ICT Systems and Sustainability

Dr. Milan Tuba, Professor of Computer Science, Mathematics and Electrical Engineering, Head of the Artificial Intelligence Project at Singidunum University and Vice-Rector of Research at Sinergia University, is included in both versions of the Stanford University list of 2% of the most influential scientists in the world in all disciplines, one for contribution during the entire career and other for contribution in the previous year (for years 2020, 2021, 2022, 2023 and 2024). Prof. Tuba is the highest ranked researcher in Serbia for Computer Science field at AD Scientific Index - World Scientists Rankings. Prof. Tuba is the author or co-author of around 300 scientific papers (cited more than 7, 700 times, h-index 53) and editor, co-editor or member of the editorial board or scientific committee of number of scientific journals, Springer books, congresses and international conferences. He was invited and delivered over 100 keynote and inaugural lectures at international conferences. His research interest includes Artificial Intelligence, Deep Learning, Neural Networks, Nature-inspired Optimization Algorithms, Image Processing, Computer Networks. Prof. Tuba is a member of the National Agency for Accreditation of Universities of the Republic of Serbia. Senior Member IEEE, Senior Member ACM, AMS, SIAM, IFNA, Executive Board of IASEI.

Dr. Shyam Akashe is a professor in Electronics & Communication Engineering Department and Dean International Cooperation & Projects at ITM University Gwalior. He received M. Tech degree in Electronics & Communication Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal in 2006 and Ph. D. Thapar University, Patiala (previously Thapar Institute of Engineering and Technology), Punjab in 2013. During his Ph. D. studies, he worked on Low power memory cell design. After joining ITM University Gwalior in 2012, he leads as an M. Tech VLSI Design coordinator, focusing on low power VLSI design, modeling, FinFET based memory design, circuits for future VLSI technology, digital design and FPGA implementation. This has resulted in over 300 peer-reviewed journal and conference papers and holds more than 10 patents.

Dr. Amit Joshi is currently serving as the Director of the esteemed G R Scholastic LLP, India. His academic journey includes obtaining a B. Tech from Tech in Computer Engineering, Ph. D. in areas of Cloud Computing and further obtaining a Post Doctorate in Market Analysis of International Business from National Taipei University of Business, Taiwan. Enhancing his vision with his rich experience spanning approximately 15 years and realizing the need of globalization in education and business. His active affiliations include esteemed professional societies such as ACM, IEEE, CSI, AMIE, IACSIT Singapore, IDES, ACEEE, NPA, and more. He has presented and authored over 50 papers in reputable national and international journals and conferences, specifically those organized by IEEE and ACM. His editorial contributions include editing over 100 books published by renowned publishers such as Springer, T&F and ACM. He has also organized over 100 national and international conference delegations and workshops in over 20 countries including the USA, Canada, major of Europe, Southeast Asia through various societies and international organizations. He serves as the Director of the Knowledge Chamber of Commerce and Industry, where he concentrates on establishing effective relationships among bureaucrats, industry associations, academic leaders, and regulatory authorities to address common research-related issues across sectors. Also, one of his primary focuses also is on building academic collaborations and promoting the 'ZAPAL' initiative, a future-oriented project involving abroad education powered by his profit venture, G R Scholastic LLP. He is also on the Board of Yudiz Solutions Limited as an Independent Director.

Issues and Challenges of MRI Based Brain Tumor Detection using Deep Learning. - Early Detection of Kidney Disease Using Ensemble Learning and Feature Engineering Techniques. - Energy Consumption Optimization of 5g uplink in NB-IoT. - Detecting Malicious Dark Pattern Codes Using SHAP (Shapley Additive Explanations) Feature Engineering. - AI and AR Based Integrated Solution for Optimal Sericulture Management. - DEEP FAKE FACE DETECTION USING MACHINE LEARNING. - Safety Audit for Nigdi - Dapodi BRT Corridor.