Feng Gao | Technology in Education | Best Researcher Award

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Ms. Feng Gao | Technology in Education | Best Researcher Award

Feng Gao | Henan Institute of Science and Technology | China

Ms. Feng Gao, an accomplished scholar in English language education and applied linguistics, serves as a faculty member at the College of Foreign Languages, Henan Institute of Science and Technology, China. She earned her Bachelor’s degree in English from Henan Normal University, followed by a Master’s degree in Applied Linguistics from South China Normal University, where she specialized in language education and pedagogy. With early professional experience in educational roles in Xinxiang and subsequent academic positions, she has developed a strong profile in both teaching and research. Gao has actively contributed to several institutional initiatives, including curriculum development and collaborative projects aimed at advancing English as a Foreign Language (EFL) pedagogy. Her primary research interests lie in English teaching, applied linguistics, learner psychology, and the role of positive emotions in academic performance, with notable publications such as Academic Buoyancy and Achievement among EFL Learners: The Mediating Roles of Hope and Enjoyment in Acta Psychologica. In addition to publishing six research papers and co-authoring four professional volumes, she has played a key role in integrating psychological constructs such as academic buoyancy, hope, and enjoyment into EFL contexts, providing valuable insights into language learning motivation and resilience. Her scholarly contributions continue to bridge the gap between linguistic theory and classroom practice, positioning her as a promising researcher dedicated to the advancement of EFL education. 0 Citations, 1 Documents, 0 h-index.

Profile: Scopus 

Featured Publication

1. Gao F.*, Academic buoyancy and achievement among EFL learners: The mediating roles of hope and enjoyment. Acta Psychologica, 2025.

Ali Yahia Cherif | Electrical Engineering | Best Researcher Award

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Mr. Ali Yahia Cherif | Electrical Engineering | Best Researcher Award

Ali Yahia Cherif | Oum El Bouaghi University | Algeria

Dr. Ali Yahia-Cherif is a Principal Engineer and accomplished researcher in Electrical and Automatic Engineering at the University of Larbi Ben M’hidi, specializing in predictive control, renewable energy systems, and power electronics. He holds a Doctoral candidacy in Electrical and Automatic Engineering, a Master’s degree in Industrial Automation and Human Systems, and a Licence in Automatic Systems from the University of Mentouri Constantine, building a strong academic foundation in advanced control and automation. His professional career encompasses roles as project manager for solar energy, fire prevention, and security system networks, engineer of study and repair in electronic and security systems, university lecturer in programming and applied electrical sciences, and founder of the F.E.A.T. scientific electronics club. Dr. Yahia-Cherif’s research contributions focus on model predictive control, photovoltaic systems, and metaheuristic algorithms, with impactful publications in prestigious journals and international conferences such as Energy Procedia, IET Renewable Power Generation, and the European Journal of Electrical Engineering. His works include novel approaches to PV system optimization, cascaded predictive control, adaptive model predictive strategies, and matrix converter algorithms for wind energy systems. In addition to his academic output, he has demonstrated leadership in multidisciplinary projects, successfully integrating theory and practice in renewable energy applications, electronic system diagnostics, and predictive control innovations. He has also served as a reviewer for international journals and conferences, underscoring his recognition within the academic community. Through his diverse professional activities and scholarly achievements, Dr. Yahia-Cherif exemplifies excellence in advancing research and engineering practice in renewable energy and automatic control. 55 Citations, 9 Documents, 4 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Meddour S., Rahem D., Yahia-Cherif A., Hachelfi W., Hichem L., A novel approach for PV system based on metaheuristic algorithm connected to the grid using FS-MPC controller. Energy Procedia, 2019, 162: 57–66. (32 citations)

Remache S.E.I., Yahia-Cherif A., Barra K., Optimal cascaded predictive control for photovoltaic systems: application based on predictive emulator. IET Renewable Power Generation, 2019, 13(15): 2740–2751. (29 citations)

Yahia-Cherif A., Remache S.E.I., Barra K., Wira P., Adaptive model predictive control for three-phase voltage source inverter using ADALINE estimator. Proc. 1st Global Power, Energy and Communication Conference (GPECOM), 2019: 164–169. (7 citations)

Yahia-Cherif A., Hicham L., Kamel B., Implementation of finite set model predictive current control for shunt active filter. Proc. 9th Int. Renewable Energy Congress (IREC), 2018: 1–6. (6 citations)

