Quantum Computing and Artificial Intelligence in Logistics and Supply Chain Management
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Quantum Computing in Logistics and Supply Chain Management discusses the transformative potential of quantum computing in reshaping the landscape of supply chain management.

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Quantum Computing in Logistics and Supply Chain Management discusses the transformative potential of quantum computing in reshaping the landscape of supply chain management.
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Autorenporträt
Dr Pronaya Bhattacharya received the Ph.D. degree from Dr. A. P. J Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India. He is currently an Associate Professor with the Computer Science and Engineering Department, Amity School of Engineering and Technology, Amity University, Kolkata, India. He has over ten years of teaching experience. He has authored or coauthored more than 140 research papers in leading SCI journals and top core IEEE COMSOC conferences. Some of his top-notch findings are published in reputed SCI journals, such as IEEE JBHI, IEEE TVT, IEEE IoTJ, IEEE TNSE, IEEE TNSM, IEEE TCSS, IEEE TGCN, IEEE Internet of Things Magazine, IEEE Communication Standards Magazine, ETT (Wiley), Expert Systems (Wiley), CCPE (Wiley), FGCS (Elsevier), OQEL (Springer), WPC (Springer), ACM-MOBICOM, IEEE-INFOCOM, IEEE GLOBECOM, IEEE-ICC, IEEE-CITS, IEEE-ICIEM, IEEE-CCCI, and IEEE-ECAI. He has an H-index of 33 and an i10-index of 71. He has edited five books and is currently editing eight books from famed publishers like IGI Global, Elsevier, and Springer. His research interests include healthcare analytics, optical switching and networking, federated learning, blockchain, and the IoT. He is listed as Top 2% scientists as per list published by Stanford University. He has been appointed at the capacity of a keynote speaker, a technical committee member, and the session chair across the globe. He was awarded ten Best Paper Awards in Springer ICRIC-2019, IEEE-ICIEM-2021, IEEE-ECAI-2021, Springer COMS2-2021, and IEEE-ICIEM-2022. He is a Reviewer of 40 reputed SCI journals, such as IEEE IoTJ, IEEE TII, IEEE JBHI, IEEE Sensors, IEEE TVT, IEEE Network magazine, ETT (Wiley), IJCS (Wiley), MTAP (Springer), OSN (Elsevier), WPC (Springer), and others. Orcid ID: https://orcid.org/0000-0002-1206-2298 Dr Jai Prakash Verma is working as an Associate Professor in the Computer Science and Engineering Department, Institute of Technology, Nirma University. He has been associating with the department since July 2006. Dr Verma received his BSc (PCM) and MCA degree from the University of Rajasthan, Jaipur, and a PhD from Charusat University, Changa. His Ph.D. subject area was Text Data Summarization and Big Data Analytics. His research interests include Data Mining, Big Data Analytics, and Machine Learning. He has contributed to the research in said domain with several international conferences and journal publications. He is a recognized PhD guide at Nirma University and currently guides three PhD scholars. He has also been working as the IQAC coordinator for the School of Technology at Nirma University and actively contributing to all ranking-related tasks for the institute, such as NAAC, NBA, NIRF, etc. He is actively involved in various training programs, such as customized training on Big Data Analytics for Naval officers at INS Valsura, Indian Navy, and SAC-ISRO, Ahmedabad scientists. He with other faculty members of the department coordinates activities of CoE (Data Science) in the department, in collaboration with SUNY Binghamton, New York. Orcid ID: 0000-0001-6116-1383 Neel Kanth Kundu has received the B.Tech. degree in electrical engineering with a specialization in communication systems and networking from the Indian Institute of Technology Delhi, New Delhi, India, in 2018, and the Ph.D. degree in electronic and computer engineering (ECE) with a concentration in scientific computation from The Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Hong Kong, in 2022. From September 2022 to January 2023, he was a Post-Doctoral Research Associate with the ECE Department, HKUST. From February 2023 to October 2023, he was a Post-Doctoral Research Fellow with the Department of Electrical and Electronic Engineering, The University of Melbourne, Australia, where he holds an honorary fellow position. Since October 2023, he has been an Assistant Professor with the Centre for Applied Research in Electronics, Indian Institute of Technology Delhi. He is currently a joint Faculty Member with the Bharti School of Telecommunication Technology and Management, Indian Institute of Technology Delhi. His research interests include signal processing for 6G wireless communications, quantum communications, and quantum information processing. He was a recipient of the INSPIRE Young Faculty Fellowship awarded by the Department of Science and Technology, Government of India. He was a recipient of Hong Kong Ph.D. Fellowship and the Overseas Research Award at HKUST. ORCID: https://orcid.org/0000-0002-6439-4024 Dr. Ashok Chopra is a highly skilled, accomplished, and experienced Senior Academician in Teaching, Training, and Development, with strong learning acumen. He is a Registrar, Program Chair - Ph.D., Member of the University Research Committee at Amity University Dubai, and Associate Professor - at Amity Business School. He has demonstrated research success with multiple published papers, articles, books, and chapters. Expert in creating