Jaewoo So | Engineering | Best Researcher Award

Published on by Innovation Technologist

Best Researcher Award

Jaewoo So
Sogang University, South Korea

Jaewoo So
Affiliation Sogang University
Country South Korea
Scopus ID 26030124900
Documents 63
Citations 638
h-index 16
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0001-7868-7197

The Best Researcher Award profile recognizes the engineering research associated with Jaewoo So of Sogang University, South Korea. The supplied bibliometric information records 63 documents, 638 citations and an h-index of 16. His listed publications address wireless communications, intelligent network optimization, integrated sensing and communication, and unmanned aerial vehicle (UAV)-mounted base stations. These topics connect engineering research with emerging requirements in connected transportation, cellular infrastructure and energy-efficient network deployment. The profile is presented in connection with the Global Innovation Technologist Awards.

Abstract

This article summarizes the supplied research profile and three selected journal publications associated with Jaewoo So. The studies cover deep learning-based beamforming for integrated sensing and communication, distributed multi-agent reinforcement learning for cellular transmit power control, and energy-efficient UAV-mounted base station deployment under changing weather conditions. Published in Sensors, these works illustrate the application of computational intelligence to wireless network design and performance optimization. Bibliometric figures are reported as supplied and should be interpreted in the context of their source and retrieval date. [1]

Keywords

Engineering; wireless communications; deep learning; integrated sensing and communication; reinforcement learning; cellular networks; UAV base stations; energy-efficient networking; beamforming; research impact.

Introduction

Modern communication systems must accommodate growing data demand, mobility, energy constraints and increasingly complex radio environments. Machine learning methods provide tools for adapting network parameters to changing conditions. The three selected studies address complementary aspects of this challenge, from radio-resource allocation to integrated sensing and communication and aerial infrastructure planning. Their publication records provide identifiable evidence of research activity in engineering and intelligent communication systems. [2]

Research Profile

The supplied profile identifies Jaewoo So with Sogang University and the engineering subject area. The reported Scopus author identifier is 26030124900. The accompanying indicators—63 documents, 638 citations and an h-index of 16—offer quantitative measures of publication activity and citation reach. Such indicators are useful for describing research visibility but do not independently establish the originality, practical value or quality of individual contributions. [1]

Research Contributions

The selected research addresses three related technical directions:

  • Adaptive beamforming: Deep learning-based dynamic time division integrated sensing and communication for vehicular networks, linking communication resources with sensing requirements. [2]
  • Distributed network control: Multi-agent deep reinforcement learning for transmit power control in cellular networks, addressing decisions distributed across network agents. [3]
  • Energy-aware infrastructure: Simulation of UAV-mounted base station deployment under dynamic weather conditions, bringing environmental variability into deployment planning. [4]

Publications

  1. “Deep Learning-Based Dynamic Time Division ISAC Beamforming for Vehicular Networks.” Sensors, April 2026. [2]
  2. “Distributed Multi-Agent Deep Reinforcement Learning-Based Transmit Power Control in Cellular Networks.” Sensors, June 2025. [3]
  3. “Energy-Efficient Deployment Simulator of UAV-Mounted Base Stations Under Dynamic Weather Conditions.” Sensors, June 2025. [4]

Research Impact

The reported 638 citations and h-index of 16 suggest that the research profile has attracted scholarly attention. Citation counts vary over time and across indexing services, while citation practices differ by discipline. The publication topics also have potential relevance to vehicular connectivity, cellular resource efficiency and flexible wireless coverage. Assessing real-world impact would require additional evidence, such as independent validation, implementation results, comparative performance data and documented adoption. [5]

Award Suitability

The supplied publication record offers relevant material for consideration under the Best Researcher Award of the Global Innovation Technologist Awards. Its strengths for evaluation include a defined engineering focus, peer-reviewed journal publications and reported bibliometric indicators. A balanced award assessment should additionally examine authorship contributions, methodological rigor, originality, reproducibility and evidence of broader research significance. This profile describes potential alignment with the award category and does not itself establish an official selection outcome.

Conclusion

Jaewoo So’s supplied research profile and selected publications represent work in intelligent wireless communication and network optimization. The studies address adaptive beamforming, distributed power control and energy-aware UAV base station deployment. Combined with the reported bibliometric figures, these records provide a basis for scholarly recognition and further evaluation. Final conclusions about research excellence should rely on verified profile data and a transparent assessment of individual contributions and impact.

