7+ Crores worth
MBU fosters and promotes scientific brilliance through faculty-driven research in a multi-disciplinary and diverse university organizational structure. Mohan Babu University acts as a facilitation centre which plays a crucial role in giving focused attention in leading and organizing the research activities of the university's many departments and research centres. MBU has created an environment that supports the advancement of research excellence through a variety of tasks, such as supporting the conception, planning, and execution of research projects as well as the coordination, oversight, and evaluation of student research.
The Centre motivates the research activity in the field of MEMS by proper utilization of the facilities provided by NPMASS from design to fabrication of prototype MEMS products and specific field applications. NMDC is equipped with licensed software such as COVENTOR MEMS+, Intellisuite and COMSOL under National Program on Micro and Smart Systems (NPMASS).
The Micromachining Research Centre at Mohan Babu University is a dedicated facility focused on advancing the field of micromachining. Through cutting-edge research and collaboration, the center explores innovative techniques and technologies for precise fabrication and machining at the microscale, enabling breakthroughs in various industries and applications.
CCSP focuses on developing ground breaking solutions to enhance communication systems and optimize signal processing techniques. With a team of highly skilled researchers and cutting-edge facilities, the centre actively collaborates with industry partners and academic institutions to address industry challenges and explore emerging trends.
The Research Centre is actively engaging in research and development in the field of Low Power CMOS VLSI Design, Circuit and Device Modelling in VLSI Applications, Network on Chip, Energy Harvesting Applications, Wearable Devices, Sensors in Medical and Environmental Applications, Error Mitigation in High Density Memories, Remote Sensing, IOT Application, and other related areas.
The Intelligent Computing Research Centre is focused on the development of Intelligent Computing algorithms and models for solving real world problems. The members are actively working in the area of Intelligent Computing and its related research fields like Computer Vision, Image/Speech/Video Processing, Medical Image Processing, and NLP.
The Centre for Energy Research at Mohan Babu University is a dedicated facility focused on advancing research and development in the field of energy. It aims to explore innovative technologies, sustainable energy sources, and promote energy efficiency to address the growing energy challenges of today's world.
The Computer Networks and Cyber security Research Centre at Mohan Babu University is a dedicated facility that conducts innovative studies in the fields of computer networks and cyber security. Its primary focus is on the development of advanced technologies and strategies for protecting information systems, detecting threats, and improving network performance and security.
The Centre for Applied Sciences at Mohan Babu University is a specialized academic department that focuses on the practical application of scientific knowledge and principles. It offers a diverse range of programs and courses in various scientific disciplines, providing students with hands-on training and skills necessary for real-world applications.
The Bio-Signal Research Centre at Mohan Babu University is a state-of-the-art facility dedicated to studying and analyzing biological signals. It employs advanced technologies and methodologies to investigate various aspects of human physiology, including brain activity, cardiovascular functions, and muscular responses, contributing to advancements in medical research and healthcare practices.
The Centre for Biological and Allied Sciences at Mohan Babu University is a research facility dedicated to the study of various biological disciplines. It conducts advanced research, promotes interdisciplinary collaboration, and provides a platform for scientific discovery and innovation.
The Data Analytics Research Centre at Mohan Babu University is a hub of innovative research, focusing on exploring and harnessing the power of data analytics. With cutting-edge technologies and a team of expert researchers, the center aims to drive data-driven insights and solutions for various industries.
The Geotechnical Engineering Research Centre at Mohan Babu University is a specialized facility dedicated to advancing the field of geotechnical engineering. It conducts research, experiments, and analysis related to soil mechanics, foundation engineering, and slope stability to develop innovative solutions for infrastructure development and environmental sustainability.
The Water and Environment Research Centre at Mohan Babu University is a dedicated facility focused on studying and analyzing the relationship between water resources and the environment. Through research and innovation, the center aims to address critical water-related challenges and promote sustainable solutions for the preservation and management of water and the environment.
The Centre for Pharmaceutical Sciences Research Centre at Mohan Babu University is a leading institution dedicated to advancing pharmaceutical research. It focuses on innovative drug discovery, development, and analysis, aiming to improve healthcare outcomes. The center fosters collaboration, cutting-edge technologies, and interdisciplinary approaches to address critical challenges in the field of pharmaceutical sciences.
The Research Centre for Health promotes innovative research with state-of-the-art facilities, the center focuses on a wide range of healthcare areas, including medical sciences, public health, biomedical engineering, and pharmaceutical sciences. Through interdisciplinary collaboration and cutting-edge technology, the center aims to improve patient outcomes, develop novel treatment approaches, and contribute to healthcare policy development.
