Dr. Pooja Gupta

Dr. Pooja Gupta is currently serving as a faculty member in the Department of Computer Science and Engineering at Delhi Technological University (DTU). She obtained her Ph.D. in 2023 and M.Tech. in 2016 in Computer Science and Engineering from the Indraprastha Institute of Information Technology Delhi (IIITD). Her doctoral research, titled “Information Fusion using Convolutional Transform Learning,” focuses on advanced machine learning and information processing techniques.

She completed her B.Tech. in Information Technology from the Indira Gandhi Institute of Technology (IGIT), GGSIPU in 2014. Dr. Gupta’s research contributions have been published in several reputed SCI/SCIE-indexed international journals and high-quality conferences.

She is also the recipient of highly competitive national awards, including GATE (99.2 percentile) and the prestigious UGC NET-JRF, where she was selected among only 26 awardees nationwide.

Kindly visit below platforms to know more about her : 

Linkedin Profile : https://www.linkedin.com/in/pooja-g-8462ba50/

Google Scholar Profile : https://scholar.google.com/citations?user=z-VzYHkAAAAJ&hl=en&authuser=2

• Assistant Professor, Delhi Technological University, Department of Computer Science and Engineering, DTU (March 2025 - Present).
• Assistant Professor, Vivekananda Institute of Professional Studies, Technical Campus, Department of Computer Science and Engineering (August 2024 – March 2025).
• Assistant Professor(Guest)., Lady Shri Ram College for Women, University of Delhi, Department. of Computer Science (September 2018 – November 2018).
• Assistant Professor.,  Department of Computer Science and Engineering, National Institute of Technology, Delhi (NITD) (August 2017 – May 2018)
• Senior Software Developer Engineer. Next Door learning Solutions Pvt. Ltd. (OnlineTyari), Gurgaon(Haryana) (July 2017 – July 2017).
• Software Developer Engineer. Next Door learning Solutions Pvt. Ltd. (OnlineTyari), Gurgaon(Haryana) (June 2016 – June 2017)

• Compiler Design 
• Machine Learning 
• Object Oriented Programming using JAVA 
• Object Oriented Programming using C++
• Advanced Deep Learning 
• Business Intelligence and Analytics  
• Network Security 
• Network Programming 
• Cloud Computing 
• Online Social Media and Marketing Analytics

-- NA --

JOURNAL PUBLICATIONS

• P. Gupta, A. Majumdar, E. Chouzenoux and G. Chierchia (2024). "DeConFCluster: Deep Convolutional Transform Learning based Multiview Clustering Fusion Framework", Signal Processing, Volume 224, 109597, ISSN 0165-1684, https://doi.org/10.1016/j.sigpro.2024.109597. (Impact Factor : 3.6)
• P. Gupta, A. Majumdar, E. Chouzenoux and G. Chierchia (2023). "DeConDFFuse : Predicting Drug-Drug Interaction using joint Deep Convolutional Transform Learning and Decision Forest fusion framework", Expert Systems with Applications, Volume 227, 120238, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2023.120238. (Impact Factor : 7.5)
• R. Bardhan, P. Gupta and A. Majumdar (2022). "GeoInFuse-GeoInformatics Fusion for urban form classification in data-scarce heterogeneous cities: A case of Mumbai. India". Cities. Vol. 127, pp. 103762, issn 0264-2751, doi:https://doi.org/10.1016/j.cities.2022.103762. (Impact Factor : 6.6)
• P. Gupta, A. Majumdar, E. Chouzenoux and G. Chierchia, (2021). "SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems". Expert Systems with Applications, Elsevier, Vol. 169, pp. 114206. (Impact Factor : 7.5)
• P. Gupta, J. Maggu, A. Majumdar, E. Chouzenoux and G. Chierchia, (2020). "DeConFuse: A Deep Convolutional Transform based Unsupervised Fusion Framework". Special Issue on Understanding and Designing Deep Neural Networks - EURASIP JASP, Springer, Vol. 2020(1), pp. 26. (Impact Factor : 1.9)

CONFERENCE PUBLICATIONS

• P. Gupta, J. Maggu, A. Majumdar, E. Chouzenoux, G. Chierchia, (2020). "ConFuse: Convolutional Transform Learning based Multi-Channel Fusion Framework". EURASIP EUSIPCO 2020.

 

-- NA --

-- NA --

• Qualified UGC NET-JRF in Computer Science & Applications in 2017 (among 26 other qualified candidates nationwide).
• Qualified UGC NET in Computer Science & Applications in 2016.
• Qualified GATE in Computer Science & Information Technology in 2014 (99.2 Percentile, AIR : 1195).

-- NA --

-- NA --

-- NA --

Expert Talks

• Delivered lecture session in Explore Engineering 2025 – an outreach extension activity conducted in Department of Computer Science & Engineering, DTU (July 2025). 

• Delivered a lecture session during the B.Tech 1st Year Orientation Programme (AY 2025–2026) organized by the Department of Computer Science & Engineering, DTU from July 28, 2025 to August 1, 2025. The session, held on July 31, 2025, was on the topic “Introduction to Research and its Significance” and aimed at motivating and encouraging students to develop an early interest in research.

• Delivered a lecture on “Information Fusion and Deep Learning in Bioinformatics.” in the 2 days workshop (held from April 28, 2025 - April 29, 2025) on “Applications of Artificial Intelligence and Deep Learning in Various Domains”. The talk covered an introduction to deep learning paradigms and models, the role of information fusion, and their applications in bioinformatics.

FDPs/Trainings Attended

• Participated in Faculty Induction Program for the Newly recruited Assistant Professors of DTU by HRDC, Delhi Technological University (DTU) from December 3, 2025 to December 5, 2025.
• Participated in Professional Development Programme on “Course File Preparation and Question Paper Setting based on OBE" conducted by NITTTR, Chennai from October 13, 2025 to  October 17, 2025 at Delhi Technological University (DTU), New Delhi.
• Completed the following Online Eight Teacher Training Modules of National Initiative of Technical Teachers Training (NITTTR) in September 2025:
  • Module 1: Orientation Towards Technical Education and Curriculum Aspects
  • Module 2: Professional Ethics and Sustainability
  • Module 3: Communication Skills, Modes and Knowledge Dissemination
  • Module 4: Instructional Planning and Delivery
  • Module 5: Technology Enabled Learning and Life-long Self Learning
  • Module 6: Student Assessment and Evaluation
  • Module 7: Creative Problem Solving, innovation and Meaningful R&D
  • Module 8: Instructional Management and Administrative Procedures.
• Participated & completed AICTE Training And Learning (ATAL) Academy Faculty Development Program on Enhancing Internet of Things with Machine Learning: Innovations and Applications at VIPS-TC from December 16, 2024 to December 21, 2024.

-- NA --

Academic Responsibilities

• Faculty Coordinator (Outreach through University website), Media Cell, DTU.
• Faculty Coordinator, e-office Cell, DTU.
• Faculty Coordinator, Internal Quality Assurance Cell (IQAC), CSE Dept. DTU.
• Member of NAAC and Academic Audit Team, CSE Dept. DTU (2025).
• Member of Mid Semester Exam, Distribution Committee, CSE Dept. DTU (2025-26).
• Member of Interview committee for University Student Internship Program (USIP), DTU (2025).
• Member of Registration cum Orientation Committee of B.Tech. admitted students Induction Programme (2025-26).
• Faculty Member of DTU-SAU Committee.