• Ph.D. (CSE)
• M. E. (CSE)
• B.E. (CSE)

• System and method for early diagnosis of diabetic retinopathy in a patient using cross-platform application (Application No.- 202411008762)
• A system for developing Alzheimer detection tool using multimodality neuroimaging biomarkers (Application No.-202211004655)
• A Two Phase System For Analysing The Possibility And Type of Arrhythmia (Application No.-201911030037)
• An IoT Based Three-Phase Non-Invasive and Secure Covid-19 Diagnosis System (Application No.-202111030670)
• A Three-Phase Non-Invasive and Secure Covid-19 Diagnosis System (Application No.-202111030669)
• Secure Automobile Parking System, Indian Patent (Application No.-IN202111045485)

• Shukla, A., Tiwari, R., & Tiwari, S. (2024). Structural biomarker-based Alzheimer’s disease detection via ensemble learning techniques. International Journal of Imaging Systems and Technology, 34(1), e22967.
• Shukla, A., Tiwari, R., & Tiwari, S. (2024). Analyzing subcortical structures in Alzheimer’s disease using ensemble learning. Biomedical Signal Processing and Control, 87, 105407.
• Goenka, Nitika, et al. “A regularized volumetric ConvNet based Alzheimer detection using T1-weighted MRI images.” Cogent Engineering 11.1 (2024): 2314872.
• Tiwari, Shamik, et al. “A smart decision support system to diagnose arrhythymia using ensemble ConvNet and ConvNet-LSTM model.” Expert Systems with Applications 213 (2023): 118933.
• Tiwari, Shamik, et al. “IOT-Enabled Model for Weed Seedling Classification: An Application for Smart Agriculture.” Agri Engineering 5.1 (2023): 257-272.
• Goenka, Nitika, and Shamik Tiwari. “Multi-class classification of Alzheimer’s disease through distinct neuroimaging computational approaches using Florbetapir PET scans.” Evolving Systems 14.5 (2023): 801-824.
• Goenka, N., & Tiwari, S. (2023). Alzheimer’s detection using various feature extraction approaches using a multimodal multi-class deep learning model. International Journal of Imaging Systems and Technology, 33(2), 588-609.
• Shukla, Amar, Rajeev Tiwari, and Shamik Tiwari. “Review on alzheimer disease detection methods: Automatic pipelines and machine learning techniques.” Sci 5.1 (2023): 13.
• Shukla, A., Tiwari, R., & Tiwari, S. (2023). Alzheimer’s Disease Detection from Fused PET and MRI Modalities Using an Ensemble Classifier. Machine Learning and Knowledge Extraction, 5(2), 512-538.
• Singh, Sandeep Pratap, and Shamik Tiwari. “A Dual Multimodal Biometric Authentication System Based on WOA-ANN and SSA-DBN Techniques.” Sci 5.1 (2023): 10.
• Shukla, Amar, Rajeev Tiwari, and Shamik Tiwari. “Alz-ConvNets for Classification of Alzheimer Disease Using Transfer Learning Approach.” SN Computer Science 4.4 (2023): 404.
• Sharma, Akhilesh Kumar, et al. “An Approach to Automatic Garbage Detection Framework Designing using CNN.” International Journal of Advanced Computer Science and Applications, 14.2 (2023): 257-262.
• Goenka, N., & Tiwari, S. (2022). AlzVNet: A volumetric convolutional neural network for multiclass classification of Alzheimer’s disease through multiple neuroimaging computational approaches. Biomedical Signal Processing and Control, 74, 103500.
• Tiwari, S., & Jain, A. (2022). A lightweight capsule network architecture for detection of COVID-19 from lung CT scans. International Journal of Imaging Systems and Technology.
• Yadav, Kusum, Shamik Tiwari, Anurag Jain, and Jalawi Alshudukhi. “Convolution neural network based model to classify colon cancerous tissue.” Multimedia Tools and Applications 81, no. 26 (2022): 37461-37476.
• Joshi, B., Sharma, A. K., Yadav, N. S., & Tiwari, S. (2022). DNN based approach to classify Covid’19 using convolutional neural network and transfer learning. International Journal of Computers and Applications, 44(10), 907-919.
• Tiwari, S., Jain, A., & Chawla, S. K. (2022). Diagnosing COVID-19 from chest CT scan images using deep learning models. International Journal of Reliable and Quality E-Healthcare (IJRQEH), 11(2), 1-15.
