[][][] Research & Opportunities | Prof. Aruna Tiwari – IIT Indore
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Prof. Aruna Tiwari · IIT Indore

Research & Opportunities

Research interests, PhD topics, and open positions in the lab

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Research Interests

Formal research interests for the laboratory, organised by core themes and application domains.

  • Artificial Intelligence / Machine Learning / Big Data Analytics
  • Generative AI (GANs, Diffusion Models for video anomaly detection & plant phenotyping)
  • Soft Computing Techniques
  • Data Mining

More Specifically

  1. Agricultural plant leaf disease detection and classification using deep learning.
  2. Ensemble learning of classifiers.
  3. Improvement in clustering algorithms.
  4. Multimodal optimisation using differential evolution and its applications.
  5. Design of semi-supervised neuro-fuzzy systems.
  6. Optimisation of soft computing frameworks.
  7. Cybersecurity using machine learning algorithms.
  8. Binary neural network learning with quantum processing.

Specialisation Fields

  1. Soft computing with innovations in Big Data handling — neural network learning algorithms, genetic programming, support vector machines, fuzzy sets, and rough sets.
  2. Deep learning architectures, especially generative adversarial networks (GANs) and Diffusion Models.
  3. AI and ML algorithms for classification, clustering, prediction, and data mining.

Research Keywords

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Computational Intelligence

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Machine Learning

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Generative AI

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GAN

💨

Diffusion Models

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Big Data

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Genomics

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Precision Agriculture

⚠️

Anomaly Detection

Research Topics for PhD Candidates

The following formal research titles are available for prospective doctoral candidates under the supervision of Prof. Aruna Tiwari.

  • Deep Neural Networks for Big Data handling.
  • Evolutionary Computations for optimisation in learning processes.
  • Neuro-Fuzzy classifiers for high dimensional data.
  • Design of a Semi-Supervised Neuro-Fuzzy system.
  • Active Learning through Adaptive Heterogeneous Ensembling.
  • Hardware realisation of Neural Network learning algorithms.
  • Hardware realisation of Extreme Learning Machine based fast data descriptor with Gaussian kernel for novelty detection.
  • Design of Deep Learning algorithms based on Soft Computing models.

How to Apply for PhD

1️⃣
Check IIT Indore PhD AdmissionsVisit the official IIT Indore website for current PhD admission cycles, eligibility, and exam requirements.
2️⃣
Contact Prof. Aruna TiwariEmail artiwari@iiti.ac.in with your CV, research statement, and area of interest before applying.
3️⃣
Shortlisting & InterviewShortlisted candidates will be called for a written test and/or interview as per the IIT Indore admission process.

Fellowship & Open Positions

Prof. Aruna Tiwari's lab hosts research fellows and post-doctoral researchers working on funded projects under AgriHub and other sponsored research programmes.

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AgriHub Research Fellow PositionsResearch fellowship positions are available under the AgriHub MeitY project for candidates with expertise in AI/ML, genomics, computer vision, and IoT. Contact the PI for details.
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IITI Post-Doctoral FellowshipPost-doctoral fellowships available at IIT Indore for candidates with a strong publication record in ML, Soft Computing, or AI for Agriculture.
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Project Research Assistants (JRF/SRF)JRF/SRF positions available in ongoing funded projects. Eligibility: GATE/NET qualified candidates in Computer Science or related fields.
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PhD Admission InquiryReview available research topics above and email with your CV and statement of purpose before applying through IIT Indore admissions.
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Master's / B.Tech ProjectsIIT Indore students may email directly for thesis guidance and B.Tech project supervision opportunities.
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Industry & Government CollaborationTechnology transfer, consulting, and public-private partnership inquiries for AgriHub and AI-related projects are welcome.

Research Facilities

The Computational Intelligence & Machine Learning Lab at IIT Indore, led by Prof. Aruna Tiwari, is equipped with state-of-the-art computing infrastructure to support cutting-edge AI and genomics research.

AgriHub Technology Centre

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AI/ML-Based HPC Technology Centre – POD 1E-201(A), IIT Indore

Established under AgriHub with support from MeitY and S&T Madhya Pradesh. Houses high-performance computing infrastructure for large-scale genomic data processing, federated learning experiments, and deep learning model training. Recognised at Indore Gaurav Divas 2025.

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High-Performance GPU Clusters

NVDIA H200 GPU node (8×141GB GPUs, 2TB RAM) plus 792TB storage

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NSM – National Supercomputing Mission

Access to NSM HPC infrastructure for exascale genomic clustering research funded by DST/NSM, Param Shakti (IIT Kharagpur) and Param Siddhi (CDAC Pune)

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Agricultural Data Lab

Real-life agricultural datasets from ICAR-NSRI Indore, soybean genomic data, and crop phenotyping imagery.

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Hardware Prototyping Lab

FPGA boards and embedded systems for hardware realisation of soft computing models in collaboration with CSIR-CEERI Pilani.

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IoT & Sensor Lab

IoT sensor networks for real-time crop and soil monitoring, smart agriculture data collection infrastructure.

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UAV / Drone Facility

Drone-based aerial imaging systems for precision agriculture, crop disease mapping, and field monitoring.