6th International Conference

AMLDA 2023

International Conference on Applied Machine Learning & Data Analytics

9–10 November 2023 . Universität zu Lübeck, Germany

About AMLDA 2023

The International Conference on Applied Machine Learning and Data Analytics (AMLDA 2023) is a premier international conference in the field of Artificial Intelligence. AMLDA 2023 is renowned for presenting cutting-edge research on all aspects of machine learning, along with important application areas such as healthcare, medical imaging informatics, biometrics, forensics, precision agriculture, risk management, robotics, and satellite imaging.

The conference brings together researchers from academia and industry, engineers, graduate students, and postdoctoral scholars, providing a platform for the exchange of the most recent scientific and technological advances in applied machine learning and data analytics.

AMLDA 2023 includes keynote speeches, tutorials, workshops, poster presentations, and oral presentations. We sincerely invite authors, speakers, and listeners to participate in this prestigious international conference.

Important Dates

Submission Deadline

10 August 2023

Author Notification

10 September 2023

Camera-Ready

20 September 2023

Conference Dates

9–10 November 2023

Conference Venue

Universität zu Lübeck,Germany

Call for Papers

AMLDA 2023 serves as an interdisciplinary platform for both industry and academia to present and discuss innovations, trends, challenges, and solutions in applied machine learning and data analytics.

  • Machine learning algorithms (supervised, unsupervised, reinforcement, time-series)
  • Deep learning models and applied intelligence
  • Data science: data analysis and visualization
  • Intelligent planning and systems
  • Natural language processing and applications
  • Applications: healthcare, biometrics, forensics, agriculture, risk management, satellite imaging

Paper Submission

Authors must submit original and unpublished research work through Microsoft CMT. All submissions undergo a rigorous peer-review process and plagiarism screening.

Submit via Microsoft CMT

Three types of submissions are accepted: Regular Papers (8–15 pages), Invited Papers (8–15 pages), and Position Papers (6–8 pages). LaTeX (preferred) or Word templates following Springer CCIS guidelines are recommended.

Call for Sponsors

AMLDA 2023 invites sponsors to promote their organizations and technologies. Sponsors receive logo visibility, industry talk opportunities, and recognition during opening and closing sessions.

Bronze Sponsor

€350 · Logo + 10 min talk

Silver Sponsor

€500 · Logo + 20 min talk

Gold Sponsor

€750 · Logo + 30 min talk + Hackathon

Workshops

1st International Workshop on Artificial Intelligence and Data Analytics (AIDA-2023)

The workshop focuses on the strong interdependence between AI and data analytics, enabling intelligent systems that analyze data, make predictions, and solve real-world problems across domains.

Keynote Speakers

Ketan Kotecha
Ketan Kotecha

Symbiosis Institute of Technology, India

Abstract: TBD

Ralf Möller
Ralf Möller

Universität zu Lübeck, Germany

Abstract: TBD

Organizing Committee

AMLDA 2023 Conference Leadership

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
Sven Groppe
Universität zu Lübeck, Germany
Program Chairs
Tasneem Bano
SAGE University, Bhopal, India
Millie Pant
IIT Roorkee, India
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
Universidade Federal Fluminense, Brazil
Patience Usoro Usip
University of Uyo, Nigeria
Workshop Chairs
Yusniel Hidalgo Delgado
Universidad de las Ciencias Informáticas, Cuba
Shikha Mehta
JIIT Noida, India
C. A. Dhawale
PR Pote Patil College of Engineering, India
Special Session Chairs
Tanima Datta
IIT BHU, India
David Hicks
Texas A&M University–Kingsville, 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–Kingsville, USA

Steering Committee

Andries Engelbrecht
University of Stellenbosch, South Africa
Patrick Siarry
University of Paris-Est Créteil, France
Ketan Kotecha
Symbiosis Institute of Technology, Pune, India
Ralf Möller
Universität zu Lübeck, Germany

Technical Program Committee

International experts supporting the peer-review and technical evaluation process of AMLDA 2023

