Prof.Dr.E.Syed Mohamed

@crescent.education

Professor - Department of Computer Science and Engineering, BSA Crescent Institute of Science and Technology, Chennai, India
B.S.Abdur Rahman Crescent Institute of Science and Technology, Chennai, Tamil Nadu, INDIA

Prof.Dr.E.Syed Mohamed


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I maintain an active program of research, mentor, and guide the students in Computer Science
& Engineering with more than 20 years of Academic cum Research experience and 4.6 years in
IT Industries.
I earned my Doctorate in Computer Science from B.S. Abdur Rahman Crescent University in
2015. I am the First Internal engineering faculty awarded PhD in B.S Abdur Rahman University.
I have
• Published 27 International Journal Publications, 25 International Conference Publications
• Patents: Granted : 01 & Published :03
• Guided : 38 U.G Students,14 P.G students and 04 Ph.D Scholars
• Guiding 08 Ph.D. Students.
• Organized more than 125 events including 50 research-oriented activities
• Received the Best Faculty, Best Presenter, Best Researcher Award,
Best Faculty Performance Award and Best Paper awards
• Delivered 21 Invited talks for the various institutions.
My area of Research:
 Soft Computing, Mathematical Modelling, Big data & Data Visualization.

EDUCATION

Post Doctoral Fellow in Computer Science and Engineering (March 2023 – August 2024)
 Curtin University Dubai, U.A,E
Ph.D. in Computer Science & Engineering (2010 - 2015).
 BSA Crescent Institute of Science &Technology(Deemed university) ,Chennai
Title: Cellular Automata and Geometric models for Propagation of Tsunami Waves.
M.E. in Computer Science & Engineering, University of Madras (2001 -2003).
 Dr M.G.R Engineering College ,Chennai
B.Tech. in Electrical and Electronics Engineering, University of Madras(1994 - 1997).
 Hindustan College of Engineering, Chennai
Diploma. in Electrical and Electronics Engineering, DOTE(1991 - 1994).
 T.R.I. Polytechnic College ,Perambalur. Tamilnadu

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Computer Engineering, Artificial Intelligence, Computational Mathematics
34

