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Portfolio of Dr. SHAIK KHALEEL AHAMED :: Computer Science and Engineering
DR. SHAIK KHALEEL AHAMED

DR. SHAIK KHALEEL AHAMED

Computer Science and Engineering

Personal Information
Full Name: DR. SHAIK KHALEEL AHAMED
Email: khaleelahamed@methodist.edu.in
State:
Academic Credentials
Qualification: M.Tech ,Ph.D
Vidwan ID: 227578
Experience
Total Experience: 12
Teaching Experience: 12 Years
Industrial Experience: 0
Research Metrics
Publications:
Paper Publications: International: 15, National: 3
Scopus Citation: 100
H-index: 6
Publications
Books and Papers
Patents PublishedS. NoTitle of the PatentApplication NumberPublication Date1System And Method To Predict Rheumatoid Arthritis (RA)20204102352812/06/20202Secure Remote Health Monitoring Framework Using Internet of Things With Edge Computing20204102651703/07/2020 3Water Impurity Detection Using Internet of Things (Iot) For Smart City202041025992 03/07/2020 4Customer Retention System for Retail Enterprises using Multi-phase Clustering Data Mining Technique (Australian Patent)202010108008/07/20205System To Identify Rare Defects In a Micro Scale Product Using Machine Learning20204102734610/07/20206A Smart Portable Security System for Industry Based On IOT20214101218802/04/20217Brain-Computer Interface cutting edge Technology using AI for future communication (Canadian Copyright Database) 118588507/09/20218Intelligent Sensor Based Automatic EB Billing Calculation Method20224101137711/03/2022                     Papers PublishedPublished a paper in International Journal on Computer Science and Engineering (IJCSE) Outliers in Data Envelopment Analysis
(2015); 9(3): 164-173.Published a paper in
International Journal on Computer Science and Engineering(IJCSE)
 ”Most Influential Observations Super Efficiency”
(2015); 7(9): 82-96.Published a paper in Indian Journal of Science and Technology “Outliers/Most Influential Observations in Variable Returns to Scale Data Envelopment Analysis”
(2016); 9(2): 1-7.Published a paper in International Journal of Pharmacy & Technology”Data Mining-Robust Neural Regression”
(2016); 8(2):14666-14678.Published a paper in Journal of Engineering Services “Decentralized Access Control with Encryption Based on Individuality of Data Stored in Clouds
Vol 10
Issue 10
Page No: 491-494
2019.Published a paper in Journal of Engineering Services
“Public Integrity and Enhanced Auditing and Searching for Dynamic Data Sharing
Vol 10
Issue 10
Page No: 495-498
2019.Published a paper in journal IJRTE “Predictive Dialing Call Center Leads to Gain Performance Driven Results in Workflow Management”
Volume-8 Issue-3S2
Page No: 435-439
2019Published a paper in journal IJASRET “Scalable and Secure Data Sharing of Sensitive Information Preservation with Effective Search Mechanism”
Volume-5 Issue-11
Page No: 81-88
2020.Published a paper in journal IJMA
’’Weather Based Crop Selection and Processing for Smart Agriculture Using Machine Learning Techniques
2021
Web of Science.Published a paper in journal Annals of R.S.C.B Brain Tumor Segmentation and Classification based on Deep Learning-Based Inception Networks
2021
Scopus Indexed.Published a paper in Journal of Physics: Conference Series “An Educated Peer Discovery Expanding Block chain Framework”
2021
ScopusPublished a paper in Journal IJAEMA Supervised Machine Learning Based Network Database Intrusion Detection System Using Optics Clustering Technique
2021.Published a paper in Journal The Scientific Temper Investigating privacy-preserving machine learning for healthcare data sharing through federated learning
2023.Published a paper in Journal Multimedia Tools and Applications
"An efficient cyber threat prediction using a novel artificial intelligence technique"
 Springer
SCIE
2024Books Published : 2
Additional Information
Subjects Handled
  • Software Engineering
  • Artificial Intelligence
  • Machine Learning
  • Discrete Mathematics
Research Areas
  • Data Mining
  • Artificial Intelligence
  • Machine Learning
Workshops/Seminars
  • S NoTitleOrganized By      DatesDuration1Attended FDP on Research Trends in Image Processing with Machine Learning And Deep LearningG. Pulla Reddy Engineering College
  • Kurnool
  • AP21th to 25th July 2020FIVE DAYS2Attended FDP on Data Science and AnalyticsAnurag University
  • Hyderabad7th to 11th July 2020FIVE DAYS 3Attended FDP on Data Science and Machine LearningE&ICT
  • NIT Warangal and Kallam Haranadha Reddy Institute of Technology
  • Guntur21th June 25th June 20215 Days4Attended FDP on MultiTechnologiesLords Institute of Engineering and Technology
  • Hyderabad28th June 3rd July 2021One Week5Attended 3-Day National Level workshop on “Teaching
  • Learning & Evaluation- An OBE Perspective”IQAC
  • Lords Institute of Engineering & Technology
  • Hyderabad5th to 7th November
  • 2021Three Day6Attended FDP on “Machine Learning Algorithms for Dead Systems”Department of ECE
  • Geetanjali College of Engineering & Technology in association with Indian Society for Technical Education24th to 29th Jan 2022One Week
Memberships
  • IEIISTEIAENG
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