Seyed Hessameddin Zegordi | Mathematical Modeling | Best Researcher Award

Published on by Research Scientist

Prof. Dr.Seyed Hessameddin Zegordi | Mathematical Modeling | Best Researcher Award

Tarbiat Modares University, Iran

Professor Seyed Hessameddin Zegordi  is a distinguished academic in Industrial & Systems Engineering at Tarbiat Modares University, Tehran. With an impressive career spanning over three decades , he has made lasting contributions to academia, industry, and government. Holding a Ph.D. from Tokyo Institute of Technology , he has specialized in optimization, production systems, and supply chain disruption management. He served as department head for 9 years and contributed as a research and education deputy for 3 years . Beyond academia, Dr. Zegordi has consulted for top industrial firms and government ministries on business process reengineering and strategic systems design . Fluent in English and Japanese , he bridges global knowledge with local impact. With an h-index of 28 , he remains a thought leader in operational research and smart industrial strategies. His lifelong dedication to engineering education and innovation continues to shape the next generation of industrial experts .

Professional Profile

SCOPUS

ORCID

Education & Experience 

Professor Zegordi earned his BSc in Industrial Engineering from Isfahan University of Technology (1987), followed by an MSc from Sharif University of Technology (1990), and later, a Ph.D. in Industrial Engineering & Management from Tokyo Institute of Technology (1994) . Starting as an Assistant Professor in 1994, he rose to become a Full Professor by 2016 . He has held key academic roles including Head of Department for 9 years and Research Deputy at the Engineering Faculty for 3 years 🏢. His industrial journey began even earlier — as General Manager at Avand Plastic and Production Planning Director at Darou Pakhsh . Since 2000, he has served as Strategy Advisor at Iran Khodro, one of the country’s largest automakers . His dual-track experience in academia and industry reflects a rare blend of theoretical depth and practical leadership, making him a mentor and innovator in industrial systems development .

Professional Development 

Prof. Zegordi has steadily advanced in both academia and industry . Starting his academic journey in 1994 as Assistant Professor, he moved up to Full Professor by 2016, based on his research, mentorship, and teaching excellence . He has led multiple strategic roles including Department Head, Research Deputy, and Education Advisor, influencing curriculum design, faculty development, and cross-disciplinary collaboration . His expertise in optimization, layout design, and supply chain disruption has made him a key consultant for national ministries and major companies like Iran Khodro . He has supervised numerous PhD and Master’s theses and is regularly invited to review scientific publications and contribute to engineering textbooks . Fluent in English and Japanese , he frequently collaborates internationally and has translated significant academic work into Farsi. Prof. Zegordi embodies a commitment to bridging theory and application in the dynamic world of industrial engineering and systems innovation .

Research Focus 

Prof. Zegordi’s research lies at the intersection of operations research, production systems, and supply chain engineering . He specializes in mathematical modeling, intelligent optimization techniques like simulated annealing and genetic algorithms, and performance measurement systems . A pioneer in disruption management, he has developed robust strategies for supply chain continuity amid uncertainties . His work in Business Process Reengineering (BPR) has been instrumental for Iran’s Ministries of Foreign Affairs, Labor, and Cooperatives, guiding institutional transformation using data-driven methods . Other focal areas include facility layout, quality function deployment (QFD), and lean manufacturing systems . By combining computational models with strategic frameworks, he enhances both tactical decision-making and long-term resilience in operations . His multidisciplinary approach, integrating engineering, management, and technology, positions him as a key contributor to the evolution of smart and sustainable industrial ecosystems .

