Ozer CINAR

@avesis.yildiz.edu.tr

Dept. of Environmental Engineering
Yildiz Technical University



                 

https://researchid.co/ocinar355

Dedicated and accomplished Environmental Engineering professional with a Ph.D. in Environmental
Engineering & Science from Clemson University and a strong focus on Biological Process Engineering. I
bring over 25 years of pedagogical expertise, having served as a Professor at Yildiz Technical University
and as Rector and Professor at the International University of Sarajevo. My research endeavors include
serving as Project Coordinator for various investigations, such as the treatment of innovative technologies
in dye-containing wastewater and the biodegradation of aromatic compounds under mixed electron
acceptor conditions. I have published extensively in prestigious journals and am well-versed in areas like
membrane bioreactors, biodegradation of emerging pharmaceuticals, and treatment of textile industry
wastewater. My career statement reflects a commitment to sustainable development, green energy, and
environmental engineering. I have a proven track record as a Co-Principal Investiga

EDUCATION

MSc, Environmental Engineering and Science, 3.88
Clemson University, Clemson, SC, USA
August 1994 - May 2002

PhD, Environmental Engineering and Science, 3.90
Clemson University, Clemson, SC, USA
August 1996 - May 2002

42

Scopus Publications

2605

Scholar Citations

23

Scholar h-index

38

Scholar i10-index

Scopus Publications

  • Regional variations in incidence of surgical site infection and associated risk factors in women undergoing cesarean section: A systematic review and Meta-Analysis
    Nazmul Islam, Lukman Thalib, Sadia Mahmood, Sameed Akif Varol, Ibrahim Adel, Abdelrahman Aqel, Fatemeh Atashbari, and Ozer Cinar
    Elsevier BV


  • Biodegradation of emerging pharmaceuticals from domestic wastewater by membrane bioreactor: The effect of solid retention time
    Raghad Asad Kadhim ALOBAIDI, Kubra ULUCAN-ALTUNTAS, Rasha Khalid Sabri MHEMID, Neslihan MANAV-DEMIR, and Ozer CINAR
    MDPI AG
    Although conventional biological treatment plants can remove basic pollutants, they are ineffective at removing recalcitrant pollutants. Membrane bioreactors contain promising technology and have the advantages of better effluent quality and lower sludge production compared to those of conventional biological treatment processes. In this study, the removal of pharmaceutical compounds by membrane bioreactors under different solid retention times (SRTs) was investigated. To study the effect of SRT on the removal of emerging pharmaceuticals, the levels of pharmaceuticals were measured over 96 days for the following retention times: 20, 30, and 40-day SRT. It was found that the 40-day SRT had the optimum performance in terms of the pharmaceuticals’ elimination. The removal efficiencies of the chemical oxygen demand (COD) for each selected SRT were higher than 96% at steady-state conditions. The highest degradation efficiency was observed for paracetamol. Paracetamol was the most removed compound followed by ranitidine, atenolol, bezafibrate, diclofenac, and carbamazepine. The microbial community at the phylum level was also analyzed to understand the biodegradability of pharmaceuticals. It was noticed that the Proteobacteria phylum increased from 46.8% to 60.0% after 96 days with the pharmaceuticals. The Actinobacteria class, which can metabolize paracetamol, carbamazepine, and atenolol, was also increased from 9.1% to 17.9% after adding pharmaceuticals. The by-products of diclofenac, bezafibrate, and carbamazepine were observed in the effluent samples.




  • Effect of NaCl concentration on the performance of sequential anaerobic and aerobic membrane bioreactors treating textile wastewater
    Adem Yurtsever, Beste Calimlioglu, Mesut Görür, Özer Çınar, and Erkan Sahinkaya
    Elsevier BV

  • Performances of anaerobic and aerobic membrane bioreactors for the treatment of synthetic textile wastewater
    Adem Yurtsever, Erkan Sahinkaya, Özgür Aktaş, Deniz Uçar, Özer Çınar, and Zhiwei Wang
    Elsevier BV

  • Various oxygen loadings for oxidation of methane as electron donor source in membrane biofilm reactor for wastewater treatment
    Dilek Akman, Kevser Cirik, Ozer Cinar, and Ilker Akman
    IEEE
    The aim of this study is to investigate the aerobic methane oxidation (AME), a process potentially useful for wastewaters treatment using methane as external electron donor in membrane biofilm reactor (MBfR). MBfR was operated at different O2:CH4 ratios (0.25-1) to provide optimum reactor conditions for denitrification which will be held in subsequent studies. According to our results, none of the dissolved organic metabolites or methanol was detected by analytical techniques during methane oxidation studies. However, study findings played a key role in selecting the suitable environmental conditions for denitrification. The O2:CH4 ratio of 0.35 was found optimum reactor conditions providing safety gas mixtures and non-methane containing gas outlet hence without methane losses to the atmosphere.

