DILDAR ALI

About

I am a PhD graduate in Theoretical Computer Science from Indian Institute of Technology (IIT) Jammu, specializing in influence maximization, submodular optimization, and algorithm design.

My research focuses on developing scalable algorithms for multi-channel advertisement systems by integrating billboard and social network influence. I work extensively with submodular and bisubmodular functions, combinatorial optimization, and probabilistic diffusion models such as the Independent Cascade Model.

I have proposed novel frameworks for regret minimization, fairness-aware allocation, and multi-product influence optimization, with publications in leading venues including AAAI, SEA, PAKDD, ACM SAC, DEXA, ADC, ADBIS, WISE, and IEEE BigData.

Beyond research, I have served as a teaching assistant for courses including Machine Learning, Algorithms, Databases, and Theory of Computation.

Research Interests:

• Submodular & Combinatorial Optimization

• Influence Maximization & Network Science

• Algorithm Design & Approximation Algorithms

• Multi-Agent Systems

I am currently seeking postdoctoral opportunities in theoretical computer science, optimization, and data-driven systems.

Open to academic collaborations and research discussions.

Employment

• National Tsing Hua University Postdoctoral Fellow
  2026 - 2027

Education

• Indian Institute of Technology Jammu Ph.D.
  2022 - 2025

Projects & Funding

Projects & funding information is unavailable.

Publications (20)

• Group Trip Planning Query Problem with Multimodal Journey
  Lecture Notes in Computer Science 2026 DOI: 10.1007/978-3-032-02088-8_11
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• Influential Slot and Tag Selection in Billboard Advertisement
  Lecture Notes in Computer Science 2026 DOI: 10.1007/978-3-032-02049-9_21
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• A regret-aware framework for effective social media advertising
  International Journal of Data Science and Analytics 2026 DOI: 10.1007/S41060-026-01123-8
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• Fairness Driven Slot Allocation Problem in Billboard Advertisement
  Lecture Notes in Computer Science 2025 DOI: 10.1007/978-981-96-8173-0_5
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• Scalable Submodular Policy Optimization via Pruned Submodularity Graph
  2025 DOI: 10.48550/ARXIV.2507.13834
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• Multi-slot Tag Assignment Problem in Billboard Advertisement
  Lecture Notes in Computer Science 2025 DOI: 10.1007/978-981-96-1242-0_12
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• Multi-product Influence Maximization in Billboard Advertisement
  2025 DOI: 10.48550/ARXIV.2510.09050
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• Balanced Popularity in Multi-Product Billboard Advertisement
  2025 DOI: 10.48550/ARXIV.2510.20600
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• Approximately Bisubmodular Regret Minimization in Billboard and Social Media Advertising
  2025 DOI: 10.48550/ARXIV.2510.09084
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• An Effective Tag Assignment Approach for Billboard Advertisement
  Lecture Notes in Computer Science 2025 DOI: 10.1007/978-981-96-0579-8_12
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