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AI Research Centre

Centre Head


Assoc. Prof. Dr. K. Suresh Manic
Head, Artificial Intelligence Research Centre
College of Engineering, National University, Oman
📧 [email protected]
+968 91990856
+968 22641126

Overview:

College of Engineering, National University, Oman

The Artificial Intelligence Research Centre (AIRC) is a national research and innovation hub under the College of Engineering, National University, Oman, dedicated to advancing the frontiers of Artificial Intelligence (AI) to address pressing challenges in education, healthcare, agriculture, environment, tourism, and society.

Our research spans five core areas: AI in Education, Healthcare AI, Agricultural & Environmental Intelligence, Responsible & Ethical AI, and Applied Robotics. These pillars reflect our mission to build smarter, more sustainable, and inclusive communities through AI-driven solutions.

AIRC is also home to the newly established Robotics & Intelligent Systems Hub, which supports research and development in autonomous systems, agricultural robotics, and real-world AI-powered solutions for Oman’s key sectors.

AIRC serves as a catalyst for impactful research, interdisciplinary collaboration, and capacity building—positioning Oman as a regional leader in responsible, applied AI innovation.

🎯 Mission

To pioneer applied AI research that delivers real-world solutions, strengthens institutional capabilities, and empowers people and communities—through innovation, education, and strategic partnerships.

👁️ Vision

To become a regional center of excellence in Artificial Intelligence, driving transformative innovation that aligns with:

  • Oman Vision 2040 – through digital transformation, education, and sustainability goals,
  • MoHERI priorities – in research, innovation, and emerging technologies,
  • UN Sustainable Development Goals (SDGs) – especially SDG 4 (Quality Education), SDG 9 (Industry, Innovation and Infrastructure), and SDG 11 (Sustainable Cities and Communities).

Product Developed

Gen Alpha Project for education 2021-2023 Bimanic Model
Agricultural Robot
2022-2024		 Manic tree trekker video
Manic tree trekker video 2
Gen AI project for education 2023-2025 A2M Model
A2M Tutor Model 

Leadership & Team

Driving Innovation with Vision, Expertise, and Collaboration

The Artificial Intelligence Research Centre (AIRC) is led by a multidisciplinary team of experts committed to research excellence, societal impact, and national development.

AI Core Research Members

  1. Dr Ali Bimani
  2. Prof Seyadali Mirjalili, Torrens University, Australia
  3. Dr Ali Safaa, Nottingam Trent University, UK
  4. Dr Ali Abdullah Hamed Al Mahruqi
  5. Saleh Salim Khamis Al Araimi
  6. Dr Imad Saud Al Naimi
  7. Dr Feras Al Attar
  8. Dr Moammer Ali Saud Al Tubi
  9. Dr Vijayalakshmi
  10. Dr Geetha Achuthan
  11. Dr Mustafa Rashid AL Khaifi (HOD Radiology, Rustaq Hospital,Oman –Doctor, External Member)
  12. Prasanth (Acting Head Pediatrics, CoMHS)
  13. Venkatesan Rajinikanth (Prof, SIMATS, India-Researcher External Member)
  14. Dr Amuthakannan
  15. Mr G.Balaji, TCS India-RA

Collaborations

New Extension:

Robotics & Intelligent Systems Hub

As part of its strategic expansion, AIRC is launching the Robotics & Intelligent Systems Hub, which will serve as a dedicated space for the design, development, and prototyping of autonomous and semi-autonomous systems.

Key focus areas include:

  • Agricultural Robotics (e.g., MANIC Tree Trekker)
  • AI-driven automation for smart cities
  • Assistive robotics for inclusion and accessibility

The Robotics Hub will also support hands-on learning, final-year projects, and interdisciplinary research across engineering, computer science, and AI.

MoU Signed with:

Our Collaborative Ethos

AIRC thrives on collaboration — we work closely with:

  • Government bodies (MoE, MoHERI, MAFWR, MoHT, MTCIT)
  • International partners (ALECSO, SRMIST-India, Torrens Univ-Australia, AMET-India, Shiraz-Iran, academic institutions abroad)
  • Local industries, NGOs, and startups

We also mentor students and early-career researchers through workshops, internships, and research assistantships.