  • Biocathode application in microbial fuel cells: Organic matter removal and denitrification
    Abdullah Kizilet, Dilek Akman, Vildan Akgul, Kevser Cirik, and Ozer Cinar
    IEEE
    The aim of this study is to investigate bioelectricity generation using a dual chambered biocathode microbial fuel cell (MFC). In this study, the effect of cathode influent nitrate concentration was investigated on power generation and wastewater treatment performance. Acetate was used as readily biodegradable carbon and electron donor source for microorganisms into anodic chamber, corresponding to 1000 mg/L influent COD. The biocathode MFC performance was evaluated for around 75 days following 360 days microorganism adaptation period. COD removal efficiency was 75% and slightly affected from the varying influent nitrate concentrations. However, autotrophic denitrification efficiency was adversely affected by increasing influent nitrate concentration and the maximum nitrate removal efficiency of around 70% was observed at the influent nitrate concentration of 50 mgNO-3/L. Additionally, the increasing nitrate concentration from 25 to 50 mg/L resulted in increasing the power density which approached to around 4 W/m2.

  • Kinetics of autotrophic denitrification process and the impact of sulphur/limestone ratio on the process performance
    Arzu Kilic, Erkan Sahinkaya, and Ozer Cinar
    Informa UK Limited
    Kinetics of sulphur–limestone autotrophic denitrification process in batch assays and the impact of sulphur/limestone ratio on the process performance in long-term operated packed-bed bioreactors were evaluated. The specific nitrate and nitrite reduction rates increased almost linearly with the increasing initial nitrate and nitrite concentrations, respectively. The process performance was evaluated in three parallel packed-bed bioreactors filled with different sulphur/limestone ratios (1:1, 2:1 and 3:1, v/v). Performances of the bioreactors were studied under varying nitrate loadings and hydraulic retention times (3–12 h). The maximum nitrate reduction rate of 0.66 g L−1 d−1 was observed at the loading rate of in the reactor with sulphur/limestone ratio of 3:1. Throughout the study, nitrite concentrations remained quite low (i.e. below 0.5 mg L−1 . The reactor performance increased in the order of sulphur/limestone ratio of 3:1, 2:1 and 1:1. Denaturing gradient gel electrophoresis analysis of 16S rRNA genes showed quite stable communities in the reactors with the presence of Methylo virgulaligni, Sulfurimonas autotrophica, Sulfurovum lithotrophicum, Thiobacillus aquaesulis and Sulfurimonas autotrophica related species.

  • Investigation of color removal from real textile wastewaters in ABR followed by ozonation as post treatment


  • Effect of cycle time on polyhydroxybutyrate (PHB) production in aerobic mixed cultures
    Sebnem Ozdemir, Dilek Akman, Kevser Cirik, and Ozer Cinar
    Springer Science and Business Media LLC

  • The effect of biological sulfate reduction on anaerobic color removal in anaerobic-aerobic sequencing batch reactors
    Kevser Cirik, Mehmet Kitis, and Ozer Cinar
    Springer Science and Business Media LLC


  • Treatment of azo dye-containing synthetic textile dye effluent using sulfidogenic anaerobic baffled reactor
    Sebnem Ozdemir, Kevser Cirik, Dilek Akman, Erkan Sahinkaya, and Ozer Cinar
    Elsevier BV


  • Effect of nitrate on anaerobic azo dye reduction
    Kevser Cirik, Mehmet Kitiş, and Özer Çinar
    Springer Science and Business Media LLC

  • The effect of cyclic anaerobic-aerobic conditions on biodegradation of azo dyes
    Semra Yaşar, Kevser Cirik, and Özer Çinar
    Springer Science and Business Media LLC

  • Simultaneous heterotrophic and sulfur-oxidizing autotrophic denitrification process for drinking water treatment: Control of sulfate production
    Erkan Sahinkaya, Nesrin Dursun, Adem Kilic, Sevgi Demirel, Sinan Uyanik, and Ozer Cinar
    Elsevier BV