References

  1. Elsevier. (n.d.). Scopus author details: Jaewoo So, Author ID 26030124900. Scopus. Bibliometric values in this article were supplied for the profile and should be checked against the current record.
    https://www.scopus.com/authid/detail.uri?authorId=26030124900
  2. Deep Learning-Based Dynamic Time Division ISAC Beamforming for Vehicular Networks. Sensors, 26(9), 2790. DOI: 10.3390/s26092790.
    https://doi.org/10.3390/s26092790
  3. Distributed Multi-Agent Deep Reinforcement Learning-Based Transmit Power Control in Cellular Networks. Sensors, 25(13), 4017. DOI: 10.3390/s25134017.
    https://doi.org/10.3390/s25134017
  4. Energy-Efficient Deployment Simulator of UAV-Mounted Base Stations Under Dynamic Weather Conditions. Sensors, 25(12), 3648. DOI: 10.3390/s25123648.
    https://doi.org/10.3390/s25123648
  5. ORCID. (n.d.). Jaewoo So researcher identifier. ORCID record 0000-0001-7868-7197.
    https://orcid.org/0000-0001-7868-7197
  6. Global Innovation Technologist Awards. (n.d.). Official award website.
    innovationtechnologist.com

Sanchari Guha Niyogi | Operations Management | Best Researcher Award

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Ms. Sanchari Guha Niyogi | Operations Management | Best Researcher Award

PhD Student at IIM Kozhikode, India

Sanchari Guha Niyogi is a doctoral candidate at the Indian Institute of Management, Kozhikode, specializing in supply chain modeling, game theory, and electric vehicle (EV) market dynamics. With a strong academic background in engineering and management, she has published extensively in ABDC-ranked journals and presented at prestigious conferences. Her research focuses on optimizing EV supply chains, policy design, and strategic decision-making in platform-based economies.

Publication Profile 

Orcid

Educational Background 🎓

  • Doctor of Philosophy (Ph.D.) – Indian Institute of Management, Kozhikode (2021-2025, Expected)
    • Thesis: “Charging Ahead: A Multistakeholder Analysis of the Electric Vehicle Revolution”
    • GPA: 3.67/4
  • Bachelor of Engineering (Printing Engineering) – Jadavpur University, Kolkata (2017-2021)
    • Gold Medalist
    • GPA: 9.29/10

Professional Experience 💼

  • Researcher & Case Author – IIM Kozhikode
    • Developed case studies published in The Case Centre, Financial Express, and IIMK Case Repository.
    • Collaborated with senior faculty on game-theoretic models and supply chain policy frameworks.
  • Conference Presenter & Organizer
    • Delivered research findings at global conferences (POMS, IEEM, IIM Ahmedabad).
    • Hosted and anchored key academic events, including the Globalising Indian Thought Conclave (2023) and ICA Asia-Pacific Research Conference (2024).

Research Interests 🔬

  • Electric Vehicle Supply Chain & Policy Design
  • Game Theory & Optimization in Operations Management
  • Platform-based Business Models & Sharing Economy
  • Sustainable Mobility & Green Energy Transition

Awards and Honors🏆✨

  • Gold Medalist – Jadavpur University (2021)
  • Outstanding Woman Researcher – Springer Nature India & Indian Council of Social Science Research (2024)

Conclusion🌟

Sanchari Guha Niyogi is a distinguished young researcher making significant contributions to EV policy, sustainable supply chains, and strategic operations management. With a strong academic foundation, impactful publications, and an active role in professional organizations, she is shaping the discourse on electric mobility and platform economies.

Publications 📚

  1. 🚗⚡ Accelerating the Electric Vehicle Revolution: Policy Implications of Charging Subsidies and Green Taxes
    📖 EURO Journal on Transportation and Logistics (2025)
    🔗 DOI: 10.1016/j.ejtl.2025.100152
    ✍️ Contributor: Sanchari Guha Niyogi
    📜 ISSN: 2192-4376

  1. 🏠🚀 Airbnb on MARS: A Pricing Odyssey
    📖 The Case Centre
    ✍️ Contributors: Sanchari Guha Niyogi, Shovan Chowdhury

  2. 🚖⚡ BluSmart’s Electric Trick: Reshaping India’s Ride-hailing Landscape
    📖 The Case Centre
    ✍️ Contributors: Sanchari Guha Niyogi, Arqum Mateen

  3. ⚡🏍️ Re-Volt Rush: Gogoro’s Electrifying India Debut
    📖 The Case Centre
    ✍️ Contributors: Sanchari Guha Niyogi, Arqum Mateen

 

 

 

Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

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Mr. Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Ph.D. Student at Nanjing University of Science and Technology, China

Muhammad Ahsan Saleem is an innovative Mechatronics Engineer currently pursuing a Doctorate in Mechanical Engineering at Nanjing University of Science and Technology. With expertise in data-driven applications for 3D printing and machine learning, he works at the cutting edge of material science, electronics, and mechanical systems. Passionate about interdisciplinary collaboration, he applies his technical expertise to solving complex engineering challenges. His hands-on experience includes projects in servo motor control, smart applications, and multi-material 3D printing. Muhammad’s work contributes to significant advancements in the fields of automation, manufacturing, and functional electronics. 🛠️🔬📐

Publication Profile : 

Scopus

Educational Background 🎓

Muhammad Ahsan Saleem holds a Doctor of Engineering in Mechanical Engineering (ongoing, since 2020) from Nanjing University of Science and Technology, China. He completed his Master of Engineering in Mechanical Engineering in 2018 and his Bachelor of Science in Mechatronics Engineering in 2013, both from the same institution in Nanjing, China, and University of Engineering and Technology (UET) Taxila, Pakistan, respectively.

