Abhishek Toofani is a researcher in Computer Science with specialization in Knowledge-Based Explainable Artificial Intelligence Systems. He has more than ten years of experience in teaching, research, and academic administration, with expertise in Artificial Intelligence, Machine Learning, Soft Computing, and Web Technology.
He has published widely in SCIE and Scopus-indexed journals and presented at international conferences, earning Best Paper Awards for his contributions. His research spans explainable AI, fuzzy systems, evolutionary computation, and intelligent optimization.
He has held academic and leadership roles, including Assistant Professor at Hindustan College of Science and Technology, Mathura, and IT Head at Baba Mastnath University, Rohtak.
He has also been actively involved in freelance consultancy and project development across diverse domains. During his doctoral research, he contributed to the MHRD Virtual Lab project in collaboration with IITs, supporting the advancement of digital education infrastructure at the national level.
In addition to research and consultancy, he serves as a reviewer for IEEE Access and participates in technical program committees of major IEEE-sponsored conferences.
His current academic work emphasizes transparent and interpretable machine learning systems, aimed at making AI more trustworthy and application-ready.
Google Scholar:
https://scholar.google.com/citations?user=-IYi_FUAAAAJ&hl=en
