Maurizio D’Arienzo | Computer Network | Best Researcher Award

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Assoc. Prof. Dr. Maurizio D’Arienzo | Computer Network | Best Researcher Award

Assoc. Prof. Dr. Maurizio D’Arienzo, University of Campania “L. Vanvitelli”, Italy

Dr. Maurizio D’Arienzo is an accomplished academic and researcher currently serving as an Associate Professor at the Università della Campania “L. Vanvitelli” in Italy. His career spans over two decades, marked by significant contributions to the field of computer networks, particularly in Quality of Service (QoS), software-defined networks, and collaborative diagnosis frameworks. With a distinguished record of research, teaching, and international collaborations, Dr. D’Arienzo has emerged as a prominent figure in the intersection of information engineering and digital transformation. He holds a reputable position in both academia and applied research through his extensive involvement in European and national research projects and his influential presence in international scientific communities.

🌍 Professional Profile

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Orcid

Scopus

🏆 Suitability for Best Researcher Award

Dr. Maurizio D’Arienzo exemplifies academic excellence, interdisciplinary research innovation, and international collaboration. With a strong publication record, impactful teaching, and extensive involvement in pioneering research projects—particularly in the fields of computer networks, quality of service, and emerging technologies like AI and blockchain—Dr. D’Arienzo has significantly advanced the frontiers of information and communication technologies. His contributions have not only garnered academic recognition but have also demonstrated practical relevance in real-world systems. For these reasons, Dr. D’Arienzo is highly deserving of the Best Researcher Award, and his nomination stands as a testament to his sustained commitment to excellence in research, education, and service to the scientific community.

🎓 Education

Dr. D’Arienzo earned his Ph.D. in Information Technology Engineering from the University “Federico II” of Naples in February 2003. His doctoral thesis focused on the “Deployment of Flexible Services over Programmable Networks,” reflecting his early engagement with adaptive network infrastructure. Prior to this, he obtained his Laurea Degree in Electronic Engineering from the same university in June 1999, where he developed an API for Quality of Service control in video-streaming applications. These foundational academic pursuits laid the groundwork for a research career rooted in real-world applicability and future-oriented network architectures.

💼 Experience

Dr. D’Arienzo’s professional journey began with research collaborations under European framework projects and expanded into prominent fellowships in Italy and the UK. He served as a Research Fellow at Imperial College London from 2005 to 2006, engaging in EPSRC-funded research on self-aware networks. From 2006 to 2023, he held a permanent position as Assistant Professor at the Department of Political Science, Università della Campania. He has contributed to diverse projects like Smarthealth 2.0, PRIN, and PATTERN AI, where his work centered around network security, digital experience testing in 5G environments, and blockchain-integrated privacy models. His leadership in digital transformation projects with institutions like Banco Napoli Foundation underscores his ability to bridge academic innovation with institutional application.

🔬 Research Focus

Dr. D’Arienzo’s research is deeply embedded in computer networks, with a core focus on Quality of Service (QoS) mechanisms, scalable architectures, and adaptive protocol design. He has significantly contributed to the theoretical and experimental validation of communication models supporting multi-service integration. His more recent research explores game-theoretical approaches in sensor network coordination, algorithmic resilience in software-defined networking (SDN), and the security of digital infrastructures. His global academic collaborations further enriched his approach, enhancing innovation in network protocol research and experimentation.

🏅 Awards and Honors

Dr. D’Arienzo has been recognized multiple times for his scholarly contributions. He received the Best Paper Award at AFIN 2010 for the work titled “Smoothing selfishness by isolating non-cooperative nodes in wireless ad hoc networks”, and again at IEEE Symposium 2010 for the development of UANM, a unified architecture for network measurement. His continued excellence was acknowledged in 2017 at AFIN for a framework facilitating dynamic deployment in wireless sensor networks. Furthermore, his certification as a reviewer and active participation in over two dozen international conference committees highlight his esteemed role in the peer review ecosystem.

📚 Publication Top Notes

An Experimental Comparison of Basic Device Localization Systems in Wireless Sensor Networks
Journal: Network
Date: April 14, 2025
DOI: 10.3390/network5020011
Contributors: Maurizio D’Arienzo
Summary: This article explores the performance of several basic device localization systems in the context of wireless sensor networks (WSNs). It experimentally compares key techniques based on metrics such as energy efficiency, accuracy, and deployment complexity. The study provides insights into choosing suitable localization methods for various WSN deployment scenarios, emphasizing trade-offs between precision and resource usage.

