Lt. (Dr.) Alpna Sharma is a seasoned academic professional and technology expert with extensive experience in information technology, data science, and software development. Currently serving as an Assistant Professor (Selection Grade) at the Vivekananda School of Information Technology (VSIT) under the aegis of Vivekananda Institute of Professional Studies-Technical Campus (VIPS-TC), Dr. Sharma has established herself as a leader in both academia and professional training. Her expertise spans across diverse areas, including Java programming, data science, deep learning, genomic data science, and machine learning. With a strong academic background, rich teaching experience, and a passion for continuous learning, she has made significant contributions to the fields of computer science and information technology.
Educational Background and Academic Excellence
Dr. Alpna Sharma’s academic journey reflects her commitment to excellence and professional growth. She earned her Ph.D. from Banasthali Vidyapith University, Rajasthan, reinforcing her expertise in computer science and information technology. Her advanced knowledge and research skills have positioned her as a key figure in the academic and professional community.
She holds an M.Tech. in Information Technology from Karnataka State Open University (KSOU), where she graduated with First Division in 2013. Additionally, she earned an MCA (Master of Computer Applications) from Punjab Technical University in 2006, also securing First Division. Her academic foundation was established with a B.Sc. from Himachal Pradesh University in 2001.
Dr. Sharma’s strong academic credentials have provided her with a deep understanding of core programming, data structures, and software development, enabling her to deliver impactful learning experiences to her students.
Professional Training and Certifications
Dr. Sharma’s professional expertise is backed by a series of prestigious certifications and training programs. She completed the Pre-Commissioned Course at the Officers Training Academy (OTA), Gwalior, from October 7, 2024, to December 22, 2024, further strengthening her leadership and decision-making capabilities.
Her technical proficiency is reflected in her completion of several advanced courses from leading institutions:
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Programming in Java – Topped the exam through Swayam-NPTEL
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Deep Learning – 12-week advanced course from Swayam-NPTEL
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Bioinformatics: Algorithms and Applications – Swayam-NPTEL
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The Joy of Computing Using Python – Swayam-NPTEL (2021)
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Introduction to Machine Learning – IIT Kharagpur (Swayam-NPTEL)
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Python for Genomic Data Science – Johns Hopkins University (Coursera)
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Genomic Data Science with Galaxy – Johns Hopkins University (Coursera)
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Introduction to Genomic Technologies – Johns Hopkins University (Coursera)
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Neural Networks and Deep Learning – Johns Hopkins University (Coursera)
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Dot Net Technology – Six-month professional course from Aptech Institute (2008)
These certifications reflect Dr. Sharma’s commitment to staying at the forefront of technological advancements and continuously expanding her knowledge base. Her ability to integrate this expertise into her teaching and research enhances the learning experience for her students.
Academic and Professional Experience
Dr. Sharma’s professional journey is marked by a blend of academic leadership and industry experience. She has excelled as both a professor and a corporate trainer, demonstrating her versatility and adaptability in different professional environments.
Current Position
Dr. Sharma currently holds the position of Assistant Professor (Selection Grade) at the Vivekananda School of Information Technology (VSIT) under the umbrella of Vivekananda Institute of Professional Studies-Technical Campus (VIPS-TC), New Delhi. Since joining in July 2013, she has been instrumental in shaping the academic curriculum and mentoring students in cutting-edge technologies.
Her teaching portfolio includes a wide range of subjects, such as:
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Data Science
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Java Programming (Core and Advanced)
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VB.NET
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C#
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Data Mining
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Web-Based Programming (PHP)
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Data Structures Using C
Beyond her teaching responsibilities, Dr. Sharma actively organizes various academic events at both the department and institutional levels. Her efforts in fostering a collaborative and innovative learning environment have earned her recognition among her peers and students.
Previous Position
Before transitioning to academia, Dr. Sharma worked as a Dot Net Trainer with Aptech Limited, a global leader in IT training and education, from December 2008 to February 2013. In this role, she trained corporate professionals and students in .NET technologies, helping them acquire industry-relevant skills and certifications. Her ability to translate complex technical concepts into easily understandable terms contributed to her success as a trainer.
Leadership and Military Training
Dr. Sharma’s leadership skills extend beyond the academic and professional spheres. Her completion of the Pre-Commissioned Course at the Officers Training Academy (OTA), Gwalior in 2024 underscores her disciplined approach and strategic mindset. This military training enhanced her ability to lead under pressure, make critical decisions, and foster teamwork—skills that have translated effectively into her academic and professional career.
Her leadership capabilities have been evident in her role as an academic mentor and event organizer at VIPS-TC. She has successfully guided student teams in technical competitions and academic projects, reinforcing her role as a dynamic and inspiring educator.
Contributions to the Field of Computer Science
Dr. Sharma’s expertise in computer science extends beyond teaching and training. Her research interests include artificial intelligence, deep learning, genomic data science, and machine learning. Her ability to integrate these advanced technologies into practical business and academic applications has positioned her as a thought leader in the field.
Her deep knowledge of Java, Python, and .NET technologies allows her to bridge the gap between theory and practice. She has published research papers in reputed journals and actively participates in national and international conferences, where she shares her insights and research findings.
Dr. Sharma’s ability to blend academic knowledge with industry expertise has allowed her to develop innovative solutions in data science and AI. Her contributions to genomic data science, in particular, reflect her capacity to apply AI and machine learning to complex biological data analysis.
Why Lt. (Dr.) Alpna Sharma Stands Out
Dr. Sharma’s ability to balance academic excellence with professional expertise sets her apart in the competitive field of information technology and data science. Her strong academic foundation, combined with her industry experience, enables her to provide a comprehensive learning experience to her students.
Her proficiency in multiple programming languages, machine learning frameworks, and data analysis tools allows her to design and deliver courses that are both technically rigorous and practically relevant. Moreover, her leadership in organizing academic events and mentoring students underscores her commitment to building a vibrant learning community.
Dr. Sharma’s military training further enhances her leadership capabilities, equipping her with the strategic mindset and decision-making skills necessary to navigate complex challenges. This unique combination of technical expertise and leadership acumen makes her a valuable asset to the academic and professional community.
Looking Ahead
As technology continues to evolve, Dr. Alpna Sharma remains committed to advancing the fields of artificial intelligence, machine learning, and data science. Her dedication to continuous learning, coupled with her leadership skills and technical expertise, positions her as a key figure in shaping the future of information technology education.
Dr. Sharma’s career is a testament to the power of knowledge, innovation, and leadership. Her contributions to academia and industry reflect her passion for learning and her drive to empower the next generation of technology professionals.