MBSE Strategic Action Plan · 2026–2029

Centre for Data Sciences & Machine Learning

Centurion University of Technology and Management — Building an AI ecosystem that is impactful, inclusive, and internationally recognised.

5
SMART Goals
8
Faculty Researchers
48+
Target Publications
₹2Cr+
Target Funding
10K+
Beneficiaries
15
Product Ideas
MBSE Framework

Model-Based Systems Engineering for Strategic Planning

A rigorous, iterative engineering approach applied to CDSML's strategic vision — from requirements elicitation to verification.

01

Requirements

SMART Goals & Stakeholder Needs — defining what success looks like for CDSML.

02

Architecture

System Structure & Faculty Roles — mapping people, expertise, and responsibilities.

03

Design

Product Ideas & Logframes — translating goals into concrete deliverables and timelines.

04

Verification

KPIs, Reviews & Impact Metrics — measuring and refining through continuous feedback loops.

SG1 · Publications
SG2 · Funding
SG3 · Community Engagement
SG4 · Talent Pipeline & PhD
SG5 · Events & Outreach
Centre at a Glance

CUTM · CDSML by the Numbers

8
Faculty Researchers
5
SMART Goals
48+
Target Publications (16/Year)
₹2Cr+
Target Funding (₹70L/Year)
10K+
Community Beneficiaries
15
Product Ideas
Research Domains
🏥 Healthcare AI & Biomedical ML
🌾 Agricultural Analytics & Precision Farming
🤖 Generative AI, LLMs & NLP
👁 Computer Vision & Image Processing
📈 Financial ML & Stock Forecasting
☁ Data Engineering & Cloud Deployment
MBSE · Requirements Elicitation Phase

Gap Analysis

Benchmarking CDSML against global leaders to identify where focused investment and strategic action are needed most.

Dimension Current Gap Global Benchmark
Publication QualityLimited Q1/Q2 outputMIT CSAIL, IISc — NeurIPS, JMLR
External FundingMinimal grants pipelineGlobal peers: $1M–$50M/year
Responsible AINo ethics framework yetAlan Turing Institute, Oxford OII
Industry LinkagesAd hoc industry tiesStanford HAI, IIT Bombay
International CollaborationPrimarily domestic scope40%+ co-authored globally
Community AI ImpactLimited rural deploymentsMIT Media Lab rural AI
Open DatasetsNo public benchmarksGoogle Brain, DeepMind OSS
Product PipelineNascent incubationStanford/IIT spinoffs
MBSE Architecture View

Faculty Profiles

Eight dedicated researchers, each mapped to strategic goals and driving CDSML's research agenda forward. Replace the placeholder avatars by adding an img tag inside .faculty-photo-wrap with your photo URL.

Dr. Satyabrata Lenka
SL
Coordinator

Dr. Satyabrata Lenka

Joint Coordinator · CDSML
Generative AI · Large Language Models · Healthcare AI
Research Interests
Generative AI LLMs & Prompt Engineering Clinical Decision Support AI Ethics Federated Learning
Ph.D. (Computer Science) · M.Tech (AI/ML)
SG1SG2SG4
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Mr. R. Lakshmana Rao
RL
Workshop Lead

Mr. R. Lakshmana Rao

Assistant Professor
Agentic AI · Workshop Design · Conference Management
Research Interests
Agentic AI Systems Autonomous Agents AI Curriculum Design Reinforcement Learning
M.Tech (Computer Science) · Pursuing Ph.D.
SG1SG2SG5
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Ms. Anuradha Patnala
AP
Agri-ML Cluster

Ms. Anuradha Patnala

Assistant Professor
Agricultural Analytics · Precision Farming · Community AI
Research Interests
Precision Agriculture Crop Disease Detection IoT + ML Systems Rural AI Deployment Remote Sensing
M.Tech (Data Science) · Pursuing Ph.D.
SG1SG2SG3
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Mr. Shaik A. Rehman
SR
Vision Cluster

Mr. Shaik A. Rehman

Assistant Professor
Deep Learning · Computer Vision · Image Analysis
Research Interests
Convolutional Neural Networks Medical Imaging Object Detection Transfer Learning Image Segmentation
M.Tech (ECE / AI) · Pursuing Ph.D.
SG3SG5
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Mr. Balaram Sahoo
BS
Healthcare Cluster

