Ph. D. in Computer Science & Engineering is a doctoral program offered by the School of Computing, Amrita Vishwa Vidyapeetham.
Contact Us:
Amritapuri:
subhasrid@am.amrita.edu
Amaravati:
m_rajasekharreddy@av.amrita.edu
Bengaluru:
b_uma@blr.amrita.edu
Coimbatore
p_remyakrishnan@cb.amrita.edu
Chennai:
s_suthir@ch.amrita.edu
Nagercoil:
v_thanammalindu@nc.amrita.edu
The Computer Science and Engineering doctoral program prepares you to solve complex, long-term and contemporary research problems. The proposed curriculum helps in systematically developing enhanced skills and understanding in the area of research. The course work followed by a thorough research work during the doctoral program result in heightened technical and conceptual understandings in the related area. It will accelerate and further the career of individuals in their enterprises or academic institutions.
The mission of the Department of Computer Science and Engineering is to train the next generation of CSE leaders who will be equipped with the knowledge and skills to tackle complex problems in various fields such as healthcare, agriculture, education, networking, energy, etc. The doctoral program focuses on hands-on learning, interdisciplinary collaboration, and also collaborations with faculty members from reputed foreign universities. You can expect to graduate in four to five years and to work on a research project, culminating in a dissertation along with two or more papers in top quality journals.
The vision and mission of the department align with the overall theme of Amrita Vishwa Vidyapeetham, which is to provide education that is rooted in values and aimed at holistic development. Amrita Vishwa Vidyapeetham believes that education should go beyond academics and focus on the individual’s overall development.
In the era of digitization, computing has become the backbone of modern society. Amrita School of Computing is a leading institution at the forefront of innovation and research, nestled in vibrant technological hub of Bangalore. As we witness that AI is emerging as the potential interdisciplinary field and revolutionize industries, advance scientific research, improve healthcare outcomes and contribute to economic growth and societal well-being, Amrita School Computing is committed in providing world-class education, research and innovation. Our campus has research laboratories and collaborative spaces, providing Ph.D. students with the access to cutting-edge technology and resources to support their research endeavours in various domains.
The mission of the School of Computing is to strive for continuous learning, instil innovation and curiosity, and inculcate research culture. The school also aims to inculcate team work to solve science and engineering problems collaboratively. Further, the school strives to mould next generation citizens to use emerging technologies for betterment of the society and prepare them to solve real-world problems.
The vision of School of Computing aligns well with overall of theme of Amrita Vishwa Vidyapeetham, which is to set high standards in teaching and learning, to enable a bright career path for the students, create a culture that fosters excellence and creativity, and inspire the next generation of computer scientists to be visible to computing communities and unleash their human potential in service to science and society; and to establish internationally recognized state-of-the-art centres of excellence in thrust areas of research in Computer Science and Engineering and inter disciplinary fields through innovation and collaboration.
Amrita School of Computing, Coimbatore Campus, is a globally connected research community comprising esteemed faculty, industry experts, and fellow researchers who share a passion for innovation and societal impact. Our interdisciplinary research culture integrates cutting-edge technological advancements ensuring impactful contributions to academia and industry. We engage in pioneering research works that address critical societal challenges while benefiting from a collaborative ecosystem that bridges diverse study areas and fosters academic and industry partnerships in the field of computing. Our school is well-equipped with state-of-the-art research infrastructure, providing researchers with the resources to implement and explore cutting-edge technologies in computing.
The vision of our school aligns with the vision of Amrita Vishwa Vidyapeetham. The vision of the School of Computing, Coimbatore, is to be acclaimed internationally for excellence in teaching and research in Computer Science & Engineering, and in fostering a culture of creativity and innovation to responsibly harness state-of-the-art technologies for societal needs.
Aligning to the overall mission, the School of Computing Mission focuses on assisting students in developing a strong foundation in Computer Science and Engineering by providing analytical, computational thinking, and problem-solving skills. To inculcate entrepreneurial skills to develop solutions and products for interdisciplinary problems by cultivating curiosity, team spirit, and spirit of innovation. To provide opportunities for students to acquire knowledge of state-of-the-art in Computer Science and Engineering through industry internships, collaborative projects, and global exchange programs with Institutions of international repute. To develop lifelong learning, ethics, moral values, and a spirit of service to contribute to society through technology. To be a premiere research-intensive department by providing a stimulating environment for knowledge discovery and creation.
