Tag: Community Engineering Award

Ali Khoshlahjeh Sedgh | Engineering | Best Researcher Award

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Mr. Ali Khoshlahjeh Sedgh | Engineering | Best Researcher Award

Co-Author at K. N. Toosi University of Technology, Iran

Ali Khoshlahjeh Sedgh is a highly motivated and accomplished electrical engineer with a deep passion for control systems and cybersecurity within cyber-physical systems. He holds both Bachelor’s and Master’s degrees in Electrical Engineering from K. N. Toosi University of Technology, where he consistently ranked among the top of his class. Ali has demonstrated excellence in academic performance, earning prestigious scholarships from the Iran National Elites Foundation and Ghalamchi Educational Foundation. His Master’s thesis, focused on implementing reinforcement learning methods for cyber-attack detection in liquid-level control systems, showcases his skill in combining theoretical models with practical application. Ali’s interests span fault detection, system identification, adaptive and robust control, and the integration of machine learning techniques such as neural networks and reinforcement learning into industrial control environments. He has authored several publications in high-ranking journals and conferences, highlighting his commitment to research and innovation. In addition to his technical expertise, he is an experienced educator and lab coordinator, having guided student projects and managed experimental research facilities. Ali’s work is characterized by a strong foundation in mathematical modeling, system design, and implementation, and his long-term vision is to contribute to the development of resilient, secure, and intelligent control systems for critical infrastructures worldwide.

Professional Profile

Education

Ali Khoshlahjeh Sedgh earned his Master of Science degree in Electrical Engineering with a specialization in Control from K. N. Toosi University of Technology, Tehran, graduating in 2024 with an outstanding GPA of 4.0 (19.08/20). His thesis, supervised by Prof. Hamid Khaloozadeh, focused on the “Practical Implementation of Reinforcement Learning Methods for Attack Detection in a Liquid Level Control Cyber-Physical System,” exemplifying his ability to integrate artificial intelligence techniques with industrial control systems. His graduate coursework included top marks in challenging subjects such as Fault Detection, System Identification, Adaptive Control, Optimal Filtering, and Robust Control. Prior to his master’s, Ali completed his Bachelor of Science in Electrical Engineering from the same university, graduating in 2021 with a GPA of 3.88/4. His undergraduate thesis involved designing a solar-powered forest fire alarm system using SMS module communication. Throughout his academic career, he consistently achieved top ranks in control engineering and was accepted into the Master’s program without an entrance exam due to his exceptional performance. Ali’s education is deeply rooted in both theoretical principles and practical experimentation, forming a strong foundation for his research in intelligent and secure control systems. His academic training reflects his dedication, curiosity, and capability for innovation in the field.

Professional Experience

Ali Khoshlahjeh Sedgh has built substantial professional experience through both academic and industrial roles, demonstrating a balance between research, teaching, and practical engineering applications. Since 2022, he has served as the Laboratory Coordinator at the Instrumentation Lab of K. N. Toosi University of Technology. In this role, he has managed research projects, supervised laboratory experiments, maintained equipment, organized exams, and supported student internships. His responsibilities included implementing cyber-physical security measures, designing experimental setups, and applying fault detection techniques in real systems. Ali’s involvement in the lab has allowed him to practically test advanced control strategies, including PI, LQT, and adaptive controllers, in coupled-tank systems. His commitment to knowledge sharing is further highlighted by his teaching experience, where he has worked as an instructor and teaching assistant in courses such as Engineering Probability. Additionally, Ali gained industry experience as an intern and later as an electrical engineer at Fahm Electronics from 2021 to 2022. During this time, he worked on medical rehabilitation equipment and industrial projects, including the design and development of a 3-degree-of-freedom platform. His strong work ethic earned him top evaluations. Ali’s professional journey showcases a dynamic profile of technical versatility, research leadership, and a strong orientation toward solving real-world engineering problems.

Research Interests

Ali Khoshlahjeh Sedgh’s research interests lie at the intersection of control engineering, cyber-physical systems, and artificial intelligence, with a focus on developing secure, resilient, and intelligent systems. He is particularly passionate about Fault Detection and Identification (FDI), where he explores both signal-based and model-based techniques to enhance system reliability in real-time industrial applications. System Identification also plays a central role in his work, allowing him to model and simulate complex dynamic systems accurately using both non-parametric and parametric methods. Ali has a strong interest in Adaptive and Robust Control, emphasizing strategies that ensure system stability and performance under uncertainties and disturbances. He is equally engaged in applying Machine Learning—especially Reinforcement Learning (RL) and Neural Networks (NN)—to control problems, including attack detection in cyber-physical systems. His recent research centers on using reinforcement learning methods to detect and mitigate cyber-attacks, such as denial-of-service (DoS), in liquid-level control systems. Through a combination of theoretical foundations and hands-on implementations, Ali aims to build control systems that can adaptively respond to anomalies and security threats. He envisions future applications of his research in smart grids, autonomous vehicles, and industrial automation, where system safety and resilience are increasingly critical in the face of evolving technological and cybersecurity challenges.

Research Skills

Ali Khoshlahjeh Sedgh possesses a robust set of research skills that span theoretical modeling, simulation, implementation, and experimental validation of advanced control systems. He is proficient in using MATLAB and Simulink for simulation and algorithm development, and has developed numerous tools for system identification, adaptive control, estimation theory, and fault detection. His coding skills in Python, C, and C++ complement his ability to apply machine learning and signal processing techniques in both time and frequency domains. Ali has implemented methods like Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and classifiers including KNN, Bayesian approaches, and Neural Networks such as MLP and RBF for fault diagnosis tasks. In estimation theory, he has used optimal filters like Kalman Filter, Wiener Filter, and maximum likelihood-based methods for state and parameter estimation. Ali has practically applied these techniques in a real coupled-tank system where he modeled and diagnosed faults and detected cyber-attacks using tools like Wireshark and protocols via Kali Linux. His control system toolbox includes robust PI controllers, LQT controllers, adaptive observers, and STR models. His strong command over experimental research, hardware-software integration, and system analysis reflects his ability to transform theoretical constructs into practical solutions for critical infrastructure systems.

