BOOKS AUTHORED

List of Journal Publications(2017-2021) 

1. Arasu, S. K., & Prakash, J. (2018). Experimental validation of predictor-corrector approach-based control schemes on the laboratory scale non-linear system. ISA transactions, 76, 188-196.Impact Factor :5.911.
2. Pathiran, A. R., & Prakash, J. (2018). Model based multivariable control scheme in a reset configuration for stable multivariable systems. The Canadian Journal of Chemical Engineering, 96(6), 1317-1326.Impact Factor:2.500.
3. Raghu, A., Yang, X., Khare, S., Prakash, J., Huang, B., & Prasad, V. (2018).Reservoir history matching using constrained ensemble Kalman filtering. TheCanadian Journal of Chemical Engineering, 96(1), 145-159.Impact Factor:2.500.
4. Pathiran, A. R., &Prakash, J. (2018). Design of internal model control dead‐timecompensation scheme for first order plus dead‐time systems. The Canadian Journal of Chemical Engineering, 96(12), 2553-2563.Impact Factor: 2.500.
5. Ponnapalli, B., &Pappa, N. (2018). Harmonic level minimization using neuro–fuzzy-based SVPWM. IETE Journal of Research, 64(2), 247-262.Impact Factor:1.877.
6. Abraham, A., Pappa, N., Honc, D., & Sharma, R. (2018). Reduced order modelling and predictive control of multivariable nonlinear process. Sādhanā, 43(3), 1-18. Impact Factor:1.214.
7. Sivathanu, A. K., &Srinivasan, S. (2018). Extended Kalman filter for fouling detection in thermal power plant reheater. Control Engineering Practice, 73, 91-99. Impact Factor :4.057.
8. Nageswararao, A. V., Babu, S. P., &Srinivasan, S. (2018). Segmentation of Short Axis CMR Images Using Hybrid Method. Current Medical Imaging, 14(3), 461-467.Impact Factor:1.315
9. Sivathanu, A. K., Srinivasan, S., & Ramalingam, P. (2018). Detection of AshFouling in Thermal Power Plant. National Academy Science Letters, 41(6), 369-373.Impact Factor: 0.649
10. Nageswararao, A. V., Srinivasan, S., & Priya, E. (2018). Inhomogeneity correction and hybrid-based segmentation in cardiac MRI. International Journal of Biomedical Engineering and Technology, 28(4), 349-365.Impact Factor:1.015
11. Ambikapathy, B., &Kamalanand, K. (2018). Analysis of electromyograms recorded using invasive and noninvasive electrodes: a study based on entropy and Lyapunov exponents estimated using artificial neural networks. Journal of Ambient Intelligence and Humanized Computing, 1-9.Impact factor: 3.662
12. Babushanmugham, S., Srinivasan, S., Ganesh Ram, A., Girirajkumar, S. M., &Sivaraman, E. (2018). Level Control of a Non-Linear Spherical Tank System using GA based Controller. Int. J. Res. Appl. Sci. Eng. Technol, 6(3), 2196-2203.
13. Kalpana, D.,&Thyagarajan, T. (2019). Parameter estimation using relay feedback. Reviews in Chemical Engineering, 35(4), 505-529.Impact Factor:8.742
14. Chakkarapani, K., Thyagarajan, T., Kalpana, D.,&Thandavarayan, P. (2019).Multiobjective design optimization and analysis of magnetic flux distribution for slotless permanent magnet brushless DC motor using evolutionary algorithms. Journal of Magnetism and Magnetic Materials, 476, 524-537.Impact Factor: 3.097
15. Chelliah, S. K., Parameswaran, P., Ramasamy, S., Vellayaraj, A., &Srinivasan, S. (2019). Optimization of acoustic emission parameters to discriminate failure modes in glass–epoxy composite laminates using pattern recognition. Structural Health Monitoring, 18(4), 1253-1267.Impact Factor:5.710
16. Tian, H., Prakash, J., Zavala, V. M., Olson, J. A., & Gopaluni, R. B. (2020). A tractable approximation for stochastic MPC and application to mechanical pulping processes. Computers & Chemical Engineering, 141, 106977.Impact Factor: 4.13
