Ganesh, M., Perumaal, S. S., & Sankar, S. G. (2024). Automated license plate authentication framework using multi-view vehicle images. Journal of Intelligent & Fuzzy Systems, 1–27. https://doi.org/10.3233/jifs-230607

Raghav, G., Nagarajan, K., Palaninatharaja, M., Karthic, M., Kumar, R. A., & Ganesh, M. (2023). Reuse of used paper egg carton boxes as a source to produce hybrid AgNPs- carboxyl nanocellulose through bio-synthesis and its application in active food packaging. International Journal of Biological Macromolecules, 249, 126119. https://doi.org/10.1016/j.ijbiomac.2023.126119

Devarajan, M., Parthasarathi, S., & Ganesh, M. (2023). Low Cost Digital Trainer Experimentation Platform –A Case study. Journal of Engineering Education/Journal of Engineering Education Transformations/Journal of Engineering Education Transformation, 36(S2), 500–503. https://doi.org/10.16920/jeet/2023/v36is2/23076

Ganesh, M. A., Perumaal, S. S., Preethi, S. P., & Bhavdharani, S. D. (2023). Real time two-wheeler recognition for Surveillance. Journal of Physics Conference Series, 2601(1), 012036. https://doi.org/10.1088/1742-6596/2601/1/012036

Devaprasad, S., Fusic, S. J., Deepihashini, K., Subramanian, S. H., Gopi, M., Haritha, M., Ilamthendral, R., & Ganesh, M. A. (2024). Ceiling stack robot for logistic application. AIP Conference Proceedings, 3087, 020021. https://doi.org/10.1063/5.0194607

Parthasarathi, S., Ganesh, M. A., Manoj, S., & Harikrishna, E. (2024). Integrated State of charge and state of health method for operating range prediction in electric vehicles. In Lecture notes in electrical engineering (pp. 13–25). https://doi.org/10.1007/978-981-97-6714-4_2

Vigneshwaran, K., Sivam, V. R. J., & Ganesh, M. A. (2021). Automated cooperative robot for screwing application. In Advances in intelligent systems and computing (pp. 547–564). https://doi.org/10.1007/978-981-33-6984-9_44

Yogesh, S., Prasanna, B., Parthasarathi, S., & Ganesh, M. A. (2021). Open MV-Micro Python based DIY low cost service robot in quarantine facility of COVID-19 patients. In Advances in intelligent systems and computing (pp. 519–531). https://doi.org/10.1007/978-981-33-6981-8_42

Sadhasivam, P., S, R., M, R., & Dutta, P. K. (2025). Offline based on-field fruit ripeness detection system. IET Conference Proceedings., 2024(37), 125–129. https://doi.org/10.1049/icp.2025.0832

Devarajan, M. M., Kumaragurparan, G., & Muruganandham, R. (2024). Experimental investigation of polymeric straight fin heat sink for low power LED. Deleted Journal, 245(1). https://doi.org/10.1007/s10751-024-02096-5

Devarajan, M. M., & Kumaragurparan, G. (2024). Evaluation of thermal performance and vibration effects on automotive headlights for selection of heat sink geometry. Journal of Thermal Analysis and Calorimetry, 149(11), 5659–5671. https://doi.org/10.1007/s10973-024-13194-5

Devarajan, M., Kumaraguruparan, G., Nagarajan, K., & Vignesh, C. (2023). Production of hybrid AgNPs - TEMPO-mediated oxidation cellulose composite from jackfruit peduncle agro-waste and its thermal management application in electronic devices. International Journal of Biological Macromolecules, 254, 127848. https://doi.org/10.1016/j.ijbiomac.2023.127848

Kumar, S. S., Kumaraguruparan, G., Rajeshwari, S. R., & Devarajan, M. M. (2024). Design and development of linear compressor for miniature vapor compression refrigeration system. In Lecture notes in mechanical engineering (pp. 329–339). https://doi.org/10.1007/978-981-99-5990-7_29

