Objective of the CIRAI

KIIT University’s CIRAI stands as a beacon of innovation and excellence in the realm of artificial intelligence. As a dynamic hub for cutting-edge research and interdisciplinary collaboration, the centre is dedicated to nurturing AI-skilled talent through state-of-the-art education and training. By fostering transformative research and facilitating robust industry partnerships, CIRAI not only prepares graduates for an AI-first job market but also propels impactful solutions that address global challenges. This initiative underscores our commitment to elevating KIIT’s international reputation and positioning Odisha at the forefront of the AI revolution. The proposed CIRAI will serve as a multidisciplinary platform to bring together researchers, educators, industry professionals, and students to explore and innovate in AI.

The centre will focus on

Research and Development: Conducting fundamental and applied research in AI, data science, machine learning, deep learning, generative AI such as large language models, diffusion models, and related fields.

Education and Training: Offering specialized courses, workshops, and certifications to build AI competencies among students and professionals.

AI events and Expert Talks: Periodically organize competitions, hackathons, events in tech fests and Olympiads to encourage students. Invite world class researchers to visit the deliver Expert Talk on various topics in AI.

Industry Collaboration: Partnering with leading companies and startups to work on real-world problems and innovative solutions.
International Collaboration: Engaging with global universities and research institutions for collaborative research, student exchange programs, and joint projects. Collaboration with foreign AI established researchers and promising local startups.
Innovation and Entrepreneurship: Encouraging and supporting AI-based startups and entrepreneurial ventures through incubation and mentorship programs.
Organize Conferences, Promotion and Attract Talent: Indians have achieved tremendous success by conducting pioneering research, receiving outstanding paper awards and leading critical projects in major AI companies abroad. The CIRAI center will bring some of the top conferences to Odisha.

Goals

Implementation Roadmap
Phase I: Planning and Infrastructure Setup (Months 1-6)
– Finalize the proposal and secure funding.
– Establish governance structure and appoint key personnel.
– Develop detailed architectural plans for the center.
– Begin the procurement of computational resources and lab equipment.

– Set up initial research labs and computational facilities.

– Launch AI research projects and collaborate with faculty, students, across departments.

– Initiate partnerships with industry and international research institutions.

– Organize workshops, seminars, and conferences to build awareness and foster collaboration.

– Expand research focus areas based on initial successes and emerging trends.

– Enhance industry partnerships and increase funding through grants and collaborations.

– Develop and introduce new AI-focused academic programs and certifications.

– Scale up incubation programs for AI startups and entrepreneurial ventures.

– Review progress and refine focus areas based on outcomes and global trends.

– Strengthen the center’s infrastructure and expand facilities as needed.

– Continue to grow the network of collaborators and industry partners.

– Sustain and enhance the center’s impact through continuous innovation, research, and education.

Labs and Facilities

To support the activities of the CIRAI, the following infrastructure and resources will be established:

Computational Facilities: High-performance computing clusters with GPUs (H100/H200/A6000) for large-scale AI research and development.

Research Labs: State-of-the-art laboratories equipped with AI development tools, software, and hardware for various applications, including robotics and automation.

Data Repositories: Secure and scalable data storage systems for managing large datasets required for AI research.

Collaboration Spaces: Dedicated areas for interdisciplinary collaboration, brainstorming, and innovation, including co-working spaces and meeting rooms.

Learning and Development Facilities: Classrooms, seminar halls, and digital learning platforms to conduct workshops, training sessions, and courses.
Access to Industry Tools and Platforms: Partnerships with leading technology companies to provide access to cutting-edge AI tools, platforms, and cloud resources.

Focus: Investigate pioneering concepts and disruptive technologies that extend beyond current EV paradigms.

Research Areas

Machine Learning, Deep Learning, Generative AI

The CIRAI will drive the development of advanced machine learning models, embracing self-supervised and multimodal techniques to learn from diverse data with minimal supervision. By exploring next-generation architectures, including neuro symbolic, concept models, the centre aims to deliver scalable, efficient models that push the boundaries of predictive analytics, natural language processing, and computer vision for a future where AI is more accessible and energy efficient.

