Prof. Ramalingaswamy Cheruku

Spring (2022-2023)

1. CS181- PSCP - II Sem. I. B. Tech. (BT)
2. CS4351 - Dababase Manament Systems - II Sem. MCA.
3. CS181- PSCP Lab - II Sem. I. B. Tech. (BT)
4. CS4355 - DBMS Lab -I MCA II Sem. 

Autumn (2022-2023)

1. CS4301- MFCS - I MCA I Sem 
2. CS5305 - Advanced Dababases II  MCA I Sem 
3. CS356- Machine Learning Lab III B.Tech.
4. CS5309 - Advanced Databased Lab II  MCA I Sem 

Spring (2021-2022)

1. CS151- Discreate Mathamatics - I B.Tech. CSE 
2. CS6351 - Algorithm Analysis and Design II  MCA  
3. CS356- Machine Learning Lab III B.Tech. Sec-A
4. CS356- Machine Learning Lab III B.Tech. Sec-B

Autumn (2021-2022)

1. CS4301- MFCS - I MCA I Sem 
2. CS253- Computer Architecture - II B.Tech. CSE 
3. CS356- Machine Learning Lab III B.Tech. Sec-A
4. CS356- Machine Learning Lab III B.Tech. Sec-B

Spring (2020-2021)

1. CS151- Discreate Mathamatics - I B.Tech. CSE 
2. CS6351 - Algorithm Analysis and Design II  MCA  
3. CS356- Machine Learning Lab III B.Tech. Sec-A
4. CS356- Machine Learning Lab III B.Tech. Sec-B

Autumn (2020-2021)

1. CS151- Discreate Mathamatics - II B.Tech. CSE 
2. CS253- Computer Architecture - II B.Tech. CSE 
3. CS354- Language Processors Lab III B.Tech. Sec-A
4. CS356- Machine Learning Lab III B.Tech. Sec-B

Spring (2019-2020)

1. CS151- Discreate Mathamatics - I B.Tech. CSE 
2. CS253- Computer Architecture - II B.Tech. CSE 
3. CS356- Machine Learning Lab III B.Tech. Sec-A
4. CS356- Machine Learning Lab III B.Tech. Sec-B

Journal Publications (Highest Impact Factor : 16.6 )

