Dr. Rama Rao Karri
@utb.edu.bn
Senior Assistant Professor, Petroleum and Chemical Engineering,
Universiti Teknologi Brunei
Dr. Rama Rao Karri is a Professor (Sr. Asst) in Universiti Teknologi Brunei, Brunei Darussalam. He has PhD from Indian Institute of Technology (IIT) Delhi, Masters from IIT Kanpur in Chemical Engineering. He has worked as Post-Doctoral research fellow at NUS, Singapore for about six years and has over 20 years of working experience in Academics, Industry, and Research. He has experience of working in multidisciplinary fields and has expertise in various evolutionary optimization techniques and process modeling. As of 15 May 2024, he has published 230 research articles in reputed journals, book chapters, and conference proceedings with a combined Impact factor of 853.13 and has an h-index of 42 (Scopus-citations: 5600+) and 45 (Google Scholar-citations: 6400+). He is an editorial board member in 10 renowned journals and a peer-review member for more than 100 reputed journals. Listed in the top 2% of the world’s most influential scientists for the last 3 years (2021-23).
EDUCATION
Post-Doc at National University of Singapore
PhD in Chemical Engineering from Indian Institute of Technology (IIT) Delhi
M.Tech from IIT Kanpur, India
B. Tech from Andhra University College of Engineering, Visakhapatnam.
RESEARCH, TEACHING, or OTHER INTERESTS
Engineering, Environmental Engineering
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Abhishek Kagalkar, Swapnil Dharaskar, Nitin Chaudhari, Vinay Vakharia, and Rama Rao Karri
Springer Science and Business Media LLC
Sundus Saeed Qureshi, Sheeraz Ahmed Memon, Rafi-ul-Zaman, Nanik Ram, Sumbul Saeed, Nabisab Mujawar Mubarak, and Rama Rao Karri
Springer Science and Business Media LLC
Chandrika Ashwinikumar Pal, Yu-Lim Choi, Lakshmi Prasanna Lingamdinne, Rakesh Kulkarni, Rama Rao Karri, Janardhan Reddy Koduru, and Yoon-Young Chang
Springer Science and Business Media LLC
Remya Ranjith, Bharti Saini, Swapnil Dharaskar, Tushar Patil, Grishma Pindolia, Satyam Shinde, and Rama Rao Karri
Springer Science and Business Media LLC
Abstract The capture of Carbon Dioxide (CO2) is very relevant nowadays as global warming hits its peak. The separation of CO2 using membranes has received wide recognition by researchers because of its energy efficiency. Various Ionic Liquid supported membranes have been proven effective in this regard; however, their higher cost and toxicity are limitations, which opens possibilities for Deep Eutectic Solvents (DES). This work explains how DES gel membrane fabrication separates CO2 from CO2/CH4 mixtures. DES, composed of choline chloride and glycerol, is mixed with Pebax1657 polymer, and Polyvinylidene fluoride sheets are used as supports for casting. Fourier transform infrared spectroscopy has been used to confirm the synthesis of DES. X-ray Diffraction and Scanning Electron Microscopy analysis were used to analyse the membrane structure and cross-section. The physicochemical properties of DES are measured at a temperature range from 293.15 to 343.15 K. Pure and mixed gas permeabilities of CO2 and CH4 with increased pressure have been calculated. The highest permeability values obtained for pure and mixed gas CO2 were 138.98 Barrer and 93.17 Barrer, respectively. Density Functional Theory (DFT) is also applied to predict the interaction energy between DES and gas molecules. The efficacy of the DES-gel membrane was evaluated against other DES-supported liquid Membranes, revealing that DES may serve as a viable substitute for hazardous and costly ionic liquids.