Our Core Research Areas

At AIRC, we focus on five strategic research areas where Artificial Intelligence can deliver the greatest impact for Oman and the wider region. These areas reflect national priorities, global trends, and our commitment to solving real-world challenges through innovation and collaboration.

  • AI for Education (BIMANIC, A2M, generative tools)
  • 🏥 AI in Healthcare (oral cancer, decision support)
  • 🌱 AI for Agriculture & Environment (Tree Trekker, pest detection)
  • 🌐 Responsible AI & Policy (UNESCO/ALECSO Chairs, ethical AI, workshops)
  • AI Systems & Robotics (robotic harvesting, smart sensors)

1. AI in Education

We develop intelligent systems to transform how students learn, teachers teach, and institutions make data-driven decisions.
Key Projects:

  • BIMANIC – Guiding Students to the right higher education path. generation and adaptive learning.
  • A2M Model – Predictive analytics for student performance and early intervention.
  • AI-based MCQ & Summary Generators – Empowering personalized, curriculum-aligned learning experiences.

2. AI in Healthcare

We apply deep learning, image analysis, and multimodal data integration to improve diagnostics, treatment planning, and healthcare delivery.

Key Projects:

  • AI-Powered Decision Support System for Oral Cancer Treatment – Integrating clinical, demographic, and image data to support oncologists.

Medical Imaging AI Models – Research in pathology, detection, and radiology.

3. AI for Agricultural & Environment

Our AI systems support sustainable agriculture and biodiversity by enabling early detection and precision monitoring.
Key Projects:

  • Red Palm Weevil Detection System – Early detection using machine learning and image analysis (in collaboration with MAFWR).
  • Tree Trekker Robot (MANIC) – Automated palm climber for efficient and safe harvesting.
  • Smart irrigation and environmental sensor networks (planned initiatives).

4. Responsible AI & Ethical Policy

We promote the development of inclusive, transparent, and culturally aware AI frameworks aligned with UNESCO and ALECSO values.

Focus Areas:

  • Bias mitigation in AI models
  • AI policy dialogues for sustainable development
  • Ongoing applications for ALECSO AI Chairs

5. AI Systems & Robotics

We design and prototype AI-driven robots and automation systems for field deployment, research, and education.
Key Projects:

  • MANIC Tree Trekker – Autonomous robot for harvesting date palms.
  • AI-powered sensors and vision systems for smart devices and field operations.

Patents Details

 An apparatus for automatic harvesting of fruits and their collection for processing, published  on 19/06/2020. –Indian Patent

A Prototype Device For Generation Of Electricity Using Wind Turbine, published on 10/07/2020. –Indian Patent

Development of CNN scheme for COVID 19 disease detection using chest radiograph, Patent number 2021104727, granted on 22/09/2021. –Australian Patent

In-House/Remote Patient Monitoring scheme for COVID-19 disease infected patient using internet of things through cloud environment, Patent number 202021105877, granted on 4/1/2022. –German Patent

Funded Projects

Education projects

  1. Artificial Intelligence-driven Gen- Alpha education guidance indicator to craft quality citizens in the Sultanate of Oman”, for the academic year 2021-2022 (two years duration) for 20,000/– (Twenty thousand) OMR – BFP/RGP/EHR/21/347 –Completed
  2. Maximizing the Benefits and Minimizing the Risks of Modern Technology in Education: A Study of the Impact of Generative AI Techniques on Student Cognitive Achievement in School and Higher Education , SRPP, 88100 OMR, 2023-24,(MoHERI/MTCIT/ SRPP/NU/2023) –Ongoing
  3. Intelligent Educational System for Autistic children using Augmented Reality and machine learning (TRC- FURAP project funding).-completed 2400 OMR

Agriculture projects

  1. An automated Robot for date fruit harvesting” for the academic year 2020-2021 for OMR 2960 – NUFRG20.9-Completed
  2. Development of an Artificial Intelligent (AI) based UAV (Unmanned Aerial Vehicle) system for agricultural applications in the Sultanate of Oman, to increase production while assuring safety and security for the farmer (TRC/BFP/RG/CALL 22)- 20000 OMR –Completed

