department of information technologystaffs related to the subjects with concepts the new and...
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Department of Information Technology
iTECH
EDITORIAL BOARD
EDITOR
Swetha. A [VH9092] – II year
ASSOCIATE EDITORS
Uvashree K.V [VH6967] – IV year
Dhanaswarya M.K [VH7666] - III year
Jayasurya .S [VH8371] –II year
CHIEF EDITOR
Dr A. Nirmal Kumar [Asso. Prof/HoD]
DESIGNING TEAM
Aravind Raj .S [VH7660]-III year
Christopher Joseph.L [VH8335s
About the Department
The Department of Information Technology was
established in the year 2006 with 60 students. The
Department is fully equipped with high quality laboratories.
The Department consists of dedicated and highly qualified
faculty members. The laboratories are updated with highly
configured systems and recent Technological software, which
enables to provide quality education.
Students are motivated to participate in competitive
events, National and International Conferences that are
conducted by various Organizations and Educational
Institutions. Students also visit Industries to gain practical
knowledge on application of the technologies they learn as
part of their course curriculum. Our Department Staff and
Students are members in various Associations. We conduct
several Faculty Development Programs (FDP), Guest
Lecturers and Symposium for the benefit of students and
staffs related to the subjects with concepts the new and
emerging by the experts in that area.
Message from HOD’s desk: Welcome to the Department of Information
Technology. We started our journey in the year 2006 with 60
students.
The department of Information Technology is
committed to provide not only the technical education but
also the leadership qualities to our students through which
they can create employment to others. The department
focuses on holistic development of the students by a
combination of both curricular and extracurricular activities.
We believe that to develop a tender mind we need to go
beyond class room teaching and we realize that our
department, which helps to make the students industry ready.
“Strive for progress, not perfection.”
Dr A. Nirmal Kumar Associate Professor/ Head of the Department
CONTENTS
VISION OF THE DEPARTMENT 1
MISSION OF THE DEPARTMENT 1
PROGRAMME OUTCOMES (POS) 1
PROGRAMME EDUCATIONAL OBJECTIVES (PEOS) 4
PROGRAMME SPECIFIC OUTCOMES (PSOS) 5
INFORMATSIYA 5
GUEST LECTURE 12
INDUSTRIAL VISITS 14
DEPARTMENT EVENTS 15
STUDENTS CORNER 16
ALUMNI CORNER 26
FACULTY CORNER 28
TALENTO 41
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DEPARTMENT OF INFORMATION TECHNOLOGY
iTECH
VISION OF THE DEPARTMENT
To be a centre of excellence in the field of
Information Technology.
MISSION OF THE DEPARTMENT
To provide conducive learning
environment for quality education in
the field of Information
Technology.
To pursue industry institute interaction
and promote collaborative research
activities.
To empower the students with ethical
values and social responsibilities in
their profession.
PROGRAMME OUTCOMES (POs)
PO1: Engineering knowledge:Apply the knowledge of
mathematics, science, engineering fundamentals,and
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an engineering specialization to the solution of
complex engineering problems.
PO2: Problem analysis: Identify, formulate, review
research literature, and analyze complex engineering
problems reaching substantiated conclusions using
first principles of mathematics, natural sciences, and
engineering sciences.
PO3: Design/development of solutions: Design
solutions for complex engineering problems and
design system components or processes that meet
the specified needs with appropriate consideration
for the public health and safety, and the cultural,
societal, and environmental considerations.
PO4: Conduct investigations of complex problems:
Use research-based knowledge and research methods
including design of experiments, analysis and
interpretation of data, and synthesis of the
information to provide valid conclusions.
PO5: Modern tool usage: Create, select, and apply
appropriate techniques, resources, and modern
engineering and IT tools including prediction and
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modelling to complex engineering activities with an
understanding of the limitations.
PO6: The engineer and society: Apply reasoning
informed by the contextual knowledge to assess
societal, health, safety, legal and cultural issues and
the consequent responsibilities relevant to the
professional engineering practice.
