Welcome to the home page of Dr. Hamza Salih Erden.
Dr. Erden received his B.S. degree from Istanbul Technical University in Mechanical Engineering; M.S. and Ph.D. degrees from Syracuse University in Mechanical and Aerospace Engineering. He is now a faculty member at Istanbul Technical University, where he leads graduate-level teaching track and research laboratory titled “Thermal Systems in Cloud Infrastructure” at the Informatics Institute. His current research is on the thermodynamic modeling and optimization of data center thermal environment and cooling infrastructure. As an active member of ASHRAE, ASME and IEEE, Dr. Erden authored and co-authored more than 30 journal articles and conference papers and received 2015 ASHRAE Willis H. Carrier Award.
This is an open call for Mechanical and Chemical Engineering Undergraduate Students interested in getting involved with state-of-the-art research in our group and modeling thermal systems in the data center infrastructure. You can submit your applications through the STAR Internship Program website until the deadline on April 22nd, 2022. If you would like to know more about the project and our group, please feel free to contact us.
National and international journal articles have been published recently in our group on the energy and economic assessments of computer room air handling (CRAH) bypass (BP) method for data centers.
The first article, titled “Comprehensive energy and economic assessment of CRAH bypass method in air-cooled data centers” is published in the Sustainable Energy Technologies and Assessments. The article provides a holistic optimization tool for various configurations of air-cooled data centers based on detailed thermodynamic modeling using hour-by-hour annual energy simulations. Despite the significant energy-saving potential of the CRAH BP method, economics plays a pivotal role in the feasibility of such an investment. The results include design considerations for the successful application of the CRAH BP method in air-cooled data centers.
Both articles are funded by the financial support provided by the Scientific and Technological Research Council of Turkey (TUBITAK) as part of the project 118M238, titled “CFD Analysis and Economic Assessment of CRAH Bypass Method for the Cooling Optimization of Data Centers”.
Full citation records of the articles:
Erden, H. S., (2022). “Comprehensive energy and economic assessment of CRAH bypass method in air-cooled data centers”. Sustainable Energy Technologies and Assessments, Vol. 52B, 102120. doi: 10.1016/j.seta.2022.102120
Erden, H. S. & Türkmen, İ., (2022). “Küçük bir veri merkezinin iklimlendirme ünitelerine yönelik baypas yönteminin enerji ve ekonomik analizi”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi , 37 (4) , 1883-1898. doi: 10.17341/gazimmfd.897270
Our group member, Beltus, successfully defended his thesis titled “CNN-based Server State Monitoring and Fault Diagnosis using Infrared Thermography” and graduated from the Computer Science M.Sc. Program. His work was co-supervised by Professors Hamza Salih Erden and Behçet Uğur Töreyin and funded by Istanbul Technical University (ITU) Vodafone Future Lab under Project Number 2018000463.
Constructive feedbacks by the committee members Professors Sefer Baday, Gökhan Bilgin and Nurullah Çalık are higly appreciated.
Congrats to Beltus for achieving another milestone in his career and wish him success in the future…
Our project titled “Modeling and Optimization of Grid-Integrated Energy Systems for the Demand-Side Management of Data Centers” has been funded by TUBITAK 3501 Career Development Grant Program. The project team consists of researchers from the Informatics Institute and Energy Institute, and multiple graduate scholarships are available for the duration of the TUBITAK 3501 project until June 2023. Contact for more information: firstname.lastname@example.org
The project titled “An Ensemble Deep Learning System for the Automatic Detection of Covid-19 in X-Ray Images” by our research group member Beltus Nkwawir Wiysobunri, who is pursuing his master’s degree in the Computer Sciences Department, was chosen the best project in the Science category of 2020 International Student Academy Awards Competition.
The project is titled “An Ensemble Deep Learning System for the Automatic Detection of Covid-19 in X-Ray Images” and conducted by Beltus under the supervision of Dr. Hamza Salih Erden and Assoc. Prof. Dr. Behçet Uğur Töreyin.
The article titled “A home energy management system with an integrated smart thermostat for demand response in smart grids” we coauthored with colleagues from the Istanbul Technical University Energy Institute, Anıl Can Duman, Ömer Gönül and Önder Güler, is now available online in the journal of Sustainable Cities and Society. It has been a fruitful example of interdisciplinary research hopefully to be continued.
Dr. Hamza Salih Erden attended Data Center Istanbul Conference on December 8th, 2020 to make an invited talk on the CFD modeling research activities for energy savings in data centers to the participants from the industry.
Our group member, Beltus Nkwawir Wiysobunri, presented his work titled “A Deep Learning Approach to Fault Detection and Classification in Datacenters” at the 6th High Performance Computing Conference (BAŞARIM 2020) on October 8-9th, 2020. The article, co-authored by Dr. Hamza Salih Erden and Dr. Behçet Uğur Töreyin, is accessible through ResearchGate. The video recording of the presentation is below.