M. A. Jabbar
Vardhaman College of Engineering, India
Fernando Ortiz-Rodriguez
Universidad Autonoma de Tamaulipas, Mexico
Sanju Tiwari
Universidad Autonoma de Tamaulipas, Mexico
Patrick Siarry
University of Paris-Est Créteil, France
Guzhan Menemencioglu
Karabuk University, Turkey
Ignacio Raul
Public University of Navarra, Spain
Antonio López-Martín
Public University of Navarra, Spain
José Javier Astráin-Escola
Public University of Navarra, Spain
Rajab Challoo
Texas A&M University–Kingsville, USA
Moufida Maimour
Université de Lorraine, France
Iman El Mir
Hassan 1st University, Morocco
Mohamed Nabil
Hassan 1st University, Morocco
Ifiok Udo
University of Uyo, Nigeria
Sven Groppe
University of Lübeck, Germany
Meriem Djezzar
Mentouri University of Constantine, Algeria
Antonio De Nicola
ENEA, Italy
David Hicks
Texas A&M University–Kingsville, USA
Mohammad Alnassar
Universiti Kebangsaan Malaysia, Malaysia
Petko Rutesic
DHBW, Germany
Imed Ben Dhaou
University of Turku, Finland
Nandana Mihindukulasooriya
IBM Research AI, Ireland
Hemam Mounir
Khenchela University, Algeria
Sydney Kasongo
Stellenbosch University, South Africa
Emmanuel Dufourq
Stellenbosch University, South Africa
Jacomine Grobler
Stellenbosch University, South Africa
Stephan Nel
Stellenbosch University, South Africa
Anna Bosman
Stellenbosch University, South Africa
Marde Helbig
Griffith University, Australia
Kyle Harrison
University of New South Wales, Australia
Bhekisipho Twala
Tshwane University of Technology, South Africa
Beatrice Ombuki-Berman
Brock University, Canada
Zuzana Oplatkova
Tomas Bata University, Czech Republic
Jan Platos
University of Ostrava, Czech Republic
Terrance van Zyl
University of Johannesburg, South Africa
Geoff Nitschke
University of Cape Town, South Africa
Tasneem Bano
Sage University, Bhopal, India
Abdallah Meraoumia
University of Tebessa, Algeria
Abdulkadir Sengur
Firat University, Turkey
Abeer Alsadoon
Charles Sturt University, Australia
Ahmed Al-Durra
Khalifa University, UAE
Ajita Rattani
Wichita State University, USA
Amirrudin Kamsin
University of Malaya, Malaysia
Ana Maria Madureira
Polytechnic of Porto, Portugal
Aswani Kumar Cherukuri
VIT, India
Ayush Goyal
Texas A&M University–Kingsville, USA
Bharath Kumar Samanthula
Montclair State University, USA
Bin Wang
University of South Alabama, USA
Bozenna Pasik Duncan
University of Kansas, USA
Dmitriy Klyushin
Taras Shevchenko National University of Kyiv, Ukraine
Evangelos E. Milios
Dalhousie University, Canada
Gloria Cerasela Crisan
Vasile Alecsandri University, Romania
H. Saparudin
University Sriwijaya, Indonesia
Halyna Vasyalevska
West Ukrainian National University, Ukraine
J.V.R Ravindra
Vardhaman College of Engineering, India
Luis Ramos
TIB, Hannover, Germany
Luigi Troiano
University of Salerno, Italy
M. Affan Badar
Indiana State University, USA
Mahdi Fathi
University of North Texas, USA
Mohamed-Rafik Bouguelia
Halmstad University, Sweden
Mamun Bin Ibne Reaz
Universiti Kebangsaan Malaysia, Malaysia
Mufti Mahmud
Nottingham Trent University, UK
Nandana Mihindukulasooriya
IBM, USA
N. Subba Reddy
Gyeongsang National University, South Korea
Onur Dogan
Izmir Bakircay University, Turkey
Qusay H. Mahmoud
University of Ontario, Canada
R. Balasubramani
NMAM Institute of Technology, India
Raja Sarath Kumar Boddu
Lenora College of Engineering, India
Roshan G. Ragel
University of Peradeniya, Sri Lanka
Salman Abdul Moiz
University of Hyderabad, India
Sarra Ben Abbes
Engie, France
Sanjeev Kumar Padmanabhan
Aarhus University, Denmark
Shankru Guggari
Query Data Systems, India
Shikha Mehta
JIIT Noida, India
Shishir Kumar Shandilya
VIT Bhopal University, India
Sumeet Dua
Louisiana Tech University, USA
Susana Hernandez
Technical University of Madrid, Spain
Udit Chawla
UEM, India
Ulrik Söderström
Umea University, Sweden
V. Lakshmana Gomathi Nayagam
NIT Trichy, India
Viswanath Pulabaigari
IIIT Sri City, India
Vitoantonio Bevilacqua
Polytechnic University of Bari, Italy
Yusniel Hidalgo Delgado
Universidad de las Ciencias Informáticas, Cuba

Technical Sponsors

Our valued technical partners supporting AMLDA 2023

Technical Sponsor 1
Technical Sponsor 2
Technical Sponsor 3
Technical Sponsor 3

Contact

Email: amafatima.zahra@gmail.com