Vignesh, C., Chockalingam, K., Sherif, S. U., & Nagarajan, K. (2024). Predicting and optimizing the wear behavior of centrifugal cast β-TCP/ Mg–2Zn–1Mn alloys: A hybrid artificial neural network—Grey relational analysis approach. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. https://doi.org/10.1177/09544089241300003

Vignesh, C., Chockalingam, K., Sherif, S. U., & Nagarajan, K. (2024b). Predicting and optimizing the wear behavior of centrifugal cast β-TCP/ Mg–2Zn–1Mn alloys: A hybrid artificial neural network—Grey relational analysis approach. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. https://doi.org/10.1177/09544089241300003

Karthic, M., Chockalingam, K., Vignesh, C., & Nagarajan, K. J. (2024). Enhancement of mechanical and biological properties of PEEK/GO/HA composite scaffolds fabricated through 3D printing and sintered process for bone tissue engineering. Polymer-Plastics Technology and Materials, 64(1), 46–62. https://doi.org/10.1080/25740881.2024.2386286

Selvan, M. T., Ramesh, M., Sahayaraj, A. F., Prabu, H. J., & Nagarajan, K. (2024). Extraction and characterization of novel fibers from Tecoma stans Linn bark for use as reinforcement in polymer composites. International Journal of Biological Macromolecules, 270, 132492. https://doi.org/10.1016/j.ijbiomac.2024.132492

R, N. a. K., R, R. G., J, N. K., Rengarajan, S., & R, M. (2024). The influence of tool shoulder size and plate position on the characteristics of friction stir welded different aluminum alloys. Journal of the Chinese Institute of Engineers, 47(5), 589–595. https://doi.org/10.1080/02533839.2024.2346500

Balasubramani, V., Nagarajan, K., Karthic, M., & Pandiyarajan, R. (2024). Extraction of lignocellulosic fiber and cellulose microfibrils from agro waste-palmyra fruit peduncle: Water retting, chlorine-free chemical treatments, physio-chemical, morphological, and thermal characterization. International Journal of Biological Macromolecules, 259, 129273. https://doi.org/10.1016/j.ijbiomac.2024.129273

Sahayaraj, A. F., Selvan, M. T., Ramesh, M., Maniraj, J., Jenish, I., & Nagarajan, K. J. (2024). Extraction, purification, and characterization of novel plant fiber from Tabernaemontana divaricate stem to use as reinforcement in polymer composites. Biomass Conversion and Biorefinery, 15(4), 6207–6221. https://doi.org/10.1007/s13399-024-05352-4

Rahim, S. M. S. A., Ganesan, K., & Kundiladi, M. S. (2024). Adaptive meta-heuristic framework for real-time dynamic obstacle avoidance in redundant robot manipulators. Annals of Emerging Technologies in Computing, 8(3), 1–16. https://doi.org/10.33166/aetic.2024.03.001

R, S. M. S. A., Kanagaraj, G., & Yu, V. F. (2023b). Gravitation search-based hybrid algorithm for solving inverse kinematics of an n-link redundant manipulator. Journal of Computational Design and Engineering, 10(5), 2019–2035. https://doi.org/10.1093/jcde/qwad087

Fusic, S. J., Sitharthan, R., Masthan, S. S., & Hariharan, K. (2022). Autonomous vehicle path planning for smart logistics mobile applications based on modified heuristic algorithm. Measurement Science and Technology, 34(3), 034004. https://doi.org/10.1088/1361-6501/aca708

Kanagaraj, G., Masthan, S. S., & Yu, V. F. (2022). Meta-Heuristics based inverse kinematics of robot manipulator’s path tracking capability under joint limits. MENDEL, 28(1), 41–54. https://doi.org/10.13164/mendel.2022.1.041