Awards & Honors 

While specific awards were not listed, Prof. Zegordi’s accolades are reflected in his long-standing leadership, international collaborations, and scholarly achievements . With an h-index of 28 on Google Scholar , he has significantly influenced the fields of industrial engineering, optimization, and supply chain management. His publications, translated books, and invited book chapters with Springer and IGI Global demonstrate global recognition . Serving as an academic advisor and curriculum developer for nearly 30 years, he has guided numerous students to successful academic and industry careers . His selection as a consultant for national ministries and major companies like Iran Khodro signifies his trustworthiness and strategic vision at a national level . Furthermore, his multilingual abilities and cross-cultural education in Japan enhance his role in international partnerships . These cumulative honors underscore Prof. Zegordi’s reputation as a respected, forward-thinking, and impactful researcher and educator in the global engineering community .

Publication of Top Notes

1.Proposing a Model Based on Deep Reinforcement Learning for Real‑Time Scheduling of Collaborative Customization Remanufacturing
  • Authors: Seyed Ali Yazdanparast; Seyed Hessameddin Zegordi; Toktam Khatibi
  • Year: 2025 (published February 18, early issue dated August 2025)
  • Journal: Robotics and Computer‑Integrated Manufacturing, Vol. 94, Article 102980 sciencedirect.com+9booksci.cn+9dblp.org+9
  • DOI: 10.1016/j.rcim.2025.102980
  • Summary: The study presents a multi-agent deep Q-network approach to schedule real-time tasks in remanufacturing customized products. Simulations in a smartphone assembly context (46,656 configurations) show the approach outperforms combined genetic algorithms, reducing factory cost by over 6%. This model addresses the challenge of disruption and real-time rescheduling in remanufacturing lines efficiently dblp.org+8booksci.cn+8ivysci.com+8.
2.The Type of Supplier Involvement in New Product Development in the Automotive Industry: Metaheuristic-based K-Means Clustering and Analytic Hierarchical Process Methods
  • Authors: Esmat Taghipour Anari; Seyed Hessameddin Zegordi; Amir Albadvi
  • Year: 2025 (published online January 14)
  • Journal: Journal of Advances in Management Research
  • DOI: 10.1108/JAMR‑03‑2024‑0095
  • Summary: This article investigates supplier roles in automotive product development. Combining metaheuristic clustering and AHP methods, it categorizes supplier involvement types and their strategic importance. Contributions include a novel classification framework guiding supplier integration and collaboration in innovation contexts.
3.An Integrated System Dynamics Model of Electricity Production, Consumption, and Export Policy in Iran Considering Carbon Emissions
  • Authors: Maryam Doroodi; Bakhtiar Ostadi; Ali Husseinzadeh Kashan; Seyed Hessameddin Zegordi
  • Year: 2024 (October)
  • Journal: Utilities Policy
  • DOI: 10.1016/j.jup.2024.101795
  • Summary: Using system dynamics, the study models Iran’s electricity sector, forecasting production, consumption, and export policies under carbon constraints. The model quantifies trade-offs between energy policy and emissions targets, offering strategic insights for policy adaptation.
4.A Sustainable Supply Chain Model for Time‑Varying Deteriorating Items Under Promotional Cost-Sharing Policy and Three‑Level Trade Credit Financing
  • Authors: Leyla Aliabadi; Seyed Hessameddin Zegordi; Ali Husseinzadeh Kashan; Mohammad Ali Rastegar
  • Year: 2024 (June)
  • Journal: Operational Research
  • DOI: 10.1007/s12351‑024‑00824‑x
  • Summary: This research develops a sustainable supply chain framework for perishable goods, incorporating promotional cost-sharing and multi-tier trade credit. The model optimizes inventory planning, financing, and pricing under varying deterioration rates, improving profit and sustainability.
5.A Tailored Meta-Heuristic for the Autonomous Electric Vehicle Routing Problem Considering the Mixed Fleet
  • Authors: Maryam Farahani; Seyed Hessameddin Zegordi; Ali Husseinzadeh Kashan
  • Year: 2023
  • Journal: IEEE Access
  • DOI: 10.1109/ACCESS.2023.3237481
  • Summary: The article proposes a customized metaheuristic algorithm to route autonomous electric vehicles in mixed fleets. The algorithm balances cost, distance, emissions, and charging constraints, offering improved routing efficiency and environmental impact.
6.A Multi‑Stage Stochastic Programming Approach for Supply Chain Risk Mitigation via Product Substitution
  • Authors: Seyed Mahdi Ghorashi Khalilabadi; Seyed Hessameddin Zegordi; Ehsan Nikbakhsh
  • Year: 2020 (November)
  • Journal: Computers & Industrial Engineering
  • DOI: 10.1016/j.cie.2020.106786
  • Summary: This study formulates a stochastic programming model that enables product substitution to buffer against supply chain disruptions. The multi-stage approach balances cost, service level, and risk, offering a quantitative tool for resilient operations planning.