The Department of Computer Science and Engineering at Amrita Vishwa Vidyapeetham is committed to fostering excellence in advanced research and innovation. The Ph.D. program in Computer Science and Engineering is designed to address pressing global challenges by promoting deep inquiry in emerging areas such as Artificial Intelligence, Data Science, Cybersecurity, IoT, Cloud Computing, and Sustainable Computing.
Rooted in the vision of Amrita to blend cutting-edge technology with value-based education, this doctoral program emphasizes interdisciplinary research, ethical responsibility, and societal impact. The program aims to nurture scholars capable of designing innovative solutions for real-world problems and contributing to national and international research agendas. Through rigorous coursework, mentorship from experienced faculty, and access to state-of-the-art labs, scholars will gain advanced skills in algorithmic thinking, intelligent systems, and translational research.
This Ph.D. program also supports the United Nations Sustainable Development Goals (SDGs) and reflects Amrita’s broader commitment to holistic development. By equipping researchers with both technical expertise and a strong ethical foundation, the department aspires to develop future-ready leaders for academia, industry and public service.
Amrita Vishwa Vidyapeetham has not appointed any agent or third-party representative within India for admissions to any programme. Students residing in India are advised not to make payments or seat reservation advances to any individual or organization claiming to offer admission assistance for Amrita campuses.
For international admissions, the University may work with authorized overseas representatives in select countries. International applicants are advised to verify the credentials of such representatives through official Amrita communication channels before proceeding with applications or payments.
– Issued in Public Interest by Directorate of Admissions and Academic Outreach
BTech/MTech in CS, EEE, ECE, MCA
BTech/MTech in CS, EEE, ECE, MCA, MSc.
M. Tech. in any Engineering Discipline
Computer Vision and Robotics
AI and Distributed Systems
Computational Biosciences
Algorithms and Computing Systems
Computational Linguistic and Indic Studies
AI and Disability Studies
Deep Learning
Computational Neuroscience
Complex Networks
Performance of Edge Networks
Cloud Network Infrastructure
Machine Learning
Medical Image Analysis
Computer Vision
Data Science
Awareness Computing
Pattern recognition
Text mining
Robotics
Program Analysis
Text Analytics
Optimization -Numerical Computation Software Engineering
Social Networks
Graph Mining
Computer Vision
Video Surveillance
Video Synopsis
Artificial Intelligence
Edge learning
Networking in Extreme Environments
Reinforcement Learning
Web Security
Cryptographic Protocols
Authentication
Scene Understanding and Image Retrieval
Assistive Technologies and Learning with Disabilities
Smart Farming
Probability Theory
Gaussian Processes
Smart Grid
Data Science
Power System
AI/ML applications in Interdisciplinary areas
Composites
Materials Informatics
Computational Materials Science
FEM Modelling
Fatigue and Fracture
Algorithm Design
Graph theory
Bioinformatics
Natural Language Processing
Algorithms
Natural Language Processing
Machine Learning
Deep Learning
Text Mining
Data Mining and Knowledge Discovery
Knowledge Graph
Graph Representation Learning
cryptography
IOT
Health care domain
Cyber security
Explainable AI
Machine Learning.
Recommendation systems
NLP
Complex Systems
Time Series Analysis
Healthcare Data Analytics
Financial Data Analytics
Speech Processing
Power System Dynamics
Data Driven Modelling and Control
Natural Language Processing, text data modelling using ML and Deep learning
AI in Healthcare
AI for Bioinformatics & Systems Biology
AI for Agriculture
AI for Signal and Image Processing.
Emotion recognition, robotics – HRI and image and video processing
AI for Signal and Image Processing.
Renewable energy
Intelligent Agents in Agriculture, IoT
Theoretical and Experimental Machine Intelligence
Remote sensing
Image processing
Computer Vision
Image and video processing with Machine learning and deep learning
Cloud and Fog computing
Green Computing
Machine learning and Deep learning
Text mining and analytics
Clinical Data mining
Artificial Intelligence
Machine Learning
Deep Learning
Computer Vision
NLP
Image Processing
IoT
Gen.AI
Cloud Computing
Vision, Language and Intelligent Learning (VLIL)
Image Analysis and Pattern Recognition
Research & Innovation in Software Engineering
Data Science / Data Analytics
Computer Vision and Deep Learning
Data Science and Big Data Analytics
Cybersecurity and Privacy
Cloud Computing and Distributed Systems
Internet of Things (IoT) and Edge Computing
Blockchain and Secure Transactions
Natural Language Processing and Knowledge Engineering
Embedded Systems and Intelligent Robotics
*Applicable Programs.
