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Admission 2026-27

International Conference

International Conference on“AI-Driven Semiconductor and Aerospace Ecosystems: Advancing Human Potential Across Engineering, Healthcare, and Management”

The University is at the forefront of radical and student serving educational innovations. It has been crafted to serve as a hub where all the stakeholders can collaborate in optimizing teaching-learning processes to create a quality outcome for the society in general. The collaborative system ensures tailor made programmes, effective teaching learning processes, creation of enabling habitat, pro-active participation of industry, embedding of stakeholders at every step of value chain and others. The broad outcome is helping students in transforming their passion into career of their choice.

Unique Pedagogy

Project Based Learning

Scholarship And Research Grants

Regular Industrial Visits

Choice Based Credit System

Outcome Based Education (OBE)

A Beautiful Art Embedded Campus

Active Industry Academic Collaboration

Rich Curriculum

Designed By Industry And Experienced Faculties

Distinct Blend Of Courses

Specialized Electives, Workshops, Projects, Seminars

International Internships

And Research Projects Collaborations

Various Workshops

Block Chain, Artificial Intelligence, Robotics, Big Data Analytics, Machine Learning, And More

About the Campus of ITM SLS Baroda University

ITM SLS BARODA UNIVERSITY VADODARA, GUJARAT, INDIA is a well-reputed State Private University established in 2019 through the State Legislative act no 20 of 2019, Government of Gujarat and recognized by the University Grants Commission, New Delhi under the section 2(f) of the UGC Act, 1956. Samata Lok Sansthan (SLS)Trust, the main sponsoring body of the University, has been in the field of providing quality higher education for the last 20 years in India. In Gujarat, through various colleges and academic institutions, it has been engaged in delivering higher education in the areas of engineering, architecture, pharmacy, management, etc., for more than 10 years. These colleges and institutions have now come under the fold of ITM (SLS) Baroda University, Vadodara, Gujarat, India, after the notification by the Government of Gujarat and recognition by University Grants Commission, New Delhi.
The University is at the forefront of radical and student-serving educational innovations. It has been crafted to serve as a hub where all the stakeholders can collaborate in optimising teaching-learning processes to create a quality outcome for the society in general. The collaborative system ensures tailor made programmes, effective teaching learning processes, creation of enabling habitats, pro-active participation of industry, embedding of stakeholders at every step of the value chain and others. The broad outcome is helping students in transforming their passion into the career of their choice.
The University is at the forefront of radical and student-serving educational innovations. It has been crafted to serve as a hub where all the stakeholders can collaborate in optimising teaching-learning processes to create a quality outcome for the society in general. The collaborative system ensures tailor made programmes, effective teaching learning processes, creation of enabling habitats, pro-active participation of industry, embedding of stakeholders at every step of the value chain and others. The broad outcome is helping students in transforming their passion into the career of their choice.

Our everyday modern lifestyle has been wrapped by the outer glory of city life where there is no fresh air, no greeneries, where the voices of birds have been replaced by the hustles and bustles of the vehicles, where art has been immersed and buried under the tall-sharp buildings. The campus of ITM SLS Baroda University provides you with all these souvenirs that embark both the mind and the soul of the younger generation with an enchantment that can only be tasted with the presence of human life. The serene environment makes you forget all the worries.

About Conference

The AI Fusion–2026 conference focuses on the accelerating convergence of Artificial Intelligence, Semiconductors, and Aerospace systems, shaping next-generation capabilities across engineering, healthcare, and management.

This edition explores how AI-integrated semiconductor technologies and aerospace advancements are transforming automation, defense, aviation, chip manufacturing, space research, and human-centric intelligent systems.

Participants will engage in expert-led sessions covering:

  • AI-enabled semiconductor chip evolution and fabrication
  • AI-powered aerospace systems, navigation, UAV autonomy & satellite analytics
  • Applications of AI across engineering, healthcare, and managerial domains
  • Societal, ethical, and regulatory challenges in AI-driven mission-critical systems

The conference aims to bridge academia–industry–research collaboration, enabling innovations that accelerate industrial competitiveness, technological self-reliance, and national capability.

Conference Objectives

  1. Advance semiconductor and aerospace innovation through AI-driven design automation, predictive maintenance, mission control, and fabrication optimization. (Focus: Industry & Technology Advancement)
  2. Strengthen interdisciplinary transformation by integrating AI into engineering, healthcare, management, and operations for futuristic workforce development. (Focus: Knowledge Integration & Skill Development)
  3. Promote ethical, secure, and responsible deployment of AI in mission-critical semiconductor and aerospace operations. (Focus: Responsible Innovation)
  4. Establish international collaboration platforms connecting researchers, startup innovators, defense organizations, chip manufacturers, and academic institutions. (Focus: Collaboration & Future Readiness)

Call For Research Papers

Researchers, academicians, industry professionals, and students are invited to submit original and unpublished works aligned with the conference theme and sub-themes. Similarity index must be below 10%.