Meddour S., Rahem D., Wira P., Laib H., Yahia-Cherif A., Chtouki I., Design and implementation of an improved metaheuristic algorithm for maximum power point tracking based on a PV emulator and a double-stage grid-connected system. Eur. J. Electrical Engineering, 2022. (5 citations)

Minoru Sasaki | Artificial Intelligence of Robotics | Best Researcher Award

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Prof. Dr. Minoru Sasaki | Artificial Intelligence of Robotics | Best Researcher Award

Professor | Gifu University | Japan

Dr. Minoru Sasaki is a Senior Professor at the Center for Collaborative Study with Community, Tokai National Higher Education and Research System, Gifu University, and an internationally recognized expert in mechanical engineering, robotics, and intelligent control systems. He holds B.S., M.S., and Ph.D. degrees in Mechanical Engineering from Yamagata University and Tohoku University. Over his distinguished career, he has served in various academic and leadership roles, including Research Associate, Assistant and Associate Professor, Department Chair, Director of Career Center, Assistant President, and Course Chair, and he has held multiple visiting professorships at institutions such as UCLA, Georgia Institute of Technology, and Dedan Kimathi University of Technology. His research focuses on robotics, flexible manipulators, neural network control, self-sensing actuators, magnetic levitation systems, and mechatronics applications, contributing over 200 peer-reviewed publications and pioneering work in passivity-based control and intelligent systems. Professor Sasaki has chaired major international conferences, served as Editor and Associate Editor for leading journals including the Journal of Electrical Engineering and Technology and the Mechanical Engineering Journal, and contributed as a program committee and board member for global engineering societies. He is a Fellow of SICE, a Life Senior Member of IEEE, and an active member of ASME, JSME, RSJ, and JSASS. His honors include the Best Technical Contribution Award from the Japan Society of Applied Electromagnetics and Mechanics and multiple best paper awards at international conferences. With a proven record of research excellence, mentorship, and global collaboration, he continues to advance the fields of mechatronics, robotics, and intelligent systems integration. 959 citations, 201 documents, 14 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Taheri S.M., Matsushita K., Sasaki M.* Virtual reality driving simulation for measuring driver behavior and characteristics. J. Transp. Technol., 2017, 7(02):123. (Cited by 83)

2. Takayama K., Sasaki M.* Effects of radius of curvature and initial angle on the shock transition over concave and convex walls. Rep. Inst. High Speed Mech., 1983, 46:1–30. (Cited by 66)

3. Yoshida T., Sasaki M.*, Ikeda K., Mochizuki M., Nogami Y., Inokuchi K. Prediction of coal liquefaction reactivity by solid state 13C NMR spectral data. Fuel, 2002, 81(11-12):1533–1539. (Cited by 64)

4. Endo T., Sasaki M.*, Matsuno F., Jia Y. Contact-force control of a flexible Timoshenko arm in rigid/soft environment. IEEE Trans. Autom. Control, 2016, 62(5):2546–2553. (Cited by 61)

5. Takeda K., Sasaki M.*, Kieda N., Katayama K., Kako T., Hashimoto K., et al. Preparation of transparent super-hydrophobic polymer film with brightness enhancement property. J. Mater. Sci. Lett., 2001, 20(23):2131–2133. (Cited by 56)

Reza Faraji | Electrical Engineering | Best Researcher Award

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Dr. Reza Faraji | Electrical Engineering | Best Researcher Award

Reza Faraji | University of Science and Culture | Iran

Dr. Reza Faraji is a Ph.D. candidate in Electrical and Computer Engineering at Islamic Azad University, with additional academic affiliation at the University of Science and Culture, specializing in nanoelectronics and Quantum-dot Cellular Automata (QCA). He holds a Master’s degree in QCA Design, where his work centered on low-power, high-performance digital circuits. His professional experience spans research assistance and participation in industry-oriented projects, with a focus on energy-efficient architectures for future 6G-enabled IoT systems and semiconductor devices. Faraji’s research expertise encompasses nanoscale circuit design, reversible computing, QCA-based arithmetic logic unit (ALU) and full-adder design, and nanoscale device modeling, including HEMTs and MOSHEMTs. He has published influential work such as the development of a novel reversible multilayer full adder in QCA technology, a compact multilayer ALU achieving ultra-low power dissipation, and a multilayer reversible ALU (RALU) integrating Fredkin and HN gates for optimized area and power efficiency. He has also contributed to advanced modeling of AlN/β- and ε-Ga₂O₃ tri-gate MOSHEMTs for high-power and RF applications, providing theoretical insight into next-generation device performance. His contributions have been cited in multiple international journals, earning recognition for advancing low-power nanoelectronics bridging QCA computing and semiconductor technologies, making him a strong candidate for prestigious technology awards. He has 18 citations, 5 publications with an h-index of 3.