Healthcare projects

  1. Optimal design of an automated intelligent framework for diagnosing and segmenting areas of Atropy, (CCE-RG-project funding). –completed 3000 OMR.
  2. Development of a Heuristic Algorithm based Tool to Extract and Evaluate Tumor Section from Brain MRI, (TRC- project funding). –completed 1300 OMR. FURAP/NU/18/001CALL6.5
  3. Development of a Heuristic Algorithm based Tool to Extract and Evaluate Tumor Section from Brain MRI, (TRC- project funding). –completed 1300 OMR. FURAP/NU/18/001CALL6.5
  4. Intelligent Knowledge Based Framework for accurate Diagnosis, Classification and Analysis of Pneumothorax – Lung Diseases (TRC- project funding). –completed-20000
  5. Brain tumor detection and classification using deep conventional neural networks via transfer learning algorithms for medical centers in Oman (TRC/BFP/GRG/CALL 22)-3000 OMR- completed.
  6. Automated SARS Corona Virus Detection from Cough Sound Pattern Samples Using Machine Learning, (NUSRG/22/CE/0003)-1000 OMR-completed

Maritime projects

  1. Intelligent fish farming system for sustainable aquaculture in small and medium fisheries in the Sultanate of Oman (TRC- project funding). –completed 2400 OMR
  2. Development of fishermen boat with artificial intelligence for sustainable fishing experience ensuring safety, security, navigation, and sharing information for Omani fishermen, for the academic year 2021-2022 for 20,000/–  OMR    – BFP/RGP/ICT/21/271— Completed

Consultancy and Joint International Projects

  1. Transforming Agricultural Practices in Oman: AI-powered solutions for early detection and treatment evaluation of Insect Infestations in Date and Coconut Trees” for the academic year 2024-25 –6000 OMR, Consultancy Project with MAFWR -NU/ MAFWR/RC/2024/004 –Ongoing
  2. Study on Health effects of Mobile phone towers near residential areas, for the academic year 2024-25 (8 months duration) for 3800/-OMR-  consultancy project from AlSiraj Holdings, NU/ ALSIRAJ/RC/2024/003 –Completed
  3. IoT and Hydroponics enabled smart green house in Controlled Environment Agriculture (CEA) for Fruits, Vegetables and Herbs, for the academic year 2024-25 (2 years duration) – 4000 OMR- International Joint research grant projects from SRM University, Chennai , India – Ongoing
  4. Development and Implementation of an AI-Powered Decision Support System for Multimodal Data Integration in Oral Cancer Treatment for the academic year 2024-25 (2 years duration) – 4500 OMR- International Joint research grant projects from SRM University, Chennai , India – Ongoing

News/Events

Two-Day International Conference on Advanced Technology 2024

The National University of Science and Technology, Oman, has hosted the first International Conference on...

