Assist Prof Dr. Maryam Ghiyasiyan-Arani | Authentic Leadership | Young Scientist Award

Assist Prof Dr. Maryam Ghiyasiyan-Arani | Authentic Leadership | Young Scientist Award

 

Tsinghua University, China

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🎓 Early Academic Pursuits

Maryam Ghiyasiyan-Arani began her academic journey with a Bachelor of Science in Pure Chemistry at Kashan University (2010-2014), where she demonstrated remarkable academic prowess, ranking 1st in her class with a GPA of 18.09/20. Following this success, she pursued a Master of Science in Nanoscience and Nanotechnology (Nanochemistry) at the same institution from 2014 to 2016, again ranking 1st in her class with an even higher GPA of 19.35/20. Her interest in nanotechnology and materials science became evident during her MSc studies, where her thesis focused on the synthesis, characterization, and investigation of nanomaterials like vanadates of metals such as Copper(II), Nickel(II), and Cobalt(II) for photocatalytic and optical properties.

Continuing her academic pursuit, she earned her Ph.D. in Nanoscience and Nanotechnology from Kashan University (2016-2020), where she once again ranked at the top of her class. Her doctoral research explored the electrochemical performance of lithium-ion batteries (LIBs) and hydrogen storage materials, particularly focusing on vanadate, niobate, and spinel nanostructures. Her Ph.D. work was supported by industrial collaborations with the Power Energy Organization and Saba Battery Company, indicating her work’s relevance to real-world energy applications.

🧑‍🔬 Professional Endeavors

Dr. Ghiyasiyan-Arani is currently a faculty member at the Institute of Nanoscience and Nanotechnology, University of Kashan, where she continues her research and mentorship in nanotechnology. Her career is marked by an impressive array of projects focusing on nanomaterials for energy storage, particularly hydrogen storage and lithium-ion batteries. She has been involved in several research projects, including the synthesis of active materials for energy storage, investigation of clay as a hydrogen storage material, and the design of separators for lithium-ion batteries.

Beyond her academic roles, she is a member of several prestigious organizations, including the Iran Nanotechnology Initiative Council (INIC), Young Research and Elite Club, and Iran’s National Elites Foundation, reflecting her recognition as a leading figure in nanoscience.

🔬 Contributions and Research Focus

Dr. Ghiyasiyan-Arani has made significant contributions to the field of nanotechnology, with a strong focus on energy storage materials and environmental applications. Her research interests include:

Synthesis and Characterization of Nanomaterials: She specializes in creating nanomaterials with different morphologies using various chemical methods like precipitation, sonochemistry, microwave, hydrothermal, and sol-gel synthesis.
Electrochemical Hydrogen Storage: A major focus of her work involves improving the capacity of nanomaterials for hydrogen storage, a crucial area for clean energy technologies.
Lithium-Ion Batteries: Her work on LIBs extends to synthesizing active materials (both cathode and anode), designing battery separators, and studying the electrochemical properties of batteries through techniques like impedance spectrometry, galvanostatic charge-discharge, and cyclic voltammetry.
Water Treatment: She is also exploring photocatalytic activities of nanomaterials for water treatment, indicating her focus on environmental sustainability.

🏅 Accolades and Recognition

Dr. Ghiyasiyan-Arani has earned numerous accolades throughout her career. Some notable recognitions include:

Stanford University Top 2% Scientists Worldwide: She was listed among the Top 2% Scientists Worldwide in 2022 and 2023 by Stanford University, highlighting the global impact of her work.
Reviewer of Prestigious Journals: She serves as a reviewer for several ISI-indexed journals like Ultrasonics Sonochemistry, Journal of Alloys and Compounds, International Journal of Hydrogen Energy, and Nanoscale Advances, which reflects her expertise and standing in the academic community.
Reviewer for International Congress on Nanoscience and Nanotechnology: She has also reviewed work for major conferences such as the 7th International Congress on Nanoscience and Nanotechnology (ICNN2018), further contributing to the growth of nanoscience.

🌍 Impact and Influence

Dr. Ghiyasiyan-Arani’s work is particularly impactful in the field of clean energy. Her focus on hydrogen storage materials and lithium-ion batteries positions her research at the forefront of the global push towards sustainable energy solutions. Her publications on electrochemical hydrogen storage and battery materials have added significant insights to the scientific community, advancing the development of more efficient and environmentally friendly energy storage technologies.

Additionally, her contributions to photocatalytic water treatment show her dedication to addressing environmental issues, particularly in developing sustainable methods for cleaning water, a critical resource in a world facing climate change.

🏛️ Legacy and Future Contributions

Dr. Maryam Ghiyasiyan-Arani is poised to leave a lasting legacy in the fields of nanotechnology and energy storage. As a leading researcher in Iran and a globally recognized scientist, her continued work will likely contribute to critical advancements in renewable energy technologies and environmental sustainability. With her ongoing involvement in academia and collaborations with industrial partners, her future contributions are expected to further bridge the gap between fundamental research and practical, real-world applications.

In the coming years, she is likely to make strides in developing next-generation energy storage systems and green technologies, contributing to global efforts to combat climate change and reduce reliance on fossil fuels. Her innovative approaches to nanomaterial synthesis and energy storage position her as a key player in the ongoing evolution of sustainable energy solutions.

