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Lenish Pramiee
Teaching

Lenish Pramiee

Assistant Professor

Computer Science EC Campus lenish.pj@pes.edu +91 80 6618 6610
3
Research Areas
10
Publications
1
Courses Taught
2
Qualifications
3
Roles Held
3
Achievements

About

Lenish Pramiee is an Assistant Professor in the Department of Computer Science and Engineering at PES University, EC Campus, Bengaluru, India. With a strong academic background in Information Technology (B.Tech., C.S.I Institute of Technology, 2008; M.Tech., Francis Xavier College of Engineering, 2010),and doing her Ph.d under VTU in Topic Deep fake detection. Lenish has built over seven years of experience in teaching, research, and guiding student innovations in emerging technologies.

Her research spans Artificial Intelligence, Machine Learning, Deep Learning, IoT-based systems, Image Processing and Computer Vision, with a particular focus on applying these technologies to socially impactful domains such as medical imaging, agriculture, sports analytics, cybersecurity, and smart transportation.

Research Areas

3
Prompt Engineering
  • https://youtu.be/L1ml_C1Bk58?si=WbKwXQe9t21J0k2B My First AI-Generated Video Using a Prompt!
Reach google scholar profile for more information
  • https://scholar.google.com/citations?view_op=list_works&hl=en&hl=en&user=mm7q6tcAAAAJ
Reach Linked profile for more information
  • www.linkedin.com/in/ lenish-pramiee-05776612a

Publications

10
1
  • IoT-Based Fault Location and Detection of Underground Cables Using Enhanced Deep Learning Approach
  • Automated Threat Detection on the Dark Web: A Comparative Study Using Transformer and Traditional Machine Learning Models
  • Enhancing Emergency Response and Traffic Management with a Smart Ambulance Detection System Using Image Processing
2
  • IWQMA: Intelligent water quality management in aquaculture using IoT technology
3
  • Automated threat detection in the Dark Web: A multi-model NLP approach
  • Enhanced Classification of Cricket Batting Shots Using Advanced Machine Learning and Computer Vision Techniques
  • Deepfake MRI Detection: A ViViT-Based Landmark Feature Extraction Approach for Brain Tumor Scans
  • XAI-MedTrack: Explainable AI for Longitudinal Medical Image Analysis on MRI Scans for Alzheimer's Disease
  • Real Time Deepfake Detection in Live Video Streams
  • Fair Price Prediction for Farmers: Leveraging Freshness of Perishable Goods Through Machine Learning and Sustainable Practices

Teaching

1
Digital Logic and Computer Design, Operating System, Machine Learning, Cloud Computing

Education

2
  • M.Tech(Information Technology)
    Francis Xavier College of Engineering
    2010
  • B.Tech(Information Technology)
    C.S.I Institute of Technology
    2008

Experience

3
  • Assistant Professor
    PES University, EC Campus
    2024 – Till date
  • Assistant Professor
    The Oxford College Of Engineering
    2021 – 2024
  • Assistant Professor
    Gopalan College of Engineering
    2017 – 2020

Achievements

3
  • Elite certificate- "Deep Learning" NPTEL-AICTE- IIT, Kharagpur Elite certificate - “Introduction to Machine Learning” NPTEL-AICTE- IIT, Kharagpur Elite certificate “IOT industrial revolution 4.0” NPTEL-AICTE- IIT, Kharagpur Elite certificate- “Introduction to Python “ NPTEL -IIT, Kharagpur linkedin.com/in/lenish-pramiee-05776612a
  • Academic year 2025 NPTEL:Online certification-Research Methodology(8week course), AICTE-NITTR (Module-4) MOOC Course, AICTE-NITTR (Module-6) MOOC Course, AICTE-NITTR (Module-8) MOOC Course, 3rd International conference on Emerging computation and information Technologies
  • Academic Year 2026: AI driven medical computer vision:Generative and Agentic AI for health care application, Krishi AI Conclave, GenAI to Agentic AI & vibe coding, Research Ethics,Research Integrity, and Research Quality in the AI Era

Responsibilities

1
  • Internship Coordinator, Class Teacher, Mentor, Capstone Project Guide

Additional Info

1
I am an experienced educator with a strong background in teaching computer-related curricula, specifically aligned with VTU University standards and Private University standards. Over the years, I have honed my skills in delivering comprehensive and engaging educational content, ensuring students gain a deep understanding of complex topics in computer science and information technology.

Campus

EC Campus