PO7: Environment and sustainability: Understand
the impact of the professional engineering solutions
in societal and environmental contexts, and
demonstrate the knowledge of, and need for
sustainable development.
PO8: Ethics: Apply ethical principles and commit to
professional ethics and responsibilities and norms of
the engineering practice.
PO9: Individual and team work: Function effectively
as an individual, and as a member or leader in diverse
teams, and in multidisciplinary settings.
PO10: Communicate effectively on complex
engineering activities with the engineering
community and with society at large, such as, being
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able to comprehend and write effective reports and
design documentation, make effective presentations,
and give and receive clear instructions.
PO11: Project management and finance:Demonstrate
knowledge and understanding of the engineering and
management principles and apply these to one’s own
work, as a member and leader in a team, to manage
projects and in multidisciplinary environments.
PO12: Life-long learning:Recognize the need for, and
have the preparation and ability to engage in
independent and life-long learning in the broadest
context of technological change.
PROGRAMME EDUCATIONAL OBJECTIVES (PEOS)
Exhibit professional skills to design, develop
and test software systems for real time needs.
Excel as software Professional or
Entrepreneur.
Demonstrate a sense of societal and ethical
responsibilities in their profession.
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PROGRAMME SPECIFIC OUTCOMES (PSOS)
After the successful completion of B.Tech
Programme in Information Technology,
Graduates will be able to,
Apply the acquired knowledge and
modern techniques in the field of IT
based systems.
Design and integrate IT based solutions
to meet the desired needs of society.
INFORMATSIYA
DIGITAL TWIN
A digital twin is a digital replica of a living or
non-living physical entity. By bridging the physical
and the virtual world, data is transmitted seamlessly
allowing the virtual entity to exist simultaneously
with the physical entity. Digital twin refers to a digital
replica of potential and actual physical assets
(physical twin), processes, people, places, systems
and devices that can be used for various purposes.
The digital representation provides both the
elements and the dynamics of how an Internet of
things device operates and lives throughout its life
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cycle. Definitions of digital twin technology used in
prior research emphasize two important
characteristics. Firstly, each definition emphasizes
the connection between the physical model and the
corresponding virtual model or virtual counterpart.
Secondly, this connection is established by generating
real time data using sensors. The concept of the
digital twin can be compared to other concepts such
as cross-reality environments or co-spaces and
mirror models, which aim to, by and large,
synchronise part of the physical world (e.g., an object
or place) with its cyber representation (which can be
an abstraction of some aspects of the physical world).
Worthy of mention is David Gelernter's book Mirror
Worlds.
Digital twins integrate internet of things,
artificial intelligence, machine learning and software
analytics with spatial network graphs to create living
digital simulation models that update and change as
their physical counterparts change. A digital twin
continuously learns and updates itself from multiple
sources to represent its near real-time status,
working condition or position. This learning system,
learns from itself, using sensor data that conveys
various aspects of its operating condition; from
human experts, such as engineers with deep and
relevant industry domain knowledge; from other
similar machines; from other similar fleets of
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machines; and from the larger systems and
environment in which it may be a part of. A digital
twin also integrates historical data from past machine
usage to factor into its digital model.
In various industrial sectors, twins are being used to
optimize the operation and maintenance of physical
assets, systems and manufacturing processes. They
are a formative technology for the Industrial Internet
of things, where physical objects can live and interact
with other machines and people virtually. In the
context of the Internet of things, they are also
referred as "cyberobjects", or "digital avatars". The
digital twin is also a component of the Cyber-physical
system concept.
Origin and Types of Digital Twins
It is widely acknowledged in both industry
and academic publications that Dr. Michael Grieves,
Chief Scientist of Advanced Manufacturing at the
Florida Institute of Technology, originated the Digital
Twin concept. The concept and model of the Digital
Twin was publicly introduced in 2002 by Dr. Michael
Grieves, then of the University of Michigan, at a
Society of Manufacturing Engineers conference in
Troy, Michigan. Dr. Grieves proposed the Digital Twin
as the conceptual model underlying Product Lifecycle
Management (PLM).