Scopus Publications

488

Scholar Citations

11

Scholar h-index

11

Scholar i10-index

Scopus Publications

  • DGDO-BiLSTM: Dominance Guiding Defense Optimization-based Bidirectional Long Short-Term Memory for Sentiment Analysis using Multilingual text and emojis
    MOHD MISKEEN ALI, SYED MOHAMED E
    Information Sciences, 2025
  • Implementation and validation of the TIMPULSE-SIM model for predicting tsunami wave behavior in the 2024 Kyushu, Hyuganada sea and 2011 Tohoku, Honshu tsunamis in Japan region
    E. Syed Mohamed, M. Yasmin Regina
    Natural Hazards, 2025
  • Modelling of Tsunami Wave Generated by Volcanic EruptionUsing Impulsive Disturbance for 2022, Tonga Island Tsunami
    E. Syed Mohamed, M. Yasmin Regina
    Proceedings 2025 8th International Conference on Data Science and Machine Learning Applications Cdma 2025, 2025
    Tsunamis caused by volcanic eruptions have received less research, because of the intricacy of the generation and the rarity of their occurrence in the past. Frequency of occurrence of a volcanic event in the Pacific Rim and the ensuing harm to mankind, it is now vital to forecast the genesis and behavior of tsunamis caused by volcanic eruptions to avoid catastrophic destruction. Tsunami generation is modelled in this study using the eruption's impulse force and a flow rate comparison between the erupted materials and the seawater. The initiated tsunami wave propagation height is computed using the energy of displaced seawater, and the tsunami propagation phase is modelled using the Boussinesq approximation and solitary wave theory. The tsunami's phases are modelled for the Hunga Tonga-Hunga Ha'apai volcanic eruption event in 2022, and the tsunami wave characteristics are projected to reach Nuku'alofa, Tonga's capital city. The wave height and travel time of the tsunami reaching the coast of Nuku'alofa are calculated as 0.8338 m and 19 minutes 34 seconds, therefore the tsunami hit Nuku'alofa at 04:46:34 UTC.
  • Meta-Learning and Deep Convolutional Recurrent Neural Network with Foraging Phero Trap Optimization for Heart Disease Prediction
    Mohammed Irshad, E. Syed Mohamed
    Annals of Data Science, 2025
  • An Efficient Blockchain and Deep Learning-Based Framework for Secure Healthcare Data Management and Disease Prediction
    Syed Mohamed E, Soundarapandiyan K, Dinesh Kumar S, Syed Abdul Syed S
    2025 International Conference on Computing and Communication Technologies Iccct 2025, 2025
    Healthcare data security is a pressing concern given the surge in data breaches, with over 750 incidents reported in 2021 alone, exposing more than 193 million personal records. This paper introduces an Efficient Data Security System that leverages smart contracts, WEB 3.0 deep learning algorithms, and blockchain technology to address these challenges. The system provides robust data protection by eliminating the need for encryption keys, utilizing blockchain for tamper-proof storage, and incorporating advanced deep learning algorithms for predictive analytics. The framework of WEB 3.0 integrates blockchain at the backend, ensuring secure and immutable data storage. Smart contracts enable automated and transparent data access without compromising security. Additionally, the system utilizes the InterPlanetary File System (IPFS) for efficient image storage and retrieval, enhancing data accessibility while maintaining cryptographic security. The integration of deep learning algorithms enables predictive analytics for medical conditions such as Alzheimer's disease and tumor detection, further enhancing the system's capabilities in healthcare data management and analysis.
  • AI-Based Infectious-Disease Surveillance Monitoring Using Koipe Mechanism
    S.Syed Abdul Syed, E.Syed Mohamed, A. Nazreen, C. Tamilarasi, P.Joy Kirupa, I. Karthiga
    2025 International Conference on Computing and Communication Technologies Iccct 2025, 2025
    In today's interconnected world, individuals' health and location data are often dispersed across multiple organizations, holding the potential to yield valuable insights when consolidated and analyzed. However, merging data from various hosting sites poses significant privacy risks, even when employing security measures. This project delves into a novel data-analytics platform designed to identify infectious disease geographic hotspots by combining and examining users' location and health data, housed separately in two distinct cloud environments. A core focus of the study is to evaluate the privacy implications of this platform employs a technology known as key-oblivious inner product encryption (KOIPE) mechanism. This encryption method ensures that only aggregated statistical data is disclosed to potential snooping entities, termed as honest-but-curious (HbC) entities. To fortify user confidentiality against potential inference attacks, a game-theoretic strategy is employed. This approach incentivizes consumers to collaboratively build anonymous clusters that support quantified privacy assurance. By addressing the intricate balance between data integration and privacy preservation, this project aims to pioneer a secure and privacy-centric approach to infectious disease surveillance. Through rigorous analysis and innovative methodologies, the platform seeks to empower public health authorities with actionable insights while safeguarding individual privacy rights, fostering trust, and promoting user engagement in health-related data sharing and analytics.
  • Computational Modelling of 2004 Off West Coast of Sumatra Earthquake-Tsunami Wave Propagation Using Two-Dimensional Cellular Automata in the Eastern Indian Coast
