...
  • home
  • Institute
    • About Us
    • Vision and Mission
    • Key Documents
    • Institute Facilities
    • Visiting NITW
    • Institute Seminars
    • Giving Back
  • Administration
    • Chairperson
    • Director
    • Deans
    • Registrar
    • Heads
    • Professor In-charges
    • CVO
    • Officers
    • Committees
    • BWC/FC/BoG
    • Statutory Policies
    • Hindi Cell
  • Academics
    • Academic Calendar
    • Academic Cell
    • Academic Forms
    • Academic Programs
    • Academic Regulations
    • Academic Services
    • Admissions
    • Anti-Plagiarism Policy
    • Central Library
    • Convocation
    • Departments
    • Examination Section
    • Integrated Teacher Education Programme
    • MeitY - Visvesvaraya
    • Senate
    • Support Centres
    • Time Tables
  • R&D
    • SRIC Cell
    • Research Centres and Facilities
    • Startup
    • Patent
    • MoU
    • International Relations
    • Research Advisory Committee
    • Research Development Committee
    • Newsletter
    • I-STEM
  • Students
    • Student Welfare
    • Hall of Residence
    • Anti Ragging
    • Student Disciplinary Manual
    • Students Counseling Services
    • Centre for Mental Health and Wellness
    • Students' Grievance Redressal
  • Alumni
    • Centre for Alumni Relations
    • Giving Back
    • Alumni Connect
  • ...
  • ...

Prof. Ramalingaswamy Cheruku

Assistant Professor Gr-I

Department of Computer Science and Engineering

Edit Profile

Information

Room No: 134, Ground Floor, New CSE Building (EICT Building) +91-870-2462710 rmlswamy@nitw.ac.in https://sites.google.com/view/ramalingaswamycheruku Bio Sketch

    Key Notes

    • Journal(s): 44
    • Conference(s): 24
    • Book Chapter(s): 4
    • PhD: Current - 5  Awarded - 2

