Dr. Zulqurnain Sabir is an assistant professor of mathematics at Lebanese American University, Beirut, with prior experience as a senior researcher at United Arab Emirates University. Holding a PhD from Hazara University, Pakistan, he has a remarkable publication record of over 230 papers in reputable journals. His research interests span artificial neural networks and he's recognized for solving complex mathematical models, notably extending the Lane-Emden and Emden-Fowler models. He also solved pantograph, prediction, delay differential singular models along with the fractional order biological models including coronavirus, bone transformation, cancer, influenza, dengue model, etc. Dr. Sabir has been recognized among the top 2% of scientists globally by Stanford University in 2022 and 2023.

Dr. Nabil Mlaiki is a distinguished mathematician, hailed as one of the "Top 2% Scientists Worldwide 2022" by Stanford University. With a PhD in Mathematics from Kent State University, USA, he currently serves as a professor in the Department of Mathematics at Prince Sultan University, Saudi Arabia. Dr. Mlaiki boasts a prolific research career, having authored over 175 articles in prestigious journals. His expertise spans Finite Group Theory, General Topology, Functional Analysis, and Fractional Calculus. He actively contributes to the academic community as a reviewer for various esteemed journals and international conference proceedings.

Professor Florentin Smarandache earned his PhD in Mathematics from the University of Kishinev. He subsequently conducted post-doctoral research at various institutions including Okayama University of Science in Japan, Guangdong University of Technology in China, ENSIETA in France, and the Air Force Research Laboratory in Rome, NY, USA. Currently, he serves as a professor at the University of New Mexico.

Prof. Amjad D. Al-Nasser holds the esteemed position of full professor of applied statistics at Yarmouk University, Jordan. With a research focus spanning Generalized Maximum Entropy, Customer Satisfaction Index, Measurement Error Models, and beyond, he is a prolific scholar with over 80 publications in various journals. Prof. Al-Nasser is recognized as the Founding Editor of the Electronic Journal of Applied Statistical Analysis (EJASA) and has authored six books. His scholarly contributions extend to numerous invited lectures at conferences and seminars worldwide.

Dr. Sanjiv Sharma is a highly experienced computer science Senior Faculty at the College of Computing and Information Sciences, University of Technology & Applied Sciences in IBRA, Sultanate of Oman. With over twenty years in academia, Dr. Sharma evaluated many university thesis of research scholars in Computer Science and has authored numerous publications in areas such as software management and convolutional neural networks. He actively contributes to research, curriculum development, and industry engagement initiatives, served as an OJT Head and coordinator for various academic committees. Dr. Sharma's dedication to academic excellence has earned him recognition through awards and honors, showcasing his commitment to advancing computer science education and research.

Dr. Sonali Agarwal is an Associate Professor working in the Department of Information Technology at IIIT-Alahabad, India. She has 94 publications in various journals and conference proceedings. Her major research interests lie in the fields of Data Stream Processing, Big Data Analytics, Twin Support Vector Matchine and Complex Event Processing.

A distinguished academic, Prof. V. Kannan obtained his PhD from Madurai University, India, in 1972. After an illustrious 38-year tenure at the University of Hyderabad, where he retired as a professor, he joined SRM University, Andhra Pradesh. Prof. Kannan's expertise spans Topology, Mathematical Analysis, Discrete Dynamical Systems, and more. He has been recognized with numerous awards and accolades and boasts over 75 publications, including two authored books and published lectures.

With a PhD from IIT Kanpur, Prof. P. V. S. N. Murthy is a professor in the mathematics department at IIT Kharagpur, India. His expertise lies in Bio-Fluid Mechanics and Convective Transport in Porous Media, reflected in his substantial body of work comprising 117 publications across various journals and conference proceedings.