Publications

Conference and Journal and Press Articles on AI (recent)
  • Suresh Manic, Nawf Al Shibli and Rahma Al Sulaimi ’SGO and Tsallis Entropy assisted segmentation of abnormal regions from brain MRI, Journal of Engineering Science and Technology, Special issue 9, pp.no.52-62, Sep 2018 (SCOPUS and WoS cited) .
  • Manic Kesavan Suresh, Imad Saud Al Naimi, Feras N. Hasoon and V. Rajinikanth. “Jaya Algorithm-Assisted Evaluation of Tooth Elements Using Digital Bitewing Radiography Images.” Book chapter-Computational Techniques for Dental Image Analysis. IGI Global, 2019. 107-128. Web. 10 Oct. 2018. doi:10.4018/978-1-5225-6243-6.ch005 (Hardcopy from 2019).
  • Suresh Manic K., Hasoon F.N., Shibli N.A., Satapathy S.C., Rajinikanth V. (Jan 1, 2019) An Approach to Examine Brain Tumor Based on Kapur’s Entropy and Chan–Vese Algorithm. In: Yang XS., Sherratt S., Dey N., Joshi A. (eds) Third International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, chapter no 81, vol 797. PP 901-909 Springer, Singapore (WOS, SCOPUS).
  • Rajinikanth V., Satapathy S.C., Dey N., Fernandes S.L., Manic K.S. (Jan 1,2019) Skin Melanoma Assessment Using Kapur’s Entropy and Level Set—A Study with Bat Algorithm. In: Satapathy S., Bhateja V., Das S. (eds) Smart Intelligent Computing and Applications. Smart Innovation, Systems and Technologies, vol 104.pp 193-202 Springer, Singapore (WOS, SCOPUS). Book series
  • Suresh Manic and Satish S Tanavade,”Heuristic Algorithm Assisted Controller Design for Nonlinear type Liquid Level Process” Journal of Computational and Theoretical Nanoscience. Vol 17, no 4, 2020May, pp1728-1732. (SCOPUS)
  • Amna Liaqat, Muhammad Attique Khan, Muhammad Sharif, Mamta Mittal, Tanzila Saba, K Suresh Manic* and Feras Nadhim Hasoon Al Attar, “Gastric Tract Infections Detection and Classification from Wireless Capsule Endoscopy using Computer Vision Techniques: A Review”, Current Medical Imaging (2020) 16: 1. https://doi.org/10.2174/1573405616666200425220513, Bentham Science Publisher, Print ISSN 1573-4056,Online ISSN 1875-6603. Science Citation Index, SCOPUS, WOS-IF 0.647 http://www.eurekaselect.com/181333/article, http://www.eurekaselect.com/610/journal/current-medical-imaging
  • Suresh Manic K, Roshima Biju, Warish Patel, Muhammad Attique Khan, N. Sri Madhava Raja, Uma Suresh, “Extraction and Evaluation of Corpus Callosum from 2D Brain MRI slice: A study with Cuckoo Search Algorithm”, Computational and Mathematical Methods in Medicine, vol. 2021, Article ID 5524637, 15 pages, 2021. https://doi.org/10.1155/2021/5524637 Hindawi Journal, SCOPUS-Q1 ranking, IF 2.238, cite score 3.5. https://doi.org/10.1155/2021/5524637 Aug,2021
  • Nandhini Abirami R , Durai Raj Vincent P M, Kathiravan Srinivasan, K. Suresh Manic and Chuan-Yu Chang, ‘Multimodal Medical Image Fusion of Positron Emission Tomography and Magnetic Resonance Imaging using Generative Adversarial Networks’ Journal- Behavioural Neurology, Volume 2022, Article ID 6878783, 1-12 pages. Hindawi publishers SCOPUS IF- 3.342, cite score 3.9 Q1 Ranking. https://doi.org/10.1155/2022/6878783
  • Rajinikanth, Fadeela Al Matrushi, Amira Al Housni and K.Suresh Manic,’ Solving the controller design problem for TITO system using Jaya Algorithm, 2017 IEEE International conference on computational intelligence and computing research (ICCIC), Coimbatore, India ,14-16 Dec 2017,pp.1-4 (Available in IEEE Explore from 8th November 2018) doi: 10.1109/ICCIC.2017.8524553. (SCOPUS)