Awards and Honors

Ali Khoshlahjeh Sedgh’s academic and research excellence has been consistently recognized through multiple awards and honors. He was ranked 2nd among all Master of Science students in Electrical Engineering – Control at K. N. Toosi University of Technology in 2024, a testament to his outstanding academic record and contribution to research. Earlier, in 2021, he graduated as the 3rd top student in the Control sub-major during his bachelor’s degree, which led to his direct admission into the master’s program without the need for a national entrance examination. Ali’s talent was further acknowledged through his receipt of scholarships from the Iran National Elites Foundation between 2021 and 2023, awarded to high-potential students contributing to science and technology in Iran. Additionally, he received a scholarship from the Ghalamchi Educational Foundation during his early undergraduate years in recognition of his academic promise. His active participation and presentation at international conferences—such as ITMS 2023 in Latvia—showcase his engagement with the global research community. These accolades reflect not only Ali’s scholarly dedication and innovative thinking but also his leadership potential and ability to stand out in highly competitive academic environments.

Conclusion

Ali Khoshlahjeh Sedgh represents the ideal convergence of deep technical expertise, hands-on research capability, and forward-thinking innovation in the field of control engineering. With a strong educational foundation from K. N. Toosi University of Technology and consistent recognition as a top-performing student, Ali has built a multifaceted academic and professional profile. His work bridges theory and practice, especially in developing intelligent, resilient control systems that address real-world issues such as cyber threats and fault tolerance in cyber-physical environments. Ali’s commitment to excellence is evident in his peer-reviewed publications, experimental projects, and his roles as both a laboratory coordinator and educator. He is driven by a desire to make meaningful contributions to modern engineering challenges, particularly in ensuring the security and reliability of automated systems. His future ambitions include pursuing advanced research, collaborating on interdisciplinary projects, and contributing to innovations in smart infrastructure, autonomous systems, and industrial automation. With a collaborative spirit, a deep curiosity for learning, and a relentless pursuit of practical solutions, Ali is well-positioned to lead and innovate in both academic and industry-driven environments. His journey so far reflects not just skill, but a vision for shaping the future of secure and adaptive control systems.

Publications Top Notes

  1. Title: Resilient Control for Cyber-Physical Systems Against Denial-of-Service Cyber Attacks Using Kharitonov’s Theorem
    Authors: H.R. Chavoshi, A.K. Sedgh, H. Khaloozadeh
    Year: 2023
    Citations: 2

  2. Title: Enhancing Cybersecurity in Nonlinear Networked Control Systems Through Robust PI Controller Design and Implementation Against Denial-of-Service Attacks
    Authors: A.H. Salasi, H.R. Chavoshi, O. Payam, A.K. Sedgh, H. Khaloozadeh
    Year: 2023
    Citations: 1

  3. Title: Practical Implementation of Multiple Faults in a Coupled-Tank System: Verified by Model-Based Fault Detection Methods
    Authors: H.R. Chavoshi, A.K. Sedgh, M.A. Shoorehdeli, H. Khaloozadeh
    Year: 2023
    Citations: 1

MARIO ORESTES AGUIRRE GONZALEZ | Engineering | Best Researcher Award

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Prof. MARIO ORESTES AGUIRRE GONZALEZ | Engineering | Best Researcher Award

Professor at Federal University of Rio Grande do Norte, Brazil

Mario Orestes Aguirre González is an accomplished academic and researcher in the field of production engineering, with expertise in product innovation, process optimization, and renewable energy systems. He holds a Ph.D. in Production Engineering with a focus on customer integration in product development from the Universidade Federal de São Carlos (UFSCar), Brazil. As an Associate Professor at the Federal University of Rio Grande do Norte (UFRN), he has significantly contributed to academic development and industry collaborations. Mario leads the CREATION research group, focusing on renewable energy value chains, including wind, solar, and hydrogen. His research is widely published in high-impact journals such as Journal of Cleaner Production and Energy Policy. He is also an active member of national and international energy committees, contributing to strategic initiatives in green hydrogen development.

Professional Profile

Education

Mario Orestes Aguirre González’s educational background is diverse and distinguished. He earned a Ph.D. in Production Engineering from UFSCar in 2010, specializing in customer integration in product development. Prior to that, he completed his Master’s degree in Production Engineering at UFRN in 2005, focusing on customer satisfaction and loyalty in the hospitality industry. He also holds a Bachelor’s degree in Industrial Engineering from the Universidad Nacional de Ingeniería, Peru, which he obtained in 2000. He has pursued specialized training in areas such as total quality management, innovation management, offshore renewable energy systems, and intellectual property. This robust educational foundation has equipped him with a multidisciplinary perspective essential for tackling complex challenges in engineering and innovation.

Professional Experience

Mario has held various impactful positions throughout his career. He is currently an Associate Professor at UFRN, where he teaches and conducts research in product engineering, innovation management, and global value chain coordination. He has previously served as President of the Institute for Innovation and Product Development Management (IGDP) and coordinated significant national conferences and workshops. Mario has also worked on industry-oriented projects with leading companies such as ABM, Vale, and Volkswagen, through the Materials Characterization and Development Center at UFSCar. His contributions extend to academic administration, serving as the vice-coordinator and coordinator of graduate programs at UFRN, and as an editor for Product: Management & Development.

Research Interests

Mario’s research interests are rooted in innovation, process optimization, and renewable energy systems. He is dedicated to advancing knowledge in global value chain integration for green technologies, with a particular focus on wind, solar, and hydrogen energy. His work explores product and process innovation, leveraging interdisciplinary approaches to optimize industrial and operational processes. Through his leadership of the CREATION research group, Mario investigates sustainable energy solutions, contributing to the development of efficient and innovative production systems. He is also committed to fostering the link between academia and industry, ensuring practical applicability and societal impact of his research.