• Sharma, Akhilesh Kumar, Shamik Tiwari, Gaurav Aggarwal, Nitika Goenka, Anil Kumar, PrasunChakrabarti, Tulika Chakrabarti, RadomirGono, Zbigniew Leonowicz, and Michal Jasinski. “Dermatologist-level classification of skin cancer using cascaded ensembling of convolutional neural network and handcrafted features based deep neural network.” IEEE Access 10 (2022): 17920-17932.
• Jain, A., Tiwari, S., Choudhury, T., & Dewangan, B. K. (2021). Gradient and statistical features-based prediction system for COVID-19 using chest X-ray images. International Journal of Computer Applications in Technology, 66(3-4), 362-373.
• Jain, A., Yadav, K., Alharbi, H. F., & Tiwari, S. (2022). IoT & AI enabled three-phase secure and non-invasive covid 19 diagnosis system. Computers, Materials and Continua, 423-438.
• Tiwari, S., Jain, A., Ahmed, N. M. O. S., Alkwai, L. M., Dafhalla, A. K. Y., & Hamad, S. A. S. (2021). Machine learning-based model for prediction of power consumption in smart grid-smart way towards smart city. Expert Systems, e12832.
• Joshi, B., Sharma, A. K., Yadav, N. S., & Tiwari, S. (2021). DNN based approach to classify Covid’19 using convolutional neural network and transfer learning. International Journal of Computers and Applications, 1-13.
• Goenka, N., & Tiwari, S. (2021). Deep learning for Alzheimer prediction using brain biomarkers. Artificial Intelligence Review, 54(7), 4827-4871.
• Yadav, K., Tiwari, S., Jain, A., & Dafhalla, A. K. Y. (2021). Deep learning based cardiovascular disease diagnosis system from heartbeat sound. International Journal of Speech Technology, 1-12.
• Tiwari, S., Jain, A., Sharma, A. K., & Almustafa, K. M. (2021). Phonocardiogram signal based multi-class cardiac diagnostic decision support system. IEEE Access, 9, 110710-110722.
• Tiwari, S., & Jain, A. (2021). Convolutional capsule network for COVID-19 detection using radiography images. International Journal of Imaging Systems and Technology, 31(2), 525-539.
• Tiwari, Shamik. “Dermatoscopy Using Multi-Layer Perceptron, Convolution Neural Network, and Capsule Network to Differentiate Malignant Melanoma From Benign Nevus.” International Journal of Healthcare Information Systems and Informatics (IJHISI) 16.3 (2021): 58-73.
• Tiwari, Shamik. “An Ensemble Deep Neural Network Model for Onion-Routed Traffic Detection to Boost Cloud Security.” International Journal of Grid and High Performance Computing (IJGHPC) 13.1 (2021): 1-17.
• Goenka, N., Tiwari, S., & Yadav, D. (2021). No-reference image blur detection scheme using fuzzy inference. Adv. Math.: Sci. J., 10(3), 1175-1182.
• Tiwari, Shamik. “Multiclass Content-based Visual Information Retrieval using Multi Layer Perceptron and Convolution Neural Network: A Comparative Study.” Journal of Artificial Intelligence Research & Advances 7.1 (2020): 1-9.
• Tiwari, Shamik. “A Comparative Study of Deep Learning Models With Handcraft Features and Non-Handcraft Features for Automatic Plant Species Identification.” International Journal of Agricultural and Environmental Information Systems (IJAEIS) 11.2 (2020): 44-57.
• Tiwari, Shamik. “A Blur Classification Approach Using Deep Convolution Neural Network.” International Journal of Information System Modeling and Design (IJISMD) 11.1 (2020): 93-111.
• Shamik Tiwari, An Analysis in Tissue Classification for Colorectal Cancer Histology Using Convolution Neural Network and Colour Models (160818-065657), , International Journal of Information System Modeling and Design (IJISMD), Volume 9, Issue 4, Article 1, 2018. (indexed in ESCI, Scopus)
• Shamik Tiwari, A Blind Restoration Approach for Defocused Barcode Images (090518-012416), International Journal of Strategic Information Technology and Applications (IJSITA) , Volume 8, Issue 3, Article 3, 2018. (indexed in ACM, DBLP)
• Shamik Tiwari, A Blur Classification Approach Using Segmentation Based Fractal Texture Analysis with Hand Gestures Images, Indonesian Journal of Electrical Engineering and Informatics (IJEEI), ISSN 2089-327, Vol 6, No 4, 2018. (indexed in scopus)
• Nitin Arora, Shamik Tiwari, Efficient Image Retrieval through Hybrid Feature Set and Neural Network, International Journal of image, graphics and signal processing, MECS Publication 2019, 1, 44-53.