    E. Syed Mohamed, M. Yasmin Regina, S. Syed Abdul Syed
    Journal of the Geological Society of India, 2024
    The ability to detect destructive tsunamis and spare lives from serious harm has made the computation of tsunami wave dynamics increasingly important. The tremendous loss of life and property brought on by the 26th of December, 2004 tsunami has raised the demand for accurate and timely propagation of tsunami wave simulations. These days, a variety of early warning technologies and models are utilized to predict tsunami waves. The propagation phase of a tsunami wave is simulated using two-dimensional cellular automata of rectangular lattices in eight directions from this research. Modelling of the Sumatra-Andaman earthquake in 2004 to simulate the propagation of tsunami waves to strike the northern coasts of India. The earliest tsunami arrival time, travel time, and wave spread rate are determined from this study, and the results are verified using historical data.
  • Advancements and Challenges in Heart disease Prediction Model: A Survey
    Mohammed Irshad, E.Syed Mohamed
    2nd International Conference on Self Sustainable Artificial Intelligence Systems Icssas 2024 Proceedings, 2024
    Cardiovascular diseases continue to be a major concern in the global health forum which is estimated that they contribute to more than 60% of all yearly adult deaths in the world according to the World Health Organization. A heart’s inability to pump blood effectively results in high blood pressure, which exacerbates heart disease and raises the risk of sudden death. To meet this dire need, there is a need to come up with diagnostic systems that can be relied on to detect these diseases in the shortest time possible and with maximum accuracy. Such systems would therefore facilitate the treatment and check on persons, to ensure that they do not develop complications such as heart attacks. The use of Deep Learning (DL) and machine learning (ML) has demonstrated promise recently in this area and provides a range of advanced automated techniques for the diagnosis, treatment, and prognosis of cardiac disorders. Specifically, the developed review aims to present an overview of the related detection techniques, features extraction process, commonly used datasets, and performance indices. Particularly, it analyzes cases like Cleveland Heart Disease data, MIT-BIH Arrhythmia data, Framingham Heart Study data, and so on. The study compares approximately 25 research papers with a focus on the methodologies, difficulties, and findings in terms of computational complexity, data demands, feature constraints, and model portability. As this research aims to fill the literature gaps, it also aims to provide a generalized solution for various issues in heart disease detection and healthcare results improvement.
  • Machine Learning-Based Cellular Automata Model and Frame Work for Tsunami Wave Propagation in Indian Coastal Region
    Syed Mohamed E, Chithirai Pon Selvan M
    2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science Amathe 2024, 2024
    Simulating the spread of tsunami waves quantitatively holds significant importance in devising swift risk management strategies and implementing efficient solutions for predicting the earliest arrival time. One effective method for dynamically simulating the spatiotemporal evolution of complex systems is through the use of cellular automata (CA), making it a suitable choice for modeling the intricate process of tsunami wave propagation. Nevertheless, the phenomenon of tsunami wave propagation is intricately linked with numerous interdependent factors, rendering it too intricate for analysis using traditional approaches. In answer to this challenge, we present a brand-new method for simulating the propagation of tsunami waves called LSSVM-CA. In this novel method, we integrate a three-dimensional tsunami wave CA framework with least squares support vector machines (LSSVM). We can now take into account and examine how neighboring waves affect the propagation patterns thanks to this integration. Using a dataset derived from historical data, LSSVM is trained to create sophisticated state transformation rules for tsunami wave propagation. We compared the LSSVM-CA-simulated tsunami wave spread areas with the real observed tsunami wave spread areas in order to evaluate the efficacy of the model. The outcomes unequivocally show how well LSSVM-CA simulates tsunami wave propagation accurately calculates a probability of the waves spreading.
  • Computational Analysis of Tsunami Wave Run-Up by Implementation of TIMPULSE-SIM Model with Japan and Indonesian Seismic Tsunami
    M. Yasmin Regina, E. Syed Mohamed
    Wseas Transactions on Environment and Development, 2024
    The alternative newly developed TIMPULSE-SIM model is used for forecasting all three phases of seismic/earthquake-induced tsunami waves. The main objective of this modeling is to predict the earliest arrival time of tsunami with less computation time. This paper analyses the third phase or the run-up phase of tsunami. The assessment of tsunami wave run-up minimize the risk in coastal community due to the tsunami impact. The paper introduces a closed set of algebraic expressions for modeling the run-up phase and the reliability of the model is analyzed by implementing and testing of this model to the two major historical seismic tsunami are, 2004 Indonesian Subduction zone tsunami in Indian ocean region, 2011 Great east Japan tsunami in Pacific ocean region. From this study, this proposed model should be a good alternative to the existing model for applying to the real time tsunami event because it includes the nonlinearity and frequency dispersion of wave, and applied to both near and far field tsunamis, efficient to apply for a long duration, mainly the computation time is achieved in O(minutes). More than 90 percentage of accuracy achieved in this model by validating the simulated results with the historical and other existing model that emphasize the model’s reliability.