  • Selection of optimum operational conditions for the treatment performance of geotextile biofilters using artificial neural networks


  • Artificial neural network and regression techniques in modelling surface water quality


  • Filterability of membrane bioreactor (MBR) sludge: Impacts of polyelectrolytes and mixing with conventional activated sludge
    Nevzat O. Yigit, Gokhan Civelekoglu, Ozer Cinar, and Mehmet Kitis
    IWA Publishing
    The main objective of this work was to investigate the filterability of MBR sludge and its mixture with conventional activated sludge (CAS). In addition, the impacts of type and dose of various polyelectrolytes, filter type and sludge properties on the filterability of both MBR and Mixed sludges were determined. Specific cake resistance (SCR) measured by the Buchner funnel filtration test apparatus and the solids content of the resulting sludge cake were used to assess the dewaterability of tested sludges. The type of filter paper used in Buchner tests affected the results of filterability for MBR, CAS and Mixed sludges. SCR values and optimum polyelectrolyte doses increased with increasing MLSS concentrations in the MBR, which suggested that increase in MLSS concentrations accompanied by increases in EPS and SMP concentrations and a shift toward smaller particles caused poorer dewaterability of the MBR sludge. The significant differences observed among the filterability of CAS and MBR sludges suggested that MLSS alone is not a good predictor of sludge dewaterability. Combining CAS and MBR sludges at different proportions generally improved their dewaterability. Combining MBR sludges having typically high MLSS and EPS concentrations with CAS having much lower MLSS concentrations may be an option for full-scale treatment plants experiencing sludge dewaterability problems. Better filterability and higher cake dry solids were achieved with cationic polyelectrolytes compared to anionic and non-ionic ones for all sludge types tested.

  • Utilization of two artificial neural network methods in surface water quality modeling
    Ozer Cinar and Hasan Merdun
    OAIMDD - EcoZone Publishing House
    Artificial neural networks (ANNs) are capable of learning the relationships between the dependent and predictor surface water quality variables and have a high ability to predict from the new data set. In this study, two different ANN methods, the feedforward network (FFN) and the cascadeforward network (CFN) were applied to predict two surface water quality variables such as chlorophyll-a (Chl-a) and fecal coliform (FC) using twelve other variables as an input to the models. Both methods, for developing and training the ANN, are multilayer, leading to the same architecture of the feedforward neural network trained by back-propagation learning algorithm. The networks were supplied with two subsets of water quality data, with two-thirds being used for training and one-third for testing the performance of the networks, after pre-processing of the data set (110 samples) by normalization and moving average techniques. The performances of both ANN methods were evaluated visually by plotting and quantitatively by using five statistical parameters. The training procedures of both ANN methods for Chl-a and FC were very successful and a perfect match was obtained between the measured and predicted values with the correlation coefficient (R) of 1.00. The testing or prediction results also produced good agreements with the measured data of Chl-a and FC in terms of R values of 0.83, 0.93 (for FFN), and 0.89, 0.91 (for CFN), respectively. Results of this study show that ANN methods are able to predict Chl-a and FC with reasonable accuracy, suggesting that ANN is a valuable and powerful tool for surface water quality modeling and management.

  • Stripping/flocculation/membrane bioreactor/reverse osmosis treatment of municipal landfill leachate
    Halil Hasar, Sezahat A. Unsal, Ubeyde Ipek, Serdar Karatas, Ozer Cınar, Cevat Yaman, and Cumali Kınacı
    Elsevier BV

RECENT SCHOLAR PUBLICATIONS

  • Regional variations in incidence of surgical site infection and associated risk factors in women undergoing cesarean section: A systematic review and Meta-Analysis
    N Islam, L Thalib, S Mahmood, SA Varol, I Adel, A Aqel, F Atashbari, ...
    Intensive and Critical Care Nursing 89, 103951 2025

  • Cake layer reformation rates on self forming dynamic membranes and performance comparison with microfiltration membranes
    A Kizilet, A Yurtsever, K Cirik, O Cinar
    Science of the Total Environment 838, 156384 2022

  • Biodegradation of emerging pharmaceuticals from domestic wastewater by membrane bioreactor: the effect of solid retention time
    RAK Alobaidi, K Ulucan-Altuntas, RKS Mhemid, N Manav-Demir, O Cinar
    International Journal of Environmental Research and Public Health 18 (7), 3395 2021

