Visual Computing Frontiers: Advancements and Challenges in Image/Video Processing and Analysis

Visual Computing Frontiers: Advancements and Challenges in Image/Video Processing and Analysis

Objective of the Special Issue

The special issue on "Visual Computing Frontiers: Advancements and Challenges in Image and Video Processing and Analysis" serves as a platform for researchers, practitioners, and industry experts to explore the latest developments and hurdles in visual computing. It aims to foster collaboration and knowledge exchange while showcasing cutting-edge methodologies, algorithms, and technologies. Addressing challenges like scalability, efficiency, and accuracy, researchers aim to push the boundaries of image and video processing techniques. The issue delves into novel applications across domains such as healthcare, entertainment, and surveillance, unveiling opportunities for innovation. Ethical considerations, including privacy and bias, are also scrutinized to ensure responsible deployment. By tackling these aspects, the special issue seeks to guide future research directions and enhance the impact of visual computing technologies in addressing real-world challenges and improving societal well-being.

Potential Topics:

  1. Deep Learning Approaches for Image Recognition: Advancements and Challenges

  2. Geo-spatial hyperspectral image classification

  3. Real-Time Video Analysis Techniques for Surveillance Systems

  4. Multi-Modal Fusion Strategies for Enhanced Image and Video Processing

  5. Near Duplicate Video Retrieval Techniques: Advances and Challenges in Deep Learning Approaches

  6. Ethical Considerations in Facial Recognition Technologies

  7. Augmented Reality Applications: Innovations in Visual Computing

  8. Object Tracking Algorithms for Dynamic Video Scenes

  9. Scalable Image Compression Techniques for Efficient Storage and Transmission

  10. Advancements in 3D Reconstruction from Images and Videos

  11. Semantic Segmentation Methods for Scene Understanding in Visual Computing

  12. Visual Computing for Medical Imaging: Recent Developments and Future Directions

Editorial Team:

1. Dr. Kailash Shaw,

      Assoc. Professor - Dept. of Artificial Intelligence and Machine Learning., Symbiosis Institute of Engineering Technology,

      Symbiosis International (Deemed University) (SIU), Lavale, Pune - 412115, India

      Expertise Area of Research:

  • Artificial Intelligence and Machine Learning,

  • Data Science and Big Data Analytics,

  • Computer Vision and Image Processing,

  • Software Engineering and Development Methodologies,

  • Bioinformatics and Computational Biology     

      About Dr. Kailash Shaw.

Dr. Kailash Shaw holds esteemed positions as a Senior Member of IEEE, CO-Chair of IEEE Intelligent Computer Society, and Associate Professor at AIML SIT, Symbiosis International University. His primary research expertise encompasses Artificial Intelligence and Machine Learning, Data Science and Big Data Analytics, Computer Vision and Image Processing, as well as Software Engineering and Development Methodologies, and Bioinformatics and Computational Biology. With over 60 publications in esteemed scientific journals such as Science Direct Elsevier, Springer, Big Data and Cognitive Computing, Electronics (Switzerland), and Frontiers in Public Health, among others, Dr. Shaw has made significant strides in advancing knowledge in his field. Over the past few years, he has secured research funding totalling Rs5.3 Crore from various government bodies including DST and AICTE.

Dr. Shaw's career is punctuated by notable achievements, including receiving the Best Paper award at the AIKIIE-2023 conference in Ballari, showcasing his innovative research prowess. In 2019, he served as a Session Chair at prestigious conferences such as the International Conference on Artificial Intelligence and Evolutionary Computation in Engineering Systems at SRM University, Chennai, and the 2nd International Conference on Advanced Trends in Computer Science & Information Technology at Rajarshi Shahu College of Engineering, Pune. Notably, Dr. Shaw was consecutively honored with the Best Paper award at cPGCON from 2017 to 2019, illustrating the impact and quality of his research at DPU University, Pune. His leadership and expertise have been further demonstrated through pivotal roles as Chief Guest and Guest Speaker at various events. Dr. Shaw's dedication to advancing research earned him the prestigious Visweswarya Prativa Puraskar in 2015, recognizing his outstanding contributions under SOA University, BBSR. His profound impact underscores his position as a leader in the field of computer science and engineering.

Research Profile Link

PhD Supervision:

  • Competed PhD Supervision: 01

  • Current PhD Supervision: 03

For more details His CV is attached for Reference

2. Prof. Baihua Li,

      Professor of Computer Vision and Machine Learning

      Department of Computer Science, Loughborough University, UK. LE11 3TU. Email:

Expertise Area of Research:

  • AI and Machine learning

  • Computer vision

  • Pattern recognition

  • Human motion analysis and HCI

  • Robotics and autonomous systems

  • Signal & image processing

  • Data science

  • Computer graphics and virtual reality

About Prof Li:

Prof. Li is a Senior Member of IEEE, Member of IEEE Computer Society, and Fellow of Higher Education Academy (UK), and Senior Member of AI Steering Group at Loughborough University. Her main research expertise lies in computer vison, pattern recognition, machine learning, deep learning and robotics. Her research emphasizes novel AI theory and applications in human-machine interaction, sports science, autonomous systems, computer- aided medical diagnosis, video/audio processing and big data. More than 110 papers have been published, including the most prestigious scientific journals, e.g. IEEE Trans. Cybernetics, IEEE Trans. Industrial Informatics, IEEE Trans. Biomed Eng., IEEE Trans. Image Processing, Pattern Recognition, IEEE J. of Biomedical and Health Informatics. She has a solid proven track record and completed a number of research projects funded by research councils and R&D projects funded by Innovate UK, Newton Fund, Knowledge Transfer, UK National Health Service (NHS) and national/international industry. In the last 4 years, she was awarded research funding over £5M.

She has been invited as General Chair of IEEE Int. Confs (e.g. IEEE ICAICA’21 & 22), Keynotes, journal Editor, TPC member and peer reviewer for research councils (e.g. UKRI), flagship journals and conferences. She has been collaborating with world leading institutions (e.g. CMU, Cambridge, Boston, Chinese Academy of Sciences, Tianjin Univ., Manchester and UCL) as well as industry including ARM, Tata Steel and SMEs. Her research has been widely reported by media, including BBC News, NewScientist, AI Business, Engineering & Technology, BBC Radio 4, Robotics & Innovation, Independent, S4C etc. Commercial product (e.g. Dance: UK) and prototypes are developed through R&D and knowledge transfer projects.

For more details Her CV is attached for Reference

3. Dr. Mohammad Husain

Assistant/Associate Professor,

Islamic University of Madinah, Madinah, KSA

     Expertise Area of Research:

  • Computer Vision and Information Technology

  • virtual reality

  • Internet of Things for the Development of Smart Cities

  • Heterogeneous Database Systems

  • Cloud Computing

  • Artificial Intelligence and Machine Learning


Dr. Mohammad Husain: Worked with multi-environment at different levels. Special areas are development, administration, training, planning and implementation. Currently holding editor in chief for reputed journals IJEMR and IJIRCSST. Also served as Editor or advisor to many journals. He has secured research funding totalling SAR 94000 as Principal Investigator. Under his guidance 14 scholars has completed PhD and 3 are pursuing.

For more details please refer to the attached CV.


Time lines for submission: 31st December 2024

Review: 30Th January 2025

Publication Processes: 27th February 2025.