Amrita Vishwa Vidyapeetham, Amritapuri
| Title of the Project | Funding Agency |
| Sign Language Accessibility for e-Governance Services | Meity |
| OLabs NextG: Next Generation Online Labs (OLabs) for schools | Meity |
| Digital Literacy Orientation for teaching STEM Skills for Teachers, and STEM skills for girls. | UNICEF |
| RISE VCARE: Virtual Cases for Critical care | U.S. Agency for International Development (USAID) For Reaching Impact, Saturation, and Epidemic Control (RISE) Project JHPIEGO |
Amrita Vishwa Vidyapeetham, Bengaluru
| Title of the Project | Funding Agency |
| Neural Machine Translation for zero-resource Indic languages using semi-supervised and unsupervised learning-based approaches | DRDO |
| Drift Design – Anomaly Detection for Time Series Data Semantic Classification | Intellectyx Data Science Pvt Ltd |
Amrita Vishwa Vidyapeetham, Coimbatore
| Title of the Project | Funding Agency |
| An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products (Since 2022) | Sony |
| Intelligent intrusion detection system for enhancing security for SCADA systems in IoT and cloud-based architectures | Baseel |
| AI (Artificial Intelligence) based RIP current prediction / detection | INCOI, Ministry of Earth Sciences |
| Distributed Energy Resources Market Management with Cyber Physical Co-Simulation Framework for Effective Electric Grid Resilience | Amrita Seed Grant |
Amrita Vishwa Vidyapeetham, Amritapuri
| Name of the Research Lab | Major Facilities / Equipment Details |
| Video analytics lab | 1 Specim IQ hyper spectral camera
2 Thermal camera 3 Peizo camera 4 Network camera |
| IOT & Robotics Lab | 1 Social robot
2 GO1 PRO 3 DOBOT magician basic kit 4 Ricoh theta 5 Leap motion Controller |
| HPC Lab |
|
Amrita Vishwa Vidyapeetham, Bengaluru
| Name of the Research Lab | Major Facilities / Equipment Details | |
| Natural Language Technology Lab | Basic computing facility | Two workstation, 5 i7 desktops, and two GUP based workstation, two printers |
| Robotics Lab | Mobile Robot Platform | Differential Drive, ARM based mobile robot, Quantity – 10, Assembled micro mobile robot powered. by Arduino Uno, Quantity – 5 |
| Humanoid Robot | Bioloid premium Kit, Quantity – 1 | |
| LEGO Mindstorms Set | Lego base kit and educational resource kit, Quantity-2 | |
| Servos Motors | Dynamixel 12A, Quantity – 12 | |
| Regulated Power Supply | 36V, 10A, Quantity – 6Nos | |
| Oscilloscope | 200Mhz, Digital Storage Oscilloscope, Qualtity-1 | |
| Database | CMU and BU Emotion Database | |
| Edge AI Lab | Lenovo ThinkCenter Desktop | Quantity = 1 Core i5 Processor 8GB RAM, 512 GB SSD, Keyboard, Mouse |
| Nvidia Jetson AGX Orin | Quantity = 1 Development kit 32GB SBC 1105-DEV |
|
| Dell Monitor Se2422h | Quantity = 1 24” Monitor |
|
| Jetson Nano Modules Carrier Board | Quantity = 1 SBC 2067 |
|
| Eye Tracking Lab | Eye Tribe | Quantity – 2, cross platform cost effective eye tracker |
| SMI REDn Professional | Quantity –1, reliable screen-based eye tracker that enables researchers to conduct fixation-based studies with a sampling rate of 60Hz.
