Professor Toklu obtained his BS and MS degrees in Civil Engineering from Middle East Technical University, Ankara, Turkiye, and his doctorate from Universite de Pierreet Marie Curie (Paris VI), Paris, France. In his professional life he directed and/or supervised numerous giant construction projects in Turkey, including a pontoon bridge (Galata Bridge), a long span suspension bridge (Fatih Sultan Mehmet Bridge), a light railed transportation system (Ankaray), and several motorways (İzmir-Aydın Motorway and İzmir-Çeşme Motorway). In academic life he taught in several universities starting with Middle East Technical University, serving in many cases as Department Head or Dean. Being a member of several technical and scientific international and national organizations, he is currently affiliated to Istanbul Aydin University, Türkiye. His research interests include application of optimization techniques to engineering, application of Artificial Intelligence concepts to engineering, space civil engineering, nonlinear analysis of structures, engineering education and construction scheduling. He is the author of several books, book chapters and scientific articles. He has organized many congresses and served as keynote speaker in many international meetings. Dr. Toklu is the developer of the method “Total Potential Optimization using Meta-heuristic Algorithms (TPO/MA)” that gave way to the method Finite Element Method with Energy Minimization (FEMEM) which is shown to be more successful than classical methods, including the well-known Finite Element Method, in analyzing non-linear structural systems, under-constrained structures, unstable structures,degenerate structures and structures with non-unique deformed shapes.These methods, based on artificial intelligence techniques, form an important part in the 2021 book “Metaheuristics for Structural Design and Analysis” published by John Wiley and Sons authored by Dr. Toklu and his colleagues. Title of talk: An improved form of FEM, Finite Element Method with Energy Minimization, FEMEM, to deal with problems that cannot be solved by FEM.