• Shamik Tiwari, A Blur Classification Approach using Convolution Neural Network, presented in Next Generation Computing Technologies, (NGCT’ 2018), UPES, Dehradun.
• Shamik Tiwari,An Ensemble Deep Neural Network Model for Onion Routed Traffic Detection to Boost Cloud Security, International Journal of Grid and High Performance Computing (IJGHPC). Accepted vol 99(6), 3, 2019. (indexed in ESCI, Scopus)
• Shamik Tiwari (2017), “A Pattern Classification Based approach for Blur Classification”, Indonesian Journal of Electrical Engineering and Informatics (IJEEI), vol. 5(2).
• Pathak, Shamik Tiwari (2016), “A Survey of Wet and Wrinkled Finger Print Recognition Techniques”, International Journal of Engineering Research & Technology, vol. 5(12).
• KurnikaChoudhary and Shamik Tiwari (2015), “ANN Glaucoma Detection using Cup-to-Disk Ratio and Neuro retinal Rim”. International Journal of Computer Applications 111(11):8-14.
• EktaSinghal, Shamik Tiwari (2015), “Skin cancer detection using artificial neural network”. IJARCS, Volume 6, Number 1.
• Shamik Tiwari, V. P. Shukla, S.R. Biradar, A. K. Singh (2014), “Blur Parameters Identification for Simultaneous Defocus and Motion Blur”, CSI Transactions on ICT, Springer, vol. 2, no. 1, pp.11–22.
• Shamik Tiwari, V. P. Shukla, S.R. Biradar, A. K. Singh (2014), “Defocus Blur Parameter Estimation in Barcode Images using Fast Discrete Curvelet Transform”, International Journal of Tomography & Simulation, CESER Publications, vol. 27, no. 3.
• Shamik Tiwari, V. P. Shukla, S.R. Biradar, A. Kr. Singh (2014), “Blind Restoration of Motion Blurred Barcode Images using Ridgelet Transform and Radial Biases Function Neural Network”, Electronic Letters on Computer Vision and Image Analysis (ELCVIA), vol. 13, no. 3, pp. 63-80.
• Shamik Tiwari, V. P. Shukla, S.R. Biradar, A. Kr. Singh (2014), “A Blind Blur Detection Scheme using Statistical Features of Phase Congruency and Gradient Magnitude”, Advances in Electrical Engineering, Hindawi, vol. 2014, Article ID 521027, 10 pages.
• Shamik Tiwari, V. P. Shukla, S.R. Biradar, A. Kr. Singh (2014), “A No-Reference Blur Detection Scheme Using Local Phase Congruency Map of Images”, International Journal of Signal Processing and Imaging Engineering, vol. 1, pp. 24-30.
• Shamik Tiwari, V. P. Shukla, S. R. Biradar, A. K. Singh (2014), “Blur Classification Using Wavelet Transform and Feed Forward Neural Network”, IJMECS, vol.6, no.4, pp.16-23.
• Shamik Tiwari, V. P. Shukla, S.R. Biradar, A. Kr. Singh (2014), “Wavelet Based Intentional Blurring Variance Scheme for Blur Detection in Barcode Images”, IJIGSP, vol.6, no.6, pp. 43-49.
• Shamik Tiwari, V. P. Shukla, S.R. Biradar, A. Kr. Singh (2014), “Blur Classification Using Ridgelet Transform and Feed Forward Neural Network”, IJIGSP, vol.6, no.9, pp. 47-53.
• K. Singh, V P Shukla, S R Biradar, &Shamik Tiwari (2014), “Enhanced Performance of Multi Class Classification of Anonymous Noisy Images”. International Journal of Image, Graphics and Signal Processing (IJIGSP), 6(3), 27.
• A. K. Singh, V P Shukla, S R Biradar, &Shamik Tiwari (2014), “Performance Analysis of Wavelet & Blur Invariants for Classification of Affine and Blurry Images”. Journal of Theoretical and Applied Information Technology, 59(3), 781-790.