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The concept which had a few different names
was subsequently called the Digital Twin by John
Vickers of NASA in a 2010 Roadmap Report. The
Digital Twin concept consists of three distinct parts:
The physical product, the digital/virtual product, and
connections between the two products. The
connections between the physical product and the
digital/virtual product is data that flows from the
physical product to the digital/virtual product and
information that is available from the digital/virtual
product to the physical environment.
The concept was divided into types later. The
types are the Digital Twin Prototype ("DTP"), the
Digital Twin Instance ("DTI"), and the Digital Twin
Aggregate ("DTA"). The DTP consists of the designs,
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analyses, and processes to realize a physical product.
The DTP exists before there is a physical product. The
DTI is the Digital Twin of each individual instance of
the product once it is manufactured. The DTA is the
aggregation of DTIs whose data and information can
be used for interrogation about the physical product,
prognostics, and learning. The specific information
contained in the Digital Twins is driven by use cases.
The Digital Twin is a logical construct, meaning that
the actual data and information may be contained in
other applications.
MOHAMMED AZARUDDIN .K
[VH7659]/III year
MASA – MESH APP AND SERVICE
ARCHITECTURE
MASA is a new architectural model introduced
by Gartner which stands for Mesh app and service
architecture. It reflects what has emerged over the
last five years, as organizations have experimented
several digital projects.
In the race to digital transformation, MASA
focuses on enabling rich, fluid and dynamic
connections of people, processes, services, content,
devices and things. It enables the digital business
technology platform within organizations. This model
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is in many ways similar to the Axway Customer
Experience Networks.
MASA mesh is based on a multidimensional model
where an application is an interconnected mesh of
independent and autonomous apps and services.
Hence the name… It often incorporates functionality
from other applications to create its own
functionality that is shared in turn with external
systems via APIs.
A MASA application covers a specific process
or activity. It is made of several apps and services.
Each app serves the need of a specific user persona
within the process/activity. For example, if you take
the Uber application, there are two different apps:
“Uber for travelers” and “Uber for drivers”. We
should also consider how the different channels –
such as mobile, connected things, social media,
partners … – interact with those apps and contribute
to the global application.
Here are the requirements for building a MASA mesh
application:
Cloud-native: need to be hosted on the Cloud to
benefit native elasticity and high availability.
Web-scale: need to address the volume of the
Internet traffic, which is potentially huge; need to
scale with the growth of new devices (such as IoT or
VRA).
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Modular: need to work with modular services that
can be developed individually with no cross-
dependencies.
Adaptive: need to dynamically react to more and
more rapid digital business changes.
Technologies supporting MASA are:
App development tools, including MADP (such as
Axway Appcelerator)
API Management solutions (such as Axway API
Management)
Microservice frameworks
Analytics engines (such as Axway Decision Insight)
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Container engines and container management
systems (such as Docker)
Platform as a Service (PaaS) (such as Axway Cloud
Platform).
KAVIYA.G [VH8368]/II year
GUEST LECTURE:
Lecture No 1: Probability and Queuing Theory
Date: 19th March 2018
Resource Person: Dr.B.Krishna Kumar
The Department of Information Technology
conducted a Guest Lecture on 19th March 2018 on the
topic “Probability and Queuing Theory“ by
Dr.B.Krishna Kumar,Professor,Department of
Mathematics,College of Engineering,Anna
University,Chennai.
The fundamental knowledge of the probability
concepts was understood and had an exposure of
various distribution functions and also helped in
acquiring skills.The skills in analyzing queuing
models were understood.
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Lecture No 2: Machine Learning Date: 24th
March 2018
Resource Person: Dr.V.Mohanraj
The Department of Information Technology
conducted a Guest Lecture on 24th March 2018 on the
topic “Machine Learning“ by Dr. V.Mohanraj, Data
Scientist, Data Analytics COE, HCL Technologies,
Chennai.
Machine learning is a field of computer science that
gives computer systems the ability to "learn" with
data, without being explicitly programmed. It has
wide range of applications in Big Data Analytics
problems. Machine Learning explores the study and
construction of algorithms that can learn from and
make predictions on data. The fundamental
knowledge of Machine Learning and Expert Systems
was understood.A given problem in the
language/framework of different Artificial
Intelligence methods was formalized.
