publications

articles in refereed journals

in preparation

articles in conference proceedings

in preparation

in previous groups

ARTICLES IN REFEREED JOURNALS

1. Song, K.-Y.*, Zhang, W.-J., and Behzadfar, M. (2024), 3D printing redefines microneedle fabrication for transdermal drug delivery,  Biomedical Engineering Letters, 14, 737–746.  

2. Han, Y., Lu, Q., Xie, J., Song, K.-Y.*, and Luo, D. (2024), 3D printable magnetic microfibers: Development and characterization for 4D printing, 3D Printing and Additive Manufacturing, 11(2), e638-e654.

3. Lu, Q., Feng, Y., Song, K.-Y.*, and Zhang, W.-J. (2023), 3D printable micro/macro dual driving multipede millirobot and its characterization for multi-locomotory modes, IEEE/ASME Transactions on Mechatronics, 28(6), 3492-3501.

4. Feng, Y.*, Rao, Z., Song, K.-Y., Tang, X., Zhou, Z., and Xiong, Y. (2022), Understanding the role of soft X-rays in charging solid-film and cellular electrets, Nanomaterials, 12(23), 4143.

5. Pentinmikko, N., Lozano, R., Scharaw, S., Andersson, S., Englund, J.I., Broberg, M., Song, K.-Y., Speidel, A.T., Sundstrom, M., Allbritton, N., Stevens, M.M., Teixeira, A., and Katajisto, P.* (2022), Cellular shape reinforces niche to stem cell signaling in the small intestine, Science Advances, 8(41), 1847. 

6. Song, K.-Y., Behzadfar, M., and Zhang, W.-J.* (2022), A dynamic pole motion approach for control of nonlinear hybrid soft legs: a preliminary study, Machines, 10(10), 875. 

7. Song, K.-Y., Correia, C., Ruas, J.L., and Teixeira, A.I.* (2021), Effects of topological constraints on the alignment and maturation of multinucleated myotubes, Biotechnology and Bioengineering, 118(6), 2234-2242. 

8. Xiao, Z., Song, K.-Y.*, and Gupta, M.M. (2021), Development of a CNN edge detection model of noised X-ray images for enhanced performance of non-destructive testing, Measurement, 174, 109012

9. Lu, Q., Song, K.-Y.*, Feng, Y., and Xie, J. (2021), Fabrication of suspended uniform polymer microfibers by FDM 3D printing, CIRP Journal of Manufacturing Science and Technology, 32, 179-187.

10. Zhu, J., Wang, M., Zhang, H., Yang, S., Song, K.-Y., Yin, R., and Zhang, W.-J.* (2020), Effects of Hydrophilicity, Adhesion Work, and Fluid Flow on Biofilm Formation of PDMS in Microfluidic Systems, ACS Applied BioMaterial, 3(12), 8386-8394.

11. Lei, L., Zhang, H., Bergstrom, D. J., Anthony, T., Song, K.-Y., and Zhang, W.-J.* (2020), Experimental and simulation study of flow patterns in the combined flow focusing and T-junction device, Journal of Micromechanics and Microengineering, 30(5), 055001. 

12. Song, K.-Y.*, Zhang, H., Zhang, W.-J., and Teixeira, A.I.* (2018), Enhancement of the surface free energy of PDMS for reversible and leakage-free bonding of PDMS–PS microfluidic cell-culture systems, Microfluidics and Nanofluidics, 22 (11), 135. 

13. Lei, L., Bergstrom, D.J., Zhang, B., Zhang, H., Yin, R., Song, K.-Y., and Zhang, W.J.* (2017), Micro/Nanospheres Generation by Fluid-Fluid Interaction Technology: A Literature Review, Recent Patents on Nanotechnology, vol.10, pp. 1-19.

14. Song, K.‐Y., Morimoto, K., Chen, Y.-C., and Suzuki, Y.* (2016), Electrostatic Instability of Liquid Droplets on MEMS-Based Pillared Surfaces, Sensors and Actuators B: Chemical, vol.225, pp. 492-497.

15. Song, K.‐Y., Seniuk, G.T.G, Kozinski, J.A., Zhang, W.J., and Gupta, M.M.* (2015), An Innovative Fuzzy-Neural Decision Analyzer for Qualitative Group Decision Making, International Journal of Information Technology & Decision Making, vol.14(3), pp. 659-696.