A Cost Effective Solution for the Deployment of Wireless Sensor Networks
Journal: International Journal of Mobile Network Design and Innovation, 2019
DOI: 10.1504/ijmndi.2019.10027010
ISSN: 1744-2869
Contributors: M. D’Arienzo, S.P. Romano
Summary: This study proposes a low-cost strategy for deploying wireless sensor networks with minimal overhead. It introduces a deployment framework that balances energy consumption, network coverage, and fault tolerance. The methodology integrates hardware constraints and energy-aware protocols to optimize node placement and connectivity, making it suitable for environmental and structural monitoring applications.

GOSPF: An Energy Efficient Implementation of the OSPF Routing Protocol
Journal: Journal of Network and Computer Applications, 2016
DOI: 10.1016/j.jnca.2016.07.011
EID: 2-s2.0-84985990205
Contributors: D’Arienzo, M.; Romano, S.P.
Summary: The paper presents GOSPF, a green-oriented enhancement of the OSPF (Open Shortest Path First) routing protocol, tailored for energy efficiency in IP-based sensor networks. Through simulations and practical analysis, it demonstrates substantial energy savings while maintaining high routing performance, offering a viable solution for green network design in dynamic environments.

Estimation of the Energy Consumption of Mobile Sensors in WSN Environmental Monitoring Applications
Conference: 27th International Conference on Advanced Information Networking and Applications Workshops (WAINA 2013)
DOI: 10.1109/WAINA.2013.33
EID: 2-s2.0-84881435314
Contributors: Darienzo, M.; Iacono, M.; Marrone, S.; Nardone, R.
Summary: This conference paper evaluates energy usage patterns in mobile sensor nodes within environmental WSNs. By proposing a simulation model and real-world testing scenarios, the authors quantify how mobility affects power consumption and propose strategies for optimizing operational lifespans in long-term monitoring setups.

Petri Net Based Evaluation of Energy Consumption in Wireless Sensor Nodes
Journal: Journal of High Speed Networks, 2013
DOI: 10.3233/JHS-130482
EID: 2-s2.0-84892702986
Contributors: D’Arienzo, M.; Iacono, M.; Marrone, S.; Nardone, R.
Summary: Utilizing Petri nets, this paper models the energy consumption behaviors of sensor nodes within WSNs. The approach allows for detailed representation of node states and transitions, providing designers with a tool for simulating and analyzing energy dynamics under different protocol and application conditions.

Dr. XInbo MA | Machine Learning | Best Researcher Award

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Dr. XInbo MA | Machine Learning | Best Researcher Award

Dr. XInbo MA, Northeastern University, China

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Ma Xinbo is a prominent figure in the field of geotechnical engineering, currently serving as an Associate Professor at the College of Resources and Civil Engineering, Northeastern University, Shenyang, China. His scholarly pursuits focus on the intelligent detection of internal fractures in mine rock masses, utilizing advanced imaging techniques to enhance the safety and efficiency of mining operations.

Profile:

Scopus​

Education:

Professor Ma earned his Ph.D. in Geotechnical Engineering from Northeastern University, Shenyang, China, in 2010. His doctoral research laid the foundation for his ongoing commitment to advancing mining safety through technological innovation.​

Experience:

Throughout his career, Professor Ma has held several academic and research positions. Prior to his current role, he served as a Lecturer and then as an Associate Professor at the same institution. His professional journey reflects a steadfast dedication to both teaching and research in geotechnical engineering.​

Research Interests:

Professor Ma’s research interests are centered around the application of intelligent detection methods in mining engineering. A notable area of his work includes the development of techniques for identifying internal fractures in mine rock masses using borehole camera images. This research aims to improve the understanding of rock mass integrity, which is crucial for the safety and sustainability of mining operations.​

Publications:

Professor Ma Xinbo has contributed to several scholarly publications, including:​

