AMLDA 2024 | International Conference on Applied Machine Learning & Data Analytics

About AMLDA 2024

AMLDA 2024 is a premier international conference in Artificial Intelligence, renowned for presenting cutting-edge research in machine learning and data analytics, along with impactful applications in healthcare, biometrics, forensics, precision agriculture, robotics, and satellite imaging.

The conference brings together researchers, industry professionals, engineers, graduate students, and postdoctoral scholars to exchange scientific and technological advances in applied machine learning and data analytics.

Publications & Proceedings

Springer CCIS – AMLDA 2023

Communications in Computer and Information Science (CCIS 1818)

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Springer CCIS – AMLDA 2022

Communications in Computer and Information Science (CCIS 1818)

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Important Dates

Firm Deadline

15 October 2024

Author Notification

5 December 2024

Camera Ready

10 November 2024

Conference Dates

20–21 December 2024

Conference Venue

Vardhaman College of Engineering

Kacharam, Shamshabad – 501 218 Hyderabad, Telangana, India

Call for Papers

AMLDA 2024 invites original, unpublished research contributions that are not currently under consideration by other conferences or journals.

Machine learning algorithms (supervised, unsupervised, reinforcement, time-series)
Deep learning models and applied intelligence
Data science: analysis and visualization
Intelligent planning and systems
NLP applications (healthcare, sentiment analysis, etc.)
Applications: healthcare, biometrics, forensics, agriculture, robotics, satellite imaging

Call for Sponsors

AMLDA 2024 invites industry sponsors to promote their organizations through talks, demonstrations, and branding opportunities.

Bronze

€350
Logo + 10 min talk

Silver

€500
Logo + 20 min talk

Gold

€750
Logo + 30 min talk + Hackathon

Workshops

2nd International Workshop on AI & Data Analytics (AIDA-2024)

The workshop focuses on the synergy between AI and data analytics for building intelligent systems capable of real-world decision making.

Machine Learning & NLP
Computer Vision & Robotics
Predictive, Prescriptive & Descriptive Analytics
Data Mining & Text Analytics

Submission Deadline

10 Oct 2024

Notification

5 Dec 2024

Workshop Date

21 Dec 2024

Publications: CEUR Workshop Proceedings

Paper Submission

All papers must be submitted electronically through Microsoft CMT.

Submit via Microsoft CMT

Keynote & Industry Speakers

Distinguished experts from academia and industry

Ogerta Elezaj

Birmingham City University, UK

Keynote Speaker

Abstract: TBD

Amit Sheth

University of South Carolina, USA

Keynote Speaker

Abstract: TBD

Prasad Yalamanchi

CEO, Lead Semantic, USA

Industry Talk

Abstract: TBD

Organizing Committee

AMLDA 2024 Conference Leadership & Coordination

Chief Patrons

T. Vijender Reddy
Chairman, Vardhaman College of Engineering, India

M. Rajasekhar Reddy
Vice Chairman, Vardhaman College of Engineering, India

T. Upender Reddy
Secretary, Vardhaman College of Engineering, India

E. Prabhakar Reddy
Treasurer, Vardhaman College of Engineering, India

Patron

JVR Ravindra
Principal, Vardhaman College of Engineering, India

General Chairs

M. A. Jabbar
Vardhaman College of Engineering, India

Fernando Ortiz Rodriguez
Universidad Autonoma de Tamaulipas, Mexico

Sanju Tiwari
Universidad Autonoma de Tamaulipas, Mexico

Fidel Jiomekong
University of Yaounde, Cameroon

Program Chairs

Tasneem Bano
MJCET, Hyderabad, India

Sven Groppe
Universität zu Lübeck, Germany

Shishir Kumar Shandilya
VIT Bhopal University, India

José Melchor Medina-Quintero
UAT, Mexico

Andries Engelbrecht
University of Stellenbosch, South Africa

Publicity Chairs

P Sivakumara
University of Malaya, Malaysia

Vania V. Estrela
UFF, Brazil

Patience Usoro Usip
University of Uyo, Nigeria

Workshop Chairs

Yusniel Hidalgo Delgado
UCI, Cuba

Shikha Mehta
JIIT Noida, India

C. A. Dhawale
PR Pote Patil College, India

Special Session Chairs

Tanima Datta
IIT BHU, India

David Hicks
Texas A&M University, USA

Antonio De Nicola
ENEA, Italy

Patrice Boursier
International Medical University, Malaysia

Tutorial Chairs

Hari Prabhat Gupta
IIT BHU, India

Ayush Goyal
Texas A&M University, USA

Steering Committee

Andries Engelbrecht
University of Stellenbosch, South Africa

Patrick Siarry
University of Paris-Est Créteil, France

Ketan Kotecha
Symbiosis Institute of Technology, India

Ralf Möller
Universität zu Lübeck, Germany

Technical Program Committee

International experts supporting the peer-review and technical evaluation process of AMLDA 2024

Abdallah Meraoumia
Larbi Tebessi University of Tebessa, Algeria

Abdulkadir Sengur
Firat University, Turkey

Abeer Alsadoon
Charles Sturt University, Australia

Ahmed Al-Durra
Khalifa University of Science & Technology, UAE

Ajita Rattani
Wichita State University, USA

Amirrudin Kamsin
University of Malaya, Malaysia

Ana Maria Madureira
Polytechnic of Porto, Portugal

Anna Bosman
Stellenbosch University, South Africa

Antonio López-Martín
Public University of Navarra, Spain

Antonio De Nicola
ENEA, Italy

Aswani Kumar Cherukuri
VIT, India

Ayush Goyal
Texas A&M University–Kingsville, USA

Beatrice Ombuki-Berman
Brock University, Canada

Bharath Kumar Samanthula
Montclair State University, USA

Bhekisipho Twala
Tshwane University of Technology, South Africa

Bin Wang
University of South Alabama, USA

Bozenna Pasik Duncan
University of Kansas, USA

David Hicks
Texas A&M University–Kingsville, USA

Emmanuel Dufourq
Stellenbosch University, South Africa

Evangelos E. Milios
Dalhousie University, Canada

Fernando Ortiz Rodriguez
Universidad Autonoma de Tamaulipas, Mexico

Geoff Nitschke
University of Cape Town, South Africa

M. A. Jabbar
Vardhaman College of Engineering, India

Patrick Siarry
University of Paris-Est Créteil, France

Sven Groppe
University of Lübeck, Germany

Tasneem Bano
Sage University, Bhopal, India

Zuzana Oplatkova
Tomas Bata University, Czech Republic

Technical Sponsors

Our valued technical partners supporting AMLDA 2024

Contact

Email: amafatima.zahra@gmail.com