Bio News Research

Divyagna Bavikadi

dbavikad at asu dot edu

I'm a PhD student at Arizona State University, advised by Dr.Paulo Shakarian at ASU. I am interested in generating and reasoning about an agent's behaviour in a spatio-temporal setting with constraints. My long-term research goal is to develop neurosymbolic approaches that enables and transforms reasoning and learning capabilities. My research is supported by ONR, IARPA and DARPA. I've also collaborated with EpochGeo, Leidos.

Prior to starting my PhD, I completed Integrated Masters of Technology in Information Communication Technology at the School of Engineering, Central University of Karnataka , with 2 gold medals. I worked as a research assitant at Lab1055,IITH as a part of Prof.Vineeth N Balasubramanian's research group on pose correction. Also, I worked on a research project in medical imaging to build a brain atlas under Prof.Jayanthi Sivaswamy at IIITH.

I completed my Bachelors in Electronics and Communications Enginnering, with a gold medal. I pursued my research in Speech Emotion Recognition, advised by Prof.Dr.Anil Kumar at IIIT Hyderabad. I was fortunate enough to intern at Bharat Sanchar Nigam Limited (BSNL: a prestigious telecommunications service in India), Advanced Training Institute for Electronics and Process Instrumentation (ATI-EPI: of Gov. of India), and Develearn technologies as a data science research intern.

I like science fiction, travelling, origami, making art, badminton, chess, constructive debates.

Keywords: Neurosymbolic AI, Explainable AI, Logic in Computer Science, Machine Learning for Speech, Vision, Bio.

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asu

Arizona State University

2022 - Present

 iith

Indian Institute of Technology Hyderabad

2021 - 2022

 iiith

International Institute of Information Technology Hyderabad

2021 - 2022

 cuk

Central University of Karnataka

2017-2022

EpochGeo

EpochGeo

2023 - Present

Leidos

Leidos

2023 - 2024

 varianceai

Variance AI

2021 - 2022

 develearn

Develearn

2021
News
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  • May '24 → Been an external reviewer for AAAI '25.
  • Dec '24 → Paper on Maritime Abduction for Region Generation got accepted at AAMAS '25.
  • Oct '24 → Presented Geospatial Trajectory Generation at ICLP '24.
  • May '24 → Been an external reviewer for KR '24.
  • August '22 → Started my PhD in computer Engineering at ASU, advised by Dr.Paulo Shakarian.
  • August '22 → Awarded the Fulton Fellowship Award.
  • May '22 → Awarded Prof. M.A. Pathan Gold Medal for academic excellence at CUK.
  • May '22 → Graduated from CUK, with a Master's degree in Information Communication Technology with two gold medals.
  • April '22 → Extended Abstract on Explainable Human Pose Correction got accepted to XAI4CV CVPR 2022.
  • April '22 → Presented paper on Explainable Human Pose Correction at CVsports CVPR 2022.
  • Feb '22 → Started working as a teaching assistant for the course Deep Learning for Computer Vision offered by IITH.
  • Nov '21 → Presented a paper on Real-Time Face Recognition for Organisational Attendance Systems at RTIP2R 2021.
  • Sept '21 → Started working as a Research Assistant at IITH.
  • Aug '21 → Started working as a Research Intern at IIITH.
  • May '21 → Graduated from School of Engineering, CUK, with a Bachelor's degree in ECE with a gold medal.
Research

Under Review Sea-cret Agents: Maritime Abduction for Region Generation to Expose Dark Vessel Trajectories
Keywords: Trajectory Analysis/Forecasting, Agentic Behaviour Modelling, Transformers, Generative AI.
Funded by ONR; In collaboration with EpochGeo.

Paper

Trajectory Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification
Keywords: Trajectory Classification, Self Correction in Machine Learning, Rule Learning.
Funded by ONR and IARPA.

Paper Code

Trajectory Geospatial Trajectory Generation
Keywords: Abductive Reasoning, Wxplainable Generative AI, Real-World Deployment.
Funded by ONR and IARPA; In collaboration with Leidos, EpochGeo, Universidad Nacional del Sur.

Paper Slides Video

Biomarkers Biomarker Selection
Keywords: Causality with ML, Diesease Detection, Biomarker Discovery.
Lab v2, in collaboration BioDesign ASU

Paper

3DSP Pose Tutor: An Explainable System for Pose Correction in the Wild
Keywords: Pose Recognition+Correction, Explainable AI, Computer Vision.
Lab 1055, IITH in colaboration with Variance AI
Contributed to dataset compilation and problem formulation of extended work Counterfactual-based Algorithmic Recourse for Explainable Pose Correction.

Paper

3DSP Real-Time Face Recognition for Organisational Attendance Web+Mobile App[Facemap]
Keywords: Face recognition, Deep CNN, Computer Vision, Fine-tuning.
Develearn Technologies, Mumbai

Paper


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