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INDUSTRIAL VISITS
Visit No 1: Satish Dhawan Space
Centre,ISRO,Sriharikotta Date of Visit: 06th
February 2018
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The Department of Information Technology
arranged an Industrial Visit on 06th February 2018 to
Satish Dhawan Space Centre,ISRO,Sriharikotta for the
IV Semester Students and VI semester students.
Faculty members Mr.M.Gopinath,AP, Ms.D.Daya
Florance,AP, Mr.R.Maniraj,AP and Ms.A.Jayanthi,AP
Department of Information Technology accompanied
the students to the visit.
DEPARTMENT EVENTS
CONFERENCE ORGANIZED
S.NO DATE PROGRAM NAME EVENT
1 02.04.2018 AAVISHKAAR’2018 NATIONAL
CONFERENCE
2 02.04.2018 AAVISHKAAR’2018 PROJECT EXPO
3 03.04.2018 AAVISHKAAR’2018 CULTURAL FEST
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STUDENTS CORNER
PLACEMENT RECORD
S.No
VH No Name Company Placed
Photo
1. VH6944 Pavithra.P Infosys
2. VH6942 Kalyani.S Tata Consultancy Services
3. VH6948 Malarselvi.J
Tata Consultancy Services
4. VH6949 Suganya.V Tata Consultancy Services
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Student Participation/Paper Presentations in
Conferences and Seminars
S
.
N
O
VH
NO
Name Se
m
Confer
ence/
Semin
ar
Title
Hoste
d by
Date
and
Ven
ue
Paper
Tile
1 VH
6950 Gowtham.
V
VI
II AAVIS
HKAA
R’2018
-
Nation
al
Vel
Tech
High
Tech
02.0
4.20
18
Smart
Ambulanc
e with
Traffic
Control 2 VH
6964
Vasanth.S
3 VH
6948
Malarselvi.
J
Secure
Relay
Selection
and Attack
Prevention
Technique
for Energy
Harvesting
Networks
4 VH
6965
Deepa
Lakshmi.S
5 VH
6980
Renuka
Devi.R
Human
Welfare
Safety and
Prevention 6 VH Raguna
Priya.V
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18
6979
VI
II
Confer
ence Vel
Tech
High
Tech
02.0
4.20
18
System
7 VH
6946
Subash.M Data
Prevention
from
Network
Hacking
using
Wireless
Sensor
Networks
8 VH
6952
Balaji.S
9 VH
6969
Prasanna.
K
VI
Big Data
Integratio
n of
Disease
Detection
with Drug
Recomme
ndation
using
Machine
Learning
1
0
VH
6947
Ganesh
Kumar.R
1
1
VH
6963
Praveen
Kumar.R
Comparati
ve
Analysis of
Machine
Learning
Algorithm
s to
1
2
VH
6951
Murugan.B
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18
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19
II
AAVIS
HKAA
R’2018
Identify
Churn for
Telecom
Data
1
3
VH
6956
Preethi.M Improved
Results
Accuracy
with Multi
Keyword
Search
Over
Encrypted
Cloud Data
1
4
VH
6958
Jeya
Kohila.S
1
5
VH
6976
Manikkave
than.R
A Driver
Sleep
Detection
System 1
6
VH
6978
Ravi.K
1
7
VH
6977
Monika.S Anotation
of EEG
Signals for
D2D
Vehicular
System
1
8
VH
6962
Nandhini.
R
1
9
VH
6975
Nalina.S Augmente
d Reality
Virtual
Keyboard
with
2
0
VH
6955
Kowsalya.
M
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20
II
-
Nation
al
Confer
ence Vel
Tech
High
Tech
02.0
4.20
18
Eyeball
Movement
Based
Cursor
Control
Using
Raspberry
PI
2
1
VH
6967
Uvashree.