Guidelines For Manuscript Preparation & Submission

  • Only Word document submissions will be accepted
  • Word limit: 3000–5000 words
  • Page-1: Title, Author(s), Affiliation(s), Contact details
  • Page-2 onward: Title, Abstract (~200 words), 5 Keywords + full paper
  • Format: IEEE / APA
  • Submission email: to be updated by organizing team

Conference Tracks & Topics (Tentative / Not Limited to)

Track 1: AI-Powered Semiconductor Innovation

  • AI-based logic synthesis, RTL design & chip floor-planning
  • AI for defect detection, predictive yield, material discovery
  • Intelligent fabrication, lithography modeling, process automation
  • Chip security, thermal optimization & reliability prediction

Track 2: AI-Enabled Aerospace Systems

  • AI for UAV autonomy, drone swarms & flight control
  • Satellite-based AI for navigation, climate & disaster intelligence
  • AI-powered avionics, propulsion optimization & digital flight twins
  • Space robotics, deep-space exploration & mission-planning algorithms

Track 3: Engineering & Smart Industries

  • Robotics & cyber-physical systems, smart manufacturing
  • Digital twins, industrial automation & sustainability analytics
  • Human-AI teaming for industrial safety & reliability
  • AI for infrastructure monitoring & predictive maintenance

Track 4: Healthcare & Medical Intelligence

  • Medical image diagnostics & precision therapeutics
  • Robotic surgery, prosthetics & rehabilitation AI systems
  • AI for hospital administration, emergency forecasting & telemedicine
  • Bio-signal analytics, wearable AI & digital health twins

Track 5: Management, Strategy & Leadership

  • AI for organizational decision-making & business intelligence
  • Workforce analytics, HR automation & leadership in the AI era
  • Supply chain & logistics optimization via predictive analytics
  • AI-driven fintech, marketing analytics & risk intelligence

Track 6: AI for Environment, Climate & Sustainable Development

  • AI-driven climate modeling, weather prediction & extreme event forecasting
  • Environmental monitoring using satellite imagery, IoT & geospatial AI
  • Smart energy systems, renewable optimization & carbon footprint analytics
  • AI for water resources, air quality monitoring & pollution control
  • Sustainable agriculture, biodiversity conservation & ecosystem intelligence
  • Circular economy, waste management & green manufacturing analytics

Track 7: AI in Cybersecurity, Privacy & Digital Trust

  • AI-driven threat intelligence, malware detection & cyber-attack prediction
  • Secure AI systems, adversarial ML & robustness engineering
  • Privacy-preserving AI, federated learning & secure data sharing
  • AI for network security, intrusion detection & zero-trust architectures
  • Cybersecurity for IoT, smart grids, autonomous systems & Industry 4.0
  • Blockchain, digital forensics & AI-enabled cyber risk management

Track 8: Mathematics & Theoretical Foundations for AI

  • Algebra, topology & geometry underlying representation and symmetry in AI systems
  • Probability theory, measure theory & mathematical statistics for learning foundations
  • Convex analysis, optimization theory & variational methods (theoretical aspects)
  • Graph theory, combinatorics & discrete mathematical structures for intelligent networks
  • Logic, set theory & mathematical foundations of computation and reasoning

Important Dates:

Event
Date
Full Paper Submission
15 February 2026
Notification of Acceptance
20 March 2026
Author Registration & CRC Submission
05 April 2026
Conference Dates
17–18 April 2026
Registration Fee
Delegate Category
Amount (INR)
Industry
2000 /-
Academicians
1500 /
Students / Research Scholars
1000 /-

REVIEW PLAN

The review process for AI Fusion – 2026 is designed to ensure scientific integrity, originality, technical soundness, and relevance to the conference theme. It follows Springer’s guidelines for proceedings and guarantees compliance with international publication standards.

1. Peer-Review Method

  • Double-blind peer-review applied to all submissions
  • Identities of authors and reviewers are concealed to prevent bias
  • No paper is reviewed by individuals affiliated with an author’s institution

2. Reviewer Requirements

  • Minimum of two qualified independent reviewers per paper
  • Reviewers possess a PhD or ≥10 years of relevant R&D experience
  • Reviewers selected from multiple countries to ensure diversity and avoid regional bias
  • Subject alignment ensured through expertise matching with paper keywords

Justification

Multiple reviewer validation and controlled reviewer–paper mapping increase confidence
in decision quality and strengthen the rigor of the evaluation process.