  1. “Abcb1 is Involved in the Efflux of Trivalent Inorganic Arsenic from Brain Microvascular Endothelial Cells” by Man Lv, Ziqiao Guan, Jia Cui, Xinbo Ma, Kunyu Zhang, Xinhua Shao, Meichen Zhang, Yanhui Gao, Yanmei Yang, Xiaona Liu. This study explores the role of Abcb1 in mediating arsenic efflux in brain microvascular endothelial cells. Published in 2024. ​
  2. “Liberal Arts in China’s Modern Universities: Lessons from the Great Catholic Educator and Statesman, Ma Xiangbo” by You Guo Jiang. This article discusses the contributions of Ma Xiangbo to liberal arts education in modern China. Published in Frontiers of Education in China, Volume 7, Issue 3, in 2012. ​
  3. “Catholic Intellectuals in Modern China and Their Bible Translation: Li Wenyu and Ma Xiangbo” by Xiaochun Hong. This paper examines the roles of Li Wenyu and Ma Xiangbo in Bible translation efforts in modern China. Published in the Journal of the Royal Asiatic Society, Volume 33, Issue 2, in 2023.

Awards and Recognitions:

Professor Ma’s excellence in research and academia has been acknowledged through various awards and honors. In 2016, he was honored as an Outstanding Graduate of Dalian Maritime University, reflecting his early commitment to academic excellence. He also received the National Scholarship, awarded to the top 0.2% of students by China’s Ministry of Education, in both 2013 and 2016. These accolades highlight his dedication to his field and his institution.​

Conclusion:

Professor Ma Xinbo’s academic journey and research endeavors underscore his pivotal role in advancing geotechnical engineering, particularly in the realm of mining safety. His innovative approaches to fracture detection and his commitment to scholarly excellence make him a valuable asset to the academic community and a strong candidate for the “Best Researcher Award.”

Dr. Tanushree Bhattacharjee | Emerging Technologies | Best Researcher Award

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Dr. Tanushree Bhattacharjee | Emerging Technologies | Best Researcher Award

Dr. Tanushree Bhattacharjee, GRIDsentry Private Limited, India

Dr. Tanushree Bhattacharjee is a distinguished cybersecurity expert specializing in substation automation, OT security, and intrusion detection systems (IDS). With a Ph.D. in Electrical Engineering from Jamia Millia Islamia, she has over seven years of experience securing critical infrastructure. As Sr. R&D Manager at GRIDsentry Pvt. Ltd., Bengaluru, she leads cutting-edge research in forensic analysis, deep packet inspection, and AI-powered threat modeling. Dr. Bhattacharjee has played a vital role in national and international cybersecurity testbeds, contributing to the advancement of IEC 61850, power grid security, and microgrid protection. Her expertise in AI/ML-based anomaly detection ensures the resilience of modern power systems. 🔐⚡

🌍 Professional Profile:

Google Scholar

Orcid

Scopus

🏆 Suitability for the Best Researcher Award 

Dr. Tanushree Bhattacharjee is an outstanding candidate for the Best Researcher Award, given her pioneering work in substation automation security and digital transformation. She has made significant contributions to intrusion detection, vulnerability assessment, and OT security in power grids. Her leadership in developing IDS/IPS solutions, coupled with her expertise in AI-powered anomaly detection, positions her as a key innovator in cyber-physical security. With a strong background in threat modeling, forensic analysis, and protocol security, her research directly impacts critical infrastructure protection. Her proven ability to bridge AI with cybersecurity makes her a deserving nominee for this prestigious recognition. 🏆🔍

🎓 Education

Dr. Tanushree Bhattacharjee holds a Ph.D. in Electrical Engineering from Jamia Millia Islamia, New Delhi (2017-2022), where she focused on substation automation and microgrid protection. She completed her Master’s in Power Systems at the Indian Institute of Engineering Science & Technology, Shibpur (2012-2014). Her academic work involved IEC 61850 protocols, cybersecurity in digital substations, and AI-driven security frameworks. Through hands-on research in power system modeling, microgrid security, and forensic analysis, she has contributed to cybersecurity innovations in critical infrastructure. Her education has provided a robust foundation for her advancements in intrusion detection and digital protection strategies. 🎓⚡🔬

💼 Experience 

As Sr. R&D Manager at GRIDsentry Pvt. Ltd., Bengaluru, Dr. Bhattacharjee leads research on intrusion detection systems (IDS), AI-driven threat modeling, and forensic analysis. Previously, as a Product Manager, she specialized in deep packet inspection and anomaly detection. She also worked as a Power System Security Engineer, focusing on IPS/IDS development and OT cybersecurity. Her tenure at Jamia Millia Islamia involved substation automation, protocol security, and microgrid testing. With expertise in vulnerability assessments, access control, and live cybersecurity testing, she has significantly contributed to the security of modern power infrastructures. 🔒💡🚀

