M.KalyaniEmail Id : mitti.kalyani AT gmail.comCAREER OBJECTIVE :
To gain employment in an organization where I can implement my technical skills and abilities that I have acquired to grow myself professionally, at the same time develop the organization.ACADEMIC CREDENTIALS :
M.Tech (D.S.C.E) Jawaharlal Nehru Technological University Anantapur, A.P. 2013 66.28
B.Tech (E.C.E) Jawaharlal Nehru Technological University Anantapur, A.P. JNTUA College of Engineering Pulivendula, Kadapa (University College) 2011 61.01
Intermediate Board of Intermediate Education, A.P. Krishna Reddy Siddartha Junior College,Madanapalli 2007 81.40
S.S.C Board of Secondary Education, A.P. Z.P. High School, Madanapalli 2005 81.60TECHNICAL SKILLS :Operating systems : Windows (XP, VISTA, 7,8.1)Programming languages : C, Java, VHDLTools/Software : MatlabACTIVITIES & PARTICIPATIONS :
Projects representative for E-CHIP (The Students Technical Forum) at JNTUA CEP in 2010.
Member of coordinating committee, SCINTILLACE 2k9 (National Level Technical Fest).
Library organizer for E-CHIP (Departmental Organization) at JNTUA Pulivendula in 2009.
Presented a paper, “Surface Computer” in SARVAGYNA’08 (National Level symposium) at JNTUA Pulivendula.
Actively participated in the National Seminar on Wireless Networking & Communications, WN&C'12 organized by department of ECE, JNTUACEA.PERSONALITY TRAITS :
Self Confidence, Sincere, Punctual
Adaptability to new environments
Easily mingle with othersPROJECTS UNDERTAKEN :Academic Project : Tensor Perceptual Color Framework for Facial expression recognition by using Log-Gabor filter.Description : This project implements a tensor perceptual color framework (TPCF) for facial expression recognition (FER), which is based on information contained in color facial images. Sponsored links :
Using this framework, the components (in either RGB, YCbCr, CIELab or CIELuv space) of color images are unfolded to 2-D tensors based on multi linear algebra and tensor concepts, from which the features are extracted by Log-Gabor filters. The Mutual Information Quotient (MIQ) method is employed for feature selection. These features are classified using a multiclass linear discriminate analysis classifier. The effectiveness of color information on FER using low-resolution and facial expression images with illumination variations is then assessed for performance evaluation.Project code was developed in Matlab 7.11. In this Indian Face Data Base is used.PERSONAL PROFILE :Name : Muni KalyaniFather’s Name : Muni NaryanaDate of Birth : 03-02-1990Nationality : IndianLanguages Known : English, Hindi, TeluguHobbies : Listening Music, Interior Decoration, CookingDECLARATION :
Here by I solemnly declare that the above-furnished details are true to the best of my knowledge.Place :Date :
( Muni Kalyani)
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