Dr. Mohammed Ali Shaik
Assistant Professor
School of Computer Science & Artificial Intelligence
Dr. APJ. Abdul Kalam University
17 Years
Programming
Deep Learning, Data Mining, Cloud Computing
Mail: ali@sru.edu.in
Assistant Professor
School of Computer Science & Artificial Intelligence
Dr. APJ. Abdul Kalam University
17 Years
Programming
Deep Learning, Data Mining, Cloud Computing
Mail: ali@sru.edu.in
Ph.D from Dr. APJ. Abdul Kalam University, Indore (M.P.)
M.Tech from Aurora's Research & Technological Institute, Warangal and MCA from University PG College, Hanamkonda
BCA from Masterji Degree & PG College, Hanamkonda
Assistant Professor at SR University, Warangal, from 2018-06-04 to .
Assistant Professor at Aurora's Research & Technological Institute, from 2007-11-05 to 2018-06-02.
Jr. Testing Engineer at Lending Space Pvt. Ltd., from 2006-06-01 to 2007-10-05.
Ph.D
PG
UG
Mohammed Ali Shaik, S. k. Koppula, M. Rafiuddin and B. S. Preethi, "COVID-19 Detector Using Deep Learning," 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2022, pp. 443-449, doi: 10.1109/ICAAIC53929.2022.9792694.
Mohammed Ali Shaik and Dhanraj Verma, "Prediction of Heart Disease using Swarm Intelligence based Machine Learning Algorithms", International Conference on Research in Sciences, Engineering & Technology, AIP Conf. Proc. 2418, 020025-1–020025-9; https://doi.org/10.1063/5.0081719, Published by AIP Publishing. 978-0-7354-4368-6, pp. 020025-1 to 020025-9
Mohammed Ali Shaik and Dhanraj Verma, "Predicting Present Day Mobile Phone Sales using Time Series based Hybrid Prediction Model", International Conference on Research in Sciences, Engineering & Technology, AIP Conf. Proc. 2418, 020073-1–020073-9; https://doi.org/10.1063/5.0081722, Published by AIP Publishing. 978-0-7354-4368-6, pp. 020073-1 to 020073-9
Mohammed Ali Shaik, MD.Riyaz Ahmed, M. Sai Ram and G. Ranadheer Reddy, "Imposing Security in the Video Surveillance", International Conference on Research in Sciences, Engineering & Technology, AIP Conf. Proc. 2418, 020012-1–020012-8; https://doi.org/10.1063/5.0081720, Published by AIP Publishing. 978-0-7354-4368-6, pp. 020012-1 to 020012-8.
Mohammed Ali Shaik, Geetha Manoharan, B Prashanth, NuneAkhil, Anumandla Akash and Thudi Raja Shekhar Reddy,"Prediction of Crop Yield using Machine Learning", International Conference on Research in Sciences, Engineering & Technology, AIP Conf. Proc. 2418, 020072-1–020072-8; https://doi.org/10.1063/5.0081726, Published by AIP Publishing. 978-0-7354-4368-6, pp. 020072-1 to 020072-8
Sallauddin Mohmmad, Ramesh Dadi, Kothandaraman D 1, E. Sudarshan, Syed Nawaz Pasha and Mohammed Ali Shaik, "A survey machine learning based object detections in an image", International Conference on Research in Sciences, Engineering & Technology, AIP Conf. Proc. 2418, 020024-1–020024-9; https://doi.org/10.1063/5.0081892, Published by AIP Publishing. 978-0-7354-4368-6, Pp: 020024-1 to 020024-9
G. Ranadheer Reddy, V.Pranathi, Mohammed Ali Shaik, T Chandra Prakash and V.Renuka, "An medical image analysis by deep learning", Iternational Conference on Research in Sciences, Engineering & Technology, AIP Conf. Proc. 2418, 020033-1–020033-6; https://doi.org/10.1063/5.0083703, Published by AIP Publishing. 978-0-7354-4368-6, pp. 020033-1 to 020033-5
Mohammed Ali Shaik, Dhanraj Verma, (2021), Agent-MB-DivClues: Multi Agent Mean based Divisive Clustering, Ilkogretim Online - Elementary Education, Vol 20(5), pp. 5597-5603, doi:10.17051/ilkonline.2021.05.629
