    Artificial Intelligence
    Computer Vision
    Deep Learning
    Soft Computing
    Virtual Reality(VR) and Augmented Reality(AR)
    EDUCATION QUALIFICATION
    Degree Institute Year
    Doctor of Philosophy Indian Institute of Technology (IIT), Hyderabad 2017
    Master of Technology Indian Institute of Technology (IIT), Kharagpur 2007
    Bachelor of Technology Jawaharlal Nehru Technological University (JNTU), Hyderabad 2005
    COURSES HANDLED
    Course L-T-P Credit Degree Level
    Data Structures(CS1M01) 2-0-2 2 UG
    Python Programming(CS2203) 3-0-0 3 UG
    Data Structures(CS182) 3-0-2 4 UG
    Data Structures and Practice(CS1162) 3-0-2 4 UG
    Data Structures (CSM01) 2-0-2 3 UG
    Virtual Reality and Augmented Reality(CS467) 3-0-0 3 UG
    Artificial Intelligence(CS315) 3-0-0 3 UG
    Operating System Concepts(CS5302) 3-0-0 3 PG
    Data Structures(CS4352) 3-0-0 3 PG
    Mathematics for Computer Science(CS5102) 1-1-0 2 PG
    Computer Game Development and Animation(CS4304) 0-1-2 2 PG
    Computational Mathematics Practice(CS5204) 1-1-2 3 PG
    RESEARCH IDs
    ORCID
    ORC ID
    Scopus
    SCOPUS ID
    Google Scholar
    Google Scholar ID
    PUBLICATIONS
    Journal(s)
    An improved genetic algorithm based deep learning model with you only look once framework for driver distraction detection, By Medipelly Rampavan, Earnest Paul Ijjina, Elsevier, Engineering Applications of Artificial Intelligence, vol.Volume 160, Part B, pp.111932, 2025
    MNASreID: grasshopper optimization based neural architecture search for motorcycle re-identification, By Medipelly Rampavan, Earnest Paul Ijjina, Springer London, Signal, Image and Video Processing, vol.19, Issue 1, pp.138, 2024
    Person re-identification using vision transformer and centroid triplet loss, By Earnest Paul Ijjina, Rampavan Medipelly, Santosh Kumar Beerukuri, Sowmya Vinnakota & Vijay Chowdary Nelakurthi , Springer US, Multimedia Tools and Applications, vol.83, Issue 29, pp.73777-73788, 2024
    Brake Light Detection of Vehicles Using Differential Evolution Based Neural Architecture Search, By Medipelly Rampavan, Earnest Paul Ijjina, Elsevier, Applied Soft Computing, vol.147, pp.110839, 2023
    Genetic brake-net: Deep learning based brake light detection for collision avoidance using genetic algorithm, By Medipelly Rampavan, Earnest Paul Ijjina, Elsevier, Knowledge-Based Systems, vol.264, pp.110338, 2023
    Human action recognition in RGB-D videos using motion sequence information and deep learning, By Earnest Paul Ijjina, C. Krishna Mohan, Elsevier, Pattern Recognition, vol.72, pp.504-516, 2017
    Hybrid deep neural network model for human action recognition, By Earnest Paul Ijjina, C. Krishna Mohan, Elsevier, Applied Soft Computing, vol.46, pp.936-952, 2016
    Human action recognition using genetic algorithms and convolutional neural networks, By Earnest Paul Ijjina, C. Krishna Mohan, Elsevier, Pattern Recognition, vol.59, pp.199-212, 2016
    Classification of human actions using pose-based features and stacked auto encoder, By Earnest Paul Ijjina, C. Krishna Mohan, Elsevier, Pattern Recognition Letters, vol.83, Part 3, pp.268-277, 2016
    Conference(s)
    Fusion of Deep Learning models trained using transfer learning for Classification of Rice Variety By Earnest Paul Ijjina, International Conference on Robotics, Communication and Soft Computing (RCSC), 2025
    Image classification with and without Image background using Vision Transformer By Earnest Paul Ijjina, International Conference on Robotics, Communication and Soft Computing (RCSC), 2025
    Evaluation of Vision Transformer with augmented data for Classification of Medical Flowers By Earnest Paul Ijjina, 6th Congress on Intelligent Systems (CIS 2025), 2025
    Evaluation of Deep Learning Model using Optimal Rotationally Transformed Data for the Detection of Age-related Macular Degeneration By Earnest Paul Ijjina, International Conference on Signal Processing and Computer Vision (SIPCOV 2025), 2025
    Deep Learning based Brake Light Detection for Two Wheelers By G. Kumar, M. Rampavan and Earnest Paul Ijjina, IEEE International Conference on Computing Communication and Networking Technologies (ICCCNT 2021), 2021
    Recognizing Human Actions in Video using Motion History Image and Deep Learning By P. S. Chandragiri and Earnest Paul Ijjina, IEEE International Conference on Computing Communication and Networking Technologies (ICCCNT 2021), 2021
    Customer Analytics using Surveillance Video By Earnest Paul Ijjina, Aniruddha Srinivas Joshi, Goutham Kanahasabai, and Keerthi Priyanka P, IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT 2020), 2020
