Thippa Reddy Gadekallu

Thippa Reddy Gadekallu

1、Basic Information

Discipline/Major：Machine Learning

Professional Title：Dr.

Job Position：Chief Engineer

Advisor Category：Master's advisor

Email Address：thippa@zhongda.cn

Recruitment Major：

2、Educational and Work Experience:

Education

Ph.D Completed in December 2017, Vellore Institute of Technology, Vellore, India

Title: Soft Computing Based Models for Classification of Medical Datasets

Guided by: Dr. Neelu Khare

Masters in Engineering (Computer Science & Engineering)

Completed in May 2011, with 7.99 CGPA, at Sasurie College of Engineering, Vijayamangalam, Affiliated to Anna University of Technology, Coimbatore, Tamil Nadu, India.

Bachelor of Technology (Computer Science & Engineering)

Completed in May 2003, with 66.5%, at S.V.H College of Engineering, Machilipatnam, Affiliated to Nagarjuna University, Guntur, Andhra Pradesh, India.

Intermediate (12^th ) Completed in April 1999, with 87.6%, at S.V Junior College,Cuddapah, Andhra Pradesh, India.

S.S.C. (10^TH) Completed in April 1997, with 81.8 %, at New Angels English Medium High School, Cuddapah, Andhra Pradesh, India.

Professional Experience

April 2023 to Titillate : Chief Engineer, Chief Engineer, Zhongda Group, No.1 Baibu Avenue, Baibu Town, Haiyan County, Jiaxing City, Zhejiang Province, China- 314312 and Research Professor, College of Information Science and Engineering, Jiaxing University , Jiaxing 314001, China

June 2018 to March 2023      : Associate Professor,School of Information Technology &Engg, VIT, Vellore, Tamil Nadu, India

May 2012 to June 2018      : Assistant Professor (Senior),School of Information Technology &Engg, VIT, Vellore, Tamil Nadu

May 2011 to April 2012               : Assistant Professor,Department of Computer Science and Engineering, Brindavan Institute of Technology and Science, Kurnool, Andhra Pradesh

August 2004 to April 2011  : Lecturer, Department of ComputerScience & Engineering, Sasurie College of Engineering.,Vijayamangalam -638056, India

3、Research Field: Machine Learning, Blockchain., Internet of Things, Computer Vision

4、Research Projects (Limit 10):

1. Maddikunta, P. K. R., Pham, Q. V., Prabadevi, B., Deepa, N., Dev, K., Gadekallu, T. R., ... & Liyanage, M. (2022). Industry 5.0: A survey on enabling technologies and potential applications. Journal of industrial information integration, 26, 100257.

2. Reddy, G. T., Reddy, M. P. K., Lakshmanna, K., Kaluri, R., Rajput, D. S., Srivastava, G., & Baker, T. (2020). Analysis of dimensionality reduction techniques on big data. Ieee Access, 8, 54776-54788.

3. Wang, W., Xu, H., Alazab, M., Gadekallu, T. R., Han, Z., & Su, C. (2021). Blockchain-based reliable and efficient certificateless signature for IIoT devices. IEEE transactions on industrial informatics, 18(10), 7059-7067.

4. Song, J., Wang, W., Gadekallu, T. R., Cao, J., & Liu, Y. (2022). Eppda: An efficient privacy-preserving data aggregation federated learning scheme. IEEE Transactions on Network Science and Engineering, 10(5), 3047-3057.

5. Wang, S., Qureshi, M. A., Miralles-Pechuán, L., Huynh-The, T., Gadekallu, T. R., & Liyanage, M. (2024). Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges. IEEE Open Journal of the Communications Society.

6. Khan, T., Singh, K., Hasan, M. H., Ahmad, K., Reddy, G. T., Mohan, S., & Ahmadian, A. (2021). ETERS: A comprehensive energy aware trust-based efficient routing scheme for adversarial WSNs. Future Generation Computer Systems, 125, 921-943.

7. Yang, Y., Wang, W., Yin, Z., Xu, R., Zhou, X., Kumar, N., ... & Gadekallu, T. R. (2022). Mixed game-based AoI optimization for combating COVID-19 with AI bots. IEEE Journal on Selected Areas in Communications, 40(11), 3122-3138.

8. Huynh-The, T., Gadekallu, T. R., Wang, W., Yenduri, G., Ranaweera, P., Pham, Q. V., ... & Liyanage, M. (2023). Blockchain for the metaverse: A Review. Future Generation Computer Systems, 143, 401-419.

9. Gao, J., Liu, M., Li, P., Laghari, A. A., Javed, A. R., Victor, N., & Gadekallu, T. R. (2023). Deep incomplete multi-view clustering via information bottleneck for pattern mining of data in extreme-environment IoT. IEEE Internet of Things Journal.

10. Tripathy, S. S., Bebortta, S., & Gadekallu, T. R. (2023). Sustainable fog-assisted intelligent monitoring framework for consumer electronics in industry 5.0 applications. IEEE Transactions on Consumer Electronics.

5、Representative Papers and Publications (Limit 10)

1. DIVERSASIA Erasmus+ project (project number 618615-EPP-1-2020-1-UKEPPKA2-CBHE-JP).

Funding Amount 10,00,000 Euros

2. Co-designing a ‘Smart Curriculum’ and ‘a method of Personalised Delivery’ for Inclusive Value-Added Courses on Industry 4.0 Technologies (contract number IND/CONT/G/22-23/20).

Funder: British Council

Fund: 40000 Pounds

6、Awards and Honors

1. Recognized as one among the top 2% scientists in the world as per the survey conducted by Elsevier in the years 2021, 2022, 2023.

2. Recognized as a highl;y cited researcher, young scienist category, by Clarivate (web of Science) for the period 2017-2022 in the year 2023.