Real-Time Versatile Object Detection With High Accuracy And Reduced Information Loss During Wartime.
2024 International Conference on Integration of Emerging Technologies for the Digital World (ICIETDW)
ASSISTANT PROFESSOR • COMPUTER SCIENCE & ENGINEERING
Shylaja D N
Teaching Technology.
Exploring Intelligence.
Building Knowledge.
TEACHING & ACADEMIC FOCUS
Assistant Professor specializing in Computer Science and Engineering, with academic interests spanning Artificial Intelligence, Machine Learning, Deep Learning and related computing technologies.
PhD Pursuing • M.Tech • B.E
- 8+Years of Teaching Experience
- 15UG Projects Guided
- 03International Conference Publications
- 02Patents Listed in Profile
- 8Workshops / FDPs / Training Programs Attended
- 4Workshops / FDPs / Seminars Organized
Academic Profile
Shylaja D N is an Assistant Professor in Computer Science and Engineering with 8+ years of teaching experience. Her academic background includes a B.E. and M.Tech from VTU, and she is currently pursuing a PhD at VTU.
- Name
- Shylaja D N
- Designation
- Assistant Professor
- Area
- Computer Science and Engineering
- Highest Qualification
- Pursuing PhD, M.Tech-CSE
- Experience
- 8+ years teaching experience
Academic Journey
From DCE to doctoral research at Visvesvaraya Technological University.
DCE
As listed in faculty profile
- 2012
B.E
Visvesvaraya Technological University
- 2014
M.Tech
Visvesvaraya Technological University
- Pursuing
PhD
Visvesvaraya Technological University
Courses Taught
- Programming 4
- Security 1
- AI 3
- Computer Science 2
- Cloud 1
C
ProgrammingC++
ProgrammingJava
ProgrammingPython
ProgrammingCryptography
SecurityArtificial Intelligence
AIMachine Learning
AIDeep Learning
AIDMS
Computer ScienceAutomata Theory
Computer ScienceCloud Computing
Cloud- 11courses across five areas
Research & Technology
Research & Technology Themes Reflected in Publications and Patents
- Object DetectionPublication 01
- Deep LearningPublication 02
- Crowd CountingPublication 02
- Risk MitigationPublication 02
- Predictive AnalyticsPatent 02
- Artificial IntelligencePatent 02
- Medical / Clinical Data AnalysisPatent 02
- Robotics / Human Resource ApplicationsPatent 01
Themes are drawn from the titles of listed publications and patents. They are not presented as formal specializations.
Research Publications
03International Conference Publications
Deep Learning-based modular framework for risk mitigation through crowd counting
The faculty profile lists three international conference publications; two titles are shown here. Publication details can be updated as additional records become available.
Patents
PATENT 01Patent filed / listed in faculty profile
ROBOTIC DEVICE FOR HUMAN RESOURCE DEPARTMENT
PATENT 02Patent filed / listed in faculty profile
AI based Predictive Analytics of complex data sets in diagnosis of critical lung cancer in clinical traits
Student Project Guidance
15UG Projects
Guided
Guided
Undergraduate projects guided, as recorded in the faculty profile.
THEMATIC ILLUSTRATIONS — NOT INDIVIDUAL PROJECT RECORDS
- Research
- Programming
- Artificial Intelligence
- Machine Learning
- Computer Science
AI With Deep Learning
AI WITH DEEP LEARNING
Book listed in the faculty profile. Publisher and publication details to be added.
Continuous Learning
8Workshops / FDPs / Training Programs Attended
4Workshops / FDPs / Seminars Conducted / Organized
Academic Status
- Designation
- Assistant Professor
- Specialization
- Computer Science & Engineering
- Highest Qualification
- PhD — Pursuing
- Teaching Experience
- 8+ Years
- Industry Experience
- 0 Years
- Funded Research Projects
- None listed
- Professional Memberships
- None listed
- Awards & Recognition
- None listed
Milestones
- 2012B.E
- 2014M.Tech
- 2024Research Publications
- 2025Patents Listed
- CurrentPhD — Pursuing
Connect & Collaborate
For academic collaboration, research discussions, teaching initiatives or professional enquiries, get in touch.