  • Suresh Manic and Feras N.Hasoon, ‘A Study on Centralized / Decentralized PID controller tuning for MIMO Systems with Heuristic Algorithm’ 2nd Sohar University International research conference SURC 2018, Feb 14, 2018, Sohar, Oman.
  • Suresh Manic, Feras N.Hasoon, Fadeela Al Matrushi, Imad Al Naimi and Ayman Al Khazraji, ‘’ Design A Heuristic controller for Nonlinear type liquid level Industrial process” The 3rd Smart Cities Symposium (SCS 2020), June 2021, pp 482-486.DOI: 10.1049/icp.2021.0880. ISBN:978-83953-522-2- IET publications -SCOPUS 21-23 September 2020
  • Suresh Manic, Satish Tanavade, Mohammed Al Balushi, Saleh Al Araimi and Ayman Al Khazraji, “Development of Heuristic Algorithm based tool to extract and evaluate tumor section from Brain MRI and CT image” The 3rd Smart Cities Symposium (SCS 2020), June 2021, pp 375-379.DOI:  10.1049/icp.2021.0878. ISBN:978-83953-522-2- IET publications –SCOPUS 21-23 September 2020.
  • M. Kesavan, I. Al Naimi, F. Al Attar, V. Rajinikanth and S. Kadry, “Res-UNet Supported Segmentation and Evaluation of COVID19 Lesion in Lung CT,” 2021 International Conference on System, Computation, Automation and Networking (ICSCAN), 2021, pp. 882-885, doi: 10.1109/ICSCAN53069.2021.9526434. . IEEE Publisher, Added to IEEE Explore on 6th Sep 2021. https://ieeexplore.ieee.org/document/9526434
  • M. Kesavan, K. S. Al Mamari and N. S. M. Raja, “Solar powered robot for agricultural applications,” 2021 International Conference on System, Computation, Automation and Networking (ICSCAN), 2021, pp. 865-869, doi: 10.1109/ICSCAN53069.2021.9526436. IEEE Publisher, Added to IEEE Explore on 6th Sep 2021. https://ieeexplore.ieee.org/document/9526436
  • Prabagar, N. S. Madhavaraja, S. Arunmozhi and K. S. Manic, “Artificial Vision Based Smart Urban Parking System,” 2021 International Conference on System, Computation, Automation and Networking (ICSCAN), 2021, pp. 927-930, doi: 10.1109/ICSCAN53069.2021.9526383. . IEEE Publisher, Added to IEEE Explore on 6th Sep 2021. https://ieeexplore.ieee.org/document/9526383
  • T. S., D. J. R. R, N. S. Madhavaraja, S. Arunmozhi and K. S. Manic, “Healthcare Framework for Risk Analysis of Hypertension,” 2021 International Conference on System, Computation, Automation and Networking (ICSCAN), 2021, pp. 931-934, doi: 10.1109/ICSCAN53069.2021.9526508. IEEE Publisher, Added to IEEE Explore on 6th Sep 2021. https://ieeexplore.ieee.org/document/9526508
  • Noof Al Ofi , Athar Azeez, Feras N. Hasoon, Suresh Manic K,Design and Implementation of an Energy Meter System for Optimized Cost using Internet of Things (IOT) Technology, Applied computing journal, 2021,DOI: https://doi.org/10.52098/acj.202118
  • Dhandapani R., Mitiche I., McMeekin S., Mallela V.S., Morison G., Enhanced partial discharge signal denoising using dispersion entropy optimized variational mode decomposition, Entropy, 2021,DOI: 10.3390/e23121567
  • Al Tobi M., Bevan G., Wallace P., Harrison D., Okedu K.E., Faults diagnosis of a centrifugal pump using multilayer perceptron genetic algorithm back propagation and support vector machine with discrete wavelet transform-based feature extraction, Computational Intelligence, 2020,DOI: 10.1111/coin.12390