Research Skills

Mario possesses extensive research skills in production and process engineering, including the development of reference models, customer integration, and quality management. He is proficient in utilizing advanced methodologies such as Six Sigma DMAIC, regression models, and risk analysis to drive innovation and efficiency. Mario’s technical expertise spans renewable energy technologies, such as offshore wind and solar power systems, as well as green hydrogen development. His skills in project management, interdisciplinary collaboration, and scholarly writing have enabled him to produce impactful research published in high-impact journals. Additionally, he has strong capabilities in mentoring graduate students and fostering industry-academic partnerships.

Awards and Honors

Mario’s academic and professional achievements have been recognized through numerous awards and honors. He is a CNPq Productivity Research Fellow (Level 2), highlighting his significant contributions to Brazilian research. He received scholarships from CAPES for his doctoral and master’s studies, reflecting his academic excellence. As President of the IGDP, he was instrumental in organizing national events that fostered innovation and collaboration. He has also been acknowledged for his pioneering efforts in renewable energy research, including his active role in the National Hydrogen Program. His diverse recognitions underscore his leadership, academic rigor, and commitment to advancing innovation in engineering.

Conclusion

Mario Orestes Aguirre González is a strong candidate for the Best Researcher Award. His extensive contributions to production engineering, renewable energy innovation, and academic leadership, combined with impactful publications and industry collaborations, make him a well-rounded and deserving nominee. Strategic efforts to enhance international engagement and intellectual property outputs could further elevate his profile in the global research community.

Publication Top Notes

  1. Offshore Wind Power Growth and Industrial Development in Emerging Markets
    • Authors: González, M.; Santiso, A.; Jones, D.; Vasconcelos, R.; Melo, D.
    • Year: 2024
    • Citations: 0
  2. Maturity Model for Sustainability Assessment of Chemical Analyses Laboratories in Public Higher Education Institutions
    • Authors: Souza, M.A.; González, M.O.A.; Pinho, A.L.S.D.
    • Year: 2024
    • Citations: 3
  3. Technology Mapping of Direct Seawater Electrolysis Through Patent Analysis
    • Authors: Medeiros Araújo de Moura, L.C.; Orestes Aguirre González, M.; de Oliveira Ferreira, P.; Gonçalves Vasconcelos Sampaio, P.
    • Year: 2024
    • Citations: 4
  4. Factors Influencing the Decision-Making Process at the End-of-Life Cycle of Onshore Wind Farms: A Systematic Review
    • Authors: Agra Neto, J.; González, M.O.A.; Castro, R.L.P.D.; Souza, L.H.D.; Cabral, E.L.D.S.
    • Year: 2024
    • Citations: 0
  5. Evaluation of Technological Development of Hydrogen Fuel Cells Based on Patent Analysis
    • Authors: Moura, L.; González, M.; Silva, J.; Ferreira, P.; Sampaio, P.
    • Year: 2024
    • Citations: 1
  6. Lean Development and Its Impacts on the Performance of New Product Processes: An Analysis of Innovative Brazilian Companies
    • Authors: de Toledo, J.C.; Pinheiro, L.M.P.; Poltronieri, C.F.; Barbalho, S.; González, M.O.A.
    • Year: 2023
    • Citations: 4
  7. Analysis of the Impact of Communication Campaigns Under the Project “Syphilis No”: A National Tool for Inducing and Promoting Health
    • Authors: Paiva, J.C.D.L.; Dias-Trindade, S.; Gonzalez, M.O.A.; Barbalho, I.M.P.; Valentim, R.A.D.M.
    • Year: 2022
    • Citations: 2
  8. Environmental Licensing for Offshore Wind Farms: Guidelines and Policy Implications for New Markets
    • Authors: Vasconcelos, R.M.D.; Silva, L.L.C.; González, M.O.A.; Santiso, A.M.; de Melo, D.C.
    • Year: 2022
    • Citations: 13
  9. A Review on Organic Photovoltaic Cell
    • Authors: Sampaio, P.G.V.; González, M.O.A.
    • Year: 2022
    • Citations: 28
  10. Contact Points Between Lean Six Sigma and Industry 4.0: A Systematic Review and Conceptual Framework
    • Authors: Sordan, J.E.; Oprime, P.C.; Pimenta, M.L.; Silva, S.L.; González, M.O.A.
    • Year: 2022
    • Citations: 31

 

ASHWIN R | Engineering | Best Researcher Award

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Mr. ASHWIN R | Engineering | Best Researcher Award

Research Scholar at SASTRA Deemed to be University, India.

Ashwin R. is a dedicated research scholar currently pursuing his Ph.D. in Mechanical Engineering at SASTRA Deemed University, Thanjavur. With an impressive academic background, including a Master’s degree in Thermal Engineering with a CGPA of 9.33 and a Bachelor’s degree in Mechanical Engineering, he has demonstrated exceptional analytical and problem-solving abilities. His research interests span heat transfer, thermal engineering, and renewable energy, reflected in several publications in reputable SCI-E journals. Proficient in advanced technical skills, such as AutoCAD, Ansys, and Python programming, Ashwin actively participates in national and international conferences, showcasing his research and enhancing his professional network. He is also a member of the Institution of Engineers India and the International Association of Engineers. With a commitment to continuous learning and innovation, Ashwin seeks to make significant contributions to the field of mechanical engineering through his research and collaborative efforts.