16. Lei, L., Zhang, H., Bergstrom, D.J., Zhang, B., Song, K.-Y., and Zhang, W.J.* (2015), Modeling and Validation of Microspheres Generation in the Modified T-Junction Device, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, vol.9(5), pp. 748-752.

17. Song, K.‐Y. and Zhang, W.J.* (2013), Review: Application of Nanofluids to Microsphere Generation using MEMS Technology, Recent Patents on Nanotechnology, vol.7(2), pp. 133-152.

18. Chakra, C.N., Song, K.-Y., Saraf, D. N., and Gupta, M.M.* (2013), Production Forecasting of Petroleum Reservoir applying Higher-Order Neural Networks (HONN) with Limited Reservoir Data, International Journal of Computer Applications, vol.72(2), pp. 23-35.

19. Cheng, W.-B., Song, K.-Y., Zhang, Z.-M., Moser, M.A.J., Luo, W.-L., Qian, Z.-Q., Kanagaratnam, S., and Zhang, W.-J.* (2013), Kinematic Model of Colonoscope and Experimental Validation, Journal of Medical and Biological Engineering, vol.33(3), pp. 337-342.

20. Tiwari, M.K., Song, K.‐Y., Chatterjee, C., and Gupta, M.M.* (2013), Improving Reliability of River Flow Forecasting using Neural Networks and Self Organising Maps (SOMs), Journal of Hydroinformatics, vol.15(2), pp. 486-502.

21. Chakra, C.N., Song, K.-Y., Saraf, D. N., and Gupta, M.M.* (2013), An Innovative Neural Forecast of Cumulative oil Production from Petroleum Reservoir employing Higher-Order Neural Networks (HONNs), Journal of Petroleum Science and Engineering, vol.106, pp. 18-33.

22. Song, K.‐Y. and Zhang, W.J.* (2013), Design of a Microchannel System using Axiomatic Design Theory for Size‐Controllable and Monodispersed Microspheres by Enhanced Perturbation, The International Journal of Advanced Manufacturing Technology, vol.64(5), pp. 769-779.

23. Song, K.‐Y., Zhang, W.J., and Gupta, M.M.* (2012), Size-Controllable Monodispersed Microsphere Generation by Liquid Chopper Utilizing PZT Actuator, Journal of Microelectromechanical Systems, vol.22(1), pp. 147-151.

24. Song, K.‐Y., Zhang, W.J., and Gupta, M.M.* (2012), Application of Axiomatic Design Theory to a Microfluidic Device for the Production of Uniform Water-in-Oil Microspheres Adapting an Integration Method, ASME Journal of Manufacturing Science and Engineering, vol.134(4), pp. 044504-5.

25. Song, K.-Y., Kozinski, J., Seniuk, G.T.G., and Gupta, M.M.* (2012), Excluded-Mean-Variance Neural Decision Analyzer for Qualitative Group Decision Making, Advances in Fuzzy Systems, vol.2012(2012), pp. 1-10.

26. Tiwari, M.K., Song, K.‐Y., Chatterjee, C., and Gupta, M.M.* (2012), River-Flow Forecasting Using Higher-Order Neural Networks, Journal of Hydrologic Engineering, vol.16(5), pp. 655-666.

27. Song, K.‐Y., Zhang, W.J., and Gupta, M.M.* (2011), Incorporation of Axiomatic Design Theory into Design of a Microchannel System for Uniform and Size-controllable Microspheres, The International Journal of Advanced Manufacturing Technology, vol.57(5-8), pp. 491-499.

28. Song, K.‐Y., Gupta, M.M.*, and Homma, N. (2011), Design of an Error‐Based Adaptive Controller for a Flexible Robot Arm using Dynamic Pole Motion Approach, Journal of Robotics, vol.2011(2011), pp. 1-9.

29. Song, K.‐Y., Zhang, W.J., and Gupta, M.M.* (2011), A Conceptual Microchannel System Design Methodology incorporating Axiomatic Design theory for Size‐controllable Monodispersed Microsphere Generation by a Liquid Chopper utilizing a PZT Actuator, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol.225(8), pp. 1363-1375.