1. Hemraj Singh, MridulaVerma, Ramalingaswamy Cheruku , "Novel Dilated Separable Convolution Networks for Efficient Video Salient ObjectDetectioninthe Wild", IEEE Transacations on Instrumention and Meaurement, (72), 2023 (IF 5.6, SCI)
2. Ramesh,  Ramalingaswamy Cheruku, Prakask Kodali, Real-time Seed Detection and Germination Analysis in Precision Agriculture: A Fusion Model with U-Net and CNN on Jetson Nano, IEEE Transacations on Agri Food Electronics (Major Revision Submitted)
3. Annushree B, Damodar E, Diwakar T., Cheruku Ramalingaswamy, "Survey on Brain Computer Interface: An Emerging Computational Intelligence Paradigm", ACM Copmputing Surveys, (I.F. 16.60, SCI)
4. Cheruku Ramalingaswamy, Damodar Reddy Edla, Venkatanareshbabu K, Dharavath Ramesh,"RST-BatMiner: A Fuzzy Rule Miner Integrating Rough Set Feature Selection and Bat Optimization for Detection of Diabetes Disease", Applied Soft Computing, 2018   (Elsevier, IF: 8.7, SCI)
5. Cheruku Ramalingaswamy, Damodar Reddy Edla, and Venkatanareshbabu Kuppili. "SM-RuleMiner: Spider monkey based rule miner using novel fitness function for diabetes classification." Computers in Biology and Medicine, 81, 79-92, 2017. (Elsevier, IF: 7.7, SCI).
6. Ramalingaswamy Cheruku et al. Design of a fingerprint template protection scheme using elliptical structures. ICT Express 7(4): 497-500 (2021) (Elsevier, IF: 5.4)
7. Damodar Reddy E, Amrutha L, Cheruku Ramalingaswamy, Venkatanareshbabu K, "An Efficient Load Balancing of Gateways using Improved Shuffled Frog Leaping Algorithm and Novel Fitness Function for WSNs", IEEE Sensors Journal, 17(20), 6724 - 6733, 2017. (IF: 4.3, SCI).
8. Cheruku Ramalingaswamy and Arukond Srinivas, "A novel diversity-based ensemble approach with genetic algorithm for effective disease diagnosis" Soft Computing, 27, 9907–9926 (2023) (Springer, SCI, IF: 4.1 )
9. Cheruku Ramalingaswamy et al. "Efficient Diabetic Retinopathy Detection using Convolutional Neural Network and Data Augmentation" Soft Computing, 2023 (Springer, SCI, IF: 4.1 )
10. Ragini T, Prakash K, Cheruku Ramalingaswamy ,"DeTformer: A Novel Efficient Transformer Framework for Image Deraining", Circuits, Systems & Signal Processing, 2023 (Springer, SCI, IF:2.3)
11. Arukonda Srinivas,Cheruku Ramalingaswamy, "A Novel Stacking Framework with PSO Optimized SVM for Effective Disease Classification",JIFS, (IOS, IF: 2, SCI)
12. Cheruku Ramalingaswamy et al. "Sentiment Classification with Modified RoBERTa and Recurrent Neural Networks" Multimedia Tools and Applications, 2023, (Springer, IF: 3.6, SCI)
13. Cheruku Ramalingaswamy, Damodar Reddy Edla, and Venkatanareshbabu Kuppili. "Diabetes Classification using Radial Basis Function Network by Combining Cluster Validity Index and BAT Optimization with Novel Fitness Function." International Journal of Computational Intelligence Systems, 10(1), 247-265, 2017. (Springer IF: 2.9, SCI Indexed).
14. Cheruku Ramalingaswamy et al. "Automatic Disease Diagnosis using Optimized Weightless Neural Networks for Low-Power Wearable Devices." Healthcare Technology Letters, 4(4), 122-128, (2017) (ESCI, IF:2.1)
15. Cheruku Ramalingaswamy, Damodar Reddy Edla, and Venkatanareshbabu Kuppili. "An Optimized and Efficient Radial Basis Neural Network using Cluster Validity Index for Diabetes Classification", The International Arab Journal of Information Technology, (IF: 0.9, SCI Indexed).
16. Damodar Reddy E, Mahesh Chowdary K, Cheruku Ramalingaswamy "SCE-PSO Based Clustering Approach for Gateways Load Balancing in Wireless Sensor Networks", Wireless Networks, (Springer, SCI, I.F. 3)
17. Damodar  E, Amrutha L, Cheruku Ramalingaswamy,"Shuffled Complex Evolution Approach for Load Balancing of Gateways in WSNs", Wireless Personal Communications, 2017. (Springer, IF: 2.00, SCI Indexed)