Profile: Scopus

Featured Publications

1. Faraji R., A novel reversible multilayer full adder circuit design in QCA technology. Facta Univ. Ser. Electron. Energ., 2024, 37(3), 437–453.

2. Faraji R., Design of a multilayer reversible ALU in QCA technology. J. Supercomput., 2024, 80(12), 17135–17158.

3. Khodabakhsh A.*, Faraji R., Tandem evaluation of AlN/β- and ε-Ga₂O₃ tri-gate MOSHEMTs. IEEE Trans. Electron Devices, 2025, 72(7), 3452–3460.

Jin Zhang | Pipeline Engineering | Best Researcher Award

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 Dr. Jin Zhang | Pipeline Engineering | Best Researcher Award

Postdoctoral Researcher | University of Calgary | Canada

Dr. Jin Zhang is a doctoral researcher in Mechanical and Manufacturing Engineering at the University of Calgary, specializing in pipeline integrity, hydrogen transport safety, and multi-physics modeling. He holds a Ph.D. (in progress) focusing on hydrogen atom diffusion and distribution at surface defects on pipelines, an M.Sc. in Mechanical Engineering from the China University of Petroleum (Beijing), and a B.Eng. in Oil & Gas Storage and Transportation Engineering from Changzhou University, where he graduated top of his class. His research integrates finite element modeling, fracture mechanics, and experimental validation to address hydrogen embrittlement, stress–strain behavior, and structural integrity of aged pipelines, with applications for hydrogen repurposing and natural gas transport. He has developed predictive models for hydrogen atom diffusion at dents, corrosion defects, and crack tips under fluctuating pressures, contributing to safer energy infrastructure. Zhang has published extensively, including in the International Journal of Hydrogen Energy, Journal of Cleaner Production, International Journal of Pressure Vessels and Piping, and Geoenergy Science and Engineering. His work also includes co-developing a double-rectangle simplification method to improve burst pressure prediction of corroded pipelines. He has been recognized with the University of Calgary Research Excellence Award, International Graduate Tuition Award, First Prize at the China Ocean Engineering Design Competition, and multiple national-level scholarships and mathematics competition prizes. He has 56 citations, 10 publications with an h-index of 4.

Profile: Scopus

Featured Publications

1. Zhang J.*, Cheng Y.F., Modeling of hydrogen atom distribution at corrosion defect on existing pipelines repurposed for hydrogen transport under pressure fluctuations. Int. J. Hydrogen Energy, 2024, 58, 1075–1087.

2. Zhang J.*, Cheng Y.F., Numerical analysis of hydrogen atom diffusion and trapping at an unconstrained dent on pipelines. Int. J. Press. Vessels Piping, 2023, 206, 105032.

3. Wu C.*, Liu J., Zhang J., Transient thermal analysis on pre-cooling process of LNG cryogenic corrugated hose. Geoenergy Sci. Eng., 2024, 232, 212434.

4. Wang Z.*, Li Y., Huang Y., Bao L., Chen Z., Cui X., Wang W., Zhang J., A novel double-rectangle simplification method for enhanced burst pressure prediction of natural gas pipelines with irregular corrosion defects. Ocean Eng., 2025, Under revision.

