1. 1
RESUME SUMMARY
Experience
 12 Years Experience
 One patent filed and
working on second
patent
 Working as Associate
Professor
Education
 MCA 66%
 PhD (Pursuing from
GTU, 4 Years
Completed)
Research & Experience
 Patent Filed at India
Patent Office.
Application Number:
1794/MUM/2015.
Application is in
“Awaiting for
Examination” stage
 18 Research Papers
Presented / Published
 Guided four Master
Level Students for their
dissertation
 Received Best Paper
Award for Two Times
from IEEE Conference
 Secured 100% in
Machine Learning
Course from Stanford
University.
 Awarded Best reviewer
of IJCEE International
Journal
 Awarded Outstanding
Reviewer of IJCEE for
the 2010-11
 Editor of International
Journal IJCTE
(International Journal of
Computer Theory and
Engineering )
 Editor of International
Journal IJET
Career Objective:
Seeking a good position in the patent department of reputed organization and willing to
relocate for the same.
Skill Set:
Area of Interest:
Artificial Neural Networks, Computer Networks, Programming Languages
Patent Filed:
Title Multi Class Classifier From Single Class Dataset
Filed At Indian Patent Office
Application No. 1794/MUM/2015
Application Date 5th May, 2015
Applicants &
Inventors
Bhavin Shah,
Bhushan Trivedi (Ph.D.)
Application Status
Patent is Published on Indian Patent Website &
Awaiting for Examination
Objection Received NIL
Website Link https://ipindiaonline.gov.in/patentsearch/search/index.aspx
Note: Patent is filed without help of Agent or Attorney.
Experince:
Total 12 Years of Experience (2003 to 2015):
Field Duration Role
Patent From 2012 to till date
 Conducting prior art searching and GAP
finding
 Designing the patent, its objective and scope
 Checking the feasibility and effectiveness by
implementing the patent.
 Drafting, filing and monitoring the patent
 Commercializing the patent
Research From 2006 to till date
 Conducting system / process study for
project planning, scoping, estimation and
tracking.
 Implementing project plans within deadlines.
 Team mentoring, deployment, monitoring
and development.
 Defining best practices for project support,
documentation and publication.
Academic From 2003 to till date
 Participating in Teaching & Learning Process
 Improving academic & other processes
 Cultivating the research environment
amongst faculty members and students
 Coordinating Online Exams : 1CAT, MAT,
FLAME, GCET, IIFB, BITSAT
 Organizing National & State level Events
Research & Innovation:
 Motivating, Coordinating &
Leading the Team of Innovative
Project
 Guiding Post Graduate Level
Students For their Research
Work
 Finding Innovative solutions to
the problem given.
Patent:
 Prior Art Search of Patent
 GAP Finding
 Patent Designing
 Patent Drafting
 Patent Filing
 Patent Monitoring
 Patent Commercialization
Prof. Bhavin Shah

2. 2
(International Journal of
Engineering and
Technology)
Editor of International
Journal IJCEE
(International Journal of
Computer and Electrical
Engineering)
Certification :
CCNSP Certification from
Elite Core Tech.,
Ahmedabad, Gujarat.
Machine Learning
Certification from
Stanford University via
Coursera.
Founder of LJ Tech
Club
Placement Trainer for
C Language at LJ
Placement Cell
Online Exam
Coordinator
Worked as Faculty
Coordinator of ISTE
Students’ Chapter,
Inst. of Technology,
Nirma University
Curriculum
Development
Committee member of
MCA & BCA
Programme of DDU,
Nadia, Gujarat.
Details of Seminar,
Conference & Event :
 20+ Events Organized
 11+ Technical Lectures
Delivered
 Worked as Juges /
Session Chair in 7+
events
 20+ Conference or
training Programme
Attended
Research Profile:
1. Filed a patent with complete specification at Indian Patent Office
2. Presented or published 18 research papers at national and international level.
3. Guided four master level students for their dissertation.
4. Guiding innovative projects.
Research Projects Completed:
1. Improving the Response Time of Sequential SVM Classifiers for Intrusion
Detection System.