    72

    PUBLICATIONS

    7

    DOCTORAL STUDENTS

    1

    PROJECT

    3

    PATENTS

    Research Areas

    Machine Learning, Brain Computer Interface
    Optimization, Deep Learning
    Smart Agriculture, Image Processing
    EDUCATION QUALIFICATION
    Degree Institute Year
    Doctor of Philosophy National Institute of Technology Goa (CFTI), Goa, India 2018
    Master of Technology ABV-IIIT Gwalior (CFTI), MP, India 2011
    Bachelor of Technology JNTU Kakinada (State University), AP, India 2008
    COURSES HANDLED
    Course L-T-P Credit Degree Level
    Design and Analysis of Algorithms(CS1203) 3-0-0 3 UG
    Statistical Tools Practice(CS2209) 0-1-2 2 UG
    Design and Analysis of Algorithms(CS204) 3-0-0 3 UG
    Linear Algebra, Calculus and Differential Equations(MA137) 3-0-0 3 UG
    Discrete Mathematics(CD16005) 3-0-0 3 PG
    Discrete Mathematics(CS36005) 3-0-0 3 PG
    Programming and Data Structures(CS1101) 3-0-0 3 UG
    Principles of Data Warehousing and Data Mining(CS5354) 3-0-0 3 PG
    Discrete Mathematics(CS2104) 3-0-0 3 UG
    Mathematical Foundations of Computer Science(CS4301) 3-0-0 3 PG
    Principles of Database Systems(CSM03) 2-0-2 3 UG
    Database Systems(CS4351) 3-0-0 3 PG
    Machine Learning(CS353) 3-0-0 3 UG
    Advanced Databases(CS5305) 3-0-0 3 PG
    Problem Solving and Computer Programming(CS181) 3-0-2 4 UG
    Discrete Mathematics(CS151) 3-0-2 4 UG
    RESEARCH IDs
    ORCID
    ORC ID
    Scopus
    SCOPUS ID
    Google Scholar
    Google Scholar ID
    PUBLICATIONS
    Journal(s)
    Gradient-Reversed Domain-Adaptive Multi-Modal Cross-Attention Network for Robust Face Anti-Spoofing, By Deepthi K, Ilaiah K, Ramalignaswamy Cheruku, IEEE, IEEE Transactions on Biometrics, Behavior, and Identity Science, vol., pp., 2026
    HSNet: A Novel Edge-Preserving Hierarchical Separable Network for Video Shadow Detection, By Hemraj Singh, Mridula Verma, Ramalingaswamy Cheruku, Springer, Circuits, Systems, and Signal Processing, vol.44, pp.3983–4012, 2025
    S2VSNet: Single Stage V-Shaped Network for Image Deraining & Dehazing, By Ragini, Prakash, Ramalingaswamy Cheruku, Elsevier, Digital Signal Processing, vol.156, pp., 2025
    DMFNet: Geometric Multi-Scale Pixel-level Contrastive Learning for Video Salient Object Detection, By Hemraj Singh, Mrudula Verma, Ramalingaswamy Cherku, 14, International Journal of Multimedia Information Retrieval, vol.2, pp., 2025
    DAMFNet: Breaking Computational Barriers in Video Salient Object Detection with Multi-Scale Deformable Appearance-Motion Fusion, By Hemraj, Mrudula, Ramalingaswamy Cherku, Springer, Arabian Journal of Science and Engineering, vol., pp. , 2025
    CCLHF-Net: Constrained Convolution Layer and Hybrid Features based SkipConnection Network for Image Forgery Detection, By Deepthi, Ilaiah K, Ramalignaswamy Cheruku, Springer, Arabian Journal of Science and Engineering, vol.50 (2), pp.825-834, 2025
    S2VSNet: Single stage V-shaped network for image deraining & dehazing, By Thatikonda Ragini, Kodali Prakash, Ramalinga Swamy Cheruku, Elsevier, Digital Signal Processing, vol.156, pp.104786, 2024
    Enhancing Disease Diagnosis Accuracy and Diversity through BA-TLBO Optimized Ensemble Learning, By Srinivas Arukonda, Ramalingaswamy Cheruku, Elsevier, Biomedical Signal Processing and Control, vol.., pp.0, 2024
    DSFNet: Video Salient Object Detection using A Novel Lightweight Deformable Separable Fusion Network, By Hemraj, Mrudula Verma, Ramalingaswamy Cherku,, IEEE , IEEE Transactions on Instrumentation and Measuremen, vol., pp., 2024
    DAMNet: lightweight dual attention mixed network for efficient image deraining, By Ragini Thatikonda, Ramalingaswamy Cheruku and Prakash Kodali, Springer, Neural Computing and Applications, vol., pp., 2024