17. Malarkodi, A., Latha, G., & Srinivasan, S. (2020). Characterization of underwater acoustic communication channel.
18. Malarkodi, A., Latha, G., & Srinivasan, S. (2020). An experimental study of passive time reversal process for underwater acoustic communication in shallow waters of the bay of bengal. Journal of Coastal Research, 89(SI), 58-62.Impact Factor:1.11
19. Arockia Sukanya, S., Kamalanand, K., & Balakrishnan, T. (2020). Comparison of Preprocessing Techniques for Dental Image Analysis. Current Medical Imaging, 16(7), 776-780.Impact Factor: 1.315
20. Kamalanand, K., Ambikapathy, B., Kumar, A., & De Britto, L. (2020). Prediction of the transition from subexponential to the exponential transmission of SARSCoV- 2 in Chennai, India: epidemic nowcasting. JMIR public health and surveillance, 6(3), e21152.Impact Factor:14.56
21. Ambikapathy, B., & Kamalanand, K. (2020). Mathematical modelling to assess the impact of lockdown on COVID-19 transmission in India: Model development and validation. JMIR public health and surveillance, 6(2), e19368.Impact Factor:14.56
22. Kamalanand, K., Manoharan, S. C., & Swaminathan, R. (2020). A Jacobian approach for calculating the Lyapunov exponents of short time series using support vector regression. Journal of Ambient Intelligence and Humanized Computing, 11(8), 3329-3335.Impact factor: 3.662
23. Alagumariappan, P., Kamalanand, K., Kandiah, S., Cyril, E., & Rajinikanth, V. (2020). Diagnosis of Type 2 Diabetes Using Electrogastrograms: Extraction and Genetic Algorithm–Based Selection of Informative Features. JMIR Biomedical Engineering, 5(1), e20932.
24. Alagumariappan, P., Kamalanand, K., & Jawahar, P. M. (2020). Selection of surface electrodes for electrogastrography and analysis of normal and abnormal electrogastrograms using Hjorth information. International Journal of Biomedical Engineering and Technology, 32(4), 317-330.Impact factor:1.015
25. Ganesh Ram, A. , Vijayakarthick, M., Meyyappan, S., Vinoth, N., &Sathishbabu, S. (2020). Bifurcation and Chaos in Current Programmed Positive Output Luo_Converter. European Journal of Molecular & Clinical Medicine, 7(2),5153-5164.
26. Vinoth, N., Vijayakarthick, M., Ganesh Ram, A., Meyyappan, S.,&Sathishbabu, S. (2020). Thresholding of Skin Melanoma Images based on Kapur’s Entropy with Harmony Search Algorithm. J. Mol. Clin. Med, 7, 716-726.
27. Meyyappan, S. (2020). Fuzzy Logic based Enhanced Word Sense Identification through Relation Construction. Solid State Technology, 63(6), 14627-14635.
28. Sowparnika, G. C., Thiru-marimurugan, M., &Vinoth, N. (2020). Modeling and optimized controller for cardiac drug infusion system. Indian Journal of Science and Technology, 13(12), 1347-1354.
29. Mani, M., Thyagarajan, T., Perumal, S. K., & Kannan, S. (2021). Development and experimental validation of reactor kinetic model for catalytic cracking of eugenol, a potential bio additive fuel blend. International Journal of Chemical Reactor Engineering, 19(10), 1023-1030. Impact factor:1.636
30. Moghadam, R., Pappa, N., & Jagannathan, S. (2021). Online optimal adaptive control of partially uncertain nonlinear discrete-time systems using multilayer neural networks. IEEE Transactions on Neural Networks and Learning Systems. Impact Factor:14.255
31. Vijayakarthick, M., Sivaraman, E., Sathishbabu, S., Vinoth, N., & Sivaraj, S. N. (2022). Modelling and Predictive Analytics of COVID-19 Transmission Using Gustafson–Kessel Fuzzy Clustering Approach. The Computer Journal. Impact Factor:1.762.