Generative AI, Including LLMs and Diffusion Models

The CIRAI will pioneer generative AI technologies that leverage large language models and diffusion techniques to create high-quality text, images, and multimedia content. By focusing on real-time AI creativity and hyper-personalized content generation, the centre will enable new forms of interactive digital experiences, transforming how media is produced and consumed while ensuring that such innovations remain safe, interpretable, and user-focused.

 

Industrial IoT (Internet of Things)

Exploring the integration of AI with IoT to develop smart, connected systems that enhance efficiency, automation, and decision-making in various domains such as smart homes, industrial automation, agriculture, and healthcare. The focus will be on leveraging AI to process and analyze the massive amounts of data generated by IoT devices to enable real-time insights, predictive maintenance, and intelligent control systems.

AI for Healthcare

Utilizing AI to improve diagnostics, personalized medicine, healthcare management, and robotic-assisted surgeries. The CIRAI will utilize AI to transform healthcare, enhancing precision medicine, diagnostics, and patient management. Future-ready initiatives include AI-driven drug discovery, genomics integration, and autonomous diagnostic systems that leverage real-time data and robotic-assisted surgeries, ensuring more personalized and effective treatments while preparing the healthcare system for global health challenges.

for Automation, and Management

The CIRAI will explore AI-driven hyper automation to streamline processes in manufacturing, logistics, and smart environments. By integrating robotic process automation and autonomous systems with human-centric oversight, the centre will enhance operational efficiency and decision-making in smart cities and businesses, ensuring that advanced automation works in tandem with human expertise to optimize workflows.

AI for Sustainable Development

The CIRAI will apply AI to combat environmental challenges by advancing climate modeling, optimizing renewable energy production, and promoting circular economies. Through real-time analytics and digital twins, AI will support sustainable agriculture, biodiversity conservation, and resource management, driving a future where technology actively contributes to reducing carbon footprints and protecting the planet

Human-Centered AI

The CIRAI will prioritize the development of ethical, transparent, and accountable AI systems that align with human values. Focusing on explainability, fairness, and robust regulatory frameworks, the center will ensure that AI augments human creativity and decision-making while addressing potential biases and societal impacts, making AI a trustworthy partner in our evolving digital landscape

AI in Finance, Marketing and Business Analytics

The CIRAI will enhance financial modeling, risk management, and business intelligence through advanced AI techniques. By leveraging real-time data analytics, decentralized finance models, and AI-driven forecasting, the center aims to empower smarter decision-making in finance and business, ensuring that AI innovations drive more secure, efficient, and adaptive financial ecosystems.

Ongoing Projects

Project Name Funding Agency Amount (INR) in Lakhs

Machine Unlearning for Selective Removal of Digital Data Footprint from Deep Learning Models

SERB/ANRF

30.5

AutoImage: Automatic Measurement of wafer dimensions at nano scale level using computer vision (Smart factory automation)

SAE Magnetics HK Industrial Grant

250.0

Published IPs

  1. Suman Bhattacharya, Speech processing system and method for recognizing speech samples from speaker with oriyon accent when speaking English, no. 9390085, filled: 13 March 2013, granted: 12 july 2016, TCS
  2. Parui S (2024), AI Based Voice To Text Conversion Device. U.K Patent No. 6405546, Intellectual Property Office, Uk
  3. Parui S (2024), AI Enabled Computing Device For Detection Of Alzheimer’s Disease. U.K Patent No. 6417427, Intellectual Property Office, Uk

4.Parui S (2024), AI Based Health Monitoring Wearable Device. U.K. Patent No. 6396855, Intellectual Property Office, Uk

5.Parui S (2024), AI Based Driver Drowsiness Detecting Device. U.K. Patent No. 6376103, Intellectual Property Office, Uk

6.Parui S (2024), AI Based Device For Online Learning. U.K. Patent No. 6381805, Intellectual Property Office, Uk

7.Parui S (2024), AI Based Plant Health Monitoring Device. U.K. Patent No. 6387412, Intellectual Property Office, Uk

