Produktbild: Artificial General-Internet of Things (AG-IoT) for Robotics: Advanced Computer Vision Applications and Future Trends
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Artificial General-Internet of Things (AG-IoT) for Robotics: Advanced Computer Vision Applications and Future Trends

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

27.09.2025

Abbildungen

XXVIII, 310 p. 62 illus., 56 illus. in color.

Herausgeber

Mehak Mushtaq Malik + weitere

Verlag

Springer

Seitenzahl

310

Maße (L/B/H)

24,1/16/2,4 cm

Gewicht

674 g

Sprache

Englisch

ISBN

978-3-031-95301-9

Beschreibung

Portrait


Mehak Mushtaq Malik is currently a junior researcher at Delta and pursuing her Ph.D. at University of Tartu, Estonia. Previously, she worked as a research scientist at KIOS Research and Innovation Center of Excellence. She did her M.S. degree in Computer Science from COMSATS University Islamabad. She completed her bachelor’s degree in software engineering from COMSATS University Islamabad. She achieved the award of distinction with silver medal. She also held various positions of distinction in different semesters of her bachelor’s degree. She presented in 2nd International Workshop on Intelligent Systems for Sustainable Smart Cities, I3SC'23. She also presented in 1st International Conference on Emerging Trends & Innovation (1st ICETI). She is an editor of two books which are published in Springer Nature.



Hafsa Maryam received a B.S. degree in computer science from the PMAS-Arid Agriculture University, Pakistan, in 2014. Building on this foundation, she earned her M.S. degree in Computer Science from COMSATS University, Islamabad, Pakistan, in 2017.  She also served more than two years as a software developer and as a visiting lecturer at the SE Department of IUSE School of Engineering and Management Sciences affiliated with UET Taxila in 2018, Rawalpindi, Pakistan. Moreover, from 2018 to 2020, she worked as a lecturer at the Computer Science Department of the Institute of Space Technology (IST)–KICSIT campus and BIMS affiliated with PMAS-Arid Agriculture University, Rawalpindi, Pakistan. She is currently pursuing a PhD degree at the University of Cyprus, Cyprus. She is the author/ coauthor of 20 research papers published in national and international conferences, book chapters, and journals.



Inam Ullah Khan is a distinguished academic and industry expert in AI, AGI, UAVs, routing protocols, IDS, ML/DL, and evolutionary computing. He is the Founder of AI-EYS and a Senior IEEE member with affiliations in IAENG and various IEEE councils. He currently serves as Postdoctoral Research Fellow at Multimedia University, Malaysia, and Visiting Faculty at NAVTTC and PSGR Krishnammal College, India. He previously held research and faculty positions at King’s College London, NUTECH, CESET, SZABIST, and others. Dr. Inam Ullah Khan holds a Ph.D. and M.S. in Electronics Engineering (Isra University) and a B.S. in Computer Science. Author of 100+ publications and editor of 20+ books, he has been featured on Pakistan National TV for his AI expertise.



Shashi Kant Gupta is a Postdoctoral Fellow in Computer Science at Eudoxia Research University, USA, and the Research Institute of IoT and Cybersecurity, National Kaohsiung University of Science and Technology, Taiwan. He serves as Adjunct Professor at Lincoln University College (Malaysia), Chitkara University (India), Saveetha School of Engineering (India), and MAAUN (Nigeria), among others. With over 14.5 years of academic experience and 2 years in industry, he is the Founder & CEO of CREP Pvt. Ltd. and editor-in-chief of IJDIIC and IJETCC. He has published widely in SCOPUS/SCI journals, holds international patents, and edits books with Springer, CRC, Wiley, and Taylor & Francis. His research focuses on cloud computing, big data, IoT, and education technology. He is a senior editor, IEEE member, and recipient of multiple international awards.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

27.09.2025

Abbildungen

XXVIII, 310 p. 62 illus., 56 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

310

Maße (L/B/H)

24,1/16/2,4 cm

Gewicht

674 g

Sprache

Englisch

ISBN

978-3-031-95301-9

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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