32. Chitra, M., Sutha, S.,&Pappa, N. (2021). Application of deep neural techniques in predictive modelling for the estimation of Escherichia coli growth rate. Journal of Applied Microbiology, 130(5), 1645-1655.Impact Factor:4.059
33. Pappa, N., Moghadam, R., & Jagannathan, S. (2021). Online deep neural network-based feedback control of a Lutein bioprocess. Journal of Process Control, 98, 41-51.Impact Factor: 3.951
34. Mythily M., Manamalli, D., Panda, R. C., & Ramasami, R. N. (2021). Modelling,control and supervisory optimization of generalized predictive control in catalytic cracking reactor. International Journal of Chemical Reactor Engineering. Impact Factor:1.636
35. Saravana Kumar, S., & Latha, K. (2021). A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant. Water Science and Technology, 84(10-11), 3415-3424.
36. Ambikapathy, B., Kamalanand, K., & Venkatesan, R. (2021). Assessment of electromyograms using genetic algorithm and artificial neuralnetworks. Evolutionary Intelligence, 14(2), 261-271.
37. Bakiya, A., Kamalanand, K., & Rajinikanth, V. (2021). Automated diagnosis of amyotrophic lateral sclerosis using electromyograms and firefly algorithm based neural networks with fractional position update. Physical and Engineering Sciences in Medicine, 44(4), 1095-1105.Impact Factor:7.099
38. Ambikapathy, B., Kamalanand, K., & Venkatesan, R. (2021). Assessment of electromyograms using genetic algorithm and artificial neural networks. Evolutionary Intelligence, 14(2), 261-271.
39. Anand, G., Thyagarajan, T., Kokila, D., & Kamal, C. (2022). Design optimization of giant magneto resistance–based magnetic nanoparticle detection in liquid samples for biomedical applications. Journal of Nanoparticle Research, 24(8), 1-Impact Factor:2.533
40. Thyagarajan, T., & Panda, R. C. (2022). Volume reduction of industrial effluent in Multiple Effect Evaporator through model-based control schemes. Iranian Journal of Chemistry and Chemical Engineering (IJCCE). Impact Factor:1.903
41. Thyagarajan, T., & Panda, R. C. (2022). Volume reduction of industrial effluent in Multiple Effect Evaporator through model-based control schemes. Iranian Journal of Chemistry and Chemical Engineering (IJCCE).Impact Factor:1.903
42. Govindan, V., &Pappa, N. (2022). Online learning based neural network adaptive controller for efficient power tracking of PWR type reactor with unknown internal dynamics. Annals of Nuclear Energy, 168, 108866.Impact Factor:1.81
43. Krishna, V. V. S., Pappa, N., &Vasantharani, S. P. (2022). Realization of Deep Learning Based Embedded Soft Sensor for Bioprocess Application. Intelligent Automation And Soft Computing, 32(2), 781-794.Impact Factor:3.401
44. Kayalvizhi, M., Manamalli, D., &Bhuvanithaa, K. (2022). Control of high temperature short time milk pasteurization plant with centralized and decentralized linear quadratic regulators. Journal of the Chinese institute of engineers, 45(1), 65-75.Impact Factor:1.107
45. Joseph, A., &Vasanthi, D. (2022). Event-driven enabled regression aided multiloop control for SEC minimisation in SWRO desalination considering salinity variation. ISA transactions, 119, 221-241.Impact Factor:5.911
46. Bhavatharangini, S., &SabithaRamakrishnan,. (2022). Reducing the internet traffic in IoT-based monitoring and control system through a combination of WSN and LoRaWAN networks. International Journal of Ad Hoc and Ubiquitous Computing, 39(4), 211-222.Impact Factor:0.773
47. SabithaRamakrishnan,. (2022). Fluorescence nano particle detection in a liquid sample using the smartphone for biomedical application. Journal of Fluorescence, 32(1), 135-143. Impact Factor:2.525