Mr. Balaram Sahoo

Assistant Professor
Data Engineering · Cancer Detection · Cloud ML
Research Interests
Skin Cancer AI Detection Data Pipelines & ETL Cloud-Native ML Explainable AI (XAI) Clinical Data Wrangling
M.Tech (CSE) · Pursuing Ph.D.
SG2SG4
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Ms. Ashiya Begum
AB
Biomedical AI

Ms. Ashiya Begum

Assistant Professor
Biomedical ML · Responsible AI · Health Equity
Research Interests
Biomedical Signal Processing Fairness in AI Disease Prediction Models Community Health AI NLP for Clinical Text
M.Tech (Biomedical Engg.) · Pursuing Ph.D.
SG3SG5
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Ms. Sanjana Dhal
SD
NLP Cluster

Ms. Sanjana Dhal

Assistant Professor
LLMs · NLP · Drone AI · Hardware-Software Co-design
Research Interests
Large Language Models Natural Language Processing Drone Crop Monitoring Edge AI & Embedded ML Multi-modal AI
M.Tech (CS / NLP Track) · Pursuing Ph.D.
SG4SG5
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Mr. Ravi Vemuganti
RV
FinTech Cluster

Mr. Ravi Vemuganti

Assistant Professor
Financial ML · Stock Forecasting · Product Incubation
Research Interests
Time-Series Forecasting Algorithmic Trading AI Sentiment Analysis Risk Modelling AI Product Strategy
MBA (Finance) · M.Tech (Data Science) · Pursuing Ph.D.
SG1SG5
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MBSE Design View

SMART Goals 2026–2029

Five measurable, time-bound goals anchoring the entire CDSML strategic plan — each with defined KPIs and deliverable products.

1

Research Excellence & Publications

KPI: 48+ publications (16/year) · 20% Q1/Q2 journals · 4 Google Scholar profiles
  • Establish 3 inter-disciplinary research clusters: Healthcare AI, Agri-ML, FinTech/NLP
  • Target high-impact venues: NeurIPS, IJCAI, IEEE Transactions
  • Launch 2 open-source datasets per year as CDSML benchmarks
  • Activate international co-authorship with 3+ global institutions

Key Products

CDSML Open Datasets Glaucoma AI Platform Research Portal
2

External Funding & Industry Partnerships

KPI: ₹2Cr+ total (₹70L/year) · 3 industry MoUs · DST, SERB, ICMR grants
  • Submit 3 government grant proposals in Year 1 (DST · SERB · ICMR)
  • Sign 3 industry MoUs with healthcare/agri/fintech companies
  • Activate product incubation track with CUTM TBI
  • Apply for DST-FIST equipment grants in Year 2

Key Products

Grant Proposal Toolkit Industry MoU Templates Incubation Track
3

Community Engagement & Social Impact

KPI: 10,000+ beneficiaries · 3 district pilots · 5 NGO/Government partnerships
  • Deploy AI tools for district health & agriculture bodies
  • Launch farmer AI advisory mobile app in 3 blocks
  • Run 6 community data-literacy workshops per year
  • Partner with Odisha government for school AI outreach

Key Products

Farmer AI App Rural Health Screener School AI Kit
4

Talent Pipeline & PhD Ecosystem

KPI: 6 Ph.D. enrolments · 4 completions · 30 PG dissertations · 80% placement
  • Enrol 2 Ph.D. scholars per year across 3 focus clusters
  • Launch CDSML Graduate Fellowship with seed funding
  • Build structured mentoring programme pairing faculty with students
  • Create industry internship pipeline with 5+ partner companies

Key Products

PhD Fellowship Scheme Mentoring Platform Placement Tracker
5

Events, Visibility & Outreach

KPI: 1 international conference · 4 workshops/year · 500+ participants annually
  • Host CUTM-CDSML Annual AI Symposium from Year 2
  • Run 4 hands-on ML bootcamps per year for students & industry
  • Publish CDSML Annual Research Digest (open access)
  • Establish Responsible AI sub-centre and ethics board by Year 2

Key Products

AI Symposium Brand Annual Research Digest RAI Ethics Board
MBSE Verification View

Phased Roadmap 2026–2029

A year-by-year execution plan across all five strategic goals — from infrastructure setup to global recognition.

