Dr. Sheily Panwar

Dr. Sheily (Verma) Panwar

Artificial Intelligence & Computer Science Professor

14+ years of experience in teaching, research, curriculum development, and academic leadership spanning global institutions. Specializing in AI, Deep Learning, and Cybersecurity.

Publications Academic Journey

Academic Profile

A highly accomplished academic professional with over 14 years of experience in teaching, research, curriculum development, and academic leadership across international institutions.

Proven expertise in Artificial Intelligence, Cybersecurity, Data Science, Networking, and Computer Science, with a strong focus on aligning academic programs with global quality assurance standards such as QAA.

Demonstrated ability to integrate AI-driven tools into education, publish in high-impact journals, and lead program accreditation. Skilled in supervising student projects, coordinating Cisco Netacad, and driving interdisciplinary collaboration.

14+
Years Academic Exp.
Ph.D.
Computer Science
9+
Selected Publications
2
Granted Patents

Academic Experience

Sep 2023 – Present

Assistant Professor – Computer Science & Cybersecurity

Course Director – AI & CS | CUQ- Ulster University, Doha, Qatar

  • Lead the strategic design, development, and delivery of undergraduate programs in AI, CS, and Cybersecurity aligned with Ulster University and QAA standards.
  • Coordinate curriculum development, syllabus revision, and assessments across Doha, Londonderry, and Belfast campuses.
  • Publish high-impact, peer-reviewed research articles in Cybersecurity, AI, Machine Learning, and Data Science.
  • Direct program validation, accreditation processes, and coordinate Cisco Networking Academy.
AI I & II Cloud Computing Mobile App Dev Math for Computing Systems Analysis Network & Security Fundamentals BTEC HND: Networking & Strategic Info Systems
Sep 2022 – Sep 2023

Assistant Professor – Computer Science

MIE-SPPU Institute of Higher Education, Doha, Qatar

  • Delivered comprehensive instruction in Cybersecurity, AI, Data Science, and Software Engineering.
  • Organized and led Ethical Hacking workshops, integrating penetration testing and network simulations.
  • Supervised capstone research projects in Machine Learning, Security, and Data Analytics.
  • Appointed as Cisco Networking Academy Coordinator.
Applied Statistics Cyber Security Software Engineering Data Structures & Algos RDBMS
Feb 2019 – Sep 2022

Research Scholar – Computer Science & Engineering

Shri Venkateshwara University, India

  • Conducted PhD research focused on Network Coding, Image Processing, and Deep Learning models in Intrusion Detection Systems (IDS).
  • Developed and tested hybrid AI frameworks for secure network threat detection.
  • Facilitated faculty development programs (FDPs) and mentored undergraduate and postgraduate students on research methodology.
Sep 2013 – Jan 2019

Senior Lecturer – Engineering & Information Sciences

University of Wollongong, Dubai, UAE

  • Designed and taught curriculum in Network Security, Cryptography, AI, and Advanced Statistics.
  • Led institution-wide projects on Deep Learning Applications in cybersecurity and computer vision.
  • Created virtual lab environments using Wireshark, NS2, GNS3 for simulating complex network protocols.

Research Publications

Deep Learning-Based Traffic Detection in Cloud Computing Environment

IEEE ICCA 2024

View Publication

Hybrid Deep Learning Model for Network Intrusion Detection

IEEE Conference, 2022

View Publication

Deep Learning-Based Solar Radiation Forecasting Using Hybrid Neural Network Learning

AIP Conference Proceedings, 2025

View Publication

A Review on Emerging AI Technologies in Banking and Finance

ESI 2024 Conference Proceedings

View Publication

A Review on Routing Protocols in Mobile IoT Networks Based on SDN

IEEE ICAAI 2024

View Publication

Security Challenges in IoT-Cloud Environment

Journal of Oriental Research Madras, 2021

View Publication

Granted Patents

Stress Detection Using Machine Learning

Granted – Oct 18, 2024

AI-Based Medical Report Processing Device

Granted – Feb 18, 2025

Education & Skills

Academic Degrees

Ph.D. – Computer Science & Engineering

Shri Venkateshwara University, India (2018–2022)

Research: Network Coding & Image Processing

M.E. – Process Control Engineering

Netaji Subhas Institute of Technology (NSIT), Delhi (2011–2013)

Thesis: AI-based Emotion Recognition Using Power Method Algorithm

B.E. – Electronics & Communication Engineering

Greater Noida Institute of Technology, India (2005–2009)

Awards

  • Best Research Paper Award, Int. Conf. on CS & AI, Doha (2023)
  • Best Student Paper Award, Nat. Conf. on Emerging Tech, UAE (2013)
  • GATE 2010: Percentile Score – 98.7

Technical Stack

Core Domains

Artificial Intelligence Machine Learning Cybersecurity Data Science Deep Learning Network Security Cloud Computing

Programming & AI Tools

Python Java C++ MATLAB TensorFlow PyTorch Scikit-learn

Certifications

AWS Cloud Practitioner Microsoft Azure COMPTIA Security+ CCNA Routing & Switching AI Fundamentals (IBM/Intel) CyberARK Trustee Level

IEEE Member (No. 92658052)

Also affiliated with ACS, WiCyS, Inst. of Engineers (Qatar), Doha Women Forum.