  • Krishna Priya R., Chacko S., Improved particle swarm optimized deep convolutional neural network with super-pixel clustering for multiple sclerosis lesion segmentation in brain MRI imaging, International Journal for Numerical Methods in Biomedical Engineering, 2021,DOI: 10.1002/cnm.3506
  • Aravind N., Nagajothi S., Elavenil S., Machine learning model for predicting the crack detection and pattern recognition of geopolymer concrete beams, Construction and Building Materials, 2021,DOI:10.1016/j.conbuildmat.2021.123785
  • Alaraimi S., Okedu K.E., Tianfield H., Holden R., Uthmani O., Transfer learning networks with skip connections for classification of brain tumors, International Journal of Imaging Systems and Technology, 2021,DOI: 10.1002/ima.22546
  • Al Tobi M., Bevan G., Wallace P., Harrison D., Okedu K.E., Using MLP-GABP and SVM with wavelet packet transform-based feature extraction for fault diagnosis of a centrifugal pump, Energy Science and Engineering,2021, DOI: 10.1002/ese3.933
  • Rajeev S.K., Rajasekaran M.P., Krishna Priya R., Al Bimani A., A Review on Magnetic Resonance Spectroscopy for Clinical Diagnosis of Brain Tumour using Deep Learning, Proceedings – 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021, DOI: 10.1109/ICAC3N53548.2021.9725561
  • A V N., Pallikonda Rajasekaran M., Priya R.K., Al Bimani A., Artificial Intelligence based Neurodegenerative Disease Diagnosis and Research Analysis using Functional MRI (FMRI): A Review, Proceedings – 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021,DOI: 10.1109/ICAC3N53548.2021.9725691
  • Al-Gharibi R.S., IoT-Based Hydroponic System, 2021 International Conference on System, Computation, Automation and Networking, ICSCAN 2021,DOI: 10.1109/ICSCAN53069.2021.9526391
  • Al Ghadani A.K.A., Mateen W., Ramaswamy R.G., Tensor-based CUDA optimization for ANN inferencing using parallel acceleration on embedded GPU, IFIP Advances in Information and Communication Technology,2020, DOI: 10.1007/978-3-030-49161-1_25
  • Asif M.A., Al Wadhahi F., Rehman M.H., Kalban I.A., Achuthan G., Intelligent educational system for autistic children using augmented reality and machine learning, Lecture Notes on Data Engineering and Communications Technologies, 2020, 10.1007/978-3-030-38040-3_59
  • Salim Al Shukaili, Varghese Manappallil Joy, Saravanan. A.M, Lakkimsetty Nageswara Rao, Geetha Devi, Sudhir C V and Ramachandran K P. (2020). , Enhanced Modelling and Optimization of Heat Exchanger trains with Real-time Data from Oil and Gas Industry using Artificial Intelligence, International Gas Union Research Conference 2020(IGRC 2020) hosted by Oman LNG on February 24-26, Oman Convention & Exhibition Centre.
  • Varghese, M. J., Dutta, S. and Feroz, S. (2020) , TiO2/photo-Fenton process for seawater pretreatment: Modeling and optimization using response surface methodology (RSM) and artificial neural networks (ANN) coupled genetic algorithm (GA)’, Journal of Indian Chemical Society, 97(10), pp. 9–18. (International Conference on Water, Energy, and Environmental Sustainability (WEES2020), NIT Durgapur, India.
  • Amran Al Aamri, Suresh Manic kesavan “Develop a forecasting device for energy audit using Artificial Neural Networks” 2022, first international Symposium on Applications of AI, held on 2nd November 2022
