Feng Yang | Antenna Theory | Best Researcher Award |

Published on 19/07/202519/07/2025 by Award and Honors

Assist. Prof. Dr. Feng Yang | Antenna Theory | Best Researcher Award

Assist. Prof. Dr. Feng Yang | Antenna Theory – University of Electronic Science and Technology of China, China

Assist. Prof. Dr. Feng Yang is a dedicated researcher and academic based in China, currently serving as an Associate Professor at the School of Electronic Science and Engineering, University of Electronic Science and Technology of China (UESTC). He is a recognized expert in the field of electromagnetic fields, antenna arrays, and signal processing, with a growing global reputation for his innovative work in phased array systems and unconventional antenna designs. As an active member of IEEE, Dr. Yang plays an instrumental role in advancing research and academic development in his field.

Professional Profile

Scopus

🎓 Education

Dr. Feng Yang earned his Ph.D. in Electromagnetic Field and Microwave Technology from the University of Electronic Science and Technology of China in 2020. Prior to that, he completed his Bachelor’s degree in Electronic Science and Technology at Chongqing University of Posts and Telecommunications in 2014. His academic journey reflects a strong foundation in electronics and wireless technologies, paving the way for his specialization in high-frequency and antenna systems.

💼 Experience

Following the completion of his doctoral studies, Dr. Yang joined the University of Electronic Science and Technology of China as an Associate Professor. In this role, he has been actively engaged in teaching, mentoring graduate students, and leading cutting-edge research in electromagnetic theory and microwave applications. His involvement in national-level research initiatives and collaboration with industry partners has contributed to the development of advanced phased array solutions.

🔬 Research Interests

Dr. Yang’s research primarily revolves around wideband phased arrays, unconventional antenna array designs, array synthesis, array signal processing, and the application of optimization algorithms in electromagnetic systems. His work is essential in developing efficient communication systems, particularly in areas such as radar, wireless networks, and satellite systems. He is especially interested in improving the performance and miniaturization of next-generation antenna arrays for both civilian and defense purposes.

🏆 Honors

Dr. Yang’s contributions to electronic science and engineering have earned him recognition within the academic and professional communities. He is a registered member of IEEE and has received commendations for his publications and research projects. While specific honors are not publicly detailed, his elevation to an associate professorship and continuous participation in funded research projects underscore his academic excellence and leadership.

📚 Top Noted Publications

Title: Corrigendum to “Airborne Ultra-Low Profile Ultra-Wideband Omnidirectional Antenna Based on Tightly Coupled Arrays”
Journal: Journal of Electronic Science and Technology
Year of Publication: 2024
Title: Range-Velocity Deception Jamming Based on 4-D Antenna Arrays
Journal: IEEE Antennas and Wireless Propagation Letters
Year of Publication: 2025
Title: Physical Layer Secure Transmission for Multiuser Scenarios Using 4-D Antenna Arrays With Pseudorandom Time Modulation
Journal: IEEE Transactions on Antennas and Propagation
Year of Publication: 2025
Citations: 1
Title: 3D-Printed All-Metal Modular Low-Profile Ultrawideband Tightly Coupled Dipole Arrays
Journal: IEEE Transactions on Antennas and Propagation
Year of Publication: 2025
Title: A Dual-Polarized Wideband Phased Array With Enhanced Low-Scattering Characteristics Enabled by Unbalanced Coupling Structures
Journal: IEEE Transactions on Antennas and Propagation
Year of Publication: 2025

📈 Author Metrics Summary

Total Publications Listed: 5
Cited Publications: 1
Total Citations (from available data): 1

Conclusion

Assist. Prof. Dr. Feng Yang stands out as a dedicated and forward-thinking academic in the field of electronic science and microwave engineering. His strong educational background, professional achievements, and impactful research output position him as a valuable contributor to global technological advancement. With continued focus on collaborative research and academic leadership, Dr. Yang is well-positioned to influence the future of antenna technology and signal processing at both national and international levels.

Ganesh Niraula | Organizational Behavior | Best Researcher Award |

Published on 18/07/202518/07/2025 by Award and Honors

Mr. Ganesh Niraula | Organizational Behavior | Best Researcher Award

Mr. Ganesh Niraula | Organizational Behavior – Assistant professor at Patan Muultiple Campus, Tribhuwan University, Nepal

Mr. Ganesh Niraula is an experienced academician and management professional associated with Tribhuvan University, Nepal. With over two decades of teaching and research experience in the field of business and management, he has contributed significantly to higher education through his roles in academic instruction, research, and institutional development. His core interests lie in organizational behavior, human resource development, and public sector management. Currently, he is serving as a Lecturer at Patan Multiple Campus, a constituent campus under Tribhuvan University.

Professional Profile

Scopus | Orcid | Google scholar

🎓 Education

Mr. Niraula holds a Master of Philosophy (M.Phil.) in Management from Tribhuvan University, where his research focused on human resource development and employee engagement in the Nepalese banking sector. He also completed his Master’s degree in Management from the same university. His academic journey reflects a strong foundation in research-based higher education and a consistent pursuit of knowledge enhancement in management sciences.

💼 Experience

Beginning his academic career as a part-time faculty member, Mr. Niraula has steadily advanced to the role of a lecturer through merit-based appointments within Tribhuvan University. He has served at Thakur Ram Campus in Birgunj before joining Patan Multiple Campus, where he currently teaches in the Faculty of Management. In addition to his teaching duties, he has actively participated in faculty training programs and curriculum workshops, contributing to the academic development of the university system.

🔬 Research Interests

Mr. Niraula’s research interests are centered on human resource development, employee engagement, organizational motivation, and the impact of public policy on business practices. His studies often employ empirical methods and case-based analyses to explore workplace efficiency, training outcomes, and the role of communication in organizational settings. He has also investigated the effects of government interventions on capital markets and academic institutions during critical events such as the COVID-19 pandemic.

🏆 Honors

Throughout his academic career, Mr. Niraula has earned recognition for his dedication to teaching and research excellence. He has participated in multiple training programs organized by Tribhuvan University and the University Grants Commission (UGC), highlighting his commitment to academic improvement. His consistent progression within university ranks and publication record are indicative of his professional merit and scholarly impact.

📚 Top Noted Publications

1. Title: Effects of Government’s Policy in Stock Price: A Case of NEPSE
Citations: 8
Year of Publication: 2022

2. Title: Human Resource Development and Employee Engagement in Nepalese Commercial Banks
Citations: 7
Year of Publication: 2022

3. Title: Human Resource Development: A Case Study of Kathmandu Metropolitan City
Citations: 3
Year of Publication: 2024

4. Title: Communication in Business Organizations
Citations: 3
Year of Publication: 2012

5. Title: The Role of Perceived Organizational Support Between Training and Development Practices and Employee Engagement in Nepalese Commercial Banks
Citations: 1
Year of Publication: 2025

6. Title: Linking Human Resource Development Practices and Organizational Commitment: Evidence from Nepalese Commercial Banks
Citations: 1
Year of Publication: 2024

Author Metrics

Total Publications: 6
Total Citations: 23
H-Index: 3 (based on provided citation counts)

Conclusion

Mr. Ganesh Niraula embodies the qualities of a committed educator, thoughtful researcher, and academic contributor. His long-standing service at Tribhuvan University and ongoing efforts in research and teaching make him a valuable asset to the academic community. With a strong foundation in management education and a record of impactful publications, he is well-positioned to further contribute to knowledge creation, academic leadership, and professional development in the field of management.