3. Reviewer Workload

  • Maximum of 10 papers assigned per reviewer
  • Workload distribution monitored by the Technical Program Committee (TPC)
  • Controls ensure balanced assignments and adequate attention to detail

4. Review Criteria

  • Each paper is evaluated using a structured scoring rubric
  • Assessment criteria are applied consistently across all submissions
  1. Originality & Novelty
  2. Technical Quality & Methodological Rigor
  3. Reproducibility of Results
  4. Relevance to Tracks & Practical Applicability
  5. Clarity of Presentation, Structure & Language
  6. Ethical & Responsible AI Deployment

Each reviewer provides:

  • Numerical score
  • Qualitative comments
  • Mandatory revision recommendations when applicable

5. Decision Rules

Evaluation Outcome
Inclusion in Proceedings
Accepted – No Revision
Included
Accepted – Minor Revision
Final version reviewed by Session Track Chair
Accepted – Major Revision
Mandatory re-review by at least 1 original reviewer
Rejected
Not included

Expected acceptance rate: 45–55%

6. Plagiarism & Ethics Screening

  • Turnitin Similarity Check
    • All submissions checked before review assignment
    • Similarity threshold: <10%
    • Self-plagiarism, duplicate publications & inappropriate citations flagged
  • AI-Generated Content Screening
    • Papers suspected of heavy AI-generated text undergo:
    • Manual verification
    • Consistency cross-check between abstract, results & methodology
    • Statistical reproducibility validation
  • SciGen / Automatic Paper Detection
    • Detection tools applied if suspicious phrasing or structure is observed Outcome: Ensures authenticity and prevents predatory submissions — key Springer requirement.

7. Data Handling & Confidentiality

  • All manuscripts and reviews handled via a secured academic management system (EasyChair)
  • Reviewer identities remain confidential and protected
  • Review reports retained for 5 years for audit and reference

8. Quality Audits

Before Springer submission:

  • Cross-check of reviewer comments against author revision changes
  • Proofreading for grammar and scientific language quality
  • Full metadata verification (ORCID, affiliations, DOIs where applicable)

9. Post-Conference Publication Process

  • Accepted CRC versions undergo an additional review to confirm:
    • All required revisions have been incorporated
    • Ethical declaration statements are included
    • References are formatted according to IEEE / APA standards

Conference Committee

Chief Patrons

Mrs. Kanu Priya Singh Rathore ,PRESIDENT, ITM(SLS) BARODA UNIVERSITY, VADODARA

Shri Ravindra Singh Rathore, VICE PRESIDENT, ITM(SLS) BARODA UNIVERSITY, VADODARA

Internal Advisory Board

Professor (Dr.) Vedvyas Jayprakashnarayan Dwivedi , Provost

Dr. Dinesh K. Kanchan, Registrar

Prof. K. Baba Pai, Director – Industry Collaboration/ Dean SOTE

Prof. Vimal Kumar Jain, Dean SOP

Lt. Col. A. V. Gupta, Director Operations and Logistics

Convenor

Dr. Pradeep Laxkar, Dean – SoCSET

Co-Convenor

Dr. Rahim Munshi, Dean – SOB

Tentative International Advisory Board Members/Speakers

  • Prof Mark Goh , NUS Singapore.
  • Ganesh Jivani ,CEO and Managing Director · Matrix Comsec
  • Mr. Maulik Bhansali ,CEO of NetWeb and Vice Chairman – NASSCOM National SME Council
  • Han Ngi Juan, General Manager, Yokogawa Engineering Asia
  • Prof. Sheng-Lung Peng , Professor, National Dong Hwa University, Taiwan.
  • Dr. Tushar Sehga , AIIMS Delhi
  • Dr. Mani Madhukar,Program Manager CSR for Academia, IBM India Pvt. Ltd.
  • Prof. Ashish Baldi, National Teachers’ Awardee GoI & Dean Research & Development, Maharaja Ranjit Singh Punjab Technical University, Bathinda, Punjab
  • Hiren Kakkad, CEO & Founder of Stat Modeller.

Organising Committee

  • Dr. Kalpapana Metre, SOCSET
  • Dr. Jaya Banarjee , SOCSET
  • Dr. Ashutosh Abhangi , SOCSET
  • Dr. Sourabh Jain ITMBU SOB.
  • Dr. Mahesh Patel , SOTE
  • Dr. Jaswanti Mehatre , SOP
The University is at the forefront of radical and student-serving educational innovations. It has been crafted to serve as a hub where all the stakeholders can collaborate in optimising teaching-learning processes to create a quality outcome for the society in general. The collaborative system ensures tailor made programmes, effective teaching learning processes, creation of enabling habitats, pro-active participation of industry, embedding of stakeholders at every step of the value chain and others. The broad outcome is helping students in transforming their passion into the career of their choice.