The SMI REDn Professional eye tracker is compatible with the iMotionsScreen-based Eye Tracking Module. |
|
| VT3 Mini | Quantity –1, Powered by AEye 1.0 eye-tracking-on-a-chip technology,
featuring a large head motion box and hardware-based time-stamped data that ensures data integrity and accuracy. |
|
| 5MP IR Network Dome Camera – 30Mt (CP-UNC-DA51L3C-0280) | Quantity-5 | |
| HP All-in-One PC 13th Gen Intel Core i7 22″ FHD 16GB RAM, 1TB SSD | 2 Desktop PC | |
| AWS DeepRacer car and AWS DeepRacer sensor kit | Quantity-1 | |
| Humanoid Robo Nao | Quantity-1 | |
| Dell 34-inch LED monitor | On screen Control with 4 screen split & Dual Device connectivity for multitasking |
| Name of the Research Lab | Major Facilities / Equipment Details |
| Amrita Mobile ubiquitous and Distributed Applications (AMuDA) Lab | Raspberry pi 5 |
| ESP-32 | |
| Arduino UNO | |
| LORA-E5 Development Kit | |
| ACER System-Intel i5-2320, 3GHZ, RAM-8GB (4*2GB) | |
| IBM server-x2650m4-Intel Xeon E52650@999Ghzx12, Logical processor, RAM 176GB, 300GBx2, 600GBx10, | |
| Raspberry pi 4 | |
| Computational thinking for Research and Education (CORE) Lab | HP System-13th Gen Intel(R) Core(TM) i7-13700 2.10 GHz 16 GB RAM |
| HP System-Intel(R) Core(TM) i7-4790S 3.20GHz 16 GB RAM | |
| Raspberry pi 5 | |
| Signal Processing, Machine Learning and Artificial Intelligence Research Lab (SiGMA) | ASUS System-Windows 11 Pro 64-bit Intel(R) Core(TM) i9-10900K CPU @ 3.70GHz (20 CPUs), ~3.7GHz |
| HP System-Intel Xeon, 32 GB RAM, 280 GB SSD, 1 TB HDD, NVIDIA RTX A2000 12 GB | |
| Amrita-Cognizant Innovation Lab (CTS) | HP Workstation Z406 |
| 3D Printer Core i7 | |
| Dell System-DELL Optiplex 3010 : Intel Core i5, 3470 CPU @ 3.2 GHz, 4 GB RAM, 500 GB HDD | |
| AUSU System-ASUS ROG Strix – Intel core i5, 11400F,4.4 GHz,16 GB,512 GB SSD | |
| HP System-HP ProDesk 400 G2MT: Intel core i7 4790 CPU @ 3.2 GHz, 8 GB RAM, 500 GB HDD | |
| MulticoreWare Academia Global Innovation Center (MAGIC) Lab | HP/DELL-Intel Core i7,16 GB RAM,1 TB HDD,NVIDIA P 1000 GB |
| DAHUA | |
| CP PLUS | |
| CP PLUS SPEED DOME | |
| JOY STICK IP SPEED DOME CAMERA CP PLUS | |
| FLUKE make Thermal Imager with Tripod Mounting | |
| CONNECTORS FOR CAMERAS JOY STICK | |
| UTEP SPORT PDE SWITCH 30V WITH CCTV MODE | |
| HP DL380 Gen9 2U Rack Server | |
| Lenova Work Station | |
| Lenova Monitor | |
| HP LAPTOP | |
| Advanced All-in-One Virtual Reality Headset 128 GB | |
| Virtual Reality Headset 128 GB | |
| Raspberry Pi Camera Module V2 | |
| Logitech WebCam |
| Name of the Research Lab | Major Facilities / Equipment Details | |
| Sreyas Laboratory | Embedded systems, IoT, and Robotics |
|
| Artificial
Intelligence and Machine Learning Laboratory |
Data preprocessing,
ML algorithm development, and Lightweight deep learning model prototyping |
|
Dr Subhasri Duttagupta DS
Professor
subhasrid@am.amrita.edu
Dr. M. Rajasekhar Reddy
Associate Professor,
School of Computing, Amaravati
m_rajasekharreddy@av.amrita.edu
Dr. Thangam S
Assistant Professor (Selection Grade),
Amrita School of Computing, Bengaluru,
Amrita Vishwa Vidyapeetham, India.
s_thangam@blr.amrita.edu
Dr. P. Remyakrishnan
Assistant Professor Sr.Gr
p_remyakrishnan@cb.amrita.edu
Dr.V.Thanammal Indu
Assistant Professor
School of Computing, Nagercoil, India.
v_thanammalindu@nc.amrita.edu