  • Computation Models for Tsunami Wave Propagation using Extended Cellular Automata
    Syed Mohamed E., Chithirai Pon Selvan M.
    Wseas Transactions on Environment and Development, 2024
  • A Systematic Review of Machine Learning, Deep Learning, and Natural Language Processing for Sentiment Analysis
    Mohd Miskeen Ali, E.Syed Mohamed
    2nd International Conference on Self Sustainable Artificial Intelligence Systems Icssas 2024 Proceedings, 2024
  • A hybrid mental health prediction model using Support Vector Machine, Multilayer Perceptron, and Random Forest algorithms
    E. Syed Mohamed, Tawseef Ahmad Naqishbandi, Syed Ahmad Chan Bukhari, Insha Rauf, Vilas Sawrikar, Arshad Hussain
    Healthcare Analytics, 2023
  • Modeling study of tsunami wave propagation
    M. Yasmin Regina, E. Syed Mohamed
    International Journal of Environmental Science and Technology, 2023
  • Enhanced Chaotic Map Based Key Agreement to Mitigate Packet Dropping Attack from MANETs
    Syed Abdul Syed S, Atheeq C, Abdul Azeez Khan A, Javubar Sathick K, Syed Mohamed E, Altaf C
    Ssrg International Journal of Electronics and Communication Engineering, 2023
  • VM queuing optimal scheduling in cloud using heuristic ant colony optimal based multi-objective genetic approach
    Madhina Banu Dawood Ali, Enayathullah Syed Mohamed
    Indonesian Journal of Electrical Engineering and Computer Science, 2023
  • Computational analysis of tsunami wave behaviour for three historical tsunami events using t-impulse model
    Syed Mohamed E., Pon Selvan C. M.
    Wseas Transactions on Environment and Development, 2023
  • Computation Model to forecast the tsunami wave propagation by 2-dimensional Multi-Resolution Cellular Automata for the 2004 Indian Ocean tsunami
    E. Syed Mohamed, M. Yasmin Regina
    Proceedings 2022 3rd International Conference on Computation Automation and Knowledge Management Iccakm 2022, 2022
  • Advanced hybrid ensemble gain ratio feature selection model using machine learning for enhanced disease risk prediction
    Syed Javeed Pasha, E. Syed Mohamed
    Informatics in Medicine Unlocked, 2022
  • Complex event processing for effective poultry management in farmlands with predictive analytics
    C. Imthyaz Sheriff, C. Hema, J. Joshua, E. Syed Mohamed
    International Journal of Cloud Computing, 2022
  • Secure Blockchain-Based Mental Healthcare Framework:—A Paradigm Shift from Traditional to Advanced Analytics
    Tawseef Ahmad Naqishbandi, E. Syed Mohammed, S. Venkatesan, A. Sonya, Korhan Cengiz, Yusra Banday
    Lecture Notes on Data Engineering and Communications Technologies, 2022
  • Phonocardiography (PCG) Signal Optimization and Compression for Low Line Transmission in Telemedicine
    Syed Thouheed Ahmed, E. Syed Mohamed
    Lecture Notes in Electrical Engineering, 2021
  • Case Study: Extenuation of XSS Attacks through Various Detecting and Defending Techniques
    K. Vijayalakshmi, E. Syed Mohamed
    Journal of Applied Security Research, 2021
  • Interactive Multi Resolution 2D Cellular Automata Model for Tsunami Wave Propagation
    E Syed Mohamed
    Journal of Physics Conference Series, 2020
  • Ensemble Gain Ratio Feature Selection (EGFS) Model with Machine Learning and Data Mining Algorithms for Disease Risk Prediction
    Syed Javeed Pasha, E.Syed Mohamed
    Proceedings of the 5th International Conference on Inventive Computation Technologies Icict 2020, 2020
  • Study on analytical modelling of tsunami wave propagation
    Yasmin Regina M, Syed Mohamed E
    Advances in Parallel Computing, 2020
  • Novel Feature Reduction (NFR) model with machine learning and data mining algorithms for effective disease risk prediction
    Syed Javeed Pasha, E. Syed Mohamed
    IEEE Access, 2020
  • Bio inspired ensemble feature selection (BEFS) model with machine learning and data mining algorithms for disease risk prediction
    Syed Javeed Pasha, E. Syed Mohamed
    Proceedings 2019 5th International Conference on Computing Communication Control and Automation Iccubea 2019, 2019
  • Hadoop-MapReduce job scheduling algorithms survey
    Ehab Mohamed, Zheng Hong
    Proceedings 2016 7th International Conference on Cloud Computing and Big Data Ccbd 2016, 2017
  • Investigation of aerial vehicle On-Board Computer software based on RT-Linux
    Ehab Mohamed, Zheng Hong
    Proceedings of 2016 IEEE Advanced Information Management Communicates Electronic and Automation Control Conference Imcec 2016, 2017
  • A study of tsunami model for propagation of oceanic waves
    Journal of Theoretical and Applied Information Technology, 2014
  • Tsunami wave simulation models based on hexagonal cellular automata
    Wseas Transactions on Fluid Mechanics, 2013
  • A geometric model for propagation of tsunami waves
    9th US National and 10th Canadian Conference on Earthquake Engineering 2010 Including Papers from the 4th International Tsunami Symposium, 2010
  • Temperature effect on behaviour, oxygen consumption, ammonia excretion and tolerance limit of the post larvae of shrimp penaeus indicus
    Journal of Environmental Science and Engineering, 2008