8.Parui S (2024), Computer Based Iris Detection Device For Biometric Authentication. U.K. Patent No. 6394223, Intellectual Property Office, Uk

9.Parui S (2024), Wireless Medical Appliance Controlling Device. U.K. Patent No. 6379400, Intellectual Property Office, Uk

10.Parui S (2024), Health Monitoring Wearable Device. Patent No. 202416642, Commonwealth Of Australia

11.Parui S (2024), AI Based Device For Image Encryption And Decryption. India Patent No. 438370-001, Intelectual Property Of India

12.Parui S (2024), AI-Based Organic Waste Composter. India Patent No. 433386-001, Intellectual Property Of India

13.Parui S (2024), AI Based Signature Verification Device. India Patent No. 431371-001, Intellectual Property Of India

14.Parui S (2024), AI-Powered Predictive Maintenance System For Industrial Iot Devices. India Patent No. 202431093292, Intellectual Property Of India

15.Parui S (2024), Iot Based Water Purification Device. India Patent No. 424039-001, Intellectual Property Of India

16.Parui S (2024), AI Enabled Farm Environment Monitoring Device. India Patent No. 424437-001, Intellectual Property Of India

17.Parui S (2024), AI-Powered Predictive Maintenance System For Industrial Iot Devices. India Patent No. 202431093292, Intellectual Property Of India

18.Parui S (2024), AI Based Cyber Security Detecting Device. India Patent No. 427237-001, Intellectual Property Of India

19.Parui S (2024), Machine Learning-Driven Intrusion Detection System For Secure Wireless Networks Using Blockchain. India Patent No. 202421053201, Intellectual Property Of India

20.Rajdeep Chatterjee, India Patent No. 202331035150 A, Intellectual Property Of India

21.Usage Of Iot In Machine Learning Built On Block-Sparse Coding For Accurate Device-Free Localization, Subhra Debdas

22.Zigbee Based Solar Powered Forest Fire Detection And Control System, Subhra Debdas

23.An Iot Based Smart System To Read The Ecg And Alert The Consultant In Case Of Emergencies, Subhra Debdas

24.An Experiment Special Technology In Emergency Management And Disaster Response For Human World, Subhra Debdas

25.A Zigbee-Based Interconnected Electrical Vehicle Battery Condition Monitoring System, Subhra Debdas

26.Artificial Intelligence-Based Prediction And Prevention Of Kidney Disease Using Machine Learning Algorithms For Healthcare Management, Subhra Debdas

27.Iot Based System And Design Approach For Health Monitoring Of Wearable Devices, Subhra Debdas

28.Battery Management System For Detecting Fault In The Electric Vehicle Battery, Subhra Debdas

29.An Iot-Enabled Notification System Management For Farmers, Subhra Debdas

30.Iot-Based Product Stock Management System For Profitable Product Brand, Subhra Debdas

31.Wireless Charger For Portable Applications, Subhra Debdas

32.A Method And System To Analyze The Tumor Recognition Based On Iot And Ai Image Processing, Subhra Debdas

33.A Smart System For Air Quality Monitoring And Detect Forest Fires Using The Internet Of Things, Subhra Debdas

34.Thermal Screening system and method, Pampa Sinha

35.An IOT based Power Quality Analyzing system for rectifying fault in an electrical distribution system, Pampa Sinha

36.Miniature Quarter Mode Substrate Integrated Waveguide Filter For Radio Frequency Communication. Ganaraj P S

Leadership & Core Team

Prof (Dr) Suman Bhattacharya

has 26+ years in AI, Speech Technology, NLP, and Machine Learning.

He holds leadership roles at KIIT and KISS University, currently serving as Director of Kareer School and Next-Gen Learning at KIIT. With 15+ years at TATA Group and TCS, he excels in IT services and AI-powered product development. He also advises on innovation, mentors tech startups, and guides 50,000+ students. Dr. Bhattacharya holds a PhD in Computer Science, six patents, 47 research publications, and has served on several academic boards.

Dr. Sutanu Mangal

earned his Ph.D. from IIT Kharagpur in 2011 and received a European Union Fellowship for his work on semiconductor device fabrication using MOCVD.