Conclusion

 Prof. Zegordi’s contributions bridge research innovation and strategic industrial impact. His publications in IEEE Access, Robotics and Computer-Integrated Manufacturing, and Computers & Industrial Engineering emphasize both technical rigor and societal relevance. His leadership, academic service, and collaborative industry roles make him a strong and deserving candidate for the Best Researcher Award in engineering and systems sciences.

Assist. Prof. Dr Shafqat Ur Rehman | Applied Mathematics | Innovative Research Award

Published on by Research Scientist

Assist. Prof. Dr Shafqat Ur Rehman | Applied Mathematics | Innovative Research Award

Assistant Professor , Grand Asian university Sialkot , Pakistan

Dr. Shafqat-ur-Rehman 🧠 is a passionate and prolific researcher in the field of nonlinear wave theory, optical solitons 🌊, and mathematical physics. With over a decade of experience in applied mathematics and fiber optics, he has significantly contributed to the study of soliton dynamics, modulation instability, and Schrödinger-type equations 🔬. His numerous peer-reviewed publications in journals like Physica Scripta, Alexandria Engineering Journal, and Modern Physics Letters B showcase his global impact 📚🌍. Dr. Rehman is dedicated to advancing knowledge in mathematical modeling and has earned respect in the academic and engineering communities 🏅.

Professional Profile

SCOPUS

GOOGLE SCHOLAR

Education & Experience 

Dr. Rehman obtained his academic training in mathematics and applied physics, culminating in a Ph.D. in Applied Mathematics 🎓. He has held academic and research positions at reputable institutions, contributing to various national and international projects on nonlinear waves and optics 🌐. With experience spanning more than 10 years, he has co-authored studies on soliton dynamics, wave propagation, and fractional calculus 📘. His collaborative work across countries and journals has made him a sought-after voice in the mathematical physics domain 🧮. He combines academic depth with a real-world approach to problem-solving in optical engineering and nonlinear dynamics 🔧🌟.

Professional Development 

Dr. Rehman has demonstrated continuous professional growth through collaborations, advanced modeling techniques, and international publication success 📊🧑‍💼. He has co-developed models for perturbed nonlinear Schrödinger equations and contributed to fiber optic design through stability analysis and soliton exploration 🌍💡. His proficiency in modern mathematical tools, analytical methods, and symbolic computation has made him a mentor to many early-career researchers 👨‍🏫. He has presented at academic conferences and actively participates in the peer-review process for high-impact journals ✍️🗂️. His professional journey reflects commitment, scientific curiosity, and leadership in nonlinear wave research 🔄📉.

Research Focus

Dr. Rehman’s research revolves around nonlinear partial differential equations, particularly the Schrödinger-type models, soliton theory, and modulation instability in optical fibers 🔬🌐. He specializes in exploring the dynamics of bright-dark solitons, Gaussian wave structures, and chiral effects in (2+1)D and (3+1)D systems 📈💡. His work also touches on stochastic equations, fractional calculus, and birefringent fiber modeling, contributing to a better understanding of wave propagation, optical communication, and fiber stability 📡🌊. With a blend of analytical and numerical methods, Dr. Rehman pushes the frontiers of mathematical physics, soliton interactions, and nonlinear dynamics 🚀🧠.