30. Song, K.‐Y., Chiao, M., Stoeber, B., Hafeli, U., Gupta, M.M., and Zhang, W.J.* (2009), Formation of Uniform Microspheres Using a Perforated Silicon Membrane: A Preliminary Study, ASME Journal of Medical Devices, vol.3(3), pp. 034503-3.

31. Song, K.‐Y., Hafeli, U., Stoeber, B., Chiao, M., and Zhang, W.J.* (2008), On Formation of Uniform Microspheres for Drug Delivery Using a Perforated Silicon Membrane: A Preliminary Study, ASME Journal of Medical Devices, vol.2(2), p. 027533-1. (abstract)

32. Hou, Z.G., Song, K.‐Y., Gupta, M.M.*, and Tan, M. (2007), Neural Units with Higher‐Order Synaptic Operations for Robotic Image Processing Applications, Soft Computing, vol.11(3), pp. 221-228.

ARTICLES IN INTERNATIONAL CONFERENCE PROCEEDINGS

1. Behzadfar, M. and Song, K.-Y.* (2024), Innovative design for enhanced adaptability and performance of soft inchworm robot, at the 4th International Conference on Computer, Control and Robotics (ICCCR 2024), Shanghai, China (Oral presentation) (awarded for the best oral presentation).

2. Yu, Z., Xie, J., Lu, Z., and Song, K.-Y.* (2023), Investigating Mechanical Properties of 3D-Printed Grid Scaffolds for Orthopedic Applications, at the 12th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2023), Macao, China (Oral presentation)

3. Xie, Y.-S., Han, Y., and Song, K.-Y.* (2022), Development  of a 3D Printed Origami Robotic Arm Inspired by Elephant Trunk, at 2022 IEEE 9th International Conference on Industrial Engineering and Applications (ICIEA 2022), Sanya, China (Oral presentation) (awarded for the best oral presentation).

4. Lu, Q., Behzadfar, M., Zhao, F., Song, K.-Y.*, and Feng, Y. (2021), Bioinspiration to Robot Locomotion Implementing 3D Printed Foxtail Grass, at 2021 IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO 2021), Sanya, China, pp. 69-73. (Oral presentation).

5. Lu, Q., Song, K.-Y.*, and Feng, Y. (2021), Object Manipulation with Freestanding Magnetic Microfibers Fabricated by FDM 3D Printing,  at the 16th IEEE International Conference on Nano/Micro Engineered & Molecular Systems (IEEE-NEMS 2021), Xiamen, China, pp. 1332-1336. (Oral presentation).

6. Song, K.-Y.*, Correia, J., Ruas, G. L., and Teixeira, A. I. (2019), Influence of topological constraints on differentiation and alignment of multinucleated myotubes, at the 23rd International Conference on Miniaturized Systems for Chemistry and Life Science (MicroTAS 2019), Basel, Switzerland, pp. 207-208. (Oral presentation).

7. Chen, Y.-C., Song, K.‐Y., Morimoto, K., and Suzuki, Y.* (2015), Liquid-Tolerant Electret Using Super-Lyophobic Pillar Surface, in the 28th IEEE International Conference on Micro Electro Mechanical Systems (MEMS'15), Estoril, Portugal, pp. 1086-1089.

8. Song, K.‐Y., Morimoto, K., and Suzuki, Y.* (2014), Investigation of Cassie-to-Wenzel Transition of Liquid Droplets on MEMS-based Pillared Surface, in the 7th Asia-Pacific Conference on Transducers and Micro/Nano Technologies (APCOT 2014), Daegu, Korea, pp. 1-2.

9. Zhao, R.J., Tao, X., Song, K.-Y., Zhang, H.B, and Zhang, W.J.* (2014), Innovative Microfluidic Perfusion Cell Culture System Employing 3D Templates for Soft Tissue Engineering, in the 5th International Conference of the Chinese Society of Micro-Nano Technology (CSMNT 2014), Chengdu, China, pp. 1-2.

10. Song, K.‐Y. and Gupta, M.M.* (2013), Delphi-Neural Approach to Clinical Decision Making: A Preliminary Study, in the 3rd Annual World Conference on Soft Computing (WCSC 2013), San Antonio, TX, USA, pp. 1-8.

11. Song, K.‐Y., Seniuk, G.T., and Gupta, M.M.* (2013), An Innovative Process for Qualitative Group Decision Making employing Fuzzy-Neural Decision Analyzer, in the 3rd Annual World Conference on Soft Computing (WCSC 2013), San Antonio, TX, USA, pp. 1-8.