After joining KIIT University as a faculty member, he completed postdoctoral research at Academia Sinica in Taiwan on low-energy single-electron microscopy for 2D materials. His research focuses on semiconductor thin film deposition and device fabrication for photovoltaics and sensors, including advancements in perovskite solar cells. He also serves as Assistant Registrar and is a member of KIIT University’s Academic and Executive Councils.

Dr. Suresh Chandra Satapathy

is a Ph.D. in Computer Science Engineering and serves as Professor and Dean of Research at KIIT University.

A former National Chairman of Educational and Research for the Computer Society of India and a senior IEEE member, he has organized 60+ international conferences and edited over 80 book volumes. His research spans Swarm Intelligence, Machine Learning, Data Mining, and Cognitive Sciences, and he developed the Social Group Optimization and Social Evolution and Learning Algorithm. With more than 150 publications and several keynotes, he holds editorial roles in various journals and is a visiting professor at multiple international universities.

Dr. Murari Mandal

did his PhD from MNIT Jaipur. He was a Postdoctoral Fellow at NUS with Prof.

Mohan Kankanhalli, and I earned Bachelor’s in Computer Science from BITS Pilani in 2011. He currently leads the RespAI Lab at KIIT Bhubaneswar where we explore machine unlearning, LLM and diffusion model alignment, reasoning, and AI safety. His work has appeared in top conferences like ICML, KDD, AAAI, ACM MM, and CVPR. He is a pioneer in the field of Machine Unlearning with his paper being the top 5 most cited Unlearning papers in the world. He is indexed in CSRankings.

Dr. Subhra Debdas

is an accomplished academic and industry expert in Electrical Engineering with over 23 years of teaching experience.

With a strong professional background, he has worked as a design power engineer at DCPL and L&T Sargent & Lundy, handling major projects globally. He has also served for eight years at the University of Technology and Applied Sciences, Muscat Oman. Currently, he is an Associate Professor at KIIT Deemed to be University, specializing in smart grids, Industry 4.0, IIoT  and Cloud Computing.

Dr. Pampa Sinha

is an accomplished academician and researcher in the field of Electrical Engineering.

Currently serving as an Associate Professor at the School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar, she specializes in Power Quality Assessment, Power Quality Management, and Energy Storage Devices, Smart Grid, Industry 4.0. Dr. Sinha has published extensively in reputed journals and has two granted Indian patents to her credit. Additionally, she has successfully completed two funded research projects, contributing significantly to advancements in her field.

Dr. Rajdeep Chatterjee

(Senior Member, IEEE) received his B.E. in Computer Science and Engineering

(Senior Member, IEEE) received his B.E. in Computer Science and Engineering degree from The University of Burdwan in 2008, and both the M.Tech. and Ph.D. degrees in Computer Science and Engineering from KIIT Deemed to be University, India in 2011 and 2020, respectively. He also qualified GATE-2008 and KIITEE-2009 with All India Rank 1410 and 1, respectively. He is currently working as an Associate Professor at the School of Computer Engineering, KIIT, India. He is a recipient of the Chester W. Sall Memorial Awards 2023 for the 2nd place from IEEE Consumer Electronics Society.

Dr. Ambika Prasad Mishra

earned his PhD in Computational Neuroscience from Prestigious City University of Hong Kong (QS Rank 48)

earned his PhD in Computational Neuroscience from Prestigious City University of Hong Kong (QS Rank 48) and did his postdoctoral studies from the department of Public health from the City University of Hongkong. He studied the role different statistical parameters of sound that brain is interested to capture for distinguishing different sounds in his PhD thesis. He established different CNN based model to predict injuries in race course horses for the Jockey club of Hongkong. He was also associated with Biosignal (HK) as an ML engineer. He is also associated with different organisations as an ML consultant.

