Ali Naqi | Satellite Communication | Excellence in Research Award

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Mr. Ali Naqi | Satellite Communication | Excellence in Research Award

Researcher | Xidian University | China

Mr. Ali Naqi is an emerging researcher in the domain of wireless communications, specializing in LEO (Low Earth Orbit) satellite networks, non-terrestrial networks (NTNs), beam and mobility management, and power and resource allocation. His research primarily focuses on enhancing the performance, reliability, and efficiency of next-generation communication systems, particularly in the context of 6G networks. In his recent work, “Performance Evaluation of Multi-shell LEO Satellite Constellations in 6G Communication Systems,” he has investigated the design and optimization of multi-layered satellite constellations, analyzing key performance metrics such as connectivity, latency, and spectral efficiency. His contributions address critical challenges in beam management and mobility tracking for fast-moving satellite systems, offering solutions for efficient resource allocation and network resilience. Through rigorous modeling, simulation, and performance analysis, Mr. Naqi has demonstrated an ability to bridge theoretical frameworks with practical network implementations, contributing to the advancement of high-capacity, low-latency communication infrastructures. His work not only provides insights for the design of sustainable and scalable LEO satellite networks but also informs strategies for integrating terrestrial and non-terrestrial systems to achieve ubiquitous global connectivity. Collaborating with international researchers, he has produced high-impact publications that advance knowledge in wireless communication technologies and next-generation satellite systems. Overall, Mr. Ali Naqi’s research reflects a strong combination of innovation, technical expertise, and strategic relevance, establishing him as a significant contributor to the field and a worthy candidate for recognition in research excellence.

Profile: ORCID

Featured Publication

Li, W., Naqi, A., Zhai, X., Hassan, S. U., & Yiquan, Z. (2025). Performance evaluation of multi-shell LEO satellite constellations in 6G communication systems. Journal of Information and Intelligence.

 

Mr. Sergei Volvenko | Telecommunication | Best Researcher Award

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Mr. Sergei Volvenko | Telecommunication | Best Researcher Award

Mr. Sergei Volvenko | The Great St. Petersburg Polytechnical University | Russia

Sergei Volvenko 🎓🔬 is a Senior Researcher at Peter the Great St. Petersburg Polytechnic University, specializing in telecommunication systems, meteor burst communications, and network information technology. With a career spanning over two decades, he has contributed significantly to research, teaching, and international collaborations in space technology 🚀. His expertise extends to digital signal processing, nonorthogonal multifrequency signals, and SEFDM waveform optimization. Volvenko has played a key role in managing R&D projects, fostering academic partnerships, and enhancing telecommunication education 📡. His research has been published in leading journals, making him a prominent figure in the field.

Professional Profile:

SCOPUS

Suitability for Best Researcher Award

Sergei Volvenko is an exceptional candidate for the Best Researcher Award, given his extensive contributions to the field of telecommunication systems and meteor burst communications. With over two decades of research and academic experience, he has demonstrated a profound impact on both theoretical advancements and practical applications. His expertise in digital signal processing, SEFDM waveform optimization, and nonorthogonal multifrequency signals makes him a leading innovator in network information technology.

Education & Experience

  • 🎓 Tomsk State University – Graduated in Radiophysics and Electronics (1988–1995)
  • 🎓 St. Petersburg State Technical University – Master’s in Digital Signal Processing (1992–1994)
  • 🎓 St. Petersburg State Technical University – Research Student (1995–1997)
  • 🎓 St. Petersburg State Technical University – Ph.D. in Meteor Burst Communication Systems (1997–2000)
  • 📡 Telecommunications Engineer – Karaganda Metallurgical Plant, Kazakhstan (1995)
  • 🔬 Electronics Engineer – St. Petersburg State Technical University (2000–2001)
  • 💻 Computer Programmer – St. Petersburg State Technical University (2001–2002)
  • 🎤 Assistant Lecturer – St. Petersburg State Polytechnic University (2002–2007)
  • 👨‍🏫 Associate Professor – Peter the Great St. Petersburg Polytechnic University (2007–2020)
  • 🚀 Senior Researcher – Peter the Great St. Petersburg Polytechnic University (2020–Present)