RECENT SCHOLAR PUBLICATIONS

  • DGDO-BiLSTM: Dominance Guiding Defense Optimization-based Bidirectional Long Short-Term Memory for Sentiment Analysis using Multilingual text and emojis
    AMMS Mohamed E
    Information Sciences 716, 122193 , 2025
    2025
    Citations: 2
  • Meta-Learning and Deep Convolutional Recurrent Neural Network with Foraging Phero Trap Optimization for Heart Disease Prediction
    M Irshad, E Syed Mohamed
    Annals of Data Science, 1-38 , 2025
    2025
  • AI-Based Infectious-Disease Surveillance Monitoring Using Koipe Mechanism
    SSA Syed, ES Mohamed, A Nazreen, C Tamilarasi, PJ Kirupa, I Karthiga
    2025 International Conference on Computing and Communication Technologies … , 2025
    2025
  • Implementation and validation of the TIMPULSE-SIM model for predicting tsunami wave behavior in the 2024 Kyushu, Hyuganada sea and 2011 Tohoku, Honshu tsunamis in Japan region
    ES Mohamed, MY Regina
    Natural Hazards 121 (6), 6921-6953 , 2025
    2025
    Citations: 1
  • Modelling of Tsunami Wave Generated by Volcanic EruptionUsing Impulsive Disturbance for 2022, Tonga Island Tsunami
    ES Mohamed, MY Regina
    2025 8th International Conference on Data Science and Machine Learning … , 2025
    2025
  • Modelling of Tsunami Wave Generated by Volcanic Eruption Using Impulsive Disturbance for 2022 Tonga Island Tsunami
    SMEY Regina M
    IEEE Conference , 2025
    2025
  • A systematic review of machine learning, deep learning, and natural language processing for sentiment analysis
    MM Ali, ES Mohamed
    2024 2nd International Conference on Self Sustainable Artificial … , 2024
    2024
    Citations: 3
  • Advancements and Challenges in Heart disease Prediction Model: A Survey
    M Irshad, ES Mohamed
    2024 2nd International Conference on Self Sustainable Artificial … , 2024
    2024
    Citations: 1
  • Determinants of reproductive efficiency and pregnancy outcomes in arabian purebred and french saddle mares in western of Algeria Determinantes da eficiencia reprodutiva e …
    B Mohammed, AA Abdelkader, E Mohamed, T Hakim, A Ahmed
    Brazilian Journal of Animal and Environmental Research 7 (4), 1-20 , 2024
    2024
    Citations: 1
  • Computational Analysis of Tsunami Wave Run-Up by Implementation of TIMPULSE-SIM Model with Japan and Indonesian Seismic Tsunami
    ESM M. Yasmin ReginaWSEASGoogle Scholar
    WSEAS Transactions on Environment and Development 20 (1), 701-720 , 2024
    2024
  • Computation Models for Tsunami Wave Propagation using Extended Cellular Automata
    CPONSM SYED MOHAMED E.
    WSEAS TRANSACTIONS on ENVIRONMENT and DEVELOPMENT 20 (1), 578 -590 , 2024
    2024
  • Computational Modelling of 2004 Off West Coast of Sumatra Earthquake-Tsunami Wave Propagation Using Two-Dimensional Cellular Automata in the Eastern Indian Coast
    SSAS E.Syed Mohamed, M. Yasmin Regina
    Jour. Geol. Soc. India 100 (9), 1331–1337 , 2024
    2024
  • A hybrid mental health prediction model using Support Vector Machine, Multilayer Perceptron, and Random Forest algorithms
    ES Mohamed, TA Naqishbandi, SAC Bukhari, I Rauf, V Sawrikar, ...
    Healthcare Analytics 3, 100185 , 2023
    2023
    Citations: 131
  • Modeling study of tsunami wave propagation
    MY Regina, ES Mohamed
    International Journal of Environmental Science and Technology 20 (9), 10491 … , 2023
    2023
    Citations: 15
  • VM queuing optimal scheduling in cloud using heuristic ant colony optimal based multi-objective genetic approach
    MBD Ali, ES Mohamed
    Indonesian Journal of Electrical Engineering and Computer Science 29 (3 … , 2023
    2023
    Citations: 2
  • Computational Analysis of Tsunami Wave Behaviour for Three Historical Tsunami Events using T-Impulse Model
    SYED MOHMAED E, PON SELVAN CM
    WSEAS Transactions on Environment and Development 19, 1357-1370 , 2023
    2023
  • Enhanced Chaotic Map Based Key Agreement to Mitigate Packet Dropping Attack from MANETs
    CA S. Syed Abdul Syed, C. Atheeq, A. Abdul Azeez Khan, K. Javubar Sathick, E ...
    International Journal of Electronics and Communication Engineering 10 (7), 23-32 , 2023
    2023
    Citations: 3
  • Metaverse!: possible potential opportunities and trends in e-healthcare and education
    M Syed, A Tawseef, G Veronese
    International Journal of E-Adoption 15 (2), 1-21 , 2023
    2023
    Citations: 42
  • Computation Model to forecast the tsunami wave propagation by 2-dimensional Multi-Resolution Cellular Automata for the 2004 Indian Ocean tsunami
    ES Mohamed, MY Regina
    2022 3rd International Conference on Computation, Automation and Knowledge … , 2022
    2022
    Citations: 1
  • Understanding Impact of Communication Ban on Mental Health in Conflict Zone:-Experiences from Young Kashmiri Research Scholars
    TA Naqishbandi, Z Gulzar, AA Dar, U Farooq
    Journal of Loss and Trauma 27 (1), 95-98 , 2022
    2022
    Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