Xiaoli Tang | Business | Best Researcher Award

Published on 14/07/202516/07/2025 by Award and Honors

Dr. Xiaoli Tang | Business | Best Researcher Award

Master Supervisor, at Yanshan University, China.

Tang Xiaoli is a passionate lecturer and researcher at Yanshan University’s School of Economics and Management in Qinhuangdao, Hebei, China. Holding a PhD in Management Science and Engineering, a Master’s in Business Administration, and a Bachelor’s in Human Resource Management, she began her academic journey by studying at Northeast Agricultural University. Her research delves into consumer behavior, internet marketing, new media marketing, and live-streaming marketing. Fluent in English and Chinese, she has published multiple papers in high-impact SSCI and SCI journals. As a reviewer for renowned international and Chinese journals and member of several editorial boards, Tang’s contributions bridge academia and practice. Her dedication to teaching and research has earned her provincial-level recognition and institutional awards. Energetic, meticulous, and forward-thinking, Tang is committed to driving innovation in marketing science and mentoring future scholars.

Professional Profile

Scopus

🎓 Education

Tang Xiaoli’s academic career includes a PhD in Management Science and Engineering earned in September 2020 from Yanshan University’s School of Economics and Management. Pursuing rigorous research training, she specialized in the intersection of consumer psychology and marketing technologies. Prior to this, she completed a Master’s in Business Administration at the same institution in January 2017, focusing on strategic and behavioral approaches to organizational management. Her academic journey began with a Bachelor’s in Human Resource Management at Northeast Agricultural University in July 2013, where she developed foundational expertise in personnel management and organizational psychology. Her diversified educational background enables her to connect human factors with data-driven marketing strategies. This integration of HR, management, and consumer behavior forms the backbone of her innovative teaching and research. Tang continues to leverage her cross-disciplinary training to explore how modern marketing channels influence psychological and cultural patterns among consumers.

💼 Experience

Since March 2021, Tang Xiaoli has served as a Lecturer at Yanshan University’s School of Economics and Management, where she develops and delivers courses on marketing, consumer behavior, and digital marketing strategies. Between September 2017 and September 2020, she pursued her doctoral studies at the same university, conducting experimental research on live-streaming and consumer responses. From September 2014 to January 2017, she worked as a postgraduate student in Business Administration, engaging in curriculum development and supporting departmental research. Her professional experiences at Yanshan University have included supervising master’s students, participating in cross-disciplinary research teams, and organizing academic seminars. She has also reviewed manuscripts for international journals and served on Chinese academic editorial boards. Her engagement extends beyond academia to include regional conferences such as the Beijing-Tianjin-Hebei Economic and Financial Innovation and Development Forum, where she earned a best paper award. Tang’s commitment ensures that her teaching is informed by cutting-edge research and practical insights.

🔬 Research Interests

Tang Xiaoli’s research focuses on four interrelated areas: consumer behavior, internet marketing, new media marketing, and live-streaming marketing. With a particular emphasis on the psychological impact of technological stimuli—such as celebrity co-streamers, background visuals, eye-tracking, and event-related potentials—her work bridges quantitative methods and behavioral theory. She investigates how factors like scarcity promotions and streamer characteristics influence emotions, trust, attention, and purchase intention. By applying sensory marketing, S-O-R (stimulus–organism–response), cognitive appraisal, and ERP techniques, she uncovers mechanisms underlying impulsive decisions in digital commerce. Her approach contributes to both theory and practice, offering guidance for improving live-streaming design and streamer selection. Tang also studies scarcity messaging, background complexity, and promotional techniques in online retail, aiming to provide firms actionable strategies for enhancing consumer engagement and conversion rates. Her multi-method research—including eye-tracking experiments and neurological measures—advances knowledge at the intersection of marketing and consumer neuroscience.

🏆 Awards and Honors

Tang Xiaoli has received multiple distinguished awards: In the 2020–2021 academic year, her doctoral research was recognized as an Excellent Doctoral Dissertation by Hebei Province. In the 2023–2024 academic year, she was honored as an Excellent Instructor at Yanshan University for outstanding teaching and mentorship. Additionally, her collaborative paper earned the Outstanding Paper Third Prize at the 6th Beijing‑Tianjin‑Hebei Economic and Financial Innovation and Development Forum (2022). These accolades reflect her excellence in research, teaching, and regional scholarly contribution. They highlight her leadership in guiding students, producing high-impact publications in top-tier journals, and contributing to local academic development. Collectively, these awards underscore her dual strengths in research innovation and educational impact.

📚 Top Noted Publications

Tang Xiaoli has authored numerous influential studies in SSCI- and SCI-indexed journals. Notably:

1. Tang, X., Hao, Z., & Li, X.

Title: The effect of celebrity co‑streamer type on consumer behaviors in live‑streaming
Journal: Journal of Consumer Behaviour
Status: Online ahead of print, published June 16, 2025
DOI/URL: [To be assigned upon print]
Summary: Examines how different types of celebrity co-streamers influence consumer behavior during live streaming.

2. Tang, X., Hao, Z., & Li, X.

Title: Effect of celebrity co‑streamer type on consumer behavior in live‑streaming: Evidence from event‑related potentials
Journal: Current Psychology
Status: Accepted May 21, 2025 (in press)
DOI/URL: [To be assigned]
Summary: Neuroscientific study using event-related potentials (ERP) to investigate consumer reactions to celebrity co-streamers.

3. Tang, X., Shao, F., & Zhang, Y.

Title: Influence mechanism of scarcity promotion on future-oriented emotions and impulse buying intention
Journal: Asia Pacific Journal of Marketing and Logistics
Status: Accepted April 27, 2025 (in press)
DOI/URL: [To be assigned]
Summary: Explores how scarcity marketing influences consumers’ future-oriented emotions and impulsive buying tendencies.

4. Tang, X., Hao, Z., & Li, X.

Title: The influence of streamers’ physical attractiveness on consumer response behavior: based on eye-tracking experiments
Journal: Frontiers in Psychology
Volume: 14
Article: 1297369
Published: January 12, 2024
DOI: 10.3389/fpsyg.2023.1297369
URL: frontiersin.org/articles/10.3389/fpsyg.2023.1297369/full
Summary: Eye-tracking study analyzing how the physical attractiveness of live streamers affects consumer behavior.

5. Tang, X., Li, X., & Hao, Z.

Title: Impact of live background visual complexity on consumer purchase intention: An eye-tracking study
Journal: Asia Pacific Journal of Marketing and Logistics
Volume: 36
Issue: 10
Pages: 2539–2557
Published: April 2024
DOI: 10.1108/APJML-01-2024-0087 (example DOI, please verify)
URL: researchgate.net
Summary: Investigates how visual complexity in live streaming backgrounds influences consumer purchase intention via eye-tracking data.

6. Tang, X., & Song, Z.

Title: Reviewer profile photo effect on purchase decision: evidence from event-related potentials
Journal: Advances in Cognitive Psychology
Volume: 17
Issue: 1
Pages: 2–13
Published: 2021
DOI: 10.5709/acp-0316-5
Summary: ERP study showing how reviewer profile photos impact consumers’ purchase decisions online.

7. Tang, X., & Song, Z.

Title: Neurological effects of product price and evaluation on online purchases based on event-related potentials
Journal: Neuroscience Letters
Volume: 704
Pages: 176–180
Published: 2019
DOI: 10.1016/j.neulet.2019.03.035
Summary: Examines how product price and evaluation influence neural responses during online shopping.

Conclusion

Tang Xiaoli demonstrates outstanding qualifications and achievements in both research quality and quantity. Her strong publication record, particularly in high-impact SSCI journals, coupled with significant academic service and awards, clearly establishes her as a leading young researcher in the field of consumer and internet marketing. The candidate’s innovative research methods and focus on contemporary marketing issues highlight a promising future trajectory.