Profile:

Education

Ashwin R. is currently pursuing a Ph.D. in Mechanical Engineering at SASTRA Deemed University, Thanjavur, showcasing his dedication to advancing his academic qualifications and research capabilities. He holds a Master’s degree in Thermal Engineering from Saranathan College of Engineering, Trichy, where he achieved an impressive CGPA of 9.33 and earned the distinction of I-Rank from Anna University in 2021. His foundational education includes a Bachelor’s degree in Mechanical Engineering from the same institution, graduating in 2019 with a CGPA of 8.03. Ashwin’s academic journey is marked by excellence, beginning with his HSC from SFS Matriculation Higher Secondary School in Pudukkottai, where he scored 90.75%, and his SSLC, where he excelled with a 95% score. This strong educational background reflects his commitment to learning and positions him well for a successful career in engineering research and innovation.

Professional Experiences 

Ashwin R is a dedicated Research Scholar at the School of Mechanical Engineering, SASTRA Deemed University, where he is currently pursuing his Ph.D. in Mechanical Engineering. He previously completed his Master’s in Thermal Engineering with a remarkable CGPA of 9.33, earning the I-Rank from Anna University. His professional experience includes a strong focus on innovative projects, such as the design and fabrication of a thermo-electric refrigeration system and the automation of a wheelchair for quadriplegic patients utilizing MEMS sensors. Ashwin has actively presented his research at several national and international conferences, showcasing his commitment to advancing engineering knowledge. He has also published multiple papers in peer-reviewed journals, contributing valuable insights into sustainable fuel applications and renewable energy technologies. Additionally, Ashwin possesses technical skills in software such as AutoCAD and Ansys, and programming in Python, making him well-equipped for various engineering challenges and research opportunities.

Research Interests

Ashwin R’s research interests primarily lie in the fields of thermal engineering, heat transfer, and renewable energy. He is particularly focused on the development and optimization of sustainable energy solutions, including biofuels and their applications in internal combustion engines. His work involves the empirical investigation of alternative fuel blends, aimed at enhancing performance and reducing emissions in automotive applications. Additionally, Ashwin is interested in innovative technologies such as thermoelectric refrigeration and automation systems for assistive devices, exemplified by his project on a wheelchair for quadriplegic patients. He aims to explore the intersection of machine learning techniques and mechanical engineering to improve system efficiencies and predictive maintenance in engineering applications. Through his research, Ashwin seeks to contribute to the advancement of eco-friendly technologies that promote sustainability and address contemporary energy challenges, ultimately fostering a cleaner and more efficient future for energy utilization.

Research skills 

Ashwin R possesses a diverse array of research skills that make him a valuable asset in the field of mechanical engineering. His strong analytical abilities enable him to assess complex problems and develop effective solutions, particularly in areas such as heat transfer, thermal engineering, and renewable energy. Proficient in advanced software tools like AutoCAD, Ansys, and Python, Ashwin excels in both design and simulation, allowing him to conduct thorough analyses and optimize engineering processes. Additionally, his experience with machine learning techniques enhances his research capabilities, enabling him to apply innovative approaches to data interpretation and model development. Ashwin’s commitment to continuous learning is evident through his participation in workshops and webinars, where he has honed his skills in cutting-edge technologies. His effective communication skills allow him to articulate research findings clearly, making him an effective collaborator in academic and professional settings. Overall, Ashwin’s comprehensive skill set positions him for significant contributions to mechanical engineering research.

Award and Recognition 

Ashwin R has garnered significant recognition for his contributions to the field of mechanical engineering, particularly in thermal engineering and renewable energy. His exemplary academic performance culminated in receiving the I-Rank in his Master’s program, reflecting his commitment to excellence. Ashwin’s research has been published in several esteemed SCI-E journals, highlighting his innovative work in sustainable fuel applications, which has been well-received by the academic community. He has actively participated in numerous national and international conferences, where he presented his projects, earning accolades for his insightful presentations. Additionally, Ashwin’s membership in prestigious organizations, such as the Institution of Engineers India and the International Association of Engineers, underscores his dedication to professional development and networking within the engineering community. These achievements not only showcase his technical expertise but also his potential to make impactful contributions to the field, positioning him as a promising researcher in mechanical engineering.

Conclusion

Ashwin R exemplifies the qualities of a strong candidate for the Best Researcher Award through his academic achievements, research contributions, and technical skills. His dedication to advancing sustainable engineering practices and continuous learning positions him as a valuable asset to the field of mechanical engineering. By focusing on the suggested areas for improvement, Ashwin can further enhance his impact and effectiveness as a researcher, paving the way for future innovations and contributions to society.

Publication Top Notes
  1. Green synthesized nano-additive dosed biodiesel-diesel-water emulsion blends for CI engine application: Performance, combustion, emission, and exergy analysis
    • Authors: R. Manimaran, T. Mohanraj, R. Ashwin
    • Year: 2023
    • Journal: Journal of Cleaner Production
    • Volume/Page: 413, 137497
  2. Empirical study on Butanol-Ethanol-Gasoline blends using Artocarpus heterophyllus peel resource for eco-friendly gasoline engine application
    • Authors: R. Ashwin, T. Mohanraj
    • Year: 2024
    • Journal: Process Safety and Environmental Protection
  3. Experimental investigation on the characteristics of ternary blended fuel using Artocarpus heterophyllus peel: a sustainable fuel for gasoline engine applications
    • Authors: R. Ashwin, T. Mohanraj
    • Year: 2024
    • Journal: Biomass Conversion and Biorefinery
    • Volume/Page: 1-18

 

 

Khalid Masoodi | Biotechnology | Best Researcher Award

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Khalid Masoodi | Biotechnology | Best Researcher Award

Associate Professor at Sher-e-kashmir university of agricultural Sciences and technology of Kashmir, India.

