Saralah Devi Mariamdaran Chethiyar | Smarter Analytics With Ai | Best Researcher Award

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Assoc. Prof. Dr. Saralah Devi Mariamdaran Chethiyar | Smarter Analytics With Ai | Best Researcher Award

Universiti Utara Malaysia | Malaysia

Prof. Madya Dr. Saralah Devi A/P Mariamdaran is an Associate Professor at the School of Applied Psychology, Social Work, and Policy, Universiti Utara Malaysia, specializing in counselling, psychology, and correctional science. She holds a Ph.D. in Correctional Counselling from Universiti Utara Malaysia, a Master’s in Counselling from Universiti Malaya, and a Bachelor’s degree with Honours in Industrial and Organisational Psychology from Universiti Malaysia Sabah. Her academic and professional experience spans counselling for children, adolescents, women, and prison inmates, with a focus on social psychology, violence, aggression, and psychotherapy. Dr. Saralah Devi has an extensive publication record in both national and international journals and has presented at numerous conferences, earning recognition for innovative teaching, research, and community engagement. She has received multiple awards including Best Innovative Research, Best Conference Presenter, and accolades from governmental and educational institutions for her contributions to education, research, and social development. Actively involved in professional associations such as PERKAMA and APECA, she also serves as a state judge for archery and is recognized for her social activism. Her work bridges academic research, applied psychology, and community development, reflecting a commitment to advancing mental health, counselling, and social well-being in diverse populations.

Profile : Google Scholar

Featured Publications

Asad, M., Chethiyar, S.D.M., & Ali, A. (2020). Total quality management, entrepreneurial orientation, and market orientation: Moderating effect of environment on performance of SMEs. Paradigms, 14(1), 102–108.

Chethiyar, S.D.M., Asad, M., Kamaluddin, M.R.U., Ali, A., & Sulaiman, M.A.B.A. (2019). Impact of information and communication overload syndrome on the performance of students. Opción: Revista de Ciencias Humanas y Sociales, 390–405.

Asad, M., Muhammad, R., Rasheed, N., Chethiyar, S.D., & Ali, A. (2020). Unveiling antecedents of organizational politics: An exploratory study on science and technology universities of Pakistan. International Journal of Advanced Science and Technology, 29(6s), 2057–2066.

Rathakrishnan, M., Raman, A., Haniffa, M.A.B., Mariamdaran, S.D., & Haron, A.B. (2018). The drill and practice application in teaching science for lower secondary students. International Journal of Education, Psychology and Counseling, 3(7), 100–108.

Kashif, M., Asif, M.U., Ali, A., Asad, M., Chethiyar, S.D.M., & Vedamanikam, M. (2020). Managing and implementing change successfully with respect to COVID-19: A way forward for SMEs. PEOPLE: International Journal of Social Sciences, 6(2), 609–624.

Hui Zhang |  Biosensing and Bioimaging | Best Researcher Award

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Dr. Hui Zhang |  Biosensing and Bioimaging | Best Researcher Award

Nanjing Forestry University | China

Dr Hui Zhang holds a Bachelor in Mechanical Manufacturing & Automation from Southeast University (2004-2008), a Master in Mechanical Design & Theory from Jiangnan University (2009-2012), and a Doctorate in Mechatronic Engineering from Southeast University (2013-2018) with a joint PhD period at the National University of Singapore (2014-2016). He is currently Assistant Professor (Lecturer) at Nanjing Forestry University (from December 2024), following his previous role as Assistant Researcher at Southeast University (May 2018-Nov 2024). His research centres on mechatronic engineering, with a strong emphasis on dielectric elastomer actuators, tunable lenses, soft electroactive materials, additive manufacturing of functional structures, and AI-augmented sensing and diagnostics. He has published extensively in SCI journals on topics including biomimetic human-eye adaptive lenses, 3D printed dielectric elastomers, tunable imaging systems, and machine-learning enabled defect detection. His current h-index is 11 with 45 papers and 418 citations. He has also contributed to monographs and conference proceedings in advanced manufacturing and smart devices. His work has been recognised for innovation in soft robotics and functional materials, and he continues to push the frontier of coupling mechanical design, materials science and intelligent systems in mechatronics.

Profile : Scopus

Featured Publications

Zhang, H.*, Zhu, J., Wen, H., Xia, Z., and Zhang, Z. (2023). “Biomimetic human eyes in adaptive lenses with conductive gels” in Journal of the Mechanical Behavior of Biomedical Materials, 139:105689. This work presents adaptive biomimetic lenses using conductive gels for vision systems inspired by the human eye, emphasizing improved optical tuning performance.

