Amreen Shafique | Software Engineering | Best Researcher Award

Dr. Amreen Shafique | Software Engineering | Best Researcher Award

Phd Scholar at Dalian University of Technology, China

Amreen Shafique is a dedicated Ph.D. scholar in Software Engineering at Dalian University of Technology, China. She has a strong academic background in computer science, complemented by practical teaching experience and a growing publication record in artificial intelligence and cybersecurity. Passionate about research and innovation, she aims to contribute to cutting-edge technologies such as Explainable AI, deep learning, and software-defined networking. Her analytical mindset, programming skills, and commitment to academic excellence define her professional identity.

Publication Profile 

Scopus

Educational Background 🎓

  • Doctor of Philosophy (Ph.D.) in Software Engineering
    Dalian University of Technology, China
    2022 – Ongoing

  • Master of Science (MS) in Computer Science
    Mohi-ud-din Islamic University, Azad Kashmir, Pakistan
    2016 – 2018
    CGPA: 3.16 / 4.00

  • Bachelor of Science (BS) in Computer Science
    The University of Azad Jammu and Kashmir, Pakistan
    2007 – 2011
    CGPA: 2.72 / 4.00

Professional Experience 💼

  • Lecturer, Computer Science
    University of Kotli, Azad Kashmir, Pakistan
    2018 – 2022
    Delivered undergraduate courses, guided student projects, and participated in curriculum development.

  • Lecturer, Computer Science
    Leads Group of Colleges, Azad Kashmir, Pakistan
    2014 – 2018
    Engaged in teaching foundational and advanced computer science subjects.

Research Interests 🔬

  • Explainable Artificial Intelligence (XAI)

  • Cyber Security

  • Wireless Networking and Security

  • Deep Learning Enabled Robotics and Automation

  • Software Defined Networking (SDN)

  • Advanced Neural Networks

  • Generative Models

Strengths and Technical Skills

  • Technical and Research Writing (English)

  • Critical Analysis of Literature

  • Data Analytics

  • Programming Languages: MATLAB, Python, Java

Conclusion🌟

Amreen Shafique is an emerging researcher with a strong vision for integrating ethical AI, cybersecurity, and intelligent automation into real-world solutions. Her commitment to academic growth, combined with hands-on teaching and research experience, positions her as a valuable contributor to any forward-thinking research team or academic institution. She seeks opportunities that will foster collaboration, innovation, and impactful scientific contributions.

Publications 📚

1️⃣ AI Models and Ethical Considerations in Research

🧠📜 This publication explores the integration of ethical frameworks in the development and deployment of artificial intelligence models, emphasizing transparency, bias mitigation, and responsible innovation.


2️⃣ PypiGuard: A Novel Meta-Learning Approach for Enhanced Malicious Package Detection in PyPI Through Static-Dynamic Feature Fusion

This research presents PypiGuard, a cutting-edge hybrid model that combines static and dynamic analysis techniques using meta-learning to detect malicious packages in Python’s official package repository (PyPI), enhancing cybersecurity and trust in open-source software ecosystems.


CHANDRA SHEKHAR RAJORA | ELECTRONICS AND COMMUNICATION | Best Researcher Award

Mr. CHANDRA SHEKHAR RAJORA | ELECTRONICS AND COMMUNICATION | Best Researcher Award

Associate Professor at Jaipur National University, India

Chandra Shekhar Rajora is a seasoned academic and professional with over 18 years of experience in education, training, and research. Currently a Coordinator and Assistant Professor at Jaipur National University (JNU), Jaipur, he has significantly contributed to academic leadership, industry collaboration, and student development.

Professional Profile 

Scopus

Education

  • M.Tech. in Digital Communication, Rajasthan Technical University
  • MBA in Marketing and HR, Rajasthan Technical University (2011)
  • B.E. in Electronics & Communication, University of Rajasthan (2005)

Professional Experience

  • Coordinator and Assistant Professor, JNU, Jaipur (2012–Present): Engaged in curriculum enhancement, student mentoring, and industry placement initiatives.
  • Training & Placement Officer, RCEW, Jaipur (2006–2012): Managed industry collaborations, job fairs, and training programs.
  • Jr. Engineer, Infinium India Ltd. (1 year): Specialized in VSAT system installations for telecommunication projects.

Research Interests

Microstrip filters, optical amplifiers, TQM in SMEs, and advancements in digital communication technologies.

Awards and Honors

  • Represented JNU at the Invest Rajasthan Summit 2022.
  • Lifetime member of ISTE and CSI.
  • Member of the Indian Science Congress Association (2023-24).

Conclusion

Chandra Shekhar Rajora’s blend of academic, professional, and research achievements positions him as a commendable candidate for the Best Researcher Award. His impactful contributions reflect his dedication to education, innovation, and industry-academic synergy.

Publications 📚

  • “Optical system based data classification for diabetes retinopathy detection using machine language with artificial intelligence”
    • Authors: Suraj Malik, S. Srinivasan, Chandra Shekhar Rajora, Sachin Gupta, Mohammed Mujeer Ulla, Neeraj Kaushik
    • Journal: Optical and Quantum Electronics
    • Year: 2023
    • Volume and Issue: Volume 55, Issue 10
    • Article Number: 896
    • DOI: 10.1007/s11082-023-05193-x
    • Citations: As of now, this article has been cited once.
    • Note: This article has been retracted.
      SpringerLink
  • “IoT Based Smart Home with Cutting-Edge Technology for IDS/IPS”
    • Authors: Chandra Shekhar Rajora, Ankit Sharma
    • Conference: 2nd IEEE International Conference on Advanced Technologies in Intelligent Control, Environment, Computing and Communication Engineering (ICATIECE 2022)
    • Year: 2022
    • DOI: 10.1109/ICATIECE53134.2022.10047483
    • Citations: This conference paper has been cited twice.