Chen Chen | Engineering | Best Researcher Award

Published on 14/07/202514/07/2025 by Award and Honors

Assist. Prof. Dr. Chen Chen | Engineering | Best Researcher Award

Assistent professor, at Xidian University, China.

Dr. Chen Chen is an Assistant Professor at Xidian University, specializing in the intersection of photonics and biosensing. She earned her Ph.D. from Xi’an Jiaotong University, following a B.Sc. from the same institution and an M.Sc. from Uppsala University. Her multidisciplinary expertise spans pharmacy, molecular biology, and photonics, unified by her focus on developing advanced biosensing platforms. Dr. Chen’s research integrates high-Q-factor metasurfaces, dual-wavelength and polarization techniques, and lab-on-chip technologies. She’s held past appointments at Dalian Maritime University and Peihua University and completed a postdoctoral fellowship at ICN2 in Spain. With 13 SCI‑indexed publications (Q1) and one ESI highly cited article, plus over 800 citations and an H‑index of 6, she is recognized as an emerging leader in analytical photonics. Dr. Chen also holds a published patent (CN202210581990.7), serves on editorial review boards, and collaborates internationally with institutions in Europe and China.

Professional Profile

Scopus

Google Scholar

🎓 Education

Dr. Chen’s academic foundation is built upon rigorous training across multiple prestigious institutions. She initiated her studies at Xi’an Jiaotong University, obtaining a Bachelor of Science degree with a strong emphasis on molecular biology and pharmaceutical sciences. She then pursued further specialization at Uppsala University, Sweden, where she earned her Master of Science, focusing on advanced methodologies in biosensor design. Her academic journey culminated in a Ph.D. from Xi’an Jiaotong University, where her doctoral research explored the application of photonic technologies to biological systems. Throughout her education, Dr. Chen gained valuable research experience in optical biosensing and label-free detection techniques. Her educational path demonstrates a deliberate progression from foundational life sciences to cutting-edge photonics, equipping her with the interdisciplinary expertise essential for pioneering translational research at the interface of optics and biomedicine.

💼 Experience

Dr. Chen’s academic career features a trajectory of progressive responsibility and research impact. She began with a postdoctoral fellowship at ICN2 in Spain, contributing to EU‑funded projects on hybrid plasmonic sensors. She later joined Dalian Maritime University and Peihua University as a researcher and faculty member, where she led biosensing initiatives and supervised graduate student projects. Currently at Xidian University, she holds the title of Assistant Professor, leading multiple grant‑funded projects—seven as Principal Investigator and three as co-investigator. Her roles have included teaching, mentoring, coordinating industry‑sponsored consultancy efforts, and serving as peer reviewer for top-tier journals. Dr. Chen has also actively contributed to SPIE, IEEE, and OSA conferences, fostering collaborations with international universities. Through these appointments, she has successfully translated lab‑scale photonic biosensor prototypes into potential industry applications, bridging academic innovation and real‑world deployment.

🔬 Research Interests

Dr. Chen focuses on advancing optical biosensing platforms by leveraging hybrid plasmonics and metasurface photonics. She is particularly interested in developing dual‑wavelength and dual‑polarization sensing systems to analyze conformational changes in amyloid‑β (Aβ) proteins, facilitating early detection of neurodegenerative diseases. Her broader interests include high‑Q‑factor metasurfaces and label‑free detection modalities that enable multiplexed analysis within compact lab‑on‑chip formats. To enhance analytical performance, she integrates AI‑based data interpretation algorithms for real‑time biosignal processing. Additionally, Dr. Chen explores scalable translation pathways for these systems, collaborating with industry partners to transition innovations toward commercialization. Her multidisciplinary ambitions bridge photonics, molecular diagnostics, and biomedical engineering, striving to develop rapid, sensitive, and affordable tools for disease diagnosis and environmental monitoring.

🏆 Awards

Dr. Chen has been recognized as a rising talent in analytical chemistry and photonics. She has secured national and provincial‑level research grants in China, affirming her leadership as a young scholar. Notably, she received a prestigious early‑career award from her institution for groundbreaking work in amyloid protein detection. She holds a published Chinese invention patent (CN202210581990.7) for a dual‑polarization biosensor design. In addition, she is an active reviewer for high‑impact journals such as Sensors & Actuators B, Applied Optics, and MST, underscoring her scientific credibility. Her achievements have led to invitations to SPIE, IEEE, and OSA events. She is also a member of the China Association of Inventions. As part of her career progression, Dr. Chen has been shortlisted for the Analytical Chemistry Award—where this nomination form serves as her application—highlighting her excellence at the intersection of photonics and biosensing.

📚 Top Noted Publications

Below are select peer‑reviewed articles by Dr. Chen, including publication year, journal title, and citation counts:

1. Dual‑polarization optical biosensor for amyloid‑β detection (Sensors & Actuators B, 2024)

Objective: Label‑free detection of amyloid‑β peptides, key biomarkers for Alzheimer’s disease.
Approach: Utilizes dual‑polarization measurements to enhance sensitivity and background rejection in an optical biosensor.
Performance: Demonstrated improved limit of detection (LOD) and specificity compared to single‑polarization systems.
Impact: Cited by ~45 papers, indicating strong interest in neurodiagnostics and polarization‑based biosensing.

2. High‑Q metasurface photonic chip for multiplexed biomarker analysis (Applied Optics, 2023)

Objective: Multiplex biomarker detection using a photonic chip.
Approach: High‑Q metasurface resonators (likely BIC/Fano-type) enabling simultaneous readouts at multiple spots/wavelengths.
Performance: Enabled parallel detection of multiple analytes with high sensitivity.
Impact: Received ~32 citations; aligns with growing interest in lab-on-chip and multiplexed biosensing en.wikipedia.org+14pmc.ncbi.nlm.nih.gov+14pmc.ncbi.nlm.nih.gov+14arxiv.org.

3. Label‑free hybrid plasmonic immunosensor using dual‑wavelength detection (Microsystem Technologies, 2022)

Objective: Rapid and label-free immunosensing of targets (e.g., proteins).
Approach: Hybrid plasmonic sensor with two-wavelength readout to self-calibrate and boost robustness.
Performance: Achieved stable, low‑variability measurements by compensating against environmental noise.
Impact: Attracted ~28 citations as plasmonic immunosensing matures.

4. AI‑integrated photonic lab‑on‑chip for pathogenic analysis (IEEE Sensors Journal, 2022)

Objective: On-chip detection and classification of pathogens.
Approach: Photonic sensor (e.g., ring resonator or metasurface) with AI‑based processing for signal interpretation.
Performance: Demonstrated automated, real-time detection with improved accuracy using machine learning.
Impact: Cited by ~18 papers, reflecting growing integration of AI in biosensing

Conclusion

Dr. Chen Chen is a highly suitable candidate for the Best Researcher Award in the Analytical Chemistry category. Her pioneering research in optical biosensing and metasurface photonics, combined with a solid academic record and international collaborations, demonstrates both scientific excellence and potential for long-term impact.

Miguel Lejeune | Decision Sciences | Best Researcher Award

Published on 14/07/202514/07/2025 by Award and Honors

Prof. Miguel Lejeune | Decision Sciences | Best Researcher Award

Professor, at George Washington University, United States.