Zhang, H., Wen, H., Zhu, J., Xia, Z., and Zhang, Z.* (2023). “3D printing dielectric elastomers for advanced functional structures: A mini-review” in Journal of Applied Polymer Science, e55015. This review highlights emerging advances in 3D-printed dielectric elastomers with potential for flexible electronics and smart soft devices.

Zhang, H., Xia, Z., Zhang, Z., and Zhu, J. (2022). “Miniature and tunable high voltage-driven soft electroactive biconvex lenses for optical visual identification” in Journal of Micromechanics and Microengineering, 32(6):064004. The study develops compact electroactive soft lenses enabling tunable optical focusing for miniature imaging and identification applications.

Zhang, H.*, Dai, M., Xia, Z., and Zhang, Z. (2021). “Computational analyses for tunable solid lenses coupling polyacrylamide hydrogel electrodes” in Bulletin of Materials Science, 44(2):78. A computational approach is introduced to analyze hydrogel-based tunable solid lenses that enhance precision in optical deformation control.

Zhang, H.*, Li, Z., Xie, Y., Xia, Z., and Zhang, Z. (2021). “Focus-tunable imaging analyses of the liquid lens based on dielectric elastomer actuator” in Bulletin of Materials Science, 44(2):148. This research demonstrates a liquid-based dielectric elastomer lens with adjustable focusing capability to support compact imaging technologies.

International Research Data Analysis Excellence Awards | Award Winners 2023

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Arash Azadeh | Best Researcher Award Winner 2023  🏆

Arash Azadeh : Interdisciplinary Data Insights👨‍🎓

Congratulations to Arash Azadeh of Interdisciplinary Data Insights for being honored with the Best Researcher Award at the International Research Data Analysis Excellence Awards! 🏆 Your dedication to excellence in data analysis has truly set a benchmark for researchers worldwide. Cheers to your outstanding achievements and contributions to the field!

Professional profile

Early Academic Pursuits:

Arash Azadeh's academic journey commenced with an undergraduate degree in Civil Engineering from Ferdowsi University of Mashhad (FUM), Iran. He further pursued a Master's degree in Structural Engineering from FUM and later obtained a Ph.D. in Civil Engineering from the Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Brazil. Arash also pursued post-doctorate studies in Materials at the University of São Paulo (USP), Brazil.

Professional Endeavors:

Arash Azadeh's professional experience spans several roles, including serving as a Senior Structure Engineer in the offshore team at PetroPars Co. His responsibilities included overseeing structural documents issuance, construction supervision, and project coordination for offshore installations. Additionally, he worked as an Industrial Structures Designer at Poolad Co., contributing to the design of various industrial structures and substations.

Contributions and Research Focus:

Arash Azadeh has made significant contributions to the field of Civil Engineering, particularly in the area of bamboo research. His work is reflected in a series of journal articles and conference papers exploring topics such as bamboo shear test methods, bamboo densification effects, and the use of machine learning in bamboo phase quantification. His research emphasizes the influence of environmental factors, such as heat, on the mechanical properties of bamboo.

Accolades and Recognition:

Arash Azadeh's research has been recognized through numerous publications in reputable journals, including "Construction and Building Materials," "European Journal of Wood and Wood Products," and "Cellulose." His involvement in international conferences and workshops further demonstrates recognition within the academic community.

Impact and Influence:

Arash Azadeh's work in bamboo research has implications for sustainable construction materials. By investigating the mechanical properties of bamboo and its responses to environmental factors, his research contributes to the understanding of bamboo as a functional material in construction and engineering.

Legacy and Future Contributions:

As a researcher and educator, Arash Azadeh has shared his expertise through seminars, workshops, and lectures, both nationally and internationally. His research focus on non-conventional materials and sustainable development aligns with the evolving needs of the construction industry. Arash's legacy lies in his dedication to advancing knowledge in materials engineering and his potential to inspire future generations in the field.

In summary, Arash Azadeh's academic and professional journey reflects a commitment to research excellence, particularly in the innovative use of bamboo as a construction material, showcasing a blend of traditional and contemporary engineering principles.

notable publication:

An investigation of bamboo shear test methods and the influence of heat on bamboo shear strength
Experimental evaluation of load-induced cracking in moso bamboo tubes
An Investigation of Bamboo Shear Test Methods and the Influence of Heat on Bamboo Shear Strength
Bamboo phase quantification using thermogravimetric analysis: deconvolution and machine learning
The effect of densification on physical and mechanical properties of bamboo Dendrocalamus asper
The influence of heat on mechanical properties of Dendrocalamus giganteus bamboo
IMAGES PROCESSING-BASED PREDICTIVE MODELING FOR FIBERS DISTRIBUTION ALONG THE RADIAL DIRECTION IN BAMBOOS PHYLLOSTACHYS EDULIS AND DENDROCALAMUS GIGANTEUS