K.V
VI
II
AAVIS
HKAA
R’2018
-
Nation
al
Confer
ence
Vel
Tech
High
Tech
02.0
4.20
18
Dermatolo
gical
Disease
Detection
using Deep
Learning
and
Ensemble
Feature.
2
2
VH
6968
Nirmala.S
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20
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Student Participations in Workshops
S
.
N
O
VH
NO
Name Se
m
Workshop Hosted by Date
1
VH
7683
E.Devap
riya
VI World
Biggest
Internationa
l Hand-on
Security
Forensic
Workshop
Wikitechy
and
Microsoft
Research
Communi
ty Group
21.01.2
018
2 VH
7648
V.C
Deepika
VI World
Biggest
Internationa
l Hand-on
Security
Forensic
Workshop
Wikitechy
and
Microsoft
Research
Communi
ty Group
21.01.2
018
3 VH
7686
R.Priya
dharshi
ni
VI World
Biggest
Internationa
l Hand-on
Security
Forensic
Workshop
Wikitechy
and
Microsoft
Research
Communi
ty Group
21.01.2
018
4
VH
7699
M.M
Varshin
i
VI World
Biggest
Internationa
Wikitechy
and
Microsoft
21.01.2
018
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l Hand-on
Security
Forensic
Workshop
Research
Communi
ty Group
5
VH
8382
K.Pavit
hra
IV IOT with
Android
Appicatonns
SRM
Institute
of Science
and
Technolo
gy
06.03.2
018
6
VH
8340
S.Keert
hika
IV IOT with
Android
Appicatonns
SRM
Institute
of Science
and
Technolo
gy
06.03.2
018
7 VH
8346
B.Yoges
hwari
IV IOT with
Android
Appicatonns
SRM
Institute
of Science
and
Technolo
gy
06.03.2
018
8 VH
8345
M.Sarit
ha
IV IOT with
Android
Applications
SRM
Institute
of Science
and
Technolo
gy
06.03.2
018
9 VH
8339
V.Santh
oshini
IV IOT with
Android
SRM
Institute
06.03.2
018
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Applications of Science
and
Technolo
gy
1
0
VH
8377
C.Rashi
ka
IV IOT with
Android
Applications
SRM
Institute
of Science
and
Technolo
gy
06.03.2
018
SYMPOSIUM
S.
NO
VH
NO
Name Seme
ster
Sympo
sium
Hoste
d by
Date
1 VH8
366
Sripri
ya
Achar
ya
IV PRAYA
TNA 18
MIT,
Anna
Univer
sity
02.03.2
018,
03.03.2
018
2
VH8
380
Monis
ha.S
IV PRAYA
TNA 18
MIT,
Anna
Univer
sity
02.03.2
018,
03.03.2
018
3
VH8
376
Sweth
a.A
IV PRAYA
TNA 18
MIT,
Anna
Univer
sity
02.03.2
018,
03.03.2
018
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4 VH8
388
Preeth
i
Punith
a.S
IV ITrix 18 CEG,
Guind
y
09.02.2
018,
10.02.2
018
EVENT
S.
N
O
VH
NO
Name Seme
ster
Event Hoste
d by
Date
1 VH7
686
Keerth
ana.C
VI HACKA
THON
18
JNN
Institut
e of
Engine
ering
08.03.
2018,
09.03.
2018
2
VH7
666
Dhans
warya
M.K
VI HACKA
THON
18
JNN
Institut
e of
Engine
ering
08.03.
2018,
09.03.
2018
STUDENT PROJECT PROPOSALS
S.
