Prof. (Dr) Seema Verma
Professor

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Qualification
PhD, M.Tech.(Hons., CSE), B.Tech.(CSE), UGC NET
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College/University
Ph.D: Thapar University, Patiala
M.Tech.: J.C. Bose University
B.Tech.: Kurukshetra University
Dr. Seema Verma is working as Professor in the Department of Computer Science & Engineering at GD Goenka University, Gurugram. She has over 24 years of academic, research, and administrative experience.
She completed her B.Tech in Computer Engineering from Kurukshetra University and M.Tech (Hons.) in Computer Science & Engineering from J.C. Bose University of Science and Technology, YMCA, Faridabad, where she was the University Topper. She earned her Ph.D. from Thapar University, Patiala, and is also UGC-NET qualified.
Dr. Verma has published numerous research papers in reputed SCI, Web of Science, and Scopus-indexed journals and conferences, and holds six patents. She has organized several funded FDPs and has served as Organizer, Conference Chair, Session Chair, Keynote Speaker, Resource Person, and Board of Studies member at various academic platforms.
She is an active member of IEEE and a life member of ISTE. Her research interests include AI/ML, Deep Learning, and Generative AI.
Education
Ph.D : Thapar University, Patiala
M.Tech.(Hons., CSE): J.C. Bose University
B.Tech. (CSE): Kurukshetra University UGC-NET Qualified
Research
Published research in reputed SCI/SCIE, Web of Science and Scopus-indexed journals and international conferences in AI/ML, Deep Learning, Generative AI and Cryptography.
Publication 60+ research publications in SCI/SCIE, Web of Science and Scopus-indexed journals and international conferences.
Research Interests Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Large Language Models, Cryptography
Case Studies Developed and supervised AI- and Deep Learning-based case studies, research projects, and student dissertations.
Books/ Book Chapters 10
Conferences 40
Courses/Programmes
Conducted and coordinated numerous AICTE ATAL, E&ICT Academy, IIT Roorkee, MeitY, and NITTTR-supported Faculty Development Programmes (FDPs), certification programmes, workshops, and expert lectures in Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.
Teaching Interests
Artificial Intelligence, Machine Learning, Deep Learning, Generative AI
Work Experience
25 years of academic, research, and administrative experience.
MDPs/FDPs
More than 30
Corporate Mentoring
Mentored students through industry internships, live projects, certification programmes, and industry-academia collaborations.
Board Memberships
Contributed to curriculum development and academic governance as a Board of Studies (BoS) Member and Coordination Committee Member.
Editorial Positions
Editor, DTC Journal of Computational Intelligence; Editor, Need and Impact of Emerging Technologies for Developing Smart City; Editor, AICMT 2023 Conference Proceedings (Taylor & Francis); Editor, RTCSIT-2012 & RTCSIT-2013 Conference Proceedings.
Reviewer Experience
Reviewer of several Ph.D. thesis; Reviewer for international SCI/SCIE/Scopus-indexed journals and international conferences.
Professional Service
Demonstrated academic leadership by leading curriculum development, accreditation initiatives, research supervision, faculty development programmes, and national and international conferences, while serving as Conference Chair/Convener, Session Chair, and Keynote/Invited Speaker.
Professional Memberships
IEEE Active membership, ISTE Life Membership