SVM is widely used in classification of network traffic in to mainly five classes:
Normal, DOS, Prob, U2R and R2L. In general, to classify the traffic in the above five
classes, five SVM classifiers are executed in parallel fashion. But in the case of
scarcity of the resources like CPU and RAM, these SVM classifiers are applied in
sequential manner. Such sequential SVM classifier increase the response time up to
the large extant. To minimize the response time for such sequential classifiers, we
developed a model which uses the past experience of the network traffic and weights
which is user controllable. These past experience and weights helps to sequencing
the SVM classifiers. Our experiments on such model clearly show reduction of
response time by 10%.
2. Optimization of Back Propagation Neural Network (BPNN) parameters which
uses large data sets.
BPNN has various parameters / criteria which can be optimized to improve training
time and processing time specially while dealing with large data set. We had
developed and tested a methodology which optimize these parameters/criteria and
improves the performance of the BPNN for anomaly detection by many folds. Work of
this project was published in IEEE International Conference which was awarded as
Best Paper.
3. Improving Performance of Mobile Agent Based Intrusion Detection System.
From the last decade, Mobile Agent has been extensively used to detect distributed
attack in the computer networks. However, literature survey of existing mobile agent
based intrusion detection systems clearly shows poor response time and large agent
size as major challenges. In this project, we tried to find reasons and solutions for
these challenges. We had verified these solutions on computer network having 1400
systems by performing various experiments using Jade Agent Platform. Our
experiments clearly show that our solutions reduce response time and agent size to a
great extent.
4. Optimizing Radial Basis Function parameters using QPSO algorithm to
enhance detection accuracy in Intrusion Detection System.
RBF is used for detecting Intrusion in computer Networks. To improve detection rate
and reduce false alarm rate, parameters of Radial Basis Function had been optimized
by QPSO algorithm. Our experiments show significant improvement in the detection
rate and reduction in false alarm rate.
5. Research work of Patent which is in “Awaiting For Examination” status.
Application Number : 1794/MUM/2015 (India Patent Office)
6. Research work of pursing doctorate degree.
Note: All the above projects are coded in Java.
Achievements:
1. Highest Score in Coursera :
Secured Highest Score (100%) in Machine Learning Course (October-2013 to
January 2014), conducted by Stanford university, facilitated by coursera.
2. Received Best Paper Awards in IEEE International Conference for the
Following Papers:
1. Reducing Features of KDD CUP 1999 Dataset For Anomaly Detection
Using Back Propagation Neural Network
Fifth International Conference on Advanced Computing & Communication

3. 3
Memberships :
Senior Member of
IACSIT (International
Association of Computer
Science & Information
Technology, Singapore)
Member of CTES-
(IACSIT Computer
Theory and Engineering
Society, Singapore )
ISTE Life Member
CSI Life Member
Extra Activities :
National Cadet Corp –
“Air wing” Cadet
Student Pilot License
PERSONAL DATA :
Date of Birth :
10th
March 1980
Gender : Male
Nationality : Indian
Languages known:
English, Hindi and
Gujarati.
Passport :
Have International
Passport
Marital Status:
Married
Technologies ACCT 2015
2. Optimizing Back-Propagation Parameters For Anomaly Detection
IEEE International Conference On Research And Development Prospects On
Engineering And Technology -2013” (ICRDPET-2013) March 2013
3. Secured 2nd
Rank:
Secured 2nd rank in CCNSP training programme organized by Cyberoam
Technologies Pvt Ltd. Participants were from the various academic institutes and
from the Industry.
4. Best Reviewer Award:
Awarded Best reviewer of IJCEE International Journal.
5. Outstanding Reviewer Award:
Awarded Outstanding Reviewer of IJCEE for the 2010-11.