Awards and Honors

Dr. Shafqat-ur-Rehman has received broad recognition for his impactful work in nonlinear optics and mathematical physics 🏆. He has consistently ranked among top contributors in journals such as Physica Scripta, Optik, and Communications in Theoretical Physics, reflecting high citation counts and scholarly influence 📊📚. His research has attracted attention for solving complex equations using novel techniques and analytical frameworks 🧪. Though not all awards may be publicly listed, his frequent collaborations, editorial contributions, and international co-authorship signify prestige in academic circles 🌍📝. He continues to inspire through excellence in theoretical modeling and applied mathematics 🥇

Publication Top Notes

1. Modulation Instability Analysis and Longitudinal Wave Propagation in an Elastic Cylindrical Rod Modeled with the Pochhammer–Chree Equation

Citation:
A.R. Seadawy, S.U. Rehman, M. Younis, S.T.R. Rizvi, S. Althobaiti, M.M. Makhlouf. Physica Scripta, 96(4): 045202, 2021. (125 citations) discovery.researcher.life+10scholar.google.com+10ww2.comsats.edu.pk+10

Summary:
This study explores solitary wave propagation in cylindrical elastic rods using the nonlinear Pochhammer–Chree equation. Through the innovative Φ⁶-model expansion method, the authors derive a variety of analytical solutions—including bright-dark, kink, singular, rational, trigonometric, and Jacobi elliptic solitons. Additionally, a thorough modulation instability (MI) analysis was conducted, supported by 2D and 3D profile visualizations. This work enhances understanding of stability regimes and wave dynamics, offering a powerful symbolic-computation approach for complex wave modeling in elastic media sciencedirect.com+15colab.ws+15kiphub.com+15.

2. Modulation Instability Analysis, Optical and Other Solutions to the Modified Nonlinear Schrödinger Equation

Citation:
M. Younis, T.A. Sulaiman, M. Bilal, S.U. Rehman, U. Younas. Communications in Theoretical Physics, 72(6): 065001, 2020. (109 citations)

Summary:
This paper presents an in-depth analytical investigation of the modified nonlinear Schrödinger equation. The authors obtain diverse optical solutions, including bright, dark, and hybrid forms. They also explore modulation instability mechanisms, offering vital insights for practical fiber optic systems. The results advance theoretical modeling of light–matter interactions under nonlinear effects in optics.

3. Optical Bright–Dark and Gaussian Soliton with Third-Order Dispersion

Citation:
M. Younis, U. Younas, S. ur Rehman, M. Bilal, A. Waheed. Optik, 134: 233–238, 2017. (96 citations)

Summary:
The authors investigate soliton behavior under the influence of third-order dispersion. They derive explicit bright-dark and Gaussian-type solitons, revealing how higher-order dispersion shapes soliton profiles. This work helps model ultra-short pulse evolution in nonlinear optical fibers—a key aspect of high-speed communications.

4. Dynamics of Soliton Solutions in Optical Fibers Modeled by Perturbed Nonlinear Schrödinger Equation and Stability Analysis

Citation:
S. Akram, J. Ahmad, S. Sarwar, A. Ali. Optical and Quantum Electronics, 55(5): 450, 2023. (75 citations)

Summary:
Examines dynamic behavior and stability of solitons under various perturbations in fiber systems. Analytical and numerical stability evaluation helps clarify robustness of soliton solutions in realistic optical environments.

5. New Exact Traveling Wave Solutions to the (2+1)-Dimensional Chiral Nonlinear Schrödinger Equation

Citation:
H. Rezazadeh, M. Younis, M. Eslami, M. Bilal, U. Younas. Mathematical Modelling of Natural Phenomena, 16: 38, 2021. (72 citations)

Summary:
Derives new exact traveling wave solutions in (2+1)D chiral nonlinear Schrödinger systems, relevant to fractional quantum Hall edge-state models. Includes parameter-based solution families and stability criteria.