Mohammed Ali Shaik and Dhanraj Verma, (2020), Enhanced ANN training model to smooth and time series forecast, 2020 IOP Conf. Ser.: Mater. Sci. Eng. 981 022038, doi.org/10.1088/1757-899X/981/2/022038
Mohammed Ali Shaik, Dhanraj Verma, P Praveen, K Ranganath and Bonthala Prabhanjan Yadav, (2020), RNN based prediction of spatiotemporal data mining, 2020 IOP Conf. Ser.: Mater. Sci. Eng. 981 022027, doi.org/10.1088/1757-899X/981/2/022027
Mohammed Ali Shaik and Dhanraj Verma, (2020), Deep learning time series to forecast COVID-19 active cases in INDIA: A comparative study, 2020 IOP Conf. Ser.:Mater.Sci.Eng. 981 022041, doi.org/10.1088/1757-899X/981/2/022041
Imran Qureshi, Burhanuddin Mohammad, Mohammed Abdul Habeeb and Mohammed Ali Shaik, (2020), Mathematical model for implementing Non Linear Time Series Forecasting using Deep Learning, 2020 IOP Conf. Ser.: Mater. Sci. Eng. 981 022021, doi.org/10.1088/1757-899X/981/2/022021
Sallauddin Mohmmad, Mohammed Ali Shaik, Ramesh Dadi, Syed Nawaz Pasha, Shabana and BonthalaPrabhanjan Yadav, (2020), Time for relative velocity optimal time approach in internet of vehicle communication, 2020 IOP Conf. Ser.: Mater. Sci. Eng. 981 022053, doi.org/10.1088/1757-899X/981/2/022053
Shabana, Sallauddin Mohmmad, Mohammed Ali Shaik, K Mahender, Ranganath Kanakam and Bonthala Prabhanjan Yadav, (2020), Average Response Time (ART):Real-Time Traffic Management in VFC Enabled Smart Cities, 2020 IOP Conf. Ser.: Mater.Sci.Eng.981 022054, doi.org/10.1088/1757-899X/981/2/022054
P Praveen, M Ranjith Kumar, Mohammed Ali Shaik, R Ravi kumar and R Kiran, (2020), The comparative study on agglomerative hierarchical clustering using numerical data, 2020 IOP Conf. Ser.: Mater. Sci. Eng. 981 022071, doi.org/10.1088/1757-899X/981/2/022071
Mohammed Ali Shaik, P. Praveen, “A Survey on Various Clustering Algorithms Using Nature Inspired Algorithms”, Journal of Mechanics Of Continua And Mathematical Sciences, Vol.-15, No.-7, July (2020) pp. 282-293 ISSN (Print) 0973-8975, DOI NO: doi.org/10.26782/jmcms.2020.07.00023
Mohammed Ali Shaik, “Time Series Forecasting using Vector quantization”, International Journal of Advanced Science and Technology (IJAST), ISSN:2005-4238,Volume-29,Issue-4 (2020), Pp.169-175.
Mohammed Ali Shaik, “Time Series Forecasting using Vector quantization”, International Journal of Advanced Science and Technology (IJAST), ISSN:2005-4238,Volume-29,Issue-4 (2020), Pp.169-175.
Mohammed Ali Shaik, “A Survey of Multi-Agent Management Systems for Time Series Data Prediction”, International Journal of Grid and Distributed Computing (IJGDC), ISSN:2005-4262,Volume-12,Issue-3 (2019), Pp.166-171.
Mohammed Ali Shaik, T. Sampath Kumar, P. Praveen, R. Vijayaprakash, “Research on Multi-Agent Experiment in Clustering”, International Journal of Recent Technology and Engineering (IJRTE), ISSN:2277-3878,Volume-8,Issue-1S4, June2019. Pp. 1126-1129.
T. Sampath Kumar, B. Manjula, Mohammed Ali Shaik, Dr. P. Praveen, “A Comprehensive Study on Single Signon Technique”, International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238, E-ISSN:2207-6360, Vol-127June-2019, pp. 435-441.
Mohammed Ali Shaik, P. Praveen, R. Vijaya Prakash, “Novel Classification Scheme for Multi Agents”, Asian Journal of Computer Science and Technology, ISSN: 2249-0701Vol.8 No.S3, 2019, pp.54-58.
Mohammed Ali Shaik, V. Sudharani, “Forth Factor Authentication: Who Am I”, International Journal of Scientific & Engineering Research, Vol.7, Issue8, August-2016, ISSN 2229-5518, pp. 1025-1029.