N
O
VH
NO
Name Seme
ster
Proje
ct
Title
Guide
d by
Submitte
d
to(Fundin
g Agency)
1 VH6
942
Kalyan
i.S
Track
ing Dr.A.N Ministry of
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2 VH6
949
Sugany
a.V VIII
Expir
ation
by
using
RFID
irmal
Kumar
Electronic
s and
Informatio
n
Technolog
y(MeitY) /
Smart
India
Hackathon
’2018
3 VH6
970
Uma
Mages
wari.P
4 VH6
959
Prathi
pa.M
5 VH6
943
Poorni
ma.K
6 VH6
966
Dhara
nya.K
S.N
O
VH NO Name Se
mes
ter
Project
Title
Guided
by
Submitte
d
to(Fundi
ng
Agency)
1 VH6942 S.Kalya
ni
VIII
Trackin
g
Expirati
on by
using
RFID
Mr.J.Vel
muruga
n,
Mr.A.Vi
shnu
Kumar
AAVISHK
AAR’2018
-Project
Expo
2 VH6970 P.Uma
Mages
wari
3 VH6949 V.Suga
nya
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Student Awards
Manikkavethan.R (VH 6976) of Final Year-IT
is awarded as BEST PAPER PRESENTER for the paper
titled “A Driver Sleep Detection System” in technical
presentation and research contribution to
AAVISHKAAR’2018 National Conference on 2nd April
2018 held at Vel Tech High Tech Dr.Rangarajan
Dr.Sakunthala Engineering College.
ALUMNI CORNER
S.No Batch VH No Alumni
Name
Date of
Interaction
Position
Held
1 2010-
2014
VH3363 Akshaya.V 17.03.2018 WIPRO,
Senior
Software
Engineer
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She motivated us with her positive speech. She
encouraged us to get placed during campus interview
and shared her experience in the company. she
explained about the current technologies in the
industry and how to survive in the software industry.
Ms.Akshaya who got 16th rank in the university gave
us some tips to score more marks in the semester and
also for placement preparation. She spent all her time
in selflessly clearing all the doubts that the students
raised in the arena
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FACULTY CORNER
FACULTY PUBLICATIONS
S.
N
O
HTS
NO
Name Desig
natio
n
Article
Title
Jour
nal
Nam
e
Peri
od
of
Pub
licat
ion
Inde
1 HTS
125
8
Dr.A.Nir
mal
Kumar
Associ
ate
Profes
sor
An
Efficient
Medical
Diagnosis
System
based on
Artificial
Neural
Networks
to
Minimize
Misdiagn
osis
Inter
natio
nal
Journ
al of
Pure
and
Appli
ed
Math
emati
cs
Feb
201
8
Scop
us
2 HTS
518
Mr.A.Vis
hnu
Kumar
Assist
ant
Profes
sor
Efficient
Performa
nce
Upsurge
in Live
Clust
er
Com
putin
g
Jan
201
8
Sprin
ger
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Migration
with
Downtur
n in the
Migration
Time and
Downtim
e
3 HTS
125
8
Dr.A.Nir
mal
Kumar
Assist
ant
Profes
sor
Efficient
Performa
nce
Upsurge
in Live
Migration
with
Downtur
n in the
Migration
Time and
Downtim
e
Clust
er
Com
putin
g
Jan
201
8
Sprin
ger
3 HTS
352
Mr.J.Vel
muruga
n
Assist
ant
Profes
sor
A Novel
Approach
for Peer
to Peer
Authentic
ation
Journ
al of
Com
putat
ional
and
Mar
201
8
Scop
us
Vol-2, Issue-1
29
Vol-2, Issue-1
30
Protocol
for Cloud
Storage
Security
Theo
retica
l
Nano
scien
ce
(CTN
)
4 HTS
132
5
Mr.T.Ga
nesh
Assist
ant
Profes
sor
Context
Based
Access
Control
System
For
Mobile
Devices
Inter
natio
nal
Journ
al For
Rese
arch
&
Devel
opme
nt In
Tech
nolog
y
Mar
201
8
Googl
e
Schol
ar
5 HTS
113
4
Mr.R.Ma
niraj
Assist
ant
Profes
sor
Context
Based
Access
Control
System
Inter
natio
nal
Journ
al For
Mar
201
8
Googl
e
Schol
ar
Vol-2, Issue-1
30
Vol-2, Issue-1
31
For
Mobile
Devices
Rese
arch
&
Devel
opme
nt In
Tech
nolog
y
6 HTS
125
8
Dr.A.Nir
mal
Kumar
Associ
ate
Profes
sor
“Suspicio
us Motion
Detection
And
Tracking
Based On
Histogra
m”
Journ
al of
Scien
tific
and
Indus
trial
Rese
arch
Acce
pted
SCI
7 HTS
113
2
Ms.D.Da
ya
Floranc
e
Assist
ant
Profes
sor
“Suspicio
us Motion
Detection
And
Tracking
Based On
Histogra
m”
Journ
al of
Scien
tific
and
Indus
trial
Rese
arch
Acce
pted
SCI
31
Vol-2, Issue-1
Vol-2, Issue-1
32
8 HTS
119
4
Mrs.A.Ja
yanthi
Assist
ant
Profes
sor
“Suspicio
us Motion
Detection
And
Tracking
Based On
Histogra
m”
Journ
al of
Scien
tific
and
Indus
trial
Rese
arch
Acce
pted
SCI
FACULTY PARTICIPATION/PAPER
PRESENTATIONS IN CONFERENCES AND
SEMINARS
S.
