Rahul Mekala is seeking a position that utilizes his talents and strengthens his knowledge to advance his career. He has experience working as a technical trainee at the National Center for Biological Science, where he has experience with technologies like Java, MySQL, C#.NET, and image processing tools. He has skills in programming languages like Java, Python, and MATLAB as well as web technologies, scripting languages, operating systems, and databases. Rahul has participated in workshops and conferences related to data mining, machine learning, and bioinformatics. His academic projects involve high throughput screening, machine learning techniques for microarray data analysis, and hospice management software. Rahul received his M.Tech in computational bioscience with
Smart application for ams using face recognitioncseij
Attendance Management System (AMS) can be made into smarter way by using face recognition technique, where we use a CCTV camera to be fixed at the entry point of a classroom, which automatically captures the image of the person and checks the observed image with the face database using android enhanced smart phone.
It is typically used for two purposes. Firstly, marking attendance for student by comparing the face images produced recently and secondly, recognition of human who are strange to the environment i.e. an unauthorized person
For verification of image, a newly emerging trend 3D Face Recognition is used which claims to provide more accuracy in matching the image databases and has an ability to recognize a subject at different view angles.
This documentation provides a brief insight of face recognition based attendance system using neural networks in terms of product architecture which can be used for educational purpose.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Smart application for ams using face recognitioncseij
Attendance Management System (AMS) can be made into smarter way by using face recognition technique, where we use a CCTV camera to be fixed at the entry point of a classroom, which automatically captures the image of the person and checks the observed image with the face database using android enhanced smart phone.
It is typically used for two purposes. Firstly, marking attendance for student by comparing the face images produced recently and secondly, recognition of human who are strange to the environment i.e. an unauthorized person
For verification of image, a newly emerging trend 3D Face Recognition is used which claims to provide more accuracy in matching the image databases and has an ability to recognize a subject at different view angles.
This documentation provides a brief insight of face recognition based attendance system using neural networks in terms of product architecture which can be used for educational purpose.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
1. CURRICULUM VITAE
RAHUL MEKALA
E-mail : rahulmekala@gmail.com
Cell : 09844766849,09963918665
Objective
I wish to utilize the best of my talent in an intelligent manner to further strengthen my knowledge for
achieving heights in my career
Professional Experience
Working as Technical Trainee/JRF at National Center for Biological Science(NCBS) (Jan,2015 to Present)
Experience in analysis, design and implementation of stand-alone and web-based applications using JAVA,
MySQL and Microsoft Technologies like C#.NET, ASP.Net & SqlServer 2008, PostgresSQL9.3
Familiarity, Experience in Datameer/JAVA/Knime OMERO (Open Microscopy Environment) for image
processing and storage in our central database, Schrodinger.
Computer Skills & Languages
• Programming Languages : JAVA, . NET ,PYTHON ,MATLAB,KNIME,OMERO,IJC
• Web Technologies : HTML, ASP .NET, JSP, Servlets.
• Scripting Languages : HTML,JAVA SCRIPTS,CSS
• Operating Systems : LINUX, Windows Family
• Database : MYSQL, Oracle 9i and 10g , SQLServer 2008,posggesSQL9.3
Training
• Attended Workshop on “Intelligent Computing Techniques in DATA MINING” held at National Institute of
Technology (MANIT)Bhopal Madhya Pradesh [SEP -2012]
• Attended Workshop on “Short term Training on MATLAB” held at Maulana Azad National Institute of Technology
(MANIT) Bhopal Madhya Pradesh [FEB-2013]
• Attended for the International Conference on Bio-informatics held at National Institute of Technology (MANIT) Bhopal
Madhya Pradesh [SEP 2014]
Academic Projects
High Throughput Screening (HTS): [NCBS-2015]
Description: The HTS system manages the flow of information, tasks and materials among scientists within and between
labs improving personal productivity, collaboration and collective intelligence It is a drug-discovery process widely used in
the pharmaceutical industry. It leverages automation to quickly assay the biological or biochemical activity of a large number
of drug-like compounds. It is a useful for discovering ligands for receptors, enzymes, ion-channels or other pharmacological
targets, or pharmacologically profiling a cellular or biochemical pathway of interest.
Machine Learning Techniques for the classification of Microarray data analysis [M.TECH 2014]
2. Description: The proposed method uses Support Vector Machine (SVM), and Naive Bayes Classifier are
Machine Learning Methods as the classifiers for diagnosis of Microarray data. The Machine Learning Method
focus on classifying Microarray data from high dimensional microarray dataset.
Hospice Management of Corporate Sector [M.Sc 2012]
Description : This project is an internal project of a software company’s t his is a project dealing with the
computerization of services of hospice management of corporate sector. It deals with the medical equipment and
drugs given to the customers, claiming the bills from the insurance companies used by the medical service
providers. By using this project, employees of an organization can’t cheat their management by claiming medical
allowances without consulting any hospital.
Academic Achievements
• Achieved class second at National Institute of Technology (NITB) Bhopal during my Post Graduation
Studies (M.Tech)
• Received offer from Indian Institute of Technology Indore(IITI) as JRF Position
• Qualified in GATE 2012 , MHRD Scholarship for M.Tech Program
Academic Qualifications
• 2014 – M.Tech in Computational & Systems Bioinformatics with 9.00 CGPA from NIT Bhopal.
• 2012-Masters in Computer Science with 75.5 % Bapatla Engineering College,Bapatla,Nagarjuna
University.
• 2010-Bachelor of Computer Science with 65.6% Nagarjuna University Guntur.
• 2007- Intermediate (Mathmatics, Physics, Chemistry 60 %) Bapatla College of Arts &Science college,A.P.
• 2005-SSC 75.6 % Z.P.High School, Perali,Secondary Board ,AP .
Personal Information
Hobbies : Playing Cricket, Volley ball, acting in Short Films, Cooking
Date of Birth : 16-feb-1989
Gender : MALE
Languages Known : ENGLISH, HINDI, and TELUGU.
Permanent Address : H-No 2-57 , Perali (post), Karla Palem(md) , Guntur 522111
Current Address : 36/1, 14 A cross, Near Yellamma Temple, CV Raman Nagar, Bangalore 560093
I hereby declare that the above written particulars are true and correct to the best of my knowledge and
belief
Date:
Place: MEKALA RAHUL