    Detection of Customer Interested Garments in Surveillance Video using Computer Vision By Earnest Paul Ijjina, Aniruddha Srinivas Joshi, and Goutham Kanahasabai, IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT 2020), 2020
    Deep Learning based approach to detect Customer Age, Gender and Expression in Surveillance Video By Earnest Paul Ijjina, Goutham Kanahasabai and Aniruddha Srinivas Joshi, IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT 2020), 2020
    Computer Vision-based Accident Detection in Traffic Surveillance By Earnest Paul Ijjina, Dhananjai Chand, Savyasachi Gupta and Goutham K, IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT 2019), 2019
    Accident detection from dashboard camera video By Earnest Paul Ijjina and Sanjay Kumar Sharma, IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT 2019), 2019
    Hand gesture recognition based on saliency and foveation features using convolutional neural network By Earnest Paul Ijjina, International Conference on Computational Intelligence and Informatics (ICCII 2018), 2018
    Action recognition using motion history information and convolutional neural networks By Earnest Paul Ijjina, International Conference on Computational Intelligence and Informatics (ICCII 2018), 2018
    Human fall detection using temporal templates and convolutional neural networks By Earnest Paul Ijjina, International Conference on Computational Intelligence and Informatics (ICCII 2018), 2018
    Action recognition in sports videos using stacked auto encoder and HOG3D features By Earnest Paul Ijjina, International Conference on Computational Intelligence and Informatics (ICCII 2018), 2018
    Book Chapter(s)
    A light-weight Deep Learning model for plant disease detection in hyperautomation By Earnest Paul Ijjina, Suresh Babu and Victoria Susan in Hyperautomation in Precision Agriculture: Advancements and Opportunities for Sustainable Farming, Elsevier, Reference, 2024
    A Fast Garbage Classification Model Based on Deep Learning By Rampavan Medipelly and Earnest Paul Ijjina in IoT-Based Smart Waste Management for Environmental Sustainability, CRC Press, Taylor & Francis Group, Reference, 2022
    Intelligent Garment Detection using Deep Learning By S. Joshi, S. Gupta, G. Kanahasabai and Earnest Paul Ijjina in Handbook of Intelligent Computing and Optimization for Sustainable Development, Wiley-Scrivener Publishing, Reference, 2022
    Human Fall Detection in Depth-Videos using Temporal Templates and Convolutional Neural Networks By Earnest Paul Ijjina in Artificial Intelligence and Assistive Technologies, Springer, Reference, 2021
    Video based accident detection of Cars By Earnest Paul Ijjina in Autonomous Driving and Driver Assistance, CRC Press, Taylor & Francis Group, Reference, 2021
    Evolutionary deep learning for human behavioral analysis By Earnest Paul Ijjina, C. Krishna Mohan in Hybrid Intelligence for Image Analysis and Understanding, John Wiley & Sons, Reference, 2017
    PROJECT / CONSULTANCY
    RESEARCH FELLOWS / PhD STUDENTS
    Current PhD Students
    F1. MANOJA RANI B
    Area of Research: Medical Image Analysis using Deep Learning
    P1. Satya Shekar Varma P (Part-time)
    Area of Research: Deep Learning for Medical Image Analysis
    P2. Sunny Nalluri (Part-time)
    Area of Research: Deep Learning for Satellite Image Processing
    P3. Raghavendra Swamy U (Part-time)
    Area of Research: Medical Image Analysis using Deep Learning
    P4. Naresh Goud M (Part-time)
    Area of Research: Computer Vision
    Previous PhD Students
    F1. Medipelly Rampavan (2024)
    Area of Research: Deep Learning for smart traffic surveillance
    CONFERENCE / WORKSHOP / SYMPOSIUM / SHORT TERM COURSE / FACULTY DEVELOPMENT PROGRAMME
    FDP on End-to-End Solutions on IoT Security: Research Perspectives
    03-Jun-2024 → 13-Jun-2024
    Event Type: Workshop
    Role: Co‑coordinator
    Funding Agency: Electronics and ICT Academy
    FDP on Fundamentals and Applications of Quantum Computing: Tools and Techniques
    19-May-2025 → 29-May-2025
    Event Type: Workshop
    Role: Co‑coordinator
    Funding Agency: Electronics and ICT Academy
    FDP on Introduction to Quantum Computing
    13-Oct-2025 → 18-Oct-2025
    Event Type: Workshop
    Role: Co‑coordinator
    Funding Agency: CTL, NIT Warangal
    FDP on Introduction to Quantum Computing
    10-Nov-2025 → 15-Nov-2025
    Event Type: Workshop
    Role: Co‑coordinator
    Funding Agency: CTL, NIT Warangal
    ADDITIONAL RESPONSIBILITIES
    •  Faculty-In-Charge, AMC for Computer Hardware (Continuing from May, 2023)
    •  FIC Departmental Results Processing Committee Member (May, 2021 - July, 2023)
    •  Faculty Advisor (July, 2020 - November, 2025)
     Last updated on November 30, 2025