Overview of the Institute
Artificial Intelligence (AI) is transforming every industry and sector worldwide from Agriculture and Healthcare to Finance, Governance, Cybersecurity, and beyond. Integration of AI creates Smart Agriculture, Smart Healthcare, Smart Finance, and Smart Cities that improves quality of life at a large scale. According to the World Economic Forum, AI and automation are expected to generate 170 million new jobs globally by 2030, creating unprecedented demand for skilled AI professionals.
Motivated by this global imperative, SRM University – AP has established the AI Technology Institute (AiTI), a dedicated institution committed to research, education, and entrepreneurship in AI. AiTI aims to position SRM University- AP as a nationally and globally recognized AI-Native University, preparing the next generation of AI innovators, researchers, and leaders.
Located in Amaravati, Andhra Pradesh one of India’s emerging knowledge and innovation hubs, AiTI is uniquely positioned to contribute to the region’s transformation through AI-driven solutions for agriculture, healthcare, energy, governance, public systems, urban planning, and digital infrastructure. The institute aims to play a catalytic role in building SRM-AP into a global hub for AI research, innovation, and technology-led development.
Our Direction
To make SRM University – AP nationally and globally recognized AI-Native University that:
The mission of AiTI is to build an ecosystem where AI research, education, and entrepreneurship thrive in synergy:
Strategic Focus
AiTI at the SRM-AP pursues six strategic objectives to drive excellence in AI education, research, and institutional innovation.
AiTI offers a comprehensive portfolio of AI programs at the undergraduate, postgraduate, doctoral, and continuing education levels:
Students may choose specialisations aligned with high-impact application domains.
Precision farming, crop AI, IoT sensors
Threat detection, AI security systems
Energy optimisation, grid AI, renewables
Algorithmic trading, risk AI, fraud detection
Medical imaging, diagnostics, drug discovery
Autonomous systems, human-robot interaction
AiTI adopts innovative and student-centric pedagogical approaches to ensure deep, applied learning:
Students engage with foundational content before class; sessions focus on problem-solving, discussion, and hands-on application
Real-world AI projects integrated throughout the curriculum
Collaboration with industry partners to run capstone and live projects
Use of AI tools to personalise learning pathways and provide adaptive assessments
Cross-department collaborative work connecting AI with healthcare, agriculture, finance, and other domains
Regular innovation sprints and competitive events that foster creativity, rapid prototyping, teamwork, and practical AI problem-solving under real-world constraints
Frontier Research
AiTI faculty and scholars conduct cutting-edge research in the following areas, targeting high-impact problems that shape the future of industries and society.
AI-driven precision farming, pest detection, yield optimisation
AI-based intrusion detection, malware analysis, privacy-preserving AI
Intelligent grid management, demand forecasting, renewable integration
Algorithmic decision-making, credit risk models, fraud detection
Medical imaging AI, clinical decision support, genomics AI
Autonomous navigation, collaborative robotics, embodied AI
Associate Professor
Ph.D., Indian Institute of Technology Kharagpur, India
pradyut.s@srmap.edu.in
Associate Professor
Ph.D., National Institute of Technology Durgapur, India
ashokkumar.p@srmap.edu.in
Assistant Professor
National Institute of Technology, Tiruchirappalli, India
naveenkumar.m@srmap.edu.in
Assistant Professor
PhD, Indian Statistical Institute, (Jadavpur University), India
abhijit.d@srmap.edu.in
Assistant Professor
PhD, IIIT Lucknow, Uttar Pradesh, India
khushbu.d@srmap.edu.in
Assistant Professor
PhD, NIT Durgapur, West Bengal, India
kailashpati.m@srmap.edu.in
Assistant Professor
PhD, National Institute of Technology, Tiruchirappalli, India
avinash.t@srmap.edu.in
Assistant Professor
Ph.D., Indian Statistical Institute (ISI), Kolkata
prasun.d@srmap.edu.in
Assistant Professor
Ph.D, Simon Fraser University (SFU, BC, Canada), British Columbia, Canada
punyashlok.d@srmap.edu.in
Associate Professor
PhD, Jeonbuk National University, South Korea, South Korea
sunil.c@srmap.edu.in
Assistant Professor
PhD, National Institute of Technology Durgapur, West Bengal, India
biswajit.m@srmap.edu.in
Professor
PhD, University of West of England Bristol, UK, UK
