Assoc. Prof. Dr. Farhana Sarker began her academic journey with a Bachelor of Science in Computer Science and Engineering from Darul Ihsan University, Dhaka, Bangladesh (2000–2004), where she consistently demonstrated academic excellence and earned a place on the Dean’s List of Honor. Her outstanding undergraduate performance earned her several prestigious scholarships, including an undergraduate scholarship and district-level talent pool awards. Driven by a passion for technology and innovation, she went on to pursue her Ph.D. in Computer Science at the School of Electronics and Computer Science, University of Southampton, UK (2009–2014), supported by the prestigious EPSRC Ph.D. Scholarship.

 Professional Endeavors

Dr. Sarker brings rich professional experience from both academia and industry. She has worked extensively in the software and telecom industries and played vital roles in national ICT initiatives. Notably, she collaborated with the Information and Communication Technology (ICT) Division of the Government of Bangladesh in various policy-making capacities. Her leadership extended into academia where she led key Outcome-Based Education (OBE) initiatives at several universities, including Independent University, Bangladesh (IUB) and Southeast University (SEU). She has also held significant committee roles at the University of Liberal Arts Bangladesh (ULAB), contributing to admissions, curriculum, quality assurance, and harassment prevention.

 Contributions and Research Focus

Dr. Sarker’s research is positioned at the intersection of AI, data analytics, healthcare, and education. Her active involvement in high-impact, grant-funded projects showcases her commitment to leveraging technology for social good. Some notable research projects include Susastho.AI (an AI solution for sexual, reproductive, and mental health backed by the Bill and Melinda Gates Foundation), AIMScribe (an intelligent medical scribe), and Deep-Depression (a BCI system to identify depression). She has also explored the integration of augmented reality for autism education, neuromarketing using Brain-Computer Interface and eye-tracking, and digital inclusion in agriculture and disability support. Across these projects, she has served as a Co-Investigator or Principal Consultant, often securing substantial national and international funding.

 Impact and Influence

Dr. Sarker’s influence is reflected in her ongoing participation in global academic and scientific communities. She has served as a session chair, steering committee member, and technical program secretary in reputed IEEE conferences like ICCIT, MIET, and BECITHCON. Her leadership in AI4GH (Artificial Intelligence for Global Health) and her frequent involvement with ICT ministry-backed projects have made her a strong voice in shaping Bangladesh’s digital transformation agenda. Additionally, her co-founding of CMED Health, a digital health platform, showcases her entrepreneurial mindset and dedication to real-world impact.

Academic Cites & Recognitions

Dr. Sarker has been consistently featured in the AD Scientific Index Rankings from 2021 to 2024, a testament to her research productivity and impact. Her scholarly contributions have earned her prestigious recognitions including the Distinguished Research Scholarship from King Saud University and multiple performance awards during her time in industry and academia.

 Technical Skills

• Structured & Object-Oriented Programming

• System Analysis & Design

• Automata Theory, Data Structures, and Algorithms

• Computer Networks & Fundamentals

• Artificial Intelligence, Machine Learning, and Data Analytics

• Data Science Applications in Healthcare and Education

Teaching Experience

With a passion for education, Dr. Sarker has taught and mentored hundreds of students in diverse areas of Computer Science. Her core teaching subjects include programming, system design, theoretical computer science, and networking, reflecting her broad academic repertoire. She has also contributed to curriculum development, question moderation, and quality assurance at department levels across multiple institutions.

 Legacy and Future Contributions

As a thought leader, Dr. Farhana Sarker is committed to fostering interdisciplinary research and technological innovation for public benefit. She envisions a future where AI-driven solutions play a pivotal role in transforming healthcare accessibility, inclusive education, and social well-being in developing nations. Through her mentorship, leadership in OBE committees, and proactive engagement in funded research, she is nurturing the next generation of computer scientists and technologists. Her legacy is one of visionary academic stewardship and impactful research with tangible societal benefits.

Dr. JianBang Liu embarked on his academic journey with a Master’s degree from Qilu University of Technology (Shandong Academy of Sciences), China, in 2018. His passion for cutting-edge technology led him to pursue a Ph.D. at the Institute of Visual Informatics, Universiti Kebangsaan Malaysia (National University of Malaysia). During his doctoral studies, he specialized in Human-Computer Interaction (HCI) and Artificial Intelligence (AI), laying a strong foundation for his research in AI-driven emotion and cognition analysis.

 Professional Endeavors

Currently serving as a Research Fellow at Xinyu University, China, Dr. Liu plays a pivotal role in both academia and research. He has actively contributed to advancing the fields of AI and HCI through innovative research and scholarly publications. His expertise extends to AI-driven sentiment analysis, immersive learning technologies, and intelligent interaction models, significantly enhancing human-computer collaboration.

 Contributions and Research Focus

Dr. Liu’s research lies at the intersection of Artificial Intelligence and Human-Computer Interaction, particularly in AI-driven emotion recognition and cognitive analysis. His work explores how AI can enhance human-robot interaction, virtual reality experiences, and intelligent user interfaces. He has authored multiple high-impact journal articles and book chapters, contributing to the global AI and HCI knowledge base. His recent publication, Local Optimal Issue in Bees Algorithm: Markov Chain Analysis and Integration with Dynamic Particle Swarm Optimization Algorithm, highlights his expertise in optimization algorithms.

 Impact and Influence

His research has been widely recognized in leading international journals, including SCI and SSCI-indexed publications. His contributions to AI-driven emotional state modeling and immersive VR learning have significantly influenced advancements in both theoretical and applied AI. His innovative approaches are shaping the future of intelligent human-computer collaboration, paving the way for more adaptive and intuitive AI systems.

 Academic Citations

Dr. Liu’s scholarly contributions have been cited extensively in high-impact journals, reflecting the significance of his work in the AI and HCI research communities. His studies on AI-driven cognition analysis and emotion assessment have been referenced by researchers worldwide, showcasing their applicability in various domains, including education, healthcare, and robotics.

 Technical Skills

Dr. Liu possesses expertise in AI, deep learning, machine learning, and computational intelligence. His proficiency in neural networks, optimization algorithms, and multimodal data analysis has enabled him to develop robust AI models for emotion and cognitive analysis. Additionally, his technical acumen extends to programming languages such as Python, MATLAB, and TensorFlow, facilitating efficient AI model development and deployment.

 Teaching Experience

As a dedicated academic, Dr. Liu has been actively involved in mentoring students and researchers in AI and HCI. His commitment to knowledge dissemination is evident in his guidance of research projects and his participation in academic conferences. His expertise in AI-driven sentiment analysis and immersive VR learning makes him a valuable mentor for students exploring these emerging fields.

 Legacy and Future Contributions

Dr. Liu envisions a future where AI-driven systems seamlessly integrate with human cognition to enhance learning, communication, and decision-making. His ongoing research in intelligent emotion analysis and adaptive human-computer interaction aims to revolutionize how AI understands and responds to human emotions. His dedication to bridging theoretical AI research with real-world applications ensures a lasting impact on the fields of AI, HCI, and beyond.