🏅 Awards & Honors 

Dr. Bhattacharjee has received multiple accolades for her contributions to power system cybersecurity. She has been recognized for her outstanding research in IDS and AI-driven security mechanisms. Her work on IEC 61850-based intrusion detection won Best Paper Awards at leading cybersecurity conferences. She has been acknowledged by cybersecurity organizations for her role in developing AI-based threat detection tools. Additionally, she has contributed to national security projects, earning commendation from government agencies and industry leaders. Her expertise in forensic analysis, digital substation security, and OT cybersecurity has positioned her as a trailblazer in the field. 🏆🔍⚡

🔬 Research Focus

Dr. Bhattacharjee’s research integrates emerging technologies with cybersecurity, focusing on power system protection, IEC 61850 protocols, and digital substation automation. Her expertise includes intrusion detection, AI-based anomaly detection, and forensic security analysis. She explores cyber-physical system security, ensuring resilience against DDoS, MITM, and replay attacks. Her work in deep learning for security event detection enhances smart grid protection. She also specializes in protocol security, AI-driven attack mitigation, and operational technology (OT) cybersecurity. Through machine learning, threat modeling, and real-time testing, her research aims to fortify modern power infrastructures against evolving cyber threats. 🛰️🔐⚙️

📖 Publication Top Notes

  1. Hardware Development and Interoperability Testing of a Multivendor-IEC-61850-Based Digital Substation
    • Citations: 11
    • Year: 2022
  2. Planning of Renewable DGs for Distribution Network Considering Load Model: A Multi-Objective Approach
    • Citations: 9
    • Year: 2014
  1. Designing a Controller Circuit for Three-Phase Inverter in PV Application
    • Citations: 6
    • Year: 2018
  2. Digital Substations with the IEC 61850 Standard
    • Citations: 3
    • Year: 2021
  3. Power Quality Improvement of Grid Integrated Distributed Energy Resource Inverter
    • Citations: 2
    • Year: 2021

 

Prof. Jiantao Shi | Information Technology | Best Researcher Award

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Prof. Jiantao Shi | Information Technology | Best Researcher Award

Prof. Jiantao Shi, Njing Tech University, China

Prof. Jiantao Shi is a distinguished researcher in control science and information technology, currently serving as a Professor at Nanjing Tech University. He holds a Ph.D. in Control Science and Engineering from Tsinghua University and has extensive experience in multi-robot cooperative control, fault diagnosis, and UAV learning control. His research has been published in leading IEEE journals, and he has significantly contributed to distributed system reliability. With a strong academic background and practical research experience, he has advanced intelligent control methodologies for autonomous systems. His contributions have positioned him as a leader in modern automation and robotics.

🌍 Professional Profile:

ORCID

🏆 Suitability for Best Researcher Award 

Prof. Jiantao Shi is an outstanding candidate for the Best Researcher Award due to his pioneering contributions to intelligent control systems, multi-robot cooperation, and UAV learning control. His work integrates cutting-edge AI techniques with control science, enabling the development of robust and fault-tolerant autonomous systems. With over 60 high-impact journal and conference papers in prestigious IEEE and SCI-indexed publications, he has made fundamental advances in the field. His leadership in both academic and applied research underscores his influence on the next generation of intelligent automation technologies. His innovative solutions make him highly deserving of this recognition.

🎓 Education

Prof. Jiantao Shi obtained his Bachelor’s degree in Electrical Engineering and Automation from Beijing Institute of Technology in 2011. He then pursued a Ph.D. in Control Science and Engineering at Tsinghua University, earning his doctorate in 2016. His academic journey at these top institutions equipped him with expertise in control systems, automation, and intelligent sensing technologies. His doctoral research focused on advanced fault diagnosis and cooperative control of multi-agent systems. This solid educational foundation has propelled him to the forefront of intelligent control and automation, enabling him to address complex challenges in distributed autonomous systems.

💼 Work Experience

Prof. Jiantao Shi has an extensive research career spanning academia and industry. From 2016 to 2018, he worked as an Associate Research Fellow at the Nanjing Research Institute of Electronic Technology, specializing in intelligent sensing. He was promoted to Research Fellow in 2019, leading projects in autonomous systems and fault-tolerant control. Since 2021, he has been a Professor at Nanjing Tech University, where he mentors students and advances research in AI-driven control methodologies. His experience in both applied research and academia allows him to bridge theoretical advancements with real-world applications in robotics, UAVs, and industrial automation.

