1. Ahmet Coşgun, M. Erdem Günay, Ramazan Yıldırım, "A critical review of machine learning for lignocellulosic ethanol production via fermentation route", Vol. 38, pp. 1859-1875, 2023 [PDF]
2. Doruk Sen, Mehmet Fatih Huseyinoglu, M. Erdem Günay, "Prediction of global temperature anomaly by machine learning based techniques", Vol. 35, pp. 15601–15614, 2023 [PDF]
3. Ahmet Coşgun, M. Erdem Günay, Ramazan Yıldırım, "Machine learning for algal biofuels: a critical review and perspective for the future", Green Chemistry, Vol. 25, pp. 3354, 2023 [PDF]
4. Soheil Saffary, Mansoureh Rafiee, Mohammadreza Saeidi, M. Erdem Günay, Sohrab Zendehboudi, "Smart paradigm to predict copper surface area of Cu/ZnO/Al2O3 catalyst based on synthesis parameters", Chemical Engineering Research and Design, Vol. 191, pp. 604-616, 2023 [PDF]
5. N. Alper Tapan,  M. Erdem Günay, Nilüfer Yıldırım, "Application of Machine Learning for the Determination of Damaged Starch Ratio as an Alternative to Medcalf and Gilles Principle", Food Analytical Methods, Vol. 16, pp. 604-614, 2023 [PDF]
6. Doruk Sen, K. Irem Hamurcuoglu, Melisa Z. Ersoy, K.M. Murat Tunç, M. Erdem Günay, "Forecasting long-term world annual natural gas production by machine learning", Resources Policy, Vol. 80, pp. 103224, 2023 [PDF]
7. M. Erdem Günay, N. Alper Tapan, "Evaluation of polymer electrolyte membrane electrolysis by explainable machine learning, optimum classification model, and active learning", Journal of Applied Electrochemistry, Vol. 53, pp. 415-433, 2023 [PDF]
8. Manu Suvarna, Mohammad Islam Jahirul, Wai Hung Aaron-Yeap, Cheryl Valencia Augustine, Anushri Umesh, Mohammad Golam Rasul, Mehmet Erdem Günay, Ramazan Yildirim, Jidon Janaun, “Predicting biodiesel properties and its optimal fatty acid profile via explainable machine learning”, Renewable Energy, Vol. 189, pp. 245-258, 2022. [PDF]
9. Ahmet Coşgun, M. Erdem Günay, Ramazan Yıldırım, “Analysis of lipid production from Yarrowia lipolytica for renewable fuel production by machine learning”, Fuel, Vol. 315, pp. 122817, 2022. [PDF] 
10. M. Erdem Günay, N. Alper Tapan, Gizem Akkoç, “Analysis and modeling of high-performance polymer electrolyte membrane electrolyzers by machine learning”, International Journal of Hydrogen Energy, Vol. 47, pp. 2134-2151, 2022. [PDF]
11. Mehmet Fatih Huseyinoglu, Gokhan Tari, M. Erdem Günay, “Analysis of 70 years of change in benthic invertebrate biodiversity in the Prince’s Islands region, Istanbul”, Regional Studies in Marine Science, Vol. 48, pp. 102003, 2021. [PDF]
12. Doruk Sen, K.M. Murat Tunç, M. Erdem Günay, “Forecasting electricity consumption of OECD countries: A global machine learning modeling approach”, Utilities Policy, Vol. 70, pp. 101222, 2021. [PDF] 
13. M. Erdem Günay, Ramazan Yıldırım, “Recent advances in knowledge discovery for heterogeneous catalysis using machine learning”, Catalysis Reviews Science and Engineering, Vol. 63, pp. 120-164, 2021. [PDF]
14. Ahmet Cosgun, M. Erdem Günay, Ramazan Yıldırım, “Exploring the critical factors of algal biomass and lipid production for renewable fuel production by machine learning”, Renewable Energy, Vol.163, pp. 1299-1317, 2021. [PDF]
15. K.M. Murat Tunç, M. Erdem Günay, Fatma Bayata, “Analysis of the thermalization dynamics of two-layer thin films irradiated by femtosecond laser”, Optik - International Journal for Light and Electron Optics, Vol. 208, pp. 164137, 2020. [PDF] 
16. M. Erdem Günay, Lemi Türker, N. Alper Tapan, Fuel, “Significant parameters and technological advancements in biodiesel production systems”, Vol. 250, pp. 27-41, 2019. [PDF]
17. Merve G. Yıldız, Tuğba Davran-Candan, M. Erdem Günay, Ramazan Yıldırım, “CO2 capture over amine-functionalized MCM-41 and SBA-15: Exploratory analysis and decision tree classification of past data”, Journal of CO2 Utilization, Vol. 31, pp. 27-42, 2019.[PDF]
18. Doruk Şen, M. Erdem Günay, K.M. Murat Tunç, “Forecasting annual natural gas consumption using socio-economic indicators for making future policies”, Energy, Vol. 173, pp 1106-1118, 2019. [PDF] 
19. M. Erdem Günay, Lemi Türker, N. Alper Tapan, “Decision tree analysis for efficient CO₂ utilization in electrochemical systems”, Journal of CO₂ Utilization, Vol. 28, pp 83-95, 2018. [PDF]
