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Driving Innovation Through Every Session A Comprehensive Agenda for AI Research, Healthcare Innovation, and Global Collaboration
The AIKP 2026 agenda has been thoughtfully designed to create an engaging experience that brings together researchers, healthcare professionals, academicians, industry leaders, and innovators from around the world. Each session is carefully structured to encourage knowledge sharing, meaningful discussions, and collaborative research.
From inspiring keynote addresses and expert talks to technical paper presentations, panel discussions, and networking opportunities, every part of the conference is focused on advancing Artificial Intelligence in Healthcare while empowering innovation, research excellence, and global partnerships.
Two days of keynotes, workshops and research presentations
19 – 20 August 2026 • Hybrid • All times IST
Event Launch
Day 1 Wednesday, 19 Aug 2026
Inaugural Session
11:00 – 11:30 IST
30 minutes
11:00 – 11:15 IST
Welcome Address by Chief Guest
Dr. Manjeet Rege
Chair & Professor, Department of Software and Data Science, University of St. Thomas, MN, USA
11:15 – 11:30 IST
Opening Remarks by Convener
Dr. Chhavi Sharma
Senior Research Scientist, AI Research Centre, Woxsen University
Keynote Session I
11:30 – 13:30 IST
2 hours • 30 minutes per keynote (incl. Q&A)
AI Transforming Healthcare: Insights from Global Experts
11:30 – 12:00 IST
Prof. Imed Ben Dhaou
From Smart Grids to Smart Hospitals: The Role of AIoT in Sustainable Healthcare Infrastructure
12:00 – 12:30 IST
Prof. Abejide Ade-Ibijola
GLA Elite Unit 9: Gamifying Artificial Intelligence for SDG Innovation in Africa
12:30 – 13:00 IST
Prof. Anil Pise
From Knowledge to Care: Architecting Self-Improving & Explainable AI Systems for Precision Outcomes
13:00 – 13:30 IST
Prof. Thomas Heinrich Musiolik
Beyond Human and Machine: From System 0 to Cognitive Symbiosis and Societal Intelligence
Lunch Break:
IST – 13:30 – 14:30 | SAST (UTC+2) 10:00 – 11:00 | CEST (UTC+2) 10:00 – 11:00
Paper Presentation
14:30 – 15:30 IST
1 hour • 15 minutes per paper (incl. Q&A)
TRACK – I And TRACK – II (Parallel)
Track I
AI for Medical Diagnostics and Clinical Decision Support
Chair: Dr. Dinesh Kumar
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14:30 – 14:45 Anshuman Singh
PID 63 — MedPredict AI: Symptom-Based Disease Prediction Using a Self-Learning Evolutionary Ensemble Model (SLEEM)
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14:45 – 15:00 Shwetha Nataraju
PID 114 — AI Powered Explainable Detection of Lumpy Skin Disease in Cattle
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15:00 – 15:15 Priyanshu Kumar
PID 141 — Early Screening of PCOS from ECG Waveform Features and Psychological Parameters
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15:15 – 15:30 Yash Anecha
PID 180 — A Differentially Private Federated Learning for Mental Health Risk Stratification: Balancing Clinical Utility and Regulatory Compliance in Multi-Center Healthcare Systems
Track II
AI for Healthcare Analytics and Precision Medicine
Chair: Prof. Elango Rangasamy
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14:30 – 14:45 Sunitha Purushottam Ashtikar
PID 01 – Fostering Generative Artificial Intelligence in Health Care: A Technological Perspective
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14:45 – 15:00 Dr. Saravanan Parthasarathy
PID 120 – MicrobiomeLifeX: A Boruta-Optimized Ensemble Machine Learning Model for Lifestyle Disease Risk Prediction
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15:00 – 15:15 Chaitaili Deb Purkaystha
PID 157 — Beyond Accuracy: Counterfactual Fragility and Demographic Bias in Clinical AI Evaluation of LLMs
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15:15 – 15:30 Kuppa Rajasekhar
PID 181 — Exploring the Nexus Between Hospital Management Efficiency and Patient Care Quality Using Artificial Intelligence Techniques
Workshop
Day 2 Thursday, 20 Aug 2026
Keynote Session II
10:00 – 12:15 IST
Incl. tea break 11:00 – 11:15 IST
From Diagnosis to Deployment: AI Systems in Clinical Practice
10:00 – 10:30 IST
Prof. Alvaro David Orjuela Cañón
A long and detailed journey about how artificial intelligence can support diagnosis and treatment of Tuberculosis
10:30 – 11:00 IST
Dr. Nayid Triana Guzman
AI-Driven Brain-Computer Interface for EEG Signal Acquisition and Processing During Motor Imagery for Standing and Sitting
11:15 – 11:45 IST
Mr. Krishna Chaithanya Vuppala
From Complaint to Care: How AI and Microsoft Copilot Are Redefining Medical Device Safety at Scale
11:45 – 12:15 IST
Mr. Venkateswara Varma Srivatsavaya
From Pilot to Production: Operationalizing Private AI for Trustworthy Healthcare
Tea Break:
IST – 11:00 – 11:15 | SAST (UTC+2) 07:30 – 07:45 | CEST (UTC+2) 07:30 – 07:45
Technical Workshop Session
Parallel Track
11:15 – 11:45 IST
Runs in parallel with Keynote Session II
Technical Workshop
Mr. Vineeth Kalluru
Senior Solutions Architect, Generative AI • NVIDIA, United States
Title: “Agents in Healthcare: Asset Lifecycle Management for Medical Devices”
Vineeth Kalluru is a Generative AI Solutions Architect at NVIDIA, where he helps enterprises deploy large-scale generative AI in production, across silicon, compilers, foundation models, and GPU inference. H e has shipped open-source data curation pipelines adopted by major AI labs, and authored research on agentic skill optimization. He spent his career tracing AI systems from the chip up to the application layer. Previously he worked on developing MLIR based compilers at SambaNova Systems and analyzing TPU performance at Google.
