Ms. Roshni Singh | Computer Vision | Best Researcher Award

Delhi Technological University, India

Profile

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🎓 Early Academic Pursuits

Ms. Roshni Singh began her academic journey with a strong foundation in Information Technology, earning her Bachelor of Technology from Sri Sai College of Engineering & Technology, Pathankot, with a commendable score of 75%. Her pursuit of deeper knowledge led her to complete her Master of Technology in Computer Science and Engineering from Madan Mohan Malaviya University of Technology (MMMUT), Gorakhpur, securing 77.2%. With a vision to contribute to innovative technologies, she is currently pursuing a Ph.D. in Software Engineering at Delhi Technological University (DTU), New Delhi, focusing on Human Activity Recognition in Computer Vision since January 2022.

💼 Professional Endeavors

Ms. Singh has garnered valuable academic and industrial experience. She worked as an Assistant Professor (Visiting Faculty) in the Computer Science and Engineering Department at Motilal Nehru National Institute of Technology (MNNIT), Allahabad from January 2019 to January 2022, where she actively engaged in mentoring students and research activities. Prior to academia, she contributed as a Software Developer at IBM Cloud, Gurgaon (2017–2019), and Sysacs Tech Pvt. Ltd., Noida (2013–2014), strengthening her expertise in real-world software systems.

🔬 Research Focus and Contributions

Ms. Singh’s research interest lies in Computer Vision, Image Processing, Deep Learning, and Machine Learning. Her doctoral work targets Human Activity Recognition using deep learning techniques to improve surveillance and security systems. She has authored several high-impact publications in SCIE and Scopus-indexed journals and conferences. Notably, her work on ConvST-LSTM-Net and STAD-ConvBi-LSTM showcases advanced spatio-temporal modeling for abnormal activity detection. Her collaborations have resulted in recognition, including Best Paper Awards at ICICC-2025 and ICRAECA-2025.

🌐 Impact and Influence

Ms. Singh's publications reflect her contribution to both academic and applied research. Her work in journals such as the Journal of Visual Communication and Image Representation and the International Journal of Multimedia Information Retrieval is not only cited in academic circles but also relevant to industries working in surveillance and AI-based systems. Her active participation as a Ph.D. Representative, Research Council Group Member, and Joint Secretary of Reflect DTU highlights her commitment to fostering a strong research culture and academic governance.

📚 Academic Citations & Publications

Her most impactful papers include:

• ConvST-LSTM-Net in International Journal of Multimedia Information Retrieval (IF 3.6)

• STAD-ConvBi-LSTM in Journal of Visual Communication and Image Representation (IF 2.6)

• Multiple conference papers awarded Best Paper Certificates
  Her citation count continues to grow, underscoring her role in advancing the field of intelligent systems and computer vision.

💻 Technical Skills

Ms. Singh is proficient in Python, MATLAB, and cloud computing frameworks. Her development experience is backed by real-world projects, including website development for the Ministry of Road Transport & Highways and High-Performance Computing at IIT Delhi. Her hands-on approach in combining software engineering with AI research gives her a unique edge in her field.

👩‍🏫 Teaching Experience

At MNNIT Allahabad, Ms. Singh contributed to teaching core computer science courses, while also mentoring students in project work and research writing. Her teaching philosophy emphasizes applied learning, fostering critical thinking and innovation in emerging areas like AI and cloud computing.

🏆 Accomplishments & Leadership Roles

Ms. Singh's achievements extend beyond research. She has:

• Represented Ph.D. scholars in departmental meetings at DTU

• Actively contributed to student development via training, placements, and workshops

• Successfully anchored and coordinated Visions'24, a 24-hour hackathon

• Volunteered in various university-level events, showcasing her organizational and leadership capabilities

🧪 Workshops and Faculty Development 🎓

She has upskilled through various FDPs and seminars, including:

• Information Security and Privacy (ISP-2021) at MNNIT

• Applied AI & ML with Python and MATLAB (AICTE Sponsored)

• Cybercrime, NLP, Ethical Hacking, and IPR workshops
  These engagements reflect her ongoing commitment to academic growth and technological awareness.

🌱 Legacy and Future Contributions

Ms. Roshni Singh is poised to make long-term contributions in the intersection of AI, human-centric computing, and education. Her future aspirations include enhancing smart surveillance systems, mentoring young researchers, and fostering international collaborations. With a blend of industry expertise and academic depth, she is shaping up as a key influencer in AI research from India.

📚 Selected Publications

• Title: ConvST-LSTM-Net: Convolutional Spatiotemporal LSTM Networks for Skeleton-Based Human Action Recognition

• Authors: R. Singh, A. Sharma

• Journal: International Journal of Multimedia Information Retrieval

• Year: 2023

• Title: High-Performance Fuzzy Optimized Deep Convolutional Neural Network Model for Big Data Classification Based on the Social Internet of Things

• Authors: B. Shaji, R.L.R. Singh, K.L. Nisha

• Journal: The Journal of Supercomputing, Vol. 79 (9), pp. 9509–9537

• Year: 2023

• Title: Privacy Preserving in TPA for Secure Cloud by Using Encryption Technique

• Authors: R. Singh, S. Prakash

• Journal: 2017 International Conference on Innovations in Information, Embedded and Communication Systems

• Year: 2017

• Title: Education and Learning: Preliminary Findings from the Young Lives Round 5 Survey in India

• Author: R. Singh

• Journal: Young Lives

• Year: 2017

• Title: Enhancement of Resource Allocation Using Load Balancing in Cloud Computing

• Authors: R. Singh, S. Prakash

• Journal: International Journal of Advanced Research in Computer Science, Vol. 8 (5)

• Year: 2017