Goal / Area Year 12026–27 · Foundation Year 22027–28 · Growth Year 32028–29 · Excellence
SG1 · Publications Form 3 clusters; 10 publications; 2 datasets 18 publications; Q1/Q2 push; 2 international co-authors 20+ publications; NeurIPS/IJCAI target; 4 Scholar profiles
SG2 · Funding Submit 3 govt grants; 1 industry MoU ₹70L secured; 2 more MoUs; DST-FIST application ₹2Cr+ cumulative; product incubation active
SG3 · Community 1 district pilot; 3 workshops; 1 NGO MoU 2 more pilots; Farmer App v1; 5,000 beneficiaries 10,000+ beneficiaries; 3 districts; 5 partnerships
SG4 · Talent 2 PhD enrolments; 10 PG dissertations; fellowship design 2 more PhDs; 20 PG; first internship batch 6 PhDs enrolled; 4 near completion; 80% placement
SG5 · Events 2 bootcamps; 1 seminar series; CDSML website AI Symposium Year 1; 4 workshops; Research Digest v1 International conference; RAI Ethics Board; 500+ participants
MBSE Design View · Deliverables

15 Product Ideas

Concrete tools, platforms, and applications mapped to each strategic goal — the tangible outputs of CDSML's 2026–2029 plan.

SG1
CDSML Open Benchmark Datasets (Glaucoma, Crop Disease, Stock)
SG1
Research Collaboration Portal (faculty profiles + project registry)
SG1
Glaucoma AI Screening Platform (retinal fundus analysis)
SG1
Responsible AI Evaluation Toolkit (bias, fairness, XAI)
SG2
Grant Proposal Management System
SG2
Industry Partnership Dashboard
SG2
CDSML Product Incubation Track (TBI integration)
SG3
Farmer AI Advisory App (crop yield, pest alert, weather ML)
SG3
Rural Health AI Screener (TB, anaemia, malnutrition detection)
SG3
School AI Literacy Kit (age-appropriate ML curriculum)
SG4
CDSML Graduate Fellowship Scheme Portal
SG4
PhD & PG Mentoring & Progress Tracker
SG4
Industry Internship Placement Board
SG5
CUTM-CDSML Annual AI Symposium Brand & Website
SG5
CDSML Annual Research Digest (open-access journal)
Risk & Governance

Risk Register & Governance Structure

RiskLevelMitigation
Faculty attritionHighIncentive structure, research time protection
Funding delaysHighDiversify: DST, SERB, ICMR, industry
GPU/compute shortageMedCloud credits (AWS/GCP) + DST-FIST
Publication quality gapMedWriting retreats, reviewer mentoring
Community adoption frictionMedLocal language UI, NGO partnerships
Ethical/regulatory riskV.HighRAI Ethics Board; IRB protocols
PhD drop-outsLowStructured mentoring + fellowship stipends
International collab. gapsLowSPARC scheme, visiting faculty

Governance Structure

Strategic Oversight
University Leadership · Dean of Engineering
↓
Joint Coordinator
Dr. Satyabrata Lenka
↓
Cluster Leads
Healthcare AI · Agri-ML · FinTech/NLP
↓
Review Cycle
Quarterly internal · Annual external board
Research Output · CDSML

Publications Under the Research Centre

Peer-reviewed journal articles, IEEE & Springer conference papers, book chapters, and preprints by Dr. Satyabrata Lenka, Joint Coordinator — Centre for Data Sciences & Machine Learning, CUTM.