Professional Experience 💼

Currently, Muhammad is a Researcher at Nanjing University of Science and Technology (2020-present), where he collaborates on building plans, timelines, and proposal writing for product development in the fields of 3D printing, inkjet printing, and data-driven approaches for high-viscosity inks. His role involves experiment design for optimizing inkjet printing processes and the development of multi-material ink applications. Prior to this, he worked as a Mechatronics Engineer at Enginesound Automation Technology in Shanghai (2019), where he designed and implemented a Flexible Bend Control (FBC) device for textile machine calibration and developed an android app for wireless data transfer using Bluetooth. His work also includes performance analysis of electric motors and the design of test benches for comprehensive motor analysis. Earlier, he interned as a Trainee Engineer at Attock Refinery Limited, Pakistan, in 2015, working on HVAC equipment installation and maintenance.

Research Interests 🔬

Muhammad’s research spans 3D printing, machine learning, and materials science, with particular focus on inkjet printing technology, piezoelectric inks, and multi-material composites. He explores data-driven methodologies to improve the precision of 3D-printed electronic circuits and has contributed to studies on the jetting behaviors of high-viscosity inks and functional electronics printing.

Publications 📚

Rehman, A. U., Saleem, M. A., Liu, T., Pitir, F., & Salamci, M. U. (2022). Influence of Silicon Carbide on Direct Powder Bed Selective Laser Process (Sintering/Melting) of Alumina. Materials, 15(2), 637. https://doi.org/XXXXXX

Aslam, M. S., Qaisar, I., & Saleem, M. A. (2020). Quantized Event-triggered feedback control under fuzzy system with time-varying delay and actuator fault. Nonlinear Analysis: Hybrid Systems, 35, 100823. https://doi.org/XXXXXX

 

 

 

Rezgar Hasanzadeh | Manufacturing | Young Scientist Award

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Assist. Prof. Dr. Rezgar Hasanzadeh | Manufacturing | Young Scientist Award

Assitant Professor at Kermanshah University of Technology, Iran

Dr. Rezgar Hasanzadeh is an Assistant Professor at Kermanshah University of Technology, with a background in Mechanical Engineering from Urmia University. His research focuses on polymers, polymeric foams, and plastic waste management. 🎓🌍

Dr. Hasanzadeh earned his B.Sc., M.Sc., and Ph.D. from Urmia University, graduating with top honors and receiving several prestigious awards, including the Distinguished Researcher of West Azerbaijan Province and Shahid Chamran Award from Iran’s National Elites Foundation. 🏅🌟

Publication Profile : 

Scopus

🎓 Educational Background :

  • B.Sc. in Mechanical Engineering
    Urmia University (2009-2013) – GPA: 16.38/20
  • M.Sc. in Mechanical Engineering
    Urmia University (2013-2015) – GPA: 18.86/20
  • Ph.D. in Mechanical Engineering
    Urmia University (2015-2019) – GPA: 19.76/20
    Thesis: Effect of Structural Properties on the Thermal-Insulation Properties of Polymeric Hybrid Nanocomposite Foams

👨‍🏫 Professional Experience :

  • Assistant Professor
    Kermanshah University of Technology (2024–Ongoing)
  • Lecturer
    Urmia University (2017–2024)
  • Teaching Fellow
    Urmia University, Professor Taher Azdast (2015–2024)
  • Lecturer
    Technical and Vocational University, Urmia Branch (2016–2023)

🔬 Research Interests : 

  • Polymers & Polymeric Foams
  • Plastic Waste Treatment & Management ♻️
  • Gasification Process 🌱
  • Thermal-Insulation Polymeric Foams
  • Polymeric Nanocomposites
  • 3D & 4D Printing 🖨️
  • Injection Molding/Extrusion Process
  • Plastic Processing & Technology
  • Multi-Objective Optimization

📝 Publication Top Notes :

