Research output per year
Research output per year
SCHOOL OF COMPUTER ENGINEERING
OVERVIEW
The School of Computer Engineering at MIT, MAHE brings together faculties from the fields of Computer Science, Information and Communication Technology, and Data Science & Computer Applications. It provides a rich academic ecosystem in AI & Machine Learning, High-Performance Computing, Networks & Security, Data Science, and Multimedia Systems, driven by combined strengths in teaching excellence, innovation, research, and active industry collaboration.
The School of Computer Engineering offers a globally aligned curriculum reinforced with experiential learning, international collaborations, and access to state-of-the-art research facilities. There is a wide range of undergraduate, postgraduate, and doctoral programs, supported by experienced faculty, advanced infrastructure, with focused research groups on innovation and real-world applications. Faculty and students actively contribute to research through funded grants, published papers in reputed journals, and the filing of patents across emerging areas of technology. Several programs offered are accredited by national and international agencies including NBA and IET (UK).
Graduates from the School are equipped to pursue careers across diverse sectors including information technology, aerospace, healthcare, defense, finance, telecommunications, and smart infrastructure systems, and have been placed in top-tier companies such as Microsoft, Amazon, Deloitte, Goldman Sachs, Oracle, Cisco, and Samsung.
AREAS OF EXPERTISE
1.AI AND MACHINE LEARNING: The School has the expertise and infrastructural support for deep learning, development of ML-based applications as a part of the AI & ML specialization.
2.CLOUD COMPUTING: It involves delivering computing services like storage, processing, and databases over the internet, often using providers like AWS, Azure, or Google Cloud. It enables scalable and flexible resource use, supporting applications such as web hosting, big data processing, and DevOps pipelines. It plays a crucial role in modern software deployment, remote collaboration, and enterprise IT infrastructure.
3.COMPUTER NETWORKS AND SECURITY: The school is focuses on the core areas of Computer Network & Security which include intrusion detection, cyber security, cryptography, and other related areas.
4.COMPUTER VISION: The school is focuses on enabling computers to interpret and understand visual information from the world, such as images and videos. It involves tasks like object detection, image segmentation, facial recognition, and motion tracking. Computer Vision is widely used in fields like surveillance, autonomous driving, augmented reality, and healthcare diagnostics. It integrates techniques from deep learning, image processing, and pattern recognition.Augmented Reality (AR) and Virtual Reality (VR) are immersive technologies that enhance or simulate real-world environments. AR overlays digital content onto the physical world using devices like smartphones or AR glasses, enabling interactive experiences in real time useful in fields like education, retail, and healthcare. VR, on the other hand, creates entirely virtual environments using head-mounted displays, offering full immersion ideal for gaming, training simulations, and virtual tours. Both technologies are converging to shape the future of human-computer interaction, with applications expanding rapidly in entertainment, architecture, remote collaboration, and industrial design.
5.CYBERSECURITY: This is the practice of protecting systems, networks, and data from digital attacks, unauthorized access, or damage. It includes areas such as cryptography, network security, ethical hacking, malware analysis, and risk management. As digital infrastructure grows, so do threats, making cybersecurity a critical area in defending privacy, financial systems, and national security. Blockchain is a decentralized and distributed ledger technology that enables secure, transparent, and tamper-resistant recording of transactions across multiple nodes in a network. Originally developed for cryptocurrencies like Bitcoin, blockchain has since found applications in supply chain management, finance, healthcare, digital identity, and voting systems. Each block in the chain contains a set of transactions, a timestamp, and a cryptographic hash of the previous block, ensuring data integrity and immutability. Smart contracts—self-executing programs stored on the blockchain—further enhance its utility by automating processes without intermediaries. Blockchain offers enhanced security, transparency, and trust, especially in environments that lack centralized control.
6.EMBEDDED SYSTEMS AND INTERNET OF THINGS (IoT): Embedded Systems are specialized computing systems that perform dedicated functions within larger systems, often with real-time constraints. IoT extends this by connecting these systems to the internet, enabling smart environments such as smart homes, wearable health monitors, and industrial automation. This area combines hardware, low-level programming, and communication protocols.
7.HUMAN-COMPUTER INTERACTION: the school is focuses on studies, how people interact with computers and designs technologies to improve user experience. It includes user interface design, usability testing, accessibility, and user-centered design practices. HCI is vital in creating intuitive, efficient, and satisfying technology experiences across platforms like mobile apps, websites, and virtual reality.
8.KNOWLEDGE-ENGINEERING: Focus on problems related to knowledge representation, knowledge retrieval, and other relevant areas. Data Science involves extracting meaningful insights from large and complex datasets using statistical, mathematical, and computational techniques. Big Data Analytics refers to the processing and analysis of vast datasets that exceed traditional storage and processing capacities. Together, these disciplines are essential for informed decision-making in fields like business, finance, healthcare, and social sciences, often leveraging tools such as Hadoop, Spark, and Python-based frameworks.
9.SOFTWARE ENGINEERING: The school has expertise in prototype development and application development. Also, the group carries out research in software process improvement, information management, engineering medical applications, etc.
10.THEORETICAL COMPUTER SCIENCE: Theoretical Computer Science delves into the mathematical foundations of computing, including algorithms, computational complexity, automata theory, and formal languages. This area provides the theoretical underpinning for understanding what problems can be solved on a computer and how efficiently. It is essential for cryptography, compiler design, and algorithm optimization.raj K. Shetty, who guide
RESEARCH AND DEVELOPMENT PROJECTS
ACADEMIC AND INDUSTRY COLLABORATIONS
Students of School of Computer Engineering can benefit from practical collaborations with leading University and Technology Partners. These partnerships, initiated by the school, offer its students opportunities for real-world projects, skill development, and exposure to industry practices, enhancing students' readiness.The school has tie-ups with Infosys, Microsoft, and TCS.
1.University Collaborations :
2.Industry Partnerships:
. STARTUP
Dashapatmaja Solutions Pvt. Ltd. (https://dashapatmaja.in/) is an innovation-driven startup based in Udupi, incubated at the IS/CWI/ 002, Manipal GOK Bio-incubator, Advanced Research Centre, Madhav Nagar, Manipal – 576104. The company focuses on developing next-generation medical software solutions, EdTech platforms with edge-computing capabilities, and AI-IoT-powered solutions for healthcare and education.
Chairman of the company: Dr. Manu Sudhi (KMC); CEO: Mr. Shreepathy Ranga Bhatta; Mentor: Dr. Dasharathraj K. Shetty, who guides the company’s research direction and innovation strategy.
Research output: Contribution to journal › Article › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Chapter
Research output: Contribution to journal › Article › peer-review
Jathanna, R. D. (Manager) & M, A. (Operator)
School of Computer EngineeringFacility/equipment: Equipment