Dr. Monideepa Roy

has been an Associate Professor at KIIT Deemed University, Bhubaneswar for 11 years.

has been an Associate Professor at KIIT Deemed University, Bhubaneswar for 11 years. She earned her Bachelors and Masters in Mathematics from IIT Kharagpur and her PhD in CSE from Jadavpur University. Her research spans remote healthcare, mobile computing, cognitive WSNs, remote sensing, machine learning, recommender systems, sparse approximations, and neural networks. She has completed a 5-year MeitY project and several short-term projects, mentors seven research scholars (with two PhDs already defended), and has numerous publications. She has also organized major conferences like CINE 2015, 2016, and ICMC 2019, along with various workshops, seminars, and edited publications under Taylor & Francis.

Dr. Ajit Kumar Pasayat 

is an Assistant Professor at KIIT University, specializing in predictive analytics and data-driven decision-making.

He holds an M.Tech and a Ph.D. from IIT Kharagpur. His research interests include machine learning, data analytics, and computational intelligence. With a strong academic background, he has contributed to various publications and projects in these domains.

Dr. Jyoti Prakash Meher

is a recent PhD graduate from the Department of Computer Science and Engineering at the Indian Institute of Technology (IIT) Kharagpur.

His research interests lie at the coalescence of machine learning and software engineering, with a deep emphasis on using natural language processing (NLP) techniques to improve code understanding and maintenance, thereby enhancing programmer productivity. Before pursuing his doctoral studies, Dr. Meher gained valuable industry experience as an Automation IT Analyst at Tata Consultancy Services Ltd. for six years. He also holds a master’s degree from the National Institute of Technology (NIT) Rourkela.

Dr. Mainak Biswas

is a computer scientist specializing in machine and deep learning for biomedical applications, particularly in computer-aided diagnosis.

He works on advanced ML architectures, early warning systems for CVD risk, and developing new statistical mechanics–based metrics for ML algorithms with over 30 publications and 2000+ citations. He earned his B.Tech from the Government College of Engineering and Ceramic Technology (WBUT, Kolkata), an M.Tech from Jadavpur University, and his PhD from NIT Goa. He is currently an Associate Professor at Kalinga Institute of Industrial Technology.

Dr. Partha Sarathi Paul

earned his PhD from the National Institute of Technology Durgapur in February 2021.

He subsequently worked as a Post-Doctoral Researcher at IIT Kharagpur and served as a Research Assistant at IIIT Delhi during his PhD. He holds an M.Tech in Computer Science from the Indian Statistical Institute (2003), a Master’s in Pure Mathematics (2000), and a Bachelor’s with Honors in Mathematics (1998) from the University of Calcutta. His interests include mobile and pervasive networking, disaster management, and human-computer interaction, with current research on socio-mobile applications and mobile computing.

Dr. Sakir Ahmed

is an Associate Professor of Clinical Immunology and Rheumatology at the KIMS, Bhubaneswar.

He is a highly skilled and experienced Rheumatologist and Clinical Immunologist who specializes in the diagnosis and treatment of a range of medical conditions related to the immune system and musculoskeletal system. He holds an MD in Medicine and a DM in Clinical Immunology and Rheumatology, making him one of the most qualified Rheumatologists in India. He has over 13 years of experience in treating patients with arthritis, regional or diffuse pain, unexplained fevers, autoimmune diseases, and immune deficiencies, among other conditions.

Dr. Sricheta Parui

is an assistant professor at KIIT Bhubaneswar. She holds a Ph.D. in Computer Science from Indian Institute of Technology Kharagpur (IIT-KGP).

Her research is focused on Artificial Intelligence-based Non-Invasive Brain Signal Processing for Psychophysiological Characteristics Assessment. She did her Master’s in Control System Engineering from the Electrical Engineering Department of Jadavpur University (JU), Kolkata, and a Bachelor’s in Instrumentation and Control Engineering from Calcutta Institute of Engineering and Management (CIEM), Kolkata

Dr. Supriyo Mandal

is currently working as an Assistant Professor (II) in School of Computer Engineering, KIIT University, Bhubaneswar.

He also worked as a Post-doctoral Research Fellow at ZBW – Leibniz Information Centre for Economics, Kiel University, Germany. He did his Ph.D. at the Department of Computer Science and Engineering, IIT Patna in 2022 and M.Tech from IIEST, Shibpur. His research interest lies in Recommender Systems , E-commerce , Social Network Analysis with Machine learning and Deep learning approach.

