Publications | Konnichiwa

JOURNALS

Quartile 1

No.	Year / Impact Factor	Paper
8	2020 IF: 5.289	S.M.A. Tarmizi, N.A. Nordin, S.A. Mazlan, N. Mohamad, H.A. Rahman, S.A.A. Aziz, N. Nazmi and M.A Azmi. Incorporation of Cobalt Ferrite on the Field Dependent Performances of Magnetorheological Grease. Journals of Materials Sciences and Technology, 9(6):15566-15574.
7	2020 IF: 3.426	N.M. Hapipi, S.A. Mazlan, K. Homma, S.A.A. Aziz, N.A. Nordin, I. Bahiuddin, N. Nazmi. The Rheological Studies on Poly (vinyl) Alcohol-Based Hydrogel Magnetorheological Plastomer. Polymers 12 (10), 2332-2347.
6	2020 IF: 3.613	K.D. Saharuddin, M.H.M. Ariff, I. Bahiuddin, S.A. Mazlan, S.A.A. Aziz, N. Nazmi, A.Y.A. Fatah and K. Mohamad. Constitutive Models for Predicting Field-Dependent Viscoelastic Behavior of Magnetorheological Elastomer using Machine Learning. Smart Materials and Structures, Vol. 29, No. 8, 087001.
5	2020 IF: 4.231	N. Razuan, S.A. Mazlan, S.A.A. Aziz, Ubaidillah, S.A.A. Aziz, N. Nazmi and N.A Yunus. Enhancement of sensitivity of magnetostrictive foam in low magnetic fields for sensor application. Polymer, vol 211, 123083.
4	2020 IF: 3.745	M.A.F. Johari, S.A. Mazlan, Ubaidillah, Harjana, S.A.A. Aziz, N.A. Nordin, N. Johari and N. Nazmi. An Overview of Durability Evaluations of Elastomer-Based Magnetorheological Materials. IEEE Access, 8, 134536-134552.
3	2020 IF: 3.613	N.L. Burhannuddin, N.A. Nordin, S.A. Mazlan, S.A.A, Aziz, S.B. Choi, N. Kuwano, N. Nazmi, and N. Johari. Effects of Corrosion Rate of the Magnetic Particles on the Field-Dependent Material Characteristics of Silicone Based Magnetorheological Elastomers. Smart Materials and Structures, Vol. 29, No. 8, 087003.
2	2020 IF: 4.556	N.M. Hapipi, S.A. Mazlan, Ubaidillah, S.A.A. Aziz, M.H.A. Khairi, N.A. Nordin and N. Nazmi. Solvent Dependence of the Rheological Properties in Hydrogel Magnetorheological Plastomer, International Journal of Molecular Sciences, Vol. 21, No. 5, 1793.
1	2016 IF: 2.677	N. Nazmi, M.A.A. Rahman, S.I Yamamoto, S.A. Ahmad, H. Zamzuri and S.A. Mazlan. A review of classification techniques of EMG signals during isotonic and isometric contractions. Sensors, vol. 16, issue. 8, pp. 1-28.

Quartile 2

No.	Year / Impact Factor	Paper
6	2020 IF : 3.057	N.S.Muhazeli, N.A. Nordin, U. Ubaidillah, S.A. Mazlan, S.A.A. Aziz, N. Nazmi, I. Yahya. Magnetic and Tunable Sound Absorption Properties of an In-Situ Prepared Magnetorheological Foam. Materials, 13, 5637.
5	2020 IF : 3.057	S.K.M. Jamari, N.A. Nordin, Ubaidillah, S.A.A. Aziz, N. Nazmi, and S.A. Mazlan. Systematic Review on the Effects, Roles and Methods of Magnetic Particle Coatings in Magnetorheological Materials. Materials, 13, 5317.
4	2020 IF: 2.474	A.A. Zainudin, N.A. Yunus, S.A. Mazlan, M.K. Shabdin, S.A.A. Aziz, N.A. Nordin, N. Nazmi and M.A.A. Rahman. Rheological and Resistance Properties of Magnetorheological Elastomer with Cobalt for Sensor Application. Applied Sciences, Vol. 10, No. 5, 1638.
3	2019 IF: 1.957	D. Adiputra, N. Nazmi, I. Bahiuddin, Ubaidillah, F. Imaduddin, M.A.A. Rahman, S.A. Mazlan and H. Zamzuri. A Review on the Control of the Mechanical Properties of Ankle Foot Orthosis for Gait Assistance. Actuators, Vol. 8, No. 1, 10.
2	2019 IF: 2.474	D. Adiputra, M.A.A. Rahman, Ubaidillah, S.A. Mazlan, N. Nazmi, M.K. Shabdin, J. Kobayashi and M.H.M. Ariff. Control Reference Parameter for Stance Assisstance Using a Passive Controlled Ankle Foot Orthosis – A Preliminary Study. Applied Sciences, Vol. 9, No. 20, 4416.
1	2019 IF: 3.137	N. Nazmi, M.A.A. Rahman, S.I Yamamoto and S.A. Ahmad. Walking gait event detection based on EMG signals using machine learning approach. Biomedical Signals Processing and Control, vol. 47, pp. 334-343.

Quartile 3

No.