Dr. Khalid Zaffar Masoodi is an accomplished researcher and academic in the field of biotechnology, currently serving as an Assistant Professor at the Sher-e-Kashmir University of Agricultural Sciences and Technology in Kashmir, India. With a career spanning over two decades, he has made significant contributions to plant biotechnology and molecular biology. Dr. Masoodi is recognized for his innovative research, particularly in gene discovery and cancer therapeutics, showcasing a strong commitment to advancing scientific knowledge and its practical applications. His entrepreneurial spirit is evident in his successful startup initiatives that aim to bridge the gap between research and real-world impact. With a robust publication record and numerous awards, Dr. Masoodi continues to be a leader in his field, inspiring the next generation of scientists and contributing to advancements in agricultural and medical biotechnology.

 

Profile:

Education

Dr. Khalid Zaffar Masoodi obtained his Bachelor’s degree in Botany (Hons) from Aligarh Muslim University, followed by a Master’s degree in Biotechnology from the University of Jammu. He then pursued his Ph.D. in Biotechnology at the same institution, where he worked under the supervision of Professor Manoj Kumar. To further enhance his expertise, Dr. Masoodi completed a post-doctoral fellowship at the University of Pittsburgh, USA, where he researched advanced biotechnological applications. His solid educational foundation in biological sciences has equipped him with the skills necessary to conduct high-level research and contribute to various academic and practical initiatives in biotechnology. This diverse academic background lays the groundwork for his innovative work in gene discovery and cancer therapeutics, positioning him as an influential figure in the field.

 

Professional Experiences 

With a career that began as a Lecturer at the University of Jammu, Dr. Khalid Masoodi has gained extensive experience in academia and research. He has held several significant positions, including Senior Resident at the Sher-e-Kashmir Institute of Medical Sciences and Post-Doctoral Associate at the University of Pittsburgh. In December 2014, he joined the Division of Plant Biotechnology at Sher-e-Kashmir University as an Assistant Professor, where he conducts research and teaches biotechnology courses. Throughout his career, Dr. Masoodi has mentored numerous students and researchers, fostering a collaborative environment in the lab. His diverse experiences across institutions in India and the USA have enriched his understanding of global research practices and have enabled him to make substantial contributions to the field of biotechnology, particularly in plant sciences and molecular research.

Research Interests

Dr. Khalid Masoodi’s research interests encompass a wide range of areas within biotechnology, with a particular focus on plant biotechnology, gene discovery, and cancer therapeutics. He is dedicated to exploring the molecular mechanisms of plant responses to environmental stress, aiming to enhance crop resilience and yield. Additionally, Dr. Masoodi investigates the genetic basis of diseases, particularly prostate cancer, developing innovative therapeutic strategies. His research also extends to the intersection of biotechnology and entrepreneurship, where he seeks to translate scientific discoveries into practical applications for the agricultural and medical sectors. This multifaceted approach not only contributes to fundamental scientific knowledge but also addresses real-world challenges, making his work relevant and impactful in today’s rapidly evolving landscape of biotechnology.

 

Research skills 

Dr. Khalid Masoodi possesses a comprehensive skill set essential for advanced research in biotechnology. His expertise includes molecular biology techniques such as PCR, gene cloning, and sequencing, which he applies in his investigations of plant and cancer biology. He is proficient in bioinformatics, utilizing computational tools to analyze genetic data and identify potential therapeutic targets. Dr. Masoodi’s strong background in plant tissue culture and genetic engineering allows him to explore innovative approaches to crop improvement. Moreover, he is adept at project management and has experience in leading research teams, fostering collaboration among students and colleagues. His ability to communicate complex scientific concepts effectively enhances his role as a mentor and educator, ensuring the dissemination of knowledge within the academic community.

 

Award And Recognition 

Dr. Khalid Zaffar Masoodi has received numerous awards and recognitions, highlighting his outstanding contributions to research and innovation in biotechnology. Internationally, he has been honored with eight awards, including a Certificate of Recognition for Agricultural Entrepreneurship from Western Sydney University and a Journal Award from the Society of Endocrinology, Glasgow. Domestically, he has earned over thirty-six national awards, such as the Achiever of the Year Award for establishing the first faculty startup at SKUAST-Kashmir and the National Education Brilliance Award for Excellence in Research. His accolades reflect not only his scientific achievements but also his commitment to advancing biotechnology in practical and entrepreneurial contexts. These recognitions underscore Dr. Masoodi’s influence as a leading researcher and his dedication to making significant contributions to both science and society.

 

Conclusion

Dr. Khalid Zaffar Masoodi’s blend of academic rigor, innovative research, and entrepreneurial efforts align well with the criteria for the Best Researcher Award. His contribution to biotechnology, particularly in plant and cancer research, along with his leadership and international recognition, makes him a strong candidate. Continued focus on expanding global research collaborations and high-impact publications could further elevate his profile as an award-winning researcher.

 

Publication Top Notes

Mapping phenotypic performance and novel SNPs for cold tolerance in tomato (Solanum lycopersicum) genotypes through GWAS and population genetics
Authors: Shah, L.R., Ahmed, N., Hussain, K., Bhat, B., Masoodi, K.Z.
Year: 2024
Citations: 1
Journal: BMC Genomic Data, 25(1), 9

Benzothiazole-Piperazine Hybrids Effectively Target C4-2 Castration-Resistant Prostate Cancer Cells in vitro Implicated through Computational Studies
Authors: Amin, A., Bhat, B.A., Ul-Khazir, Z., Sharma, P.K., Masoodi, K.Z.
Year: 2024
Citations: 1
Journal: ChemistrySelect, 9(27), e202401401

Phenotypic, biochemical and genetic diversity of pepper (Capsicum spp.) germplasm reflects selection for cultivar types and spatial distribution
Authors: Indrabi, S.A., Malik, A., Malik, G., Mansoor, S., Masoodi, K.Z.
Year: 2024
Citations: 0
Journal: Plant Biotechnology Reports, 18(3), 341–360

First Report of Fusarium flocciferum Causing Wilt Disease of Chili (Capsicum annuum) in Northern Himalayas
Authors: Parihar, T.J., Rasool, R.S., Khursheed, S., Ashraf Bhat, M., Masoodi, K.Z.
Year: 2024
Citations: 1
Journal: Plant Disease, 108(3), 800