N
O
HTS
NO
Name Desig
nation
Conferenc
e/Semina
r Title
Hosted by Date Pape
r Tile
1 HTS
1258
Dr.A.Nir
mal
Kumar
Associ
ate
Profes
sor
AAVISHKA
AR’2018-
National
Conferenc
e
Velte
ch
High
Tech
02.04.
2018
Smart
Ambu
lance
with
Traffi
c
Contr
ol
2 HTS
1261
Dr.M.Mal
leswari
Profes
sor
02.04.
2018
Secur
e
Relay
Select
3 HTS
1134
Mr.R.Ma
niraj
Assista
nt
02.04.
2018
Vol-2, Issue-1
Vol-2, Issue-1
32
Vol-2, Issue-1
33
Profes
sor
Velte
ch
High
ion
and
Attac
k
Preve
ntion
Techn
ique
for
Energ
y
Harve
sting
Netw
orks
4 HTS
1132
Ms.D.Da
ya
Florance
Assista
nt
Profes
sor
02.04.
2018
Huma
n
Welfa
re
Safety
and
Preve
ntion
Syste
m
5 HTS
1261
Dr.M.Mal
leswari
Profes
sor
02.04.
2018
6 HTS
1325
Mr.T.Gan
esh
Assista
nt
Profes
sor
02.04.
2018
Data
Preve
ntion
from
Netw
Vol-2, Issue-1
33
Vol-2, Issue-1
34
AAVISHKA
AR’2018-
National
Conferenc
e
Tech ork
Hacki
ng
using
Wirel
ess
Senso
r
Netw
orks
7 HTS
1194
Ms.A.Jay
anthi
Assista
nt
Profes
sor
02.04.
2018
Big
Data
Integr
ation
of
Disea
se
Detec
tion
with
Drug
Reco
mme
ndati
on
using
Machi
ne
Learn
ing
8 HTS
1134
Mr.R.Ma
niraj
Assista
nt
Profes
sor
02.04.
2018
Vol-2, Issue-1
34
Vol-2, Issue-1
35
9 HTS
1261
Dr.M.Mal
leswari
Profes
sor
AAVISHKA
AR’2018-
National
Conferenc
e
02.04.
2018
Comp
arativ
e
Analy
sis of
Machi
ne
Learn
ing
Algori
thms
to
Identi
fy
Churn
for
Telec
om
Data
1
0
HTS
1134
Mr.R.Ma
niraj
Assista
nt
Profes
sor
02.04.
2018
1
1
HTS
352
Mr.J.Vel
murugan
Assista
nt
Profes
sor
02.04.
2018
Impro
vedRe
sults
Accur
acy
with
Multi
Keyw
ord
Searc
h
1
2
HTS
1258
Dr.A.Nir
mal
Kumar
Associ
ate
Profes
sor
02.04.
2018
Vol-2, Issue-1
35
Vol-2, Issue-1
36
AAVISHKA
AR’2018-
National
VelT
ech
High
Over
Encry
pted
Cloud
Data
1
3
HTS
1132
Ms.D.Da
ya
Florance
Assista
nt
Profes
sor
02.04.
