The School of Computing is home to dynamic departments, each specializing in distinct yet interconnected domains. These departments, namely Artificial Intelligence & Machine Learning (AI&ML), Computer Science Engineering, and Data Science with IoT, form the backbone of our research ecosystem.
Within the School of Computing, we are committed to advancing knowledge and addressing the challenges of our rapidly evolving digital landscape. Our research agenda is driven by a set of thrust areas that reflect the diverse expertise and interests of our faculty and students. These thrust areas serve as focal points for ground-breaking research, fostering collaboration and interdisciplinary exploration.
The key thrust research areas within the School of Computing include:
Artificial Intelligence (AI):
AI research aims to develop algorithms, models, and systems that can exhibit intelligent behavior and perform tasks that traditionally require human intelligence. The key research areas of AI include Natural Language Processing (NLP), Computer Vision, Robotics, and Reinforcement Learning.
AI research is interdisciplinary, involving contributions from computer science, mathematics, neuroscience, psychology, and other fields. It is a rapidly evolving field with continuous advancements that have the potential to impact various aspects of society and industry. Researchers in AI focus on pushing the boundaries of what machines can achieve and addressing challenges to ensure the responsible and beneficial deployment of AI technologies.
Faculty received funds from DST NCSTC to nurture young minds with Foundations in Artificial Intelligence, Data Science and cloud computing for the region of Chittoor District in Andhra Pradesh. Collaborative research proposals are submitted to HEPB in association with other universities.
Machine learning:
Machine learning is considered one of the thrust areas in computer science due to its significant impact on various aspects of technology, industry, and society. Several factors contribute to the prominence of machine learning in the field such as Data Explosion, and efficiency, personalization, predictive analysis.
The dynamic nature of machine learning research fosters continuous innovation. Constantly pushing the envelope of what is feasible, new algorithms, architectures, and approaches are being developed.
Machine learning has applications across various disciplines, including healthcare, finance, cyber security, marketing, and more. Its versatility makes it an essential tool for solving problems in diverse domains.
Deep learning:
Deep learning holds significant importance in various fields due to its ability to automatically learn complex representations from data and solve challenging problems.
Deep learning has revolutionized image and speech recognition, achieving state-of-the-art performance in tasks such as object detection, image classification, speech-to-text conversion, and more. Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) are commonly used architectures in these applications.
Deep learning plays a crucial role in extracting insights from large datasets, improving data analytics, and supporting business intelligence. This is valuable for making informed decisions and gaining a competitive edge. The continuous evolution of deep learning is fuelled by ongoing research and innovations in model architectures, training techniques, and interpretability. This contributes to the development of more efficient and powerful deep learning models.
Research is carried out in the domain of deep learning and implemented various deep learning algorithms in Healthcare, Weather forecasting, Agriculture, Education and stock market.
Computer Vision:
Computer vision is a multidisciplinary field that enables computers to interpret and understand visual information from the world. It involves the development of algorithms and models that allow machines to acquire, process, analyze, and interpret images or videos in a way that is similar to human vision. The goal of computer vision is to enable machines to gain a high-level understanding of visual data and make intelligent decisions based on that understanding.
Software Engineering
We are focusing on software development approaches, quality of software, testing of software, maintenance of software, security measures for software, machine learning models in software engineering, DevOps, and architecture of software.
Networking and Communication
Major research in Networking and Communication themes being pursued by the faculty with a wide range of themes Spectrum sensing algorithms, Cognitive radio architecture and software abstractions, and Cooperative wireless communications.
Image and Video Processing
Developing navigation applications for visually impaired through real-time object detection algorithms which are capable of identifying and classifying objects in diverse environment using Deep Learning Techniques.
Cloud Computing
Developing algorithms for dynamic resource allocation adaptable for dynamic workloads, load balancing mechanisms and energy-efficient resource scheduling.
Internet of Things
Developing IoT architectures and algorithms for IoT security classification such as Device Tampering, Eavesdropping, DoS, DDoS, Man-in-the-Middle, Device Spoofing and Replay attacks etc.
Through our collaborative and forward-thinking approach, the School of Computing at Mohan Babu University is at the forefront of shaping the digital landscape. We invite researchers, students, and industry partners to join us in exploring these exciting thrust areas and contributing to the transformative impact of computing on society. Together, we strive to push the boundaries of knowledge and create a future where technology serves as a catalyst for positive change.
Electrical Vehicles
In the realm of sustainable transportation, MBU is at the forefront with its dedicated research thrust in Electric Vehicles (EVs). Our goal is to lead the revolution in green transportation through innovative research and practical solutions.
Our research focus encompasses the entire spectrum of electric vehicle technology – from advanced battery systems and electric motor design to charging infrastructure and energy management. We are committed to addressing the key challenges and unlocking the full potential of EVs.
Sustainability is at the heart of our EV research. We’re not just developing technology; we’re fostering a new era of environmentally friendly transportation. Our initiatives contribute to reducing carbon footprints and paving the way for a more sustainable future.
Our approach to EV research is holistic, combining rigorous academic study with practical, hands-on experience. We offer specialized courses and workshops, providing students with the knowledge and skills needed to be leaders in the field of electric vehicle technology.