Professional Development

Sergei Volvenko has been instrumental in advancing telecommunication technologies 📶, with a focus on research, education, and industry collaboration. As a university professor and researcher, he has designed and taught key courses on network information technology, electric communication networks, and telecommunication fundamentals 📖. His expertise in meteor burst communication systems and spectral efficiency has led to impactful research publications 📑. Volvenko is also engaged in international cooperation in space technology, working with global institutions to develop cutting-edge solutions 🚀. His technical proficiency extends to signal processing, software engineering, and project management, making him a key contributor in the field.

Research Focus

Sergei Volvenko specializes in telecommunication networks, digital signal processing, and meteor burst communication systems 📡. His research explores nonorthogonal multifrequency signals, SEFDM waveform optimization, and coherent detection algorithms 🔬. He has developed simulation models for efficient data transmission and contributed to the advancement of frequency division multiplexing systems 📊. His work is particularly relevant in improving spectral efficiency and network performance, making significant contributions to radio communication, information security, and space technology applications 🌍. Through his research, Volvenko has influenced the development of advanced modulation techniques, low-latency communication protocols, and high-efficiency transmission systems.

Awards & Honors

🏆 Research Excellence Award – Recognized for contributions to meteor burst communication research
🏅 Best Paper Award – Presented at an international telecommunication conference
📜 Distinguished Teaching Award – Honored for excellence in engineering education
🎖️ Innovation Grant – Received funding for advancements in spectral-efficient communication
🌍 International Collaboration Award – Recognized for fostering global research partnerships

Publication Top Notes:

📚 “Quantized Kernel Recursive q-Rényi-like Algorithm” (2025) – 1️⃣ citation 📊
📡 “Application of Convolutional Neural Networks Trained on Optical Images for Object Detection in Radar Images” (2024) – 3️⃣ citations 🎯
📶 “Prototype Filter Design for Effectively Suppressing Out-of-Band Radiation in GFDM Systems” (2023) – 9️⃣ citations 📡
📡 “Evaluation of the Transmission Efficiency of Multi-Frequency Signals with an Unknown Initial Phase in the Meteor Burst Communication System” (Year N/A) – 3️⃣ citations 🔄

 

Mr. Md Abu Huraiya | Sensor Networking | Young Scientist Award

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Mr. Md Abu Huraiya | Sensor Networking | Young Scientist Award

Mr. Md Abu Huraiya, BRAC University, Bangladesh

Md Abu Huraiya is a passionate researcher in Electrical and Electronic Engineering, with expertise in photonic crystal fibers (PCF), surface plasmon resonance (SPR), microelectromechanical systems (MEMS), and surface acoustic wave (SAW) sensors. He earned his B.Sc. from Rajshahi University of Engineering & Technology (RUET) and currently serves as a Research Assistant at BRAC University. His research focuses on developing high-sensitivity optical and MEMS-based sensors, integrating Machine Learning (ML) for enhanced performance. Proficient in COMSOL Multiphysics, he has contributed to cutting-edge simulations for perovskite solar cells and biosensors. Additionally, he leads Academia Research Group, mentoring students in computational modeling and sensor development. With a strong academic foundation, hands-on expertise, and multiple research publications, Md Abu Huraiya aims to revolutionize sensor networks and photonics with advanced data analytics. His dedication to scientific innovation and education makes him a promising young researcher in the field.

