Dr. Monika Lamba

To pursue a challenging and responsible career opportunity and to be a part of a progressive organization that gives scope to enhance my learning, knowledge, skills and to reach the pinnacle of my profession with sheer determination, dedication and hard work. To serve the organization with positive attitude and efficiency in order to achieve organizational objective and enhance my knowledge simultaneously.

• Quantum Computing
• Deep Learning A-Z: Hands-On Artificial Neural Networks
• Machine Learning A-Z: Hands on Python & R in Data Science
• Complete guide to TensorFlow for Deep Learning with Python
• Data Science: Deep Learning in Python
• Python for Data Science and Machine Learning Bootcamp

• Munjal, G., & Lamba, M., Using Reinforcement Learning in Unity Environments for Training AI Agent., Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications, 2024, 349-373
• J. Lamba, E. Jain, P. Banerji and M. Lamba, Forecasting the Dynamics of Stock Market Prices during COVID 19: An Application of ARIMA Modelling Using Python., 2024 International Conference on Intelligent Systems for Cybersecurity (ISCS), Gurugram, India, 2024, 1-6, 10.1109/ISCS61804.2024.10581302
• Arora, S., & Lamba, M., 3D brain image based tumor classification using ensemble of reinforcement transfer-based belief neural networks., Multimedia Tools and Applications, 2024, 1-28
• Lamba, M., Munjal, G., & Gigras, Y., IBCBML: interpreting breast cancer biomarker using machine learning., Health and Technology, 2024, 1-22
• Lamba, M., & Munjal, G., SLRRT: Sign Language Recognition in Real Time., Supervised and Unsupervised Data Engineering for Multimedia Data, 2024, 1-25
• Lamba, M., Munjal, G., & Gigras, Y., Two-Stage Gene Selection Tactic For Identifying Significant Prognosis Biomarkers In Breast Cancer., International Journal of Computing and Digital Systems, 2024
• Lamba, M., Munjal, G., & Gigras, Y., Identifying Breast Cancer Molecular class using integrated feature selection and deep learning model., International Journal of Bioinformatics Research and Applications, 2023
• Lamba, M., Munjal, G., Gigras, Y. et al., Breast cancer prediction and categorization in the molecular era of histologic grade., Multimed Tools Appl, 2023, https://doi.org/10.1007/s11042-023-14918-9
• Lamba, M., Munjal, G., & Gigras, Y., Ranking of classification algorithm in breast Cancer based on estrogen receptor using MCDM technique., International Journal of Information Technology & Decision Making (IJITDM), 2023, 22, 02, 803-827
• Lamba, M., Munjal, G., & Gigras, Y., A MCDM-based performance of classification algorithms in breast cancer prediction for imbalanced datasets., International Journal of Intelligent Engineering Informatics, 2021, 9, 5, 425-454
• Lamba, M., Gigras, Y., & Dhull, A., Classification of plant diseases using machine and deep learning., Open Computer Science, 2021, 11, 1, 491-508
• Lamba, M., Munjal, G., & Gigras, Y., Supervising Healthcare Schemes Using Machine Learning in Breast Cancer and Internet of Things (SHSMLIoT)., Internet of Healthcare Things, 2021, 241
• Lamba, M., Munjal, G., & Gigras, Y., A hybrid gene selection model for molecular breast cancer classification using a deep neural network., International Journal of Applied Pattern Recognition, 2021, 6, 3, 195-216
• Lamba, M., Munjal, G., & Gigras, Y., ECABC: Evaluation of Classification Algorithms in Breast Cancer for Imbalanced Datasets., Data Driven Approach Towards Disruptive Technologies: Proceedings of MIDAS 2020, 2021, 379
• Lamba, M., Munjal, G., & Gigras, Y., Computational Studies in Breast Cancer., Diagnostic Applications of Health Intelligence and Surveillance Systems, 2021, 106126
• Lamba, M., Munjal, G., & Gigras, Y., Computational studies on breast cancer analysis., Journal of Statistics and Management Systems, 2020, 23, 6, 999-1009
• Lamba, M., Munjal, G., & Gigras, Y., Feature Selection of Micro-array expression data (FSM)-A Review., Procedia computer science, 2018, 132, 1619-1625

• SYSTEM FOR ENHANCING LOW CONTRAST RADIOLOGICAL MEDICAL IMAGES, 11/10/24, 202411072706 A
• A SYSTEM FOR MITIGATING SQL INJECTION ATTACKS, 06/27/24
• Method For Enhancing Cybersecurity With Blockchain-Enabled Incident Response For Malware Detection, 02/09/24
• Electronic ToothBrush, 11/15/22

• Received Gate scholarship in Master of Technology.
• Received Director Award in B.Tech.

