Dr. S. Iwin Thanakumar Joseph

Dr. S. Iwin Thanakumar Joseph is an accomplished academician with over 16 years and 8 months of teaching experience in the field of Computer Science and Engineering as of February 2, 2025. Earlier serving as an Associate Professor in the Department of Integrated Research and Discovery at Koneru Lakshmaiah Education Foundation (KLEF), Andhra Pradesh, he has held progressive academic positions at KLEF since December 2021. Prior to this, he served for over 13 years as Assistant Professor at Karunya Institute of Technology and Sciences, Tamil Nadu.

His academic expertise spans a broad range of contemporary and foundational subjects, including Cloud-based AI/ML, Full Stack Application Development, Machine Learning, Artificial Intelligence, Internet of Things, Digital Image Processing, Software Engineering, and Microprocessor Systems.

In addition to teaching, he has contributed significantly to academic program coordination, curriculum development aligned with industry standards, and large-scale student mentoring (handling up to 600 students). As a Course Coordinator, he led curriculum revisions, introduced hands-on tools and software, collaborated with industry professionals for seminars/webinars, coordinated uniform delivery across teaching teams, and integrated hackathons as part of the evaluation process.

He has also undertaken industrial upskilling, including a three-month industrial certification in Automation Testing with Selenium from EPAM Pvt. Ltd., Hyderabad, and Full Stack Java Development training by ExcelR Pvt. Ltd., Hyderabad. Actively involved in student skill development for campus placements, he trains and mentors students to successfully complete industry-recognized certifications.

He brings together a rare combination of academic leadership, technical proficiency, and industry collaboration, contributing significantly to enhancing teaching outcomes and preparing students for real-world challenges in technology and engineering.

International Journal Publications:

SCI Indexed

• Iwin Thanakumar Joseph, S., Shanthini Pandiaraj, N., Sarveshwaran, V., & Mythily, M. (2024). Ship Detection and Classification Using Hybrid Optimization Enabled Deep Learning Approach by Remote Sensing Images. Cybernetics and Systems, 55(7), 1441-1468.
• Sarveshwaran, V., Pandiaraj, S., Bindu, G., Ganesan, V., & Swamidason, I. T. J.(2024). Binarized Spiking Neural Network with blockchain based intrusion detection framework for enhancing privacy and security in cloud computing environment. Applied Soft Computing, 154, 111218.
• Jeyabharathi, J., Velliangiri, S., Joseph, S. I. T.,& Devadass, C. S. C. (2023). Cancer Prediction Using Feature Fusion and Taylor-TSA-Based GANwith Gene Expression Data. Int. J. Pattern Recognit. Artif. Intell., 37(14), 2357008-1.
• Mythily, M., David, B., Venkatesan, R., & Joseph, I. T.(2023). Model transformationand code generation using a secure business process model. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-13.
• Mythily, M., Saha, S., Selvam, S., & Swamidason, I. T. J.(2022). BPM supported model generation by contemplating key elements of information security. Automated Software Engineering, 29(1), 1-23.(IF: 1.59).
• Ramaiyar Sundaram, M., Swamidason, I. T. J.,& Sarveshwaran, V. (2023). Parkinson's disease detection using sea lion shuffled shepherd optimization assisted deep maxout network. Concurrency and Computation: Practice and Experience, 35(4), e7537.
• Doraiswami, P. R., Sarveshwaran, V., Swamidason, I. T. J., & Sorna, S. C. D. (2022). Jaya?tunicate swarm algorithm based generative adversarial network for COVID?19 prediction with chest computed tomography images. Concurrency and Computation: Practice and Experience, 34(23), e7211.
• Velliangiri, S., Pandiaraj, S. Iwin Thanakumar Joseph, & Muthubalaji, S. (2022). Multiclass recognition of AD neurological diseases using a bag of deep reduced features coupled with gradient descent optimized twin support vector machine classifier for early diagnosis. Concurrency and Computation: Practice and Experience, 34(21), e7099.
• Premalatha, J., Swamidason, I. T. J., Harshavardhanan, P., Anandaraj, S. P., & Jeyakrishnan, V. (2022). Analytical reviewon secure communication protocols for 5G and IoT networks. International Journal of Ad Hoc and Ubiquitous Computing, 40(1-3), 50-66.
• Velswamy, K., Velswamy, R., Swamidason, I. T. J., & Chinnaiyan, S. (2021). Classification model for heart disease prediction with feature selection through modified bee algorithm. Soft Computing, 1-9.(IF: 3.64).
• Joseph, S. I. T.,Sasikala, J., Juliet, D. S., &Velliangiri, S. (2021). Hybrid spatio-frequency domain global thresholding filter (HSFGTF) model for SAR image enhancement. Pattern Recognition Letters, 146, 8-14.(IF: 3.756).
• Swamidason, I. T. J., Sasikala, J., & Juliet, D. S. (2019). Optimized vessel detection in marine environment using hybrid adaptive cuckoo search algorithm. Computers & Electrical Engineering, 78, 482-492.(IF: 3.818).
• Joseph, S.,Sasikala, J., & Sujitha Juliet, D. (2019). A novel vessel detection and classification algorithm using adeep learning neural network model with morphological processing (M-DLNN). Soft Computing, 23(8), 2693-2700.(IF: 3.64).

