Organizers
Advancing Materials Science Through Data Science
Hasan Kurban
Assistant Professor Electrical and Computer Engineering
Texas A&M University, Doha, Qatar
Email: hasan.kurban@tamu.edu
Dr. Kurban specializes in AI and data science, with a broad research scope encompassing data-centric AI, deep learning, graph theory, and big data analytics. His work finds applications in various domains such as computational material science, computational biology, sports analytics, public transportation, and astronomy. Notably, his recent endeavors include AI and data-driven approaches in material science and engineering. Dr. Kurban is dedicated to transforming traditional fields through AI innovations, leveraging technology to tackle complex problems.
Mehmet M. Dalkilic
Professor Computer Science, Data Science and Adjunct Statistics
Indiana University, Bloomington, IN, USA
Email: dalkilic@iu.edu
Dr. Dalkilic was the first faculty member of the Luddy School of Informatics, Computing, and Engineering and created the Graduate Computational Biology Program. He works in many areas including computational biology, geosciences, materials science, astronomy, archaeology, transportation, sports analytics, and improving traditional AI/ML through data-centric approaches, publishing more than 50 papers with many diverse groups. He has worked with the U.S. Navy in several areas including drones and electro-optics. He has graduated 10 PhD students and is currently the Undergraduate Director of the Data Science.
Mustafa Kurban
Associate Professor Physics
Ankara University, Ankara, Turkey
Email: kurbanm@ankara.edu.tr
Dr. Kurban's research spans material science, computational physics, and nanotechnology, focusing on nanostructured materials for applications in energy, environment, and healthcare. His expertise in both theoretical approaches like DFT and Molecular Dynamics, and experimental techniques, enables advancements in semiconductors, energy storage, and organic electronics. His work contributes to developing innovative materials for solar cells, batteries, and emission reduction, highlighting his role in pushing the boundaries of materials science for sustainable solutions. His most recent publication: “Rational design of SnO2 thin film coated cathode with function of entrapping polysulfides for performance enhanced Li–S batteries Facet-Defined Dilute Metal Alloy” published in the Journal of Power Sources in February 2024 demonstrates the strong absorption capacity of SnO2 for LiPSs that can be used to enhance battery performance.
Erchin Serpedin
Professor Electrical and Computer Engineering
Texas A&M University, College Station, TX, USA
Email: eserpedin@tamu.edu
Dr. Serpedin works in the fields of data analytics, signal processing and machine learning and their applications in computer vision, computational biology, bioengineering, smart grids and cyber security. He is the author of four research monographs, one textbook, 17 book chapters, 200 journal papers, and 300 conference papers. He served as an associate editor for more than 12 journals, including journals such as the IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Signal Processing Letters, IEEE Communications Letters, IEEE Transactions on Wireless Communications, Signal Processing (Elsevier), and IEEE Signal Processing Magazine and as a Technical Chair for seven major conferences. He is an IEEE Fellow.
Bryan M. Wong
Materials Science and Engineering Professor
University of California, Riverside, CA, USA
Email: bryan.wong@ucr.edu
Prof. Bryan M. Wong is a full professor in the Materials Science & Engineering Program and a Cooperating Faculty Member in the Department of Chemistry, Department of Physics & Astronomy, and Department of Electrical & Computer Engineering at UC Riverside. He is listed in the Reviews in Computational Chemistry (Volume 27) as a researcher who “regularly publishes in journals that focus on computing at the molecular level.” Prof. Wong received his Ph.D. in physical chemistry from the Massachusetts Institute of Technology (MIT) and is the recipient of several awards including an R&D 100 Award, a Department of Energy (DOE) Early Career Award, and an ACS COMP OpenEye Outstanding Junior Faculty Award in Computational Chemistry.
Xingchen Ye
Assistant Professor Chemistry
Indiana University, Bloomington, IN, USA
Email: xingye@indiana.edu
Dr. Ye works in the precision synthesis of colloidal nanocrystals and their integration into mesoscale assemblies for energy conversion. His work also includes in situ multimodal imaging of nanoscale dynamics and materials transformation. He was the recipient of the John G. Miller Award for his thesis titled: Chemical design of optical metamaterials through self-assembly of plasmonic and phosphorescent nanocrystal superlattices. His most recent publication “Facet-Defined Dilute Metal AlloyNanorods for Efficient Electroreduction of CO2 to n-Propanol” reported in the Journal of the American Chemical Society in Feb.2024 studies a compelling strategy for storing intermittent renewable energy.
Jeffrey M. Zaleski
Professor Chemistry
Indiana University, Bloomington, IN, USA
Email: zalaski@indiana.edu
Dr. Zaleski is the Provost Professor of Chemistry working in synthetic and physical inorganic chemistry of metalloenediyne molecules publishing more than 90 papers on these and analogous radical generating constructs built upon complex porphyrin scaffolds. He has emerged as a leader in design and practical synthetic execution of these architectures. He also has contributed to the University as the former Vice Provost for Sciences helping develop an academic environment that fosters excellent science.