Shahina Anwarul

Shahina Anwarul

Assistant Professor (Selection Grade)

Profile Summary

Shahina Anwarul is a dedicated, research-oriented and reliable professional with M.Tech degree in Information Security from NIT Allahabad in 2016 and B.Tech degree in Computer Science and Engineering from Uttar Pradesh Technical University, Lucknow in 2013. In addition to this, Shahina has qualified NET & JRF in 2022. She has completed an esteemed women empowerment program ‘Shakti’ conducted by UPES. She is a Quick Heal Certified Cyber Security Professional (QCSP). She is also a certified Ethical Hacker from EC Council. Presently, she is working as an Assistant Professor-Selection Grade in Systemics Cluster, School of Computer Science, UPES, Dehradun. She is currently pursuing her PhD Degree from UPES, Dehradun. She has more than 7 years of experience in academics and research. Her research interest lies in Deep Learning, Image Processing, Computer Vision and Information Security.

Work Experience

With over 7 years of experience in teaching, mentoring, and research, Shahina has cultivated a deep passion for education and a commitment to student success. Following her post-graduation, she joined the UPES in 2016 as an Assistant Professor. Over time, she progressed to the esteemed position of Assistant Professor (Selection Grade). She received the esteemed Best Faculty Award from School of Computer Science at UPES for the year 2022, highlighting her exceptional teaching abilities. She was also nominated for the Best Faculty Award from the School of Computer Science at UPES in 2021.

Research Interests

Deep Learning, Image Processing, Computer Vision, Information Security

Teaching Philosophy

Shahina’s teaching philosophy centers on fostering active learning, empowering students to become critical thinkers, and facilitating their holistic development. She believes that education is a collaborative journey, where she serves as a guide, facilitator, and mentor, enabling students to construct knowledge, develop essential skills, and cultivate a passion for lifelong learning. By creating an inclusive and supportive learning environment, she encourages active participation and empower students to take ownership of their learning journey. She strives to cultivate an atmosphere of respect, open communication, and intellectual curiosity, where students feel comfortable engaging in discussions, asking questions, and challenging ideas.

Courses Taught

Shahina Anwarul teaches both core and domain-specific subjects. The list of subjects that she has taught:

  • Computer Graphics
  • Data Structures using C
  • Principles of Programming Languages
  • Computer programming in C
  • Information Security
  • Social and Web Analytics
  • Information Security Governance
  • IT Systems Security
  • IT Business Continuity & Disaster Recovery Planning
  • Open Source and Open Standards
  • IT Infrastructure Landscape Overview
  • Fundamentals of Computer Science

Awards and Grants

Shahina Anwarul has received notable recognition and awards for her contributions to the field of computer science and technology. She was honored with the prestigious Best Faculty Award for the year 2022-2023 in the School of Computer Science, acknowledging her outstanding teaching, research, and commitment to student development. She received Best Paper award for the research ‘An Automated Video Password-Based Authentication System using Electrocardiogram’, International Conference on Innovation, Research and Challenges in Emerging Technologies, Panipat.

Scholarly Activities

Shahina's scholarly activities have made a significant impact on her field of expertise. She has successfully published several research papers in esteemed SCI/Scopus-indexed journals and conference proceedings, demonstrating her expertise and the depth of his investigations. These publications showcase his ability to critically analyze complex problems, propose innovative solutions, and effectively communicate her findings to the academic community. Her research papers delve into diverse topics such as Information Security, Deep Learning, IoT, and Image Processing. Her work demonstrates a deep commitment to research excellence and a desire to drive progress in these fields.