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
Nadeem Hussain Solangi, Lakshmi Prasanna Lingamdinne, Rama Rao Karri, Nabisab Mujawar Mubarak, Shaukat Ali Mazari, and Janardhan Reddy Koduru
Elsevier BV
Mohammad Hadi Dehghani, Nadeem Hussain Solangi, Nabisab Mujawar Mubarak, Natarajan Rajamohan, Subrajit Bosu, Amina Othmani, Md. Ahmaruzzaman, Soumya Ranjan Mishra, Baishali Bhattacharjee, Vishal Gadore,et al.
Elsevier BV
Hussain Udayagiri, Siva Sankar Sana, Lakshman Kumar Dogiparthi, Ramakrishna Vadde, Rajender S. Varma, Janardhan Reddy Koduru, Gajanan Sampatrao Ghodake, Adinarayana Reddy Somala, Vijaya Kumar Naidu Boya, Seong-Cheol Kim,et al.
Springer Science and Business Media LLC
Preethi Vijayarengan, Sri Chandana Panchangam, Ananth Stephen, Gokulanandhan Bernatsha, Gokul Krishnan Murali, Subramanyam Sarma Loka, Sathish Kumar Manoharan, Venkatramu Vemula, Rama Rao Karri, and Gobinath Ravindran
Springer Science and Business Media LLC
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.
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.
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.
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
Lakshmi Prasanna Lingamdinne, Rakesh Kulkarni, Janardhan Reddy Koduru, Rama Rao Karri, Adinarayana Reddy Somala, Nadeem Hussain Solangi, Nabisab Mujawar Mubarak, Jong-Soo Choi, Yoon-Young Chang, and Mohammad Hadi Dehghani
Elsevier BV
Pingili Vydehi, Gobinath Ravindran, G. Shyamala, Sri Bala G, Vamsi Nagaraju T, Mallaiah Mekala, and Rama Rao Karri
Elsevier BV
Sing Ying Lee, Yie Hua Tan, Sie Yon Lau, Nabisab Mujawar Mubarak, Yee Yong Tan, Inn Shi Tan, Yeong Huei Lee, Mohd Lokman Ibrahim, Rama Rao Karri, Mohammad Khalid,et al.
Elsevier BV
Nadeem Hussain Solangi, Rama Rao Karri, Nabisab Mujawar Mubarak, Shaukat Ali Mazari, and Bharat Prasad Sharma
Royal Society of Chemistry (RSC)
Carbon nanotubes (CNTs) and MXenes are promising as targeted sensing agents in advanced functional materials. MXenes are more suitable for biosensing applications due to their versatility and compatibility with aquatic environments.
Rakesh Kulkarni, Lakshmi Prasanna Lingamdinne, Janardhan Reddy Koduru, Rama Rao Karri, Suresh Kumar Kailasa, Nabisab Mujawar Mubarak, Yoon-Young Chang, and Mohammad Hadi Dehghani
Elsevier BV
Nadeem Hussain Solangi, Aumber Abbas, Nabisab Mujawar Mubarak, Rama Rao Karri, Shrouq H. Aleithan, Jamal Kazmi, Waqas Ahmad, and Karim Khan
Elsevier BV
Matin Darwisy Osman, Nurizzati Erina Selimi, Abdul Bari Juffri, Nabisab Mujawar Mubarak, and Rama Rao Karri
Wiley
AbstractPlastic waste is utilized aggressively for food, product packaging, cosmetics, toys, clothes, and even furniture. As a result, discarded plastic as a waste has grown uncontrollably worldwide, most of it ending up as landfill. With increasing concern, researchers have made efforts to convert this plastic waste into a more useful product. Along these lines, this study focuses on producing 10 tons of diesel per day through fast pyrolysis at 450 °C in the fluidized bed reactor for a feed rate of 3000 kg of plastic waste per hour. The production was simulated in Aspen HYSYS V11 to ensure the desired yield. Further, a detailed economic analysis is carried out to estimate the return on investment and total cost per year, as well as the payback period and the profit for different scenarios.
Nadeem Hussain Solangi, Nabisab Mujawar Mubarak, Rama Rao Karri, Shaukat Ali Mazari, and Janardhan Reddy Koduru
Elsevier BV
Rakesh Kulkarni, Lakshmi Prasanna Lingamdinne, Janardhan Reddy Koduru, Rama Rao Karri, Yoon-Young Chang, Suresh Kumar Kailasa, and Nabisab Mujawar Mubarak
American Chemical Society (ACS)
Kashleta Srikumar, Yie Hua Tan, Jibrail Kansedo, Inn Shi Tan, Nabisab Mujawar Mubarak, Mohd Lokman Ibrahim, Peter Nai Yuh Yek, Henry Chee Yew Foo, Rama Rao Karri, and Mohammad Khalid
Elsevier BV
Mina Aghaei, Nahid Khoshnamvand, Hosna Janjani, Mohammad Hadi Dehghani, and Rama Rao Karri
Springer Science and Business Media LLC
Nadeem Hussain Solangi, Rama Rao Karri, Nabisab Mujawar Mubarak, and Shaukat Ali Mazari
Elsevier BV
Yao Zu Tan, Yie Hua Tan, Jibrail Kansedo, N. M. Mubarak, Bridgid Lai Fui Chin, Rama Rao Karri, Mohd Lokman Ibrahim, and Peter Nai Yuh Yek
Springer Science and Business Media LLC
Nabisab Mujawar Mubarak, Nadeem Hussain Solangi, Rama Rao Karri, Yie Hua Tan, Shahriar Shams, Khairunnisa Nabilah Ruslan, Shaukat Ali Mazari, and Mohammad Khalid
Springer Science and Business Media LLC
Mohammad Hadi Dehghani, Shabnam Ahmadi, Soumya Ghosh, M. Shahnawaz Khan, Amina Othmani, Waheed Ahmad Khanday, Ömür Gökkuş, Christian Osagie, Md. Ahmaruzzaman, Soumya Ranjan Mishra,et al.
Elsevier BV
Shivam Pandey, Ajay Singh, Anuj Kumar, Inderjeet Tyagi, Rama Rao Karri, Rama Gaur, Hamedreza Javadian, and Monu Verma
Elsevier BV