  • A hybrid mental health prediction model using Support Vector Machine, Multilayer Perceptron, and Random Forest algorithms
    ES Mohamed, TA Naqishbandi, SAC Bukhari, I Rauf, V Sawrikar, ...
    Healthcare Analytics 3, 100185 , 2023
    2023
    Citations: 131
  • Novel feature reduction (NFR) model with machine learning and data mining algorithms for effective disease risk prediction
    SJ Pasha, ES Mohamed
    Ieee Access 8, 184087-184108 , 2020
    2020
    Citations: 84
  • Metaverse!: possible potential opportunities and trends in e-healthcare and education
    M Syed, A Tawseef, G Veronese
    International Journal of E-Adoption 15 (2), 1-21 , 2023
    2023
    Citations: 42
  • Advanced hybrid ensemble gain ratio feature selection model using machine learning for enhanced disease risk prediction
    ESM Syed JaveedPashaa
    Informatics in Medicine Unlocked 32 , 2022
    2022
    Citations: 24
  • Ensemble gain ratio feature selection (EGFS) model with machine learning and data mining algorithms for disease risk prediction
    SJ Pasha, ES Mohamed
    2020 International conference on inventive computation technologies (ICICT … , 2020
    2020
    Citations: 23
  • Yield stability in common bean genotypes (Phaseolus vulgaris L.) in the Sudan
    M Mohammed, E Mohamed
    Journal of Plant Breeding and Crop Science , 2013
    2013
    Citations: 17
  • An energy efficiency distributed routing algorithm based on HAC clustering method for WSNs
    SSA Syed, TS Kumaran, AS Ahmed
    Indian Journal of Science and Technology 7 (S7), 66-75 , 2014
    2014
    Citations: 16
  • Modeling study of tsunami wave propagation
    MY Regina, ES Mohamed
    International Journal of Environmental Science and Technology 20 (9), 10491 … , 2023
    2023
    Citations: 15
  • Case Study: extenuation of XSS attacks through various detecting and defending techniques
    K Vijayalakshmi, E Syed Mohamed
    Journal of Applied Security Research 16 (1), 91-126 , 2021
    2021
    Citations: 13
  • Phonocardiography (PCG) signal optimization and compression for low line transmission in telemedicine
    ST Ahmed, E Syed Mohamed
    International Conference on Automation, Signal Processing, Instrumentation … , 2020
    2020
    Citations: 13
  • Bio inspired ensemble feature selection (BEFS) model with machine learning and data mining algorithms for disease risk prediction
    SJ Pasha, ES Mohamed
    2019 5th International Conference On Computing, Communication, Control And … , 2019
    2019
    Citations: 11
  • Secure Blockchain-Based Mental Healthcare Framework:—A Paradigm Shift from Traditional to Advanced Analytics
    SV Tawseef Ahmad Naqishbandi, E. Syed Mohammed
    Quantum and Blockchain for Modern Computing Systems: Vision and Advancements … , 2022
    2022
    Citations: 9
  • Study on analytical modelling of tsunami wave propagation
    YR Ma, SM Eb
    Intelligent Systems and Computer Technology 37, 479 , 2020
    2020
    Citations: 9
  • Tsunami Wave Simulation Models Based on Hexagonal Cellular Automata
    ES Mohamed, S Rajasekaran
    WSEAS Trans. Fluid Mech 8, 91-101 , 2013
    2013
    Citations: 9
  • Technical Efficiency of Producing Sorghum in Kordofan State, Case Study Habila Mechanized Rain-fed Sector
    E Mohamed, A Ahmed, K Siddig
    The Bangladesh Journal of Agricultural Sciences 35 (1), 17-22 , 2008
    2008
    Citations: 9
  • A Manikandan B and S. Rajesh, A Novel Broadcasting Method For Code Dissemination In Wireless Sensor Networks
    SSA Syed, S Kumaran, AS Ahmed, ES Mohamed
    International Journal of Electrical Engineering & Technology 6 (7) , 2015
    2015
    Citations: 7
  • A Resilient Strategy against Energy Attacks in Ad-Hoc WSN and Future IoT
    TA Naqishbandi, C Imthyaz Sheriff
    International Journal of Advanced Research in Computer Science and Software … , 2014
    2014
    Citations: 6
  • Understanding Impact of Communication Ban on Mental Health in Conflict Zone:-Experiences from Young Kashmiri Research Scholars
    TA Naqishbandi, Z Gulzar, AA Dar, U Farooq
    Journal of Loss and Trauma 27 (1), 95-98 , 2022
    2022
    Citations: 5
  • Tsunami wave propagation models based on two-dimensional cellular automata
    ES Mohamed, S Rajasekaran
    International Journal of Computer Applications 975, 8887 , 2012
    2012
    Citations: 5
  • GRADIENT BLENDING OF IMAGES FOR CONTENT AWARE IMAGE RESIZING
    A Kamala, PG Scholar, ES Mohamed
    2015
    Citations: 4

