Assistant Professor at GL Bajaj Institute of Management and Research, Greater Noida, India.
A committed educator and researcher, Dr. Ayasha Malik specializes in Machine Learning and Information Security. With her expertise in artificial intelligence applications, she has made significant contributions to both teaching and research. Over the years, she has mentored students, published research in esteemed journals, and collaborated on projects focusing on AI-based cybersecurity solutions.
Her work aims to bridge theoretical advancements with real-world applications, making significant strides in secure AI technologies and human-computer interaction models.
Publication Profile
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Educational Details
Dr. Ayasha Malik holds a Ph.D. in Machine Learning from the School of Computer Science and Engineering, Sharda University (2021). She completed her M.Tech. in Information Security (2019) at the Ambedkar Institute of Advanced Communication Technologies and Research, Guru Gobind Singh Indraprastha University (NSIT), securing a CGPA of 8.65. Her B.Tech. in Computer Science & Engineering (2017) was awarded by Raj Kumar Goel Institute of Technology and Management, APJ Abdul Kalam Technical University, Lucknow, with a 71.68% score.
Dr. Malik completed her HSC (2013) in the Science stream from P.C School (CBSE) with 62.20% and her SSC (2011) from P.C Institute (CBSE) with a CGPA of 8.2.
Professional Experience
Dr. Malik has a strong academic background with over four years of teaching and research experience in reputed institutions:
- GL Bajaj Institute of Management and Research, AKTU – Assistant Professor (Feb 2025–Present)
- IIMT College of Engineering, AKTU – Assistant Professor (August 2023–Feb 2025)
- Delhi Technical Campus (DTC), GGSIPU – Assistant Professor (Sept 2022–Aug 2023)
- Noida Institute of Engineering and Technology (NIET), AKTU – Assistant Professor (Jan 2021–Aug 2022)
- IEC Group of Institutions (IECGI), AKTU – Assistant Professor (Aug 2019–Nov 2020)
- INMANTEC Institute, AKTU – Assistant Professor (Jan 2019–July 2019)
Research Interest
Dr. Malik’s research focuses on Machine Learning, Artificial Intelligence, and Information Security, with an emphasis on:
- Deep learning applications in cybersecurity
- Speech and image recognition models
- AI-driven data privacy solutions
- Human-computer interaction in intelligent systems
She is particularly interested in developing machine learning algorithms for secure computing environments, aiming to integrate AI into cybersecurity frameworks to enhance digital protection.
Author Metrics
Dr. Malik has contributed to several international journal publications and conferences, particularly in speech emotion recognition, AI-based security systems, and machine learning for cybersecurity. Her research has been cited in prominent academic circles, reinforcing her impact in the fields of artificial intelligence and information security.
Top Noted Publication
Conference Paper: Harnessing Data Mining for Improved Hindi Isolated Speech Recognition
Authors: Ayasha Malik, Veena Parihar, Shrikant A. Mapari, Malathy Sathyamoorthy, Shilpa Saini
Publication Type: Conference Paper
Citations: 0
Abstract:
This research explores the application of data mining techniques to enhance Hindi isolated speech recognition. The study leverages machine learning models to improve accuracy and efficiency in recognizing isolated words in the Hindi language. The work focuses on feature extraction, classification, and the impact of data mining methodologies on speech processing. The findings contribute to the development of intelligent speech interfaces for Hindi language users in human-computer interaction systems.
Book Chapter: Harnessing the Power of Artificial Intelligence in Software Engineering for the Design and Optimization of Cyber-Physical Systems
Authors: Shubham Tiwari, Ayasha Malik
Publication Type: Book Chapter
Citations: Not available
Abstract:
This book chapter examines how Artificial Intelligence (AI) is revolutionizing software engineering in the design and optimization of Cyber-Physical Systems (CPS). The chapter highlights AI-driven methodologies, including machine learning, deep learning, and reinforcement learning, to enhance CPS performance and security. It discusses AI-based automation, fault detection, and predictive analytics, offering insights into next-generation smart systems that integrate computational intelligence with physical infrastructure.
Conclusion
Dr. Ayasha Malik is a highly qualified researcher with strong expertise in machine learning, AI security, and human-computer interaction. Her academic background, publications, and teaching contributions make her a strong candidate for the Best Researcher Award.
To further solidify her standing, she can increase citations, enhance industry collaborations, and gain more international research exposure. With these improvements, she could be a leading AI researcher in cybersecurity and intelligent systems.