48. Thanigaiarasu, S., Balamani, G., Bakiya, A., Immaculyne, F., Kamalanand, K., & De Britto, R. L. J. (2022). Numerical Modeling and Simulation of the Droplet Transmission of SARS-CoV-2 in the Ambient Environment and Its Relevance to Social Distancing. Mathematical Problems in Engineering, 2022.Impact Factor:1.430
49. Bakiya, A., Anitha, A., Sridevi, T., & Kamalanand, K. (2022). Classification of Myopathy and Amyotrophic Lateral Sclerosis Electromyograms Using Bat Algorithm and Deep Neural Networks. Behavioural Neurology, 2022.Impact Factor:3.112
50. Rajinikanth, V., Kadry, S., Taniar, D., Kamalanand, K., Elaziz, M. A., & Thanaraj, K. P. (2022). Detecting epilepsy in EEG signals using synchro-extractingtransform (SET) supported classification technique. Journal of Ambient Intelligence and Humanized Computing, 1-19.Impact factor: 3.662
51. Maniraman, P., Kalpana, D., & Manickam, C. (2022). Improved sequential autotuning of PI controllers for industrial-scale polymerization (ISP) reactor. International Journal of Chemical Reactor Engineering.Impact Factor:1.51
52. Mahalingam,P., Kalpana, D., Sendhilkumar, S., &Thyagarajan, T. (2022).Prefatory data analysis approach to synthetically generated pneumatic actuator data set. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 09596518221117326.Impact Factor:1.623

List of Conferences (2017-2021)

1. Pattnaik, B., Subbian, S., Narayanan, N., & Jalihal, P. (2022, February). RNN based Disturbance Rejection Model Predictive Control for Waste Heat LTTD Process. In OCEANS 2022-Chennai (pp. 1-6). IEEE.
2. Subbian, S., & Govindaraju, D. (2019, August). Machine Learning for Classification and Control of Cardiac Arrhythmias. In 2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE) (pp. 66-71). IEEE.
3. Subbian, S. (2021, March). Development of Reconfigurable Control Schemes for Epileptic Seizures. In 2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII) (pp. 1-5). IEEE.
4. Arasu, S. K., & Prakash, J. (2020). Design and Implementation of Takagi- Sugeno Fuzzy Model Based Control Scheme for the Continuous Stirred Tank Reactor. IFAC-PapersOnLine, 53(1), 447-452.
5. Prakash, J., Sibaweihi, N., Patel, R. G., & Trivedi, J. J. (2020, September). Datadriven steam optimization for SAGD. In SPE Canada Heavy Oil Conference. OnePetro.
6. Prakash, J., Patel, R. G., Sibaweihi, N., & Trivedi, J. J. (2019, June). Data- Driven Real-Time Optimal Steam Allocation Strategy for Heavy Oil Reservoirs: A Field Case Study. In SPE Europec featured at 81st EAGE Conference and Exhibition. Society of Petroleum Engineers.
7. Prakash, J., Zamar, D., Gopaluni, B., & Kwok, E. (2018). An efficient modelbased control algorithm for the determination of an optimal control policy for a constrained stochastic linear system. IFAC-PapersOnLine, 51(18), 590-595.
8. ThayaaSree, P., Mythily, M., Vasanthi, D., & Manamalli, D. (2021). Design and Implementation of Fractional Order PI Controller for FCCU. In Advances in Automation, Signal Processing, Instrumentation, and Control (pp. 2567-2577). Springer, Singapore.
9. Rengasamy, S., Manamalli, D., & Rajendra Prasad, K. C. (2021). Fault Detection in Electro-Mechanical Actuator System. In Advances in Automation, Signal Processing, Instrumentation, and Control (pp. 1575-1589). Springer, Singapore.
10. Karthicraja, V. M., Mythily, M., & Manamalli, D. (2021). Mathematical Modeling of Elbow-Actuated Wearable Robotic Arm for Muscular Disorders. In Advances in Automation, Signal Processing, Instrumentation, and Control (pp. 2847-2854). Springer, Singapore.
