Ruchi Sehrawat
Delhi
Summary
Dynamic educator with experience as an Assistant Professor at GGS Indraprastha University, specializing in artificial intelligence and machine learning applications. Proven ability to engage students and foster a collaborative learning environment, enhancing their software engineering skills. Committed to driving academic excellence and innovation in technology education.
Overview
21
21
years of professional experience
Work History
Assistant Professor
GGS Indraprastha University
Delhi
11.2010 - Current
- Working as Assistant Professor, USIC&T, GGS Indraprastha University.
Lecturer
Amity School of Engineering & Technology
Delhi
02.2010 - 11.2010
- Worked as a Lecturer in Computer Science Department in Amity School of Engineering & Technology.
Lecturer
ITM, Gurgaon (now NCU, Gurugram)
Gurgaon
08.2007 - 06.2009
- Worked as a Lecturer in Information Technology Department in ITM, Gurgaon (now NCU, Gurugram).
Lecturer
JMIT, RADAUR
RADAUR
08.2004 - 06.2005
- Worked as a Lecturer in Information Technology Department in JMIT, RADAUR.
Education
Ph.D. - Information Technology
GGS Indraprastha University
Delhi03.2021
M.Tech - Software Engineering
University School of Engineering & Technology
Kurukshetra12.2007
B.Tech - Information Technology
Haryana College of Technology & Management
Kurukshetra12.2004
Skills
Artificial Intelligence
Software Engineering
Machine Learning Applications
Compiler Design
Publications
P. Dhaka and R. Sehrawat, IntHDCNN: IoT-driven remote cardiac health monitoring with interactive hunt-based deep convolutional neural network, Biomedical Signal Processing and Control, 112, A, 02/01/26, https://doi.org/10.1016/j.bspc.2025.108467, A. Saini and R. Sehrawat, Hybrid Image Encryption Using Chaotic Neural Networks and Camellia with Steganographic Techniques, Optical Memory and Neural Network, 11/12/25, Abhishek and R. Sehrawat, A Multi-Layered Image Encryption Framework Using Henon Chaos and Reframed RSA, Journal of Information and Optimization Sciences, 01/12/25, M. Meena and R. Sehrawat, Lightweight Hierarchical Attention-Compression: An Intelligent Deep Learning Approach for Disease Classification in X-ray Images, African Journal of Biological Sciences, 7, 05, 05/01/25, Abhishek and R. Sehrawat, Enhancing information security and efficiency through integration of neural networks with RSA Cryptography, Journal of Information and Optimization Sciences, 01/01/25, A. Saini and R. Sehrawat, An Intelligent and Efficient CNN-AES Framework for Image Block Encryption with a Multi-Key Approach, Engineering Research Express, 7, 1, 12/01/24, A. Saini and R. Sehrawat, Enhancing Data Security through Machine Learning-based Key Generation and Encryption, Engineering, Technology and Applied science research, 14, 3, 06/01/24, M. Meena and R. Sehrawat, Chest X-Ray Image Classification: DenseNet169 Model for Medical Diagnostics, African Journal of Biological Sciences, 6, 11, 06/01/24, P. Dhaka and R. Sehrawat, Adaptive Ensembled Fusion Based Deep CNN-Bilstm Model for Heart Disease Prediction in IoT, Fusion: Practice and Applications, 14, 1, 01/01/24, P. Dhaka, R. Sehrawat, and P. Bhutani, An Innovative Approach to Cardiovascular Disease Prediction: A Hybrid Deep Learning Model, Engineering, Technology & Applied Science Research, 13, 6, 09/01/23, M. Meena and R. Sehrawat, Application of Classification Techniques on Breast Cancer Prognosis, Research & Review: Machine Learning and Cloud Computing, 2, 1, 04/01/23, M. Meena and R. Sehrawat, Breakdown of Machine Learning Algorithms, Recent Trends in Artificial Intelligence & It’s Applications, 1, 3, 10/01/22, M. Meena and R. Sehrawat, Application of NLP and ML Using a Refined Dataset, Research & Review: Machine Learning and Cloud Computing, 1, 3, 09/01/22, S. Saurabh, R. Sehrawat, Business Predictions through Artificial Neural Networks, International Journal of Innovative Technology and Exploring Engineering (IJITEE), 9, 2020, R. Sehrawat, P. Chandra, U. Ghose, Asymmetric Sigmoidal Activation Function for Feed-Forward