Dr. Innocent Nyalala
AI Researcher & Assistant Professor
Innocent Nyalala

Dr. Innocent Nyalala

AI Researcher & Assistant Professor of Data Science and AI

School of Engineering and Science, IIT Madras Zanzibar

Associate Research Fellow, Wadhwani School of Data Science & AI, IIT Madras Chennai

I am passionate about leveraging Artificial Intelligence, Machine Learning, and Deep Learning to create positive real-world impact, particularly in agriculture and healthcare across East Africa. As the Principal Investigator of SAAIL Lab (Sustainable AI for Agriculture & Intelligent Livelihoods) at IIT Madras Zanzibar, I lead research developing transformative AI solutions for agriculture, precision farming, crop disease detection, healthcare AI, and medical imaging in Tanzania, Kenya, and across the African continent through ethical innovation and sustainable development.

Latest News

Recent updates, achievements, and announcements

SAAIL Lab Logo

Leading transformative AI research for East Africa through ethical innovation, sustainable development, and cutting-edge technology. Our mission is to develop AI solutions that address critical challenges in agriculture and healthcare across the African continent.

Precision Agriculture Healthcare AI Deep Learning Responsible AI Swahili NLP Blockchain
Explore SAAIL Lab

Research

Advancing AI for sustainable development and real-world impact

Featured Project

AI for Clove Quality Grading — Zanzibar, Tanzania

In collaboration with the Zanzibar State Trading Corporation (ZSTC), we develop deep learning CNN models for automated quality grading of cloves — Zanzibar's most important export spice. This work integrates computer vision with indigenous farmer knowledge to build a novel annotated Zanzibar clove dataset and AI grading pipeline that directly supports smallholder farmers and the national spice industry.

Deep Learning (CNN) Computer Vision Participatory AI Design Zanzibar · Tanzania ZSTC Partnership

Research Interests

Artificial Intelligence (AI)Computer VisionMachine Learning (ML)Deep LearningNatural Language Processing (NLP)Internet of Things (IoT)RoboticsDigital Image ProcessingEmbedded SystemsData ScienceAgricultural TechnologyHealthcare Informatics

Current Research Projects

AI for Smart Agriculture

Developing AI techniques to enhance agricultural practices, improve resource management, and promote sustainability across East Africa. Focus on crop disease detection, yield prediction, and precision farming.

Medical Imaging - Placental Analysis

Application of AI to analyze placental images for improved maternal and fetal health diagnostics and monitoring.

Swahili Speech & Text Processing

Developing NLP tools for the Swahili language, with applications in agriculture and healthcare for East African communities.

Blockchain for Spice Supply Chain

Investigating blockchain technology to improve transparency, traceability, and efficiency in Zanzibar's famous spice supply chain.

Research Collaborations

NB

Prof. Nirav Bhatt

IIT Madras Zanzibar

SS

Prof. Dr. Sunil Sazawal

CPHK / Subharti University

SB

Dr. Soumya Banerjee

University of Cambridge

VN

Dr. Vikranth H. Nagaraja

University of Oxford

Publications

Peer-reviewed research in top-tier journals and international conferences

2026
ICLR 2026

Unifying Perspectives on Learning Biases: A Data-Centric Intervention for Holistic Fairness, Robustness, and Generalization

P. Vincent Ndowo, I. Nyalala · Trustworthy AI Workshop · Rio de Janeiro, Brazil

2026
AAAI 2026

AI Sovereignty in the Global South: Power, Dependency, and Strategic Futures

S. Davies, V. Nagaraja, I. Nyalala, N. Bhatt, S. Banerjee · Workshop on Empowering Global South AI

2026
PMLR 302

Culturally Attuned and Resource-Aware Foundation Models for East African Agriculture

I. Nyalala, N. Bhatt · Deep Learning Indaba 2025 · Proceedings of Machine Learning Research

2025
ACM AFRICHI

From Art to Algorithms: Co-Designing AI for Clove Grading with Zanzibar's Indigenous Experts

P. V. Ndowo, I. Nyalala · AFRICHI ACM Conference 2025

2025
ESA · IF 7.5

BAFNet: Deep contour-aware features for colorectal polyps segmentation

D. Zhou, N. Chen, Y. Zhu, X. Zhang, I. Nyalala et al. · Expert Systems with Applications

2025
CompAg · IF 7.7

Rectifying the extremely weakened signals for cassava leaf disease detection

J. Zhang, B. Zhang, I. Nyalala, P. Mecha et al. · Computers and Electronics in Agriculture

2025
EurIPS 2025

Digital Sovereignty or Digital Serfdom? AI Strategies, Geopolitics, and the Quest for an Equitable Global South

S. Davies, V. Nagaraja, I. Nyalala et al. · Workshop on Private AI Governance

2025
DSA 2025

Prime Directives for Responsible AI for Africa: A Manifesto for Inclusive Technology

I. Nyalala et al. · Data Science Africa 2025 · Iaban University

2024
AIA · IF 8.2

A salient feature establishment tactic for cassava disease recognition

J. Zhang, B. Zhang, Z. Chen, I. Nyalala et al. · Artificial Intelligence in Agriculture

2024
Poultry Sci · IF 3.8

Online chicken carcass volume estimation using depth imaging and 3-D reconstruction