Kanagaraj, G., Masthan, S. a. R. S., & Yu, V. F. (2021). INVERSE KINEMATIC SOLUTION OF OBSTACLE AVOIDANCE REDUNDANT ROBOT MANIPULATOR BY BAT ALGORITHMS. International Journal of Robotics and Automation, 36(1). https://doi.org/10.2316/j.2021.206-0425

Kumaran, R. M., Kumaraguruparan, G., & Sornakumar, T. (2013). Experimental and numerical studies of header design and inlet/outlet configurations on flow mal-distribution in parallel micro-channels. Applied Thermal Engineering, 58(1–2), 205–216. https://doi.org/10.1016/j.applthermaleng.2013.04.026

Kumaraguruparan, G., Kumaran, R. M., Sornakumar, T., & Sundararajan, T. (2011). A numerical and experimental investigation of flow maldistribution in a micro-channel heat sink. International Communications in Heat and Mass Transfer, 38(10), 1349–1353. https://doi.org/10.1016/j.icheatmasstransfer.2011.08.020

Govardhanan, M. S., Kumaraguruparan, G., Kameswari, M., Saravanan, R., Vivar, M., & Srithar, K. (2020). Photovoltaic Module with Uniform Water Flow on Top Surface. International Journal of Photoenergy, 2020, 1–9. https://doi.org/10.1155/2020/8473253

Kumaraguruparan, G., & Sornakumar, T. (2010). Development and testing of aluminum micro channel heat sink. Journal of Thermal Science, 19(3), 245–252. https://doi.org/10.1007/s11630-010-0245-8

Saravanan, V., & Kumaraguruparan, G. (2019). Thermal management of microwave electronics in the radar system. ISSS Journal of Micro and Smart Systems, 8(2), 143–153. https://doi.org/10.1007/s41683-019-00043-z

Gautham, A. K., Mujahid, A. A., Kanagaraj, G., & Kumaraguruparan, G. (2021). Machine learning and IOT-Based ultrasonic humidification control system for longevity of fruits and vegetables. In Algorithms for intelligent systems (pp. 87–99). https://doi.org/10.1007/978-981-16-3802-2_7

Kumar, S. S., & Kumaraguruparan, G. (2023). Experimental investigation and development of miniature microchannel condenser-based personal cooling system for firefighters. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 45(8). https://doi.org/10.1007/s40430-023-04324-5

Subramaniyan, A. L., Kumaraguruparan, G., Venkatesan, R., & Vignesh, A. (2014). Selection of nanofluid for heat transfer applications from existing models of thermal conductivity. International Journal of Nanodimension., 5(317), 213–222. https://doi.org/10.7508/ijnd.2014.03.002

Kumar, S. S., Kumaraguruparan, G., & Senthilkumar, T. S. (2024). Optimization of louver fin geometries for miniature microchannel condenser by Taguchi and CFD method. Sadhana, 49(3). https://doi.org/10.1007/s12046-024-02558-0

Naresh, R., Kanagaraj, G., Giri, J., Yu, V. F., Fatehmulla, A., & Mallik, S. (2025). Cost-efficient design and optimization of robotic assembly lines using a non-dominated sorting genetic algorithm framework. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-86171-z

Shenbagam, M., Kanagaraj, G., Giri, J., Yu, V. F., Qin, H., & Mallik, S. (2024). Optimizing blood glucose regulation in type 1 diabetes: A fractional order controller approach. AIP Advances, 14(4). https://doi.org/10.1063/5.0199980

Kumar, S. S., Raja, V. M., Sudhagar, S., Kanagaraj, G., Vignesh, V., & Manimaran, P. (2023). Static, Dynamic Mechanical and Thermal Characteristics of Luffa, Morinda tinctoria, and Myrobalan Reinforced Epoxy Hybrid Biocomposites. Fibers and Polymers, 24(6), 2093–2105. https://doi.org/10.1007/s12221-023-00196-7

