Srinivas Tadepalli | Mechanical Engineering | Best Researcher Award

Dr. Srinivas Tadepalli | Mechanical Engineering | Best Researcher Award 

ASSISTANT PROFESSOR,  Imam Mohammad Ibn Saud Islamic University (IMSIU), Saudi Arabia

Dr. Srinivas Tadepalli is an accomplished Assistant Professor of Chemical Engineering at Imam Muhammad Bin Saud Islamic University, Saudi Arabia. With over 9 years of teaching experience and a solid research foundation, he holds a Ph.D. in Chemical Engineering from UPES, Dehradun. His research specializes in environmental engineering, particularly in water pollution, bio-remediation, and low-cost adsorption techniques for heavy metal removal. Dr. Tadepalli has contributed significantly to the academic world with 30+ peer-reviewed publications, several books, and international conference presentations. His teaching portfolio spans undergraduate and postgraduate courses, along with lab development and coordination. He is widely recognized for his innovative teaching methodologies and extensive work on adsorption modeling and simulation. Dr. Tadepalli has also been actively involved in academic coordination, technical events, and quality assurance programs. Passionate about sustainability, he continues to mentor students and contribute to environmental research through interdisciplinary collaborations worldwide.

Professional Profile

🎓 Education 

Dr. Srinivas Tadepalli’s educational journey reflects a strong foundation in engineering disciplines. He earned his Ph.D. in Chemical Engineering (2011–2017) from the University of Petroleum & Energy Studies (UPES), Dehradun, with a focus on environmental pollution and heavy metal remediation using adsorbents. Prior to that, he completed his M.Tech in Gas Engineering (2008–2010) at UPES, achieving 85.4% and submitting a thesis on the design of compact heat exchangers. He holds a B.Tech in Chemical Engineering (2004–2008) from Bapatla Engineering College, affiliated with Acharya Nagarjuna University, where he conducted a project on xylene separation using distillation and extraction. Dr. Tadepalli also excelled in his early education, scoring 88.7% in Intermediate (2002–2004) and 84% in SSC (2001–2002). Throughout his academic path, he demonstrated excellence by securing top state ranks and qualifying national-level competitive exams like GATE and PGECET.

👨‍🏫 Experience 

Dr. Tadepalli has an extensive teaching and research career spanning over 15 years, including international appointments. Since December 2019, he has been serving as Assistant Professor at Imam Mohammad Ibn Saud Islamic University, Saudi Arabia. His past appointments include Assistant Professorships at Chandigarh University, Galgotias University, Bule Hora University (Ethiopia), and NIT Warangal. He began as a teaching assistant and research fellow at UPES Dehradun (2011–2015), where he completed his doctoral research. His responsibilities have included course instruction, lab development, curriculum design, project supervision, and academic coordination. He is adept in subjects such as Thermodynamics, Mass Transfer, Instrumentation, Wastewater Treatment, and Alternative Energy Technologies. Additionally, he has coordinated technical events, handled IPR and publications, and acted as a Department Research Committee (DRC) member. His international teaching exposure and consistent research productivity distinguish him as a versatile and committed academic professional.

🔬 Research Focus 

Dr. Srinivas Tadepalli’s research is deeply rooted in environmental and chemical engineering, with a strong emphasis on adsorption technologies for heavy metal remediation from industrial effluents. His doctoral work explored low-cost biosorbents in packed bed columns, integrating FTIR analysis, AAS, and isotherm-kinetic modeling. He has developed several models like Thomas, BDST, Yoon-Nelson, and Adam–Bohart for batch and continuous adsorption processes. His current interests extend to nanomaterials, biopolymers, biochar, wastewater treatment, thermodynamic modeling, sorption capacity enhancement, and green technologies. Dr. Tadepalli’s collaborative projects have included CFD simulations, composite fiber development, and bioremediation techniques using agricultural and industrial waste. His publications also focus on kinetic studies, statistical optimization, and comparative evaluations of adsorbents. With a practical approach, he links experimental data to real-world industrial solutions. Through interdisciplinary collaborations, he aims to tackle global challenges in sustainable water treatment, waste valorization, and pollution control.