• A. K. Singh, V P Shukla, S R Biradar, &Shamik Tiwari (2014), “Curvelet Based Multiclass Image Classification under Complex Background Using Neural Network”. International Review on Computer & Software, v. 9, n. 3, p. 577-584.
• A. K. Singh, V P Shukla, S R Biradar, &Shamik Tiwari (2014), “Multiclass Noisy Image Classification Based on Optimal Threshold and Neighboring Window Denoising”. International Journal of Computer Engineering Science.
• A. K. Singh, V P Shukla, S R Biradar, &Shamik Tiwari (2014), “Wavelet Based Histogram of Oriented Gradients Feature Descriptors for Classification of Partially Occluded Objects”. International Journal of Intelligent Systems and Applications (IJISA).
• Shamik Tiwari, V. P. Shukla, S. R. Biradar, A. Kumar Singh (2013),“Review of Motion Blur Estimation Techniques”, Journal of image and graphics, vol. 1, no. 4, pp. 176-184.
• Shamik Tiwari, V. P. Shukla, S. R. Biradar, A. Kumar Singh (2013), “Texture Features based Blur Classification in Barcode Images”, I. J. Information Engineering and Electronic Business, MECS Publisher, vol. 5, pp. 34-41.
• K. Singh, V. P. Shukla, Shamik Tiwari, & S R Biradar (2013), “An Enhancement over Texture Feature Based Multiclass Image Classification under Unknown Noise”. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 4(1-4), pp-84.
• D. Choudhary, A. K. Singh, &Shamik Tiwari (2013), “A Statistical Approach for Iris Recognition Using K-NN Classifier”. International Journal of Image, Graphics and Signal Processing (IJIGSP), 5(4), 46.
• D. Choudhary, A. K. Singh, Shamik Tiwari, & V P Shukla (2013). “Performance Analysis of Texture Image Classification Using Wavelet Feature”. International Journal of Image, Graphics and Signal Processing (IJIGSP), 5(1), 58.
• Punam Patel and Shamik Tiwari (2013), “Text Segmentation from Images “. International Journal of Computer Applications, 67(19):25-28.
• JesalVasavada and Shamik Tiwari (2013), “An Edge Detection Method for Grayscale Images based on BP Feedforward Neural Network”. International Journal of Computer Applications 67(2):22-28.
• A. K. Singh, Shamik Tiwari, & V P Shukla (2012), “Wavelet based multi class image classification using neural network”. International Journal of Computer Applications, 37(4), 21-25.
• D. Choudhary, Shamik Tiwari, & A. K. Singh (2012), “A survey: Feature extraction methods for iris recognition”. International Journal of Electronics Communication and Computer Technology (IJECCT), vol. 2.
• DeepaKumari, Shamik Tiwari, Deepika Gupta, Raina (2012), “Analysis on Adaptive Moving Objects via Robot Vision Implementations by Detection Techniques”, International Journal of Scientific & Engineering Research, Vol. 3, Issue 4.
• Raina , Shamik Tiwari ,DeepaKumari, Deepika Gupta (2012), “An approach for image noise identification using minimum distance classifier”, International Journal of Scientific & Engineering Research, Vol. 3, Issue 4, pp 1-4.
• Punam Patel, Shamik Tiwari (2012), “Flame Detection using Image Processing Techniques”, International Journal of Computer Applications 58(18):13-16.
• Shamik Tiwari, A. k. Singh & V P Shukla (2011). Statistical Moments Based Noise Classification Using Feed Forward Back Propagation Neural Network. International journal of computer applications, 18(2), 36-40.

• Tiwari, Shamik, et al. “Broad analysis of deep learning techniques for diabetic retinopathy screening.” 2023 international conference on smart computing and application (ICSCA). IEEE, 2023.
• Tiwari, Shamik, and Piyush Maheshwari. “MPox-Dense ConvNet: A Transfer Learning Based Convolutional Neural Network for Monkey pox Detection and Assessment using Color Models.” 2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE). IEEE, 2023.
• Tiwari, Shamik, and Piyush Maheshwari. “PCOS-Wave ConvNet: A Wavelet Convolutional Neural Network for Polycystic Ovary Syndrome Detection using Ultrasound images.” 2023 9th International Conference on Information Technology Trends (ITT). IEEE, 2023.
• Tiwari, Shamik, and Piyush Maheshwari. “Polycystic Ovarian Syndrome Identification Through Self-Attention Guided Convolutional Neural Network.” 2023 24th International Arab Conference on Information Technology (ACIT). IEEE, 2023.