20. Deniz Ulkat, M. Erdem Günay, “Prediction of mean monthly wind speed and optimization of wind power by artificial neural networks using geographical and atmospheric variables: case of Aegean Region of Turkey”, Neural Computing and Applications, Vol. 30, pp 3037–3048, 2018. [PDF]
21. Ayşe Neslihan Şener, M. Erdem Günay, Aybüke Leba, Ramazan Yıldırım, "Statistical review of dry reforming of methane literature using decision tree and artificial neural network analysis", Catalysis Today, Vol. 299, pp 289-302, 2018. [PDF]
22. Meltem Baysal, M. Erdem Günay, Ramazan Yıldırım, “Decision tree analysis of past publications on catalytic steam reforming to develop heuristics for high performance: A statistical review”, International Journal of Hydrogen Energy, Vol. 42, Issue 1, pp 243–254, 2017. [PDF]
23. N. Alper Tapan, Ramazan Yildirim, M. Erdem Günay, Ramazan Yildirim, “Analysis of past experimental data in literature to determine conditions for high performance in biodiesel production”, Biofuels, Bioproducts and Biorefining, Vol. 10, pp. 422–434, Issue 4, 2016. [PDF] 
24. M. Erdem Günay, “Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey”, Energy Policy, Vol. 90, pp. 92–101, 2016. [PDF]
25. N. Alper Tapan, M. Erdem Günay, Ramazan Yildirim, “Constructing global models from past publications to improve design and operating conditions for direct alcohol fuel cells”, Chemical Engineering Research and Design, Vol. 105, pp.162–170, 2016. [PDF]
26. Cagla Odabasi, M. Erdem Gunay and R. Yildirim, “Knowledge extraction for water gas shift reaction over noble metal catalysts from publications in the literature between 2002 and 2012″, International Journal of Hydrogen Energy , Vol.39, pp.5733-5746, 2014.[PDF] 
27. M. Erdem Gunay and R. Yildirim, “Developing Global Reaction Rate Model for CO Oxidation over Au Catalysts from Past Data in Literature Using Artificial Neural Networks”, Applied Catalysis A: General, Vol.468, pp.395-402, 2013.[PDF] 
28. M. Erdem Gunay and R. Yildirim, “Knowledge extraction from historical data: Case of selective CO oxidation over noble metal catalysts between 2000-2012″, ChemCatChem, Vol.5, pp.1395–1406, 2013. 
29. M. Erdem Gunay and R. Yildirim, “Modeling preferential CO oxidation over promoted Au/Al2O3 catalysts using decision trees and modular neural networks”, Chemical Engineering Research and Design, Vol.91, pp.874–882, 2013. [PDF] 
30. M. Erdem Gunay, T. Davran-Candan, R. Yildirim, “Analysis of O2 Adsorption Stability and Strength Over Gold Clusters Using DFT and Logistic Regression”, Journal of Cluster Science, Vol. 23, pg. 221–235, 2012. [PDF] 
31. M. Erdem Gunay, F. Akpinar, Z. I. Onsan, R. Yildirim, “Investigation of water-gas shift activity of Pt-MOx-CeO2/Al2O3 (M=K, Ni, Co) using modular artificial neural networks”, International Journal of Hydrogen Energy, Vol. 37, pg. 2094-2102, 2012. [PDF] 
32. M. Erdem Gunay and R. Yildirim, “Neural network analysis of selective CO oxidation over copper-based catalysts for knowledge extraction for published data in the literature”, Industrial Engineering Chemistry Research, Vol. 50, pg. 12488–12500, 2011. [PDF]
33. T. Davran-Candan, M. Erdem Gunay, R. Yildirim, “Structure and activity relationship for CO and O2 adsorption over gold nanoparticles using DFT and artificial neural networks”, Journal of Chemical Physics, Vol. 132, pg. 174113-1-9, 2010. [PDF] 
34. M. Erdem Gunay and R. Yildirim, “Analysis of selective CO oxidation over promoted Pt/Al2O3 catalysts using modular neural networks: Combining preparation and operational variables”, Applied Catalysis A: General, Vol. 377, pg. 174–180, 2010. [PDF] 
35. M. Erdem Gunay, I. E. Nikerel, E. T. Oner, B. Kirdar, R. Yildirim, “Simultaneous modeling of enzyme production and biomass growth in recombinant Escherichia coli using artificial neural networks”, Biochemical Engineering Journal, Vol. 42, pg. 329-335, 2008. [PDF] 
36. M. Erdem Gunay and R. Yildirim, “Neural network aided design of Pt-Co-Ce/Al2O3 catalyst for selective CO oxidation in hydrogen-rich streams”, Chemical Engineering Journal, Vol. 140, pg. 324–331, 2008. [PDF]