niraj.u@srmap.edu.in
Associate Professor & Head of the Department
PhD, Indian Institute of Information Technology Design and Manufacturing (IIITDM) Kancheepuram, India
manikandan.v@srmap.edu.in
Associate Professor
National Institute of Technology, Rourkela, India
kshirasagar.s@srmap.edu.in
Associate Professor
National Institute of Technology, Durgapur, India
amitkumar.m@srmap.edu.in
Assistant Professor
PhD, MIU, ISI, Kolkata & University of Calcutta, India
dipankar.k@srmap.edu.in
Assistant Professor
Ph.D., National institute of Technology, Warangal, India
sumalatha.s@srmap.edu.in
Assistant Dean (Graduate Outcomes) - SEAS
PhD, IIT Gandhinagar, India
muralikrishna.e@srmap.edu.in
Assistant Professor
National Institute of Technology Kurukshetra
achala.s@srmap.edu.in
Assistant Professor
PhD, Jadavpur University, West Bengal, India
ashmita.de@srmap.edu.in
Associate Professor
Ph.D., Physical Research laboratory, Ahmedabad / Mohanlal Sukhadia University, Udaipur
gangireddy.s@srmap.edu.in
Global Exposure
AiTI students will have access to Semester Abroad opportunities through academic partnerships with leading universities internationally. Current avenues being explored include:
Professional Pathways
AI graduates from SRM-AP are positioned to access a vast and rapidly expanding job market. With millions new jobs expected globally due to AI and automation, skilled professionals are in demand across various sectors.
Venture & Innovation
AiTI actively fosters an entrepreneurial mindset alongside technical excellence. Students and researchers interested in building AI-driven ventures can access comprehensive support.
AiTI welcomes applications from exceptional candidates for its Ph.D. in AI programme. Doctoral scholars will work on frontier research problems in AiTI’s core specialisation areas, supervised by internationally recognised faculty.
1. What is the B.Tech in Artificial Intelligence program at SRM University-AP, and what specializations are offered?
The B.Tech in Artificial Intelligence (AI) offered by the Department of Artificial Intelligence & Technology Innovation (AiTI) is an interdisciplinary undergraduate degree focused on core AI, machine learning, and high-performance computational systems. From their first year, students undergo rigorous hands-on training in real-world problem-solving, ethical AI, and responsible innovation.
Students can align their degree with industry demands by choosing from six domain specializations:
2. How is B.Tech in AI different from B.Tech in Computer Science Engineering (CSE) with a specialization in AI & ML?
| Key Comparison Aspect | B.Tech in Artificial Intelligence (AiTI) | B.Tech in CSE (AI & ML Specialization) |
|---|---|---|
| Primary Focus | Trains students as next-generation Data Analyzers & AI Systems Specialists with direct AI immersion from Year 1. | Trains students primarily as Software Programmers with broad Computer Science fundamentals. |
| Curriculum Depth | Deep focus on advanced AI core courses (Generative AI, Agentic AI, NLP, Reinforcement Learning, HPC) across all 4 years. | Covers general CS foundations (Operating Systems, DBMS, Networks) first, introducing AI/ML as electives in later years. |
| Labs & Projects | 100% AI-centric labs, real-world industry project work, and high-performance computing research from early semesters. | Standard CS software labs with dedicated AI/ML project modules in the 3rd and 4th years. |
3. What high-performance computing (HPC) facilities, research infrastructure, and global collaborations support this program?
4. What are the eligibility criteria and mandatory 10+2 subjects for admission to the B.Tech AI program?
5. What subjects, programming languages, and industry software tools are taught in the curriculum?
6. How is project-based learning, coding, and interdisciplinary exposure integrated into the course?
7. What are the key qualifications and research backgrounds of the faculty teaching the program?
Courses are taught by highly qualified academic professionals with Doctorates (Ph.Ds) from leading national and international universities. Faculty members bring:
8. What placement packages, expected recruiters, and career roles can graduating students expect?
Key Career Roles:
9. How does the department facilitate internships, industrial consulting, and real-world problem exposure?
10. Can graduates apply for government jobs, public sector undertakings (PSUs), and research organizations?
11. What higher studies options, target global universities, and scholarship opportunities are available?