Tiyasha Tiyasha, Chijioke Elijah Onu, Mohamed A. Ismail, Rama Rao Karri, Abdelfattah Amari, Vinay Kumar, and Suraj Kumar Bhagat
Springer Science and Business Media LLC
Leila Rasuli, Mohammad Hadi Dehghani, Mehdi Salari, Rama Rao Karri, Nabisab Mujawar Mubarak, Nadeem A. Khan, Nadeem Hussain Solangi, and Natarajan Rajamohan
Springer Science and Business Media LLC
Kashleta Srikumar, Yie Hua Tan, Umer Rashid, Inn Shi Tan, Jibrail Kansedo, Nabisab Mujawar Mubarak, Peter Nai Yuh Yek, Pui Vun Chai, Rama Rao Karri, and Yen San Chan
Elsevier BV
G. Shyamala, Gobinath Ravindran, Rama Rao Karri, K. Rajesh Kumar, and R. Gokulan
Elsevier BV
Amal Naqillah Binti Mohammed Noraizan, Naurahtul Fikriyah Binti Abdullah, Muhammad Lutfil Quddus Al-waie Bin Abidin, Adam Chin Wai Guo, Nabisab Mujawar Mubarak, and Rama Rao Karri
Springer Science and Business Media LLC
Yathavan Subramanian, Le Minh Thang, Muhammed Ali S A, Ramesh Kumar Gubendiran, Rama Rao Karri, Nabisab Mujawar Mubarak, Veena R, Hayati Yassin, and Abul K Azad
Elsevier BV
Neelima Sathianathan, Rama Rao Karri, Gayathry Gunavijayan, Aparna Raj, Nabisab Mujawar Mubarak, Vidya Latha, Aparna Vadakoot Mukundan, Radhakrishnan Edayileveetil Krishnankutty, and Sudarsanakumar Chellappanpillai
Elsevier BV
Shoaib Ahmed, Yie Hua Tan, Nabisab Mujawar Mubarak, Mohammad Khalid, Najeebullah Channa, Rama Rao Karri, and Khairunnisa Nabilah Ruslan
Elsevier BV
Nadeem Hussain Solangi, Lakshmi Prasanna Lingamdinne, Rama Rao Karri, Nabisab Mujawar Mubarak, Shaukat Ali Mazari, and Janardhan Reddy Koduru
Elsevier BV
Harshit Mittal, Omkar Singh Kushwaha, and Rama Rao Karri
Elsevier
Harshit Mittal, Omkar Singh Kushwaha, and Rama Rao Karri
Elsevier
Rama Rao Karri, Nabisab Mujawar Mubarak, Vinayaka B. Shet, Sandesh Kanthakere, and Mohammad Hadi Dehghani
Elsevier
Abhishek Kagalkar, Janka Patel, Mansi Panchal, Tanvi Gupta, Swapnil Dharaskar, and Rama Rao Karri
Elsevier
Chua Qi Yi, Muhammad Na’im Bin Haji Bujang Haji Bojeng, Siti Khadijah Binti Haji Kamis, Nabisab Mujawar Mubarak, Rama Rao Karri, and Hazwan Azri
Springer Science and Business Media LLC
AbstractPlastic waste is being manufactured for the production of hydrogen. The amount of plastic waste collected annually is 189,953 tonnes from adjacent nations like Indonesia and Malaysia. Polyethylene (PE), Polypropylene (PP), Polyethylene Terephthalate (PET), Polyvinyl chloride (PVC), and Polystyrene (PS) are the five most prevalent forms of plastic found in most waste. Pyrolysis, water gas shift and steam reforming reaction, and pressure swing adsorption are the three main phases utilized and studied. In this research, authors examines the energy consumption on every stage. The plastic waste can be utilized to manufacture many hydrocarbons using the pyrolysis reaction. For this process, fast pyrolysis is being used at a temperature of 500 °C. A neutralization process is also needed due to the presence of Hydrochloric acid from the pyrolysis reaction, with the addition of sodium hydroxide. This is being carried to prevent any damage to the reactor during the process. Secondly, the steam reforming process continues after the water gas shift reaction has produced steam and carbon monoxide, followed by carbon dioxide and hydrogen formation. Lastly, pressure swing adsorption is designed to extract H2S and CO2 from the water gas shift and steam reforming reaction for greater purity of hydrogen. From the simulation study, it is observed that using various types of plastic waste procured (total input of 20,000 kg per hour of plastics) from, Brunei Darussalam, Malaysia and Indonesia, can produce about 340,000 tons of Hydrogen per year. Additionally, the annual profit of the Hydrogen production is estimated to be between $ 271,158,100 and $ 358,480,200. As per the economic analysis, it can be said that its a good to start hydrogen production plant in these regions.
