Mr. Nakul Dave

Faculty Details


  • Designation : Assistant Professor
  • Qualification : ME CSE
  • Experience : 10 Years
  • Area Of Interest : Text Mining, Distributed System

Education Qualification

1. B.E.C.E. - 2009, Saurashtra University, Distinction
2. M.E.C.S.E. - 2012, Gujarat Technological University, Distinction

Work Experience

1 .Assistant Professor, GEC, Sector-28, Gandhinagar, Period (22/2/2010 to 30/09/2010 )
2. Assistant Professor, VGEC, Chandkheda, (09/06/2011 to till date)

Skills and Knowledge

1. Teaching subjects like DBMS, Information Security

2. Playing Cricket, Volley ball

Courses taught

1. Information & Network Security
2. Distributed Operating System
3. Theory of Computation
4. DBMS
5. Operating System
6. Data Structure
7. Computer Network

Short Term Training Details

1. Embedded System Design, 25/06/2012 to 29/06/2012, VGEC - Chandkheda
2. Database Design and Programming with SQL , 18/11/2013 to 22/11/2013, BISAG-Gandhinagar
3. Induction Training Programme Phase-I, 23/06/2014 to 4/7/2014, NITTTR Extensionn Center, Ahmedabad
4. Developing and Managing IT Infrastructure for Large Organization, 15/12/2014 to 19/12/2014, VVP Engineering College, Rajkot
5. Optimization: Theory and Engineering Practice, 7/12/2015 to 19/12/2015, VGEC - Chandkheda
6. Data Mining And Machine Learning, 6/6/2016 to 18/06/2016, IIT- Gandhinagar
7. Fundamentals and Applications of IoT, Big Data and Machine Learning, 28/5/2018 to 8/6/2018, LDCE, Ahmedabad

Portfolio Coordinator

Institute Level:
MIS Coordinator ,

Department Level: 
TimeTable Coordinator, 
Mid - Sem Exam  Coordinator ,
Final Year Project Guidance & evaluation,
IEI Student chapter coordinator

Research Projects

    

Papers/Book Publication

1. A Review of Spam filtering based on unstructured classification, 20-1-2012, SPCE, Visnagar - NCTM-2012.


2. An addaptive Classification approach to filter spam E-mail using Vector Space Model, 1-8-2012, International Journal of Management, IT and Engineering.

3."Text Base Fuzzy Clustering Approach to filter Spam E-mail", 1-1-2013, ISSN : 23210613.

4. Content based classification using clustering algorithm, 1-4-2015.

Academic Projects

   

Patent Filed

    

Professional Institute Membership

    

Expert Talk/Lectures Deilvered

   

Awards and Achievements