Publications

E.Syed Mohamed,M. Yasmin Regina,S. Syed Abdul Syed, “Computational Modelling of 2004 Off West Coast of Sumatra Earthquake-Tsunami Wave Propagation Using Two-Dimensional Cellular Automata in the Eastern Indian Coast” , Jour. Geol. Soc. India (2024) 100 (9): 1331–1337., (Scopus)
S. Syed Abdul Syed,E.Syed Mohamed et Chaotic Map Based Key Agreement to Mitigate Packet Dropping Attack from MANETs”,International Journal of Electronics and Communication Engineering,Volume 10 Issue 7, 23-32, July 2023
(10.14445/23488549/IJECE-V10I7P103)
E. Syed Mohamed, Tawseef Ahmad Naqishbandi “A hybrid mental health prediction model using Support Vector Machine, Multilayer Perceptron, and Random Forest algorithms” Healthcare Analytics – Elsevier – 2 May 2023 (
Madhina Banu D, E Syed Mohamed,”VM queuing optimal scheduling in cloud using heuristic ant colony optimal based multi-objective genetic approach”,Indonesian Journal of Electrical Engineering and Computer Science, March 2023, 29(3), pp. 1542–1550(Scopus)
(10.11591/
E. Syed Mohamed, Tawseef Ahmad Naqishbandi, “Metaverse!: Possible Potential Opportunities and Trends in E-Healthcare and Education”, International Journal of E-Adoption (IJEA), Volume 15 Issue 2,Jan 2023 (DOI : 10.4018/