Sumalatha Jorepalli, Sreedevi Adikay, Radha Rani Chinthaparthi, Chandra Sekhar Reddy Gangireddy, Janardhan Reddy Koduru, and Rama Rao Karri
Springer Science and Business Media LLC
AbstractA series of novel chromone derivatives of (N-(4-oxo-2-(trifluoromethyl)-4H-chromen-6-yl) benzamides) were synthesized by treating 7-amino-2-(trifluoromethyl)-4H-chromen-4-one with K2CO3 and/or NaH, suitable alkyl halides and acetonitrile and/or 1,4-dioxane. The obtained products are in high yields (87 to 96%) with various substituents in short reaction times with no more by-products and confirmed by FT-IR, 1H, and 13C-NMR Spectral data. The in vitro cytotoxic activity was examined against two human cancer cell lines, namely the human lung adenocarcinoma (A-549) and the human breast (MCF-7) cancer cell line. Compound 4h showed promising cytotoxicity against both cell lines with IC50 values of 22.09 and 6.40 ± 0.26 µg/mL respectively, compared to that of the standard drug. We also performed the in vitro antioxidant activity by DPPH radical, hydrogen peroxide, NO scavenging, and total antioxidant capacity (TAC) assay methods, and they showed significant activities. The possible binding interactions of all the synthesized chromone derivatives are also investigated against selective pharmacological targets of human beings, such as HERA protein for cytotoxic activity and Peroxiredoxins (3MNG) for antioxidant activity which showed closer binding free energies than the standard drugs and evidencing the above two types of activities.
Mazhar Ali, Tooba Sarwar, Nabisab Mujawar Mubarak, Rama Rao Karri, Lubna Ghalib, Aisha Bibi, and Shaukat Ali Mazari
Springer Science and Business Media LLC
AbstractIonic liquids (ILs) are highly effective for capturing carbon dioxide (CO2). The prediction of CO2 solubility in ILs is crucial for optimizing CO2 capture processes. This study investigates the use of deep learning models for CO2 solubility prediction in ILs with a comprehensive dataset of 10,116 CO2 solubility data in 164 kinds of ILs under different temperature and pressure conditions. Deep neural network models, including Artificial Neural Network (ANN) and Long Short-Term Memory (LSTM), were developed to predict CO2 solubility in ILs. The ANN and LSTM models demonstrated robust test accuracy in predicting CO2 solubility, with coefficient of determination (R2) values of 0.986 and 0.985, respectively. Both model's computational efficiency and cost were investigated, and the ANN model achieved reliable accuracy with a significantly lower computational time (approximately 30 times faster) than the LSTM model. A global sensitivity analysis (GSA) was performed to assess the influence of process parameters and associated functional groups on CO2 solubility. The sensitivity analysis results provided insights into the relative importance of input attributes on output variables (CO2 solubility) in ILs. The findings highlight the significant potential of deep learning models for streamlining the screening process of ILs for CO2 capture applications.
Lakshmi Prasanna Lingamdinne, Ganesh Kumar Reddy Angaru, Chandrika Ashwinikumar Pal, Janardhan Reddy Koduru, Rama Rao Karri, Nabisab Mujawar Mubarak, and Yoon-Young Chang
Springer Science and Business Media LLC
AbstractThis study synthesized a highly efficient KOH-treated sunflower stem activated carbon (KOH-SSAC) using a two-step pyrolysis process and chemical activation using KOH. The resulting material exhibited exceptional properties, such as a high specific surface area (452 m2/g) and excellent adsorption capacities for phenol (333.03 mg/g) and bisphenol A (BPA) (365.81 mg/g). The adsorption process was spontaneous and exothermic, benefiting from the synergistic effects of hydrogen bonding, electrostatic attraction, and stacking interactions. Comparative analysis also showed that KOH-SSAC performed approximately twice as well as sunflower stem biochar (SSB), indicating its potential for water treatment and pollutant removal applications. The study suggests the exploration of optimization strategies to further enhance the efficiency of KOH-SSAC in large-scale scenarios. These findings contribute to the development of improved materials for efficient water treatment and pollution control.
Syed Noeman Taqui, Akheel Ahmed Syed, Nabisab Mujawar Mubarak, Rizwan Abutaleeb Farade, M. A. Majeed Khan, Md. Abul Kalam, Mohammad Hadi Dehghani, Manzoore Elahi Mohammad Soudagar, Rauoof Ahmad Rather, Sathgatta Zaheeruddin Mohamed Shamshuddin,et al.
Springer Science and Business Media LLC