Computer Science and Engineering: Recent submissions

  • Graph structure learning based DL model for ECG anomaly prediction 
    Oberoi, Rupin; Gupta, Anubha (Advisor) (IIIT-Delhi, 2024-04-29)
    Electrocardiography (ECG) is widely used in cardiography as a non-invasive diagnostic tool for providing a graphical representation of the electrical activity in the heart over a duration of time. It captures the electrical ...
  • Understanding COVID-19 genomic sequences through the lens of strainformer, a transformer model 
    Chilkoti, Mansi; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-04-26)
    This project aims to unravel the complex genomic dynamics of COVID-19, which are critical for understanding its virulence and developing targeted therapeutic interventions. Our approachfocuses on meticulously analyzing the ...
  • Enhancing counter speech models: exploring intent and implication factors 
    Saini, Manav; Akhtar, Md Shad (Advisor) (IIIT-Delhi, 2024-04-30)
    This project report investigates the underlying factors contributing to hate speech through an in-depth literature analysis of psychological studies. It identifies intent and implication as critical aspects shaping hate ...
  • Autonomous indoor mobility with augmented physical testbed 
    Vhavle, Vishwesh; Sharma, Jatin; Kaul, Sanjit K. (Advisor); Anand, Saket (Advisor) (IIIT-Delhi, 2024-05-13)
    In this project, we introduce a physical testbed that enables the integration of virtual scenarios, which allows us to develop and evaluate algorithms for localization, perception, and pathplanning in a safe and efficient ...
  • Multi-modal fusion transformer for understanding digital advertisements 
    Khurana, Varun; Shah, Rajiv Ratn (Advisor) (III-Delhi, 2023-05-10)
    In today’s world, digital-born media, especially advertisements, have a substantial influence on our daily lives, from persuading us to buy particular brands to creating awareness about a social or environmental cause. ...
  • Design of provably secure lightweight authenticated encryption schemes based on tweakable primitives 
    Hasan, Munawar; Chang, Donghoon (Advisor) (IIIT-Delhi, 2025-06)
    Tweakable primitives are advanced cryptographic constructions, primarily used to enhance the flexibility, security, and performance of cryptographic systems. In case of the tweakable primitives, in addition to the key and ...
  • Knowledge-augmented emotion detection in code-mixed mental health counseling conversations 
    Tiwari, Anusha; Kushagra; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-04-26)
    This B.Tech project endeavors to advance mental health counseling through technology by introducing the IndieMH dataset, a curated collection of code-mixed Hindi-English counseling dialogues annotated with emotion labels ...
  • Delhi v/s Beijing: pollution comparison 
    Narayan, Anupam; Pandey, Ashish Kumar (Advisor) (IIIT-Delhi, 2024-05-12)
    This Report investigates the complex dynamics of air pollution in two megacities, Delhi and Beijing, and presents a comparative analysis of their pollution mitigation strategies and outcomes. After acquiring and preprocessing ...
  • Extended reality sand table: a novel approach to world building in war games 
    Tiwari, Ambuj Bhaskar; Sharma, Deep; Tripathi, Devansh; Srivastava, Anmol (Advisor) (IIIT-Delhi, 2024-04-29)
    This paper presents an innovative approach aimed at seamlessly integrating physical and digital environments via World Building techniques employing a sand table, specifically designed for wargaming applications. By ...
  • Bridging congestion state in TCP and QUIC 
    Ambooken, Alvin Joseph; Maity, Mukulika (Advisor) (IIIT-Delhi, 2023-04-29)
    Serverless computing has emerged as a transformative field in the cloud computing world. The high energy and cost savings associated with serverless are leading to its increased prevalence.However, network communications ...
  • Voiceshield: innovative defence system against audio spoof attacks 
    Venaik, Utkarsh; Ahuja, Aditya; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2024-04-25)
    With the rise in the potential of artificial intelligence, there now is an increased risk of im-personation and deep fakes; one possibility of impersonation lies within audio, which we call“spoofing attacks”, wherein voices ...
  • Effective conversations via large language models 
    Rana, Abhit; Grover, Anuj (Advisor) (IIIT-Delhi, 2024-04-29)
    Interpersonal skills, or social skills, encompass individuals’ behaviors and abilities to engage and communicate successfully with others. These contain effective communication, attentive listening, understanding others, ...
  • Joint mapping and planning in multi robot systems 
    Yadav, Abhay Singh; Kaul, Sanjit Krishnan (Advisor); Anand, Saket (Advisor); Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2024-04-28)
    The field of Multi Agent Reinforcement Learning The field of Multi Agent RL can model and address compplex interactions among multi-decision makers in a shared environment. There is however, a need of efficient coordination ...
  • ICU Embedding (AI in Healthcare) 
    Aziz, Abdul; Zaid, Mohd; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-04-29)
    Intensive Care Units (ICUs) house vast repositories of patient data, particularly vital signs recorded as time series data, offering invaluable insights into patient health dynamics. However, the sheer volume and complexity ...
  • Human activity recognition using MEMS-based motion sensors 
    Soubam, Sonia; Naik, Vinayak [Advisor] (IIIT-Delhi, 2025-01)
    Micro-electro-mechanical systems (MEMS) are miniature devices that integrate mechanical and electrical components on a single silicon chip, often including sensors and actuators. With sizes ranging from a few micrometers ...
  • Improving content quality for online professional activities using domain specific learning and knowledge 
    Goyal, Nidhi; Kumaraguru, Ponnurangam (Advisor); Mutharaju, V. Raghava (Advisor); Sachdeva, Niharika (Advisor) (IIIT Delhi, 2024-09)
    Online professional platforms such as Indeed, LinkedIn, Naukri, Stack Overflow, and Blind serve as digital ecosystems to connect professionals, employers, and job seekers. These platforms witness online user activities, ...
  • Optimising serialisation for cloud applications 
    Nayak, Siddharth; Shah, Rinku (Advisor) (IIIT-Delhi, 2024-05-21)
    Serialisation latency is a significant concern in modern cloud applications that leverage the microservice paradigm. A cloud service request typically traverses a sequence of microservices across nodes, increasing latency ...
  • Programmable proxy for microservice communication in multi-cloud environments 
    Pathak, Shambhavi; Shah, Rinku (Advisor) (IIIT-Delhi, 2024-05-21)
    As enterprises migrate from single-cloud to multi-cloud architecture, they encounter challenges due to geographical dispersion, varying WAN characteristics, and diverse cloud policies. These challenges demand a re-evaluation ...
  • Skeleton-based interactive object co-part segmentation 
    Bhadauriya, Harsh Vardhan; Jerripothula, Koteswar Rao (Advisor) (IIIT-Delhi, 2023-05)
    Object co-part segmentation, which involves segmenting shared objects into meaningful parts in a group of images, is a challenging joint-processing task. Although fully unsupervised deep learning algorithms exist for this ...
  • Incongruence identification in eyewitness narratives 
    Nair, Akshara; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-07)
    Eyewitness accounts are crucial to legal and investigative proceedings, serving as foundational sources for reconstructing events. Agencies typically collect multiple statements to achieve a thorough understanding of the ...

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