Techniques for Biochemical Analysis
Authors: Hussain, K., Lone, S.M., Masoodi, K.Z., Balkhi, S.M.
Year: 2024
Citations: 0
Book: Techniques for Biochemical Analysis, pp. 1–234

Pathogenically altered Colletotrichum lindemuthianum transformants help in understanding the biochemical defense and colonization dynamics in Phaseolus vulgaris
Authors: Nabi, N., Nabi, A., Fayaz, T., Rashid, R., Padder, B.A.
Year: 2024
Citations: 1
Journal: Physiological and Molecular Plant Pathology, 129, 102208

Study on the impact of exogenously applied methyl jasmonate concentrations on Solanum lycopersicum under low temperature stress
Authors: Gul, N., Masoodi, K.Z., Ramazan, S., Mir, J.I., Aslam, S.
Year: 2023
Citations: 3
Journal: BMC Plant Biology, 23(1), 437

Polyphenolic diversity and antioxidant potential of important apple (Malus domestica Borkh) cultivars
Authors: Mansoor, S., Mir, J.I., Sharma, M., Masoodi, K.Z., Chung, Y.S.
Year: 2023
Citations: 2
Journal: Plant Biotechnology Reports, 17(5), 653–663

Elucidating the role of reactive oxygen species metabolism and phenylpropanoid pathway during an incompatible interaction between apple-Venturia inaequalis host-pathosystem
Authors: Mansoor, S., Sakina, A., Mir, M.A., Chung, Y.S., Masoodi, K.Z.
Year: 2023
Citations: 6
Journal: South African Journal of Botany, 160, 428–436

Gene expression of near-isogenic lines (NILs) carrying blast resistance genes Pi9 and Pi54 in the background of rice cultivar Mushk Budji
Authors: Shafi, A., Khan, R.S., Mir, S., Lone, J.A., Shikari, A.B.
Year: 2023
Citations: 1
Journal: Molecular Biology Reports, 50(7), 5901–5915

Wei Jun Dan Ong | E-learning | Best Researcher Award

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Wei Jun Dan Ong | E-learning | Best Researcher Award

Senior Respiratory Therapist at Ng Teng Fong General Hospital (NUHS), Singapore.

Wei Jun Dan Ong is a Senior Respiratory Therapist at the Jurong Health Campus, National University Health System, Singapore. With a comprehensive background in respiratory therapy, healthcare management, and research, Ong has made substantial contributions to clinical care, community health research, and healthcare transformation initiatives. He combines his clinical expertise with a passion for education, critical care, and quantitative research, playing a pivotal role in advancing respiratory care services, digital health tools, and process improvements within the healthcare system.

 

Profile:

Education

Ong holds an impressive academic background with multiple degrees. He earned a Master of Public Affairs from the University of Missouri, with specializations in Profit and Nonprofit Management, Epidemiology, Participatory Health Research, Health System Innovation, and International Development. He also holds a Bachelor of Health Science in Clinical Diagnostic Science with a focus on Respiratory Therapy, a Bachelor of Science in Statistics, and a Bachelor of Arts in Interdisciplinary Studies (Biology, Chemistry, and Mathematics), all with distinction. Additionally, he has obtained a Specialist Diploma in Statistics & Data Mining and a Diploma in Biotechnology with Merit from Singapore institutions. Ong also earned a Certificate in Leadership and Management from Harvard Business School Online.

 

Professional Experiences 

Ong has held several influential positions in healthcare. As a Senior Respiratory Therapist at Jurong Health Campus, he has led critical care projects, participated in clinical research, and provided statistical consultation to allied health professionals. He has also worked as an Assistant Manager in Allied Health & Community Operations, overseeing workflow improvements and managing respiratory care services. His experience extends to the Ministry of Health Office for Healthcare Transformation (MOHT), where he played a key role in developing digital health tools, coordinating community-driven initiatives, and managing healthcare transformation projects.

Research Interests

Wei Jun Dan Ong’s research interests are rooted in enhancing respiratory care and improving public health outcomes through a focus on community health research, clinical epidemiology, and acute care therapy. He is particularly passionate about addressing respiratory diseases, such as Chronic Obstructive Pulmonary Disease (COPD), and improving the quality of care in critical and acute settings. His work extends to optimizing workflows in respiratory therapy, using quantitative and qualitative research methods to develop innovative solutions for healthcare challenges. Ong is also keen on exploring the role of digital tools and telehealth in improving access to respiratory care, especially in community and non-invasive settings. By integrating clinical research with data-driven insights, he aims to advance both patient outcomes and healthcare systems, with a focus on scalable and sustainable health interventions for broader societal impact.

 

Research skills 

Wei Jun Dan Ong possesses advanced research skills, particularly in clinical and community health settings. His proficiency in statistical analysis and data mining is demonstrated through his command of software tools such as SAS, R, STATA, RapidMiner, SPSS, and Minitab. Additionally, his knowledge of data visualization tools like Tableau enhances his ability to interpret and communicate complex data insights. Ong is adept at using Microsoft Project and Python for project management and analysis, further showcasing his versatility in managing research initiatives. His skills encompass both quantitative and qualitative research methods, enabling him to conduct comprehensive studies in respiratory therapy, epidemiology, and healthcare system innovations. He also provides statistical consulting for allied health professionals, assisting them in research design and data interpretation, ultimately improving patient care workflows. Ong’s expertise allows him to integrate research with practical healthcare solutions, advancing both clinical and operational efficiencies in healthcare setting

 

Award And Recognition 

Ong has been the recipient of several prestigious honors, including the MOHH Healthcare Merit Award for Respiratory Therapy, and the Glen Kolander Memorial Leadership Scholarship Award. He has also won the John Rogers Memorial Scholarship First Place Award twice and holds memberships in notable honor societies such as the Lambda Beta Society, Alpha Eta Society, and Pi Alpha Alpha Society. Ong is a peer reviewer for journals like the Hispanic Health Care International Journal and Respiratory Care Journal, which reflects his continued commitment to advancing the field of respiratory therapy.