    Nested genetic algorithm-based classifier selection and placement in multi-level ensemble framework for effective disease diagnosis, By Srinivas Arukonda and Ramalingaswamy Cheruku, Taylor and Francis, Computer methods in biomechanics and biomedical engineering, vol.28(4), pp.487-510, 2024
    Detformer: a novel efficient transformer framework for image deraining, By Thatikonda Ragini, Kodali Prakash, Ramalingaswamy Cheruku, Springer, Circuits, Systems, and Signal Processing, vol.43(2), pp.1030-1052, 2024
    Joint Rain Streaks & Haze Removal Network for Object Detection, By Ragini Thatikonda, Prakash Kodali, Ramalingaswamy Cheruku and Eshwaramoorthy, Tech Science Press, Computers, Materials & Continua, vol.79, pp.3, 2024
    Spatial spiking neural network for classification of EEG signals for concealed information test, By Edla, Damoder Reddy, Annushree Bablani, Saugat Bhattacharyya, Ramesh Dharavath, Ramalingaswamy Cheruku, and Vijayasree B, Springer, Multimedia Tools and Applications, vol. 83, pp.79259-79280., 2024
    Trust-based permissioned blockchain network for identification and authentication of internet of smart devices: An e-commerce prospective, By Babu, Erukala Suresh, Ilaiah Kavati, Ramalingaswamy Cheruku, Soumya Ranjan Nayak, and Uttam Ghosh. , WorldScietific, Journal of Interconnection Networks , vol.24(1), pp. 2243001., 2024
    "Sentiment classification with modified RoBERTa and recurrent neural networks." , By Cheruku, Ramalingaswamy, Khaja Hussain, Ilaiah Kavati, A. Mallikarjuna Reddy, and K. Sudheer Reddy. , Springer, Multimedia Tools and Applications , vol.83(10), pp.29399-29417., 2024
    "BT-CNN: a balanced binary tree architecture for classification of brain tumour using MRI imaging." , By Chauhan, Sohamkumar, Ramalingaswamy Cheruku, Damodar Reddy Edla, Lavanya Kampa, Soumya Ranjan Nayak, Jayant Giri, Saurav Mallik, Srinivas Aluvala, Vijayasree Boddu, and Hong Qin. , Frontiers, Frontiers in Physiology, vol.15, pp.1349111., 2024
    SeedAI: A Novel Seed Germination Prediction System using Dual Stage Deep Learning Framework, By Ramesh, Ramalingaswamy Cheruku, Prakask Kodali,, IOP, Environmental Research Communications, vol.5(12), pp., 2023
    A novel stacking framework with PSO optimized SVM for effective disease classification, By Srinvias Arukonda and Ramalingaswamy Cheruku, IOS, Journal of Intelligent Fuzzy Systems, vol.102, pp., 2023
    Novel Dilated Separable Convolution Networks for Efficient Video Salient Object Detection in the Wild, By Hemraj Singh, Mridula Verma, Ramalingaswamy Cheruku, IEEE, IEEE Transactions on Instrumentation and Measurement, vol.72, pp.72, 2023
    Real-Time Seed Detection and Germination Analysis in Precision Agriculture: A Fusion Model With U-Net and CNN on Jetson Nano, By Ramesh Reddy Donapati, Ramalingaswamy Cheruku, Prakash Kodali, IEEE, IEEE Transactions on AgriFood Electronics, vol.1, pp.145155, 2023
    "Complex Human Activity Recognition with Deep Inception Learning and Squeeze-Excitation Framework." , By Kavati, Ilaiah, Venkatesh Akula, E. Suresh Babu, Ramalingaswamy Cheruku, and G. Kiran Kumar. , MIR Labs, Journal of Information Assurance & Security , vol.17, no. 2 , pp., 2022
    Design of a fingerprint template protection scheme using elliptical structures, By Kavati, I., A. M. Reddy, E. S. Babu, K. S. Reddy, and R. S. Cheruku, Elsevier, ICT Express, vol., pp. 497-500., 2021
    Permissioned Blockchain-based Collaborative Intrusion Detection System to Secure Internet of Things Against DDoS Attacks., By Babu, Erukala Suresh, BKN Srinivasa Rao, M. Srinivasa Rao, Ilaiah Kavati, and Ramalingaswamy Cheruku. , MIT Labs, Journal of Information Assurance and Security , vol.16(5), pp., 2021
    Dr. Ramalingaswamy Cheruku [PDF] from wiley.com Full View Lie detection using extreme learning machine: A concealed information test based on short‐time Fourier transform and binary bat optimization using a novel fitness function, By Shubham Dodia, Damodar R Edla, Annushree Bablani, Ramalingaswamy Cheruku, Willey, Computational Intelligence, vol.36, pp., 2020