GRANT DETAILS

Patent Details

Indian Patent

Patent – Granted
Patent Number : 497717
Date of Filing : 09/08/2022
invention entitled “A SYSTEM AND METHOD FOR REMOTE CONTROLLING A PLURALITY OF APPLIANCE”
Date of Grant : 11/01/2024

Patent Filed / yet to be published: 02, Patent Published: 03
Title of patent: A System and Method for Remote Controlling a Plurality of Appliances
Date of filing of Application: 09/08/2022
The Patent Office Journal No. 33/2022 Dated 19/08/2022

Title of patent: Real-Time Agriculture Field Monitoring System Using IoT
Date of filing of Application: 26/03/2022
The Patent Office Journal No. 15/2022 Dated 15/04/2022

Title of patent: IoT-Based Smart Table Calendar for Information Recording and to do activity Generating
Date of filing of Application: 02/08/2022
The Patent Office Journal No. 31/2022 Dated 05/08/2022

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

Govt. Project Completed
A funded project proposal on the title “Cellular Automata and Geometric models for Propagation of Tsunami Waves” to SERB, DST
Budget: Lakhs
Duration: July 2019 – June 2022 (36 Months)
Principal Investigator – Mohamed
Verification and Validation support : National Institute of Ocean Technology (NIOT), Ministry of Earth Sciences, Government of India,Pallikaranai, Chennai, Tamil Nadu.

Indian Patent

Patent – Granted
Patent Number : 497717
Date of Filing : 09/08/2022
invention entitled “A SYSTEM AND METHOD FOR REMOTE CONTROLLING A PLURALITY OF APPLIANCE”
Date of Grant : 11/01/2024

CONSULTANCY

Consultancy Project Completed

Project title : Robo Eye
Project Support : Gibraltar Technologies LLC, United Arab Emirates
Duration : October 2021 – November 2022

Industry, Institute, or Organisation Collaboration

ATAL Academy – AICTE Sponsored FDP Conducted

Sponsored FDP Conducted

ATAL Academy – AICTE Sponsored Online FDP has been approved by ATAL Academy – AICTE

One Week Online Faculty Development Programme On Data Science (21st-25th September 2020)

IT Industry Sponsored

One Week Faculty Development Programme On Generative AI & AWS Cloud (28th June – 03rd July 2024)

Seed money Project completed

Project title: A prototype model for the representation of tsunami behaviors on the various beach slope with protective measures of tsunami barrier
Project Support: BSACIST
Duration: July 2022 – June 2023

INDUSTRY EXPERIENCE

Work Experience in Industrial – 4.6 Years

SOCIAL, ECONOMIC, or ACADEMIC BENEFITS

Asia Books of Records

Received an Organizer Award in “Longest Running Covid Awareness Online Creative Programme” recognized by Asia Book of Records for International online COVID-19 awareness events INTELLECT 2k20-21(As a founder) during the lockdown and pandemic of the year 2020 & 2021. Received award on 28.12.2022

in News 7 TV)

India Books of Records 2023

Received “Longest Running Awareness Events” recognized by India Book of Records for International online COVID-19 awareness events INTELLECT 2k20-21(As a founder) during the lockdown and pandemic of the year 2020 & 2021.
(Page 48)
Online World Record (Ref: OWR 22H12N253)
Most Number of Virtual Covid Awareness Programme conducted by Institute”- recognized by Online World Record for International online COVID-19 awareness events INTELLECT 2k20-21 during the lockdown and pandemic of the year 2020 & 2021.
Received award on 30.01.2023
Awards

“STAR KEYNOTE SPEAKER AWARD-2024 by FEDA – World Education Conference – (WEC-FEDA 2024) on 27-28th July, 2024 at Hamdan Bin Mohammed Smart University, Dubai
Indo Middle East Excellence Award -2022 by (WIRIC SBMHSE – 2022) organized by Global Research Conference Forum and held on 19th & 20th, 2022 at DUABI