Dr. Prasenjit Maiti

is an Assistant Professor at the School of Computer Engineering, KIIT DU, Bhubaneswar.

He earned his B.Tech in Computer Science and Engineering from Maulana Abul Kalam Azad University of Technology in 2008 and his M.Tech in Information Technology from IIT Kharagpur in 2013. He has received  Visvesvaraya Ph.D. Fellowship from MeitY, Government of India. His research focuses on Fog and Cloud Computing, and machine learning. He has published in high-impact journals and conferences, received a best paper award, and authored two books on Fog Computing.

Dr. Manoj Ukamanal

is an engineer and academician with expertise in industrial automation and thermal systems.

He previously worked as an Analyst Engineer at Tata Consultancy Services, Pune, where he developed multiple automation tools. His research focuses on impingement heat transfer, nanofluids, computational fluid dynamics, hard machining, and thermal system optimization. He has published three international patents and 23 research articles in SCI/SCOPUS-indexed journals and conferences. Currently, he teaches thermal engineering at UG and PG levels while driving innovation in automation and IoT.

Prof. Ganaraj P. S.

is an Assistant Professor at the School of Electronics, KIIT Deemed to be University.

His research focuses on millimeter-wave filter design and computer vision integration for Connected Autonomous Vehicles and Solar PV modules. With a strong academic and research background, he continues to contribute to advancements in these emerging technologies.

Collaboration with academic Institution

At CIRAI, we believe collaborations and strategic partnerships enable researchers to leverage complementary expertise and shared resources, accelerating innovation and ensuring that findings have a broader real-world impact. By uniting academic, industry, and governmental stakeholders, these alliances foster a dynamic environment that enhances research quality and promotes sustainable growth.

Partner Industries

CIRAI is also working in collaboration with several companies on real world AI solutions like SagePilot AI, Aadya AI, Tata teleservices, money control, HDFC life.

Scope of works

Advanced Learning: Master both foundational and advanced AI topics through specialized courses and certifications.

Hands-On Research: Work on cutting-edge projects with expert faculty in state-of-the-art labs and computational facilities.

Industry Exposure: Gain practical experience through internships, live projects, and hackathons with leading AI companies.

Networking & Events: Engage with renowned researchers and industry leaders at expert talks, workshops, and AI events.

Entrepreneurial Support: Leverage incubation and mentorship programs to transform innovative ideas into market-ready solutions.

Join CIRAI to build the skills, experience, and network needed to thrive in an AI-driven future.

CIRAI offers a dynamic platform for industry partners to collaborate with academic experts and innovative startups. Our centre provides industry stakeholders with:

Collaborative Research: Engage in joint R&D initiatives that address real-world challenges, leveraging our state-of-the-art laboratories and expertise in AI.

Talent Pipeline: Access a pool of skilled graduates and emerging talents ready to drive innovation and digital transformation in your organization.

Customized Training & Workshops: Benefit from tailored training programs and workshops designed to enhance your team’s AI competencies and strategic capabilities.

Innovation Partnerships: Collaborate on pilot projects, hackathons, and innovation challenges that turn disruptive ideas into scalable, market-ready solutions.

Strategic Networking: Connect with academic leaders, industry experts, and policy makers to forge long-term partnerships that drive sustainable growth and technological excellence.

Partner with CIRAI to accelerate your innovation journey, enhance your competitive edge, and contribute to shaping a future where technology meets real-world impact

Impact

AI for Social Good: CIRAI will spearhead projects aimed at solving pressing social challenges—healthcare access, education, climate resilience, agriculture optimization, and smart governance.

Digital Inclusion: The centre will promote awareness and application of AI tools in rural and underprivileged communities through outreach and training programs.

Improved Quality of Life: By leveraging AI in healthcare diagnostics, smart cities, public service automation, and disaster management, societal well-being will be significantly enhanced.

Ethical AI: CIRAI’s interdisciplinary focus will emphasize responsible AI development, focusing on fairness, transparency, and societal impact.