🌐 Professional Profile

Google Scholar

🏆 Suitability for Young Scientist Award 

Md Abu Huraiya is an excellent candidate for the Young Scientist Award, given his groundbreaking contributions to sensor networks, photonic crystal fibers (PCF), and MEMS-based sensors. His research in SPR-based biosensors for medical diagnostics and perovskite solar cells for renewable energy highlights his ability to tackle real-world problems with cutting-edge technology. His expertise in COMSOL Multiphysics simulations has led to significant advancements in sensor design, with a focus on enhanced sensitivity and efficiency. Additionally, his leadership as the founder of Academia Research Group demonstrates his commitment to knowledge sharing and mentorship. His interdisciplinary approach, incorporating Machine Learning (ML) into sensor technology, sets him apart as an innovative researcher. With a solid track record of academic excellence, hands-on research experience, and impactful publications, he exemplifies the qualities of a young scientist driving technological advancements for a sustainable future.

🎓 Education 

Md Abu Huraiya holds a B.Sc. in Electrical and Electronic Engineering from Rajshahi University of Engineering & Technology (RUET), Bangladesh, graduating in May 2024. During his academic journey, he developed a strong foundation in photonic sensors, MEMS, and renewable energy technologies. His coursework covered optical fiber communication, signal processing, semiconductor devices, and nanotechnology. He has actively participated in research on SPR-based biosensors, PCF designs, and perovskite solar cells, gaining hands-on experience with simulation tools like COMSOL Multiphysics and MATLAB. His ability to bridge theoretical knowledge with practical applications has enabled him to contribute to high-impact research. His continuous learning mindset is evident in his certifications in radar and satellite communication and electric machines, enhancing his expertise in electromagnetic wave propagation and sensor technologies. His strong academic background and research acumen position him as a rising star in the field of Electrical and Electronic Engineering.

👨‍🔬 Research & Professional Experience 

Md Abu Huraiya is a Research Assistant at BRAC University (2024 – Present), working on perovskite solar cells, PCF-based SPR sensors, MEMS-based SAW sensors, and optical switches. His role involves designing high-sensitivity biosensors, optimizing perovskite solar cell efficiency, and leveraging Machine Learning (ML) for sensor performance improvement. He is skilled in COMSOL Multiphysics for sensor simulation and analysis.

Additionally, he founded Academia Research Group (2024 – Present), where he mentors students in COMSOL-based simulations for PCF-based SPR sensors and solar cells. He also runs a YouTube channel that provides educational content on computational modeling.

His research expertise spans nanophotonics, sensor development, and MEMS. With his innovative mindset, hands-on experience, and leadership, he is making impactful contributions to the field of sensor networks and optoelectronic devices.

🏅 Awards & Honors 

Md Abu Huraiya has received several awards and recognitions for his academic excellence and extracurricular achievements:

  1. 🏆 Thana-Level Examination Winner – Secured first prize in a highly competitive academic examination.
  2. 🏏 Cricket Championship Winner – Demonstrated teamwork and leadership as part of the winning short-pitch cricket team.
  3. 📜 Radar and Satellite Communication Certificate – Certified in advanced radar and satellite communication techniques by RUET.
  4. ⚡ Electric Machines Certification – Completed a specialized course on transformers, DC machines, and AC machines, enhancing his technical knowledge.

His ability to balance academic excellence with leadership in sports and research makes him a well-rounded candidate for prestigious awards.

🔬 Research Focus 

Md Abu Huraiya’s research primarily revolves around sensor networks, photonic crystal fibers (PCF), surface plasmon resonance (SPR), microelectromechanical systems (MEMS), photonics, and machine learning applications.

  1. PCF-based SPR Sensors – Developing high-sensitivity biosensors for medical diagnostics and environmental monitoring.
  2. MEMS-based SAW Sensors – Innovating acoustic wave sensors for precise measurements in healthcare and industrial applications.
  3. Perovskite Solar Cells – Enhancing the efficiency of lead-free perovskite solar cells using COMSOL-based simulations.
  4. Machine Learning (ML) in Sensor Optimization – Integrating AI-driven data analysis to improve sensor accuracy.
  5. Optical Switches – Designing advanced optical switching mechanisms for next-generation photonics.

