DR. SHAIK KHALEEL AHAMED
DR. SHAIK KHALEEL AHAMED

Designation: Associate Professor

Qualification: M.Tech ,Ph.D

Vidwan ID: 227578

Full Name

DR. SHAIK KHALEEL AHAMED

Email

khaleelska@methodist.edu.in

Total Experience

12 years [Teaching: 12 Years, Industrial: 0]

Paper Publications

International: 11, National: 3

Subjects Handled

Software Engineering, Artificial Intelligence, Machine Learning, Discrete Mathematics

Research Area

Data Mining, Artificial Intelligence, Machine Learning

Papers Published/Books Published

Patents Published

S. No

Title of the Patent

Application Number

Publication Date

1

System And Method To Predict Rheumatoid Arthritis (RA)

202041023528

12/06/2020

2

Secure Remote Health Monitoring Framework Using Internet of Things With Edge Computing

202041026517

03/07/2020

 

3

Water Impurity Detection Using Internet of Things (Iot) For Smart City

202041025992

 

03/07/2020

 

4

Customer Retention System for Retail Enterprises using Multi-phase Clustering Data Mining Technique (Australian Patent)

2020101080

08/07/2020

5

System To Identify Rare Defects In a Micro Scale Product Using Machine Learning

202041027346

10/07/2020

6

A Smart Portable Security System for Industry Based On IOT

202141012188

02/04/2021

7

Brain-Computer Interface cutting edge Technology using AI for future communication (Canadian Copyright Database)

 

1185885

07/09/2021

8

Intelligent Sensor Based Automatic EB Billing Calculation Method

202241011377

11/03/2022

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Papers Published

  1. Published a paper in International Journal on Computer Science and Engineering (IJCSE) Outliers in Data Envelopment Analysis, (2015); 9(3): 164-173.
  2. Published a paper in, International Journal on Computer Science and Engineering(IJCSE),  ”Most Influential Observations Super Efficiency”,(2015); 7(9): 82-96.
  3. 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.
  4. Published a paper in International Journal of Pharmacy & Technology”Data Mining-Robust Neural Regression”, (2016); 8(2):14666-14678.
  5. 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.
  6. 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.
  7. 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, 2019
  8. Published 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.
  9. Published a paper in journal IJMA,’’Weather Based Crop Selection and Processing for Smart Agriculture Using Machine Learning Techniques, 2021, Web of Science.
  10. 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.
  11. Published a paper in Journal of Physics: Conference Series “An Educated Peer Discovery Expanding Block chain Framework”, 2021, Scopus
  12. Published a paper in Journal IJAEMA Supervised Machine Learning Based Network Database Intrusion Detection System Using Optics Clustering Technique, 2021.
  13. Published a paper in Journal The Scientific Temper Investigating privacy-preserving machine learning for healthcare data sharing through federated learning, 2023.
  14. Published a paper in Journal Multimedia Tools and Applications, "An efficient cyber threat prediction using a novel artificial intelligence technique", Springer, SCIE, 2024

Books Published : 2

Workshops / Seminars Attended/organized

S No

Title

Organized By

      Dates

Duration

1

Attended FDP on Research Trends in Image Processing with Machine Learning And Deep Learning

G. Pulla Reddy Engineering College, Kurnool, AP

21th to 25th July 2020

FIVE DAYS

2

Attended FDP on Data Science and Analytics

Anurag University, Hyderabad

7th to 11th July 2020

FIVE DAYS

 

3

Attended FDP on Data Science and Machine Learning

E&ICT, NIT Warangal and Kallam Haranadha Reddy Institute of Technology, Guntur

21th June 25th June 2021

5 Days

4

Attended FDP on MultiTechnologies

Lords Institute of Engineering and Technology, Hyderabad

28th June 3rd July 2021

One Week

5

Attended 3-Day National Level workshop on “Teaching, Learning & Evaluation- An OBE Perspective”

IQAC, Lords Institute of Engineering & Technology, Hyderabad

5th to 7th November, 2021

Three Day

6

Attended FDP on “Machine Learning Algorithms for Dead Systems”

Department of ECE, Geetanjali College of Engineering & Technology in association with Indian Society for Technical Education

24th to 29th Jan 2022

One Week

Memberships

  • IEI
  • ISTE
  • IAENG