  • Performance and foulant characteristics of an anaerobic membrane bioreactor treating real textile wastewater
    A Yurtsever, E Sahinkaya, ınar
    Journal of Water Process Engineering 33, 101088 2020

  • Membran Biyoreaktr ve Dinamik Membran Biyoreaktr Performansının Aynı Koşullarda Kıyaslanması
    MA Veral, INAR, A Kizilet
    European Journal of Science and Technology, 30-41 2020

  • Membrane bioreactor and dynamic membrane bioreactor performance comparison under the same conditions
    MA Veral, ınar, A Kızılet
    Avrupa Bilim ve Teknoloji Dergisi, 30-41 2020

  • Recent advances in membrane fouling control in wastewater treatment processes
    A Cemanovic, N Manav, A Kızılet, ınar
    European Journal of Engineering and Natural Sciences 3 (2), 173-179 2019

  • Sulfur-Based Mixotrophic Denitrification Process for Drinking Water Treatment and Community Fingerprinting
    A ztrk, E Şahinkaya, ınar
    International Symposium on Urban Water and Wastewater Management, 25-27 2018

  • Treatment of industrial wastewaters with anaerobic membrane bioreactors
    A Ćemanović, OA Arikan, A Kizilet, ınar
    Proceedings of the 4th international conference on engineering and natural 2018

  • Treatment of textile industry wastewater using dynamic membrane bioreactor: Impact of intermittent aeration on process performance
    A Yurtsever, E Sahinkaya, O Cinar
    ELSEVIER SCIENCE BV 2017

  • Treatment of textile industry wastewater using dynamic membrane bioreactor: Impact of intermittent aeration on process performance
    E Sahinkaya, A Yurtsever, ınar
    Separation and Purification Technology 174, 445-454 2017

  • Comparison of Performance of Conventional Membrane Bioreactor with Dynamic Membrane Bioreactor
    MA Veral
    European Journal of Engineering and Natural Sciences 2 (1), 21-28 2017

  • The use of membrane processes to promote sustainable environmental protection practices
    A Kızılet
    European Journal of Sustainable Development Research 2 (1), 17-22 2017

  • Isotherm and kinetic modelling of azo dyes adsorption
    O Isık
    European Journal of Engineering and Natural Sciences 2 (1), 210-216 2017

  • Aerobik Metan Oksidasyonu ile Denitrifikasyon (AME-D) Performansını Etkileyen Faktrlerin Membran Biyofilm Reaktrde (MBfR) Araştırılması
     INAR, K CIRIK
     2016

  • Treatment of textile wastewater using sequential sulfate-reducing anaerobic and sulfide-oxidizing aerobic membrane bioreactors
    A Yurtsever, ınar, E Sahinkaya
    Journal of Membrane Science 511, 228-237 2016

  • Tekstil Endstrisi Atıksularının Anaerobik Ve Aerobik Membran Biyoreaktrlerde Arıtımı Ve Su Geri Kazanımı
    E SAHİNKAYA, N DİZGE, AKTAŞ, INAR
     2016

  • A review on dynamic membrane bioreactors: comparison of membrane bioreactors and different support materials, transmembrane pressure
    O Cinar, A Kizilet, O Isik, A Cemanovic, M Akif, S Duman
    Proceedings of International Conference on Engineering and Natural Sciences 2016

  • Peyniraltı Suyu Arıtımında Tek ve ift Aşamalı Anaerobik Reaktrn Optimizasyonu
    E YAZAR, K CIRIK, Ş ZDEMIR, D AKMAN, C Yakup, INAR
     2016

  • Optimization of two-stage and single-stage anaerobic reactors treating cheese whey
    E Yazar, K Cırık, Ş zdemır, D Akman, Y Cuci, ınar
    Kahramanmaraş St İmam niversitesi Mhendislik Bilimleri Dergisi 19 (1 2016

MOST CITED SCHOLAR PUBLICATIONS

  • Comparison of artificial neural network and regression pedotransfer functions for prediction of soil water retention and saturated hydraulic conductivity
    H Merdun, ınar, R Meral, M Apan
    Soil and Tillage Research 90 (1-2), 108-116 2006
    Citations: 277

  • Simultaneous heterotrophic and sulfur-oxidizing autotrophic denitrification process for drinking water treatment: control of sulfate production
    E Sahinkaya, N Dursun, A Kilic, S Demirel, S Uyanik, O Cinar
    Water research 45 (20), 6661-6667 2011
    Citations: 242