18. Damodar E, Mahesh K, Cheruku Ramalingaswamy, "A PSO-based Routing using Novel Fitness Function for Improving Gateways Lifetime in WSNs", Wireless Personal Commuinications,( Springer, SCI, I.F. 2.00)
19. Damodar Reddy Edla, Diwakar Tripathi, Cheruku Ramalingaswamy, Venkatanareshbabu Kuppili, " An Efficient Ensemble Framework with BPSOGA-based Fearure Selection: A Casestudy on Credit Scoring Datasets ", Arabian Journal of Science and Engineering. (Springer, IF: 2.9, SCI Indexed)
20. Ashan Hussain, Keshavamurthy, Cheruku Ramalingaswamy, "Dynamic Multi-Layer Ensemble Classification Framework for Social Venues using Binary Particle Swarm Optimization", Wireless Personal  Commuinications, (Springer, SCI Indexed, I.F. 2.00)
21. Diwakar Tripathi, Damodar Reddy Edla, Cheruku Ramalingaswamy, Venkatanareshbabu Kuppili "A Novel Hybrid Credit Scoring Model based on Ensemble Feature Selection and Multi-layer Ensemble Classification" Journal of Computational IntelLigence (Willey, SCI Indexed, I.F. 2.8)
22. B. Naresh kumar Reddy, Cheruku Ramalingaswamy, R. Nagulapalli, and Dharavath Ramesh, "A Novel 8T SRAM with Improved Cell Density" Journal of Analog Integrated Circuits and Signal Processing (Springer, SCI, I.F. 1.3)
23. Shubam Dhodla, Damodar Reddy Edla, Anushree Bublani, Cheruku Ramalingaswamy, VNB "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" Journal of Computational Intelligence (Willey, SCI, I.F. 2.8)
24. Diwakar Tripathi, Damodar Reddy Edla, Cheruku Ramalingaswamy, "Hybrid Credit Scoring Model Using Neighborhood Rough Set and Multi-layer Ensemble Classification" Journal of Intelligent and Fuzzy Systems, 2017, (IOS Press, SCI Indexed, I.F. 2)
25. Ramalingaswamy Cheruku and Damodar Reddy Edla, "Selector: PSO as Model Selector for Dual Stage Diabetes Network" in Journal of Intelligent Systems. (De-Gruter, I.F: 3.0)
26. Cheruku Ramalingaswamy et al., Trust-Based Permissioned Blockchain Network for Identification and Authentication of Internet of Smart Devices: An E-Commerce Prospective, Journal of Interconnection Networks (ESCI, IF: 0.9)
27. Cheruku Ramalingaswamy et al., "Complex Human Activity Recognition with Deep Inception Learning and Squeeze-Excitation Framework", Journal of Information Assurance and Security 17(2), 2022
28. Cheruku Ramalingaswamy et al.,"Permissioned Blockchain-based Collaborative Intrusion Detection System to Secure Internet of Things Against DDoS Attacks", Journal of Information Assurance and Security 16(5), 2021.
29. Cheruku Ramalingaswamy et al. "A Novel Approach to Predict High Blood Pressure using ABF Function" International Journal of Modern Education and Computer Science (Scopus)
30. Cheruku Ramalingaswamy et al. "High Blood Pressure Prediction based on AAA++ using Machine Learning " Journal of Cogent Engineering (T&F, ESCI and Scopus)
31. Damodar Reddy Edla and Cheruku Ramalingaswamy, "Diabetes-Finder: A Bat Optimized Classification System for Type-2 Diabetes" Procedia Computer Science, 115, 235–242, 2017, (Elsevier, Scopus ) 
32. Arukonda Srinivas,Cheruku Ramalingaswamy, "Nested Genetic Algorithm based Classifier Selection and Placement in Multi-Level Ensemble Framework for Effective Disease Diagnosis", Computer Methods in Biomechanics and Biomedical Engineering, (Taylor & Francis, SCI, IF: 1.6) 2023
33. Arukonda Srinivas,Cheruku Ramalingaswamy, Enhancing Disease Diagnosis Accuracy and Diversity through BA-TLBO Optimized Ensemble Learning, Biomedical Signal Processing and Control, (Major Revision) (Elsevier, IF: 5.1) 2023
34. Ramesh,  Ramalingaswamy Cheruku, Prakask Kodali, "SeedAI: A Novel Seed Germination Prediction System using Dual Stage Deep Learning Framework", Environmental Reserach Communications, 2023 [IF:2.9]