Artificial Neural Networks, International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8, 2019, V. Kumar, R. Sehrawat, A Neuro-Genetic Algorithm for Selection of Test Suites in Regression testing, International Journal of Computer Application, 2, 2012, R. Sehrawat, M. Sharma, Comparative Study of Relational Database Model and Multivalue Database Model, International Journal of Information Technology & Knowledge Management, 2, 2008, A. Saini and R. Sehrawat, A Study on Cryptographic Performance: Traditional Versus ML-Enhanced Techniques, International Conference on Applications of Artificial Intelligence in Computational Intelligence and Communication Technologies (ICAAI-2025), 2025, M. Meena and R. Sehrawat, Light-Weight Hierarchical Attention-Compression based Disease Classification from Xray Image, International Conference on Digital Innovations for Sustainability Solutions ICDISS-2025, Faridabad, Haryana, 11/01/25, N. Singh, K. Singh, R. Sehrawat, A. P. Singh, J. Augustine and M. Verma, Revolutionizing Forensic Odontology with Artificial Intelligence: A Systematic Review, 2025 2nd International Conference on Computational Intelligence, Communication Technology and Networking (CICTN), Ghaziabad, Uttar Pradesh, 2025, V. Singh, K. Singh, R. Sehrawat, A. P. Singh, J. Augustine and M. Verma, Deep Learning Techniques for Dental Caries Detection and Prosthodontics: A Systemic Review, 2025 2nd International Conference on Computational Intelligence, Communication Technology and Networking (CICTN), Ghaziabad, Uttar Pradesh, 2025, A. Saini and R. Sehrawat, Strengthening Security of Digital Information Through Physiological Keys and Triple Layer Encryption, Algorithms for intelligent systems, 01/01/25, A. Saini and R. Sehrawat, An Empirical Study of Artificial Intelligence Applications in Data Security, Algorithms for intelligent systems, 01/01/25, Abhishek and R. Sehrawat, Sustainable Image-based Encryption Using Cryptography and Steganography with Autoencoder, Innovations in Sustainable Technologies and Computing, 2024, P. Dhaka, Ruchi Sehrawat, and P. Bhutani, An efficient heart disease prediction model using particle swarm–optimized ensemble classifier model, Elsevier eBooks, 01/01/24, M. Meena and R. Sehrawat, A Healthcare Framework for Image-Based Disease Prediction Through Deep Learning, International Conference on Modern Engineering Science & Management, Pune, Maharashtra, 06/01/23, P. Dhaka and R. Sehrawat, Study on IOT based Smart Disease Detection Model on Machine Learning Techniques for Healthcare Applications, 2022 Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC), Solan, Himachal Pradesh, 2022, A. Trivedi, R. Sehrawat, Wine Quality Detection through Machine Learning Algorithms, International Conference on Recent innovation in Electrical, Electronics & Communication Engineering (ICRIEECE), 2018, P. Chandra, U. Ghose, R. Sehrawat, Effect of Activation Function Symmetry on Training of SFFANNs with RPROP Algorithm, International Conference on Advances in Information Communication Technology & Computing (AICTC), 2016, P. Chandra, A. Prakash, R. Sehrawat, Effect of Activation Function Symmetry on Training of SFFANNs with the Backpropagation Algorithm, 10th International Conference on Intelligent Systems & Control (ISCO), 2016, R. Sehrawat, A. Kumar, Richa, Brief Survey on Fault Tolerance in Feed Forward Artificial Neural Network, National Conference on Recent Trends in Operations Research (NCRTOR), 2013, R. Sehrawat, M. Sharma, Supervised and Unsupervised Learning Approach for Credit Card Fraud Detection, IEEE international Advance Computing Conference (IACC), 2009, M. Sharma, R. Sehrawat, Digitization and Multimedia Data Mining: A review, IEEE international Advance Computing Conference (IACC), 2009, T. Varshney, R. Sehrawat, Data-Driven Analytics for Healthcare: Artificial Intelligence and Machine Learning for Medical Diagnostics, CRC Press, Taylor & Francis, USA, 2025, 9781774917602, 9781003558743, RAINBOW: A Reversible ASCII Substitution System Based on an 11×11 