The Centre for Rural Development at Mohan Babu University focuses on addressing the unique challenges and needs of rural communities. Through research, training, and outreach programs, the center strives to empower rural areas with sustainable development strategies, improving livelihoods and promoting social and economic growth.
The Tribology Center at Mohan Babu University is a specialized research facility focused on the study of friction, wear, and lubrication in various materials and systems. It conducts cutting-edge research, offers advanced training programs, and collaborates with industries to develop innovative solutions for enhancing performance and durability in engineering applications.
This is a specialized research and educational facility dedicated to the advancement of machine learning technologies. It serves as a hub for interdisciplinary collaboration among researchers, academics, and industry professionals. The center conducts cutting-edge research, develops innovative algorithms, and offers training programs and workshops to foster the growth and application of machine learning in various fields.
|K. Lakshmi Narasimhamu, et al.||Performance improvement of turning operation during processing of AISI 304 with novel textured tools under minimum quantity lubrication using hybrid optimization technique||Materials and Manufacturing Processes||4.783|
|Krupakaran Radhakrishnan Lawrence, et al.||Exploration over combined impacts of modified piston bowl geometry and tert-butyl hydroquinone additive-included biodiesel/diesel blend on diesel engine behaviors||Fuel||8.035|
|N. Manikandan et al.||Investigations on machinability characteristics of Cast Aluminum Alloy based (LM 26+Graphite+Fly ash) Hybrid Metal Matrix Composites for automobile components||Materials and Manufacturing Processes||4.783|
|B. Sachuthananthan et al.||Heat transfer enhancement in oblique finned curved microchannel using hybrid nanofluid||International Journal of Thermal Sciences||4.779|
|Natarajan Manikandan et al.||Investigations on machinability and evolution of hybrid artificial intelligent tools for contemporary machining of nickel alloy||Materials and Manufacturing Processes||4.783|
|S. Ragu Nathan et al.||Investigations on microstructure, thermo-mechanical and tribological behavior of graphene oxide reinforced AA7075 surface composites developed via friction stir processing||Journal of Manufacturing Processes||5.684|
|Krupakaran Radhakrishnan Lawrence et al.||A feasible and promising approach for diesel engine fuelled with a blend of biodiesel and low-viscosity Cinnamon oil: A comprehensive analysis of performance, combustion, and exergy||Journal of Cleaner Production||11.072|
|Harathi, N., et.al,||PrGO decorated TiO2 nanoplates hybrid nanocomposite for augmented NO2 gas detection with faster gas kinetics under UV light irradiation,||Sensors and Actuators B: Chemical (Elsevier)||9.221|
|Avireni Srinivasulu et. al||Sentiment Analysis of COVID-19 Tweets Using Deep Learning and Lexicon-Based Approachesq||Sustainability (MDPI)||3.889|
|Suresh Kallam et al.||Deep convolution neural networks learned image classification for early cancer detection using lightweight||Soft Computing||3.732|
|Suresh Kallam et al.||Efficient tumor volume measurement and segmentation approach for CT image based on twin support vector machines.||Neural Comput. Appl||5.102|
|V. Anantha Natarajan et al.||Deep Learning Based Intrusion Detection in Cloud Services for Resilience Management||Computers, Materials & Continua||3.86|
|Gurram Sunitha , et al.||A multi-objective load balancing and power minimization in cloud using bio-inspired algorithms||Computers and Electrical Engineering||4.89|
|Gurram Sunitha a, et al.||Intelligent deep learning based ethnicity recognition and classification using facial images||Image and Vision Computing>||4.63|
|Gurram Sunitha a, et al.||Modeling of Chaotic Political Optimizer for Crop Yield Prediction||Intelligent Automation & Soft Computing||3.401|
|Gurram Sunitha a, et al.||Deep Learning-Based Skin Lesion Diagnosis Model Using Dermoscopic Images||Intelligent Automation & Soft Computing||3.401|
|Sunil Kumar, M., et al.||Power aware virtual machine placement in IaaS cloud using discrete firefly algorithm||Applied Nanoscience||3.674|
|K. Reddy Madhavi, et al.||Cardiac arrhythmia detection using dual-tree wavelet transform and convolutional neural network||Soft Computing||3.732|
|J Avanija , et al.||Deep convolution neural networks learned image classification for early cancer detection using lightweight||Soft Computing - A Fusion of Foundations, Methodologies and Applications||3.492|
|Ganesh Davanam ,et al.||Multi-Controller Model for Improving the Performance of IoT Networks||Energies||3.252|