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

Dr. Balaji Ayyanar C | Innovative Leadership | Best Researcher Award

Dr. Balaji Ayyanar C | Innovative Leadership | Best Researcher Award

Coimbatore Institute of Technology, India

🔗 Professional Profiles

📘 Dr. C. Balaji Ayyanar: Pioneering Researcher in Polymer and Bio Composites

Dr. C. Balaji Ayyanar is a distinguished Assistant Professor in the Mechanical Engineering Department at Coimbatore Institute of Technology (CIT), with extensive expertise in polymer and bio composites. His academic journey is marked by a Ph.D. in Mechanical Engineering (Biopolymer Composites) obtained in 2021 from Anna University (Coimbatore Institute of Technology). Dr. Ayyanar also holds a Master’s degree in Mechanical Engineering (Computer Aided Design) from Anna University (Government College of Engineering, Salem) and a Bachelor’s degree in Mechanical Engineering from Anna University (S. R. M. Engineering College, Chennai).

🎓 Educational Background

  • Ph.D. in Mechanical Engineering (Biopolymer Composites, 2021) from Coimbatore Institute of Technology, Anna University.
    • Thesis: “An Investigation on Surface Morphology, Thermal Stability, Mechanical Characterization, and In-Vitro Studies of the Natural Particulates Filled Biopolymer Composites.”
  • Master’s Degree in Mechanical Engineering (Computer Aided Design, 2008) from Government College of Engineering, Salem, Anna University.
  • Bachelor’s Degree in Mechanical Engineering (2006) from S. R. M. Engineering College, Chennai, Anna University.

🏫 Professional Experience

  • Assistant Professor, Coimbatore Institute of Technology, Coimbatore (April 2014 – Present)
    • Programme Officer, NSS (August 2016 – 2022)
    • In charge of Advanced Manufacturing Technology (AMT) Laboratory (June 2018 – Present)
  • Assistant Professor, Vel Tech Multi Tech Dr. R.R & Dr. SR Engineering College, Avadi, Chennai (June 2012 – May 2014)
  • Senior Research Fellow (SRF), Combat Vehicle Research and Development Establishment (DRDO, Ministry of Defence), Avadi, Chennai (June 2009 – May 2012)
  • Lecturer, Bannari Amman Institute of Technology, Sathyamangalam, Erode (July 2008 – May 2009)

🛠️ Areas of Expertise

  • 2D & 3D Modeling
  • Design of Machine Elements
  • Design of Transmission Systems
  • Polymer Composites
  • Sandwich Composites
  • Bio Composites
  • Bio Membrane
  • Thin Film
  • Drug Delivery and Drug Kinetics
  • Structural, Mechanical, In-vitro, and In-vivo Characterizations
  • Development of Denture and Molding Machines
  • Finite Element Analysis (FEA)

💻 Software Proficiency

  • AutoCAD
  • ProE
  • Ansys
  • SolidWorks
  • IDEAS
  • Unigraphics

📜 Publications and Patents

Dr. Ayyanar has an impressive portfolio of 21 publications in international journals, 4 book chapters, and 25 conference papers. He has also been granted 4 design patents and filed three additional patents.

📚 Selected Publications

  1. 21 international journal publications
  2. 4 book chapters
  3. 25 conference papers

🏅 Awards and Recognitions

  • Best Paper Award: “Fabrication and Characterization of Natural Fillers Loaded HDPE Composites for Commercial Applications” at the International Online Conference on Natural Fiber Composites (NFC 2022).
  • Gift Voucher $150: “In-vitro and In-vivo Characterization of Thin Film” at Polymer Technology Connect Conference (2023).
  • Best Paper Award: “Investigation of Wound Healing Efficacy of Plant Extracts Loaded Carboxymethylcellulose Film” at the International Conference on Emerging Advanced Materials (ICEAM-2024).

🏷️ Patents

  1. Indian Design Patent: Mould for Plastic Specimen Preparation (Design No. 383399-001, April 9, 2023)
  2. UK Design Patent: Denture Dies (Design No. 6355237, May 8, 2024)
  3. UK Design Patent: Polymer Composites Bolt Mold Die Set (Design No. 6346247, May 14, 2024)
  4. UK Design Patent: Bevel Gear Mold Die Set (Design No. 6346246, May 15, 2024)

🌟 Conclusion

Dr. C. Balaji Ayyanar is a notable figure in the field of Mechanical Engineering, with a significant focus on polymer and bio composites. His blend of academic prowess and practical experience in both teaching and research makes him a valuable contributor to the field, impacting both industry and academia.

Publication Top Noted

 Paper Title: Electrospinning of Biomedical Nanofibers/Nanomembranes: Effects of Process Parameters

  • Authors: Md Enamul Hoque Balaji Ayyanar Chinnappan, Marimuthu Krishnaswamy, Huaizhong Xu
  • Journal: Polymers
  • Year: 2022
  • Citations: 61

 Paper Title: Characterization and in vitro cytotoxicity evaluation of fish scale and seashell derived nano-hydroxyapatite high-density polyethylene composite

  • Authors: Md Enamul Hoque Balaji Ayyanar Chinnappan, Marimuthu Krishnaswamy, Huaizhong Xu
  • Journal: Polymers and Polymer Composites
  • Year: 2021
  • Citations: 25

 Paper Title: Investigation on the morphology, thermal properties, and in vitro cytotoxicity of the fish scale particulates filled high-density polyethylene composite

  • Authors: C Balaji Ayyanar and K Marimuthu
  • Journal: Polymers and Polymer Composites
  • Year: 2019
  • Citations: 22

Paper Title: Design, fabrication, and characterization of natural fillersloaded HDPE composites for domestic applications

  • Authors: Suchart Siengchin C. Balaji Ayyanar, M. Dhivyya Dharshinii, K. Marimuthu, S. Akhil, T. Mugilan, C. Bharathiraj, Sanjay Mavinkere Rangappa, Anish Khan
  • Journal: Polymer Composites
  • Year: 2022
  • Citations: 16

Paper Title: In-vitro cytotoxicity of zinc oxide, graphene oxide, and calcium carbonate nano particulates reinforced high-density polyethylene composite

  • Authors: Sankar Rajan, K Marimuthu, C Balaji Ayyanar, Anish Khan, Suchart Siengchin, Sanjay Mavinkere Rangappa
  • Journal: Journal of Materials Research and Technology
  • Year: 2022
  • Citations: 14