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Prof. Ramalingaswamy Cheruku

PhD (National Institute of Technology Goa (CFTI), Goa, India)

Assistant Professor Gr-I

Department of Computer Science and Engineering

Room No: 134, Ground Floor   +91-870-2462710
rmlswamy@nitw.ac.in
9573827143 Edit Profile Bio Sketch

Research Areas

 Machine Learning, Brain Computer Interface 

 Smart Agriculture, Image Processing 

 Soft Computing, Optimization, Deep Learning 

  • Courses Handled
  • Research IDs
  • Selected Publications
  • Project/Consultancy
  • Current PhD Students
  • Awards and Accolades
  • Additional Responsibilities
  • Discrete Mathematics(CS36005)
  • Problem Solving and Computer Programming(CS131)
  • Programming and Data Structures laboratory(CS1103)
  • Programming and Data Structures(CS1101)
  • Mathematical Foundations of Computer Science(CS4301)
  • Principles of Database Systems(CSM03)
  • Database Systems Lab(CS4355)
  • Machine Learning Laboratory(CS356)
  • Machine Learning(CS353)
  • Database Systems(CS4351)
  • Advanced Databases Lab(CS5309)
  • Advanced Databases(CS5305)
  • Problem Solving and Computer Programming(CS181)
  • Discrete Mathematics(CS151)
  • ORC ID: 0000-0003-1677-5321
  • SCOPUS ID: 57192668520


  • Survey on brain-computer interface: An emerging computational intelligence paradigm, By Annushree Bablani, Damodar Reddy Edla, Diwakar Tripathi, Ramalingaswamy Cheruku, ACM, ACM computing surveys (CSUR), vol.52, pp.132, 2019
  • 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
  • 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
  • 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
  • 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
  • Enhancing Disease Diagnosis Accuracy and Diversity through BA-TLBO Optimized Ensemble Learning, By Srinivas Naik, Ramalingaswamy Cheruku, Elsevier, Biomedical Signal Processing and Control, vol.., pp.0, 2024
  • 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
  • Design of a fingerprint template protection scheme using elliptical structures, By Ilaiah Kavati, A Mallikarjuna Reddy, E Suresh Babu, K Sudheer Reddy, Ramalinga Swamy Cheruku, Elsevier, ICT Express, vol.7, pp.497-50, 2021

Deep Learning Models for Diabetic Ratinopathy

  • Role Principal Investigator
  • Type Research
  • Sponsor MHRD
  • Duration 24 Months
  • Project Cost (INR) 500000
  • Status Completed


E Uma Maheshwari

  • Area of Research: Class Imbalance and Ensemble Learning

Hemraj Singh

  • Area of Research: Deep Learning models for Video Salient Object Detection

Maddala Janaki Devi

  • Area of Research: Machine Learning

Mounika

  • Area of Research: Machine Learninga and Optimization

Nikhila Rame

  • Area of Research: Precision Agriculture using Deep Learnng
  • Hostel Warden (July, 2023 - July, 2024)