Dr. Suhail Javed Quraishi – Academic Leader and Researcher in Computer Science and Engineering

Dr. Suhail Javed Quraishi is a distinguished academician, researcher, and administrator with over 17 years of academic experience and three years in the industry. His expertise spans machine learning, cloud computing, software engineering, and academic administration. He has played a crucial role in shaping the education landscape by mentoring students, designing curriculums, and leading key academic programs at top institutions.

Currently, he serves as the Head of the Department and Associate Dean (Officiating) of Computer Applications at MRIIRS, Faridabad, a NAAC A++ Deemed University. He has also held leadership roles at Chandigarh University and Invertis University, contributing significantly to research initiatives and academic quality enhancement.

Academic and Professional Credentials

Dr. Quraishi holds a PhD in Computer Science and Information Technology with a specialization in Machine Learning from MJP Rohilkhand University, Bareilly. He earned his Master of Technology in Computer Science and Engineering with a focus on Software Engineering from Aligarh Muslim University and completed his Bachelor of Engineering in Computer Science and Engineering from SRMS CET, MJP Rohilkhand University.

He has qualified the UGC NET in Computer Science and Applications in June 2012 and successfully cleared the GATE examination in both 2006 and 2007.

Certifications and Specializations

Dr. Quraishi has earned multiple prestigious certifications that enhance his expertise in emerging technologies. He holds a Microsoft Technology Associate certification in Cloud Fundamentals, an AWS Fundamentals Specialization from Coursera, and a Big Data Security and Privacy certification from EIT Digital through Coursera. He is also certified as an Innovation Ambassador by the Ministry of Education and has completed Hadoop and Big Data certifications from IBM Developer Skills Network. Additionally, he has obtained an accreditation certification for undergraduate engineering programs from NITTTR, Bhopal, along with various NPTEL and IIRS ISRO certifications in specialized technical areas.

Academic Leadership and Contributions

Dr. Quraishi has held various leadership roles in reputed institutions, playing a key role in academic innovation and research. He has served as the Program Leader for the Master of Engineering in Cloud Computing at AIT-CSE, Chandigarh University, and as the Departmental Mentor Coordinator at AIT-CSE, Chandigarh University. He was also the NPTEL Coordinator and IIRS ISRO Coordinator at Invertis University, Bareilly, and the Convener of the Institute’s Innovation Council at Invertis University. His contributions to national education initiatives include serving as a Primary Evaluator in Toycathon 2021, a competition organized by the Ministry of Education.

Research and Scholarly Contributions

Dr. Quraishi is actively engaged in research focused on machine learning, cloud computing, and big data analytics. His work is recognized in global academic databases such as Scopus, Web of Science, and Google Scholar. His research identifiers include Scopus ID 57210372712, ORCID ID 0000-0002-0245-2030, Web of Science ID GRE-5917-2022, Google Scholar Profile F8wSocUAAAAJ, Vidwan ID 129766, and Semantic Scholar ID 148120140.

Technical Expertise

Dr. Quraishi specializes in a wide range of technical domains, contributing to both academia and industry. His expertise includes machine learning and artificial intelligence, cloud computing with proficiency in AWS, Microsoft Azure, and Google Cloud, big data analytics and security, software engineering, and DevOps. He also plays a significant role in accreditation and curriculum development, ensuring academic excellence in higher education institutions.

Vision and Future Goals

Dr. Quraishi is committed to fostering excellence in education, research, and technology-driven learning. His vision is to contribute to academic innovation, mentor future technology leaders, and promote interdisciplinary research collaborations.

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