His interdisciplinary approach to sensor technology, photonics, and AI-driven optimizations is shaping the future of smart and efficient sensor networks.

Publication Top Notes:

  • Title: New Approach for a Highly Sensitive V-Shaped SPR Biosensor for a Wide Range of Analyte RI Detection
    • Year: 2024
    • Citations: 5
  • Title: Ultra-sensitive Refractive Index Detection with Gold-Coated PCF-Based SPR Sensor
    • Year: 2024
    • Citations: 4
  • Title: Highly Optimized and Sensitive Bowtie Shape-Based SPR Biosensor for Different Analyte Detection
    • Year: 2025
    • Citations: 2
  • Title: A Circular Shaped SPR PCF Biosensor Based on External Sensing Mechanism
    • Year: 2024
    • Citations: 2
  • Title: Highly Sensitive X-Shaped SPR Biosensor for a Wide Range of Detection
    • Year: 2024
    • Citations: 2

 

 

Mr. JeongHun Woo | Network Services | Excellence in Research

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Mr. JeongHun Woo | Network Services | Excellence in Research

Mr. JeongHun Woo, Changwon National University, South Korea

Mr. JeongHun Woo is a dedicated researcher specializing in Network Services, Wireless Networks, and Streaming Optimization. He completed his education at Changwon National University, South Korea, and has been actively involved in cutting-edge research projects, particularly in AI-based optimization and predictive analytics. His work on Yard Image AI Recognition for logistics optimization resulted in a technology patent, showcasing his innovative contributions to industrial applications. Additionally, his 2023 first-author publication on adaptive bitrate algorithms and bandwidth prediction has significantly enhanced video streaming quality. His ongoing research on CNC tool replacement cycle prediction highlights his expertise in applying machine learning to industrial automation. With a strong foundation in AI-driven network optimizations and industrial predictive modeling, Mr. Woo continues to push technological boundaries, contributing valuable insights to academia and industry. His research excellence makes him a key player in advancing intelligent network systems. 📡📶🔬

🌏 Professional Profile

Google Scholar

🏆 Suitability for Award 

Mr. JeongHun Woo’s outstanding contributions to network optimization, AI-driven prediction models, and wireless communication technologies make him a strong candidate for the Excellence in Research Award. His groundbreaking work in adaptive video streaming algorithms has significantly improved the Quality of Experience (QoE) in streaming services, addressing critical issues in network bandwidth prediction. His Smart Yard AI project, which optimizes industrial logistics through image recognition, showcases his ability to bridge academic research with real-world applications. The issuance of a technology patent from his research further validates the impact of his work. His ongoing research on predictive maintenance for CNC machine tools highlights his versatility in applying AI-driven methodologies to industrial automation and smart manufacturing. His ability to produce innovative, high-impact research across wireless networks, AI, and predictive analytics sets him apart as a leading researcher in his field. 🏆📡📊

🎓 Education 

Mr. JeongHun Woo pursued his education at Changwon National University, South Korea, where he developed a strong foundation in Network Services, Wireless Communication, and AI-Driven Optimization. His academic journey equipped him with expertise in machine learning applications, network bandwidth prediction, and industrial AI integration. Throughout his education, he focused on research-driven problem-solving, contributing to the development of streaming optimization algorithms and predictive analytics for industrial automation. His exposure to AI-powered logistics and wireless technologies has positioned him as an emerging expert in intelligent network solutions. His academic background not only fueled his passion for research but also enabled him to lead innovative projects such as AI-based yard logistics optimization and CNC machine tool lifecycle prediction. With a strong interdisciplinary approach, his education has played a crucial role in shaping his research excellence and industry-driven solutions. 🎓📚🔍

👨‍🔬 Experience

Mr. JeongHun Woo has been deeply engaged in research projects that integrate AI, wireless communication, and industrial automation. He played a key role in the Smart Yard Industry-Academic Cooperation Project (2022), where he developed an AI-based image recognition system to optimize logistics and process flow in industrial yards. This work led to the successful issuance of a technology patent, reinforcing his contributions to real-world AI applications.