11:45 – 12:15 IST
Runs in parallel with Keynote Session II
Technical Workshop
Mr. Swapneswar Sundar Ray
Assistant Vice President – AI Systems Engineering / Principal Machine Learning Engineer, U.S. Bank
Title: “From AI Knowledge to Reliable Care: Building Governed and Trustworthy AI Systems for Healthcare”
He is an AI engineering leader, researcher, author, and speaker with over 15 years of experience in enterprise artificial intelligence, generative AI, agentic systems, knowledge-driven applications, and responsible AI governance. As an Assistant Vice President and Principal Machine Learning Engineer, he designs secure, scalable, and production-ready AI solutions for complex enterprise environments. He is an IEEE Senior Member, author of technical books and research publications, conference speaker, peer reviewer, editorial board member, program committee member, and judge for international technology competitions. His work focuses on translating advanced AI research into reliable, governed, and practical enterprise systems.
Lunch Break:
IST – 12:15 – 13:30 | SAST (UTC+2) 08:45 – 10:00 | CEST (UTC+2) 08:45 – 10:00
Paper Presentation
13:30 – 14:30 IST
1 hour • 15 minutes per paper (incl. Q&A)
TRACK – III And TRACK – IV (Parallel)
Track III
AI for Medical Imaging, Signal Processing, and Monitoring
Chair: Dr. Shyam Krishan Joshi
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13:30 – 13:45 Mrs. Ashwini Amol Kokate
PID 18 — Epilectic Seizure Detection using a Parallel Kernel-Based Deep Learning Model with SMOTE for Robust EEG
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13:45 – 14:00 Amar Ranjan Dash
PID 151 — Webcam-Based Detection of Visual Impairments for Autonomous Accessibility-Aware Web Personalization
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14:00 – 14:15 Ziwei Shu
PID 158 — Experimental Fragility in AI-Based Predictive Systems: Temporal Validation and Distribution Shift from an Urban Air Quality Case Study
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14:15 – 14:30 Alvaro Orjuela-Cañón
PID 164 — Vision Transformer Analysis for Tuberculosis Classification Using Chest X-Ray Images
Track IV
AI for Assistive Technologies and Human-Machine Collaboration
Chair: Prof. Elango Rangasamy
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13:30 – 13:45 Shwetha Nataraju
PID 42 — AI Assistive Shopping System for the Visually Impaired People
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13:45 – 14:00 Swapneswar Sundar Ray
PID 100 — Cognitive Technical Debt: Governing the Hidden Risks of Human-AI Collaboration
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14:00 – 14:15 B. Pujitha
PID 117 — MentoAI: A Smart System for Student Wellbeing and Risk Assessment
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14:15 – 14:30 Harsh Salve
PID 123 — Design and Performance Evaluation of AMR for Intra-Hospital Logistics in Simulation-to-Real Physical Environments
Valedictory / Closing Session
15:00 – 15:20 IST
20 minutes
15:00 – 15:10 IST
Award Announcement by Co-Convenor
Dr. Bikash Kumar Pradhan
Assistant Professor, Department of Analytics, School of Business, Woxsen University
- Best Paper Award : PID 18 AND PID 180
- Best Presentation Award : Shwetha Nataraju (PID 42)
15:10 – 15:20 IST
Closing Remarks by
Dr. Hemachandran Kannan
Director, AI Research Centre, and Vice-Dean, School of Business, Woxsen University
Practical Notes
- All paper presentations are 15 minutes including Q&A; session chairs may allow a small buffer.
- All keynotes are 30 minutes including Q&A.
- Day-wise paper slots follow Paper ID order and are provisional; the confirmed running order and chair assignments will be circulated to authors separately.
- Hybrid joining details (meeting link, ID and passcode) will be shared with registered speakers and delegates closer to the event.
- For last-minute session changes or timing conflicts, please contact the Convener / Organizing Committee at [email protected].
All times listed are Indian Standard Time (IST, UTC+5:30). Programme subject to change.