Refereed Conference Publications

1. M. Erdem Günay, Lemi Türker, Alper Tapan, “Machine Learning on Electrocatalytic reduction of CO₂ for Preventing Atmospheric Pollution and Producing Valuable Chemicals”, 2019 International Conference on Green Energy and Environmental Technology, 24-27 July 2019, Paris, France
2. Dilara M. Subaşı, Ozan Şahin, M. Erdem Günay, “Decision Tree Analysis of Algae Growth for Oil Extraction and Biodiesel Production” INERMA “International Energy Raw Materials and Energy Summit”, 27-30 September 2017, Istanbul, Turkey
3. M. Erdem Günay, K. M. Murat Tunç, “Dynamic Modeling and Simulation of a Molten Salt Storage Tank for a Parabolic Trough Solar Power Plant” INERMA “International Energy Raw Materials and Energy Summit”, 27-30 September 2017, Istanbul, Turkey
4. Meltem Baysal, M. Erdem Günay, Ramazan Yıldırım, “Knowledge Extraction for Steam Reforming of Methane: A Statistical Review of Past Publications by Decision Trees” 13th European Congress on Catalysis (Europacat 2017),  27-31 August 2017, Firenze, Italy
   
5. M. Erdem Gunay Cagla Odabasi, Ramazan Yildirim, “Analysis of the Past Published Data on WGS Reaction Over Pt and Au Catalysts by Decision Trees”, XXI Int. Conference on Chemical Reactors, 22-25 September 2014, Delft, Netherlands.
6. M. Erdem Günay “Predicting the Electricity Demand of  Turkey Using the Past Data” International Conference on Energy and Management, 5-7 June 2014, Istanbul, Turkey
7. M. Erdem Gunay and Ramazan Yildirim, “Knowledge Extraction for Catalytic Reactions From Experimental Data Using Data Mining Tools”, Europacat XI, 1-6 September 2013, Lyon, France.
8. M. Erdem Gunay and Ramazan Yildirim, “Knowledge Extraction from Published Data for Selective CO Oxidation Using Data Mining Techniques”, 4th National Catalysis Conference, 21-24 March 2012, Kocaeli, Turkey.
9. M. Erdem Gunay and Ramazan Yildirim, “Modeling of Preferential CO Oxidation over Promoted Au/Al2O3 Catalysts Using k-means Clustering and Modular Neural Networks”, 3th National Catalysis Conference, 28 April-1 May 2010, Zonguldak, Turkey.
10. M. Erdem Gunay and Ramazan Yildirim, “Analysis of preferential CO oxidation over promoted Au/Al2O3 Catalysts Using Partially Connected Artificial Neural Networks”, Europacat IX, 30 August-4 September 2009, Salamanca, Spain.
11. M. Erdem Gunay and Ramazan Yildirim, “CO Oksidasyon Katalizörlerinin Yapay Sinir Aðlarýyla Modellenmesi”, 8th National Chemical Engineering Conference, 26-29 August 2008, Malatya, Turkey.
12. M. Erdem Gunay and Ramazan Yildirim, “Modular neural network aided modeling of Pt/Al2O3 catalysts for selective CO oxidation in hydrogen-rich streams”, 14th International Congress on Catalysis, 13-18 July 2008, Seoul, Korea.
13. M. Erdem Gunay and Ramazan Yildirim, “Modeling Pt/Al2O3 catalysts for selective CO oxidation in hydrogen-rich streams by partially connected neural networks”, 2nd National Catalysis Conference, 18-21 June 2008, Erzurum, Turkey.
14. M. Erdem Gunay and Ramazan Yildirim, “Neural Network Modeling of Low Temperature CO Oxidation Over Pt Based Catalysts”, 2nd Europacat VIII, 26-31 August 2007, Turku, Finland.

• 2013, Postdoctoral Research Associate, Catalyst Design and Reaction Engineering Laboratory, Bogazici University
• 2012, PhD., Chemical Engineering, Bogazici University
• 2005, MS., Chemical Engineering, Bogazici University
• 2002, BS., Chemical Engineering, Bogazici University

• Forecasting energy and electricity demand by machine learning
• Modeling, simulation, and optimization of energy systems
• Renewable energy including solar, wind, and bioenergy systems