Academics Tenders Administration Work With Us RTI & Grievances Contact Us

Faculty Profile

Dr. Mamta Mittal

Back
Associate Professor - Data Analytics at Bhai Parmanand DSEU Shakarpur Campus – II (formerly known as Bhai Parmanand Institute of Business Studies, Shakarpur)
  • Ph. D. – Computer Engineering, Thapar University Patiala, India
  • M. Tech. – Computer Engineering, J.C. Bose University of Science and Technology, YMCA
  • B. Tech. – Computer Engineering, Kurukshetra University Kurukshetra
  • Diploma – Computer Engineering, Govt. Polytechnic for Women Sirsa, Haryana

Dr. Mamta Mittal has over 18 years of teaching experience. Prior to joining G.B. Pant DSEU Okhla-I Campus, she had worked with Advanced Institute of Technology & Management, Palwa and Haryana College of Technology & Management, Kaithal. She has published numerous research papers in National and International journals and has 4 patents in her name. She has been provided with a research grant of 25L by the Department of Science and Technology and 2.53L from the PMYUVA Yojna project for Entrepreneur Cell.

Dr. Mittal has guided many research and Ph .D. scholars. She has accomplished many leadership roles such as Associate Editor with Springer (SCIE Indexed) Journal, Advisory Editor with Dyna SCIE Indexed (Spain), and Editorial Board Member with Elsevier. She has also conducted many workshops, short-term courses, Entrepreneurship sessions under the National Institute of Technical Teachers Training & Research, Chandigarh, PM-YUVA Yojana and IndiaCom. She has been a key-note speaker at various National and International conferences.

Courses Taught

Back
  • Database Management
  • Data Structures
  • Data Mining & Business Intelligence
  • Machine Learning
  • Operating System
  • Analysis of Design & Algorithms
  • Soft Computing
  • Introduction to Python Programming
  • Introduction to Programming Languages
  • Fundamentals of Computing
  • Object-Oriented Programming
  • Compiler Design
  • Software Engineering
  • Software Testing
  • Computer Organization & Architecture
  • Microprocessor 8085

Research & Publications

Back

Journal Papers:

Sethi, J. K., & Mittal, M. (2021). An efficient correlation-based adaptive LASSO regression method for air quality index prediction. Earth Sci Inform. https://doi.org/10.1007/s12145-021-00618-1

Mittal, M. (2021). Prediction of coefficient of consolidation in soil using machine learning techniques. Microprocessors and Microsystems, 82.

Mittal, M. (2021). FEMT: a computational approach for fog elimination using multiple thresholds. Multimedia Tools and Applications, 80(1), 227-241.

Goyal, L. M., & Mittal. (2021). An efficient method of multicolor detection using global optimum thresholding for image analysis. Multimedia Tools and Applications. https://doi.org/10.1016/j.jjimei.2021.100037

Khan, M.A., & Mittal, M. (2021). A deep survey on supervised learning-based human detection and activity classification methods. Multimed Tools Appl (2021).  https://doi.org/10.1007/s11042-021-10811-5

Afza, F., Sharif, M., & Mittal, M. (2021). Hierarchical three-step superpixels and deep learning framework for skin lesion classification. Methods.

Saeed, F., Khan, M. A., Sharif, M., & Mittal, M. (2021). Deep neural network features fusion and selection based on PLS regression with an application for crops diseases classification. Applied Soft Computing, 78, 346-354.

Anand, I., Negi, H., Kumar, D., & Mittal, M. (2021). Residual u-network for breast tumour segmentation from magnetic resonance images. CMC-Computers, Materials & Continua, 67(3), 3107-3127.

 

Ghansiyal, A., Mittal, M., & Kar, A. K. (2021). Information management challenges in autonomous vehicles: A systematic literature review. Journal of Cases on Information  Technology (JCIT), 23(3), 58-77.

Chhetri, B., Goyal, L. M., Mittal, M., & Battineni, G. (2021). Estimating the prevalence of stress among Indian students during the COVID-19 pandemic: A cross-sectional study from  India. Journal of Taibah University Medical Sciences, 16(2), 260-267.