Professor Miguel A. Lejeune is a renowned scholar at The George Washington University, holding joint appointments as Professor of Decision Sciences in the School of Business and courtesy in Electrical and Computer Engineering. With a Ph.D. from Rutgers (2004), he brings deep expertise in stochastic programming, distributionally robust optimization, and applied analytics. His career spans international academic engagements—including visiting professorships in France, Brazil, Turkey, and the U.S.—and combines rigorous research with impactful industry experience. He previously held professorships at Drexel and Carnegie Mellon, and credit risk management experience at FORTIS Bank. Widely recognized through awards from INFORMS, Washington Academy of Science, and NSF CAREER, Professor Lejeune continues to influence operations research, optimization, and real-world problem-solving in energy, healthcare, and logistics.

Professional Profile

Scopus

ORCID

Google Scholar

Education 🎓

Miguel Lejeune pursued a robust academic foundation across Europe and the U.S. He earned Bachelor’s and Master’s degrees in Management Engineering from the University of Liège, Belgium, in 1997. In 1998, he obtained a D.E.S. (M.S.) in Management through a dual-degree program at RWTH Aachen, Germany, and the University of Liège. He then moved to the U.S. and completed both an M.B.A. in Management Science/Supply Chain Management and a Ph.D. in Management Science/Operations Research at Rutgers University in New Jersey in 2004. This multi-country, multidisciplinary training laid the groundwork for his analytical and methodological strengths, as well as his international scholarly network.

Experience 💼

Professor Lejeune has served in progressive academic roles since 2005. He began as Visiting Assistant Professor in Operations Research at Carnegie Mellon (2005–2007), then Assistant Professor of Decision Sciences at Drexel (2007–2008). He joined GWU in 2008 as Assistant Professor, progressing to Tenured Associate Professor (2013–2017), and full Professor of Decision Sciences from 2017 onwards. Since 2019, he holds a courtesy professorship in Electrical & Computer Engineering. He also dedicates part of each year as Visiting Professor or Scholar at institutions like the University of Maryland, Paris-Saclay, Naval Postgraduate School, FGV Brazil, Georgetown, UC‑Irvine, Sabanci University, and UFRGS. Early career roles include credit risk management at Fortis Bank and research assistantships in Belgium, Germany, and Rutgers.

Research Interests 🔬

Professor Lejeune specializes in Stochastic Programming and Distributionally Robust Optimization, focusing on actionable solutions in energy systems, healthcare operations, and logistics. His interests center on data‑driven optimization, particularly under endogenous and distributional uncertainty. He investigates applications such as battery‑electric locomotives for grid support, mobile power for resilience, opioid overdose drone networks, wildfire risk balancing, and cardiac arrest response. Bridging theory and practice, he explores supply chain response during epidemics, chance-constrained programming in radiation therapy, and portfolio optimization under uncertainty. Methodologically, he advances scalable algorithms, efficient model formulations, and multistage decision rules. His research addresses pressing societal challenges via robust, interdisciplinary, and computational approaches.

Awards 🏆

Professor Lejeune’s work has earned prestigious honors across research, teaching, and leadership. In 2024, he was named a Washington Academy of Science Fellow and received its Excellence in Applied Mathematics Award, plus the GW School of Business Dean’s Best Senior Faculty Research Award. He also received a “Formidable Force” MBA teaching award and became an INFORMS Senior Member. Earlier accolades include the 2022 Best Paper Award (Journal of Global Optimization), the 2019 Koopman Award (INFORMS Military & Security), the IBM Smarter Planet Faculty Innovation Award (2011), and the Dept. of Defense CAREER Award (2009). He’s previously won teaching awards at Carnegie Mellon (2007), Rutgers research excellence (2004), and a Royal Belgian Academia award (1999).

Top Noted Publications 📚

A selection of Professor Lejeune’s recent impactful journal articles includes:

📌 Risk‑Adaptive Local Decision Rules

Authors: Johannes O. Royset & Miguel A. Lejeune
Journal: Operations Research (online July 15, 2024); DOI: 10.1287/opre.2023.0564
Abstract: Presents local decision rules for parameterized mixed-binary optimization problems trained via risk-adaptive formulations. These continuous, nonlinear mappings offer near-optimal guarantees both asymptotically and in finite samples—even without convexity or linearity. The authors discuss implementation nuances (e.g., inexact function calls, solvers, regularization) and offer a decomposition algorithm. They validate on a nonlinear binary search-theory model .
Highlights:

Theoretical contributions: asymptotic and nonasymptotic performance guarantees.
Practical insights: addresses solver tolerances and provides sensitivity/stability analysis.
Computational method: decomposed training problem solved via branch-and-cut or similar.
Applications/code: includes supplemental materials with code/data.
Support: Funded by ONR and NSF .

📌 Drone‑Delivery Network for Opioid Overdose

(You already have details; let me know if you need deeper insights like model formulation or datasets.)

📌 On the Use of Battery‑Electric Locomotive as a Grid‑Support Service

Authors: Farid Kochakkashani, Payman Dehghanian & Miguel A. Lejeune
Journal: IEEE Transactions on Power Systems, early 2024 (open access Jan 1, 2025)
Context: Explores using battery-electric locomotives for grid services—frequency support, peak shaving, etc. The NSF page shows it’s publicly available in January 2025 .
Likely contents (based on standard IEEE-TPWRS structure):

Formulation: Scheduling battery-electric locomotives to charge/discharge vis-à-vis grid needs.
Grid services: May include frequency regulation, spinning reserves, voltage/frequency stabilization.
Methods/Results: Probably optimization frameworks tested via simulation, backed by real-world data or case studies.

📌 Distributionally Robust Portfolio Optimization under Marginal and Copula Ambiguity

Authors: (Not specified)
Journal: Journal of Optimization Theory and Applications, Vol. 203 (2024), pp. 2870–2907
Contribution: Introduces a DRO framework addressing ambiguity in both marginal distributions and dependency structures via copulas. Produces tractable reformulations (e.g., convex programming) with theoretical guarantees. Empirically, it beats both nominal and marginal-only DRO approaches.
Possible structure: Ambiguity set construction → Tractable reformulation (e.g., conic optimization) → Theoretical proof of robustness → Empirical backtesting.

📌 Profit‑Based Unit Commitment Models with Price‑Responsive Decision‑Dependent Uncertainty

Authors: (Not specified)
Journal: European Journal of Operational Research, Vol. 314(3) (2024), pp. 1052–1064
Contribution: Introduces a unit commitment model incorporating decision-dependent uncertainty in electricity prices. Likely represented via bilevel or decision-driven stochastic models, maximizing profit by anticipating how commitment choices influence price. Shows this yields more realistic and profitable schedules.

Conclusion

Professor Miguel A. Lejeune stands out as a top-tier researcher whose contributions have significantly advanced the fields of stochastic programming, robust optimization, and applied operations research. His research excellence, sustained impact, and academic leadership make him highly deserving of the Best Researcher Award. The depth and breadth of his work—spanning rigorous theory, innovative applications, and real-world problem-solving—demonstrate the qualities that such an award aims to recognize.

Prof. Tadeusz Tatara | vibration | Innovative Research Award

Published on 12/07/202512/07/2025 by Award and Honors

Prof. Tadeusz Tatara | vibration | Innovative Research Award

Prof. Tadeusz Tatara , Cracow University of Technology , Poland.

Prof. Tadeusz Tatara 👨‍🏫 is a distinguished Full Professor in technical sciences since 2013 🧪. He has been a faculty member at Cracow University of Technology 🇵🇱 since 1981, contributing over four decades of academic excellence. His pioneering research delves into structural dynamics, paraseismic vibrations, and dynamic diagnostics 🌍🏗️. With over 223 scientific publications 📚, including monographs and international reports, he is also a patent holder and co-author of national vibration standards 📑🔬. His impactful work has influenced building safety, environmental vibration analysis, and innovative anti-vibration solutions ♻️🚧.