I. Nyalala, J. Zhang, Z. Chen, J. Chen, K. Chen · Poultry Science

2024
CompAg · IF 7.7

MAIANet: Signal modulation in cassava leaf disease classification

J. Zhang, B. Zhang, C. Qi, I. Nyalala et al. · Computers and Electronics in Agriculture

View Full Publications List All 30+ on Google Scholar

Conferences & Speaking

Keynotes, presentations, and academic engagements

Invite Me to Speak More on Scholar

Experience & Teaching

Academic positions, institutional affiliations, and courses taught

Current

Assistant Professor, Data Science and AI

IIT Madras Zanzibar · School of Engineering and Science · Tanzania

Oct 2024 – Present
Current

Associate Research Fellow

Wadhwani School of Data Science & AI, IIT Madras Chennai · India

May 2025 – Present
Past

Part-Time Lecturer, Computer Science

Egerton University · Kenya

Apr 2022 – Dec 2024
Past

Doctoral Researcher

Nanjing Agricultural University · China

2017 – 2023

Courses at IIT Madras Zanzibar

Active · Mar–Jul 2026 (Even Sem)

Database Management Systems

Z2004 · BS Core

Relational databases, SQL, schema design, normalization, transactions, and query optimization.

Active · Mar–Jul 2026 (Even Sem)

Big Data Lab

Z5008 · MTech Lab

Hands-on with Apache Spark, Apache Kafka, Apache Iceberg, Delta Lake, and modern large-scale data engineering tools.

Oct 2025 – Feb 2026
Z5007Programming & Data StructuresMTech Core
Feb – Jul 2025
Z5008Big Data LabMTech
Z2004Database Management SystemsBS Core
Oct 2024 – Feb 2025
Z2005Programming & Data StructuresBS Core
7
MTech Supervised
5
PhD Co-supervised
1
Graduated (2025)
2
Grants Submitted

Graduated Student

MH

Makame Mohammed Haji

MTech Graduate · July 2025

Explainable ML Models for Predicting Preterm Birth Using Metabolomics Data

IIT Madras Zanzibar · Co-supervised with Prof. Nirav Bhatt

Current MTech Students

PN

Patrick Vincent Ndowo

Deep Learning-Based Fine-Grained Quality Grading of Zanzibar Cloves Using Computer Vision

ICLR 2026 EAC STI 2026

Data Science & AI · IIT Madras Zanzibar

TM

Twamaa Hababuu Makame

Placental Weight and Volume Estimation from 2D Images Using Deep Learning for Improved Neonatal Outcome Prediction

Data Science & AI · IIT Madras Zanzibar

SV

Shivam Vyas

Face Data Privacy Preserving in Federated Learning

Data Science & AI · IIT Madras Zanzibar

KH

Khamis K. Haji

MTech Research · Mar 2026 – Present

Data Science & AI · IIT Madras Zanzibar

SG

Surabhi Gudla

MTech Research · Mar 2026 – Present

Data Science & AI · IIT Madras Zanzibar

MD

Duen Michael

Maize Disease Identification and Classification

Co-supervised · Prof. Nirav Bhatt

IIT Madras Chennai

PhD Co-supervision — 5 candidates

BC

Bidhan Chandra Bhattarai

Agentic AI Framework for Agricultural Technologies

Joint PhD — IIT Madras Zanzibar & Deakin University

SA

Saide Abdulla Mbarak

Molecular Biology

Swami Vivekanand Subharti University · 2025–Present

AS

Ali Salim Ali

Public Health and Epidemiology

SVSU · 2025–Present

IK

Ibrahim Byatike Kabole

Public Health and Epidemiology

SVSU & SUZA · 2025–Present

BB

Bihila Abdalla Bakari

Public Health and Epidemiology

SVSU · 2025–Present

Prospective Students

I am actively seeking motivated MTech and PhD students interested in AI for agriculture, healthcare AI, computer vision, or NLP. Join SAAIL Lab to work on cutting-edge research with real-world impact in East Africa.

Get in Touch

Academic Service

Peer reviewer, editorial board member, and committee contributor

30+
Peer Reviews
19
Journals Reviewed
1
Editorial Board
1
Best Poster Award
3
Committees (IITMZ)
Award

Best Poster Award — Deep Learning Indaba 2025

Awarded the Best Poster (Publication & Dataset Category) at Deep Learning Indaba 2025 in Kigali, Rwanda for the CARA-FMs framework — a context-aware and responsible AI approach for East African agriculture. The work also received an oral presentation slot at the Responsible AI Workshop, placing SAAIL Lab's research at the centre of Africa's leading ML conference.

Kigali, Rwanda August 2025 Responsible AI East African Agriculture

Peer Reviewer · 19 Journals

  • Artificial Intelligence in Agriculture (IF 8.2)
  • Computers and Electronics in Agriculture (IF 7.7)
  • Biosystems Engineering (IF 4.4)
  • Journal of Food Engineering (IF 5.3)
  • Scientific Reports · Nutrire (Springer Nature)
  • Electronics · Sensors · Entropy · AgriEngineering (MDPI)
  • Drying Technology · Poultry Science · Smart Ag Tech
  • + 6 more journals (Elsevier / Taylor & Francis / CIGR)

Editorial Board

  • Discover Artificial Intelligence
    Springer Nature Open Access
    Responsible AI · ML · Computer Vision
    Appointed Dec 2025 – Present

Institutional Service

  • In-Charge, Computing Resources — IITMZ (Feb 2025)
  • MTech Project Committee — IITMZ (Nov 2024)
  • Faculty Recruitment Committee — IITMZ (Nov 2024)
  • Former HoD, Computer Science — EAU (2017)
  • Former Senate Member — EAU (2017)

Contact

Let's connect and collaborate

Phone (Tanzania)

+255 753 864 855

Phone (Kenya)

+254 791 349 216

Office Address

School of Engineering and Science
IIT Madras Zanzibar Campus
Office 105, Door F6
P.O. Box 394, Zanzibar 71101, Tanzania

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