Web of Science Indexed

• Swamidason, I. T. J.,Tatiparthi, S., Arul Xavier, V. M., & Devadass, C. S. C. (2020). Exploration of diverse intelligent approaches in speech recognition systems. International Journal of Speech Technology, 1-10.
• Swamidason, I. T. J.,Sasikala, J. (2019). Ship detection and recognition for offshore and inshore applications: a survey. International Journal of Intelligent Unmanned Systems.

Scopus Indexed

• Gopi, Arepalli, Sudha L R, Iwin Thanakumar, Joseph (2024). Novel KNN with DifferentiableAugmentation for Feature-Based Detection of Cassava Leaf Disease and Mitigation of Overfitting: An Innovative Memetic Algorithm. Data and Metadata. Vol 3.
• Nennuri, Rajasekhar, Iwin Thanakumar Joseph S, Ismail B Mohammed, Prasad, L V Narasimha (2024). A Hybrid Probabilistic Graph Based Community Clustering Model for Large Social Networking Link Prediction Data. International Journal of Computational and Experimental Science and Engineering,Vol 10, Issue 4.
• Velliangiri, S., Joseph, I. T., Pandiaraj, S., Jancy, P. L., & Madhubabu, C. (2023). An enhanced security framework for IoT environment using Jaya optimisation-based genetic algorithm. International Journal of Internet Technology and Secured Transactions, 13(1), 11-25.
• Swamidason, I. T. J.,Pandiyarajan, S., Velswamy, K., & Jancy, P. L. (2022). Futuristic IoT based Smart Precision Agriculture: Brief Analysis. Journal of Mobile Multimedia, 18(3), 935-956.
• Joseph,S. I. T., Paulin, P. R. K., George, J. A., Joy, J., & Smily, J. E. (2021). IoT-enabled traffic sign recognition for safe driving. International Journal of Computer Aided Engineering and Technology, 14(3), 358-372.
• Periyasami, K., Viswanathan Mariammal, A.X., Joseph, I. T., & Sarveshwaran, V. (2020). Combinatorial double auction based meta-scheduler for medical image analysis application in grid environment. Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science), 13(5), 999-1007.
• Christy, J. J. J., Joseph, S. I. T., Sudhakar, S., & Xavier, V. A. (2020). Emotion detection in text and acoustic based applications. Journal of Green Engineering, 10, 3006-3020.
  Joseph, S. I. T., Velliangiri, S., & Chandra, C. S. (2020). Investigation of Deep Learning Methodologies in Intelligent Green Transportation System. Journal of Green Engineering, 10, 931-950.
• Mythily, M., Nambiar, R., Prabhavathy, K., & Joseph, I. T. A Design Pattern Structure Specification to Extract Statistical Report.
• Karunakaran, V., Joseph, S. I., Teja, R., Suganthi, M., & Rajasekar, V. (2019). A wrapper based feature selection approach using bee’s algorithm for extreme rainfall prediction via weather pattern recognition through svm classifier. International Journal of Civil Engineering and Technology (IJCIET), 10(1).

Google Scholar and Others

• Published a paper titled, “Exploration of IOT based Intelligent Traffic Management System” in TEST Engineering and Management, Vol 82, pp 4651 –4658, January-February 2020.
• Published a paper titled, “Survey of Data mining algorithms for Intelligent Computing System” in Journal of Trends in Computer Science and Smart Technology, September 2019.
• published a paper titled, “Personal Health Care and Monitoring System utilizing cloud Security” in the International Journal of Pure and Applied Mathematics, Vol 119, No. 16, 2018, ISSN :1314-3395.

