nikita (1)

3
Nikita Sinha Shivji Puram, Deokali Karanpur, Katra road, Pratapgarh (U.P., INDIA) - 230001 Email-id : [email protected] Mobile No.: 9453871288 ACADEMIC DETAILS Examination University Institute Year CPI/% Post Graduate Specialization: Computer Science and Engineering Post Graduation NIT Karnataka, Surathka NIT Karnataka 2015 8.8 UnderGraduate Specialization: Computer Science and Engineering UnderGraduate UPTU,Lucknow IERT 2012 75.92 Intermediate Specialization: Science Intermediate UP Board Tilak Inter College 2007 73.4 High School Specialization: Science High School UP Board Tilak Inter College 2007 75.66 Experience Section Application Developer, Oracle India Corporation LTD., Hyderabad, July, 2015-Present : Working as an Application developer, my primary role is to develop Oracle e-commerce suit. The main goal of this project is to customize the existing store and agent module as an e-Commerce project by using custom catalogs, pricing lists, etc. Participated in the entire phase of development cycle from design, implementation and testing etc. Key Technologies used are: Java, RQL, Java Script, Node.js, AngularJS, apache tomcat. M. Tech Thesis Algorithm : Find the seed set in a social network by which influence can be maximized at the end of diffusion process. There are crores number of possibilities to select the seed set from a social network. To check each and every solution takes more time and memory. So, greedy approaches like linear threshold model, cascade independent model, time constraint based approaches do not give better results in proper time. In this thesis, a Cuckoo Search Diffusion Model ( CSDM ) is proposed which is based on a meta- heuristic approach known as the Cuckoo Search Algorithm. Paper Published Cuckoo Search for Influence Maximization in Social Networks ( Proceedings of 3rd International Conference on Advanced Computing, 2015) The approaches which are already existing are greedy approaches, genetic algorithm and ant colony optimization, Even-though these existing algorithms take more time for diffusion, they are not able to generate a good number of influenced nodes. In this paper, a Cuckoo Search Diffusion Model ( CSDM ) is proposed which is based on a meta- heuristic approach known as the Cuckoo Search Algorithm. It uses fewer parameters than any other meta-heuristic approaches. Parameter tuning is an easy task for this algorithm which is the main advantage of the Cuckoo Search algorithm.

Upload: nikita-sinha

Post on 16-Apr-2017

46 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Nikita (1)

Nikita SinhaShivji Puram, DeokaliKaranpur, Katra road,Pratapgarh (U.P., INDIA) - 230001Email-id : [email protected] No.: 9453871288

ACADEMIC DETAILS

Examination University Institute Year CPI/%Post Graduate Specialization: Computer Science and EngineeringPost Graduation NIT Karnataka, Surathka NIT Karnataka 2015 8.8UnderGraduate Specialization: Computer Science and EngineeringUnderGraduate UPTU,Lucknow IERT 2012 75.92Intermediate Specialization: ScienceIntermediate UP Board Tilak Inter College 2007 73.4High School Specialization: ScienceHigh School UP Board Tilak Inter College 2007 75.66

Experience Section

• Application Developer, Oracle India Corporation LTD., Hyderabad, July, 2015-Present :

◦ Working as an Application developer, my primary role is to develop Oracle e-commerce suit.

◦ The main goal of this project is to customize the existing store and agent module as an e-Commerceproject by using custom catalogs, pricing lists, etc.

◦ Participated in the entire phase of development cycle from design, implementation and testing etc.

◦ Key Technologies used are: Java, RQL, Java Script, Node.js, AngularJS, apache tomcat.

M. Tech Thesis

• Algorithm : Find the seed set in a social network by which influence can be maximized at the end ofdiffusion process.

◦ There are crores number of possibilities to select the seed set from a social network. To check each andevery solution takes more time and memory.

◦ So, greedy approaches like linear threshold model, cascade independent model, time constraint basedapproaches do not give better results in proper time.

◦ In this thesis, a Cuckoo Search Diffusion Model ( CSDM ) is proposed which is based on a meta-heuristic approach known as the Cuckoo Search Algorithm.

Paper Published

• Cuckoo Search for Influence Maximization in Social Networks ( Proceedings of 3rd International Conferenceon Advanced Computing, 2015)

◦ The approaches which are already existing are greedy approaches, genetic algorithm and ant colonyoptimization, Even-though these existing algorithms take more time for diffusion, they are not able togenerate a good number of influenced nodes.

◦ In this paper, a Cuckoo Search Diffusion Model ( CSDM ) is proposed which is based on a meta-heuristic approach known as the Cuckoo Search Algorithm.

◦ It uses fewer parameters than any other meta-heuristic approaches.

◦ Parameter tuning is an easy task for this algorithm which is the main advantage of the Cuckoo Searchalgorithm.

Page 2: Nikita (1)

TECHNICAL SKILLS

• Languages: (C, Java, JavaScript, R, SQL,AngularJS, AJAX, JQuery)

• Tools: (Eclipse, LATEX, Matlab, Netbeans, git),

• Database: (MySQL),

• Web Technologies: (HTML, CSS)

INTERESTS

• Area: Application development,Database Management Systems , Design and Analysis of Algorithms, Ma-chine Learning.

MAJOR PROJECTS AND SEMINAR

• Solving Travelling Salesman (TSP ) Problem Using Ant Colony Optimization (ACO) (Course Project)

◦ Conventional ACO algorithm cost takes too much time to convergence and traps in local optima inorder to find an optimal solution for TSP problems.

◦ This Project proposes an improved ant colony optimization algorithm with two highlights.

◦ First, candidate set strategy is adopted to rapid convergence speed.

◦ Second, a dynamic updating rule for heuristic parameter based on entropy to improve the performancein solving TSP

◦ The proposed algorithm in the project has better performance than the conventional ACO algorithmand the results of the proposed algorithms are found to be satisfactory.

• Mailing Client Application (Course Project)

◦ Storing, retrieved mails and allowing the user to read mails.

◦ Retrieving mails from a POP3 server as common on the internet today.

◦ Composing new mails and a ’reply’ function

◦ Sending mails keeping a “persistent state”, i.e. mails should not be lost when the client is closed/restarted.

◦ Providing a visually appealing and easy-to-use graphical user interface.

• Hotel Management System (Course Project)

◦ The Purpose of this project is to ease the daily or regular activities of the ’Hotel Management’ into anautomatic computerized retrievable process

◦ The daily activities includes the Room activities, Entering details of the new customer check in,checkout

◦ To allocate a room as per the customer need and interest

◦ Recording the checkout time and details, Releasing or Empty of room and to record the process in acomputer system for future

TRAINING

• One week SQL training in oracle (2015)

• One week Java SE training in oracle (2015)

POSITION OF RESPONSIBILITY

• Teaching Assistant in the course ’Data Structure and Algorithm’.

• Teaching Assistant in the course ’C Language’.

• Teaching Assistant in the course ’Operating System’.

Page 3: Nikita (1)

CO-CURRICULAR ACTIVITY

• An active member of various reputed on-line developer and professional communities like Hacker rank.

• Qualified Gate Exam with All India Rank-470.

• Qualified ’All India Talent Search Examination’.

• Won 2nd prize in skit at ’Udbhav’ in 2010.

• Won 2nd prize in group dance at ’Udbhav’ in 2011.

• Won first prize in Freak Zone at ’Technovation’ in 2009.

EXTRA CURRICULAR ACTIVITY

• Participated a 10km marathon held on October,2016.

• Oracle 5km run winner, 2016.

• Participated a 6km marathon ’Nirbhaya Run’ held on March,2014.