Fusic, S. J., Kanagaraj, G., Hariharan, K., & Karthikeyan, S. (2021). Optimal path planning of autonomous navigation in outdoor environment via heuristic technique. Transportation Research Interdisciplinary Perspectives, 12, 100473. https://doi.org/10.1016/j.trip.2021.100473

Parasuraman, S., Elamvazuthi, I., Kanagaraj, G., Natarajan, E., & Pugazhenthi, A. (2021). Assessments of Process Parameters on Cutting Force and Surface Roughness during Drilling of AA7075/TiB2 In Situ Composite. Materials, 14(7), 1726. https://doi.org/10.3390/ma14071726

Kanagaraj, G., Naresh, R., & Yu, V. F. (2021). ENUMERATIVE SEARCH ALGORITHM FOR ROBOTIC DISASSEMBLY LINE BALANCING PROBLEM. International Journal of Robotics and Automation, 36(1). https://doi.org/10.2316/j.2021.206-0427

Samykano, M., Selvamani, S. K., Kadirgama, K., Ngui, W. K., Kanagaraj, G., & Sudhakar, K. (2019). Mechanical property of FDM printed ABS: influence of printing parameters. The International Journal of Advanced Manufacturing Technology, 102(9–12), 2779–2796. https://doi.org/10.1007/s00170-019-03313-0

B, F. D., K, L. C., & G, K. (2019). Shuffled Complex Evolution based Quantum Particle Swarm Optimization algorithm for mechanical design optimization problems. Journal of Modern Manufacturing Systems and Technology, 2, 23–32. https://journal.ump.edu.my/jmmst/article/download/1797/315

Selvamani, S. K., Samykano, M., Subramaniam, S. R., Ngui, W. K., Kadirgama, K., Kanagaraj, G., & Idris, M. S. (2019). 3D printing: Overview of ABS evolvement. AIP Conference Proceedings. https://doi.org/10.1063/1.5085984

S, N. J. F., G, N. K., & K, N. H. (2019). Autonomous vehicle in industrial logistics application. In Advances in logistics, operations, and management science book series (pp. 182–208). https://doi.org/10.4018/978-1-5225-9078-1.ch008

Pugazhenthi, A., Dinaharan, I., Kanagaraj, G., & Selvam, J. D. R. (2018). Predicting the effect of machining parameters on turning characteristics of AA7075/TiB2 in situ aluminum matrix composites using empirical relationships. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 40(12). https://doi.org/10.1007/s40430-018-1480-2

Doolun, I. S., Ponnambalam, S., Subramanian, N., & G, K. (2018). Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence. Computers & Operations Research, 98, 265–283. https://doi.org/10.1016/j.cor.2018.01.008

Emdadian, A., Ponnambalam, S. G., & Kanagaraj, G. (2018). An implementation of differential evolution algorithm for a single product and single period multi-echelon supply chain network model. Journal of Modern Manufacturing Systems and Technology, 1, 1–14. https://doi.org/10.15282/jmmst.v1i1.196

Fatemeh, D. B., Loo, C. K., Kanagaraj, G., & Ponnambalam, S. G. (2018). A hybrid SP-QPSO algorithm with parameter free adaptive penalty method for constrained global optimization problems. Journal of Modern Manufacturing Systems and Technology, 1, 15–26. https://doi.org/10.15282/jmmst.v1i1.195

Pugazhenthi, A., Kanagaraj, G., Dinaharan, I., & Selvam, J. D. R. (2018). Turning characteristics of in situ formed TiB2 ceramic particulate reinforced AA7075 aluminum matrix composites using polycrystalline diamond cutting tool. Measurement, 121, 39–46. https://doi.org/10.1016/j.measurement.2018.02.039

Pilligrin, J. C., Asokan, P., Jerald, J., & Kanagaraj, G. (2017). Effects of electrode materials on performance measures of electrical discharge micro-machining. Materials and Manufacturing Processes, 33(6), 606–615. https://doi.org/10.1080/10426914.2017.1364757