Kumari, S., Agarwal, B., & Mittal, M. (2021). A deep neural network model for cross-domain sentiment analysis. International Journal of Information System Modeling and  Design (IJISMD), 12(2), 1-16.

Aggarwal, A., Mittal, M., & Battineni, G. (2021). Generative adversarial network:  An overview of theory and applications. International Journal of Information  Management Data Insights, Elsevier, 1(1).

Malhotra, J., Sethi, J. K. & Mittal, M. (2020). Analysis of big data using two mapper files in hadoop. International Journal of Security and Privacy in  Pervasive Computing (IJSPPC), 13(1).

Singh, A., Saimbhi, A. S., Singh, N, & Mittal, M. (2020). DeepFake video detection: A Time Distributed Approach. SN Computer Science, Springer.

Khan, M. A(Ahmed)., Khan, M. A(Attique)., Ahmed, F., & Mittal, M., et al. (2020). Gastrointestinal diseases segmentation and classification based on duo-deep architectures pattern recognition letters. ELSEVIER, 131, 193-204. https://www.sciencedirect.com/science/article/abs/pii/S016786551930399X

Sethi, J. K., & Mittal, M. (2020). Monitoring the impact of air quality on the covid-19  fatalities in Delhi, India: using machine learning techniques. Disaster Medicine and  Public Health Preparedness, 1-8.

Tulshyan, V., Sharma, D., & Mittal, M. (2020). An eye on the future of COVID’19: prediction of likely positive cases and fatality in India over a 30 days horizon using prophet model. Disaster Medicine and Public Health Preparedness, 1-20.

Goya,l L. M., Arora, M., Pandey, T., & Mittal, M. (2020). Morphological classification of galaxies using Conv-Nets. Earth Science Informatics.

Mittal, A., Kumar, D. & Mittal, M. (2020). Detecting pneumonia using convolutions and dynamic capsule routing for chest x-ray images. Sensors, 20, 1068.

Goyal, L. M., Mittal, M. (2020). Improved ECG watermarking technique using curvelet transform. Sensors, 20, 2941.

Rakhee, Singh, A., Kumar, A., & Mittal, M. (2020). Qualitative analysis of random forests for evaporation prediction in Indian regions. Indian Journal of Agricultural Sciences, 90(6), 1140- 1144.

Aggarwal, A., Chauhan, A., Kumar, D., & Mittal, M. (2020). Video caption based searching using end-to-end dense captioning and sentence embeddings. Symmetry, 12(6),  992.

 

Chawla, S., Mittal, M., Chawla M., Goyal, L. M. (2020). Corona Virus – SARS-CoV-2: An insight to another way of natural disaster. EAI Endorsed Transactions on Pervasive Health and Technology, 6, 22.

Mittal, M., Sharma, R. K. & Singh, V. P. (2019). Performance evaluation of threshold-based and k-means clustering algorithms using Iris Dataset. Recent Patents on Engineering, 13(2).

Sethi, J. K., & Mittal, M. (2019). A new feature selection method based on machine learning technique for air quality dataset. Journal of Statistics and Management Systems, 22(4), 697-705. 10.1080/09720510.2019.1609726

Sharma, D., Singh, S., & Mittal, M. (2019), Models in grid computing: a review. Recent Patents on Engineering, 13(2).

Mittal, M., & Pandey, S. C. (2019). The rudiments of energy conservation and IoT. Energy  Conservation for IoT Devices, Springer, Singapore, 1- 17.

Singh, P. P., Khosla, P. K., Mittal, M. (2019). Energy conservation in IoT based smart home and its automation. Energy Conservation for IoT Devices, Springer, Singapore, 155- 177.

Mittal, M., et al. (2019), Deep learning-based enhanced tumour segmentation approach for  MR Brain Image. Applied Soft Computing, 78, 346-354

Mittal, M., et al. (2019), Clustering approaches for high-dimensional databases: A Review. WIREs Data Mining Knowl Discov John Wiley & Sons, 9(3).