  • Roshima Biju, Warish Patel, Suresh Manic K, V.Rajinikanth “Framework for Classification of Chest X-rays into Normal/COVID19 using Brownian-Mayfly-Algorithm Selected Hybrid Features” Mathematical Problems in Engineering, Hindawi publisher, vol. 2022, Article  ID 6475808, 13 pages, 2022. https://doi.org/10.1155/2022/6475808.  IF 1.430, cite score 1.8, Q1 Q3 ranking, Open Access. ISSN (print): 1563-5147    SCOPUS/WOS
  • Geetha Achuthan, Seifedine Kadry K. Suresh manic and Maytham N.Meqdad “Automatic Classification of Histology Images into Normal/Cancer Class with Pre-Trained CNN” Journal of Physics: Conference Series, Volume 2318, 8th International Virtual Conference on Biosignals, Images, and Instrumentation (ICBSII 2022) 16/03/2022 – 18/03/2022 Online. https://doi.org/10.1088/1742-6596/2318/1/012046 Geetha Achuthan et al 2022  Phys.: Conf. Ser. 2318 012046. PP 1-8.  Q4
  • Suresh manic, Seifedine Kadry, Roshima Biju and Gangadharam Balaji   “Detection of Pneumonia in Chest X-Ray with Bat-Algorithm Selected Deep and Handcrafted Features”  Journal of Physics: Conference Series, Volume 2318, 8th International Virtual Conference on Biosignals, Images, and Instrumentation (ICBSII 2022) 16/03/2022 – 18/03/2022 Online. https://doi.org/10.1088/1742-6596/2318/1/012047, K. Suresh Manic et al2022 J. Phys.: Conf. Ser. 2318 012047. Pp 1-9 Q4
  • Satish Suresh Tanavade, Seifedine Kadry, K. Suresh manic and Gangadharam Balaji “Extraction and Assessment of COVID19 Infection in Lung CT Images Using VGG-UNet”   Journal of Physics: Conference Series, Volume 2318, 8th International Virtual Conference on Biosignals, Images, and Instrumentation (ICBSII 2022) 16/03/2022 – 18/03/2022 Online. https://doi.org/10.1088/1742-6596/2318/1/012048. Satish Suresh Tanavade et al2022  Phys.: Conf. Ser. 2318 012048.—1-7 Q4
  • Feras Nadhim Hasoon Al Attar, Seifedine Kadry, K. Suresh manic and Maytham N.Meqdad “Automatic Detection of Ischemic-Stroke-Lesion with CNN Segmentation: A Study”   Journal of Physics: Conference Series, Volume 2318, 8th International Virtual Conference on Biosignals, Images, and Instrumentation (ICBSII 2022) 16/03/2022 – 18/03/2022 Online. FerasNadhimHasoon Al Attar et al2022  Phys.: Conf. Ser. 2318 012049. https://doi.org/10.1088/1742-6596/2318/1/012049. PP1-8 Q4
  • Suresh Manic, V. Rajinikanth, Ali Al Bimani, David Taniar, and Seifedine Kadry  “Framework to detect Schizophrenia in brain MRI slices with Mayfly-Algorithm selected Deep and Handcrafted features”, Sensors 2023,23,280. Pp 1-16, IF 3.847 and 5 year IF 4.050, MDPI Publisher, https://doi.org/10.3390/s23010280. SCOPUS/WOS, Q1 ranking.
  • Imad Saud Al Naimi, Syed Alwee Aljunid bin Syed Junid, Muhammad lmran bin Ahmad, K.Suresh Manic “Automatic Finding of Brain-Tumour Group using CNN Segmentation and Moth-Flame-Algorithm Selected Deep and Handcrafted Features, Computers, Materials & Continua, 79(2), 2585-2608. https://doi.org/10.32604/cmc.2024.046461, 15 may 2024, Trans Science press, Scopus
  • Dhandapani, I. Mitiche, S. McMeekin and G. Morison, A Novel Bearing Faults Detection Method Using Generalized Gaussian Distribution Refined Composite Multiscale Dispersion Entropy, IEEE Transactions on Instrumentation and Measurement, vol 71, pp1-12, 2022