6. New Exact Solitary Wave Solutions for the 3D‑FWBBM Model in Arising Shallow Water Waves by Two Analytical Methods

Citation:
M. Bilal, J. Ahmad. Results in Physics, 25: 104230, 2021. (54 citations)

Summary:
Introduces novel analytical solutions for the 3D Five-Wave Benjamin–Bona–Mahony shallow-water wave model, employing two independent methods. Solutions provide insights into 3D wave dynamics in fluids.

7. Diverse Optical Solitons to Nonlinear Perturbed Schrödinger Equation with Quadratic‑Cubic Nonlinearity via Two Efficient Approaches

Citation:
S.U. Rehman, J. Ahmad. Physica Scripta, 98(3): 035216, 2023. (53 citations)

Summary:
Presents multiple optical soliton solutions—including bright, dark, and mixed types—in nonlinear Schrödinger equations with quadratic-cubic terms. Compares two analytical techniques, enriching soliton modeling strategies.

8. Modulation Instability Analysis and Optical Solitons in Birefringent Fibers to RKL Equation Without Four‑Wave Mixing

Citation:
S. ur Rehman, J. Ahmad. Alexandria Engineering Journal, 60(1): 1339–1354, 2021. (49 citations)

Summary:
Investigates MI and soliton dynamics in birefringent optical fibers governed by the Radhakrishnan–Kundu–Lakshmanan (RKL) equation, excluding four-wave mixing. Analytical MI bands and soliton profiles are detailed.

9. Dynamics of Novel Exact Soliton Solutions to Stochastic Chiral Nonlinear Schrödinger Equation

Citation:
S.U. Rehman, J. Ahmad, T. Muhammad. Alexandria Engineering Journal, 79: 568–580, 2023. (46 citations)

Summary:
Focuses on stochastic chiral nonlinear Schrödinger equations, deriving new exact soliton forms. Addresses impacts of randomness on soliton stability and dynamics.

10. Investigation of Optical Solitons in Birefringent Polarization‑Preserving Fibers with Four‑Wave Mixing Effect

Citation:
M. Younis, M. Bilal, S. ur Rehman, U. Younas, S.T.R. Rizvi. International Journal of Modern Physics B, 34(11): 2050113, 2020. (46 citations)

Summary:
Explores complex soliton productions involving four-wave mixing in birefringent fibers. Analytical treatment reveals interactions among polarization modes and nonlinear effects.

11. The Study of Solitary Wave Solutions to the Time-Conformable Schrödinger System by a Powerful Computational Technique

Citation:
S.U. Rehman, M. Bilal, J. Ahmad. Optical and Quantum Electronics, 54(4): 228, 2022. (45 citations)

Summary:
Derives solitary wave solutions for time-conformable Schrödinger systems using a computational symbolic method. Focuses on fractional-time dynamics with soliton relevance.

12. Modulation Instability Analysis and Optical Solitons of the Generalized Model for Pulse Propagation in Optical Fiber with Four Nonlinear Terms

Citation:
S.U. Rehman, A.R. Seadawy, M. Younis, S.T.R. Rizvi, T.A. Sulaiman, A. Yusuf. Modern Physics Letters B, 35(6): 2150112, 2021. (44 citations)

Summary:
Addresses a generalized pulse propagation model including four nonlinearities. Analytical MI spectra and soliton constructions are provided.

Conclusion

Dr. Shafqat-ur-Rehman’s research is not only innovative and theoretically rigorous, but also practically relevant to modern engineering and physics problems. His ability to bridge abstract mathematics with physical phenomena, and his contributions to the frontier of nonlinear optics, make him highly deserving of the Innovative Research Award. His work demonstrates originality, impact, and sustained excellence in advancing the state of knowledge in his field.