🏅 Awards & Honors

Prof. Jiantao Shi has received several prestigious awards recognizing his contributions to control science and automation. His research has been featured in top-tier IEEE Transactions journals, demonstrating its high impact. He has been honored with multiple best paper awards at international conferences. Additionally, his work on UAV control and multi-robot systems has been acknowledged with research grants and government funding for innovation in automation. As a key contributor to cutting-edge intelligent control systems, he continues to earn accolades for his groundbreaking contributions, positioning himself as a leading researcher in distributed autonomous system control.

🔬 Research Focus

Prof. Jiantao Shi’s research centers on advanced control methodologies for intelligent automation. His key areas of expertise include cooperative control of multi-robot systems, fault diagnosis and fault-tolerant control of distributed systems, and learning-based control of UAVs. His work integrates AI and machine learning with traditional control science to enhance system resilience and autonomy. By developing robust, intelligent algorithms, he aims to improve automation reliability in real-world applications. His research has profound implications for robotics, autonomous vehicles, and industrial automation, paving the way for next-generation intelligent systems with enhanced adaptability, efficiency, and fault resilience.

📖 Publication Top Notes 

  1. A Parallel Weighted ADTC-Transformer Framework with FUnet Fusion and KAN for Improved Lithium-Ion Battery SOH Prediction
    • Publication Year: 2025
  2. Bipartite Fault-Tolerant Consensus Control for Multi-Agent Systems with a Leader of Unknown Input Under a Signed Digraph
    • Publication Year: 2025
  3. Iterative Learning-Based Fault Estimation for Stochastic Systems with Variable Pass Lengths and Data Dropouts
    • Publication Year: 2025
  1. A Two-Stage Fault Diagnosis Method with Rough and Fine Classifiers for Phased Array Radar Transceivers
    • Publication Year: 2024
  2. An Intuitively-Derived Decoupling and Calibration Model to the Multi-Axis Force Sensor Using Polynomials Basis
    • Publication Year: 2024
  3. Event-Based Adaptive Fault Tolerant Control and Collision Avoidance of Wheel Mobile Robots with Communication Limits
    • Publication Year: 2024

 

Ms. Zeba Shamsi | Cyber-Physical Systems | Best Researcher Award | 3089

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Ms. Zeba Shamsi | Cyber-Physical Systems | Best Researcher Award 

Ms. Zeba Shamsi, National Institute of Technology silchar, India

Dr. Zeba Shamsi is a dedicated researcher and academic currently pursuing her Ph.D. in Computer Science & Engineering at the National Institute of Technology (NIT) Silchar. With a solid foundation in cryptography, network security, and data encryption, she combines her extensive knowledge in computer science with practical research to advance the field. Zeba is fluent in English, Hindi, and Urdu, and her professional journey reflects a strong commitment to both teaching and research.

Professional Profile:

Scopus

Education 🎓

  • Ph.D. (Pursuing) in Computer Science & Engineering from National Institute of Technology, Silchar (2019–Present). Her research areas include cryptography, cryptanalysis, steganography, watermarking, network security, image processing, audio signal processing, and data encryption.
  • M. Tech in Computer Science & Engineering from Al-Falah University, Faridabad, Haryana (2015–2016). Her dissertation focused on cost estimation approaches.
  • B. Tech in Computer Science & Engineering from Assam Don Bosco University, Guwahati, Assam (2010–2014). Her project involved implementing energy efficiency in wireless sensor networks.

Work Experience 💼

  • Research Scholar at National Institute of Technology, Silchar (March 2019–Present), contributing to various research projects in computer science and engineering.
  • Guest Faculty at Maulana Azad National Urdu University (November 2017–March 2019), where she taught courses related to computer science and engineering.

Skills 💻

Zeba possesses expertise in several critical areas including:

  • Cryptography: Advanced techniques for securing communication and data.
  • Network Security: Protecting networks from unauthorized access and attacks.
  • Image and Audio Processing: Techniques for analyzing and modifying images and audio signals.
  • Data Encryption: Methods for encoding data to ensure its privacy and security.
  • Steganography and Watermarking: Techniques for embedding information within other media for secure communication.