Natarajan, J., Sivasankaran, R., & Kanagaraj, G. (2017). Bi-objective optimization for tolerance allocation in an interchangeable assembly under diverse manufacturing environment. The International Journal of Advanced Manufacturing Technology, 95(5–8), 1571–1595. https://doi.org/10.1007/s00170-017-1232-y

Kumar, S. S., & Kanagaraj, G. (2016). Effect of graphite and silicon carbide fillers on mechanical properties of PA6 polymer composites. Journal of Polymer Engineering, 37(6), 547–557. https://doi.org/10.1515/polyeng-2015-0441

Cyril, J., Paravasu, A., Jerald, J., Sumit, K., & Kanagaraj, G. (2016). Experimental investigation on performance of additive mixed dielectric during micro-electric discharge drilling on 316L stainless steel. Materials and Manufacturing Processes, 32(6), 638–644. https://doi.org/10.1080/10426914.2016.1221107

Pilligrin, J. C., Asokan, P., Jerald, J., Kanagaraj, G., Nilakantan, J. M., & Nielsen, I. (2017). Tool speed and polarity effects in micro-EDM drilling of 316L stainless steel. Production & Manufacturing Research, 5(1), 99–117. https://doi.org/10.1080/21693277.2017.1357055

Kumar, S. S., & Kanagaraj, G. (2016a). Investigation on mechanical and tribological behaviors of PA6 and Graphite-Reinforced PA6 polymer composites. Arabian Journal for Science and Engineering, 41(11), 4347–4357. https://doi.org/10.1007/s13369-016-2126-2

Satheeskumar, S., & Kanagaraj, G. (2016). Experimental investigation on tribological behaviours of PA6, PA6-reinforced Al2 O 3 and PA6-reinforced graphite polymer composites. Bulletin of Materials Science, 39(6), 1467–1481. https://doi.org/10.1007/s12034-016-1296-6

Kumar, S. S., & Kanagaraj, G. (2016a). Evaluation of mechanical properties and characterization of silicon carbide–reinforced polyamide 6 polymer composites and their engineering applications. International Journal of Polymer Analysis and Characterization, 21(5), 378–386. https://doi.org/10.1080/1023666x.2016.1160671

Kumar, S. S., & Kanagaraj, G. (2016c). Investigation of characterization and mechanical performances of AL2O3 and SIC reinforced PA6 hybrid composites. Journal of Inorganic and Organometallic Polymers and Materials, 26(4), 788–798. https://doi.org/10.1007/s10904-016-0387-6

Kanagaraj, G., Ponnambalam, S. G., & Jawahar, N. (2014). Reliability-based total cost of ownership approach for supplier selection using cuckoo-inspired hybrid algorithm. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-013-5545-1

Lim, W. C. E., Kanagaraj, G., & Ponnambalam, S. G. (2014). A hybrid cuckoo search-genetic algorithm for hole-making sequence optimization. Journal of Intelligent Manufacturing, 27(2), 417–429. https://doi.org/10.1007/s10845-014-0873-z

Alim, A. M., Ponnambalam, S. G., & Kanagaraj, G. (2016). Robot Workcell Layout Optimization using Firefly Algorithm. In Lecture notes in computer science (pp. 188–200). https://doi.org/10.1007/978-3-319-48959-9_17

Kanagaraj, G., Ponnambalam, S. G., & Gandomi, A. H. (2016). Hybridizing Cuckoo Search with Bio-inspired Algorithms for Constrained Optimization Problems. In Lecture notes in computer science (pp. 260–273). https://doi.org/10.1007/978-3-319-48959-9_23

Nilakantan, J. M., Ponnambalam, S. G., Jawahar, N., & Kanagaraj, G. (2015). Bio-inspired search algorithms to solve robotic assembly line balancing problems. Neural Computing and Applications, 26(6), 1379–1393. https://doi.org/10.1007/s00521-014-1811-x