Imran Qureshi, Mohammed Ali Shaik, Kanchi Suresh, G.RamaMurthy, “Designing Parallel and Distributed Algorithms for Data Mining and Unification of Association Rule”, International Journal of Advances in Engineering Science and Technology (IJAEST),Volume3, Issue3, 2014, ISSN: 2319-1120, pp.157-163.
Imran Qureshi, Mohammed Ali Shaik, Kanchi Suresh, G.RamaMurthy, “A Data Mining Approach for Unification of Association Rules in Distribute and Parallel Databases”, International Journal of Emerging Trends and Technology in Computer Science (IJETTCS), Volume3, Issue 3, May–June2014, ISSN: 2278-6856, pp.184-188.
V. Sudha Rani, Mohammed Ali. Shaik, “IMPLEMENTATION OF USER FRIENDLY TEXT MESSAGING”, International Journal of Emerging Trends and Technology in Computer Science (IJETTCS), Volume 2, Issue 4, July–August 2013, ISSN:2278-6856, pp.085-092.
Mohammed Ali. Shaik, S.Narasimha Rao, Abdul Rahim, “A SURVEY OF TIME SERIES DATA PREDICTION ON SHOPPING MALL”, Indian Journal of Computer Science and Engineering (IJCSE), Volume 4 No.2 Apr-May 2013, ISSN:0976-5166, pp.174-184.
Mohammed Ali Shaik, Praveen Pappula, T Sampath Kumar, "Predicting Hypothyroid Disease using Ensemble Models through Machine Learning Approach", European Journal of Molecular & Clinical Medicine, 2022, Volume 9, Issue 7, Pages 6738-6745. https://ejmcm.com/article_21010.html
Mohammed Ali Shaik, M. Varshith, S. SriVyshnavi, N. Sanjana and R. Sujith, “Laptop Price Prediction using Machine Learning Algorithms”, 2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS), Nagpur, India, 2022, pp. 226-231, doi: 10.1109/ICETEMS56252.2022.10093357.
M. A. Shaik, M. Y. Sree, S. S. Vyshnavi, T. Ganesh, D. Sushmitha and N. Shreya, “Fake News Detection using NLP”, 2023 International Conference on Inovative Data Communication Technologies and Application (ICIDCA), Uttarakhand, India, 2023, pp. 399-405, doi: 10.1109/ICIDCA56705.2023.10100305.
M. A. Shaik, R. Sreeja, S. Zainab, P. S. Sowmya, T. Akshay and S. Sindhu, “Improving Accuracy of Heart Disease Prediction through Machine Learning Algorithms”, 2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA), Uttarakhand, India, 2023, pp. 41-46, doi: 10.1109/ICIDCA56705.2023.10100244.
Disclosed is a cotton-leaf disease recognition system (100) comprising, an image processing module (118) to pre -process a captured cotton-leaf image; a segmentation module (120) to segment the pre -processed image into segments by using
The covering means (100) for outdoor arenas is made of combining plurality of 2 -3 mm thickness particle foam Thermoplastic Polyurethane (TPU) mats. The Thermoplastic polyurethane is integrated with many feat ures including of rubber and p
This Invention comprises of methods to produce novel and efficient methods to implement search of data objects in various applications. It is based on the best match search to implement proximity or best match search over complex or more th
According to an aspect of the invention a Mean Base Divisive Clustering (MB-DivClues) method for categorizing unstructured data into various groups is disclosed. The constructive mean-based divisive clustering method is developed to reduce
The present invention relates to the use of Generative Adversarial Networks (GANs) for generating images and associated text. The invention includes a computer-implemented method and system for training a GAN with a generator network and a discriminator network using a dataset of images and associated captions, and generating a synthetic image and corresponding caption using the trained generator network. The invention enables the generation of realistic images and text that can be used for a wide range of applications,
A system for detection of coronavirus in users, comprising: a processor located on an application server and a storage medium is proposed which comprises of an image receiving module configured to receive a medical image; a feature extraction module is configured to extract features from the received medical image based on a training image set by using deep learning training models; a coronavirus detection module configured to detect the coronavirus in the users by correlating the extracted features of the received medical
Method And System For Providing Generative Adversarial Network For Image and Text Synthesis
Certified "AI-900 Microsoft Azure AI Fundamentals"
Certified "AWS Cloud Practitioner"
Certified "AZ-900 Microsoft Azure Fundamentals "