  • Stripping/flocculation/membrane bioreactor/reverse osmosis treatment of municipal landfill leachate
    H Hasar, SA Unsal, U Ipek, S Karatas, O Cınar, C Yaman, C Kınacı
    Journal of Hazardous Materials 171 (1-3), 309-317 2009
    Citations: 215

  • Performances of anaerobic and aerobic membrane bioreactors for the treatment of synthetic textile wastewater
    A Yurtsever, E Sahinkaya, Aktaş, D Uar, ınar, Z Wang
    Bioresource Technology 192, 564-573 2015
    Citations: 165

  • Effect of cycle time on biodegradation of azo dye in sequencing batch reactor
     ınar, S Yaşar, M Kertmen, K Demirz, N Yigit, M Kitis
    Process Safety and Environmental Protection 86 (6), 455-460 2008
    Citations: 121

  • Treatment of azo dye-containing synthetic textile dye effluent using sulfidogenic anaerobic baffled reactor
    S Ozdemir, K Cirik, D Akman, E Sahinkaya, O Cinar
    Bioresource technology 146, 135-143 2013
    Citations: 113

  • Modeling of submerged membrane bioreactor treating cheese whey wastewater by artificial neural network
     inar, H Hasar, C Kinaci
    Journal of biotechnology 123 (2), 204-209 2006
    Citations: 109

  • Bioelectricity generation in continuously-fed microbial fuel cell: effects of anode electrode material and hydraulic retention time
    D Akman, K Cirik, S Ozdemir, B Ozkaya, O Cinar
    Bioresource technology 149, 459-464 2013
    Citations: 100

  • Treatment of textile wastewater using sequential sulfate-reducing anaerobic and sulfide-oxidizing aerobic membrane bioreactors
    A Yurtsever, ınar, E Sahinkaya
    Journal of Membrane Science 511, 228-237 2016
    Citations: 98

  • Treatment of textile industry wastewater using dynamic membrane bioreactor: Impact of intermittent aeration on process performance
    E Sahinkaya, A Yurtsever, ınar
    Separation and Purification Technology 174, 445-454 2017
    Citations: 95

  • Evaluation of IAWQ Activated Sludge Model No. 2 using steady‐state data from four full‐scale wastewater treatment plants
     inar, GT Daigger, SP Graef
    Water environment research 70 (6), 1216-1224 1998
    Citations: 94

  • evre kirliliği ve kontrol
     ınar
    Nobel Yayın Dağıtım 2008
    Citations: 91

  • New tool for evaluation of performance of wastewater treatment plant: artificial neural network
     inar
    Process Biochemistry 40 (9), 2980-2984 2005
    Citations: 84

  • Performance and foulant characteristics of an anaerobic membrane bioreactor treating real textile wastewater
    A Yurtsever, E Sahinkaya, ınar
    Journal of Water Process Engineering 33, 101088 2020
    Citations: 70

  • Effect of electron donor source on the treatment of Cr (VI)-containing textile wastewater using sulfate-reducing fluidized bed reactors (FBRs)
    K Cirik, N Dursun, E Sahinkaya, inar
    Bioresource technology 133, 414-420 2013
    Citations: 70

  • Effect of NaCl concentration on the performance of sequential anaerobic and aerobic membrane bioreactors treating textile wastewater
    A Yurtsever, B Calimlioglu, M Grr, ınar, E Sahinkaya
    Chemical Engineering Journal 287, 456-465 2016
    Citations: 68

  • Application of an unsupervised artificial neural network technique to multivariant surface water quality data
     inar, H Merdun
    Ecological research 24 (1), 163-173 2009
    Citations: 39

  • The effect of cyclic anaerobic–aerobic conditions on biodegradation of azo dyes
    S Yaşar, K Cirik, inar
    Bioprocess and biosystems engineering 35, 449-457 2012
    Citations: 37

  • Membran biyoreaktr (MBR) ile evsel atıksu arıtımı
    N Yiğit
    Fen Bilimleri Enstits 2007
    Citations: 31

  • Kinetics of autotrophic denitrification process and the impact of sulphur/limestone ratio on the process performance
    A Kilic, E Sahinkaya, O Cinar
    Environmental technology 35 (22), 2796-2804 2014
    Citations: 27