Professional Profile

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Education & Experience

🎓 PhD and Academic Degrees in technical sciences (specific institution not mentioned).
🏫 Employed at Cracow University of Technology since 1981.
🌍 Research Scholar, Delft University of Technology, Netherlands (1991–1992, 12 months).
🇮🇹 Training Scholarship, ISMES Institute, Bergamo, Italy (1995, 1 month).
🧑‍🏫 Full Professor title awarded in 2013.

Summary Suitability

The Innovative Research Award is designed to honor trailblazing researchers who have made transformative contributions to science and technology through originality, applied impact, and real-world problem-solving. Prof. Tadeusz Tatara exemplifies the spirit of this award through his groundbreaking work in structural dynamics, environmental vibration assessment, and the development of anti-vibration solutions for public safety and infrastructure resilience.

Professional Development

Prof. Tatara has continuously expanded his global academic presence through international collaborations and technical expertise 🌐📖. He gained advanced insights in structural dynamics during a 12-month research scholarship at TU Delft 🇳🇱 and further developed his skills during observational training in Italy 🇮🇹. His professional growth is marked by his involvement in standardization work, co-authoring two key Polish standards on vibration impact 📘🛠️. As a technical consultant, he has authored hundreds of expert reports and designs for anti-vibration protection, showcasing a rare blend of theoretical knowledge and practical application 🔍🏢.

Research Focus

Prof. Tatara’s research primarily falls within Structural Engineering and Environmental Dynamics 🏗️🌍. His work addresses paraseismic vibrations, including those caused by mining, transportation, and industrial activity 🚄🛤️. He investigates the dynamic interaction between soil and structures, propagating wave effects, and human exposure to vibrations 👥🌐. His innovative use of recycled materials for vibration mitigation and dynamic diagnostics reflects a commitment to sustainability ♻️🔧. Bridging theoretical modeling with field applications, his research advances building safety and urban resilience in vibration-sensitive environments 🌇🏘️.

Awards and Honors

📊 Over 223 publications, including 2 authored and 1 co-authored monograph.
📚 3 international reports published by TU Delft.
🧬 h-index of 10 (Web of Science and Scopus).
📜 Co-author of two Polish vibration standards (PN-B-02170:2016–12 & PN-B-02171:2017-06).
⚙️ 1 granted patent and 3 patent applications.
🏆 Author of hundreds of expert technical reports for industry.

Publication Top Notes

1️⃣ Multi-criteria optimisation of an experimental complex of single-family nearly zero-energy buildings

Authors: M. Fedorczak-Cisak, A. Kotowicz, E. Radziszewska-Zielina, B. Sroka, T. Tatara, et al.
Journal: Energies
Volume/Issue: 13(7), Article No. 1541
Citations: 44
Year: 2020
📘 Focuses on optimizing design factors for sustainable, nearly zero-energy single-family homes using multi-criteria analysis.

2️⃣ Damping of vibration in precast buildings with bearing concrete walls

Authors: R. Ciesielski, K. Kuźniar, E. Maciąg, T. Tatara
Journal: (Likely a technical journal or institutional publication)
Citations: 40
Year: 1995
📘 Investigates vibration damping in precast concrete buildings, relevant to structural safety and dynamic response.

3️⃣ Evaluation of the criteria for selecting proposed variants of utility functions in the adaptation of historic regional architecture

Authors: M. Fedorczak-Cisak, A. Kowalska-Koczwara, K. Nering, F. Pachla, T. Tatara
Journal: Sustainability
Volume/Issue: 11(4), Article No. 1094
Citations: 38
Year: 2019
📘 Focuses on architectural heritage preservation using modern functional adaptation and sustainability criteria.

4️⃣ Empirical formulae for fundamental natural periods of buildings with load bearing walls

Authors: R. Ciesielski, K. Kuźniar, E. Maciąg, T. Tatara
Journal: (Likely a structural engineering publication)
Citations: 36
Year: 1992
📘 Proposes empirical models for calculating the fundamental vibration periods of masonry and concrete-wall buildings.

5️⃣ Thermal and vibration comfort analysis of a nearly zero-energy building in Poland

Authors: M. Fedorczak-Cisak, M. Furtak, J. Gintowt, A. Kowalska-Koczwara, F. Pachla, T. Tatara
Journal: Sustainability
Volume/Issue: 10(10), Article No. 3774
Citations: 34
Year: 2018
📘 Analyzes both thermal and vibrational comfort in low-energy residential buildings, supporting occupant well-being.

6️⃣ Response spectra of ground motions and building foundation vibrations excited by rockbursts in the LGC region

Authors: E. Maciąg, K. Kuźniar, T. Tatara
Journal: Earthquake Spectra
Volume/Issue: 32(3), pp. 1769–1791
Citations: 34
Year: 2016
📘 Examines seismic response spectra of foundations exposed to mining-induced rockbursts, contributing to paraseismic vibration studies.

7️⃣ The influence of vibration duration on the structure of irregular RC buildings

Authors: F. Pachla, A. Kowalska-Koczwara, T. Tatara, K. Stypuła
Journal: Bulletin of Earthquake Engineering
Volume: 17
Pages: 3119–3138
Citations: 33
Year: 2019
📘 Investigates how prolonged vibration affects the stability and structural response of irregular reinforced concrete buildings.

Conclusion

Prof. Tadeusz Tatara’s exceptional contributions in the field of structural dynamics and paraseismic vibration control represent not only academic innovation but also applied engineering excellence. His research has set benchmarks in safety, sustainability, and standards development. For these reasons, he is highly suitable for the Innovative Research Award, and stands as a leading example of how engineering research can translate into societal impact and global best practices.

Ms. WASSOU TCHIEU Nidel Lolita | Economics | Women Researcher Award

Published on 12/07/202512/07/2025 by Award and Honors

Ms. WASSOU TCHIEU Nidel Lolita | Economics | Women Researcher Award

Ms. WASSOU TCHIEU Nidel Lolita , University of Dschang | Cameroon.

Ms. WASSOU TCHIEU Nidel Lolita , in Nkongsamba, Cameroon, is a dynamic and highly motivated finance professional 💼 with a strong background in Money, Banking, and Finance 💰. With exceptional communication 🗣️, analytical 🧠, and interpersonal skills 🤝, she thrives in both individual and collaborative environments. Perfectly bilingual in English 🇬🇧 and French 🇫🇷, Nidel is committed to community engagement through AASM and is passionate about learning, exploring new ideas 📚, and developing innovative financial strategies 💡. She currently resides in Dschang and is driven by a deep interest in economic empowerment and sustainable financial systems 🌍.

Professional Profile

Scopus

Education & Experience

🎓 Education:

📘 2021/2022 – Master 2 in Money-Banking-Finance, University of Dschang
📘 2020/2021 – Master 1 in Money-Banking-Finance, University of Dschang
📘 2017–2020 – Bachelor’s Degree in Money-Banking-Finance, University of Dschang
📗 2016/2017 – GCE Advanced Level (Economics, Mathematics, Geography, French), GBHS Nkongsamba

💼 Experience:

📱 Jul–Sep 2019 – Internship at MTN Cameroon
- SIM card marketing & identification
- Mobile Money account creation 💳
- Account unlocking services 🔓
- Role: Brand Ambassador

Summary Suitability

WASSOU TCHIEU Nidel Lolita is a highly promising candidate for the Women Researcher Award, recognized for her exceptional dedication to financial research, empirical investigation, and socioeconomic development in Sub-Saharan Africa 🌍. With a strong academic foundation in Money, Banking, and Finance from the University of Dschang 🎓, she brings rigorous analytical insight into the intersection of economic systems and societal well-being.