• Acting as a reviewer for Journal 'International Journal of Computing and Digital Systems'.
• Acting as a reviewer for Journal 'COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING', TAYLOR & FRANCIS LTD.
• Acting as a reviewer for Journal 'CONNECTION SCIENCE', TAYLOR & FRANCIS LTD.
• Acting as a reviewer for Journal 'POLYCYCLIC AROMATIC COMPOUNDS', TAYLOR & FRANCIS LTD.
• Acted as a reviewer for Conference 'Confluence 2024', 'ICCAIML 24', and 'ISCS2024'.

• Faculty Development Programme on Generative AI, The NorthCap University, Gurugram, Haryana, 06/10/24 - 06/14/24
• Use of Artificial Intelligence in Higher Education, Cintana Education, 06/14/24
• Faculty Development Programme on Quantum Computing, Department of Artificial Intelligence and Data Science of Sri Sairam Engineering College, Chennai, 06/27/24 - 07/01/24
• National Level Faculty Development Programme on Ensuring Research Integrity: A Digital Hygiene Approach with BlockChain Technology, 02/26/24 - 03/01/24
• Faculty Development Program on Remote Sensing & GIS, CSE Department, The NorthCap University, Gurugram, Haryana, 01/15/24 - 01/19/24
• Faculty Development Program on Quantum Computing, CSE Department, The NorthCap University, Gurugram, Haryana, 01/08/24 - 01/12/24
• Faculty Development Program on Microsoft Power BI Data Analyst Associate, ICT Academy, 12/18/23 - 12/22/23
• Faculty Development Program on Building Advanced Data Analytics Applications with Cloud, 12/11/23 - 12/15/23
• Faculty Development Program on Stress Management (Online Live FDP), ICT Academy, 11/27/23 - 12/01/23
• Faculty Development Programme on CYBER SECURITY & ARTIFICIAL INTELLIGENCE, 11/24/23 - 11/30/23
• Papers presented titled 'Prediction of Breast Cancer Grade Using Explainable Machine Learning' and 'SCP-CNN: Skin Cancer Prediction on Imbalanced Dataset Using CNN Deep Learning', 12th International Conference on Soft Computing for Problem Solving: SocProS 2023, 08/11/23 - 08/13/23
• FDP on Cloud Practitioner (AWS), 06/26/23 - 07/01/23
• Virtual FDP on Recommendation system: Opportunities, Challenges and Future Scope, 06/27/23 - 06/29/23
• Faculty Development Program on Advancement of Artificial Intelligence in Cyber Security, 06/19/23 - 06/23/23
• STC on Machine Learning for Data Analytics using Python: Hands-on Approach, 05/30/23 - 06/03/23
• International FDP on AI Empowered Next Generation Computing Paradigm, 05/08/23 - 05/12/23
• FDP on ML/DL for Data Science and Analytics using Python, 02/15/23 - 02/20/23
• FDP on Blockchain Technology, 12/19/22 - 12/23/22
• FDP on Cloud Computing and Its Applications: Opportunities and Challenges, 12/16/22 - 12/20/22
• FDP on APPLICATIONS OF MACHINE LEARNING IN MODERN CLOUD ERA, 10/28/22 - 11/03/22
• FDP on Cyber Security: Managing Risk in the Information Age, 10/12/22 - 10/16/22
• FDP on IOT Induced Artificial Intelligence for Emerging Computing Paradigms, 10/04/22 - 10/08/22
• FDP on Recent Trends and Advances in Machine Learning, 09/12/22 - 09/16/22
• FDP on Machine Learning, 08/02/22 - 08/10/22
• FDP on Holistic Development and Capacity Building, 07/12/22 - 07/18/22
• Data Analysis using Python, 05/24/21 - 05/31/21
• Induction programme on Machine Learning and Its Applications (Phase-III), 05/18/21 - 05/24/21
• STTP on Internet of Things (IoT): Challenges and Applications, 02/01/21 - 02/06/21
• Short-Term Training Programme on Research Methodology, 07/06/20 - 07/18/20
• International Conference on Machine Intelligence and Data Science Applications (MIDAS-2020), 09/04/20 - 09/05/20
• National Workshop on Machine Learning and Deep Learning, 12/06/19 - 12/07/19
• Workshop on Big Data and Machine Learning, 04/07/18 - 04/08/18
• Feature Selection of Micro-array expression data (FSM)-A Review, 04/07/18 - 04/08/18
• Workshop on Image Processing and Optimization Techniques, 02/11/16 - 02/12/16
• Workshop on Image Processing Using MATLAB, 02/26/16
• Variable Features Selection for Classification of Medical Data Using SVM
• Published Paper titled 'Variable Features Selection for Classification of Medical Data using SVM', 05/01/16
• Published Paper titled 'An Approach with SVM using Variable Features Selection on Breast Cancer Prognosis', 06/01/16

• 2023
• 2020, 91.77
• 2017, 90.44
• 2014, 95.7