    SCE-PSO based clustering approach for load balancing of gateways in wireless sensor networks, By Mahesh Chowdary Kongara, Ramalingaswamy Cheruku Damodar Reddy Edla,, Springer, Wireless Networks, vol. 25, , pp. 1067–1081, 2019
    A PSO based routing with novel fitness function for improving lifetime of WSNs, By Damodar Reddy Edla, Mahesh Chowdary Kongara, Ramalingaswamy Cheruku, Springer, Wireless Personal Communications, vol.104, pp., 2019
    Survey on Brain-Computer Interface: An Emerging Computational Intelligence Paradigm, By Annushree B, Damodar E, Diwakar T., Cheruku Ramalingaswamy,, ACM, ACM Computing Surveys, vol., pp., 2019
    Selector: PSO as model selector for dual-stage diabetes network , By Cheruku Ramalingaswamy, and Damodar Reddy Edla., DeGruter, Journal of Intelligent Systems , vol.29(1), pp.475-484., 2019
    A novel 8T SRAM with improved cell density, By Reddy, B. Naresh Kumar, Ch Ramalingaswamy, R. Nagulapalli, and Dharavath Ramesh. , Springer, Analog Integrated Circuits and Signal Processing , vol.98(2), pp.357-366., 2019
    Dynamic Multi-layer Ensemble Classification Framework for Social Venues Using Binary Particle Swarm Optimization, By Ahsan Hussain, Bettahally N Keshavamurthy, Ramalingaswamy Cheruku, Springer, Wireless Personal Communications, vol.105, pp., 2019
    A novel hybrid credit scoring model based on ensemble feature selection and multilayer ensemble classification, By Diwakar Tripathi, Damodar Reddy Edla, Ramalingaswamy Cheruku, Venkatanareshbabu Kuppili, Willey, Computational Intelligence, vol.35, pp., 2019
    An Optimized and Efficient Radial Basis Neural Network using Cluster Validity Index for Diabetes Classification, By Ramalingaswamy Cheruku, Venkatanareshbabu Kuppili, Damodar Edla, IAJIT, International Arab Journal of Information Technology, vol.16, pp.5, 2019
    A Novel Approach to Predict High Blood Pressure Using ABF Function., By Nimmala, Satyanarayana, Y. Ramadevi, and Ramalingaswamy Cheruku., MECS Press, International Journal of Modern Education and Computer Science, vol.10(7), pp., 2018
    "Shuffled complex evolution approach for load balancing of gateways in wireless sensor networks." , By Edla, Damodar Reddy, Amruta Lipare, and Ramalingaswamy Cheruku. , Springer, Wireless Personal Communications , vol.98(4), pp.3455-3476., 2018
    Hybrid credit scoring model using neighborhood rough set and multi-layer ensemble classification, By Diwakar Tripathi, Damodar Reddy Edla, Ramalingaswamy Cheruku, IOS, Journal of Intelligent Fuzzy Systems, vol.34, pp.3, 2018
    High Blood Pressure Prediction based on AAA++ using Machine Learning , By Satyanarayana Nimmala, Ramadevi Y., Sahith R., Cheruku Ramalingaswamy, ", Taylor and Francis, Cogent Engineering , vol.5(1), pp.1497114., 2018
    An Efficient Ensemble Framework with BPSOGA-based Feature Selection: A Case study on Credit Scoring Datasets , By Damodar Reddy Edla, Diwakar Tripathi, Cheruku Ramalingaswamy, Venkatanareshbabu Kuppili, Springer, Arabian Journal of Science and Engineering, vol.43, , pp. 6909–6928, 2018
    Rst-batminer: A fuzzy rule miner integrating rough set feature selection and bat optimization for detection of diabetes disease, By Ramalingaswamy Cheruku, Damodar Reddy Edla, Venkatanareshbabu Kuppili, Ramesh Dharavath, Elsevier, Applied Soft Computing, vol.67, pp.764-78, 2018
    Diabetes-finder: a bat optimized classification system for type-2 diabetes, By Edla, Damodar Reddy, and Ramalingaswamy Cheruku. , Elsevier, Procedia computer science , vol.115, pp. 235-242., 2017
    An Efficient Load Balancing of Gateways using Improved Shuffled Frog Leaping Algorithm and Novel Fitness Function for WSNs, By Damodar Reddy Edla; Amruta Lipare; Ramalingaswamy Cheruku; Venkatanareshbabu K, IEEE, IEEE Sensors, vol.17, pp.20, 2017