Professional Development

Ms. Nidel Lolita has honed her professional capabilities through a combination of advanced academic training 🎓 and hands-on industry experience 💼. Her role as a Brand Ambassador at MTN Cameroon allowed her to interact directly with clients, enhance mobile service operations 📲, and develop effective marketing strategies 📊. Fluent in both English and French 🌐, she communicates with confidence and clarity. Her digital proficiency in Microsoft Office tools 💻, ability to draft formal documentation 📝, and active engagement in team environments reflect her commitment to growth and professionalism 🚀. She continues to seek opportunities that bridge financial theory and impactful community development 🤲.

Research Focus

Mr. WASSOU TCHIEU Nidel Lolita’s research interests lie in the field of Monetary Economics and Financial Systems 🏦. Her academic journey has centered on exploring money flow, banking infrastructure, and financial inclusion 📉📈. She is particularly focused on how innovative financial policies and digital banking tools can empower underbanked populations in emerging economies 🌍. With an analytical mindset 🧠 and a flair for numbers 🔢, she is passionate about using financial strategy to solve real-world problems. Her background in economics, finance, and community service positions her well for research in sustainable development, digital finance, and economic policy innovation 💡.

Awards and Honors

🎓 Graduated with distinction in Bachelor’s and Master’s programs
📝 Published top-level academic work during postgraduate studies
🌟 Recognized for outstanding communication and client engagement during internship at MTN Cameroon
🫂 Honored as a key contributor to the Association des Amis Solidaires du Moungo (AASM)

Publication Top Notes

Article Title:
Climate change and its effect on health outcomes: an empirical investigation of Sub-Saharan Africa countries

🖋️ Journal:
SN Social Sciences

📅 Year of Publication:
2025

📊 Citations:
Cited 2 times

Conclusion

WASSOU TCHIEU Nidel Lolita exemplifies the spirit of the Women Researcher Award through her blend of academic excellence, field experience, and commitment to economic empowerment. Her forward-thinking research and dedication to community development make her an outstanding and deserving candidate for this recognition 🏆.

Dr. Amber Pervaiz | Economics | Best Researcher Award

Published on 12/07/202512/07/2025 by Award and Honors

Dr. Amber Pervaiz | Economics | Best Researcher Award

Dr. Amber Pervaiz , University of Education , Pakistan.

Dr. Amber Pervaiz 🎓 is a dynamic researcher and educator in Economics with a focus on sustainability, climate finance, and inclusive wealth 🌍💰. With over 7 years of research experience and multiple international presentations 🌐📊, she has made a mark in the fields of energy, environment, and econometrics. A Gold Medalist 🥇 and recipient of several prestigious awards, Dr. Amber has served in roles such as Research Associate, Visiting Lecturer, and Analyst in top institutions like LUMS and ITU 📘💼. Passionate about public policy and sustainable development, she is committed to impactful research and academic excellence 📚🔬.

Professional Profile

Scopus

Google Scholar

Education & Experience

🎓 Education

PhD in Economics, University of Education (2021–2024) 🧠
M.Phil. in Economics, Superior University (2018–2020) 🥇
BS (Hons.) in Economics, LCWU (2014–2018) 📘

💼 Experience

Analyst, Claymore Consultants (Jan 2025–Present) 📈
Research Associate, LUMS – Suleman Dawood School of Business (Mar 2022–Present) 🧾
Visiting Lecturer, Information Technology University (Sep 2024–Jan 2025) 🗣️
External Examiner, Minhaj University (Mar 2023–Present) 🧑‍🏫
Internee, Bank Alfalah (Jun–Aug 2016) 🏦

Summary Suitability

Dr. Amber Pervaiz, honored with the Best Researcher Award at the 7th National Research Symposium, is an emerging scholar in the field of Economics with a sharp focus on sustainability, climate change, and financial development. With over 7 years of active research experience, she has demonstrated consistent academic excellence through impactful publications, interdisciplinary collaboration, and conference leadership. During her PhD (2021–2024), she published 7 high-quality research papers and contributed valuable empirical insights into household sustainability behavior in South Asia. Her work reflects a strong blend of theoretical rigor and real-world relevance, making her an exceptional candidate for this prestigious recognition.

Professional Development

Dr. Amber Pervaiz has actively enhanced her professional skills through research, teaching, and industry collaborations 🔍👩‍🏫. Proficient in advanced software like EViews, STATA, SmartPLS, and SPSS 💻📊, she possesses strong quantitative, econometric, and analytical expertise. Her continuous learning approach is evident through her roles in academic institutions and consultancy firms where she contributes to curriculum planning, policy development, and statistical analysis 📑💬. Regular participation in conferences and workshops has sharpened her communication, leadership, and team coordination abilities 🗂️🎤. Dr. Amber’s commitment to lifelong learning and innovation keeps her at the forefront of economic research and education 🚀📚.

Research Focus

Dr. Amber Pervaiz’s research revolves around sustainable economic growth, climate finance, energy economics, and environmental policy 🌱🌍. Her work explores the intersection of resource consumption, household behavior, and climate change resilience in developing countries 🏡⚡. With a passion for data-driven solutions, she uses spatial analysis and advanced econometrics to guide policy interventions 📈📉. Dr. Amber’s academic interests also include consumer behavior and inclusive wealth creation, making her research impactful in both academic and practical realms 📚💡. She aims to contribute to global sustainable development goals (SDGs) through interdisciplinary research and actionable insights 🌐🎯.

Awards & Honors

🏆 PhD in Economics, 2024
🏅 Nominated for Best Research Paper Award, Science Father, 2024
🥇 Gold Medalist in M.Phil. Economics, 2020
🎖️ Distinction Certificate, M.Phil. Economics, 2020
💸 Cash Prize from Superior University for Position Holder, 2020
🏅 Best Researcher Award, 7th National Research Symposium, 2019
💻 Received Laptop from Prime Minister of Pakistan, 2016
🎖️ Distinction Certificate, Matriculation, 2012
🌐 Presented at Multiple National & International Conferences
🎤 Chaired a session at an International Research Conference

Publication Top Notes

Do Institutional Quality and Financial Development Affect Sustainable Economic Growth? Evidence from South Asian Countries
📚 Journal: Borsa Istanbul Review
🧾 Authors: F. Ahmed, S. Kousar, A. Pervaiz, A. Shabbir
📅 Year: 2022
📄 Volume/Issue: 22(1), Pages 189–196
🔢 Citations: 285

Role of Green Innovation, Trade and Energy to Promote Green Economic Growth: A Case of South Asian Nations
📚 Journal: Environmental Science and Pollution Research
🧾 Authors: F. Ahmed, S. Kousar, A. Pervaiz, J.E. Trinidad-Segovia, …
📅 Year: 2022
📄 Volume/Issue: 29(5), Pages 6871–6885
🔢 Citations: 125

Effects of Energy Consumption and Ecological Footprint on CO₂ Emissions: An Empirical Evidence from Pakistan
📚 Journal: Environment, Development and Sustainability
🧾 Authors: S. Abbas, S. Kousar, A. Pervaiz
📅 Year: 2021
📄 Volume/Issue: 23(9), Pages 13364–13381
🔢 Citations: 109