Playfair Matrix, 12/03/25, Filed, A Method for Lightweight Chaotic Text Encryption Using Dynamically Linked Henon Keys, Lorenz-Based Permutation and Zero-Width Steganography, 03/21/25, A System and Method for Chaotic Sequence-Based Key Exchange Protocol with Blockchain Verification, 01/31/25, Priyanka Dhaka, 01510190018, awarded, 01/01/25, Metaheuristic Based Optimization of Heart Disease Prediction using Deep Learning Techniques, Abhishek, 22616490022, pursuing, Information Security with Machine Learning, Munesh Meena, 22616490022, pursuing, Deep Learning Framework for Image Classification in Health Care, Nitendra, 22716490022, pursuing, Development of AI Model of Smile Dental Photographs, Ankita Jain, 27816490024, pursuing, Explainable AI(XAI) for Dental Healthcare, Coordinator at AICTE sponsored AICTE IDEA LAB at GGSIPU, Dwarka Campus, CO-PI in DST sponsored project “Development of AI based Tool for automated 2D-3D comparison of smile photographs with Digital Dental Casts”, Branch Mentor, GGSIPU USIC&T Student Chapter, One week ATAL FDP on Neural Network and Deep Learning, 11/23/20 to 11/27/20, USIC&T, GGSIP University, Delhi, Two weeks ATAL Advanced FDP on Harnessing Generative AI, Machine Learning and IOT for Technological Breakthroughs, TBD, Organised 1 week ACM HASHTECH WEEK, 05/11/22 to 05/17/22, GGSIPU ACM Student Chapter organized various activities, Lives Sessions on C/C++, Roadmap of Web Development, ICPC Coding Mechanism, Chess Tournament, Basics of Arduino, One Day STP on Cybersecurity & Forensics, AAGAZ Orientation of Newly admitted students of University Schools, Annual, Utkrisht internship program for B.tech/M.tech/MCA students, Annual since 2022, ACM-IBM Skillsbuild Cyber security workshop, TBD, Branch Head GGSIPU ACM Student Chapter, Photography competition, AI & ML Introduction, ACM Galactica, One week Basic FDP on AICTE-IDEA Lab, 05/02/22 to 05/07/22, AKGEC, Gaziabad, One week FDP on Internet of Things(IOT): Challenges and Applications, 02/01/21 to 02/06/21, USIC&T, GGSIPU, One week IEEE Online Colloquim on Multidisciplinary Research Problems and Advancements, 03/07/22 to 03/11/22, One week FDP on Basic Idea Lab FDP, 05/02/22 to 05/05/22, AICTE, Member of various School level committees, End-Term Practical Committee, Minor Exam Committee, Teacher Incharge, Member of Summer Training Evaluation Committee, Mid Term Evaluation Committee and Project Evaluation Committee of B.Tech (CSE/IT), M.Tech. (CSE/IT) and MCA (SE) since 2016, Convener and Member of Syllabus Revision Committee of M.Tech.(CSE/IT), B.Tech.(CSE/IT/ECE), MCA(SE), MCA(DD), Member of Alumni meet organizing committee organized by USIC&T, 2022, Admission Officer in document verification of students of B.Tech. (CSE), 2019 onwards, Mentor in Summer Internship program “Utkrisht” organized by USICT ACM Chapter from 08/01/21 to 09/15/21, Member of various University level committees, University Representative in various CETs, Member of Anti Ragging Squad (2016 onwards), Member of Academic Audit Team(2016 onwards), Admission Officer in M.Tech. (CSE/IT) Regular Counselling from 2020-2024, Branch Head of GGSIPU ACM Student Chapter since 2021, Member of Computer Science committee related to MoU between Aviation, India and GGSIPU since 2022, IEEE, ACM, ISTE
Ongoing Projects
- AICTE- IDEA Lab Project, Rs. 110.68 Lacs, GGS Indraprastha University, 2021
- Development of Artificial Intelligence-based tool for Automated 2D-3D Comparison of Smile Photographs with Digital Dental Casts, Dental Technology Innovation Hub at Maulana Azad Institute of Dental Sciences (MAIDS), 2023
Timeline
Assistant Professor
GGS Indraprastha University
11.2010 - Current
Lecturer
Amity School of Engineering & Technology
02.2010 - 11.2010
Lecturer
ITM, Gurgaon (now NCU, Gurugram)
08.2007 - 06.2009
Lecturer
JMIT, RADAUR
08.2004 - 06.2005
Ph.D. - Information Technology
GGS Indraprastha University
M.Tech - Software Engineering
University School of Engineering & Technology
B.Tech - Information Technology
Haryana College of Technology & Management