In 2023, he authored a research paper focusing on adaptive bitrate algorithms and bandwidth prediction for enhanced video streaming experiences. His work in network bandwidth prediction using gated recurrent unit models demonstrated his expertise in machine learning-driven optimizations. Currently, he is working on predicting CNC machine tool replacement cycles, leveraging AI for predictive maintenance in smart manufacturing. His diverse experience across network systems, industrial AI applications, and streaming optimizations showcases his strong research acumen and technological impact. 🏭📡🤖

🏆 Awards and Honors 

Mr. JeongHun Woo has been recognized for his pioneering research in wireless networks, AI-driven optimization, and industrial analytics. His Smart Yard AI Recognition project led to the issuance of a technology patent, highlighting the innovative real-world impact of his research. His 2023 first-author publication on adaptive bitrate streaming and bandwidth prediction has been widely acknowledged in the field of wireless networks and multimedia communication.

He has been actively involved in industry-academic collaborative projects, leading groundbreaking research that merges AI with industrial automation. His contributions to predictive analytics for CNC machine tool maintenance have positioned him at the forefront of smart manufacturing and AI-driven optimization. Through his patented technology, high-impact publications, and ongoing research in predictive maintenance, Mr. Woo has demonstrated exceptional excellence in research, making him a deserving candidate for the Research for Excellence in Research Award. 🏆📜🚀

🔬 Research Focus 

Mr. JeongHun Woo’s research revolves around Network Services, Wireless Networks, Streaming Optimization, and AI-driven Industrial Automation. His work is at the intersection of machine learning, predictive analytics, and real-world network applications.

His key research areas include:

✅ Streaming Optimization: Developing buffer-based adaptive bitrate algorithms to improve the Quality of Experience (QoE) for video streaming.
✅ AI for Industrial Automation: Leading AI-driven logistics optimization through yard image recognition and predictive maintenance in smart manufacturing.
✅ Wireless Networks & Bandwidth Prediction: Utilizing deep learning (Gated Recurrent Unit models) for accurate network bandwidth forecasting.
✅ Predictive Maintenance: Researching CNC machine tool lifecycle prediction to enhance manufacturing efficiency and reduce downtime.

His interdisciplinary approach combining network optimizations, AI, and industrial analytics makes him a key contributor to next-generation intelligent systems. 🌍📶📊

📚 Publication Top Notes:

Title: Improving the Quality of Experience of Video Streaming Through a Buffer-Based Adaptive Bitrate Algorithm and Gated Recurrent Unit-Based Network Bandwidth Prediction
Published Year: 2024

 

 

Assist Prof Dr. Rukaiya | MAC Protocol | Best Researcher Award

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Assist Prof Dr. Rukaiya | MAC Protocol | Best Researcher Award

Assist Prof Dr. Rukaiya, Sir Syed University of Engineering and Technology, Pakistan

🎓 Dr. Rukaiya holds a Ph.D. in Computer Engineering from the National University of Sciences & Technology (NUST), Islamabad, Pakistan, where she was awarded the HEC Indigenous Scholarship. Prior to her doctoral studies, she completed an M.S. in Computer Networks and earned her B.S. in Computer Engineering with distinction from Sir Syed University of Engineering and Technology (SSUET), Karachi, Pakistan. 💼 Dr. Rukaiya has held various teaching and research positions at SSUET, starting as a Junior Lecturer and progressing to her current role as Assistant Professor. Her research interests span a wide range of areas including MAC and Routing protocols, Wireless Ad hoc Networks, SDR-based Networks, and Cybersecurity. 🏅 She has made significant contributions to her field, serving as a Session Chair and Secretary at prestigious conferences, delivering talks at workshops and webinars, and acting as a reviewer for esteemed journals and conferences like IEEE Access and PLOS-One. Dr. Rukaiya is actively involved in organizing workshops and events related to research and technology and is affiliated with notable professional organizations including the Higher Education Commission (HEC) and the Pakistan Engineering Council (PEC). 📚

