Dr. Abdelaziz Daoudi | Image Processing | Best Researcher Award

Dr. Abdelaziz Daoudi | Image Processing | Best Researcher Award

Doctorate at Tahri Mohammed university, Algeria

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Publications

Enhancing Brain Segmentation in MRI through Integration of Hidden Markov Random Field Model and Whale Optimization Algorithm

  • Authors: Abdelaziz Daoudi, SaĂŻd Mahmoudi
    Journal: Computers
    Year: 2024

Benchmark for algorithms segmenting the left atrium from 3D CT and MRI datasets

  • Authors: Catalina Tobon-Gomez, Arjan J Geers, Jochen Peters, JĂĽrgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Jan Margeta, Zulma Sandoval, Birgit Stender, Yefeng Zheng, Maria A Zuluaga, Julian Betancur, Nicholas Ayache, Mohammed Amine Chikh, Jean-Louis Dillenseger, B Michael Kelm, SaĂŻd Mahmoudi, SĂ©bastien Ourselin, Alexander Schlaefer, Tobias Schaeffter, Reza Razavi, Kawal S Rhode
    Journal: IEEE transactions on medical imaging
    Year: 2015

Prof Dr. Oliver Steinbock | Image Processing and Enhancement | Best Researcher Award

Publications

Understanding the Salt Crystallizations from Droplets under Various Gravity and Pressure Environments: Display of the Marangoni Effect?

  • Authors: Hadidi, R.; Pinckney, V.D.; Shaw, S.A.; Steinbock, O.; Dangi, B.B.
    Journal: Journal of Physical Chemistry B
    Year: 2025

High-throughput robotic collection, imaging, and machine learning analysis of salt patterns: composition and concentration from dried droplet photos

  • Authors: Batista, B.C.; Amrutha, S.V.; Yan, J.; Dangi, B.B.; Steinbock, O.
    Journal: Digital Discovery
    Year: 2025

Wavebreakers in excitable systems and possible applications for corrosion mitigation

  • Authors: Batista, B.C.; Romanovskaia, E.V.; Romanovski, V.I.; Kiss, I.Z.; Steinbock, O.
    Journal: Chaos
    Year: 2025

Morphogenic Modeling of Corrosion Reveals Complex Effects of Intermetallic Particles

  • Authors: Batista, B.C.; Romanovskaia, E.V.; Romanovski, V.I.; Scully, J.R.; Steinbock, O.
    Journal: Advanced Science
    Year: 2024

Chemical composition from photos: Dried solution drops reveal a morphogenetic tree

  • Authors: Batista, B.C.; Tekle, S.D.; Yan, J.; Dangi, B.B.; Steinbock, O.
    Journal: Proceedings of the National Academy of Sciences of the United States of America (PNAS)
    Year: 2024

Dr. Tirumala Vasu | Image Processing | Excellence In Research

Dr. Tirumala Vasu | Image Processing | Excellence In Research

Doctorate at Presidency University, India

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Academic Background:

Dr. G. Tirumala Vasu is an accomplished Assistant Professor in the E.C.E Department at Presidency University, Bangalore, Karnataka, with over 14 years of extensive experience in academia. He is known for his dedication to teaching, research, and development in the field of Electronics and Communication Engineering. Dr. Vasu has made significant contributions to the academic community, publishing numerous research papers, presenting at national and international conferences, and securing patents. He has a strong background in Digital Image Processing, Deep Learning, and Digital Signal Processing, among other areas. He has also been recognized for his outstanding teaching and research efforts with various awards and honors.

Education:

Dr. Vasu earned his Ph.D. from the National Institute of Technology (NIT), Tiruchirappalli in February 2024, with a thesis titled “Multi Focus, Multi Exposure and Multi Sensor Image Fusion Using Edge Preserving Filters”. He holds an M.Tech in Digital Electronics and Communication Systems from JNTU Anantapur, completed in 2009 with first-class distinction, and a B.Tech in Electronics and Communication Engineering from Sri Venkateswara University, Tirupati, completed in 2007. Additionally, he has distinguished himself academically since his early education, consistently achieving first-class distinction throughout his studies.

Professional Experience:

Dr. Vasu has been serving as an Assistant Professor at Presidency University, Bangalore since July 2018. Previously, he held the same position at Siddharth Institute of Engineering and Technology, Puttur, Andhra Pradesh from June 2012 to May 2018, and at Regency Institute of Technology, Yanam, UT of Puducherry from December 2010 to June 2012. He began his academic career at KSRM College of Engineering, Kadapa, Andhra Pradesh, where he worked from August 2009 to December 2010. Throughout his career, Dr. Vasu has taught a wide range of subjects including Computational Intelligence, Machine Learning, Digital Signal Processing, and more. He has also been actively involved in various academic and research coordination roles.

Research Interests:

Dr. Vasu’s research interests are diverse and include Digital Image and Video Processing, Deep Learning and Machine Learning, Digital Signal Processing, 5G OTFS, Electromagnetic Waves and Transmission Lines, and Antennas and Wave Propagation. He has published 28 papers in international journals, presented at numerous conferences, and published 11 patents. His work has earned him accolades such as Best Paper awards and recognition for his innovative contributions to the field of Electronics and Communication Engineering.

 Publications:

Medical image registration with object deviation estimation through motion vectors using octave and level sampling
  • Authors: Nagarathna, P., Jeelani, A., Fiza, S., Vasu, G.T., Seelam, K.
  • Journal: Automatica
  • Year: 2024
Multi-exposure image fusion using structural weights and visual saliency map
  • Authors: Tirumala Vasu, G., Palanisamy, P.
  • Journal: Multimedia Tools and Applications
  • Year: 2024
Visible and Infrared Image Fusion Using Distributed Anisotropic Guided Filter
  • Authors: Vasu, G.T., Palanisamy, P.
  • Journal: Sensing and Imaging
  • Year: 2023
Improved chimp optimization algorithm (ICOA) feature selection and deep neural network framework for internet of things (IOT) based android malware detection
  • Authors: G.T.V., Fiza, S., Kumar, A.K., Kumar, C.N., Kubra, A.
  • Journal: Measurement: Sensors
  • Year: 2023
CT and MRI multi-modal medical image fusion using weight-optimized anisotropic diffusion filtering
  • Authors: Vasu, G.T., Palanisamy, P.
  • Journal: Soft Computing
  • Year: 2023