stimulating environments for applied learning, accommodating students'/trainees' diverse cultural and educational backgrounds, experiences, and individual learning styles. Have more than twenty-five years of international industry experience in senior and leadership positions, Entrepreneurial expertise of more than ten years, and more than thirteen years of experience as an academician and corporate trainer. He is a perfect blend of academia, industry, and entrepreneurship. He has to his credit Two Books, Fourteen Book Chapters & Case Studies, and More than Eighty Papers in International Journals and conferences of repute; he is on the reviewing, editorial, and advisory boards of reputed Journals, Conferences, and Institutions. https://orcid.org/0000-0002-2863-8730, Scopus Author ID: 57208471138 Ph.D.; MBA; Certified 6 Sigma Manager (Black Belt) Post Graduate in Business, Administrative, and Marketing & Sales Management, Chartered Fellow CILT UK & Full Member CIPS UK Served as a consultant at FIATA/NAFL (International Federation of Freight Forwarders Associations), Switzerland, from Jan. 2014 to Dec. 2015. I have conducted over three hundred corporate training programs through an entrepreneurial venture. I provided management consultancy to several organizations. Core skills as an academician include ensuring program and course curricula are current, relevant, and reflective of best practices within a professional/program discipline. Further defining, evaluating, and validating learning outcomes for courses and programs. Creating learning environments that accommodate students' diversity in cultures, education, experiences, and learning styles. Designing appropriate strategies and methods for facilitating and assessing student learning that are invitational and reflective of best practices in teaching. Developing ways to evaluate student performance consistent with the course's learning outcomes and metrics that address multiple learning styles. Producing multi-media materials, alternative delivery strategies, and incorporating various educational technologies into the learning process. Communicating, ensuring that students are aware of course, program learning outcomes, learning strategies, and evaluation techniques; providing individual tutoring and academic counseling as per student needs Have won One Gold, Three Silver Medals, and Two Cash Prizes for Topping among Twenty Six Centers in India in Post - Graduation in Business Management and Marketing & Sales Management. Dr. Pushan Kumar Dutta is an accomplished academic, researcher, and Assistant Professor Grade III at Amity University, Kolkata, with expertise in Electronics and Communication Engineering, AI, and digital transformation. With a prolific record in both research and academic publishing, Dr. Dutta has edited over 30 books for prestigious publishers such as IGI Global, Springer, Elsevier, Taylor & Francis, and more, primarily focusing on emerging technologies and Industry 4.0/5.0 advancements. His areas of editorial expertise encompass AI and machine learning in healthcare and business, sustainable development, IoMT, quantum computing applications, and digital manufacturing. In addition to his publishing achievements, Dr. Dutta is the Series Editor for "Sustainable Industrial Engineering Systems" with CRC Press. Recognized as a "Mentor of Change" by NITI Aayog, he is dedicated to guiding students, fostering innovative project development, and mentoring award-winning projects. His impactful contributions in predictive analytics, edge computing, and data mining, especially in smart healthcare and earthquake studies, highlight his commitment to applying AI for societal and industrial betterment. Dr. Dutta is a recipient of the Venus International Faculty Award (2018) and is among the top three researchers at Amity University Kolkata by Scopus-listed publications. He holds two patents in advanced technological solutions, contributes to hackathon mentorship, and actively participates in sustainable engineering practices through design thinking. Dr. Dutta's teaching encompasses Data Science, AI, Basic Electrical, and Digital Architecture, and he excels in research methodology, project ideation, and sustainable development coursework. Khursheed Aurangazeb Khursheed Aurangzeb (Senior Member IEEE) is Associate professor in the Department of Computer Engineering, College of Computer and Information Sciences at King Saud University (KSU), Riyadh, Saudi Arabia. He received his Ph.D. degree in Electronics Design from Mid Sweden University Sweden in June 2013, MS degree in Electrical Engineering (System on Chip Design) from Linkoping University, Sweden in 2009. He received his B.S. degree in Computer Engineering from COMSATS Institute of Information Technology Abbottabad, Pakistan in 2006. Dr. Khursheed has authored and co-authored more than 90 publications including IEEE / ACM / Springer / Hindawi / MDPI journals, and flagship conference papers. He has obtained more than 17 years of excellent experience as instructor and researcher in data analytics, machine/deep learning, signal processing, electronics circuits/systems and embedded systems. He has been involved in many research projects as a principal investigator and a co-principal investigator. His research interest is in the diverse fields of embedded systems, computer architecture, signal processing, wireless sensor networks, communication, and camera-based sensor networks with an emphasis on big data and machine/deep learning with applications in smart grids, precision agriculture, and healthcare.