Conference Publications

1. Hemraj Singh, Mridula Verma and Ramalingaswamy Cheruku,  Efficient Lightweight Model for Video Salient Object Detection for IoT and WoT Applications, WWW 2023 (CORE A* Conference) (USA)
2. Hemraj Singh, Mridula Verma and Ramalingaswamy Cheruku, "VS-NET: MULTI-SCALE SPATIOTEMPORAL FEATURES FOR LIGHTWEIGHT VIDEO SALIENT  DOCUMENT DETECTION" in The 34th IEEE Conference on Tools with Artificial Intelligence 2022 (CORE A Conference) (USA)
3. Cheruku Ramalingaswamy et al. "PSO-RBFNN: A PSO-based Clustering Approach for RBFNN Design to Classify Disease Data", in 26 th International Conference on Artificial Neural Networks (ICANN), Italy, LNCS 10614, pp. 411-419, 2017. (CORE B)
4. Ramalingaswamy Cheruku et al."Effective Diabetes Prognosis using Deep Learning Pipeline ", TENCON 2023, Thailand 
5. Ramalingaswamy Cheruku et al. "Parametric Optimization of Magnetic Abrasive Finishing Process Using Genetic Algorithm and Particle Swarm Optimization", TENCON 2023, Thailand 
6. Ramalingaswamy Cheruku et al. "Improvement in QCN with BIER for Chassis Topology ", TENCON 2023, Thailand 
7. Ramalingaswamy Cheruku et al. "Cancelable Iris Template Generation using Weber Local Descriptor", TENCON 2023, Thailand 
8. Ramalingaswamy Cheruku et al. "Predicting Wildfire using Live Fuel Moisture Content with Machine Learning" in 19th INDICON 2022, Kerala.
9. Ilaiha Kavati, Sureshbabu, Ramalingaswamy Cheruku  "Real-Time Traffic Sign Recognition and Classification using Deep Learning" in 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020)
10. Cheruku Ramalingaswamy et al. "A Bi-Level Cascaded Ensemble Framework for Effective Disease Diagnosis”, in 31 st TENCON, 2019, India.
11. Cheruku Ramalingaswamy et al. "Intelli-DRM: An Intelligent Computational Model for Forecasting Severity of Dia-betes Mellitus" in 8 th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, IIT Delhi, 2017
12. Cheruku Ramalingaswamy et al. "Bin-BB: Binning with Branch & Bound feature selection for improved diabetes classication" in 14 th INDICON, IEEE, IIT Roorkee, India, 2017
13. Ramalingaswamy Cheruku, Diwakar Tripathi, Narasimha Reddy Y and Sathya Prakash Racharla "Review on RBFNN Design Approaches: A Case Study on Diabetes Data" in LAMDA, Springer, NIT Goa, India, 2017
14. Diwakar Tripathi, Ramalingaswamy Cheruku and Annushree Bablani"Relative Performance Analysis of Ensemble Frameworks and Dimenstionality Reduction Approaches for Credit Scoring Datasets" in 1 st International Conference Latest Advances in Machine learning and DAta Science, Springer, NIT Goa, India, 2017
15. Damodar Reddy Edla, Diwakar Tripathi, Venkata Naresh Babu and Ramalingaswamy Cheruku "Survey on Clustering Techniques" in ICICCT-2018, IEEE, India, 2018
16. Amrutha Lipare, Damodar Reddy Edla, Ramalingaswamy Cheruku, Diwakar Tripathi "GWO-GA based Load Balanced and Energy Efficient Clustering Approach for WSN"
    in SmartCom-2019, IEEE, Bangkok, 2019
17. Naresh Kumar reddy, Srangam,Veeraiha, Ramalingaswamy Cheruku, “SRAM cell with better read and write stability with minimum area”, 31 st TENCON, 2019, India.
18. Damodar Reddy Edla , Vilas Deshmukh , Ramalingaswamy Cheruku Saheeka SD and Brijesh Yadav,"A Novel Green Stable Evolutionary Routing Algorithm for Energy Efficiency in WSNs" in 7 th (ICACCI), MIT Manipal, India, 2017.
19. Satyanarayana Nimmala, Ramadevi Y., Srinivas Naik, Ramalingaswamy Cheruku "Predicting High Blood Pressure using Decision Tree Based Algorithm" in LAMDA Springer, NIT Goa, India, 2017
20. G Kiran Kumar, Ilaiah Kavati, Koppula Srinivas Rao and Ramalingaswamy Cheruku "Spatial Co-location Pattern Mining using Delaunay Triangulation" in LAMDA, Springer, NIT Goa, India, 2017
21. Srinivas Arukonda and Ramalingaswamy Cheruku, Hybrid Optimization of Bag Composition for Disease Diagnosis: Integrating Teaching-Learning-Based Optimization with Genetic Algorithm.,4th International Conference on Advanced Engineering Optimization Techniques, 2023, SVNIT Surat
22. Srinivas Arukonda and Ramalingaswamy Cheruku, Diversified Ensemble Learning: Integrating Bagging and TeachingLearning-Based Optimization with Pairwise Dissimilarity Measure, 4th International Conference on Advanced Engineering Optimization Techniques, 2023, SVNIT Surat
23. Srinivas Arukonda and Ramalingaswamy Cheruku, A Novel Stacking Framework with GWO-based Feature Selection for Effective Disease Diagnosis, INDICON 2023
24. Srinivas Arukonda and Ramalingaswamy Cheruku,  A TLBO Based Bagging Approach for Effective Disease Diagnosis, CODS-COMAD 2024, IIIT Bangalore
25. Puppala Ravi Sankar, Kodali Prakash, Cheruku Ramalingaswamy, Rajaboina Rakesh Kumar, K Uday Kumar and G Venkatesh, Triboelectric Nanogenerator Based on Different Polymers: Experimental and Simulation Study, INDICON 2023

