@@ -202,7 +202,7 @@ <h4 class="duyuru-baslik">[Project] Approval Granted for TUBITAK 1505 Project</h
202202 < p class ="duyuru-aciklama ">
203203 Our TÜBİTAK 1505 University-Industry Collaboration Support Program project titled "Access Point
204204 Placement and Validation using Cooperative Autonomous Ground and Aerial Robots" has been approved.
205- This study, led by Principal Investigator Prof. Haluk Bayram from Istanbul Medeniyet
205+ This study, led by Principal Investigator Assoc. Prof. Haluk Bayram from Istanbul Medeniyet
206206 University, will be implemented in partnership with Türk Telekomünikasyon A.Ş. as the customer
207207 organization, and with the participation of Company Project Manager Samet Özabacı. The project will
208208 be carried out by the Field Robotics Laboratory.
@@ -263,7 +263,8 @@ <h4 class="duyuru-baslik">[Project] Approval Granted for TUBITAK 1002 Project</h
263263 < p class ="duyuru-aciklama ">
264264 Our TUBITAK 1002 project titled "Removal of Microplastics by Granular Filtration with Calcium
265265 Carbonate Addition and Development of Filter Model" has been approved.
266- The project is led by Principal Investigator Dr. Selda Yiğit Hunce (Marmara University), with Prof.
266+ The project is led by Principal Investigator Dr. Selda Yiğit Hunce (Marmara University), with
267+ Assoc. Prof.
267268 Haluk Bayram and
268269 Prof. Elif Soyer (Marmara University) serving as researchers, bringing together multidisciplinary
269270 expertise in
@@ -276,7 +277,8 @@ <h4 class="duyuru-baslik">[Project] Approval Granted for TUBITAK 1002 Project</h
276277 These particles interact with microplastics through physical and chemical pathways, facilitating
277278 their accumulation and subsequent entrapment within a rapid sand filter system.
278279 < br > < br >
279- In the filtration model section, under the responsibility of Prof. Bayram, a time-series prediction
280+ In the filtration model section, under the responsibility of Assoc. Prof. Haluk Bayram, a
281+ time-series prediction
280282 model based on experimental data will be developed to forecast outputs such as
281283 turbidity and head loss, using input variables including effective diameter, filtration velocity,
282284 and dosage.
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