 

Conclusion

In conclusion, Wei Jun Dan Ong is a highly qualified and accomplished professional whose diverse educational background, extensive experience in respiratory therapy, and contributions to healthcare innovation make him a strong candidate for recognition. His leadership roles, involvement in community health initiatives, and clinical expertise underscore his dedication to improving patient care and advancing healthcare systems. Ong’s research skills, demonstrated through his proficiency in data analysis and workflow optimization, further enhance his impact within the field. His numerous awards and honors highlight his recognized contributions to both clinical practice and research. However, expanding his publication portfolio and showcasing leadership in pioneering research projects could further strengthen his academic and professional profile. Overall, Ong’s blend of clinical, research, and community-driven initiatives positions him as a distinguished figure in the healthcare sector, deserving of accolades for his efforts in improving healthcare outcomes.

 

Publication Top Notes

Mastering Tracheostomy Care: Refresher Programme for Tracheostomy Training for Nurses: Comparison of Two Training Methods Based on Hands-on Simulation-Based Training Alone Versus Additional Complementary Self-Directed E-Learning
Ong WJD, Kansal A, Jabil F, Wee C, Tan A, Tan CY, Dela Pena E, Khan FA.
Australian Critical Care. 2024. DOI: 10.1016/j.aucc.2024.09.004.

Outcome Prediction for Adult Mechanically Ventilated Patients Using Machine Learning Models and Comparison with Conventional Statistical Methods: A Single-Centre Retrospective Study
Ong WJD, How CH, Chong WHK, Khan FA, Ngiam KY, Kansal A.
Intelligence-Based Medicine. 2024. DOI: 10.1016/j.ibmed.2024.100165.

A Novel Remote Monitoring NIV System Innovation Outside Intensive Care Unit: RT Perceptions
Ong WJD, Dela Pena E, Khan FA.
Respiratory Care Open Forum. 2023.

Alarm Strategies and Surveillance for NIV Outside Intensive Care Units
Ong WJD, Gautam N, Jabil F, Dela Pena E, Maswan N, Saliba CS, et al.
Respiratory Care Open Forum. 2023.

COPD and Tracheostomy Training Program: A Hybrid of Self-Directed Learning and Simulation-Based Assessment Training for Respiratory Therapists
Ong WJD, Jabil F, Rosidi R, Balasundaram S, Maswan N, Dela Pena E.
Respiratory Care Open Forum. 2023.

Respiratory Therapy Digitalized Competency Is a Green Way to Go
Ong WJD, Dela Pena E.
Respiratory Care Open Forum. 2023.

The Tracheostomy Box: Always Ready, Ever Ready
Ong WJD, Jabil F, Rosidi R, Balasundaram S, Maswan N, Dela Pena E.
Respiratory Care Open Forum. 2023.

Defining a Clinical Prediction Rule to Diagnose Bacterial Gastroenteritis Requiring Empirical Antibiotics in an Emergency Department Setting: A Retrospective Review
Sajeed SM, De Dios MP, Ong WJD, Punyadasa AC.
Indian Journal of Gastroenterology. 2023. DOI: 10.1007/s12664-022-01304-w.

Comparison of ROX Index (SpO2/FIO2 Ratio/Respiratory Rate) with a Modified Dynamic Index Incorporating PaO2/FIO2 Ratio and Heart Rate to Predict High-Flow Nasal Cannula Outcomes Among Patients with Acute Respiratory Failure: A Single Centre Retrospective Study
Kansal A, Ong WJD, Dhanvijay S, Siosana ATP, Padillo LM, Tan CK, Gulati Kansal M, Khan FA.
BMC Pulmonary Medicine. 2022. DOI: 10.1186/s12890-022-02121-9.

Predictors and Outcomes of High-Flow Nasal Cannula Failure Following Extubation: A Multicentre Observational Study
Kansal A, Dhanvijay S, Li A, Phua J, Cove ME, Ong WJD, Puah SH, et al.
Annals of the Academy of Medicine, Singapore. 2021. DOI: 10.47102/annals-acadmedsg.2020564.

MARCO GUERRIERI | Traffic Engineering | Excellence in Research

Published on by Shen Awards

Prof. MARCO GUERRIERI | Traffic Engineering | Excellence in Research

University of Trento at UNIVERSITA’ OF TRENTO, Department “DICAM, Italy.

Marco Guerrieri is a prominent researcher in the Department of Civil, Environmental and Mechanical Engineering at the University of Trento, Italy. His work focuses on addressing urban traffic congestion through innovative engineering solutions. In his notable research, “A Multi-Objective Method for Large Multi-Lane Roundabout Design through Microscopic Traffic Simulation and SSAM Analysis,” Guerrieri introduces a novel approach that integrates simulation-based analysis with goal programming to optimize the design of large roundabouts. By utilizing advanced traffic simulation tools like AIMSUN Next and Surrogate Safety Assessment Models (SSAM), his methodology evaluates multiple design scenarios to enhance traffic flow, safety, and environmental performance. His research contributes significantly to sustainable urban traffic management and provides valuable insights for traffic and highway engineers. Through practical applications and a data-driven approach, Guerrieri’s work aims to improve urban infrastructure, making a lasting impact on the future of civil engineering and transportation.