📚Publications Top Notes

 Biosorption of toxic heavy metals on sawdust

Citation:
V. Mishra, S. Tadepalli. CLEAN – Soil, Air, Water, 43(3), 360–367, 2015
Cited by: 24
Summary:
This study explores the efficiency of sawdust as a low-cost biosorbent for the removal of heavy metals like lead and cadmium from contaminated water. The adsorption mechanisms, equilibrium models, and reusability aspects were evaluated to determine its suitability in industrial wastewater treatment.

Synthesis and suitability characterization of microcrystalline cellulose from Citrus x sinensis sweet orange peel fruit waste-based biomass for polymer composite applications

Citation:
M. Palaniappan, S. Palanisamy, R. Khan, N. H. Alrasheedi, S. Tadepalli, et al. Journal of Polymer Research, 31(4), 105, 2024
Cited by: 18
Summary:
This research highlights the extraction of microcrystalline cellulose (MCC) from sweet orange peel waste. The resulting MCC was characterized and tested for compatibility in polymer composite applications, offering a sustainable path for waste valorization and advanced material design.

Novel Ficus retusa L. aerial root fiber: a sustainable alternative for synthetic fibres in polymer composites reinforcement

Citation:
M. Palaniappan, S. Palanisamy, T.M. Murugesan, N.H. Alrasheedi, S. Ataya, S. Tadepalli, et al. Biomass Conversion and Biorefinery, 15(5), 7585–7601, 2025
Cited by: 16
Summary:
The study introduces aerial root fiber from Ficus retusa as a green reinforcement material in polymer composites. Mechanical, thermal, and morphological analyses confirmed its potential as an eco-friendly alternative to synthetic fibers.

 Potential for hydrothermally separated groundnut shell fibers for removal of methylene blue dye

Citation:
D. Sachdev, H. Shrivastava, S. Sharma, S. Srivastava, S. Tadepalli, et al. Materials Today: Proceedings, 48, 1559–1568, 2022
Cited by: 15
Summary:
This paper evaluates the adsorption capacity of groundnut shell fibers, treated hydrothermally, for removing methylene blue dye. It investigates isotherms and kinetics to demonstrate the fiber’s potential in textile effluent remediation.

Removal of Cu(II) and Fe(II) from industrial wastewater using orange peel as adsorbent in batch mode operation

Citation:
S. Tadepalli, K.S.R. Murthy, N.N. Rakesh. International Journal of ChemTech Research, 9(5), 290–299, 2016
Cited by: 12
Summary:
This work examines the batch adsorption of copper and iron ions from wastewater using orange peel. The findings support its cost-effectiveness, with modeling of adsorption behavior using Freundlich and Langmuir isotherms.

🏅 Conclusion

Dr. Srinivas Tadepalli’s distinguished career reflects a steadfast commitment to academic excellence, impactful research, and sustainable innovation in chemical and environmental engineering. His work on low-cost adsorption technologies, wastewater treatment, and environmental remediation has contributed significantly to solving pressing industrial challenges. With a strong foundation in teaching, mentoring, and interdisciplinary collaboration, he continues to bridge the gap between science and society. Looking ahead, Dr. Tadepalli remains devoted to advancing green technologies, guiding future engineers, and fostering global research partnerships that promote cleaner, safer, and more sustainable solutions for the world.

