In today’s rapidly evolving technology landscape, academic professionals play an important role in connecting education, research, and industry needs. Dr. Amreen Khan, Associate Professor in the School of Computing, Department of Computer Science and Engineering at MIT Art, Design and Technology University (MIT ADTU), Pune, is contributing to this evolving ecosystem through academic leadership, research, curriculum development, and professional engagement.
With extensive experience in computer science education and a strong research orientation, Dr. Khan has developed an academic profile spanning Artificial Intelligence, Big Data Analytics, Data Mining, Distributed Systems, Swarm Optimization, and Evolutionary Algorithms.
From Engineering Education to Academic Leadership
Dr. Amreen Khan’s academic career reflects more than a decade of teaching and institutional experience. She began her academic journey as an Assistant Professor at Yashwantrao Chavan College of Engineering, Nagpur, where she worked from June 2009 to June 2015.
She subsequently served as an Assistant Professor (UGC Regular) in the Computer Science and Engineering Department at G. H. Raisoni College of Engineering, Nagpur, from June 2015 to September 2019.
From September 2019 to March 2024, she worked as a Senior Assistant Professor at Bajaj Institute of Technology, Wardha. In May 2024, she joined MIT Art, Design and Technology University, Pune, where she currently serves as an Associate Professor in the School of Computing, Department of CSE.
This progression reflects her continued involvement in higher education, teaching, academic development, and institutional responsibilities.
Strong Academic Foundation in Computer Science
Dr. Khan holds a Ph.D. in Information Technology, along with a Master of Technology in Computer Science and Engineering, Bachelor of Engineering in Computer Science and Engineering, and Diploma in Computer Engineering.
Her academic foundation supports her multidisciplinary interests in emerging areas of computing and data-driven technologies. Her profile also highlights expertise in curriculum design and scientific writing, both of which are increasingly important in modern technology education and research.
Research Interests in AI, Big Data and Data Mining
One of the defining aspects of Dr. Amreen Khan’s academic profile is her research focus on emerging computing technologies.
Her research interests include:
- Data Mining
- Swarm Optimization
- Evolutionary Algorithms
- Big Data Analytics
- Distributed Systems
- Operating Systems
- Artificial Intelligence
These areas are closely connected to some of the most important technological developments of the digital era. Artificial intelligence and big data analytics, for example, are increasingly being applied to decision-making, automation, optimization, and intelligent systems across industries.
Research Publications and Intellectual Contributions
Dr. Khan has developed a growing research portfolio that includes 7 journal publications, including Q1 publications, 10 conference papers, 3 Scopus-indexed book chapters, 1 book, 3 patents, and 1 copyright.
Her research profile demonstrates an interest not only in publishing academic work but also in translating research into broader scholarly and intellectual contributions through books, patents, and other forms of academic output.
Academic and Professional Engagement
Beyond teaching and research, Dr. Khan has actively participated in several academic and professional activities. She is listed as a Senior Member of IEEE, Life Member of ISTE, and Member of IAENG.
Her academic responsibilities and professional contributions have also included roles such as:
- Springer Reviewer
- Session Chair
- Paper Setter
- Moderator
- Board of Studies Member
- External Examiner
- Smart India Hackathon (SIH) Evaluator
These activities demonstrate her involvement in academic evaluation, curriculum-related responsibilities, research review, and technology-focused educational initiatives.
Contribution to Faculty Development and Knowledge Sharing
Knowledge sharing is another important component of Dr. Khan’s professional activities. Her profile indicates that she has organized STTPs, FDPs, workshops, and international conferences, while also attending 25+ STTPs, FDPs, workshops, and webinars.
Such activities contribute to continuous professional development and help educators and researchers stay connected with emerging technologies, methodologies, and developments in computer science.
Technology Skills and Technical Expertise
Dr. Khan’s technical skill set covers programming, data analytics, databases, visualization, and big-data technologies. Her profile lists experience with Python, R, SQL, WEKA, Tableau, Power BI, Apache Spark, PySpark, HDFS, MySQL, MongoDB, LaTeX, and Mendeley.
This combination of programming, analytics, visualization, database, and research tools aligns closely with her research interests in artificial intelligence, data mining, and big data analytics.
Building the Next Generation of Technology Professionals
Modern computer science education requires more than theoretical knowledge. Students increasingly need exposure to research, emerging technologies, practical tools, and industry-oriented problem solving.
With her experience in curriculum design, scientific writing, academic evaluation, research, and technology-focused education, Dr. Amreen Khan is positioned to contribute to this broader educational mission. Her stated strengths include dedication, hard work, strong industry connect, and team building, highlighting her emphasis on collaborative academic environments.
Looking Ahead
As artificial intelligence, big data, distributed computing, and intelligent optimization continue to transform industries, academic professionals with interdisciplinary expertise have an important role to play in preparing students and advancing research.
Dr. Amreen Khan’s journey—from teaching roles in Nagpur and Wardha to her current position as an Associate Professor at MIT ADTU Pune—reflects a sustained commitment to computer science education and research. Her work across AI, data mining, big data analytics, distributed systems, and evolutionary computing, combined with her publication and professional activities, represents a multifaceted academic profile.
With continued engagement in research, academic leadership, professional development, and emerging technologies, Dr. Khan’s work contributes to the ongoing evolution of computer science education, artificial intelligence research, and data-driven innovation.