Garg, R., Mittal, M., & Son, L. H. (2019). Reliability and energy-efficient workflow scheduling in the cloud environment. Cluster Computing, 22(4), 1283-1297.

Kaur, S., Bansal, R. K.,  & Mittal, M., et al. (2019). Mixed pixel decomposition based on extended fuzzy clustering for single spectral value remote sensing images. Journal of the Indian Society of Remote Sensing, 47(3), 427-437.

Mittal, M., Sharma, R. K., Singh, V. K., Agarwal, R. (2019). Adaptive threshold-based clustering: a deterministic partitioning approach. International Journal of Information  System Modelling and Design, IGI Global, 10(1), 42-59, https://www.igi-global.com/article/adaptive-threshold-based-clustering/226235

Sethi, J. K., & Mittal, M. (2019). Ambient air quality estimation using supervised learning techniques. EAI Endorsed Transactions on Scalable Information Systems, 6(22), 1-10. https://eudl.eu/pdf/10.4108/eai.29-7-2019.159628

Mittal, M., et al. (2018). Monitoring the impact of the economic crisis on crime in India using machine learning. Computational Economics, Springer, 53(4), 1467-1485.

Yadav, M., Purwa, R. K. & Mittal, M. (2018). Handwritten Hindi character recognition-a review. IET Image Processing, 12(11), 1919 – 1933.

Hemanth, D. J., Anitha, J., Son, L. H., &  Mittal, M. (2018). Diabetic retinopathy diagnosis from retinal images using modified Hopfield neural network. Journal of Medical Systems,  42(12), 247.

Kaur B., Sharma M., & Mittal M., et al. (2018). An improved salient object detection algorithm combining background and foreground connectivity for brain image analysis. Computers and  Electrical Engineering, 71, 692-703.

Son, L. H., Chiclana, F., Kumar, R., & Mittal, M., et al. (2018). ARM–AMO: An efficient association rule mining algorithm based on animal migration optimization. Knowledge-Based Systems, 154, 68-80.

Kaur, P., Sharma, M., & Mittal, M. (2018). Big data and machine learning-based secure healthcare framework. Procedia Computer Science, Elsevier, 132, 1049-1059,  https://doi.org/10.1016/j.procs.2018.05.020

Mittal, M., & Goyal, N. (2017). E-learning: trends, technologies, and challenges. Journal of Multi-Disciplinary Engineering Technologies, 11(2).

Mittal, M., Sharma, R. K. & Singh, V. P. (2015). Modified single-pass clustering with variable threshold approach. International Journal of Innovative Computing, Information and Control, 11(1). www.ijicic.org/ijicic-14-03010.pdf

 

Presentations in Conferences/Seminars/Webinars:

Mittal, M., & Battineni, G., et.al. (2021). Mathematical equation scanner (M-Scan) and solver [Conference Presentation]. International Conference on Innovative Computing and Communication (ICICC-21).

 

Mittal, M., & Battineni G., et.al. (2020, Oct 14-16). IoT based Image defogging system for road accident control during winters [Conference Presentation]. International Conference on Computing, Communication and Security held at Indian Institute of Technology Patna, Patna, India.

Sethi, J. K., & Mittal, M. (2020, January). Analysis of air quality using univariate and multivariate time series models [Conference Presentation]. 10th International Conference on Cloud Computing,  Data Science & Engineering (Confluence), 823-827.

Rakhee, Singh, A., Mittal, M., & Kumar, A. (2020, January). Predictive modelling of Pan evaporation using Random Forest Algorithm along with Features Selection [Conference Presentation]. 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 380-384.

Rakhee, Singh, A., & Mittal, M. (2020, November). Prediction of solar radiation using Hybrid  Discriminant-Neural Network [Conference Presentation]. Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC), 150-153.

Singholi, A. K., Mittal, M., & Bhargava, A. (2020). A review on IoT-based hybrid navigation system for mid-sized autonomous vehicles [Conference Presentation]. Advances in Electromechanical  Technologies, Springer, Singapore.