• Tiwari, Shamik, and Piyush Maheshwari. “Heartbeat Abnormality Detection in Phonocardiogram Signals using Wavelet Time Scattering and Optimized KNN Classification.” 2023 24th International Arab Conference on Information Technology (ACIT). IEEE, 2023.
• Dhiviya Rose, J., Anurag Jain, and Shamik Tiwari. “Challenges and Solutions with Lightweight Models for Diabetic Retinopathy Detection.” International Conference on MAchinein Telligence for Research & Innovations. Singapore: Springer Nature Singapore, 2023.
• Singh, Sandeep Pratap, and Shamik Tiwari. “Analysis of Multimodal Biometric System Based on ECG Biometrics.” International Conference on Cybersecurity in Emerging Digital Era. Singapore: Springer Nature Singapore, 2022.
• Shukla, Amar, Rajeev Tiwari, and Shamik Tiwari. “Automated Pipeline Preprocessing Techniques for Alzhiemer Disease Detection.” 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO). IEEE, 2022.
• Sharma, A. K., Tiwari, S., Srivastava, D. K., Choudhary, D., &Vishwakarma, S. K. (2022, October). Meditation for happy and healthy life: a quantitative assessment using heart rate variability using ECG. In 2022 IEEE 4th international conference on cybernetics, cognition and machine learning applications (ICCCMLA) (pp. 49-52). IEEE.
• Goenka, Nitika, Ankit Goenka, and Shamik Tiwari. “Patch-based classification for Alzheimer disease using sMRI.” 2022 International Conference on Emerging Smart Computing and Informatics (ESCI). IEEE, 2022.
• Goenka, N., & Tiwari, S. (2021). Volumetric Convolutional Neural Network for Alzheimer Detection. In 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 1500-1505). IEEE.
• Jain, A., & Tiwari, S. (2021, April). Prediction and Visualisation of Viral Genome Antigen Using Deep Learning & Artificial Intelligence. In 2021 5th International Conference on Computing Methodologies and Communication (ICCMC) (pp. 1430-1437). IEEE.
• Sharma, S., & Tiwari, S. (2021, March). COVID-19 Diagnosis using X-Ray Images and Deep learning. In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) (pp. 344-349). IEEE.
• Shamik Tiwari (2017), A Fuzzy Logic based No-Reference Perceptual Blur Metric for Blur Detection in Document Images. International Conference on “Advancements in Science & Technology (ICAST-2017), Rayat-Bahra University, Mohali, Punjab, India.
• A. K. Singh, V P Shukla, S R Biradar, & Shamik Tiwari (2014). WHOG Feature Based Multiclass Object Classification under Partial Occlusion. Proceedings of International Conference on Information and Communication Technology for Competitive Strategies (ICTCS 2014).
• Shamik Tiwari, A. Kumar Singh, & V P Shukla(2012, January). Certain investigations on motion blur detection and estimation. In Proceedings of international conference on signal, image and video processing, IIT Patna (pp. 108-114).
• A. K. Singh, Shamik Tiwari, & V P Shukla(2012, January). Wavelet based multi class image classification using neural network. In Proceedings of international conference on signal, image and video processing, IIT Patna(pp. 154-161).
• JesalVasavada and Shamik Tiwari, “Technique to Enhance the Detection of Edges in Grayscale Images Using Fuzzy Logic”, NCRTMSA, MITS, Laksmangarh, November, 2012.
• Jesal Vasavada and Shamik Tiwari ,”Sobel-Fuzzy Technique to Enhance the Detection of Edges in Grayscale Images Using Auto-Thresholding”, 2nd International Conference on ‘Soft Computing for Problem Solving, ’JKLU , jaipur, December 28 – 30, 2012.
• Shamik tiwari, “A Survey on Data Stream Association Rule Mining to Estimate Missing Sensor Value”, Annual conference of vijnanaparishad of india and national symposium, JP University, Guna, 2009.

• Digital Image Processing, DhanpatRai Publication, Delhi.
• Image Blur Type Identification using Pattern Classification Approaches, LAP Lambert Academic Publishing, Germany.
• Feature Extraction and Classification Methods of Texture Images, LAP Lambert Academic Publishing, Germany.
• An Edge Detection Approach by Fuzzy Image Processing, LAP Lambert Academic Publishing, Germany.
• Hands-on Deep Learning with Python Programming (ISBN 978-613-9-91551-4) Lambert Academic Publishing, Germany.

