Dr. Shivanshu Shrivastava | Deep Learning | Best Researcher Award

Dr. Shivanshu Shrivastava, Deep Learning, Best Researcher Award

Doctorate at Rajiv Gandhi Institute of Petroleum Technology, India

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🌍 Academic Background:

Dr. Shivanshu Shrivastava is an Assistant Professor in the Department of Electrical & Electronics Engineering at Rajiv Gandhi Institute of Petroleum Technology (RGIPT), Amethi, Uttar Pradesh, India. He has been contributing to the field of electrical and electronics engineering with a focus on artificial intelligence and communications since September 2021.

πŸŽ“ Education:

Dr. Shrivastava earned his Ph.D. from IIT Guwahati in August 2017, specializing in Wireless Communication with a thesis on “Security Issues in Cognitive Radios,” under the guidance of Prof. A. Rajesh and Prof. P. K. Bora. He completed his Postdoctoral Fellowships at Shenzhen University, China, and IIT Kanpur from August 2017 to December 2020, focusing on “Artificial Intelligence and Deep Learning Applications in 5G Communications” under Prof. Bin Chen. He holds a Bachelor of Engineering degree in Electronics and Telecommunication Engineering from CSVTU, Bhilai, with a CPI of 8.13/10.

πŸ’Ό Work Experience:

Before joining RGIPT, Dr. Shrivastava worked as a Postdoctoral Fellow at Shenzhen University from January 2019 to December 2020 and as a SERB-NPDF at IIT Kanpur from August 2017 to October 2018. His current role involves advancing research in deep learning and AI applications in communications.

πŸ”¬ Research Areas:

His research interests encompass artificial intelligence and deep learning applications in communications, cognitive radio systems, wireless communications, visible light communications (VLC), and security issues in cognitive radios.

πŸ“ Research Experience:

At RGIPT, Dr. Shrivastava leads research on deep learning and AI applications in wireless communication. His previous projects include optimizing achievable rates in hybrid RF/VLC systems and designing energy-efficient hybrid RF/VLC systems for 5G communications. He has supervised Ph.D. students and undergraduate project students in these areas.

πŸ† Honors, Awards, and Memberships:

Dr. Shrivastava has received the International Travel Support (ITS) from SERB for attending the IEEE ICCCAS conference in Xiamen, China, and the Best Teacher Award from Union Bank of India at RGIPT. He was also honored with postdoctoral fellowships from Shenzhen University and IIT Kanpur.

πŸ“– Publications:

A lightweight group-based SDN-driven encryption protocol for smart home IoT devices
  • Authors: Raza, A., Khan, S., Shrivastava, S., Wu, K., Wang, L.
  • Journal: Computer Networks
  • Year: 2024
Collision Penalty-Based Defense Against Collusion Attacks in Cognitive Radio Enabled Smart Devices
  • Authors: Shrivastava, S., John, S., Rajesh, A., Bora, P.K.
  • Journal: IEEE Transactions on Consumer Electronics
  • Year: 2024
Transfer learning for resource allotment in dynamic hybrid WiFi/LiFi communication systems
  • Authors: Verma, T., Shrivastava, S., Dwivedi, U.D., Kothari, D.P.
  • Journal: Optics Communications
  • Year: 2023
Asset Allotment in Hybrid RF/VLC Communication in the 400-700 THz Band
  • Authors: Shrivastava, S., Agarwal, S., Chen, B.
  • Journal: Terahertz Wireless Communication Components and System Technologies
  • Year: 2022
A survey on security issues in cognitive radio based cooperative sensing
  • Authors: Shrivastava, S., Rajesh, A., Bora, P.K., Lin, X., Wang, H.
  • Journal: IET Communications
  • Year: 2021

Wen-Zhou-Deep Learning for Computer Vision-Excellence in Research

Wen-Zhou-Deep Learning for Computer Vision-Excellence in Research

Nanjing University-China

Author Profile

Early Academic Pursuits

Zhou Wen embarked on his academic journey at Nanjing University of Finance and Economics (NUFE), pursuing a Bachelor of Engineering (B.E.) in Software Engineering from September 2020 to July 2024. His dedication and academic excellence are reflected in his impressive grade of 77.2982/100. Zhou's commitment to scholarly pursuits was further acknowledged through various grants and scholarships, including the prestigious National Scholarship and the Jiangsu Provincial National Innovation Project Grant.

Professional Endeavors

Entrepreneurial Ventures

Zhou demonstrated his entrepreneurial spirit by founding a groundbreaking project, "Research on Elementary Geometry Learning Application based on Machine Proving and Metaverse." As the founder and social practitioner, he integrated advanced mathematics with intelligent applications, creating a virtual machine program to facilitate engaging geometry learning for high school students. The project not only addressed an educational gap but also earned Zhou recognition, including a Silver award in the "Internet+ Innovation and Entrepreneurship" competition.

Corporate Internships

Zhou's professional experience includes internships at Nanjing Shunfa Software Technology Co., Ltd, where he contributed to the development of a medical-integrated intelligent software product. His impactful work resulted in an initial market value evaluation of 20 million RMB. Additionally, his role as a Huawei HSD Campus Developer Ambassador showcased his ability to propagate and organize study sessions around Huawei's technologies.

Research Leadership at Tianjin Zhisheng Technology Co., Ltd

In his role as the Director of Research and Development at Tianjin Zhisheng Technology Co., Ltd, Zhou oversaw product R&D and innovation. His leadership contributed to the successful securing of 6 million RMB in funding for the "Jin Yinhua Harvesting Robot" project. Zhou's commitment to excellence extended to academic contributions, including authored papers in SCI and EI indexed journals.

Contributions and Research Focus

Pioneering Research in Computer Vision

Zhou's research experience in computer vision is notable, particularly in the project "Quick Detection and Implementation of Small Targets in Computer Vision." Serving as the technical leader and core member, he proposed improvements and integrated them into a common framework, resulting in two academic papers and a software copyright.

Innovation in Face Recognition Technology

As a project leader and technical advisor in "Research on Adversarial Machine Learning in Face Recognition Technology," Zhou addressed challenges in face recognition systems from adversarial attacks. The project yielded an EI-indexed paper on obstacle detection based on the Grey Wolf Detection Algorithm.

Advanced Research in Medical Imaging

Zhou's contributions to medical imaging include projects such as "Fine-grained Image Classification and Feature Recognition in Human Eye Disease Automatic Analysis and Diagnosis." Leveraging computer vision technology, he obtained two software copyrights and anticipates a publication in an SCI journal.

Accolades and Recognition

Zhou's outstanding achievements have earned him numerous accolades at both national and international levels. Noteworthy awards include a Silver Award in the KAGGLE RSNA 2023 Abdominal Trauma Detection competition, a Gold Award in the Algorithm Design and Programming Challenge Winter Competition, and multiple prizes in national and international innovation and entrepreneurship competitions.

Impact and Influence

Zhou's impact extends beyond academic and professional realms. His interviews with Huawei & China News Weekly, features by major media outlets, and leadership in innovative projects demonstrate his influence in the tech community. His role as a Huawei HDC Campus Ambassador and CCF Special Campus Ambassador further solidifies his standing in the industry.

Legacy and Future Contributions

Zhou's legacy is characterized by prolific research, entrepreneurial ventures, and a trail of accolades. His future contributions are eagerly anticipated, with ongoing research projects, patent applications, and a demonstrated passion for computer science and technology. As he continues to evolve as a Geek with a fervor for innovation, Zhou Wen is poised to leave an indelible mark on the fields of software engineering and artificial intelligence.

Notable Publication