14+
Total Publications
IEEE · Springer
Top Venues
2021–25
Active Years
Medical AI
Core Domain
2025 · Journal Article
Retinal Fundus Image Enhancement Using an Ensemble Framework for Accurate Glaucoma Detection
Neural Computing and Applications, Vol. 37(25), pp. 20499–20517 · Springer · DOI: 10.1007/s00521-025-11350-8
Satyabrata Lenka, Zefree Lazarus Mayaluri, Ganapati Panda
SCI Journal · Springer
2025 · Journal Article
Glaucoma Detection from Retinal Fundus Images Using Graph Convolution Based Multi-task Model
e-Prime — Advances in Electrical Engineering, Electronics and Energy · Elsevier · 2025
Satyabrata Lenka, Zefree Lazarus Mayaluri, Ganapati Panda
Journal · Elsevier
2025 · Journal Article
Genre Preferences Based Personalized Video Recommendations for Children Using Graph Neural Network
SN Computer Science, Vol. 6 · Springer Nature · DOI: 10.1007/s42979-024-03644-0 · January 2025
Lucky Harichandan, Sasmita Kumari Nayak, Satyabrata Lenka
Journal · Springer Nature
2025 · Book Chapter
Vision Transformer Based Model for Multiclass Glaucoma Classification
Proceedings of ICGCPA 2024 · Studies in Smart Technologies · Springer, Singapore · DOI: 10.1007/978-981-97-9132-3_20
Satyabrata Lenka, Ashish Kumar Rout, Arun Kumar, Yogendra Raj Sahay, Mayaluri Zefree Lazarus
Book Chapter · Springer
2025 · Review Article
A Comprehensive Review on Video Recommendation System: Models, Challenges, and Applications
Journal Article · June 2025
Lucky Harichandan, Sasmita Kumari Nayak, Satyabrata Lenka
Review Article
2024 · IEEE Conference
Empowering Children's Learning: A Personalized Video Recommendation Using Graph Convolution
2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES 2024), pp. 1–6 · IEEE · December 2024
Lucky Harichandan, Sasmita Kumari Nayak, Satyabrata Lenka
IEEE Conference
2024 · Journal Article
Advancing Context-Aware Recommender Systems: A Deep Context-Based Factorization Machines Approach
Journal Article · ResearchGate · 2024
Satyabrata Lenka et al.
Journal
2023 · Journal Article
Hybrid Glaucoma Detection Model Based on Reflection Components Separation from Retinal Fundus Images
EAI Endorsed Transactions on Pervasive Health and Technology, Vol. 9(1) · DOI: 10.4108/eetpht.9.3191 · July 2023
Zefree Lazarus Mayaluri, Satyabrata Lenka
Journal · EAI
2023 · Preprint / TechRxiv
Glaucoma Detection from Retinal Fundus Images Using Graph Convolution Based Multi-task Model
TechRxiv · DOI: 10.36227/techrxiv.23561070.v1 · June 2023 (later published in e-Prime, 2025)
Satyabrata Lenka, Zefree Lazarus Mayaluri, Ganapati Panda
Preprint · TechRxiv
2023 · Book Chapter
An Ensemble Framework for Glaucoma Classification Using Fundus Images
Soft Computing: Theories and Applications — Proceedings of SoCTA 2022 · Springer, Singapore, pp. 573–588 · April 2023
Achirangshu Patra, Arijit Nandi, Zefree Lazarus Mayaluri, Satyabrata Lenka
Book Chapter · Springer
2022 · IEEE Conference
Optic Disc Segmentation Using Nonconvex Rank Approximation from Retinal Fundus Images
2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC 2022) · IEEE, pp. 1–6 · December 2022
Satyabrata Lenka, Zefree Lazarus Mayaluri
IEEE Conference
2022 · Conference Paper
Histopathology Image Segmentation Using MobileNetV2 Based U-Net Model
Conference Paper · ResearchGate · August 2022
Satyabrata Lenka, Zefree Lazarus Mayaluri, Ganapati Panda, Soumya Ranjan Nayak
Conference Paper
2021 · Journal
Implementation and Evaluation of Movie Recommender Systems Using Collaborative Filtering
Published 2021 · ResearchGate
Satyabrata Lenka et al.
Journal
2023 · Conference Paper
Glaucoma Detection Based on Specularity Removal Low Rank Model from Retinal Fundus Images
Conference Paper · 2023
Satyabrata Lenka, Zefree Lazarus Mayaluri, S. R. Behera
Conference Paper
🎓 View Full Profile on Google Scholar — Dr. Satyabrata Lenka
Call to Action

CUTM · CDSML · 2026–2029

Institutional commitments required to fulfil this vision

01
Protect faculty research time and fund seed grants for cluster formation
02
Invest in GPU infrastructure and cloud computing credits
03
Sign 3 industry MoUs and activate the product incubation track
04
Submit 3 government grant proposals in Year 1 — DST · SERB · ICMR
05
Partner with district health & agriculture bodies for community pilots
06
Establish the Responsible AI sub-centre and ethics board by Year 2
"Together, let us build an AI ecosystem that is impactful, inclusive, and internationally recognised."