  1. Hasanzadeh, R., & Mojaver, P. (Eds.). (2023). Plastic Waste Treatment and Management: Gasification Processes. Springer Nature.
  2. Hasanzadeh, R., Doniavi, A., & Rosen, M.A. (2023). Multi-criteria Decision-Making Analysis of Plastic Waste Gasification. In R. Hasanzadeh & P. Mojaver (Eds.), Plastic Waste Treatment and Management (Engineering Materials). Springer, Cham. https://doi.org/10.1007/978-3-031-31160-4_8
  3. Hasanzadeh, R., & Azdast, T. (2023). Evaluation of Steam Polyurethane Foam Waste Gasification. In R. Hasanzadeh & P. Mojaver (Eds.), Plastic Waste Treatment and Management (Engineering Materials). Springer, Cham. https://doi.org/10.1007/978-3-031-31160-4_7
  4. Hasanzadeh, R., Azdast, T., & Park, C.B. (2023). Evaluation of Air Polyurethane Foam Waste Gasification. In R. Hasanzadeh & P. Mojaver (Eds.), Plastic Waste Treatment and Management (Engineering Materials). Springer, Cham. https://doi.org/10.1007/978-3-031-31160-4_6
  5. Gharibi, A.R., Babazade, R., & Hasanzadeh, R. (2023). Collected Plastic Waste Forecasting by 2050. In R. Hasanzadeh & P. Mojaver (Eds.), Plastic Waste Treatment and Management (Engineering Materials). Springer, Cham. https://doi.org/10.1007/978-3-031-31160-4_2
  6. Azdast, T., Hasanzadeh, R., Lee, R.E., Lee, P.C., Wang, G., & Park, C.B. (2023). High-Pressure Foam Injection Molding of Polylactide/Nano-Fibril Composites with Mold Opening. In Polymeric Foams (pp. 129-139). CRC Press.
  7. Azdast, T., & Hasanzadeh, R. (2018). Polymeric Microcellular Foams: Principles, Basics and Properties. Urmia University Press.
  8. Gharibi, A., Doniavi, E., & Hasanzadeh, R. (2024). Metaheuristic particle swarm optimization for enhancing energetic and exergetic performances of hydrogen energy production from plastic waste gasification. Energy Conversion and Management, 308, 118392. [8 citations]
  9. Aghaiee, S., Azdast, T., Hasanzadeh, R., & Farhangpazhouh, F. (2024). Fabrication of bone tissue engineering scaffolds with a hierarchical structure using combination of 3D printing/gas foaming techniques. Journal of Applied Polymer Science, 141(16), e55238. [1 citation]
  10. Gharibi, A., Babazadeh, R., & Hasanzadeh, R. (2024). Machine learning and multi-criteria decision analysis for polyethylene air-gasification considering energy and environmental aspects. Process Safety and Environmental Protection, 183, 46–58. [8 citations]
  11. Khaleghi, S., Azdast, T., Doniavi, A., & Hasanzadeh, R. (2024). Performance optimization of acrylonitrile butadiene styrene/thermoplastic polyurethane composite foams blown with carbon dioxide using Taguchi technique. Journal of Applied Polymer Science, 141(8), e54996. [1 citation]
  12. Mojaver, M., Azdast, T., & Hasanzadeh, R. (2024). An experimental and numerical study on an innovative metastructure for 3D printed thermoplastic polyurethane with auxetic performance. Polymers for Advanced Technologies, 35(2), e6298. [0 citations]
  13. Doniavi, E., Babazadeh, R., & Hasanzadeh, R. (2024). Polyethylene gasification for sustainable plastic waste management with respect to energy, exergy, and environmental considerations: A non-linear programming optimization. Process Safety and Environmental Protection, 182, 86–97. [7 citations]
  14. Mojaver, P., Hasanzadeh, R., Chitsaz, A., Azdast, T., & Mojaver, M. (2024). Tri-objective central composite design optimization of co-gasification of eucalyptus biomass and polypropylene waste. Biomass Conversion and Biorefinery, 14(4), 4829–4841. [12 citations]
  15. Khaleghi, S., Azdast, T., Hasanzadeh, R., Park, C.B., & Rasouli, A. (2024). Tuning cellular structure in a previously developed microcellular acrylonitrile butadiene styrene/thermoplastic polyurethane blend foams. Polymer Engineering and Science. [0 citations; Article in Press]
  16. Azerang, B., Azdast, T., Doniavi, A., & Hasanzadeh, R. (2024). Acrylonitrile butadiene styrene/multi-walled carbon nanotubes nanocomposite foams for electromagnetic interference shielding with optimized performance. Journal of Thermoplastic Composite Materials. [0 citations; Article in Press]
  17. Hasanzadeh, R., Mihankhah, P., Azdast, T., Bodaghi, M., & Moradi, M. (2024). Process-property relationship in polylactic acid composites reinforced by iron microparticles and 3D printed by fused filament fabrication. Polymer Engineering and Science, 64(1), 399–411. [9 citations]