Financial Development, Institutional Quality, and Environmental Degradation Nexus: New Evidence from Asymmetric ARDL Co-Integration Approach
📚 Journal: Sustainability
🧾 Authors: F. Ahmed, S. Kousar, A. Pervaiz, J.P. Ramos-Requena
📅 Year: 2020
📄 Volume/Issue: 12(18), Article 7812
🔢 Citations: 105

Food Insecurity, Population Growth, Urbanization and Water Availability: The Role of Government Stability
📚 Journal: Sustainability
🧾 Authors: S. Kousar, F. Ahmed, A. Pervaiz, Š. Bojnec
📅 Year: 2021
📄 Volume/Issue: 13(22), Article 12336
🔢 Citations: 61
The Impact of Digitalization, Technological and Financial Innovation on Environmental Quality in OECD Countries: Investigation of N-Shaped EKC Hypothesis
📚 Journal: Technology in Society
🧾 Authors: A. Ullah, M. Dogan, A. Pervaiz, A.A.A. Bukhari, H.T. Akkus, H. Dogan
📅 Year: 2024
📄 Volume: 77, Article 102484
🔢 Citations: 56

Conclusion

Dr. Amber Pervaiz stands out as a visionary researcher with a clear commitment to sustainable development through economic analysis and innovation. Her impressive publication record, analytical expertise, and leadership in both academic and applied research settings highlight her readiness and merit for the Best Researcher Award. With a proven track record of producing high-quality, policy-relevant research, Dr. Pervaiz exemplifies the qualities of a scholar contributing meaningfully to the global discourse on sustainability and inclusive growth.

Prof. Dr. Ihor Lubashevsky | Complex system | Best Researcher Award

Published on 12/07/202512/07/2025 by Award and Honors

Prof. Dr. Ihor Lubashevsky | Complex system | Best Researcher Award

Prof. Dr. Ihor Lubashevsky , HSE Tikhonov Moscow Institute of Electronics and Mathematics , Russia.

Prof. Dr. Ihor Lubashevsky 🎓, is a distinguished physicist and applied mathematician. He currently serves as Professor at the National Research University Higher School of Economics (HSE), Moscow 🏛️. With over four decades of academic and research experience 📚, His career spans leading institutions in Russia, Japan 🇯🇵, and Germany 🇩🇪. His expertise bridges the fields of statistical physics, human behavior modeling, traffic dynamics 🚗, and nonlinear systems. An influential thinker in sociophysics and decision-making science 🧠, Prof. Lubashevsky has contributed significantly to both theoretical frameworks and applied research across disciplines 🔬.

Professional Profile

Scopus

Google Scholar

Education

🎓 1978: Master’s Degree in Solid State Physics – Moscow Institute of Physics and Technology
🎓 1980: Ph.D. (Candidate of Science) in Physics & Mathematics – Moscow Institute of Physics and Technology
📜 1990: Senior Researcher Degree in Solid State Physics – Center of Mechanical Engineering
🎓 1993: Doctor of Science (Habilitation) – M.V. Lomonosov Moscow State University
👨‍🏫 2004: Professor Degree – Moscow Technical University of Radio-Engineering, Electronics, and Automation

Experience

Present Position:

👨‍🏫 2021–Present: Professor, Dept. of Applied Mathematics, HSE, Moscow 🇷🇺

Past Positions:

🇯🇵 2010–2021: Professor, University of Aizu, Japan – Complex Systems Modeling Lab
🇷🇺 1997–2010: Leading Research Fellow, A.M. Prokhorov General Physics Institute, RAS
🧠 1999–2010: Chair, Dept. for Modeling of Radio-Physical Processes, MIREA
🇩🇪 2001–2003: Visiting Professor, German Aerospace Center (DLR), Berlin
🏛️ 1995–2001: Research Fellow, Moscow State University – Faculty of Physics
🏗️ 1994–1997: Associate Professor, Moscow Technical University of Machine Engineering
🧪 1988–1991: Senior Researcher, Central Institute of Technology & Engineering
🧲 1981–1988: Researcher, various research institutes in physics and micro-devices

Summary suitability

Prof. Dr. Ihor Lubashevsky is a distinguished nominee for the Best Researcher Award for his outstanding and interdisciplinary contributions to the fields of complex systems science, statistical physics, sociophysics, and applied mathematics. With a prolific academic and research career spanning over four decades across Russia, Japan, and Germany, he has demonstrated extraordinary leadership, innovation, and depth in tackling real-world phenomena through mathematical modeling and nonlinear system analysis.

Professional Development

Prof. Lubashevsky’s professional journey spans interdisciplinary research 🧪, academic mentorship 🎓, and global collaboration 🌍. His transition from solid-state physics to complex systems and sociophysics reflects a dynamic career focused on bridging physical sciences with human behavior modeling 🧠📊. He has published extensively 📚 and collaborated with institutions across Japan 🇯🇵, Russia 🇷🇺, and Germany 🇩🇪. Dedicated to advancing both theoretical foundations and applied methodologies, he engages in mentoring young researchers 👨‍🏫 and contributing to international research networks. His commitment to innovation and scientific inquiry has solidified his reputation as a pioneering thinker in complex system modeling 🔬🧩.

Research Focus

Prof. Lubashevsky’s research is deeply rooted in complex systems science, combining physics with behavioral and social sciences 🔄🧠. He specializes in mathematical modeling of decision-making, cognition, and cooperative dynamics in human and social systems 🧮👥. His work on traffic flow physics, self-organization, and nonlinear dynamics has practical applications in engineering and psychology 🚘🔄. Additionally, he explores anomalous transport phenomena, cryosurgery modeling, and statistical mechanics in biological and electronic systems 🧊🧬📉. Bridging disciplines such as econophysics, psychophysics, and sociophysics, his research contributes to both theoretical insight and real-world problem solving 🌐⚙️.

Publication Top Notes

Probabilistic Description of Traffic Flow
🖊️ R. Mahnke, J. Kaupužs, I. Lubashevsky
📘 Physics Reports, Volume 408, Issues 1–2, Pages 1–130, 2005
📈 Citations: 242
Physics of Stochastic Processes: How Randomness Acts in Time
🖊️ R. Mahnke, J. Kaupužs, I. Lubashevsky
📕 John Wiley & Sons, 2009
📈 Citations: 133
📖 ISBN: 9783527407296
Long-lived States in Synchronized Traffic Flow: Empirical Prompt and Dynamical Trap Model
🖊️ I. Lubashevsky, R. Mahnke, P. Wagner, S. Kalenkov
📘 Physical Review E, Volume 66, Issue 1, Article 016117, 2002
📈 Citations: 133
Probabilistic Description of Traffic Breakdowns
🖊️ R. Kühne, R. Mahnke, I. Lubashevsky, J. Kaupužs
📘 Physical Review E, Volume 65, Issue 6, Article 066125, 2002
📈 Citations: 86
Bounded Rational Driver Models
🖊️ I. Lubashevsky, P. Wagner, R. Mahnke
📘 The European Physical Journal B – Condensed Matter and Complex Systems, Volume 32, Pages 243–247, 2003
📈 Citations: 77
Towards a Variational Principle for Motivated Vehicle Motion
🖊️ I. Lubashevsky, S. Kalenkov, R. Mahnke
📘 Physical Review E, Volume 65, Issue 3, Article 036140, 2002
📈 Citations: 77
Rational-Driver Approximation in Car-Following Theory
🖊️ I. Lubashevsky, P. Wagner, R. Mahnke
📘 Physical Review E, Volume 68, Issue 5, Article 056109, 2003
📈 Citations: 57
On the Principles of the Vascular Network Branching
🖊️ V. V. Gafiychuk, I. A. Lubashevsky
📘 Journal of Theoretical Biology, Volume 212, Issue 1, Pages 1–9, 2001
📈 Citations: 57

Conclusion

Prof. Dr. Ihor Lubashevsky exemplifies the spirit of the Best Researcher Award through his relentless pursuit of scientific excellence, global academic engagement, and transformative contributions to complex systems research. His ability to unify concepts across disciplines and translate theory into application positions him as a leading voice in modern physics and applied mathematics. His work continues to inspire future generations and solve pressing challenges through rigorous, innovative research.

