Engr. Gohar Ijaz Ali Shah

Address:

House No. ***, St # 36, Block A, Sec B-17

Islamabad

Phone: +92-333-*******

Email: ad0vch@r.postjobfree.com

Personal Profile

Father’s Name : Shah Sarwar Ali Shah

Nationality : Pakistani

D.O.B : 27-09-1968

Address : House No. 591,St # 36, Block A, Sec B-17, Islamabad

Contact No. : +92-033*-******* -- 335-***-****

CNIC : 11101-4151521-5

Religion : Islam

Work Experience

Engr. Gohar Ijaz Ali Shah was commissioned in 1993 in the department of Electrical & Mechanical Engineers (EME) of Govt. of Pakistan. During the course of 23 years of service as Electrical Engineer, he has been remained on various EME research, engineering field work and technical staff assignments.

Education

Certificate / Degree Year Board / University Division Percentage S.S.C (Science) 1984 BISE, Peshawar 1st 71.20%

F.Sc (Pre-Engg) 1986 BISE, Peshawar 1st 72.18%

B.Sc (Electrical Engg) 1991 UET, Peshawar 1st 73.00% MS (Computer Systems Engg) 2011 NUST, Islamabad 1st 2.89 GPA MS (Electrical Engg) 2018 GU, GI Khan 1st 3.80 GPA Training and Courses

Course Name Purpose Institution

Young Officers Basic Course Skilled Technician College of E & ME, Rawalpindi Radar Repair Course Specialist Course College of E & ME, Rawalpindi Mid-Career Course Skilled Professional College of E & ME, Rawalpindi Command and Leadership

Course

Professional Leadership College of E & ME, Rawalpindi Foreign Courses, Inspection and Orientation

1. Three Months Course on Control System Engineering from NORINCO, China 2. Representation as Technical Officer in Technical Liaison Meeting, Beijing, China 3. Team Leader of Stage Inspection Team from Pakistan in China Computer Skills

1. Good Command of Microsoft Office Tools 3. Computer Networking 2. MS Project 4. MATLAB & Simulink Programming

Publications & Research Papers

1. Low rank sparse decomposition based speech enhancement using gammatone filter bank and kullback-Leibler divergence, International Journal of Speech Technology, Springer (E- SCI Indexed Journal)

2. Constraint Low Rank and Sparsity Based Unsupervised Speech Enhancement Sigma Journal of Engineering and Natural Sciences (E-SCI Indexed Journal)

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