Year / Impact Factor

Paper

2017

IF: 1.689

N. Nazmi, M.A.A. Rahman, S. Yamamoto, S.A. Ahmad. M. Balakrishnan, S.A. Mazlan and H. Zamzuri. Assessment on Stationarity of EMG Signals with Different Windows Size during Isotonic Contractions. Applied Sciences, Vol. 7, No. 10, 1050.

BOOK

No.

Year / ISBN NO.

Book

2020

ISBN 978-620-2-92094-0

N. Nazmi, and M.A.A. Rahman. Gait event detection based on EMG signals, Lambert Academic Publishing, Saarbrucken: Germany

CONFERENCES

SCOPUS

No.	Year	Paper
10	2021	I.Bahiuddin, S. B. Wibowo; M Syairaji; J. T. Putra, P. Cahyo, A. F.Maulana, R. M. S. Prastica, N. Nazmi. A Systematic Approach to Predict The Behavior of Cough Droplets Using Feedforward Neural Networks Method. Fluids, 6(2),76.
9	2020	D. Adiputra, M.A.A. Rahman, I. Bahiuddin, Ubaidillah and N. Nazmi. Sensor Number Optimization Using Neural Network for Ankle Foot Orthosis Equipped with Magnetorheological Brake. Open Engineering, 11(1),pp. 91-101.
8	2020	N. Nazmi, M.A.A. Rahman, S.A. Mazlan, D. Adiputra, I. Bahiuddin, M.K. Shabdin, N.A.A. Razak, M.H.M. Ariff. Analysis of EMG Signals during Stance and Swing Phases for Controlling Magnetorheological Brake applications. Open Engineering, 11(1),pp. 112-119.
7	2020	N. Nazmi, H.F.S. Saipol, F. Yusof, N.A. Nordin, N. Johari, S.A. Mazlan, M.A.A. Rahman, and S.A.A. Aziz. Parameter Estimation of Extreme Rainfall Distribution in Johor Using Bayesian Markov Chain Monte Carlo. IOP Conference Series: Earth and Environmental Science 479 (1), 012019.
6	2020	M.K. Shabdin, M.A.A. Rahman, S.A. Mazlan, S.A.A. Aziz and N. Nazmi. Rheological behavior of graphite induced anisotropic magnetorheological elastomer (Gr-MRE). Lecture Notes in Mechanical Engineering, pp. 163-170.
5	2020	I. Bahiuddin, Abdul Y Abd Fatah, S.A. Mazlan, F. Imaduddin, M.H.M. Ariff, D.Utami and N. Nazmi. Extreme Learning Machine Based-Shear Stress Model of Magnetorheological Fluid for A Valve Design. Lecture Notes in Mechanical Engineering, pp. 275-284.
4	2018	N. Nazmi, M.A.A. Rahman, S.I Yamamoto, S.A. Ahmad and M.H.M. Arif. Generalization of ANN model in classifying stance and swing phases based on EMG signals. IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), Sarawak, Malaysia, pp. 461-466.
3	2016	N. Nazmi, S.I Yamamoto, M.A.A. Rahman, S.A. Ahmad, D. Adiputra, H. Zamzuri and S.A. Mazlan. Fuzzy logic for walking patterns based on surface electromyography signals with different membership functions. 6^th International Workshop on Computer Science and Engineering (WCSE 2016), Tokyo, Japan, pp. 636-639.
2	2015	N. Nazmi, M.A.A. Rahman, S.A. Mazlan and H. Zamzuri. Fitting Distribution for Electromyography and Electroencephalography Signals Based on Goodness-of-Fit Tests, IEEE International Symposium on Robotics and Intelligent Sensors (IRIS 2015), Langkawi, Malaysia. Procedia Computer Science, vol. 76, pp. 468-473.
1	2015	N. Nazmi, M.A.A. Rahman, S.A. Mazlan and H. Zamzuri, M. Mizukawa. Electromyography (EMG) based signal analysis for physiological device application in lower limb rehabilitation. 2^nd International Conference on Biomedical Engineering (IcoBE), Penang, Malaysia, pp. 75-82.

S.M.A. Tarmizi, N.A. Nordin, S.A. Mazlan, N. Mohamad, H.A. Rahman, S.A.A. Aziz, N. Nazmi and M.A Azmi. Incorporation of Cobalt Ferrite on the Field Dependent Performances of Magnetorheological Grease. Journals of Materials Sciences and Technology, 9(6):15566-15574.

N. Razuan, S.A. Mazlan, S.A.A. Aziz, Ubaidillah, S.A.A. Aziz, N. Nazmi and N.A Yunus. Enhancement of sensitivity of magnetostrictive foam in low magnetic fields for sensor application. Polymer, vol 211, 123083.

I.Bahiuddin, S. B. Wibowo; M Syairaji; J. T. Putra, P. Cahyo, A. F.Maulana, R. M. S. Prastica, N. Nazmi. A Systematic Approach to Predict The Behavior of Cough Droplets Using Feedforward Neural Networks Method. Fluids, 6(2),76.

D. Adiputra, M.A.A. Rahman, I. Bahiuddin, Ubaidillah and N. Nazmi. Sensor Number Optimization Using Neural Network for Ankle Foot Orthosis Equipped with Magnetorheological Brake. Open Engineering, 11(1),pp. 91-101.