Here is a fully re-authored, conference-specific awards version for your event:
Date: 24 October 2025
Time: 8:00 AM (MYT)
Conference Chair & Host:
Prof. Dr. Abdul Rahman bin S. Senathirajah
INTI International University, Malaysia
ICSIAICTSAW 2025 celebrates the forefront of symbiotic intelligence, autonomous AI systems, IoT-connected ecosystems, and self-adaptive computing architectures. The Distinguished Research Awards Program honours scholars and innovators whose work bridges cutting-edge research with transformative real-world application. Five award categories cover the full spectrum of contributors — from established academics to emerging scholars and industry trailblazers.
Objective:
Recognizes researchers and professionals whose scholarly contributions advance self-learning AI systems, symbiotic computing models, and intelligent automation frameworks.
Eligible Participants:
• Faculty members
• Research scientists
• Practicing AI engineers
• Independent scholars
Evaluation Criterion | Max Points | What Evaluators Look For |
Research Originality | 30 pts | Presents a genuinely novel contribution — new model, framework, or theory not previously established in literature. |
Methodological Soundness | 25 pts | Experiments are well-designed, reproducible, and evaluated against appropriate baselines. |
Relevance to Conference Theme | 20 pts | Direct alignment with symbiotic intelligence, adaptive AI, or connected computing domains. |
Clarity & Academic Writing | 15 pts | Logical structure, precise language, and rigorous citation practice. |
Future Research Potential | 10 pts | Opens meaningful avenues for follow-on research or applied development. |
Recognition:
Honor Plaque + Certificate of Excellence
Awardee: Keerthi Amistapuram
Recognized Paper: Agentic AI for NextGeneration Insurance Platforms: Autonomous Decision- Making in Claims and
Policy Servicing
Objective:
Celebrates industry-led research delivering deployable AI and connected-technology solutions for real-world adaptive systems with measurable business outcomes.
Who May Apply:
• Corporate R&D teams
• Technology startups
• Enterprise solution providers
Eligibility Rule:
Lead author must be currently employed in an industry organization at the time of submission.
Evaluation Criterion | Max Points | What Evaluators Look For |
Real-World Deployment | 30 pts | Solution has a live deployment, pilot, or clearly defined production roadmap. |
Quantified Business Impact | 25 pts | KPIs demonstrated: cost reduction, efficiency gains, error rates, or adoption metrics. |
Technical Sophistication | 20 pts | Goes beyond off-the-shelf AI tools — custom models, architectures, or novel integrations. |
Scalability & Adaptability | 15 pts | System can scale across geographies, user loads, or connected device ecosystems. |
Responsible AI Practice | 10 pts | Addresses fairness, data privacy, transparency, and ethical AI deployment. |
Recognition:
✔ Honor Plaque
✔ Certificate of Excellence
Awardee: Rafael Cortes
Recognized Paper:
Biologically Inspired Co-Learning for Multi-Agent IoT Systems
Objective:
Encourages outstanding student research in adaptive intelligence, connected sensing, and applied AI engineering rewarding fresh scientific thinking and rigorous experimentation.
Who May Apply:
• Undergraduate students
• Postgraduate scholars
• Doctoral researchers
Recognition:
Honor Plaque + Certificate of Excellence
Evaluation Criterion | Max Points | What Evaluators Look For |
Scientific Rigor | 25 pts | Well-defined hypothesis, valid experimental design, and correct statistical interpretation of results. |
Novelty of Approach | 25 pts | Demonstrates independent thinking — not merely replicating existing work or course exercises. |
Depth of Analysis | 20 pts | Goes beyond surface results; critically examines findings and honestly discusses limitations. |
Writing & Presentation | 20 pts | Coherent narrative, professional structure, and appropriate citation of prior art. |
Cross-Domain Application | 10 pts | Bonus for work bridging AI with adjacent domains such as healthcare, smart cities, or climate tech. |
Awardee: Elias Muller
Recognized Paper:
Emergent Behaviors in Symbiotic AI–IoT Networks
Objective:
Honours early-career male professionals contributing innovative research to adaptive intelligence systems and connected world architectures within 15 years of graduation.
Who May Apply:
• Professionals within 15 years of graduation
• Industry technologists
• Research associates
Evaluation Criterion | Max Points | What Evaluators Look For |
Technical Innovation | 30 pts | Introduces a technically advanced solution demonstrating mastery of current AI and IoT state-of-the-art. |
Applied Impact | 25 pts | Research translates into a prototype, proof-of-concept, or product with measurable outcome. |
Problem-Solving Originality | 20 pts | Identifies and addresses a non-trivial, under-explored problem in the conference domain. |
Presentation & Communication | 15 pts | Communicates complex ideas accessibly to a diverse technical and non-technical audience. |
Innovation Track Record | 10 pts | Consistent history of creative contributions — publications, patents, open-source, or awards. |
Recognition:
Honor Plaque + Certificate of Excellence
Awardee: Luka Petrovic
Recognized Paper:
Edge-Native AI for Self-Optimizing Sensor Networks
Objective:
Recognizes outstanding female innovators advancing AI-driven automation, connected technologies, and self-adapting system platforms through original research and practical deployment.
Who May Apply:
• Early-career female professionals
• Applied AI researchers
• IoT and automation engineers
Evaluation Criterion | Max Points | What Evaluators Look For |
Transformative Contribution | 30 pts | Research has the potential to meaningfully reshape a business process, system design, or societal outcome. |
Innovative Methodology | 25 pts | Employs a novel approach, unique dataset, or unconventional technique that advances the field. |
Inclusive & Ethical Design | 20 pts | Considers accessibility, equity, and responsible AI principles in the design and deployment of the solution. |
Academic Quality | 15 pts | Meets rigorous standards for structure, literature review, and scientific argumentation. |
Practical Pathway | 10 pts | Provides a clear roadmap from research findings to deployment in real-world intelligent systems. |
Recognition:
Honor Plaque + Certificate of Excellence
Awardee: Jeevani Singireddy
Recognized Paper:
AI-Driven Financial Intelligence: Transforming Tax, Accounting, and Bookkeeping Automation
These awards are proudly supported by
INTI International University, Malaysia