Dr. Harish Taluja
Dean - School of Engineering Technology
About:
Dr. Harish Taluja is currently a Professor & Dean, School of Engineering & Technology Noida International University Noida, India. Dr. Harish Taluja is a visiting Professor in various International University. Dr. Harish Taluja’s research interests include Data Analytics, Data Mining, Artificial Neural Network, Blockchain Technology, Wireless Sensor Networks, and IoT. He has authored 04 books and edited 3 books, more than 50 technical papers, including top journals and top conferences, such as IEEE TNSE, TVT, TII, WCM, Networks, ICC, GLOBECOM, and INFOCOM. Dr. Harish Taluja initiated the research field of Data Analytics and Reliability Engineering adoption in various verticals in 2017. Dr. Harish Taluja actively serves his research communities in various roles. He is currently serving the editorial boards of various International Journal. He has been awarded best research paper awards from various International Conferences. He has served many international conferences as a member of the organizing committee and member of advisory board of various international conferences. Dr. Harish Taluja is a final member for IEEE, CSI and IAENG and the member of Technical Committee.
Qualification: Ph.D, M.Tech(IT), UGC Net
Experience: 20 Years
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Award & Recognition: |
Publications:
Research:
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Book Published
- “Internet and Java Programming” Published by Firewall media Publication, Delhi. First Vo. 2008, Second Vol. 2009, Third revised edition in Press
- “Java Programming” Published by Firewall Media for Chaudhary Devi Lal University Sirsa Haryana (Distance Education Course Module of MCA).
- “Enterprise Java Programming” Published by Laxmi publication for IASR University (Distance Education Course Module of MCA).
- “Graph Theory” Published by University Press, Delhi. First Vo. 2009, revised edition is in Press (Book is as per UPTU Syllabus).
Certifications:
Received various certificates from IIT, Sun Java, Microsoft Course era, and ICT academy
Area of Interest: research interests include Data Analytics, Data Mining, Artificial Neural Network, Blockchain Technology, Wireless Sensor Networks, and IoT.