Power Systems
In the realm of electrical engineering, “Power Systems” stands as a vital thrust area that addresses the reliability and efficiency of electrical power systems. It encompasses various aspects related to the delivery of clean and stable electrical power to end-users.
At MBU, our focus on Power Systems research involves in-depth studies on mitigating issues such as voltage sags, surges, harmonics, and interruptions. Our dedicated faculty and researchers explore innovative solutions to enhance the quality of electrical power, ensuring it meets the stringent requirements of modern industries and residential applications.
Key research areas within Power Systems at MBU include advanced power conditioning techniques, the integration of renewable energy sources, smart grid technologies, and the development of robust power electronic devices. Students and researchers delve into cutting-edge projects, applying theoretical knowledge to real-world challenges in the field.
By emphasizing Power Systems as a thrust area, MBU aims to contribute to the advancement of technology and the sustainable development of power systems, preparing our students to excel in the dynamic and evolving field of electrical engineering.
Embedded Systems and IoT Applications
At Department of EEE, MBU, we recognize the transformative impact of embedded systems in the contemporary technological landscape. Our dedicated research thrust in Embedded Systems is at the forefront of advancing knowledge and innovation in this dynamic field.
Our focus is on cutting-edge research that pushes the boundaries of what’s possible in Internet of Things (IoT) devices, automotive electronics, robotics, and wearable technology. Our state-of-the-art labs and research centers are hubs of creativity and innovation, where students and faculty collaborate on ground-breaking projects.
Control Systems
At MBU, we are dedicated to advancing the field of Control Systems through our focused research thrust area. Our commitment lies in exploring and innovating within the realms of automation, robotics, and intelligent system control
Our research in Control Systems spans a wide array of applications, from industrial automation to autonomous vehicles and smart grids. Our faculty and researchers are engaged in pioneering work, pushing the frontiers of how control systems can be applied to improve efficiency, safety, and functionality in various sectors.
We believe in the power of collaboration to drive innovation. Our partnerships with leading companies in automation, manufacturing, and robotics ensure that our research is both relevant and impactful, addressing real-world challenges and preparing our students for future careers.
Control Systems is inherently multidisciplinary, and our research thrust reflects this. Integrating knowledge from electrical engineering, mechanical engineering, computer science, and applied mathematics, we offer a rich, comprehensive approach to the study and research of control systems.
Power Electronics
Our researchers focus on advancing power electronics, exploring innovations in renewable energy integration, converter design, and control strategies for efficient electrical power management and distribution. Some potential thrust areas of research in Power Electronics could include:
Renewable Energy Integration: Research in developing power electronic converters and control strategies for efficient integration of renewable energy sources like solar, wind, and hydro power into the grid.
Power Semiconductor Devices: Advancements in semiconductor materials, designs, and fabrication techniques to improve the efficiency, power handling capability, and reliability of devices like MOSFETs, IGBTs, and diodes.
Smart Grid Technologies: Investigating power electronics-based solutions for grid modernization, energy management, voltage regulation, and power quality improvement in smart grids.
Power Supplies and Converters: Researching novel topologies, control algorithms, and designs for power supplies, DC-DC converters, and inverters with high efficiency, reduced size, and improved performance.
Physics:
Chemistry:
Mathematics:
Fluid Dynamics: Fluid dynamics is a branch of engineering that studies the behavior of fluids, which include liquids and gases, when they are in motion. It deals with the understanding and analysis of fluid flow, turbulence, and the forces and pressures exerted by fluids on solid boundaries. Fluid dynamics plays a crucial role in various scientific and engineering applications, such as aerodynamics, hydrodynamics, weather patterns, and the design of fluid systems. Key concepts and principles in fluid dynamics include: Continuum Hypothesis, Fluid Flow, Equations of Motion, Incompressible and Compressible Flows, Streamlines, Pathlines, and Streaklines, Viscosity, Boundary Layers.
Cryptography: Cryptography is the study of secure communications techniques that allow only the sender and intended recipient of a message to view it’s contents. When transmitting electronic data, the most common use of a cryptography is to encrypt and decrypt email and other plain-text messages.
Cryptography techniques have wide range applications in everyday life. For example, authentication of digital signatures, time stamping, transformation of electronic money, encryption and decryption in email, encryption of messages in whatsapp and instagram, simcard authentication and so on.
Algebra: Algebra is a crucial component of mathematics education as it introduces learners to the mathematical world of modelling relationships and handling abstract quantities. The increasing volume of scholarly work in the field has been analyzed qualitatively in numerous systematic reviews—a quantitative breakdown of the field, however, remains a desideratum to date. With this study we contribute to closing this gap by reporting on the results of a bibliometric analysis. On the one hand, we provide insight into the current state of algebra education from primary up to tertiary education by describing the scientific production and its bibliographic topography. On the other hand, we analyzed the data to identify trends and future directions. The results of our study indicate, among other aspects, that APOS Theory and Realistic Mathematics Education are emerging themes in the field that have great potential to shape future research.
In real life there are a plethora of instances where Algebra is being used. Its utility is being universally quantified in all walks of our lives. For instance, take a shopping domain where we need to be budgeted with the cart items and some algebraic formulation is applied. The economy of every country is analyzed with the help of economists taking the help of algebra to solve the problems related to debts or loans.