2018
A
Drive
r
Sleep
Detec
tion
Syste
m
1
4
HTS
1134
Mr.R.Ma
niraj
Assista
nt
Profes
sor
02.04.
2018
Anota
tion
of
EEG
Signal
s for
D2D
Vehic
ular
Syste
m
1
5
HTS
1134
Mr.R.Ma
niraj
Assista
nt
Profes
sor
02.04.
2018
Augm
ented
Realit
y
Virtua
l
Vol-2, Issue-1
36
Vol-2, Issue-1
37
Conferenc
e
Tech Keybo
ard
with
Eyeba
ll
Move
ment
Based
Curso
r
Contr
ol
Using
Raspb
erry
PI
1
6
HTS
1258
Dr.A.Nir
mal
Kumar
Associ
ate
Profes
sor
AAVISHKA
AR’2018-
National
VelT
ech
High
02.04.
2018
Derm
atolog
ical
Disea
se
Detec
tion
using
Deep
Learn
ing
and
Ense
mble
1
7
HTS
352
Mr.J.Vel
murugan
Assista
nt
Profes
sor
02.04.
2018
Vol-2, Issue-1
37
Vol-2, Issue-1
38
Conferenc
e
Tech Featu
re.
1
8
HTS
1261
Dr.M.Mal
leswari
Profes
sor
Internatio
nal
Conferenc
e on
Science,
Engineerin
g and
Manageme
nt
Research
Vel
Tech
Multi
Tech
09.03.
2018
&
10.03.
2018
Desig
n of
Low
Powe
r
UWB
CMOS
Low
noise
Ampli
fier
using
Active
Induc
tor
for
WLA
N
Recei
ver
Vol-2, Issue-1
38
Vol-2, Issue-1
39
FACULTY PARTICIPATIONS IN FDPS AND
WORKSHOPS
S.
N
O
HTS
NO
Name Design
ation
FDP/Work
shop
Hosted by Date
and
Venue
1 HTS
1258
Dr.A.Nir
mal
Kumar
Associ
ate
Profes
sor
FDP on
Image
Processing
using
Python
Vel Tech
Rangaraja
n
Dr.Sagunt
hala R&D
Institute
of
Technolo
gy
8.01.2
018 &
9.01.2
018
2 HTS
518
Mr.A.Vis
hnu
Kumar
Assista
nt
Profes
sor
3 HTS
1258
Dr.A.Nir
mal
Kumar
Associ
ate
Profes
sor
FDP on
Data
Analytics
using
Python
Kalasalin
gam
Academy
of
Research
&
Education
(Deemed
to be
Universit
y)
23.02.
2018
&
24.02.
2018
4 HTS
518
Mr.A.Vis
hnu
Kumar
Assista
nt
Profes
sor
5 HTS
1385
Mr.M.Go
pinath
Assista
nt
Profes
sor
6 HTS
1194
Ms.A.Jay
anthi
Assista
nt
Profes
39
Vol-2, Issue-1
Vol-2, Issue-1
40
sor
7 HTS
1132
Ms.D.Da
ya
Florance
Assista
nt
Profes
sor
8 HTS
1325
Mr.T.Gan
esh
Assista
nt
Profes
sor
FACULTY AWARDS
Dr.A.Nirmal Kumar, Associate Professor of
Department of Information Technology has
been nominated to receive Research
Excellence Award by IEAE.
Dr.A.Nirmal Kumar has been nominated as
Doctoral Committee Member by Anna
University for the research scholar
Mr.P.VinothKumar, Assistant Professor,
Department of Information Technology, Vel
Tech High Tech Dr.Rangarajan Dr.Sakunthala
Engineering College, in the month of January
2018.
Vol-2, Issue-1
40
Vol-2, Issue-1
Vol-2, Issue-1
Vol-2, Issue-1
41
TALENTO
Sabari Saravanan .B[VH7672]/III year
41
Vol-2, Issue-1
Vol-2, Issue-1
42
Kaviya.G [VH8368]/II year
Aravind Raj S [VH7660]- III year
Vol-2, Issue-1
42