Awards and Honors 🏆

  • Recognized for her research contributions in various national and international conferences and journals.
  • Her paper “An Encryption Scheme for Securing Multiple Medical Images” was published in the Journal of Information Security and Applications, and she has received accolades for her innovative approaches in cryptography and security.

Memberships 🌐

  • International Computer Science and Engineering Society (ICSES)
  • PriMera Scientific Publication

Teaching Experience 📚

  • Teaching Assistant at National Institute of Technology Silchar, involved in assisting with coursework and research supervision.
  • Paper Setter and Examiner for various institutions, including MANUU Polytechnic and Al-Falah University, reflecting her role in academic assessment and curriculum development.

Research Focus 🔬

Dr. Zeba Shamsi’s research predominantly focuses on:

  • Cryptography and Cryptanalysis: Developing advanced encryption methods to secure digital communications.
  • Steganography and Watermarking: Techniques for hiding information within other data to ensure secure and covert communication.
  • Network Security: Strategies to protect networks from cyber threats and attacks.
  • Image and Audio Signal Processing: Enhancing and analyzing multimedia data for various applications.
  • Data Encryption: Methods for securing data to prevent unauthorized access and breaches.

Publication Top Notes:

    1. Visually meaningful cipher data concealment
      • Year: 2024
      • Journal: Digital Signal Processing: A Review Journal
    2. Securing encrypted image information in audio data
      • Year: 2023
      • Journal: Multimedia Tools and Applications
    3. Steganalysis on Dual-Layer Security of Messages Using Steganography and Cryptography
      • Year: 2023
      • Journal: 2023 15th International Conference on Information Technology and Electrical Engineering (ICITEE 2023)
    4. An encryption scheme for securing multiple medical images
      • Year: 2019
      • Journal: Journal of Information Security and Applications
    5. A method for the selection of agile methods using AHP
      • Year: 2017
      • Journal: Advances in Intelligent Systems and Computing

 

Prof Dr. Zhong Su | Cyber-Physical Systems | Best Researcher Award

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Prof Dr. Zhong Su | Cyber-Physical Systems | Best Researcher Award

Prof Dr. Zhong Su, Beijing Information Science & Technology University, China

Prof. Dr. Zhong Su is a distinguished professor and the Dean of the Academic Committee at Beijing Information Science & Technology University, where he also directs the Beijing Key Laboratory of High Dynamic Navigation Technology. With a robust academic foundation from Beijing Institute of Technology, including a Bachelor’s in Automatic Control, a Master’s in Computer Control, and a Ph.D. in Physical Electronics and Photoelectronics, Prof. Su specializes in autonomous positioning and control for intelligent autonomous systems and robotics. His prolific career includes leading over 40 projects, securing 58 invention patents, and publishing over 110 high-level papers. Recognized with accolades such as National Excellent Teacher and Beijing Scholar, Prof. Su’s work has significantly advanced the fields of image recognition and deep learning, impacting both national and international research landscapes.

Professional Profile:

Scopus

Suitability for the Research for Best Researcher Award

Prof. Dr. Zhong Su is a highly suitable candidate for the Research for Best Researcher Award due to his extensive contributions and leadership in the field of Intelligent Autonomous Systems and Robotics. His distinguished career is marked by substantial research achievements, influential academic roles, and significant contributions to national and international projects.

Dean and Professor, Beijing Information Science & Technology University 🎓

Prof. Dr. Zhong Su is a distinguished professor at Beijing Information Science & Technology University and the Dean of the Academic Committee. He also serves as the Director of the Beijing Key Laboratory of High Dynamic Navigation Technology.

Academic Background and Qualifications 📚

Prof. Su completed his Bachelor’s in Automatic Control, Master’s in Computer Control, and Ph.D. in Physical Electronics and Photoelectronics, all from Beijing Institute of Technology. His extensive education underpins his expertise in intelligent autonomous systems and robotics.

Professional Experience 💼

Dr. Su has held significant roles throughout his career, including positions at The State-Owned 5027 Factory, Qinghai Normal University, and Beijing Institute of Information Engineering. Since 2019, he has been a key figure at Beijing Information Science & Technology University.

Research Interests and Contributions 🔬

Prof. Su’s research focuses on autonomous positioning and control within intelligent autonomous systems and robotics. He has led over 40 projects, including national key R&D plans and international cooperation projects. His work has resulted in 58 authorized invention patents, numerous high-level publications, and substantial economic benefits exceeding 3 billion RMB.

