Prof. KADIR AHMED DAFEDAR

Profile Summary

Prof Kadir Ahmed Dafedar is Assistant professor in the department of Electrical and Electronic Engineering Department, Anjuman Institute of technology and management, Bhatkal. Has good experience in Industry and academic level. Interested in Renewable Energy, Data science and Machine leaning

Experience and Roles

Current Position: currently working as Assistant Professor in Electrical and Electronics department, Anjuman Institute of technology and management, Bhatkal

Previous Positions:

  1. HOD, Electrical and Electronics department at SECAB, Bijapur
  2. Assistant Engineer(AE) at 220kv/110kv/!!kv Substation at Bidnal, Hubli for the period of 2 years
  3. QA/QC Engineer at Bilt Middle East, Dubai for 3 year
  4. Operation Manager at Shive Shakti Facilities Pvt India, Mumbai for the period of 4 years

Roles and Contributions

  1. Electrical Maintenance Engineer
  2. Internal and external DCS for VTU Exams
  3. College Promotional Activities
  4. Coordinator for internship and study tour
  5. Actively involved in admission work

Academic Achievements

100 % result in subject like Power system analysis, power system planning, power system distribution, Renewable energy,

Journals and Books Published

Paper published at National conference on power, control, and signal processing (NCONPCS-2014) at Ghousia Engineering college, Ramanagara. A Paper Entitled “Fault Current Reduction in Substation using FCL and Reliability Improvement”

Books:

Journal Articles:

Paper published at National conference on power, control, and signal processing (NCONPCS-2014) at Ghousia Engineering college, Ramanagara. A Paper Entitled “Fault Current Reduction in Substation using FCL and Reliability Improvement”

Contact Information

KADIR AHMED DAFEDAR

Assistant Professor

Electrical and Electronics department

Anjuman Inst5itute o0f technology and management

Bhatkal-581320

Email: kadirahmed1@rediffmail.com

Phone: +919964831804

Research Interests and Current Projects

Research Interests:

Renewable  Energy, Data science