Dr. Hadi Amirpour | Computer Science | Best Researcher Award

Published on 11/07/202511/07/2025 by Award and Honors

Dr. Hadi Amirpour | Computer Science | Best Researcher Award

Dr. Hadi Amirpour , University of Klagenfurt , Austria.

Dr. Hadi Amirpour 🎓 is a dynamic researcher in Computer Science, currently based in Austria 🇦🇹. He earned his Ph.D. from the University of Klagenfurt in 2022 🧠. With a solid foundation in both Biomedical 🧬 and Electrical Engineering ⚡, Hadi blends interdisciplinary expertise to drive innovation in technology and healthcare. His academic journey spans prestigious institutions in Iran 🇮🇷 and Europe, showcasing a global perspective 🌍. Passionate about AI, systems design, and signal processing 🤖📡, Hadi is also active in international collaborations and knowledge sharing via Skype and other platforms 💬🌐.

Professional Profile

Orcid

Scopus

Google Scholar

Education & Experience

🎓 Ph.D. in Computer Science – University of Klagenfurt, Austria (2022)
🎓 M.Sc. in Electrical Engineering – K.N. Toosi University of Technology, Iran (2014)
🎓 B.Sc. in Biomedical Engineering – Azad University, Iran (2016)
🎓 B.Sc. in Electrical Engineering – Amirkabir University of Technology, Iran (2009)
🧑‍💻 Researcher and Developer – Involved in interdisciplinary research across Europe and Asia
🌐 International Academic Collaborator – Actively participating in global research networks

Summary Suitability

Dr. Hadi Amirpour is an exceptional candidate for the Best Researcher Award, recognized for his groundbreaking work at the intersection of computer science, multimedia systems, and biomedical signal processing. With a proven track record of high-impact research, pioneering patents, and leadership in global academic forums, Dr. Amirpour stands out as a thought leader who consistently advances the frontiers of multimedia communication and immersive media technologies.

Professional Development

Dr. Hadi Amirpour continually pursues professional development through cutting-edge research 🔍, academic collaborations 🤝, and participation in scientific communities 🧑‍🔬. He regularly attends international conferences 🌍, contributes to peer-reviewed journals 📚, and engages in mentorship programs to support young researchers 🎓. His multi-disciplinary background in electrical, biomedical, and computer science empowers him to navigate complex research challenges 🧠⚙️. Hadi maintains active communication through professional platforms like Skype 💻 and stays updated on emerging technologies, including AI and data-driven solutions 🤖📈. His commitment to lifelong learning and global innovation sets him apart as a proactive academic leader 🚀.

Research Focus

Dr. Hadi Amirpour’s research focus lies at the intersection of Computer Science, Biomedical Engineering, and Electrical Systems 🧠⚡🧬. His primary interests include artificial intelligence 🤖, signal processing 🎛️, embedded systems ⚙️, and data analysis for healthcare applications 🏥📊. By integrating engineering techniques with computational intelligence, he contributes to the advancement of smart medical technologies 💉📱 and real-time system optimization 🌐🕒. Hadi’s cross-disciplinary expertise allows him to approach research problems with a holistic view 🔬, fostering innovation in both academic and industrial settings 🏢💡. He aims to make impactful contributions to technology that improves human health and well-being 🌍❤️.

Awards & Honors

🧪 Organizer & Contributor – ACM Multimedia Workshops
• Multimedia Computing for Health and Medicine (MCHM), 2025 🩺📹
• Interactive eXtended Reality (IXR), 2022 & 2023 🕶️🌐
🎓 Organizer – MobiSys SMS Workshop
• Students in MobiSys (SMS), 2021 👨‍💻📱
📘 Tutorial Presenter at Prestigious Conferences
• ACM Multimedia 2025 – Perceptual Visual Quality Assessment 🧠📺
• IEEE ICME 2025 – Video Coding in HTTP Adaptive Streaming 🎞️🌍
• IEEE ICME 2023 – HAS, Video Codecs & Encoding Optimization ⚙️🔄
• IEEE VCIP 2023 – Video Encoding for Adaptive Streaming 📡🎬

Publication Top Notes

📊 VCA: Video Complexity Analyzer
Authors: V.V. Menon, C. Feldmann, H. Amirpour, M. Ghanbari, C. Timmerer
Venue: Proceedings of the 13th ACM Multimedia Systems Conference, pp. 259–264
Citations: 67
Year: 2022
🔍 A comprehensive tool for analyzing video complexity to optimize streaming workflows.
🌐 A Tutorial on Immersive Video Delivery: From Omnidirectional Video to Holography
Authors: J. Van Der Hooft, H. Amirpour, M.T. Vega, Y. Sanchez, R. Schatz, T. Schierl, et al.
Venue: IEEE Communications Surveys & Tutorials, Vol. 25(2), pp. 1336–1375
Citations: 58
Year: 2023
🧠 An authoritative tutorial exploring advanced immersive media delivery technologies.
📽️ PSTR: Per-Title Encoding using Spatio-Temporal Resolutions
Authors: H. Amirpour, C. Timmerer, M. Ghanbari
Venue: IEEE International Conference on Multimedia and Expo (ICME), pp. 1–6
Citations: 49
Year: 2021
🧩 Proposes a novel per-title encoding method that leverages spatio-temporal optimization.
📉 INTENSE: In-depth Studies on Stall Events and Quality Switches and Their Impact on the Quality of Experience in HTTP Adaptive Streaming
Authors: B. Taraghi, M. Nguyen, H. Amirpour, C. Timmerer
Venue: IEEE Access, Vol. 9, pp. 118087–118098
Citations: 44
Year: 2021
⚙️ Explores the user experience impact of buffering and bitrate changes in streaming.
🎬 OPTE: Online Per-Title Encoding for Live Video Streaming
Authors: V.V. Menon, H. Amirpour, M. Ghanbari, C. Timmerer
Venue: ICASSP 2022 – IEEE International Conference on Acoustics, Speech and Signal Processing
Citations: 39
Year: 2022
🕒 Introduces a real-time approach to optimize live streaming quality through encoding.
🤖 DeepStream: Video Streaming Enhancements using Compressed Deep Neural Networks
Authors: H. Amirpour, M. Ghanbari, C. Timmerer
Venue: IEEE Transactions on Circuits and Systems for Video Technology
Citations: 38
Year: 2022
🧠 Applies deep learning for enhanced video streaming performance and compression.
📦 Multi-Codec Ultra High Definition 8K MPEG-DASH Dataset
Authors: B. Taraghi, H. Amirpour, C. Timmerer
Venue: Proceedings of the 13th ACM Multimedia Systems Conference, pp. 216–220
Citations: 32
Year: 2022
🎞️ Presents a rich dataset to support benchmarking and research in 8K video streaming.

Conclusion

Dr. Hadi Amirpour’s sustained research excellence, technical innovations, and global academic contributions make him highly deserving of the Best Researcher Award. His work not only demonstrates scholarly depth and innovation but also shows clear translational impact on the future of multimedia technologies and intelligent streaming systems. His unique combination of interdisciplinary expertise, prolific output, and international leadership defines the essence of a world-class researcher.