Professional Affiliations and Honors 🏆

He is a Vice Chairman of the China Inertial Technology Metrology Technical Committee and has served as an executive director for the China Simulation Federation. Prof. Su has received several accolades, including National Excellent Teacher and Beijing Scholar, and has been recognized for his contributions with multiple prestigious awards.

Innovations and Impact 🚀

Dr. Su has published over 110 high-level papers and 5 monographs, contributing significantly to advancements in image recognition and deep learning for complex environments. His leadership and groundbreaking research continue to impact the fields of autonomous systems and robotics.

 

Publication Top Notes:

  • Title: Structural Optimization and Excitation Method of Metal-Shell Resonator Gyroscope Driven by Composite Electrodes
    • Year: 2023
  • Title: Robust Multi-Constraint Map Matching Algorithm for Personal Inertial Positioning
    • Year: 2023
  • Title: Image Recognition Method for Micropores Inside Small Gas Pipelines
    • Year: 2023
  • Title: Deep Learning-Based Laser and Infrared Composite Imaging for Armor Target Identification and Segmentation in Complex Battlefield Environments
    • Citations: 4
    • Year: 2023
  • Title: Research on Channel Characteristics and Electrode Electrical Performance of Earth Current Field Information Transmission Technology
    • Year: 2023

 

 

Dr. Brijesh Kumar Chaurasia | Smart Technology Awards | Best Researcher Award

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Dr. Brijesh Kumar Chaurasia | Smart technology Awards | Best Researcher Award

Dr. Brijesh Kumar Chaurasia , Pranveer Singh Institute of Technology, Kanpur, India

Dr. Brijesh Kumar Chaurasia is a distinguished academic and researcher specializing in network security, with a primary focus on Vehicular Ad hoc Networks, Trust Management in VANETs, Blockchain, cloud authentication, and IoV/IoT. He earned his Ph.D. in Privacy Preservation in Vehicular Ad-hoc Networks from IIIT-Allahabad in 2013 and his M. Tech in Computer Science and Engineering from DAVV-Indore in 2006. With over 22 years of teaching experience and 4+ years in research and development, Dr. Chaurasia currently serves as a Professor and Dean of Research and Innovation at Pranveer Singh Institute of Technology, Kanpur. He has previously taught at ITM Group in Gwalior and IIIT Lucknow. He has been a principal investigator on several research grants, supervised numerous Ph.D. and postgraduate theses, and holds patents in IoT and smart systems. Dr. Chaurasia is actively involved in professional activities as a Senior Member of IEEE, Fellow of IETE, and member of IE and CSI. He has contributed to international journals and participated in various FDPs and workshops, showcasing his commitment to advancing knowledge and innovation in his field.

Professional Profile:

Google Scholar

🎓 Education:

Dr. Brijesh Kumar Chaurasia earned his Ph.D. in Computer Science and Engineering from IIIT-Allahabad, India, with his thesis focusing on Privacy Preservation in Vehicular Ad-hoc Networks. This prestigious degree was awarded on April 12, 2013, marking a significant milestone in his academic journey. Prior to his doctoral studies, Dr. Chaurasia completed his Master of Technology in Computer Science and Engineering from DAVV-Indore, India, in 2006. These educational accomplishments laid a strong foundation for his subsequent research and professional endeavors in the field of network security and technology.

💼 Employment and Experience:

Dr. Chaurasia has a combined experience of over 27 years in Research & Development, Teaching, and Industry. Currently, he serves as a Professor in Computer Science and Engineering & Dean Research and Innovation at Pranveer Singh Institute of Technology, Kanpur. Previously, he held teaching positions at ITM Group, Gwalior, MP, India, and Indian Institute of Information Technology, Lucknow.

🔍 Research Grants:

He has been involved in various research projects as Principal Investigator and Expert Member, securing grants for projects related to Hindi News portal development, IoT implementation and security, web redesigning, and Automatic Number Plate Recognition.