Mittal, M., Arora, M., & Pandey, T. (2019, November). Emoticon prediction on textual data using stacked LSTM Model [Conference Presentation]. International Conference on Communication and Intelligent  Systems, Springer, Singapore.

Mittal, M.,  Singh, H., Paliwal, K. K. & Goyal, L. M.. (2017). Efficient random data accessing in  MapReduce [Conference Presentation]. International Conference on Infocom Technologies and Unmanned Systems  (Trends and Future Directions) (ICTUS), Dubai, 552-556.

Goyal, L. M., Mittal, M. & Sethi, J. K. (2016). Fuzzy Model Generation using subtractive and fuzzy C–Means clustering [Conference Presentation]. G. D. Goenka, Gurgaon.

Mittal, M., Sharma, R. K. & Singh, V. P. (2011, Nov 3-5). Random automatic detection of clusters [Conference Presentation].  IEEE International Conference on Image Information Processing. ICIIP-2011, JUIT Solan, proceedings of IEEE Delhi, 91.

Books:

Mittal, M., Shah, R. R., & Roy S.(Eds.) 2021. Cognitive computing for human-robot interaction. Elsevier.  https://www.elsevier.com/books/cognitive-computing-for-human-robot-interaction/mittal/978-0-323-85769-7

Khosla, P. K., & Mittal, M., et al. (Ed.). (2021). Predictive and preventive measures for Covid 19 pandemic. Springer Nature.

Sharma, D., Singh, S., Mittal, M. (2021). Bioinformatics and RNA: A practice-based approach. CRC  Group, Taylor & Francis, USA  https://www.routledge.com/Bioinformatics-and-RNA-A-Practice-Based-Approach/Sharma-Singh-Mittal/p/book/9780367619091

Sudipta, R., Goyal L. M., & Mittal M. (Ed.). (2021). Advanced prognostic predictive modelling. In Healthcare analytics. Springer Nature.

Sethi, J. K., & Mittal, M. (2021). Prediction of air quality index using a hybrid machine learning algorithm. In Advances in information communication technology and computing (pp. 439-449). Springer, Singapore.

Battineni G., Mittal M., Jain S. (2021) Data visualization in the transformation of healthcare Industries. In Advanced prognostic predictive modelling in healthcare data analytics. Springer, Singapore.

Khosla, P. K., & Mittal, M., et al. (2021). Mitigate the impact of Covid-19: telehealth.  In Predictive and preventive measures for Covid-19 pandemic (pp. 1-17). Springer, Singapore.

Mittal, M., et al. (2020). Image segmentation using deep learning techniques in medical images. In Advancement of Machine Intelligence in Interactive Medical Image Analysis (pp.  41-63). Springer, Singapore.

Verma, O. P., Roy, S., Pandey, S. C., & Mittal, M. (Ed.). (2019). Advancement of machine intelligence in interactive medical image analysis. Springer Nature.

Mittal, M., et al. (2019). Energy conservation for IoT devices. concepts, paradigms and solutions, studies in systems, decision and control. In Preparation. Springer Nature  Singapore Pte Ltd., Singapore.

Mittal, M., et al. (Eds.). (2019). Big data processing using spark in cloud. Springer.

Mittal, M., et al. (2018). Big data for parallel computing. In Advances in parallel computing series, IOS Press, Netherland.

Bhatia M., & Mittal M. (2017). Big Data & Deep Data: minding the challenges. In Deep learning for image processing applications (177-193). IOS press Netherland.  https://ebooks.iospress.nl/volumearticle/4803

Mittal. M, Sharma R. K., Singh V. P., & Goyal L. M. (2016). Modified single-pass clustering algorithm based on median as a threshold similarity value. In Collaborative filtering using data mining and analysis. IGI Global, 24-48. https://www.igi-global.com/chapter/modified-single-pass-clustering-algorithm-based-on-median-as-a-threshold-  similarity-value/159493\