International Conference Publications:

Overseas Presentation

• Presented a paper titled, “Investigation of Human Activity Recognition using Deep Learning” in the International Conference on Industry Sciences and Computer Science Innovation (iSCSI) 2022 at Polytechnic Institute of Management and Technology (ISLA) held atVila Nova de Gaia, Portugal.
• Presented a paper titled, “Investigation of In-home Augmented Reality assisted Rehabilitation Therapies for Disabled Patient” in 8thInternational Conference on ICT for Smart Society (ICISS) 2021 held at Bandung Institute of Technology, Indonesia.
• Presented a paper titled, “Virtual Reality –a paradigm shift in Education Pedagogy” in 7thIEEE International Conference on Information Technology Trends (ITT) 2020 held at Higher Colleges of Technology, Abudhabi, UAE.
• Presented a paper titled, “Investigation of Deep learning schemes in medical applications” in International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) 2019 held at Amity University, Dubai, UAE.
• Presented a paper titled “Smart Vessel detection using deep convolutional neural network” in Fifth HCT Information Technology Trends (ITT 2018), Dubai, UAE, Nov 28-29, 2018.

National Presentation (within India)

• Presented a paper titled, “An Efficient Intrusion Detection Model based on Recurrent Neural Network” in the IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE 2022) held at Ballari Institute of Technology and Management, Ballari, India.
• Presented a paper titled, “ML & DL Methodologies in Heart Disease Prediction: Brief Analysis” in 8thInternational Conference on Advanced Computing and Communication Systems (ICACCS) 2022 held at Sri Eshwar College of Engineering, Coimbatore, India on 25thand 26thMarch 2022.
• Presented a paper titled, “Object based Video retrieval with multiple features matching approach” in 8thInternational Conference on Advanced Computing and Communication Systems (ICACCS) 2022 held at Sri Eshwar College of Engineering, Coimbatore, India on 25thand 26thMarch 2022.
• Presented a paper titled, “Simulation of Pick and Place Robotic Arm using coppeliasim” in 8thInternational Conference on Advanced Computing and Communication Systems (ICACCS) 2022 held at Sri Eshwar College of Engineering, Coimbatore, India on 25thand 26thMarch 2022.
• Presented a paper titled, “Investigation of Deep Learning methodologies in satellite image based ship detection” in International Conference on Sustainable computing and Data Communication systems (ICSCDS 2022) held at Shree Venkateshwara Hi-Tech Engineering College, Erode, India on 7thto 9thApril 2022.
• Presented a paper titled, “Swarm Robotics: a Review” in International Conference on Sustainable computing and Data Communication systems (ICSCDS 2022) held at Shree Venkateshwara Hi-Tech Engineering College, Erode, India on 7thto 9thApril 2022.
• Presented a paper titled, “Convolutional Neural Network based leaf disease detection” in 4thInternational Conference on smart Systems and Inventive Technology, ICSSIT 2022 held at Francis Xavier Engineering College, Tirunelveli on 20thto 22ndJanuary 2022.
• Presented a paper titled, “Investigation of Smart Methodologies in Lyme Disease Detection” in 11th International Conference on Computer Communication and Informatics 2021held at Sri Sakthi Institute of Engineering and Technology, Coimbatore, India on 27th and 29th January 2021.
• Presented a paper titled, “Investigation of Intelligent Approaches in Micro Aneurysms Detection” in 11th International Conference on Computer Communication and Informatics 2021held at Sri Sakthi Institute of Engineering and Technology, Coimbatore, India on 27th and 29th January 2021.
• Presented a paper titled, “Exploring a Filter and Wrapper Feature Selection Techniques in Machine Learning” in 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC) 2020 held at RVS Technical Campus, Coimbatore, India on 19th and 20th November 2020.
• Presented a paper titled, “Review on Face Recognition using Deep Learning Techniques and Research Challenges” in 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC) 2020 held at RVS Technical Campus, Coimbatore, India on 19th and 20th November 2020.
• Presented a paper titled, “Review of Dimensionality Reduction Techniques for Efficient Computation” in 2nd International Conference on Recent Trends in Advanced Computing (ICRTAC-DTI 2019) held at Vellore Institute of Technology, Chennai, India on 11th and 12th November 2019.
• Presented a paper titled, “Li-Fi based Blind Indoor Navigation System” in 5th International Conference on Advanced Computing and Communication Systems (ICACCS) 2019 held at Sri Eshwar College of Engineering, Coimbatore, India on March 2019.
• Presented a paper titled, “Review of Blockchain based IoT Application and its Security Issues” in 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT) 2019 held at Vimal Jyothi Engineering College, Kerala, India on 5th and 6th July 2019.

Book Chapter Publications

• Published a book chapter titled “Detection of Ship from Satellite Images using Deep Convolutional Neural Networks with Improved Median Filter” in Artificial Intelligence Techniques for Satellite Image Analysis, Springer. (Scopus Indexed)
• Chapter titled, “IoT based Ensemble method on PCG signal classification to predict heart diseases” accepted for publication in Secure Communication for 5G and IoT Networks, Springer. (Scopus Indexed)