Hao-Ting Lin | Feature-Driven Optimization | Best Researcher Award

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Assoc Prof. Dr. Hao-Ting Lin | Feature-Driven Optimization | Best Researcher Award

Associate Professor | National Chung Hsing University | Taiwan

Dr. Hao-Ting Lin is an Associate Professor at National Chung Hsing University specializing in robotics, control systems, and bio-industrial mechatronics engineering, with a strong focus on automation, intelligent systems, and sustainable agricultural technologies. He holds advanced degrees in mechanical and control engineering and has developed expertise in the design and integration of robotic mechanisms, sensor-based control, and pneumatic power systems for poultry and agricultural applications. His professional experience includes leading over 30 completed and several ongoing research and consultancy projects, authoring 20 peer-reviewed journal papers, and publishing a book chapter on smart agricultural technologies. Dr. Lin’s research focuses on IoT-enabled humane poultry slaughtering systems, deep learning-based chicken image recognition, precision pneumatic seeders, energy-efficient control strategies for wastewater and agricultural machinery, and robotic sorting systems. He has been granted 12 patents covering innovations in pneumatic automation, exoskeleton systems, aquaculture water quality management, and intelligent sewing and seeding devices. Dr. Lin’s contributions integrate control theory, mechatronics, artificial intelligence, and real-time systems to advance productivity, animal welfare, and sustainability in agriculture and industry. His scholarly impact is reflected in 170 citations by 161 documents, 20 published documents, and an h-index of 6.

Profile: Scopus | ORCID

Featured Publications

1. Lin H.T.*, Suhendra, Development and Implementation of an IoT-Enabled Smart Poultry Slaughtering System Using Dynamic Object Tracking and Recognition. Sensors, 2025, 25(16), 5028.

2. Chen H.C., Rohman Y.F., Ashlah M.B., Lin H.T., Sean W.Y.*, Electrification of Agricultural Machinery: One Design Case of a 4 kW Air Compressor. Energies, 2024, 17(15), 3647.

3. Lin H.T.*, Lee Y.H., Implementing a Precision Pneumatic Plug Tray Seeder with High Seeding Rates for Brassicaceae Seeds via Real-Time Trajectory Tracking Control. Actuators, 2023, 12(9), 340.

4. Liu H.W., Chen C.H., Tsai Y.C., Hsieh K.W., Lin H.T.*, Identifying Images of Dead Chickens with a Chicken Removal System Integrated with a Deep Learning Algorithm. Sensors, 2021, 21(11), 3579.

5. Lin H.T.*, A Novel Real-Time Path Servo Control of a Hardware-in-the-Loop for a Large-Stroke Asymmetric Rod-Less Pneumatic System under Variable Loads. Sensors, 2017, 17(6), 1283.

 

Mohammad Amin | Gradient boosting | Young Scientist Award

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Mr. Mohammad Amin | Gradient boosting | Young Scientist Award

Mohammad Amin | RWTH Aachen University | Germany

Mr. Mohammad Yazdi is a distinguished researcher and academic with expertise in information technology, e-learning systems, and research data management. He holds advanced degrees in information systems and has built a robust academic and professional profile through his work in integrating IT solutions for collaborative research, developing interactive e-learning media, and enabling process mining for research data life cycles. Professionally, he has contributed to several high-impact projects, including the implementation of web services for integrated government systems, evaluation of FAIR data management architectures, and the orchestration of research cluster collaborations, demonstrating strong technical and leadership skills. His research focuses on e-learning as an interactive IT-based learning medium, process mining, IT resource management in research projects, and operational support systems, with a publication record spanning reputable conferences and journals. His works, including “E-learning sebagai media pembelajaran interaktif berbasis teknologi informasi,” “How to Manage IT Resources in Research Projects? Towards a Collaborative Scientific Integration Environment,” and “Event Log Abstraction in Client-Server Applications,” have collectively garnered significant citations, underscoring their academic impact. He has been recognized for his scholarly contributions and actively participates in academic dissemination through editorial roles and conference presentations. With a commitment to advancing digital transformation in education and research, Mohammad Yazdi stands out as a thought leader and innovator in his field, with 29 citations across 23 documents, 10 publications, and an h-index of 4

Profile: Google Scholar | Scopus | ORCID

Featured Publications

1. M. Yazdi*, E-learning sebagai media pembelajaran interaktif berbasis teknologi informasi. Foristek, 2012, 2(1), 680.

2. M. Yazdi*, Implementasi Web-Service pada Sistem Pelayanan Perijinan Terpadu Satu Atap di Pemerintah Kota Palu. Seminar Nasional Teknologi Informasi & Komunikasi Terapan, 2012, 450–457, 24.

3. M. Politze, F. Claus, B. Brenger, M.A. Yazdi*, B. Heinrichs, A. Schwarz, How to Manage IT Resources in Research Projects? Towards a Collaborative Scientific Integration Environment. 2020, 22.

