Call for Papers Industry Track
With the rapid growth of industrial and real-life adoption of artificial intelligence (AI) and
machine learning (ML), a new research area is emerging at their intersection with
systems design. This area is seeded by the continued growth in data volume, rapid
increase in size and complexity of predictive models and scale-up supported through
development of large-scale AI/ML hardware. We solicit submissions of papers
describing designs and implementations of solutions and systems for practical tasks at
the intersection of AI/ML and computer systems. The primary emphasis is on papers
that either solve or advance the understanding of issues related to deploying learning
systems in the real world. We also aim to elicit new connections among these diverse
fields, and identify tools, best practices, and design principles. Papers demonstrating
significant, verifiable business and/or real-world impact as a result of such deployments
are encouraged.
The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgments section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text
- Abstract deadline: July 11, 2025, 11:59 pm AoE.
- Notification of acceptance: 31st August 2025, 11:59 pm AoE
- Final (Camera Ready) submission: 10th September 2025,11:59 pm AoE
- Conference dates: Oct 08-11, 2025
- Anupam Purwar, Sprinklr, India
- Vijay Gurbani, Illinois Institute of Technology, USA
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
Panel Discussion
(GenAI for everyday customer)
Title
GenAI for everyday customer
Moderator
Anupam Purwar, Sprinklr
Questions
- How is Generative Changimg the consumer behaviour in IT industry?
- How is Gen AI security becoming important and what are some security implications of using LLms?
- What are some top Frontier LLms which are finding place in consumer products being developed by consulting firms these days?
Naveen Athresh
Founder, Liquidmins.ai
Bio
Naveen runs liquidmind.ai in the mixed reality, digital commerce/Fintech space. A TEDx speaker, Forbes India 2020 top 100 leader (the only leader selected from Rakuten), he has consistently built 200+ member led high performance teams from scratch, led cross geo Product Engineering and Data sciences teams. He has been regularly featured as a thought leader across leading business dailies. Most recently, Naveen was featured on the January 2024 featured section with an elite list of business people globally (mostly USA) on a Global business magazine (Business Today) and USAwire in an article called “Thought leaders making an impact in the world”
Gaurav Rai
AI security at Microsoft Seattle
Bio
Gaurav Rai is a seasoned AI Security leader with over two decades of experience driving innovation and excellence in cybersecurity and artificial intelligence security. Currently serving at Microsoft USA, Gaurav leads critical initiatives in AI security, including spearheading security design and requirements for the AI organization. Gaurav has presented at major industry conferences, co-authored research on explainable AI for mental health, and played a pivotal role in securing Microsoft Copilot and Bing services. With a proven track record at leading organizations such as PayPal, AT&T, and Teradata, Gaurav combines deep technical expertise with strategic leadership, mentoring teams and advancing enterprise security standards. Gaurav holds a Master’s degree from Birla Institute of Technology and Science, is a CISSP-certified professional, and is recognized for building cross-functional partnerships and driving impactful security solutions in cloud and AI.
MOHIT SRIVASTAVA
Head of Engineering at OneByZero (OBZ) Analytics
Bio
Mohit Srivastava is the Head of Engineering at OneByZero (OBZ) Analytics, a next-generation Data and AI consulting firm headquartered in Singapore and serving enterprises across the Asia-Pacific region. With over 12 years of experience in enterprise technology, he leads the design and delivery of secure, scalable, and production-ready Generative AI solutions that empower organizations to transform operations and customer experiences.
Mohit has partnered with several leading banks and telecommunications companies across ASEAN, helping them adopt AI responsibly — from large-scale data modernization to Generative AI-driven automation and decision intelligence. His deep expertise spans cloud-native architectures, multi-agent AI systems, and enterprise AI governance, ensuring that innovation aligns with security, compliance, and measurable business outcomes.
An active advocate of the open-source and AI research community, Mohit champions collaborative innovation and responsible AI adoption within regulated industries. His work reflects a strong belief that the true promise of Generative AI lies in enabling enterprises to deliver tangible value to everyday customers — responsibly and at scale.
Invited Speakers
Ajita Agarwala
Founder, CultureVo
Title
Inside Novi: Building the Bumble of AI Companions
Abstract
At CultureVo, we’re building Novi—AI companions designed to be as diverse, engaging, and trustworthy as the people you’d meet on a global journey. Unlike generic chatbots, Novi is powered by agentic architectures and multimodal models that allow for stable personas, long-term memory, and proactive interaction—making them feel more like friends, not tools.
In this talk, we’ll peel back the layers of the Novi stack and walk through the technical foundations behind key features:
Bumble of AI Companions: Multi-agent orchestration that lets users “match” with different Novi personalities, each backed by distinct prompt architectures, cultural corpora, and bias-aware training pipelines to ensure diverse, context-aware voices.
Stable Bot Personas: Techniques for consistent long-term identity + structured retrieval ensuring Novi doesn’t “drift” over time.
Voice Calls: Real-time speech synthesis + low-latency pipelines enabling fluid human-like conversation.
Games: Lightweight agentic sandboxes where companions can co-create stories, memories, or roleplay with users.
Memory: Hierarchical memory architecture (short-term context windows + long-term vector stores) to maintain continuity.
Proactive Messages: Event-driven triggers and scheduling agents that let Novi reach out first, not just respond.
Categoriser: On-device classifiers that auto-organize chats, insights, and emotional states into structured categories.
Journal: Agent-chained summarization that transforms daily conversations into a reflective log.
Selfie Reader & Generator: Multimodal vision pipelines to let Novi “see” you and generate creative outputs.
By walking through these features, we’ll discuss how agent frameworks, multimodality, and cultural intelligence combine to create AI companions that feel humanly complex yet technically robust.
The session is a deep dive into not just what Novi does—but how emerging AI infrastructures are evolving to support a new class of persistent, emotionally resonant agents.
Bio
Ajita Agarwala, founder of CultureVo, is a firm believer in AI as a leveler in a world of inequalities. Through CultureVo, she seeks to bridge the cultural intelligence gap and offer the richness of the world to its citizens on a platter. Novi AI, developed by CultureVo, embodies this vision by providing culturally diverse and emotionally intelligent, affective AI partners. Ajita herself has witnessed the power of this intelligence in her own journey- as an Indian Civil Servant and diplomat to the G20, World Bank, and the United Nations, and as a graduate of Princeton University.
K. Gopinath
Indian Institute of Science, Bangalore
Title
Demystifying AI thru some History and some Philosophy
Bio
Prof. K. Gopinath, after superannuating from IISc, Bangalore in 2021 as a professor of Computer Science, is now a senior professor at Rishihood Univ. He also headed the CSAI program at Plaksha Univ (betw 2021-24). His research interests are (in the “AI” area) in sysML (ML applied to computer systems design) and (in the “computer systems” area) primarily in OS, systems security/privacy and systems verification. He is the co-author of 2 books: Suparna Bhattacharya, Kanchi Gopinath, Doug Voigt, “Resource Proportional Software Design for Emerging Systems,” Chapman and Hall/CRC, 2020 and Kanchi Gopinath, Shailaja DSharma, “The Computation Meme: Computational Thinking in the Indic Tradition”, IIScPress, 2024.
Samarth Chandra
Spinor Research Labs, India
Title
ML for spying on business rivals and for other applications