📝Notable Publications

Assist Prof Dr. Tipajin Thaipisutikul | Innovative Leadership |Best Researcher Award | 3184

Assist Prof Dr. Tipajin Thaipisutikul | Innovative Leadership |Best Researcher Award

Mahidol University, Thailand 

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Early Academic Pursuits 🎓

Dr. Tipajin Thaipisutikul’s academic journey began at Mahidol University, Thailand, where he earned his Bachelor of Science in Information and Communication Technology in 2010 with First Class Honours. His senior project, “VAPO,” a Voice Activated Personal Organizer, showcased his early interest in innovative technology and garnered significant attention. He continued his studies at The University of Sydney, Australia, completing a Master of Information Technology in 2012, specializing in Computer Networks. His thesis, “mSpeed,” involved crowdsourcing measurements on cellular networks, reflecting his growing expertise in data collection and analysis.

Dr. Thaipisutikul’s pursuit of excellence led him to National Central University, Taiwan, where he earned his Ph.D. in Computer Science in 2021. His doctoral research, “A Novel Deep Sequential Recommendation Model Based on Contextual Information,” explored deep learning models for recommendation systems, setting the stage for his future contributions to the field of artificial intelligence.

Professional Endeavors 🌟

Dr. Thaipisutikul has made substantial strides in academia and industry. As the Assistant Dean for Academic Services and Technology Transfer at Mahidol University’s Faculty of ICT, he has been instrumental in advancing educational programs and fostering technology transfer initiatives. His role involves instructing a variety of courses, including Advanced Programming and the Fundamentals of Programming in Python and C.

His career also includes significant teaching and research roles at Yuan Ze University in Taiwan and various faculties within Mahidol University. Dr. Thaipisutikul has provided guest lectures on cutting-edge topics such as Generative AI and Deep Learning, further establishing his reputation as a thought leader in the field.

Contributions and Research Focus 🔬

Dr. Thaipisutikul’s research focus encompasses Sequence Learning, Deep Learning, Applied Intelligence, and Recommender Systems. His work has led to several influential publications in prestigious journals, including:

  • “Automatic Detection of Nostril and Key Markers in Images” (2024) in Intelligent Systems with Applications.
  • “Forecasting National-Level Self-Harm Trends with Social Networks” (2023) in IEEE Access.
  • “Multi-hop Video Super Resolution with Long-Term Consistency (MVSRGAN)” (2023) in Multimedia Tools and Applications.
  • “An Improved Deep Sequential Model for Context-Aware POI Recommendation” (2023) in Multimedia Tools and Applications.

Dr. Thaipisutikul’s research integrates deep learning techniques with practical applications, significantly advancing the capabilities of recommendation systems and contextual information processing.

Accolades and Recognition 🏆

Dr. Thaipisutikul’s contributions have been recognized through numerous awards:

  • Best Paper Award at The 5th International Conference on Information Technology (2020) for “HandKey: An Efficient Hand Typing Recognition Using CNN for Virtual Keyboard.”
  • Excellent Paper Award and Best Paper Award at the International Conference on Ubi-Media Computing (2018, 2019).
  • Best Presentation Award at the 10th International Workshop on Advanced E-Learning (2017).

These accolades reflect his impact on the field and his ability to contribute innovative solutions to complex problems.

Impact and Influence 🌐

Dr. Thaipisutikul’s work has made significant impacts on both academic and practical fronts. His research has advanced the state-of-the-art in deep learning and recommendation systems, influencing how intelligent systems are developed and applied in various industries. His teaching and training initiatives, including specialized courses on Python Programming and AI, have equipped students and professionals with the skills needed to excel in a rapidly evolving technological landscape.

Legacy and Future Contributions 🌟

Looking forward, Dr. Thaipisutikul aims to further his research in sequence learning and deep learning applications, exploring new frontiers in artificial intelligence and machine learning. His ongoing projects and collaborations are expected to yield innovative solutions and contribute to the advancement of technology in diverse fields.

His legacy is marked by a commitment to academic excellence, innovation, and the application of advanced technologies to solve real-world problems. As he continues to mentor the next generation of researchers and professionals, Dr. Thaipisutikul’s influence on the field of computer science and information technology is poised to grow, shaping the future of artificial intelligence and applied intelligence.

Notable Publications 

“A collaborative filtering recommendation system with dynamic time decay”

Authors: YC Chen, L Hui, T Thaipisutikul

Journal: The Journal of Supercomputing

Volume: 77

Issue: 1

Pages: 244-262

Year: 2020

“A Learning-Based POI Recommendation With Spatiotemporal Context Awareness”

Authors: YC Chen, T Thaipisutikul, TK Shih

Journal: IEEE Transactions on Cybernetics

Volume: 46

Issue: 5

Pages: 1185-1196

Year: 2020

“Feature Line Embedding Based on Support Vector Machine for Hyperspectral Image Classification”

Authors: YN Chen, T Thaipisutikul, CC Han, TJ Liu, KC Fan

Journal: Remote Sensing

Volume: 13

Issue: 1

Pages: 130

Year: 2021

“DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction”

Authors: S Tuarob, P Wettayakorn, P Phetchai, S Traivijitkhun, S Lim, T Noraset, …

Journal: Financial Innovation

Volume: 7

Issue: 1

Pages: 1-32

Year: 2021

“MDPrePost-Net: A Spatial-Spectral-Temporal Fully Convolutional Network for Mapping of Mangrove Degradation Affected by Hurricane Irma 2017 Using Sentinel-2 Data”

Authors: I Jamaluddin, T Thaipisutikul, YN Chen, CH Chuang, CL Hu

Journal: Remote Sensing

Volume: 13

Issue: 24

Pages: 5042

Year: 2021