Priyanka Goel

Priyanka Goel

Assistant Professor - Senior Scale

Profile Summary

Priyanka Goel is an experienced academician with over fourteen years of teaching experience in Computer Science and Engineering. She completed her B.Tech from GBTU Lucknow and M.Tech from IFTMU, and is currently pursuing her Ph.D. from NIT Kurukshetra in the domain of the Dark Web.

She has authored a book on Machine Learning and Cognitive Intelligence using Python and has contributed to the academic community as a reviewer for IEEE and other international conferences. Her professional interests focus on emerging technologies, secure computing systems, and intelligent data-driven solutions.

Work Experience

Priyanka Goel has over fourteen years of teaching experience in Computer Science and Engineering. Prior to joining UPES, she served as Assistant Professor at MIT Moradabad from 2012 onwards, where she taught core subjects, mentored student projects, and contributed to academic development initiatives.

Research Interests

Network Security | Machine Learning | Deep Learning | Dark Web Analytics | Cybersecurity | Intelligent Computing

Teaching Philosophy

Priyanka Goel believes in creating a positive and supportive learning environment by guiding students throughout their learning journey. She connects theoretical concepts with real-world applications and encourages active participation through discussions, quizzes, and collaborative learning. She also emphasizes the role of education in developing ethical values and responsible citizenship alongside technical expertise.

Courses Taught

Computer Organization and Architecture | Computer Networks | Compiler Design | Data Structures | Parallel Algorithms | Graph Theory | Artificial Intelligence | Theory of Computation

Awards and Achievements

Qualified GATE twice. Recognized among NPTEL toppers in courses such as Internet of Things and Software Testing.

Scholarly Activities

Priyanka Goel has mentored numerous B.Tech major projects across diverse domains in computer science. She has authored a book on Machine Learning and Cognitive Intelligence using Python and actively contributes as a reviewer for IEEE and international conferences.

Her scholarly interests include Network Security, Dark Web research, Artificial Intelligence, and advanced computing systems. She remains committed to integrating research with teaching and promoting innovation-driven learning.