  • Dhandapani and S. Al-Ghafri, Implementation of facial mask detection and verification of vaccination certificate using Jetson Xavier kit, Earth Environ. Sci., vol 1055, 2022

  • Al Mamari, A.H.S., Al Ghafri, R.S.H.H., Aravind, N. et al., Experimental study and development of machine learning model using random forest classifier on shear strength prediction of RC beam with externally bonded GFRP composites., Asian J Civ Eng, vol 2522, 2022.
  • Dhandapani, I. Mitiche, S. McMeekin and G. Morison, Bearing Faults Diagnosis and Classification Using Generalized Gaussian Distribution Multiscale Dispersion Entropy Features, 30th European Signal Processing Conference (EUSIPCO),2022, pp 1452-1456, Serbia, IEEE Xplore.

  • AL Tobi, M.A.S., Ramachandran, K.P., AL-Araimi, S., …Rajakannu, A., Achuthan, C., Machinery Faults Diagnosis using Support Vector Machine (SVM) and Naïve Bayes classifiers, ,2022, 70(12), pp. 26–34
  • Al Tobi, M.A.S., Ramachandran, K.P., Al-Araimi, S., …Rajakannu, A., Achuthan, G.,Machinery Fault Diagnosis using Continuous Wavelet Transform and Artificial Intelligence based classification ACM International Conference Proceeding Series, 2022, pp. 51–59
  • Al Tobi, M., Bevan, G., Wallace, P., Harrison, D., Okedu, K.E.,Using MLP-GABP and SVM with wavelet packet transform-based feature extraction for fault diagnosis of a centrifugal pump,Energy Science and Engineering, 2022, 10(6), pp. 1826–1839
  • Inam Ullah, Deepak Adhikari, Farhad Ali, Ahmad Ali, Habib Khan, Amin Sharafian, Suresh Manic Kesavan and Xiaoshan Bai, Revolutionizing E-commerce with consumer driven energy efficient WSNs: A multi-characteristics approach. IEEE Transaction on Consumer Electronics, Q1. IF 4.3, https://ieeexplore.ieee.org/document/10552345 DOI: 1109/TCE.2024.3411606, print ISSN  00983063, online 1558-4127, vol 70 issue 4, pp 6871-6682
  • Mohammad Shabaz, Muhammad Attique Khan, Ameer Hamza, Seifeine Kadry, Saddaf Rubab, Muhammad Abdullah Bilal, Muhammad Naeem Akbar and Suresh Manic Kesavan,” Multiclass Skin Lesion Classification using Deep Learning Networks Optimal Information Fusion”, Discover applied sciences, 6, 300 (2024), 30 May 2024, https://doi.org/10.1007/s42452-024-05998-9. WOS, SCOPUS, IF 2.6, Springer nature publisher-PP 1-13
  • Muhammad Attique Khan , Ambreen Shah; Ahmed Alzahrani; Nasser Alalwan; Ameer Hamza; Suresh Manic; Yudong Zhang; Robertas Damasevicius, ‘FuzzyShallow: A Framework of Deep Shallow Neural Networks and Modified Tree Growth Optimization for Agriculture Land Cover and Fruit Disease Recognition from Remote Sensing and Digital Imaging”, Measurement Journal, Elsevier, 237 (2024) 115224, ISSN 0263-2241, https://doi.org/10.1016/j.measurement.2024.115224. 30th September 2024 , pp 1-18, IF 5.6, WOS, SCOPUS, Q1 https://wos-journal.info/journalid/13173
  • Dhanalekshmi Unnikrishnan Meenakshi, Suresh Manic Kesavan, ArulPrakash Francis and Shah Alam Khan, ‘Quantum computing concepts and approaches in drug discovery development and delivery’ Drug delivery system using Quantum computing, Wiley publishing book Chapter 1, July 2024.1-26 pages, Scopus and WoS  https://doi.org/10.1002/9781394159338.ch1

  • Suresh Manic*, Ali Al Bimani, NizamudinA.A, Amal A.A and G.Balaji “Optimizing Academic Journey for High Schoolers in Oman: A Machine Learning-Enabled AI Model” International Conference on Machine Learning and Data Engineering (ICMLDE 2023), 23-24 November 2023, UPES, Dehradun, India, Procedia Computer Science, Elsevier. 235(2024). 2716-2729, IF 4.5 June 1,2024 https://doi.org/10.1016/j.procs.2024.04.256 https://authors.elsevier.com/sd/article/S1877050924009323
  • Saleh, Imad AL Naimi, K.Suresh Manic, Nasreya Al Hinai, Samiya Al Sukaili “Enhancing Brain Tumor Assessment: A Comprehensive Approach using Computerized Diagnostic Tool and Advanced MRI Techniques” International Conference on Machine Learning and Data Engineering (ICMLDE 2023), 23-24 November 2023, UPES, Dehradun, India, Procedia Computer Science, Elsevier 235(2024). 3350-3368, June 1,2024 –https://doi.org/10.1016/j.procs.2024.04.316
  • Suresh Manic, K., Al-Bemani, A.S., Nizamudin, A.A., Balaji, G., Amal, A.A. (2025). BIMANIC: AI-Driven Personalized Education Guidance for Higher Education in Oman. In: Pon Selvan, C., Sehgal, N., Ruhela, S., Rizvi, N.U. (eds) International Conference on Innovation, Sustainability, and Applied Sciences. ICISAS 2023. Signals and Communication Technology. Springer, Cham. PP 345-353, https://doi.org/10.1007/978-3-031-68952-9_46
  • Suresh Manic, K., Al-Bemani, A.S., Al Naimi, I., Najeeb, A., Yaseen, M. (2025). Revolutionizing Date Palm Harvesting: A Novel Automated Tree Climber Robot for Agricultural Efficiency. In: Pon Selvan, C., Sehgal, N., Ruhela, S., Rizvi, N.U. (eds) International Conference on Innovation, Sustainability, and Applied Sciences. ICISAS 2023. Signals and Communication Technology. Springer, Cham.PP 23-32, https://doi.org/10.1007/978-3-031-68952-9_4