Engineered Science Annual Conference, Bursa Uludag University, Turkey, 2024

4th-10th November, 2024, Bursa Uludag University, Turkey

Criteria: The Best Paper Award at ES Annual Conference, 2024 acknowledges outstanding contributions in Engineered Science Publisher Journals. Papers eligible for consideration demonstrate exceptional innovation, methodological rigor, impactful results, and clarity in presentation.

Selection Process: An esteemed panel of judges, comprised of experts and authorities in various engineering disciplines, will review and evaluate eligible papers based on their novelty, scientific significance, methodology, and overall contribution to the field.

Recognition: The authors of the selected paper will be honored with the prestigious Best Paper Award during the ES Annual Conference, 2024 Award Ceremony. This accolade recognizes the exemplary research and significant impact made within the engineering sciences domain.



Full-length Papers:

· Authors of accepted abstracts are invited (but not obliged) to submit full papers ranging from 5–10 pages.

· These papers undergo evaluation by session organizers and/or committee members.

· Accepted and presented full papers will be integrated into the final ES Conclave proceedings post-conference.

· Paper presentation necessitates registration and payment of the conference fee.

Journal Publication:

Exceptional full-paper submissions might be recommended for publication in esteemed journals such as Engineered Science, ES Materials & Manufacturing, ES Energy & Environment, ES Food & Agroforestry, ES General, and Advanced Composites and Hybrid Materials.

Journal policies for conference publications include:

· Papers must be at least 5 pages long.

· Content overlap with prior publications should not exceed 30%.

· Adequate referencing proportional to the work is essential.

· Papers must align with journal scopes, present accurate results, and meet language standards.

· The publisher reserves the right to retract publication if significant misrepresentation of quality, accuracy, or relevance is detected.