Profile:

Education

Marco Guerrieri holds a robust academic background in civil engineering, focusing on transportation and traffic management. He completed his undergraduate degree in Civil Engineering at the University of Trento, where he developed a foundational understanding of engineering principles and practices. Continuing his studies, he earned a Master’s degree in Civil Engineering from the same institution, specializing in transportation engineering. His graduate research emphasized traffic flow optimization and safety assessments, equipping him with advanced skills in simulation techniques and modeling. Marco’s dedication to research led him to pursue a Ph.D. at the University of Trento, where he explored innovative approaches to urban traffic management, particularly through the design and optimization of roundabouts. Throughout his academic journey, Marco has been involved in various research projects and collaborations, further enhancing his expertise and contributing to the advancement of sustainable transportation solutions.

Professional Experiences 

Marco Guerrieri is an accomplished academic and researcher in the field of civil and environmental engineering, currently affiliated with the University of Trento. He has extensive experience in traffic management and urban planning, focusing on innovative solutions to enhance transportation efficiency and safety. Marco has actively participated in several research projects that involve advanced traffic simulation and optimization methodologies. His work often integrates data-driven approaches to address urban traffic congestion and improve road safety. In addition to his research contributions, Marco has collaborated with industry stakeholders and local government entities to implement sustainable traffic solutions in urban environments. He is also involved in teaching, sharing his expertise with students in civil engineering programs. Through his multifaceted professional experiences, Marco Guerrieri has established himself as a key contributor to the advancement of sustainable transportation practices and continues to influence the field through his research and educational efforts.

Research Interests

Marco Guerrieri’s research interests lie at the intersection of civil engineering, urban planning, and traffic management. He focuses on innovative design methodologies for transportation infrastructure, particularly large multi-lane roundabouts, aiming to enhance traffic flow and safety while minimizing environmental impact. His work emphasizes the integration of advanced simulation tools and optimization techniques, such as microscopic traffic simulation and goal programming, to inform decision-making in urban settings. Guerrieri is particularly interested in sustainable urban mobility solutions that address the challenges of urban traffic congestion and safety. His research also explores the application of data-driven approaches to traffic management, facilitating a holistic understanding of the interactions between transportation systems and urban environments. Through case studies and empirical analysis, he seeks to provide practical insights and guidelines for engineers and policymakers to develop effective and sustainable traffic solutions that improve urban livability.

Research skills 

Marco Guerrieri possesses a robust set of research skills that significantly contribute to his work in civil and environmental engineering. His proficiency in advanced traffic simulation tools, such as AIMSUN Next, enables him to model complex urban traffic scenarios effectively. He demonstrates strong analytical capabilities through his integration of simulation-based analysis with goal programming, allowing for a comprehensive assessment of multi-lane roundabout designs. Guerrieri’s experience with Surrogate Safety Assessment Models (SSAM) further underscores his expertise in evaluating road safety and performance metrics. His methodological rigor is complemented by a data-driven approach, ensuring that his findings are both reliable and applicable to real-world scenarios. Additionally, his ability to conduct case studies, particularly in sustainable urban environments, showcases his commitment to addressing practical challenges in traffic management. Overall, Guerrieri’s diverse skill set enhances his capacity to contribute meaningfully to research in sustainable infrastructure and urban planning.

Award And Recognition 

Marco Guerrieri has garnered significant recognition for his contributions to the field of civil and environmental engineering, particularly in traffic management and urban planning. He has been awarded the Best Paper Award at the International Conference on Transportation and Traffic Engineering for his innovative research on optimizing roundabout designs through advanced simulation techniques. His work has also been featured in reputable journals, enhancing the understanding of sustainable traffic solutions. Marco’s dedication to excellence is evident through his active participation in professional organizations, where he has held leadership roles, promoting research collaboration and knowledge sharing among peers. Additionally, he has been invited as a keynote speaker at various international conferences, where he shares insights on sustainable urban mobility and roundabout optimization. His commitment to advancing engineering practices has made him a respected figure in the academic community, inspiring future generations of engineers to prioritize innovative and sustainable solutions in urban traffic management.

Conclusion

Marco Guerrieri and Masoud Khanmohamadi’s research represents a significant contribution to the field of civil and environmental engineering, particularly in traffic management and sustainable urban planning. Their innovative approach to optimizing large multi-lane roundabouts through advanced simulation techniques addresses crucial challenges in urban traffic congestion and safety. While there are opportunities to broaden the impact and stakeholder engagement in their research, the practical implications of their findings make them strong candidates for the Excellence in Research award. The study not only enhances theoretical knowledge but also provides valuable tools for engineers and city planners aiming to create safer and more efficient urban environments.

Publication Top Notes
  • Improving Traffic Safety in Existing and New Road Tunnels with the Novel NDBA Concrete Safety Barrier
    Authors: Guerrieri, M., Dinnella, N.
    Year: 2024
  • A practical method for assessing sustainable traffic levels of roundabouts in urban areas using the macroscopic fundamental diagram
    Authors: Guerrieri, M.
    Year: 2024
  • A theoretical model for evaluating the impact of connected and autonomous vehicles on the operational performance of turbo roundabouts
    Authors: Guerrieri, M.
    Year: 2024
    Citation Count: 5
  • Asphalt Pavement Damage Detection through Deep Learning Technique and Cost-Effective Equipment: A Case Study in Urban Roads Crossed by Tramway Lines
    Authors: Guerrieri, M., Parla, G., Khanmohamadi, M., Neduzha, L.
    Year: 2024
    Citation Count: 3
  • LCA of Different Construction Choices for a Double-Track Railway Line for Sustainability Evaluations
    Authors: Celauro, C., Cardella, A., Guerrieri, M.
    Year: 2023
    Citation Count: 9
  • Preface
    Authors: Guerrieri, M.
    Year: 2023
  • Train Resistance and Braking Distance
    Authors: Guerrieri, M.
    Year: 2023
  • Traffic Management Systems and Railway Capacity
    Authors: Guerrieri, M.
    Year: 2023
  • Railway Tunnels
    Authors: Guerrieri, M.
    Year: 2023
  • People Movers, Monorails and Rack Railways
    Authors: Guerrieri, M.
    Year: 2023