11. Kayalvizhi, M., Manamalli, D., & Bhuvanithaa, K. (2017, August). Cascade control of HTST milk pasteurization process with and without pre-cooling stage. In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS) (pp. 1807-1812). IEEE.
12. Chitra, M., & Pappa, N. (2021, January). Optimal Tuning of Model Predictive Controller using Chicken Swarm Optimization for Real-time Cultivation of Escherichia coli. In 2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) (pp. 99-104). IEEE.
13. Krishna, V. V., Pappa, N., & Rani, S. J. V. (2021, January). Deep Learning based Soft Sensor for Bioprocess Application. In 2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) (pp. 155-159). IEEE.
14. Moghadam, R., Natarajan, P., & Jagannathan, S. (2020, December). Multilayer neural network-based optimal adaptive tracking control of partially uncertain nonlinear discrete-time systems. In 2020 59th IEEE Conference on Decision and Control (CDC) (pp. 2204-2209). IEEE.
15. Moghadam, R., Natarajan, P., Raghavan, K., & Jagannathan, S. (2020, July). Online Optimal Adaptive Control of a Class of Uncertain Nonlinear Discrete-time Systems. In 2020 International Joint Conference on Neural Networks (IJCNN) (pp. 1-6). IEEE.
16. Abraham, A., Muralidharan, G., &Pappa, N. (2020). Control of an Industrial-type Multicomponent Crude Distillation Column using Biggest Log Modulus Tuning. IFAC-PapersOnLine, 53(1), 640-647.
17. Krishna, V. V., Pappa, N., & Rani, S. J. V. (2018, March). Implementation of embedded soft sensor for bioreactor on Zynq processing system. In 2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC) (pp. 297-301). IEEE.
18. Nandini, C., Ashwini, C., Aparna, M., Ramani, N., Kini, P., &Sheeba, K. (2012). Biometric authentication by dorsal hand vein pattern. International Journal of Engineering and Technology, 2(15), 837-840.
19. Joseph, A., &Vasanthi, D. (2019, March). Performance Analysis of PID Control Loops in Desalination Process using LabVIEW. In 2019 Innovations in Power and Advanced Computing Technologies (i-PACT) (Vol. 1, pp. 1-9). IEEE.
20. Joseph, A., Vasanthi, D., & John, M. (2018, December). Low Cost Embedded Design for Wireless Remote Monitoring of Measurement Data in LabVIEW. In 2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) (pp. 1-9). IEEE.
21. Lupenza, L. B., Subbian, S., &Murugan, C. (2021, December). Development of Event triggered Feed forward Control Scheme for Fed-Batch E. coli Fermentation Process. In 2021 IEEE 18th India
22. Kalpana, D., & Chidambaram, M. (2021). Auto-tuning of Decentralized PI Controllers for a Non-square System. In Advances in Automation, Signal Processing, Instrumentation, and Control (pp. 253-259). Springer, Singapore.
23. Priyadharsini, M., Kalpana, D., & Chidambaram, M. (2021, November). Autotuning of Centralized PID Controllers for a Non-square Unstable MIMO System. In 2021 Innovations in Power and Advanced Computing Technologies (i- PACT) (pp. 1-5). IEEE.
24. Mahalingam, P., Kalpana, D., & Thyagarajan, T. (2021, August). Overfit Analysis on Decision Tree Classifier for Fault Classification in DAMADICS. In 2021 IEEE Madras Section Conference (MASCON) (pp. 1-4). IEEE.
25. Kalpana, D., & Chidambaram, M. (2020, June). Auto tuning of decentralized pi controllers for a non-square unstable mimo system. In 2020 First IEEE International Conference on Measurement, Instrumentation, Control and Automation (ICMICA) (pp. 1-5). IEEE.
26. Rajinikanth, V., Dey, N., Satapathy, S. C., & Kamalanand, K. (2020). Inspection of crop-weed image database using kapur’s entropy and spider monkey In Soft Computing for Problem Solving (pp. 405-414). Springer, Singapore.
27. Marichamy, V. S., & Natarajan, V. (2020, September). A Study of Big Data Security on a Partitional Clustering Algorithm with Perturbation Technique. In 2020 International Conference on Smart Electronics and Communication (ICOSEC) (pp. 482-486). IEEE.