12. Song, K.‐Y., Morimoto, K., and Suzuki, Y.* (2013), New Mathematical Model for Electrostatic Stability of the Cassie State on MEMS-based Pillared Surface, in the 17th International Conference on Miniaturized Systems for Chemistry and Life Science (MicroTAS 2013), Freiburg, Germany, pp. 1-4.

13. Gupta, M.M.* and Song, K.‐Y. (2012), An Innovative Approach for the Stability and Design of Neuro‐Controllers for Nonlinear Systems, in the World Automation Congress (WAC 2012), Puerto Vallarta, Mexico, pp. 1-6.

14. Song, K.‐Y., Gupta, M.M.*, and Zhang, W.J. (2011), On the Robust Controller for Dynamic Systems using Some Fuzzy Design Features, in the World Conference on Soft Computing (WConSC 2011), San Francisco, CA, USA, pp. 1-6.

15. Song, K.‐Y., Gupta, M.M., and Kozinski, J.* (2011), An Innovative Neural Approach for the Diagnosis of Breast Cancer, in the 4th International Conference on Data Management (ICDM 2011), IMT, Ghaziabad, India, pp. 1-8.

16. Song, K.‐Y., Gupta, M.M.*, and Zhang, W.J. (2010), Some New Notions in the Stability Investigations and Design of Controllers for Nonlinear Systems, in the International Conference on Industrial Electronics, Control & Robotics (IECR 2010), Rourkela, India, pp. 106-113.

17. Song, K.‐Y., Gupta, M.M.*, Jena, D., and Subudhi, B. (2009), Design of a Robust Neuro-Controller for Complex Dynamic Systems, in the Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS 2009), Cincinnati, OH, USA, pp. 1-5.

18. Song, K.‐Y., Gupta, M.M.*, and Jena, D. (2009), Design of an Error-based Robust Adaptive Controller, in IEEE International Conference on Systems, Man and Cybernetics (SMC 2009), San Antonio, TX, USA, pp. 2386-2390.

19. Song, K.‐Y., Zhang, W.J., and Gupta, M.M.* (2009), Uniform Microsphere Formation by Liquid Choppers Utilizing PZT Actuator: Theoretical and Simulation Study, in the 3rd International Conference on Bioinformatics and Biomedical Engineering (ICBBE 2009), Beijing, China, pp. 1-4.

20. Song, K.‐Y., Zhang, W.J., and Gupta, M.M.* (2008), Uniform Microdroplet Formation by Enhanced Instability Utilizing a PZT Actuator: A Theoretical and Simulation Study, in the 3rd International Symposium on Biomedical Engineering (ISBME 2008), Bangkok, Thailand, pp. 338‐343.

21. Hou, Z.G., Song, K.‐Y., and Gupta, M.M.* (2004), Higher‐Order Neural Units for Image Processing and Their Applications to Robot Routing Problems, in Proceedings of the 6th International FLINS Conference (FLINS 2004), Blankenberge, Belgium, pp. 13-18.

22. Redlapalli, S., Gupta, M.M.*, and Song, K.‐Y. (2003), Development of Quadratic Neural Unit with Applications to Pattern Classification, in the Fourth International Symposium on Uncertainty Modeling and Analysis (ISUMA 2003), College Park, MD, USA, pp. 141-146.

23. Song, K.‐Y., Redlapalli, S., and Gupta, M.M.* (2003), Cubic Neural Unit for Control Applications, in the Fourth International Symposium on Uncertainty Modeling and Analysis (ISUMA 2003) , College Park, MD, USA, pp. 324-329. 

ARTICLES IN DOMESTIC CONFERENCES

1. Tao, X., Song, K.-Y., Zhang, H.B, and Zhang, W.J.* (2014), Development of Self-Sensing Biomaterial for Tissue Engineering Applications, in the 26th Canadian Materials Science Conference (CMSC 2014), Saskatoon, SK, Canada, p.61.

2. Song, K.‐Y., Morimoto, K., and Suzuki, Y.* (2013), Effect of the Pitch in Superhydrophobic Surface with MEMS-based Pillared Structure, in the 50th Japan Heat Transfer Symposium, Sendai, Japan, pp. 550-551.