4. M.A. Yazdi*, P. Farhadi Ghalati, B. Heinrichs, Event Log Abstraction in Client-Server Applications. 13th Int. Conf. Knowledge Discovery and Information Systems, 2021, 13.

5. M.A. Yazdi*, Enabling Operational Support in the Research Data Life Cycle. Proc. 1st Int. Conf. Process Mining – Doctoral Consortium, 2019, 13.

Sheharyar Hussain | PV-EV charging station | Best Researcher Award

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Mr. Sheharyar Hussain | PV-EV charging station | Best Researcher Award

Mentor | Tianjin University Renai College | China

Mr. Sheharyar Hussain is an accomplished Electrical Engineer, Lecturer, and Industry Mentor at the Green Power Research Institute, Tianjin Renai College, specializing in power electronics, control and automation, and robotics. He holds dual master’s degrees with a strong focus on smart grids, renewable energy, and artificial intelligence applications in power systems, and is an active IEEE member. His professional experience spans academia and industry, where he has led research initiatives on microgrids, advanced control systems, UAVs, and sustainable energy technologies, as well as guided students and industry professionals in innovative projects. His research contributions include significant publications in top-tier journals such as IEEE Transactions on Industry Applications, Journal of Modern Power Systems and Clean Energy, and IET Generation, Transmission & Distribution, focusing on energy management strategies, distribution system optimization, EV charging solutions, and predictive control for photovoltaic systems. In addition to authoring 13 SCI/Scopus-indexed journal papers, he has three patents published or under process and has collaborated extensively on smart grid and clean energy projects. Recognized for his innovative approach to energy systems, he holds professional memberships and actively engages in fostering academic-industry collaborations. His work reflects a commitment to advancing sustainable, intelligent energy solutions and mentoring the next generation of engineers. He has received 255 citations by 223 documents, authored 14 documents, and holds an h-index of 6.

Profile: Google Scholar | Scopus | ORCID 

Featured Publications

1. Meng Q.*, Hussain S., Luo F., Wang Z., Jin X., An online reinforcement learning-based energy management strategy for microgrids with centralized control. IEEE Trans. Ind. Appl., 2024, 99.

2. Meng Q.*, Jin X., Luo F., Wang Z., Hussain S., Distributionally robust scheduling for benefit allocation in regional integrated energy system with multiple stakeholders. J. Mod. Power Syst. Clean Energy, 2024, 12(5), 1631-1642.

3. Meng Q.*, Tong X., Hussain S., Luo F., Zhou F., Liu L., He Y., Jin X., Li B., Revolutionizing photovoltaic consumption and electric vehicle charging: A novel approach for residential distribution systems. IET Gener. Transm. Distrib., 2024, 18(17), 2822-2833.

4. Meng B.*, Tong X., Hussain S., Luo F., Zhou F., He Y., Liu L., Sun B., Enhancing distribution system stability and efficiency through multi-power supply startup optimization for new energy integration. IET Gener. Transm. Distrib., 2024, 1-14.

5. Saeed M.A.*, Ahmed Z., Hussain S., Zhang W., Wind resource assessment and economic analysis for wind energy development in Pakistan. Sustain. Energy Technol. Assess., 2021, 44, 101068.

Munire Sibel Cetin | Wearable Electronics | Best Researcher Award

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Dr. Munire Sibel Cetin | Wearable Electronics | Best Researcher Award

Postdoctoral researcher | Istanbul Technical University | Turkey

Dr. Munire Sibel Cetin is a Postdoctoral Researcher at Istanbul Technical University, specializing in textile engineering, soft robotics, and smart textiles. She holds a BSc, MSc, and PhD in Textile Engineering, with research expertise spanning ergonomic design, seating comfort, and mechanical-electronic systems of CNC cutters. Her current work focuses on the development of flexible conductive yarns, textile-based thermal actuators, and integrated sensor systems for soft robotic applications, demonstrating significant advances in wearable robotics through energy-efficient textile exoskeletons. Dr. Çetin has contributed to 11 peer-reviewed journal publications, including pioneering work on thermally driven 3D seamless textile actuators and highly stretchable knitted interdigital sensors for wearable technology. She has completed multiple national and international projects, including collaborations under HORIZON 2020, supervised interdisciplinary teams, and contributed to technology transfer through patents—one internationally published and another under process. She serves as a referee for seven prominent journals, reflecting her active engagement in scholarly review processes. Her research has been cited 39 times, and she has earned professional recognition for advancing textile-integrated robotic systems and ergonomic textile design. She holds memberships in professional associations and actively contributes to collaborative innovation initiatives bridging academia and industry. She has 7 citations by 6 documents, 5 documents indexed, and an h-index of 2.

