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AAAI Doctoral Consortium
Interview with Deepika Vemuri: interpretability and concept-based learning
Lucy Smith
24 Apr 2026
Find out more about Deepika's research bridging the gap between data-driven models and symbolic learning.
Causal models for decision systems: an interview with Matteo Ceriscioli
Lucy Smith
21 Apr 2026
How can we integrate causal knowledge into agents or decision systems to make them more reliable?
Interview with Xinwei Song: strategic interactions in networked multi-agent systems
Lucy Smith
16 Apr 2026
Xinwei Song tells us about her research using algorithmic game theory and multi-agent reinforcement learning.
Formal verification for safety evaluation of autonomous vehicles: an interview with Abdelrahman Sayed Sayed
Lucy Smith
14 Apr 2026
Find out more about work at the intersection of continuous AI models, formal methods, and autonomous systems.
Scaling up multi-agent systems: an interview with Minghong Geng
Lucy Smith
07 Apr 2026
We sat down with Minghong in the latest of our interviews with the 2026 AAAI/SIGAI Doctoral Consortium participants.
Resource-constrained image generation and visual understanding: an interview with Aniket Roy
Lucy Smith
26 Mar 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.
AI and Theory of Mind: an interview with Nitay Alon
Lucy Smith
16 Mar 2026
Find out more about how Theory of Mind plays out in deceptive environments, multi-agents systems, the interdisciplinary nature of this field, when to use Theory of Mind, and when not to, and more.
Studying the properties of large language models: an interview with Maxime Meyer
Lucy Smith
11 Mar 2026
What happens when you increase the prompt length in a LLM? In the latest interview in our AAAI Doctoral Consortium series, we sat down with Maxime, a PhD student in Singapore.
Studying multiplicity: an interview with Prakhar Ganesh
Lucy Smith
05 Mar 2026
What is multiplicity, and what implications does it have for fairness, privacy and interpretability in real-world systems?
Reinforcement learning applied to autonomous vehicles: an interview with Oliver Chang
Lucy Smith
25 Feb 2026
In the third of our interviews with the 2026 AAAI Doctoral Consortium cohort, we hear from Oliver Chang.
Extending the reward structure in reinforcement learning: an interview with Tanmay Ambadkar
Lucy Smith
23 Feb 2026
Find out more about Tanmay's research on RL frameworks, the latest in our series meeting the AAAI Doctoral Consortium participants.
Interview with Zijian Zhao: Labor management in transportation gig systems through reinforcement learning
Lucy Smith
02 Feb 2026
In the second of our interviews with the 2026 AAAI Doctoral Consortium cohort, we hear from Zijian Zhao.
Interview with Xiang Fang: Multi-modal learning and embodied intelligence
Lucy Smith
20 Jan 2026
In the first of our new series of interviews featuring the AAAI Doctoral Consortium participants, we hear from Xiang Fang.
2025 AAAI / ACM SIGAI Doctoral Consortium interviews compilation
Lucy Smith
18 Dec 2025
We collate our interviews with the 2025 cohort of doctoral consortium participants.
Interview with Janice Anta Zebaze: using AI to address energy supply challenges
Lucy Smith
07 Oct 2025
Find out more about research combining renewable energy systems, tribology, and artificial intelligence.
Interview with Zahra Ghorrati: developing frameworks for human activity recognition using wearable sensors
Lucy Smith
03 Oct 2025
Find out more about research developing scalable and adaptive deep learning frameworks.
Interview with Yezi Liu: Trustworthy and efficient machine learning
Lucy Smith
10 Sep 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.
Interview with Benyamin Tabarsi: Computing education and generative AI
Lucy Smith
28 Aug 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.
Interview with Haimin Hu: Game-theoretic integration of safety, interaction and learning for human-centered autonomy
Lucy Smith
21 Aug 2025
Hear from Haimin in the latest in our series featuring the 2025 AAAI / ACM SIGAI Doctoral Consortium participants.
Interview with Flávia Carvalhido: Responsible multimodal AI
Lucy Smith
12 Aug 2025
We hear from PhD student Flávia about her research, what inspired her to study AI, and her experience at AAAI 2025.
Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
Lucy Smith
05 Aug 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.
Interview with Aneesh Komanduri: Causality and generative modeling
Lucy Smith
31 Jul 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.
Interview with Kate Candon: Leveraging explicit and implicit feedback in human-robot interactions
Lucy Smith
25 Jul 2025
Hear from PhD student Kate about her work on human-robot interactions.
Interview with Mahammed Kamruzzaman: Understanding and mitigating biases in large language models
Lucy Smith
17 Jun 2025
Find out how Mahammed is investigating multiple facets of biases in LLMs.
Interview with Amar Halilovic: Explainable AI for robotics
Lucy Smith
10 Jun 2025
Find out about Amar's research investigating the generation of explanations for robot actions.
Interview with Debalina Padariya: Privacy-preserving generative models
Lucy Smith
03 Jun 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.
Interview with Filippos Gouidis: Object state classification
Lucy Smith
20 May 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.
Interview with Ananya Joshi: Real-time monitoring for healthcare data
Lucy Smith
13 May 2025
Find out how Ananya worked with domain experts to develop a system to identify respiratory outbreaks.
Interview with Onur Boyar: Drug and material design using generative models and Bayesian optimization
Lucy Smith
09 May 2025
Find out how Onur is applying machine learning techniques to bioinformatics-related problems.
Interview with Amina Mević: Machine learning applied to semiconductor manufacturing
Lucy Smith
17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.
Interview with Joseph Marvin Imperial: aligning generative AI with technical standards
Lucy Smith
02 Apr 2025
Joseph tells us about his PhD research so far and his experience at the AAAI 2025 Doctoral Consortium.
Interview with Lea Demelius: Researching differential privacy
Lucy Smith
25 Mar 2025
We hear from doctoral consortium participant Lea Demelius who is investigating the trade-offs and synergies that arise between various requirements for trustworthy AI.
Interview with Tunazzina Islam: Understand microtargeting and activity patterns on social media
Lucy Smith
11 Mar 2025
Hear from Doctoral Consortium participant Tunazzina about her research on computational social science, natural language processing, and social media mining and analysis
Interview with Kayla Boggess: Explainable AI for more accessible and understandable technologies
Lucy Smith
14 Feb 2025
Hear from Doctoral Consortium participant Kayla about her work focussed on explanations for multi-agent reinforcement learning, and human-centric explanations.
Interview with Kunpeng Xu: Kernel representation learning for time series
Lucy Smith
11 Feb 2025
We hear from AAAI/SIGAI doctoral consortium participant Kunpeng Xu.
2024 AAAI / ACM SIGAI Doctoral Consortium interviews compilation
Lucy Smith
20 Dec 2024
We collate our interviews with the 2024 cohort of doctoral consortium participants.