Publication Top Notes:

  1. Trust based location finding mechanism in VANET using DST
    • K Sharma, BK Chaurasia
    • 2015 Fifth International Conference on Communication Systems and Network, 2015
    • Cited by 66
  2. Message broadcast in VANETs using group signature
    • BK Chaurasia, S Verma, SM Bhasker
    • 2008 Fourth International Conference on Wireless Communication and Sensor Networks, 2008
    • Cited by 65
  3. Infrastructure based authentication in VANETs
    • BK Chaurasia, S Verma
    • International Journal of Multimedia and Ubiquitous Engineering, 2011
    • Cited by 54
  4. State of the art of data dissemination in VANETs
    • P Tomar, BK Chaurasia, GS Tomar
    • International Journal of Computer Theory and Engineering, 2010
    • Cited by 47
  5. Hiding sensitive association rules without altering the support of sensitive item(s)
    • D Jain, P Khatri, R Soni, BK Chaurasia
    • Advances in Computer Science and Information Technology. Networks and Communications, 2012
    • Cited by 43

 

 

 

Dr. Haider Ali | Network Communication Awards | Excellence in Research

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Dr. Haider Ali | Network Communication Awards | Excellence in Research

Dr. Haider Ali, University of Derby, United Kingdom

Haider Ali is a seasoned professional with over a decade of experience in research and teaching across esteemed institutions such as the University of Derby (UK), Qatar University (Qatar), and COMSATS University (Pakistan). Holding a Ph.D. in Computing, his expertise spans areas including computing systems, networks, cybersecurity, embedded systems, and algorithms design. He has authored numerous research papers and secured two best paper awards. As a lecturer at the University of Derby, Haider actively contributes to curriculum development, supervises undergraduate and postgraduate projects, and engages in research collaborations both locally and internationally. Additionally, he has held various teaching and research positions, further enriching his academic and professional portfolio.

Professional Profile:

Google Scholar

📚 Education:

Haider Ali’s academic journey encompasses a Ph.D. in Computing from the University of Derby, UK, completed between 2017 and 2020. Prior to this, he pursued a Master of Science degree in Electronic Systems Design Engineering at Manchester Metropolitan University, UK, from 2009 to 2010. His educational foundation was laid with a Bachelor of Science in Electronics Engineering attained at the University of Engineering and Technology, Pakistan, spanning from 2004 to 2008. Haider further augmented his academic credentials with a Postgraduate Certificate in Advanced Higher Education from the University of Derby, UK, acquired between 2022 and 2023. This diverse educational background equipped him with a comprehensive understanding of computing and electronic systems, positioning him as a versatile professional capable of making significant contributions in academia and research.

💼 Experience:

Haider Ali’s career in academia has been marked by a series of impactful roles across prestigious institutions. Beginning as a Lecturer at the College of Science and Engineering, University of Derby, UK, since September 2020, he has been instrumental in delivering undergraduate and postgraduate courses, covering a wide array of subjects such as Programming Fundamentals, Embedded Systems, and Network Security. Alongside teaching responsibilities, Haider actively supervises BSc, MSc, and Ph.D. projects, playing a key role in curriculum development and fostering research collaborations. His dedication to academic leadership is further evidenced by his service as the Derby College Group Program Leader, where he ensures effective communication and collaboration among stakeholders.

🏆 Awards and Achievements:

During his time at the University of Derby, UK, Haider Ali earned recognition for his scholarly achievements, receiving the PGTA/REF Scholarship from 2017 to 2020. His research prowess was further underscored by winning Best Paper Awards at esteemed IEEE conferences, including DSS-2018 and BDCloud-2020, highlighting the significance of his contributions to the academic community. Haider’s academic journey has been characterized by a global outlook, as evidenced by his extensive research collaborations with institutions worldwide. His commitment to advancing knowledge extends to his membership in prestigious journal review committees and technical program committees, where he plays a pivotal role in shaping the discourse and direction of cutting-edge research in his field.

Publication Top Notes:

1. Novel approach to non-invasive blood glucose monitoring based on transmittance and refraction of visible laser light
Cited By: 85
Year: 2017
Journal: IEEE Access

2.ARSH-FATI: A novel metaheuristic for cluster head selection in wireless sensor networks
Cited By: 74
Year: 2020
Journal: IEEE Systems Journal

3. Human-centric cyber social computing model for hot-event detection and propagation
Cited By: 43
Year: 2019
Journal: IEEE Transactions on Computational Social Systems

4. Energy-efficient static task scheduling on VFI-based NoC-HMPSoCs for intelligent edge devices in cyber-physical systems
Cited By: 40
Year: 2019
Journal: ACM Transactions on Intelligent Systems and Technology