Curriculum Transformation: Introduction of cutting-edge courses, hands-on projects, and certifications will prepare students for AI-centric careers.

Research Excellence: The centre will enable faculty and students to publish in top-tier journals and conferences, driving KIIT towards becoming a global research powerhouse.

Skill Development: Through workshops, hackathons, and Olympiads, CIRAI will cultivate practical AI and problem-solving skills.

Collaborative Learning: Exchange programs and joint degrees with global institutions will enrich academic experiences and global exposure.

Talent Pipeline: CIRAI will serve as a key source of industry-ready AI professionals, addressing the growing skill gap.

Innovation Partner: Industries can co-develop solutions with CIRAI researchers, accelerating product development and reducing R&D costs.

Testbed for Technologies: The centre will offer an environment to prototype and validate AI solutions in real-world conditions before full-scale deployment.

Startup Ecosystem: Through incubation and mentorship, CIRAI will support startups solving industry-specific challenges, fostering a vibrant entrepreneurial culture.

Job Creation: CIRAI will contribute to high-value job creation in AI development, data science, AI operations, and research.

Attracting Investment: The presence of a world-class AI research centre will draw national and international investments in technology, R&D, and startups in Odisha.

Boost to MSMEs: Local businesses will benefit from AI consultancy, automation strategies, and technology-driven efficiency improvements.

Digital Infrastructure Growth: Increased demand for data centers, cloud infrastructure, and AI hardware will stimulate growth in adjacent sectors.

AI Leadership: CIRAI will help position India as a global leader in AI innovation, aligning with the National Strategy on Artificial Intelligence (NSAI).

Bridging Regional Gaps: By bringing advanced AI research to Eastern India, CIRAI will contribute to balanced regional development and decentralization of tech growth.

Strategic Autonomy: Homegrown research in large language models, generative AI, and critical AI technologies will reduce dependency on foreign platforms.

Global Recognition: Hosting international conferences and attracting top researchers will elevate India’s image as a hub for frontier AI research and talent.

Academic or Training Program

Foundational Courses Advanced Courses
Introduction to Artificial Intelligence Deep Learning
Machine Learning Fundamentals Computer Vision
Data Science and Statistical Analysis Reinforcement Learning
Programming for AI AI for Internet of Things (IoT)
Mathematics for AI AI Ethics and Policy
Introduction to Generative AI Diffusion Models and Other Generative Techniques
Introduction to Natural Language Processing Text Generation and Language Models
Python for AI Applications Large Language Models (LLMs)
Embedded Systems for Smart IoT Applications Connected Devices with AWS IoT
Cyber Physics for Industrial IoT Industrial IoT on Google Console
Automation 4.0: Integrating IoT Edge Computing for IIoT Systems
Industrial IoT on Google Console
Practical and Industry-Focused Courses Workshops and Seminars
Hands-on Projects with Generative Models Generative AI in Industry
Advanced Model Optimization and Deployment for Generative AI Generative AI Hackathons and Competitions
Data Privacy and Security in Generative AI AWS IoT Solutions Workshop
Cloud Computing Embedded IoT Solutions Workshop
Industrial Internet of Things
Cyber Security
Drone Technology in IIoT
Mainframe Technologies
Embedded Systems for Smart IoT Applications
Robotics and Automation in IIoT

Social Responsibility

The Center of Innovation and Research in AI (CIRAI) at KIIT Deemed to be University actively promotes social responsibility by empowering students through initiatives like the Summer Internship Program 2025. This program equips participants with AI skills to address societal challenges, such as healthcare and sustainability, fostering inclusive innovation. CIRAI collaborates with communities to ensure technology benefits underserved groups, aligning with KIIT’s broader mission of social impact through education and outreach. By nurturing socially conscious technologists, CIRAI contributes to equitable development and inspires solutions for real-world issues, enhancing community welfare.

Point of Contact

Center of Innovation and Research in AI (CIRAI)

Email: [email protected]

Mob: +91-70088 94967

Address: Campus 7, KIIT Deemed to be University, Bhubaneswar, India