    SM-RuleMiner: Spider Monkey Based Rule Miner using Novel Fitness Function for Diabetes Classification, By Ramalingaswamy Cheruku, Damodar Reddy Edla, Venkatnareshbabu Kuppili, Elsevier, Computers in Biology and Medicine , vol.81, pp.79–92, 2017
    Automatic disease diagnosis using optimised weightless neural networks for low‐power wearable devices, By Cheruku, Ramalingaswamy, Damodar Reddy Edla, Venkatanareshbabu Kuppili, Ramesh Dharavath, and Nareshkumar Reddy Beechu, IET, Healthcare technology letters , vol.4(4), pp.122-128., 2017
    "Diabetes classification using radial basis function network by combining cluster validity index and bat optimization with novel fitness function." , By Cheruku, Ramalingaswamy, Damodar Reddy Edla, and Venkatanareshbabu Kuppili. , Springer, International Journal of Computational Intelligence Systems , vol.10(1), pp.247-265., 2017
    Conference(s)
    Enhancing Ensemble Models through Diversity using K-means for Effective Diabetes Classification By Joydeep Dey; Ramalingaswamy Cheruku; Arukonda Srinivas; Ilaiah Kavati; Boddu Vijayasree; Prakash Kodali, CONECCT, 2024
    A TLBO Based Bagging Approach for Effective Disease Diagnosis By Srinivas Arukonda, Ramalingaswamy Cheruku, CODS-COMAD, 2024
    Parametric Optimization of Magnetic Abrasive Finishing Process Using Genetic Algorithm and Particle Swarm Optimization By Gopal Kumar Saxena; Anjaneyulu Kamepalli; Venkatesh Gudipadu; Satish Kumar Injeti; Ramalingaswamy Cheruku, TENCON , 2023
    Improvement in QCN with BIER for Chassis Topology By Shivani Sharma; Ramalingaswamy Cheruku; Yuval Peled; Prakash Kodali; Venkatesh Gudipadu; Shai Savir, TENCON, 2023
    Cancelable Iris Template Generation Using Weber Local Descriptor and Median Filter Projection By Ilaiah Kavati; Venkatesh Akula; Erukala Suresh Babu; Ramalingaswamy Cheruku, TENCON, 2023
    Efficient Lightweight Model for Video Salient Object Detection for IoT and WoT Applications By Hemraj Singh, Mridula Verma and Ramalingaswamy Cheruku,, WWW (A*), 2023
    VS-NET: MULTI-SCALE SPATIOTEMPORAL FEATURES FOR LIGHTWEIGHT VIDEO SALIENT DOCUMENT DETECTION" By Hemraj Singh, Mridula Verma and Ramalingaswamy Cheruku,, 34th IEEE Conference on Tools with Artificial Intelligence 2022 (CORE A Conference), 2023
    Diversified Ensemble Learning: Integrating Bagging and Teaching–Learning-Based Optimization with a Pairwise Dissimilarity Measure By Srinivas Arukonda & Ramalingaswamy Cheruku , AEOTIT, 2023
    A Novel Stacking Framework with GWO-based Feature Selection for Effective Disease Diagnosis By Srinivas Arukonda; Ramalingaswamy Cheruku, INDICON, 2023
    Triboelectric Nanogenerator Based on Different Polymers: Experimental and Simulation Study By P. Ravi Sankar; R. Rakesh Kumar; K. Uday Kumar; G. Venkatesh; Cheruku Ramalingaswamy; K. Prakash, INDICON, 2023
    Predicting Wildfire using Live Fuel Moisture Content with Machine Learning By Ramalingaswamy Cheruku; Aman Kohli; Prakash Kodali; Ilaiah Kavati; Sureshbabu E, INDICON, 2022
    Real-Time Traffic Sign Recognition and Classification Using Deep Learning By Ilaiah Kavati, E. Suresh Babu & Ramalingaswamy Cheruku , SoCPaR , 2020
    SRAM cell with better read and write stability with Minimum area By B. Naresh Kumar Reddy; K Sarangam; T. Veeraiah; Ramalingaswamy Cheruku, TENCON, 2019
    A Bi-Level Cascaded Ensemble Framework for Effective Disease Diagnosis By Ramalingaswamy Cheruku; Pradeep Kumar Nalluri; Krishna Yogeshwar G. Gopi; J.B.S. Charan; V. Naga Sanketh; Nareshkumar Reddy Beechu, TENCON, 2019
    GWO-GA Based Load Balanced and Energy Efficient Clustering Approach for WSN By Amruta Lipare, Damodar Reddy Edla, Ramalingaswamy Cheruku & Diwakar Tripathi , SmartCom, 2019
    Survey on Clustering Techniques By Damodar Reddy Edla; Diwakar Tripathi; Venkatanareshbabu Kuppili; Ramalingaswamy Cheruku, ICICCT, 2018
    PSO-RBFNN: A PSO-based Clustering Approach for RBFNN Design to Classify Disease Data", By Cheruku Ramalingaswamy et al., 26 th International Conference on Artificial Neural Networks (ICANN),, 2017
