| AFFILIATIONS |
| Designation |
Assistant Professor |
| Department |
Electrical Engineering |
| University |
Bahria University Islamabad Campus |
| |
| QUALIFICATION |
| DEGREE |
PASSING YEAR |
MAJORS |
UNIVERSITY |
| BSc |
2006 |
Computer Engineering |
U.E.T Taxila |
| MS |
2008 |
MS Electrical & Electronic Engineering |
Yonsei University, South Korea |
| |
| TEACHING EXPERIENCE |
| DESIGNATION |
FROM |
TO |
ORGANIZATION |
| Lecturer |
15-09-2008 |
31-03-2011 |
Bahria University |
| Assistant Professor |
01-04-2011 |
To date |
Bahria University |
| |
| |
| |
| PUBLICATIONS |
| 1 |
Imran Fareed Nizami, Sungjun Hong, Heesung Lee, Byungyun Lee, Euntai Kim, Automatic Gait Recognition Based on Probabilistic Approach, International Journal of Imaging Systems and Technology, Vol 20, Issue 4, pp. 400 408, December 2010.
|
|
| 2 |
2.Imran Fareed Nizami, Sungjun Hong, Heesung Lee, Sungje Ahn, Kar Ann Toh and Euntai Kim, Multi view gait recognition fusion methodology , International Conference on Industrial Electronics and Applications, 2008. ICIEA 2008. Pp. 2101 2105, August 2008.
|
|
| 3 |
3. Imran Fareed Nizami, Sungjun Hong, Heesung Lee, Fusion Algorithm for integrated Face and Gait recognition KFIS journal, Vol. 18, No.1, pp. 72 77, 2008.
|
|
| 4 |
4. Heesung Lee, Sungjun Hong, Imran Fareed Nizami and Euntai Kim, An efficient design of a nearest neighbor classifier for various-scale problems, Pattern Recognition Letters Volume 31 , Issue 9, Pages 1020 1027, July 2010,
|
|
| 5 |
5. Heesung Lee, Sungjun Hong, Imran Fareed Nizami and Euntai Kim, A noise robust gait representation: Motion energy image , International Journal of Control, Automation and Systems Volume 7, Number 4, pp. 638 643.
|
|
| 6 |
6. Sungjun Hong, Heesung Lee, Imran Fareed Nizami, Sung Je An and Euntai Kim, Human identification based on gait analysis, International Conferenec on Control, Automation and Systems, 2007. ICCAS 07, pp. 2234 2237, December 2007.
|
|
| 7 |
7. Sungjun Hong, Heesung Lee, Imran Fareed Nizami and Euntai Kim, A New Gait Representation for Human Identification: Mass Vector , Industrial Electronics and Applications, 2007. pp. 669 673 September 2007.
|
|