28. Arivazhagan, C., & Natarajan, V. (2020, July). A Survey on Fog computing paradigms, Challenges and Opportunities in IoT. In 2020 International Conference on Communication and Signal Processing (ICCSP) (pp. 0385-0389). IEEE.
29. Darapaneni, N., Jagannathan, A., Natarajan, V., Swaminathan, G. V.,Subramanian, S., &Paduri, A. R. (2020, November). Semantic Segmentation of Solar PV Panels and Wind Turbines in Satellite Images Using U-Net. In 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS) (pp. 7-12). IEEE.
30. Sudhakar, T., Natarajan, V., & Narayanan, G. (2019, December). Group Anonymous D2D Authenticated Key Exchange Protocol for Mobile Networks. In 2019 11th International Conference on Advanced Computing (ICoAC) (pp. 381-385). IEEE.
31. Marichamy, V. S., & Natarajan, V. (2019). Big data performance analysis on Hadoop Distributed File System based on geometric data perturbation technique. Procedia Computer Science, 165, 415-420.
32. Sudhakar, T., & Natarajan, V. (2018, December). Cryptanalysis of Provably Secure Authentication Scheme for Multi-Server Environment. In 2018 Tenth International Conference on Advanced Computing (ICoAC) (pp. 43-46). IEEE.
33. Malarkodi, A., Srinivasan, S., & Latha, G. (2020, October). Comparison of Passive Time Reversal communication technique with Extended Kalman Filter for estimation of Shallow water multipath communication channel. In 2020 5^th International Conference on Computing, Communication and Security (ICCCS) (pp. 1-5). IEEE.
34. Evangeline, N. C., Suresh, E., & Srinivasan, S. (2020, October). Computeraided appraisement of plantar foot health in Diabetic subjects using Infra-red thermograms. In 2020 5th International Conference on Computing, Communication and Security (ICCCS) (pp. 1-5). IEEE.
35.  Kumari, S. A., & Srinivasan, S. (2017, September). Optimal estimation-based tube leak detection in a thermal power plant reheater. In 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI) (pp. 2694-2697). IEEE.
36. Kamal, C., Amudhavalli, D., & Thyagarajan, T. (2018, February). Reformed Stator Design of BLDC Motor for Cogging Torque Minimization Using Finite Element Analysis. In 2018 4th International Conference on Electrical Energy Systems (ICEES) (pp. 481-484). IEEE.
37. Sagi, B., &Thangavelu, T. (2020, September). Data Driven Modelling for Dual Composition Estimation in Binary Distillation Process. In 2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP) (pp. 1-6). IEEE.
38. Vinoth, N., Vijayakarthick, M., Ramesh, S., &Sivaraman, E. (2021). Taxonomy of Diabetic Retinopathy Patients Using Biogeography-Based Optimization on Support Vector Machine Based on Digital Retinal Images. In Sustainable Communication Networks and Application (pp. 631-642). Springer, Singapore.
39. Vinoth, N., Vijayakarthick, M., Ram, A. G., Meyyappan, S., &Sathishbabu, S. (2020). Thresholding of Skin Melanoma Images based on Kapur’s Entropy with Harmony Search Algorithm. Eur. J. Mol. Clin. Med, 7, 716-726.
40. Karthikeyan, S., Sankar, T., Vijayakarthick, M., Ravi, T., & Rajasekar, B. (2020, December). Role of IOT in Healthcare using Smart Textiles. In 2020 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS) (pp. 1-6). IEEE.
41. Karthikeyan, S., Dharani, B. N., Vijayakarthick, M., Ravi, T., &Narmadha, R. (2020, December). Raspberry PI Based Smart Projector. In 2020 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS) (pp. 1-7). IEEE.
42. A Low Power Fault Tolerant Strategy for Transient Faults In Digital Systems, International Conference on Advances in Computing and Information Technology (ICACIT '19), 24th and 25th September 2019, Annamalai Nagar, India.

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