Teoh, B. E., Ponnambalam, S., & Kanagaraj, G. (2015). Differential evolution algorithm with local search for capacitated vehicle routing problem. International Journal of Bio-Inspired Computation, 7(5), 321. https://doi.org/10.1504/ijbic.2015.072260

Kanagaraj, G., Ponnambalam, S., Jawahar, N., & Nilakantan, J. M. (2013). An effective hybrid cuckoo search and genetic algorithm for constrained engineering design optimization. Engineering Optimization, 46(10), 1331–1351. https://doi.org/10.1080/0305215x.2013.836640

Kanagaraj, G., Ponnambalam, S., & Lim, W. (2014). Application of a hybridized cuckoo search-genetic algorithm to path optimization for PCB holes drilling process. IEEE International Conference on Automation Science and Engineering (CASE), 373–378. https://doi.org/10.1109/coase.2014.6899353

Vincent, L. W. H., Ponnambalam, S. G., & Kanagaraj, G. (2012). Differential evolution variants to schedule flexible assembly lines. Journal of Intelligent Manufacturing, 25(4), 739–753. https://doi.org/10.1007/s10845-012-0716-8

Chakaravarthy, G., Marimuthu, S., Ponnambalam, S., & Kanagaraj, G. (2013). Improved sheep flock heredity algorithm and artificial bee colony algorithm for schedulingm-machine flow shops lot streaming with equal size sub-lot problems. International Journal of Production Research, 52(5), 1509–1527. https://doi.org/10.1080/00207543.2013.848304

Lim, W. C. E., Kanagaraj, G., & Ponnambalam, S. G. (2014a). PCB drill path optimization by combinatorial Cuckoo search Algorithm. The Scientific World JOURNAL, 2014, 1–11. https://doi.org/10.1155/2014/264518

Elango, M., Kanagaraj, G., & Ponnambalam, S. G. (2013). Sandholm Algorithm with K-means Clustering Approach for Multi-robot Task Allocation. In Lecture notes in computer science (pp. 14–22). https://doi.org/10.1007/978-3-319-03756-1_2

Elango, M., Kanagaraj, G., & Ponnambalam, S. G. (2013). Sandholm Algorithm with K-means Clustering Approach for Multi-robot Task Allocation. In Lecture notes in computer science (pp. 14–22). https://doi.org/10.1007/978-3-319-03756-1_2

Kanagaraj, G., Ponnambalam, S., & Jawahar, N. (2013). A hybrid cuckoo search and genetic algorithm for reliability–redundancy allocation problems. Computers & Industrial Engineering, 66(4), 1115–1124. https://doi.org/10.1016/j.cie.2013.08.003

Kanagaraj, G., Ponnambalam, S. G., & Jawahar, N. (2012). Supplier selection: Reliability based total cost of ownership approach using Cuckoo search. In Communications in computer and information science (pp. 491–501). https://doi.org/10.1007/978-3-642-35197-6_55

Lim, W. C. E., Kanagaraj, G., & Ponnambalam, S. G. (2012). Cuckoo search algorithm for optimization of sequence in PCB holes drilling process. In Lecture notes in mechanical engineering (pp. 207–216). https://doi.org/10.1007/978-81-322-1007-8_18

Kanagaraj, G., & Jawahar, N. (2011). Optimal redundancy allocation for a reliability-based total cost of ownership model using genetic algorithm. International Journal of Reliability and Safety, 5(2), 158. https://doi.org/10.1504/ijrs.2011.039301

Kanagaraj, G., & Jawahar, N. (2009). A simulated annealing algorithm for optimal supplier selection using the reliability-based total cost of ownership model. International Journal of Procurement Management, 2(3), 244. https://doi.org/10.1504/ijpm.2009.024809

Lim, W. C. E., Kanagaraj, G., & Ponnambalam, S. G. (2014b). PCB drill path optimization by combinatorial Cuckoo search Algorithm. The Scientific World JOURNAL, 2014, 1–11. https://doi.org/10.1155/2014/264518