• Shukla, Amar, Shamik Tiwari, and Vinh Truong Hoang. “Yoga Practitioners and Non-yoga Practitioners to Deal Neurodegenerative Disease in Neuro Regions.” Data Analysis for Neurodegenerative Disorders. Singapore: Springer Nature Singapore, 2023. 67-91.
• Tiwari, Shamik. “Lightweight ConvNet Model for American Sign Language Hand Gesture Recognition.” Challenges and Applications for Hand Gesture Recognition. IGI Global, 2022. 175-193.
• Tiwari, Shamik, and Vadim Bolshev. “A review of edge computing in healthcare Internet of things: Theories, practices and challenges.” Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing (2022): 257-278.
• Sweta, K., Akhilesh Kumar, S., Chaurasia, S., & Tiwari, S. (2022). Perspective‐Based Studies of Trust in IoHT and Machine Learning‐Brain Cancer. Internet of Healthcare Things: Machine Learning for Security and Privacy, 265-280.
• Sharma, A. K., Bhardwaj, S., Srivastava, D. K., Cuong, N. H. H., & Tiwari, S. (2022). Probabilistic approaches for minimizing the healthcare diagnosis cost through data-centric operations. In Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data (pp. 221-238). Academic Press.
• Tiwari, Shamik, Varun Sapra, and Anurag Jain. “Heartbeat sound classification using Mel-frequency cepstral coefficients and deep convolutional neural network.” Advances in Computational Techniques for Biomedical Image Analysis. Academic Press, 2020. 115-131.
• Sharma, A. K., Bhardwaj, S., Srivastava, D. K., Cuong, N. H. H., & Tiwari, S. (2022). Probabilistic approaches for minimizing the healthcare diagnosis cost through data-centric operations. In Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data (pp. 221-238). Academic Press.
• Kumari, S., Sharma, A. K., Chaurasia, S., & Tiwari, S. Perspective-Based Studies of Trust in IoHT and Machine Learning-Brain Cancer. Internet of Healthcare Things, 265.

• Data Science with R, Jigsaw Academy.
• MOOC and Blended Learning (authorized by Tsinghua University)
• Teaching Character and Creating Positive Classrooms (authorized by Relay Graduate School of Education)
• Image Denoising Using AutoEncoders in Keras and Python (authorized by Rhyme)
• Python for Genomic Data Science (authorized by Johns Hopkins University)
• Cloud Computing Basics (Cloud 101) (authorized by LearnQuest)
• Image Classification with CNNs using Keras (authorized by Rhyme)
• Foundations of Virtual Instruction (authorized by University of California, Irvine)
• Advanced Instructional Strategies in the Virtual Classroom (authorized by University of California, Irvine)
• Performance Assessment in the Virtual Classroom (authorized by University of California, Irvine)
• Assessment in Higher Education: Professional Development for Teachers (authorized by Erasmus University Rotterdam)
• Virtual Teacher Final Project (authorized by University of California, Irvine)
• COVID-19: What You Need to Know (CME Eligible) (authorized by Osmosis)
• Emerging Trends & Technologies in the Virtual K-12 Classroom (authorized by University of California, Irvine)
• Linear Regression with NumPy and Python (authorized by Rhyme)
• Logistic Regression with Python and Numpy (authorized by Rhyme)
• Anomaly Detection in Time Series Data with Keras (authorized by Rhyme)
• Traffic Sign Classification Using Deep Learning in Python/Keras (authorized by Rhyme)
• Classification with Transfer Learning in Keras (authorized by Rhyme)

• Convolutional capsule network for glaucoma detection using optical tomography images (SW-17742/2023). Copyright office Government of India.
• MPOXNET: A convolutional neural network utilizing transfer learning for the identification of monkey pox (SW-17647/2023). Copyright office Government of India.
• Binary and Multiclass Classification of Alzheimer Disease using the fused MRI Modalities. (SW-17643/2023). Copyright office Government of India.

M.Tech./MS Guided: 42
Ph.D. Guided: 06

• Non-invasive diagnostic tool for diabetic retinopathy using lightweight intelligent applications and fundus photography (PI, Funding Agency AGC Jancare, Biotechnology Industry Research Assistance Council , BIRAC, Department of Biotechnology, Government of India)
• Smart ECG monitoring system to diagnose cardiovascular disease (PI Funding Agency : UPES)