Dr. M. Akhil. Jabbar

Computer Science & Engineering
Faculty Id:
Years of Experience:
20 years
Employment Status:
Full Time – Ratified by JNTUH

Date of Birth:

30 August , 1977

Areas of Specialization :

Data Mining, cyber security, Computer Algorithms, Big data Analytics, Cognitive Science


Ph.D  in CSE 2015 ,JNTUH
PG Degree  in CSE,2006, JNTU KAKINADA

Subjects Taught:

Data Structures, Design and Analysis of Algorithms, Computer Networks, Data Mining, Database Management Systems, Artificial Intelligence.

Papers Published:

  1. Intelligent heart disease prediction system using random forest and evolutionary approach
  2. Classification of heart disease using nearest neighbor classifier with feature subset selection
  3. Classification of heart disease using artificial neural network and feature subset Selection
  4. Research on weighted association rule mining
  5. Knowledge discovery from mining association rules for heart disease prediction
  6. Data Partitioning and Bit Vector Approach for Weighted Frequent Item Set Mining
  7. Cluster based association rule mining for heart attack prediction
  8. Cluster based association rule mining for heart attack prediction
  9. Solving Imbalanced Data Problem with a New Approach
  10. Survey on Interesting Measures for Association Rules
  11. Heart Disease Prediction System using Associative Classification And Genetic Algorithm
  12. Classification of heart disease using k nearest neighbor and genetic algorithm
  13. Prediction of Risk Score for Heart Disease using Associative Classification and Hybrid Feature Subset Selection
  14. Heart disease prediction using Lazy associative classification
  15. Alternating decision trees for early diagnosis of heart disease
  16. Computational intelligence technique for early diagnosis of heart disease
  17. Random forest modeling for intrusion detection system
  18. Knowledge Discovery Using Associative Classification for Heart Disease Prediction
  19. An Evolutionary Algorithm for Heart Disease Prediction
  20. Graph Based Approach for Heart Disease Prediction
  21. A novel algorithm for utility frequent item set mining in market basket analysis
  22. Prediction of heart disease using Random forest and Feature subset selection
  23. Intelligent Network intrusion detection system using data mining techniques
  24. A Systematic analysis of feature selection measures for IDS
  25. Classification of IDS attacks: A survey
  26. Cluster Based Ensemble Classification for Intrusion Detection System
  27. Intelligent network intrusion detection system using data mining techniquesÂÂÂÂ
  28. Prediction of heart disease using k-nearest neighbor and particle swarm optimizationÂÂÂÂ
  29. Data Plane Security Solutions in a Mobile Ad hoc Network: A survey
  30. A Novel Intelligent Ensemble Classifier for Network Intrusion Detection System
  31. Refinement of Recommendation trust for accurate detection of dishonest recommenders with on-off attack pattern
  32. Performance of Path Allegiance Metric based routing protocol under varying Disbelief Threshold of a Trust Management Framework
  33. Heart disease prediction system based on hidden naïve bayes classifier
  34. Intelligent network intrusion detection using alternating decision trees
  35. Information Retrieval systems and Web Search Engines: A Survey

Books Published:


Research Projects Undertaken: