Saeed Farsad | Optimization | Excellence in Research

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Dr. Saeed Farsad | Optimization | Excellence in Research

Assistant Professor at Birjand University of Technology, Iran

Dr. Saeed Farsad is an accomplished researcher and academic with expertise in experimental fluid dynamics, renewable energy, and heat transfer. He holds a Ph.D. in Mechanical Engineering from the Iranian Research Organization for Science and Technology (IROST) and has extensive experience in wind/water tunnel testing, aerodynamics, and energy conversion systems. Currently serving as an Assistant Professor at Birjand University of Technology (BUT), he has published numerous high-impact journal articles in Q1 and Q2-ranked journals, focusing on vortex shedding, energy storage, and thermo-fluidic properties. His research contributions extend beyond academia, including patents, award papers, and a book on solar desalination. With international collaborations at Toronto Metropolitan University and York University, Dr. Farsad has strengthened his global research footprint. Recognized as an Elective Researcher of the Province, his work has significant industrial and academic applications, making him a prominent figure in mechanical and applied engineering sciences.

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Education

Dr. Saeed Farsad holds a Ph.D. in Mechanical Engineering from the Iranian Research Organization for Science and Technology (IROST), specializing in experimental fluid dynamics, wind/water tunnel tests, and advanced measurement techniques. He completed his M.Sc. in Mechanical Engineering – Energy Conversion at the University of Sistan & Baluchestan, where he focused on solar desalination, heat transfer, and numerical simulations. His B.Sc. in Automotive Technology from the Technical College of Mashhad provided a strong foundation in vehicle systems, transmission lines, and automotive engineering. His academic journey showcases a deep multidisciplinary approach, integrating energy systems, experimental fluid mechanics, and automotive applications. With supervisors from renowned institutions, his education has been instrumental in shaping his expertise in thermo-fluid sciences and renewable energy applications. His ability to blend theoretical knowledge with practical applications has led to impactful research contributions, journal publications, and patented innovations in mechanical and automotive engineering.

Professional Experience

Dr. Saeed Farsad has over a decade of professional experience, combining academic research, teaching, and industry involvement. He is currently an Assistant Professor at Birjand University of Technology (BUT), where he teaches courses in fluid mechanics, statics, technical drawing (CATIA), and automotive technology. His international exposure includes a Visiting Assistant Professorship at Toronto Metropolitan University (TMU) and a Research Assistant position at York University, where he contributed to energy storage and fluid mechanics research. Beyond academia, Dr. Farsad has worked in the automotive industry, including roles at Toyota Motor Manufacturing Canada (TMMC) and Mechatronic Diagnostic Inc., where he gained hands-on experience in diagnostics and assembly line operations. His expertise spans experimental fluid flow measurement, energy systems, and mechanical design, making him a versatile researcher and educator with a unique blend of theoretical and applied engineering knowledge.

Research Interest

Dr. Saeed Farsad’s research interests lie in experimental fluid dynamics, renewable energy, and heat transfer. His work focuses on vortex shedding, aerodynamics, and thermo-fluidic properties, with applications in wind and water tunnel experiments. He has also made significant contributions to solar desalination, adsorption-based energy storage, and magnetic nanofluid heat transfer. His interdisciplinary research integrates advanced experimental techniques such as Particle Image Velocimetry (PIV), Laser Doppler Velocimetry (LDV), and Hot-Wire Anemometry (HWA) to enhance the understanding of fluid flow and heat exchange mechanisms. In addition, Dr. Farsad explores automotive aerodynamics, energy-efficient HVAC systems, and turbulence modeling, bridging the gap between engineering applications and sustainable energy solutions. His collaborations with international researchers in Canada and Iran further strengthen his impact in the global scientific community, ensuring that his research contributes to both theoretical advancements and industrial applications.

Awards and Honors

Dr. Saeed Farsad has received several awards and recognitions for his contributions to mechanical engineering and applied sciences. He was honored as the Elective Researcher of the Province in 2011, recognizing his pioneering research in fluid mechanics and energy systems. His academic excellence is reflected in his third-place ranking in Associate Graduate Courses at Mashhad Technical College and his 16th rank among 6,000 applicants in the B.Sc. Automotive Mechanics Entrance Exam. His innovative research has led to multiple patents, including a Smart Filter equipped with an alarm system and a device for the collection and separation of machine tool waste. With publications in high-impact journals and invitations to prestigious international awards, Dr. Farsad’s achievements highlight his significant contributions to engineering innovation and scientific advancements.

Conclusion

Dr. Saeed Farsad is a highly accomplished researcher, educator, and engineer with expertise in experimental fluid dynamics, renewable energy, and heat transfer. His strong academic background, diverse professional experience, and impactful research contributions make him a leading figure in mechanical engineering. His ability to integrate theoretical research with practical applications has resulted in high-impact journal publications, patents, and industrial collaborations. His work in aerodynamics, solar desalination, and energy storage has broad implications for sustainable engineering and environmental solutions. With international research experience and teaching roles in Canada and Iran, Dr. Farsad has established himself as a global expert in his field. His dedication to scientific excellence and innovation positions him as a strong candidate for prestigious research awards, reinforcing his influence in the engineering and academic communities worldwide.

Publications Top Noted

 

Ioan Stancu-MInasian | Operations Research | Best Researcher Award

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Prof. Dr. Ioan Stancu-MInasian | Operations Research | Best Researcher Award

Main Research Worker at “Gheorghe Mihoc-Caius Iacob” Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy, Romania

Prof. Ioan M. Stancu-Minasian was a distinguished Romanian mathematician renowned for his contributions to optimization theory, operations research, and mathematical programming. With a prolific academic career, he authored numerous influential research papers and books that advanced the field of mathematical optimization. His work played a crucial role in developing new methodologies and theoretical frameworks in linear and nonlinear programming, duality theory, and multi-objective optimization. A dedicated educator and researcher, he mentored many students and collaborated with international scholars, significantly impacting the global mathematical community. His research was widely recognized, earning him prestigious accolades and positions in leading mathematical societies. Through his groundbreaking work, Prof. Stancu-Minasian left an enduring legacy that continues to influence modern mathematical research and its applications across various disciplines, including economics, engineering, and decision sciences. His dedication to advancing mathematical knowledge remains an inspiration for future generations of researchers and scholars.

Professional Profile 

ORCID Profile

Education

Prof. Ioan M. Stancu-Minasian received his formal education in mathematics from a prestigious Romanian university, where he developed a strong foundation in mathematical analysis, optimization, and operations research. His academic journey was marked by excellence, earning advanced degrees, including a Ph.D., with a focus on optimization theory and mathematical programming. Throughout his studies, he was deeply influenced by leading mathematicians and engaged in rigorous research that laid the groundwork for his future contributions to the field. His academic training equipped him with the analytical skills and theoretical insights necessary to develop innovative methodologies in optimization. His education was further enriched through international collaborations, awards, and advanced training programs, allowing him to stay at the forefront of mathematical advancements. His commitment to lifelong learning and academic excellence positioned him as a leading expert in optimization theory, setting the stage for a prolific research and teaching career that spanned several decades.

Professional Experience

Prof. Ioan M. Stancu-Minasian had a distinguished professional career, serving as a professor and researcher in esteemed academic institutions. His tenure included positions at top Romanian universities and research institutes, where he played a pivotal role in advancing the study of optimization and operations research. He contributed significantly to curriculum development, mentoring students, and fostering research collaborations both nationally and internationally. Beyond academia, he actively participated in mathematical societies, editorial boards of prestigious journals, and international awards, where he shared his expertise and insights. His professional engagements also included collaborative projects with industry and government agencies, applying mathematical optimization techniques to solve real-world problems in economics, engineering, and decision sciences. As a visiting professor and guest lecturer, he enriched the academic community globally, influencing scholars and researchers worldwide. His unwavering dedication to the mathematical sciences cemented his reputation as a leader in the field, shaping future generations of mathematicians.

Research Interest

Prof. Ioan M. Stancu-Minasian’s research interests were centered on optimization theory, operations research, and mathematical programming. His work encompassed linear and nonlinear programming, duality theory, and multi-objective optimization, contributing to both theoretical advancements and practical applications. He was particularly interested in the development of new optimization models that addressed complex decision-making problems in economics, engineering, and applied sciences. His research extended to fractional programming, stochastic optimization, and parametric programming, where he introduced novel methodologies that influenced contemporary mathematical studies. A prolific author, he published extensively in high-impact journals and authored several books that became fundamental resources for researchers and students alike. His interdisciplinary approach allowed him to collaborate with experts from diverse fields, broadening the scope and impact of his work. His research not only advanced mathematical theory but also provided practical solutions to real-world optimization challenges, making a lasting contribution to the global scientific community.

Awards and Honors

Prof. Ioan M. Stancu-Minasian received numerous awards and honors in recognition of his outstanding contributions to mathematics and optimization theory. His groundbreaking research earned him accolades from prestigious mathematical societies, research institutions, and academic organizations. He was honored with distinguished awards for his work in mathematical programming and operations research, highlighting his influence in advancing the field. His contributions were recognized through honorary memberships in scientific academies, invitations to deliver keynote lectures at international awards, and editorial positions in leading mathematical journals. His achievements also included prestigious research grants and fellowships that supported his pioneering work. The recognition he received reflected not only his individual accomplishments but also his broader impact on mathematical sciences and applied research. His legacy continues to be celebrated through citations of his work, academic honors, and the ongoing influence of his research in optimization theory and its applications in various domains.

Conclusion

Prof. Ioan M. Stancu-Minasian was a visionary mathematician whose contributions to optimization theory and operations research left an indelible mark on the field. Through his extensive research, influential publications, and dedication to education, he shaped the study of mathematical programming and inspired countless students and researchers. His interdisciplinary approach and commitment to solving real-world optimization problems cemented his reputation as a leading expert in applied mathematics. His legacy extends beyond his academic achievements, as his work continues to be referenced and built upon by future generations. His dedication to fostering mathematical knowledge and international collaboration strengthened the global research community, making his influence enduring and far-reaching. Prof. Stancu-Minasian’s lifetime of contributions serves as an inspiration, reminding us of the profound impact that mathematical research can have on science, technology, and society. His work remains a cornerstone in optimization theory, ensuring his place among the most respected figures in the mathematical sciences.

Publications Top Noted

  1. Fractional Programming

    • Authors: I.M. Stancu-Minasian
    • Year: 1997
    • Publisher: Springer Netherlands
    • ISBN: 9789401065047
    • Source:
      scholargps.com

  2. Fractional Programming: Theory, Methods and Applications

    • Authors: I.M. Stancu-Minasian
    • Year: 2012
    • Publisher: Springer Science & Business Media
    • Source:
      scholar.google.com

Selected Articles:

  1. Stochastic Multiobjective Optimization: Sample Average Approximation and Applications

    • Authors: Neelima Shekhawat, Ioan Stancu-Minasian, Vivek Singh
    • Year: 2025
    • Journal: Journal of Multi-Criteria Decision Analysis
    • Source:
      Wiley Online Library

  2. A Compromise Solution Method for the Multiobjective Minimum Risk Problem

    • Authors: Fatima Bellahcene, Philippe Marthon
    • Year: 2021
    • Journal: Operational Research
    • Source:
      RePEc Ideas

  3. On Interval-Valued Vector Variational-Like Inequalities and Vector Optimization Problems

    • Authors: Balendu Bhooshan Upadhyay, Ioan Stancu-Minasian, Subham Poddar, Priyanka Mishra
    • Year: 2023
    • Journal: Mathematical Foundations of Computing
    • Source:
      aimsciences.org

 

Zohaib Khan | Optimization | Best Researcher Award

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Dr. Zohaib Khan | Optimization | Best Researcher Award

Jiangsu University, China

Zohaib Khan is a dedicated researcher specializing in machine learning, object detection, and control science engineering, with a strong focus on precision agriculture and AI-driven automation. Currently pursuing a PhD at Jiangsu University, China, he has made significant contributions to deep learning-based agricultural robotics, publishing multiple first-author papers in high-impact SCI Q1, Q2, and EI journals. His work emphasizes real-time detection, optimization algorithms, and AI-driven sustainability solutions. With extensive mentoring experience (50+ Bachelor’s and 10 Master’s students), he has played a key role in academic development. Zohaib has received numerous national and international awards, including first prizes in elite research and innovation competitions. His technical expertise spans Python, MATLAB, LaTeX, and AI-driven modeling, complementing his ability to lead interdisciplinary research. With a passion for advancing AI applications in agriculture, he continues to drive innovation in sustainable and automated farming solutions.

Professional Profile 

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Education

Zohaib Khan is currently pursuing a PhD in Control Science Engineering at Jiangsu University, China (2022–2026), specializing in machine learning and object detection. He previously earned an MSc in Electrical Engineering (2019–2022) from the same institution, focusing on power systems and renewable energy. His Bachelor’s degree in Electrical Power Engineering (2013–2017) from Swedish College of Engineering and Technology, Pakistan, laid the foundation for his technical expertise. His early academic years were marked by excellence, having completed Pre-Engineering at Fazaia Degree College (2011–2013) and his Secondary School Certificate (2009–2011) at Agricultural University Public School. Zohaib’s academic journey is distinguished by his strong analytical skills and passion for integrating AI and automation in engineering solutions. His education reflects a deep commitment to advanced research, innovation, and interdisciplinary problem-solving, positioning him as a future leader in AI-driven technologies and precision agriculture.

Professional Experience

Zohaib Khan has gained substantial experience in both academic research and engineering practice. As an intern at WAPDA, Pakistan, he developed hands-on expertise in power distribution and transmission lines, strengthening his understanding of grid operations and maintenance. Later, as an Electrical Engineer at LIMAK (JV) ZKB – CPEC Project (2017–2018), he contributed to electrical system design, installation, and maintenance, gaining valuable project management experience. His role involved troubleshooting, safety compliance, and interdisciplinary collaboration, enhancing his problem-solving capabilities. In academia, Zohaib has mentored over 50 Bachelor’s and 10 Master’s students, guiding them through research projects in machine learning, object detection, and automation. His strong writing, teaching, and IT skills have been instrumental in fostering innovation. His diverse experience, spanning applied research and engineering implementation, makes him a well-rounded professional capable of driving breakthroughs in AI-powered automation and precision agriculture.

Research Interest

Zohaib Khan’s research focuses on machine learning, deep learning, object detection, and AI-driven automation, with applications in precision agriculture and robotics. His studies revolve around real-time detection, optimization algorithms, and advanced control systems for agricultural sustainability and industrial automation. He has pioneered AI-driven precision farming techniques, developing deep learning-enhanced YOLOv7 and YOLOv8 algorithms for real-time crop health assessment and robotic spraying systems. Additionally, his work explores autonomous navigation in unstructured farmlands, energy-efficient control systems, and reinforcement learning for AI-based decision-making. His research extends to risk assessment in renewable energy systems, contributing to more efficient and resilient smart grids. Through interdisciplinary collaborations, Zohaib continues to push the boundaries of AI in sustainable agriculture, robotics, and industrial automation, aiming to develop intelligent, scalable, and high-impact solutions for modern technological challenges.

Awards and Honors

Zohaib Khan has received multiple prestigious awards recognizing his contributions to research, innovation, and academic excellence. He has won First Prizes in National Competitions, including the China University Business Elite Challenge (2024) and the Brand Planning Competition (2024). His research excellence was acknowledged with the Excellent Paper Award at the Sino-award (2021) and special recognition in Jiangsu Province Graduate Energy-saving and Low-Carbon Research Competition (2023). Additionally, he was honored as an Outstanding Student in the 17th “Yale School of Jiangsu University” program and received a Certificate of Excellence for Teaching Assistance. His leadership and public speaking skills earned him first place in an English debate at Jiangsu University. These accolades reflect his dedication to research, leadership in innovation, and commitment to advancing AI applications in engineering and agriculture, solidifying his reputation as a promising researcher in his field.

Conclusion

Zohaib Khan’s academic, professional, and research journey showcases his exceptional talent in AI-driven automation, machine learning, and precision agriculture. His extensive experience in research, mentoring, and engineering practice positions him as a leading scholar in intelligent agricultural robotics and sustainable AI applications. With a strong publication record in high-impact journals (SCI Q1, Q2, and EI) and multiple national and international awards, he has demonstrated his ability to drive innovation and solve real-world problems. His work in deep learning-based automation and AI-driven optimization techniques continues to push the boundaries of technology for sustainability and efficiency. As he progresses in his career, Zohaib remains committed to advancing cutting-edge research, fostering academic collaborations, and contributing transformative solutions in AI, robotics, and smart energy systems. His dedication and achievements make him a strong candidate for prestigious research awards and a key contributor to the future of AI in engineering and agriculture.

Publications Top Noted