    Bin-BB: Binning with Branch & Bound feature selection for improved diabetes classification By Ramalingaswamy Cheruku; Damodar Reddy Edla, INDICON, 2017
    Intelli-DRM: An intelligent computational model for forecasting severity of diabetes mellitus By Ramalingaswamy Cheruku; Damodar Reddy Edla; Venkatanareshbabu Kuppili, ICCCNT, 2017
    Review on RBFNN Design Approaches: A Case Study on Diabetes Data By Ramalingaswamy Cheruku, Diwakar Tripathi, Y. Narasimha Reddy & Sathya Prakash Racharla , LAMDA, 2017
    Relative Performance Evaluation of Ensemble Classification with Feature Reduction in Credit Scoring Datasets By Diwakar Tripathi, Ramalingaswamy Cheruku & Annushree Bablani , LAMDA, 2017
    A novel green stable evolutionary routing algorithm for energy efficiency in WSNS By Damodar Reddy Edla; Vilas Deshmukh; Ramalingaswamy Cheruku; S D Saheeka; Brijesh Yadav, ICACCI, 2017
    Predicting High Blood Pressure Using Decision Tree-Based Algorithm By Satyanarayana Nimmala, Y. Ramadevi, Srinivas Naik Nenavath & Ramalinga Swamy Cheruku , LAMDA, 2017
    Spatial Co-location Pattern Mining Using Delaunay Triangulation By G. Kiran Kumar, Ilaiah Kavati, Koppula Srinivas Rao & Ramalingaswamy Cheruku , LAMDA, 2017
    Book Chapter(s)
    Hybrid Optimization of Bag Composition for Disease Diagnosis: Integrating Teaching-Learning-Based Optimization with Genetic Algorithm By Srinivas Arukonda and Ramalingaswamy Cheruku in Advancing Healthcare through Decision Intelligence, Elsevier, Elsevier, 2025
    WSN Lifetime Optimization using IBA By Cheruku Ramalingaswamy, et al. in Role of Nature-Inspired Algorithms in real-life Problems, Springer, Springer, 2024
    Dynamic Weighted Ensemble Ap proach with Entropy-based Diversity Measure for Disease Diagnosis using TLBO Op timization By Srinivas Arukonda and Ramalingaswamy Cheruku, in Decision Sciences in Bioinformatics: Theory and Practice,, CRC Press, CRC Press, 2023
    Effects of COVID-19 Pandemic in Obese and Asthma Patients: A Systematic Review By Srinivas Naik, Cheruku Ramalingaswamy in Intelligent healthcare , Springer, Springer, 2020
    Patent(s)
    A SYSTEM AND METHOD FOR DETERMINING TRUTHFUL AND DECEPTIVE STATE OF A PERSON (Application Number: 2021102773)
    A SYSTEM AND METHOD FOR DETERMINING TRUTHFUL AND DECEPTIVE STATE OF A PERSON (Application Number: 202121022140)
    SALT TOLERANCE MONITORING SYSTEM (Application Number: 202341017040)
    PROJECT / CONSULTANCY
    Deep Learning Models for Diabetic Ratinopathy
    Role: Principal Investigator
    Type: Research
    Sponsor: MHRD
    Project Cost (INR): 500000
    Date of Commencement: 02-01-2021   Date of Completion: 31-01-2023
    Duration: 24 Months
    Status: Completed
    RESEARCH FELLOWS / PhD STUDENTS
    Current PhD Students
    E Uma Maheshwari
    Area of Research: Class Imbalance and Ensemble Learning
    Maddala Janaki Devi
    Area of Research: Machine Learning
    Nikhila Rame
    Area of Research: Precision Agriculture using Deep Learnng
    Talluri Haribabu
    Area of Research: Image Processing
    VONGURI SPANDANA
    Area of Research: Ensemble Learning
    Previous PhD Students
    Hemraj Singh (2025)
    Area of Research: Lightweight Deep Learning models for Video Salient Object Detection
    Arukonda Srinivas (2024)
    Area of Research: Metaheuristic Algorithms based Ensemble Models for Enhanced Chronic Disease Diagnosis
    CONFERENCE / WORKSHOP / SYMPOSIUM
    ADDITIONAL RESPONSIBILITIES
    •  PIC, Software Labs (Continuing from August, 2025)
    •  III MCA CV Evaluation Committee Member (Continuing from August, 2025)
    •  Member of B.Tech. Seminar Evaluation Committee (Continuing from August, 2025)
    •  Faculty Advisor, III B.Tech. CSE-B (Continuing from July, 2025)
    •  Hostel Warden (July, 2023 - July, 2024)
     Last updated on November 25, 2025