🌐 Professional Profile:

Linkedin

Orcid

🎓 Education:

  • Ph.D. in Computer Engineering, National University of Sciences & Technology (NUST), Islamabad, Pakistan, 2017-2022 (HEC Indigenous Scholarship).
  • M.S. in Computer Networks, Sir Syed University of Engineering and Technology (SSUET), Karachi, Pakistan, 2012-2015.
  • B.S. in Computer Engineering (Gold Medallist), SSUET, Karachi, Pakistan, 2007-2011.

💼 Employment History – Teaching and Research:

  • Assistant Professor at SSUET, Karachi (March 2023 – Present).
  • Lecturer at SSUET, Karachi (Feb 2016 – March 2023).
  • Team Lead, Manager Industrial Linkages, Research Associate at SSUET, Karachi.
  • Junior Lecturer at SSUET, Karachi (Aug 2011 – Jan 2016).

🔬 Research Interests:

MAC and Routing protocols, Wireless Ad hoc Networks, SDR-based Networks, Cybersecurity, and more.

🏅 Contribution & Recognition:

  • Session Chair at IEEC’23.
  • Session Secretary at IMTIC’23.
  • Session Speaker/Trainer at various workshops and webinars.
  • Reviewer for IEEE Access, PLOS-One, and other conferences.
  • Organizer of workshops and events related to research and technology.

📚 Professional Affiliations:

  • Higher Education Commission (HEC), Pakistan.
  • Pakistan Engineering Council (PEC).
  • Institute of Electrical & Electronics Engineers Pakistan.

Publication Top Notes:

  • A Sequence Mining-Based Novel Architecture for Detecting Fraudulent Transactions in Healthcare Systems
    • Published in IEEE Access.
    • Year: 2022
  • CFFD-MAC: A Hybrid MAC for Collision Free Full-Duplex Communication in Wireless Ad-Hoc Networks
    • Published in IEEE Access.
    • Year: 2021
  • Need-Based and Optimized Health Insurance Package Using Clustering Algorithm
    • Published in Applied Sciences.
    • Year: 2021
  • Self-Forming Multiple Sub-Nets Based Protocol for Tactical Networks Consisting of SDRs
    • Published in IEEE Access.
    • Year: 2020

 

 

 

 

Mr. Permvir Singh | Wireless Communication | Best Researcher Award

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Mr. Permvir Singh : Wireless Communication

Mr. Permvir Singh, Rohde & Schwarz, India

✨ Mr. Permvir Singh is an accomplished senior lead engineer with a wealth of expertise in wireless communication, boasting a versatile skill set encompassing planning, design, and implementation. 🌐 With a postgraduate qualification in 5G mobile communication technology, he exhibits a profound understanding of cutting-edge technologies. His passion extends to digital signal processing, antennas and propagation, intelligent wireless systems, and satellite communications, showcasing a comprehensive grasp of diverse facets in the field. 📡🚀 Mr. Singh brings thirteen years of dedicated experience in the mobile communication industry, excelling in hands-on technical work on wireless equipment and software platforms. 📲 His commitment to continuous learning and professional development, coupled with a genuine interest in research in both terrestrial and non-terrestrial communications, positions him as a dynamic and forward-thinking professional in the ever-evolving world of wireless technology. 📶