Patents:

1. Granted an Indian Patent "SALT TOLERANCE MONITORING SYSTEM " (Application Num ber: 202341017040)
2. Granted a Australian Patent  on "A SYSTEM AND METHOD FORDETERMINING TRUTHFUL AND DECEPTIVE STATE OF A PERSON", (Application Number: 2021102773)
3. Published an Indian Patent "A SYSTEM AND METHOD FOR DETERMINING TRUTHFUL AND DECEPTIVE STATE OF A PERSON", (Application Number: 202121022140)

Book Publications:

1. Ramalingaswamy Cheruku, Damodar Reddy Edla, Venkatanaresh Kuppili "Soft Computing Techniques for Type-2 Diabetes Data Classification", ISBN-No: 978-0367236540 Taylor & Francis and CRC Press, 2020

Book Chapters:

1. Cheruku Ramalingaswamy, Damodar Reddy Edla, and Venkatanareshbabu Kuppili. "Machine Learning Approaches for Diabetes Classification: A survey", McGrawhill, 2016
2. Damodar Reddy Edla, Padunaik, Tejaswini, Hareesh, Cheruku Ramalingaswamy "Credit Scoring using Birds Swarm Opimization", Taylor & Francis andCRC Press, 2017
3. Srinivas Naik, Cheruku Ramalingaswamy, "Effects of COVID-19 Pandemic in Obese and Asthma Patients: A Systematic Review", Intelligent healthcare (Springer book), 2020
4. Cheruku Ramalingaswamy, et al. WSN Lifetime Optimization using IBA, Role of Nature-Inspired Algorithms in real-life Problems. Springer 2024
5. Srinivas Arukonda and Ramalingaswamy Cheruku, Dynamic Weighted Ensemble Approach with Entropy-based Diversity Measure for Disease Diagnosis using TLBO Optimization, CRC Press

Currently, I am guiding Two Full-time and One Part-tinme  Ph.D. Schalors

1. Mr.  Hemraj Singh,  Ongoing since July 2020 (Full-time, IDRBT Fellowship)
2. Mr. Arukonda Srinivas, Ongoing since Jan 2021 (Full-time, Institute Fellowship)
3. Ms. Maddala Janakidevi, Ongoing since Jan 2022 (Part-time)

List of FDPs/Workshops Organized

1. Organized five day  FDP on  "Machine Learning Models for Disease Diagnosis: A Practical Approach" during Dec 20-24, 2020
2. Organized 10 days FDP on" Reseach Challenges, Issues and Trends in Soft Computing and Machine Learning" from 9-8-2021 rto 18-8-2021
3. Organized 10 days FDP on"Emerging Technologies: AI, Bigdata and Block chain" from 16-9-2021 rto 25-9-2021
4. Organized 10 days FDP on"Recent Trends in VLSI and MEMS for IoT Applications" from 16-5-2022 to 25-5-2022
5. Organized 10 days FDP on"Advances in Cyber Secuirty and AI" from 6-6-2022 to 16-6-2022
6. Organized 10 days FDP on"Reserch Challenges and Hands on Practice in Data Analytics and AI" from 21-7-2022 to 31-7-2022
7. Organized 10 days FDP on"Neural Computing for Machine Learning Techniques and Its Applications in Cryptography" from 8-8-2022 to 16-8-2022
8. Organized five day  FDP on  "Machine Learning Models for Decision Making" during Aug 25-30, 2022
9. Organized two week FDP on"Machine Leaning and Soft Computing Approaches for Real-time Applications" from 24-9-2022 to 1-10-2022

1. PI, RSM Project, Design of Development of Deep Learnig Models for Diabetic Rationopathy, 2021-2023, Rs. 5,00,000/-.

1. Received best team member award from TCS for the year 2013
2. Received Venus Young Faulty Award in 2019

1. Faculty Advisor, B. Tech. I Year ( 2021 - Till Date)
2. Department Results Processing Comittee ( Jan 2021 -till date)
3. Hostel Warden fro Ambedhar Hostel (July 2023 -till date)