As a professor in the mathematics department at IIT Kharagpur, India, Prof. G. P. Raja Sekhar's research focuses on Fluid Mechanics, particularly in areas such as Biphasic Mixture Theory and Multiphase Flows. With a PhD from the University of Hyderabad, he has received prestigious honors such as the Alexander Von Humboldt Fellowship and the INSA Young Scientist Award.

Professor A. Kandasamy obtained his PhD in Applied Mathematics from IIT Bombay. He pursued post-doctoral research in Computational Fluid Dynamics at Chuo University, Tokyo, Japan. He is presently a professor at NIT Karnataka, Surathkal, in the Department of Mathematical and Computational Sciences. His expertise lies in Computational Fluid Dynamics, Non-Newtonian Fluid Flows, and Tribology. He has supervised the PhD work of six research scholars and has authored 55 articles across various national and international journals and conferences.

Dr. Kedarnath Senapati completed his PhD at the Institute of Mathematics and Applications, Bhubaneswar, followed by post-doctoral research at IIT Bhubaneswar. Currently, he serves as an associate professor in the Department of Mathematical and Computational Sciences at NIT Karnataka, Surathkal. He has successfully supervised one PhD scholar and has published 10 articles in national and international journals. His research focuses on signal and image processing, spectral analysis, machine learning, and deep learning.

Dr. Partha Pratim Roy earned his PhD in Computer Science & Engineering from the Autonomous University of Barcelona, Spain. He conducted postdoctoral research at RFAI Lab, France, and Synchromedia Lab, Canada, and also gained experience working in multinational companies like TCS and Samsung Research Institute. Presently, he is an associate professor in the Department of Computer Science and Engineering at IIT Roorkee. His research interests span a wide range including Pattern Recognition, Human-Computer Interaction, Biometrics, Computer Vision, Machine Learning, and Deep Learning.

Dr. Digambar Pawar completed his PhD in Digital Forensics/Cloud Forensics from BITS Pilani, India. He initially worked as Scientist-B at C-DAC, Trivandrum, and later as an assistant professor at BITS Pilani, Hyderabad. Currently, he serves as an associate professor at the University of Hyderabad, India. He has authored over 20 articles in international journals and book chapters and has received three sponsored projects. His research focuses on Digital Forensics, Cloud Computing, Information Security, and related areas.

Completing his PhD in Computer Science and Automation from IISc, India, Prof. P. Viswanath currently serves as an associate professor and head of the Department of Computer Science and Engineering at IIIT, Sri City. His research interests include Pattern Recognition, Machine Learning, and Data Mining, with numerous publications in reputable journals.

Dr. Krishna Pratap Singh is an Associate Professor at the Department of Information Technology, IIIT Allahabad, where he leads the Machine Learning and Optimization Lab. With a background as an Assistant Professor and Lecturer at IIIT Allahabad, he brings extensive experience to his role. Dr. Singh holds an MSc in Industrial Mathematics & Informatics and a PhD in Optimization from IIT Roorkee. He is a member of the Sakura Science Club in Japan, as well as a Senior member of IEEE and ACM. Currently, his research group focuses on Transfer Learning for low-resource data and developing models in Federated Learning settings. Additionally, they are actively engaged in tackling Markup language problems and text-toimage creation challenges.

Currently serving as a professor in the Department of Mathematics at NIT Warangal, India, Prof. K. N. S. Kasi Viswanadham specializes in Numerical Analysis, Finite Element Methods, and Optimization Techniques. With 48 publications across various journals and conferences, he has also delivered invited lectures at numerous conferences and workshops. Additionally, he serves as a reviewer for several distinguished journals.

Having earned his PhD from Andhra University in 2000, Prof. P. Tirupathi Rao pursued an M.B.A. in Operations & Supply Chain from Pondicherry University. He boasts a collection of national and international accolades and currently serves as a professor in the Department of Statistics at Pondicherry University. His academic pursuits primarily revolve around Stochastic Modeling, Optimization Methods, Applied Operational Research, Bio-statistics, Statistical Computing, and Data Envelopment Analysis.