Ralston Pinto | Mechanical Engineering Award | Best Innovation Award

Mr Ralston Pinto | Mechanical Engineering Award | Best Innovation Award

Mr Ralston Pinto, Robert Bosch GmbH,  Germany

Ralston Pinto, born on October 31, 1994, in India, is a mechanical engineer specializing in modeling and simulation of Solid Oxide Fuel Cell (SOFC) contacts. Currently pursuing a PhD at RWTH Aachen University in collaboration with Robert Bosch GmbH and Forschungszentrum Jülich, he focuses on predicting contact mechanics in manufactured cells. Ralston’s expertise extends to finite element methods, material subroutines, and automation using Python and MATLAB. He has also worked on process influences on sensing elements during his master’s thesis at Bosch and has substantial experience in project management from his tenure at Hamon Group in India. Ralston is driven by the challenge of solving real-time engineering problems and values environments that foster innovative thinking and professional growth.

Publication Profile

Orcid 

Education

Ralston Pinto is currently pursuing his PhD in Mechanical Engineering at RWTH Aachen University, with a project focused on modeling and simulation of SOFC contacts in collaboration with Robert Bosch GmbH and Forschungszentrum Jülich. He holds a Master of Science in Mechanical Engineering from Rheinwaal University of Applied Sciences, where he studied process engineering, materials, and simulation, earning a final grade of 1.8. His master’s thesis focused on understanding process influences on crack failure modes in exhaust gas sensors. Ralston completed his Bachelor of Engineering in Mechanical Engineering from the University of Mumbai, specializing in structural mechanics, fluid mechanics, simulation and CAD, thermodynamics, and process engineering. His bachelor’s thesis involved designing and assembling a pedal-powered water purification vehicle to address water scarcity in rural India.

Experience 

Ralston Pinto is currently engaged in doctoral research at Robert Bosch GmbH in Bamberg, Germany, focusing on the modeling and simulation of SOFC contacts using finite element methods. His work involves investigating the pressures on Solid Oxide Cell contacts and developing material subroutines for anisotropic plasticity. Previously, he completed a master’s thesis at Bosch in Stuttgart, Germany, exploring crack failure modes in exhaust gas sensors. Ralston also interned at Bosch, working on developing protective coatings for sensor elements. His early career includes a position as an Assistant Project Engineer at Hamon Group in Mumbai, India, where he coordinated national-level power sector projects, managed resource allocation, and controlled production processes. His diverse experiences have equipped him with a unique understanding of both project management and hands-on engineering tasks.

Awards and Honors

Ralston Pinto has been recognized for his academic excellence and professional contributions. He received the Deutschland Stipendium from the Bundesministerium für Bildung und Forschung, awarded for his outstanding academic performance at Rheinwaal University of Applied Sciences. This prestigious scholarship is given to students who demonstrate exceptional academic achievements and social commitment. During his tenure at Bosch, Ralston was involved in significant research projects that led to the implementation of his findings in the field. His contributions to the modeling and simulation of SOFC contacts and process influences on sensor failure modes have been well-received in the scientific community. Ralston’s dedication to solving real-world engineering problems and his innovative approach to research have earned him accolades and recognition from both academic and professional circles.

Research Focus 

Ralston Pinto’s research primarily focuses on the modeling and simulation of Solid Oxide Fuel Cell (SOFC) contacts. His doctoral thesis at RWTH Aachen University, in collaboration with Robert Bosch GmbH and Forschungszentrum Jülich, aims to predict the contact mechanics of manufactured cells, incorporating non-ideal aspects like tolerance distributions and uneven profiles. Ralston employs finite element methods, homogenization techniques, and anisotropic plasticity subroutines in his simulations. He also integrates Python and MATLAB for automation and data generation, utilizing machine learning methods for optimization. His master’s research at Bosch involved understanding process influences on crack failure modes in exhaust gas sensors, where he developed experimental methods and analyzed empirical data. Ralston’s broad research interests include computational fluid dynamics (CFD), materials science, process engineering, and the development of innovative solutions for real-world engineering challenges.

Publication Top Notes

A constitutive model for homogenized solid oxide cell contacts with dimensional tolerances

Homogenization of fuel cell interconnects to determine the contacting configuration in a stack