Profile: Google Scholar | Scopus | ORCID

Featured Publications

1. Atalay O.*, Ozlem K., Gumus C., Ahmed I.A.K., Yilmaz A.F., Celebi M.F., et al. Thermally driven 3D seamless textile actuators for soft robotic applications. Adv. Intell. Syst., 2024, 6(11), 2400133.

2. Yilmaz A.F.*, Ahmed I.A.K., Gumus C., Ozlem K., Cetin M.S., Atalay A.T., Ince G., et al. Highly stretchable textile knitted interdigital sensor for wearable technology applications. Adv. Sensor Res., 2024, 3(2), 2300121.

3. Cetin M.S.*, Erdem D. Determination of relationships between effective criteria in conductive yarn purchase using the DEMATEL method. Eur. J. Sci. Technol., 2019, 152–160.

4. Taherkhani B.*, Celebi M.F., Cetin M.S., Atalay A.T., Ince G., Atalay O. Thermally powered soft gripper covered with silver-coated nylon fabric heater reinforced with stainless steel yarn. Adv. Eng. Mater., 2024, 3, 2400133.

5. Yilmaz A.F.*, Ahmed I.A.K., Gumus C., Ozlem K., Cetin M.S., Atalay A.T., Ince G., et al. Highly stretchable textile knitted interdigital sensor for wearable technology applications (Adv. Sensor Res. 2/2024). Adv. Sensor Res., 2024, 3(2), 202470009.

Klara Reichard | Computer Vision Systems | Best Researcher Award

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Mrs. Klara Reichard | Computer Vision Systems | Best Researcher Award

Klara Reichard | Technical University of Munich | Germany

Mrs. Klara Reichard is a PhD candidate at the Technical University of Munich (TUM) and a member of the BMW Doctoral Program, specializing in computer vision, autonomous driving, and vision-language integration. She holds advanced degrees in computation and information sciences and works at the intersection of academia and industry to bridge theoretical research with real-world applications. Her professional experience includes collaborations with BMW Group and the University of Padova, where she has contributed to projects on automatic parking space detection, vocabulary-free semantic segmentation, and language-guided anomaly detection for open-world perception. Klara’s research focuses on developing robust perception systems that enhance the safety and intelligence of next-generation autonomous vehicles, with significant contributions such as novel methods for open-vocabulary and vocabulary-free semantic segmentation and integration into autonomous driving systems. She has authored multiple publications, including contributions to the Journal of Experimental Algorithmics and arXiv preprints, with her work accumulating over 24 citations. Klara holds one patent in progress for open-world segmentation and actively contributes to interdisciplinary research communities. She has been recognized for her innovative approach to bridging cutting-edge computer vision research with deployable industry solutions, demonstrating leadership in advancing intelligent, safe, and scalable autonomous vehicle technologies. Quotes: 25, h-index: 2, i10-index: 2

Profile: Google Scholar

Featured Publications

1. Radermacher M., Reichard K.*, Rutter I., Wagner D., A geometric heuristic for rectilinear crossing minimization. Proc. 20th Workshop on Algorithm Engineering and Experiments, 2018, 12.

2. Radermacher M., Reichard K.*, Rutter I., Wagner D., Geometric heuristics for rectilinear crossing minimization. J. Exp. Algorithmics, 2019, 24, 1–21.

3. Reichard K.*, Rizzoli G., Gasperini S., Hoyer L., Zanuttigh P., Navab N., From open-vocabulary to vocabulary-free semantic segmentation. arXiv preprint arXiv:2502.11891, 2025, 1.

4. Postels J., Strümpler Y., Reichard K.*, Van Gool L., Tombari F., 3D compression using neural fields. arXiv preprint arXiv:2311.13009, 2023, 1.

5. Reichard K.*, Rectilinear Crossing Minimization. Informatics Institute, 2016.