Deep Molecular Representation in Cheminformatics. - Peng Jiang; Serkan Saydam; Hamed Lamei Ramandi; Alan Crosky; Mojtaba Maghrebi (Handbook of Deep Learning Applications, 2019)

Investigation of indoor positioning technologies for underground mine environments. - Binghao Li; Kai Zhao; Serkan Saydam; Chris Rizos; Qiang Wang; Jian Wang 005 (IPIN (Short Papers/Work-in-Progress Papers), 2019)

Exploring the Fusion Potentials of Data Visualization and Data Analytics in the Process of Mining Digitalization. - Ruiyu Liang; Chaoran Huang 001; Chengguo Zhang; Binghao Li; Serkan Saydam; Ismet Canbulat (IEEE Access, 2023)

Recent Advancements in IoT Implementation for Environmental, Safety, and Production Monitoring in Underground Mines. - Huili Zhang; Binghao Li; Mahmoud Karimi; Serkan Saydam; Mahbub Hassan (IEEE Internet Things J., 2023)

A Cluster-Based Approach to kNN Join Over Batch-Dynamic High-Dimensional Data. - Nimish Ukey; Guangjian Zhang; Zhengyi Yang 003; Xiaoyang Wang 002; Binghao Li; Serkan Saydam; Wenjie Zhang 001 (ADMA (2), 2024)

Multimodal data fusion for geo-hazard prediction in underground mining operation. - Ruiyu Liang; Chengguo Zhang; Chaoran Huang 001; Binghao Li; Serkan Saydam; Ismet Canbulat; Lesley Munsamy (Comput. Ind. Eng., 2024)

A Guideline for the Standardization of Smart Manufacturing and the Role of RAMI 4.0 in Digitising the Industrial Sector. - Armin Shirbazo; Binghao Li; Seher Ata; Hamed Lamei Ramandi; Serkan Saydam (IEEE Internet Things J., 2025)