6. Best Faculty Performance for 2011-12.
Secured 1st
rank in the yearly faculty review process of MCA department.
Professional Experience:
1) November 2008 onwards at LJ Group of Institutes
A. From November 2008 to August 2010, worked as Assistant Professor and then from
August 2010 onwards working as Associate Professor at MCA Programme, L. J.
Institute of Management Studies, Ahmedabad, Gujarat, India.
B. Since July 2009, working as Online Exam Coordinator at L. J. Group of Institutes.
Major role as an exam coordinator is to facilitate for conduction of more than 100
online and offline exams like CAT, MAT, BITS, FLAME, SBI, IBPS, CAG, etc. Our
online exam center conduct online / offline exam for more than 500000 candidates in
a year with the help of 250+ staff members.
C. From September to November-2010, worked as visiting faculty at L. J. Institute of
Engineering & Technology.
D. From December-2008 to February-2009, worked as visiting faculty at LJBCA.
2) From July- 2003 To November, 2008 at Nirma University
E. From July 2003 to August 2004, worked as Teaching Assistant at MCA Prog., C.E.
Dept, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India.
F. From August 2004 to November 2008, worked as Lecture at MCA Prog., C.E. Dept,
Institute of Technology, Nirma University, Ahmedabad, Gujarat, India.
G. From August – November for both 2007 & 2008 year, worked as visiting faculty at
Institute of Law, Nirma University, Ahmedabad, Gujarat, India.
H. From July-03 to August -04, worked as visiting faculty at Center for International
Study for Florida Atlantic University, Nirma University, Ahmedabad, Gujarat, India.
Academic Qualification :
Qualification University From –To %
Doctor of Philosophy (PhD) Gujarat
Technological
University,
Ahmedabad
2011- Pursuing -----
Master of Computer Applications
(M.C.A.)
Dharmsinh Desai
University, Nadiad
2000-2003 66%
Bachelor of Science (B.Sc.) Gujarat University 1997-2000 57%
Workshop & Event Organized/ Judged:
 Workshop/ Faculty Development Programme / Course / Event organized : 20+
 Technical Lectures Delivered/ Training Given : 11+
 Online Exam Coordinator/ Board Member / Committee Member / Faculty Advisor: 15+
 Sessions Chaired / Judged :7 +
 Conference / Training Progamme Attended : 20+

4. 4
Correspondence
Address:
110, Vraj Homes,
Before Shanti Business
School,
Behind Apple Woods, S.
P. Ring Road,
Post Via Bopal, Shela,
Ahmedabad, Pin: 380058
Gujarat, India.
Contact Details:
Mobile:
+91 - 9924553302
E-Mail:
bhavinshahemail@gmail.
com
bms_mca@yahoo.com
References:
Mr. Rashmin Shah
Scientist- SG
Indian Space Research
Organization(ISRO),
Ahmedabad, Gujarat, India.
Phone:
(M) +91 99 25623366
Email :
rashminsangita@yahoo.com
Prof. Bhushan
Tivedi,Ph.D.
Dean, Faculty of Computer
Technology,
GLS University,
Ahmedabad, Gujarat, India.
Phone :
(M)+91 8866743251
E-mail :
bhtrivedi@yahoo.com
Dr. Manish Shah
Vice President,
L. J. Group of Institutes,
Ahmedabad, Gujarat, India.
Phone :
(M)+91 9424630666
E-mail :
manish1@ideacellular.blackb
erry.com
Other Information:
Nationality : Indian
Passport Available : Yes
Criminal or Any Other Case : No
Willing to Relocate : Yes
Correspondence Information:
Correspondence Address:
110, Vraj Homes,
Before Shanti Business School,
Behind Apple Woods, S. P. Ring Road,
Post Via Bopal, Shela,
Ahmedabad, Pin: 380058,
Gujarat, India.
Contact Details:
Mobile: +91 - 9924553302
E-Mail: bhavinshahemail@gmail.com
bms_mca@yahoo.com