Mr. Permvir Singh’s professional journey is marked by a wealth of experience and technical expertise in the dynamic field of wireless communication. 🌐 Currently serving as a Senior Lead Engineer at Rohde & Schwarz, India, since September 2021, he has been instrumental in testing and integrating RF FR1 and FR2 3GPP test cases on Rohde & Schwarz setups, demonstrating a deep understanding of industry standards. 📶 Mr. Singh actively contributes to enhancing interoperability between LTE and 5G NR (NSA) and is involved in creating, updating, and reviewing test documents using 3GPP specifications. 🛠️ His role also involves investigating, explaining, and reporting UE or network errors, showcasing his problem-solving acumen and collaborative spirit with cross-functional teams. 🤝

During his tenure as a Research Project Intern at Viavi Solutions, United Kingdom, Mr. Singh showcased his research capabilities by designing and implementing antennas for Over-The-Air (OTA) RF performance testing of gNBs at sub 6GHz frequency range. 📡 Additionally, he developed an automation tool in MATLAB to streamline the automatic generation of XML files from a database containing 5G protocol parameters, demonstrating a combination of technical prowess and innovation. 🛠️🔍

His prior experience as a Radio Access Network Engineer at Ericsson India Pvt. Ltd., India, involved the integration and commissioning of Ericsson Base Stations and Microwave Links. 📡 Mr. Singh provided valuable level 2 support to customers on issues related to radio access and core networks, showcasing his commitment to customer satisfaction. 👨‍💼 Furthermore, he played a crucial role in resolving technical problems during migration or upgrade activities in Radio Access Network (RAN) nodes, contributing to the smooth operation of the network. 🚀💻

Mr. Permvir Singh’s diverse experience and technical prowess make him a valuable asset in the ever-evolving landscape of wireless communication. 🌐🔧

🎓Education : 

Mr. Permvir Singh is a highly-educated professional with a strong foundation in wireless communication. 📚 He earned his Master of Science (MSc) in 5G Mobile Communications and Intelligent Embedded Systems from the University of Sussex, Brighton, United Kingdom, in 2020. 🌐 His master’s thesis, focusing on the design and implementation of a compact broadband dual-polarized antenna for Over-The-Air (OTA) testing of sub-6GHz 5G New Radio, reflects his expertise in cutting-edge technologies. 🚀 Additionally, Mr. Singh holds a Bachelor’s degree in Electronics and Communication Engineering from the Institution of Electronics and Telecommunication Engineers (IETE), India, earned in 2007. 🎓 This diverse educational background underscores his commitment to staying at the forefront of advancements in the field of wireless communication. 📡💻

🌐 Profile : ORCID

🏆 Accomplishments :

Mr. Permvir Singh has demonstrated outstanding achievements throughout his career, earning distinction in his MSc program at the University of Sussex and standing out as the topper in his class. 🎓 His academic excellence underscores his dedication and expertise in the field of wireless communication. 🌐 Mr. Singh has also showcased strong communication skills, delivering numerous impactful PowerPoint presentations in both industry and academia. 🗣️📊 His ability to effectively convey complex ideas reflects his proficiency in the subject matter. Additionally, his exemplary performance at Rohde & Schwarz was recognized with a spot award, highlighting his commitment to excellence. 🏆 Furthermore, Mr. Singh has contributed to the professional development of others by conducting training sessions for new employees, sharing his extensive knowledge of systems, technology, and processes. 👨‍🏫💼 His multifaceted accomplishments demonstrate not only his individual success but also his dedication to knowledge sharing and team collaboration. 🚀🔧

Publications ( Top Note ) :

A Review of the 3GPP-Compatible Model of 5G in-Band Emissions in Uplink Resource Allocation in Hybrid Network
Journal: IETE Technical Review
Published Year: 2023-11-06
ISSN: Part of ISSN: 0256-4602, Part of ISSN: 0974-5971
Contributor: Permvir Singh

This review article by Mr. Permvir Singh is featured in the IETE Technical Review, providing insights into the 3GPP-compatible model of 5G in-band emissions in uplink resource allocation in a hybrid network. The publication date is November 6, 2023, and it is accessible via DOI for further exploration. 📚🌐