Destayehu Durressa | Mechanical Design | Editorial Board Member

Assist. Prof. Dr. Destayehu Durressa | Mechanical Design | Editorial Board Member

Bahir Dar Institute of Technology, Ethiopia

Destayehu Addisu – Mechanical Engineer & Academic Professional

Destayehu Addisu is a seasoned mechanical engineer with over 11 years of professional experience in teaching, research, and academic leadership. He holds a B.Sc. degree in Mechanical Engineering from Arba Minch University (AMU), an M.Sc. in Mechanical Engineering (Mechanical Design) from Bahir Dar University, and is currently pursuing a Ph.D. in Mechanical Engineering (Mechanical Design) at Bahir Dar University, Ethiopia.

Destayehu has served as a lecturer at Assosa University, where he also held the position of Department Head in the College of Engineering. His expertise includes coordinating and managing academic activities, organizing review meetings, and leading teams with exceptional interpersonal and problem-solving skills.

In addition to his academic contributions, Destayehu is proficient in conducting situational assessments, project evaluation, qualitative and quantitative data analysis, and reporting. He has a strong aptitude for visualizing data, building relationships with stakeholders, and driving collaborative efforts.

Destayehu is particularly interested in fiber-reinforced polymer research and development, as well as opportunities to contribute to international conferences and professional memberships, leveraging his extensive technical knowledge and teaching experience.

 

Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Mr. Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Nanjing University of Science and Technology, China

Profile:

Current PositionπŸŽ“

Muhammad Ahsan SALEEM is currently pursuing his Doctor of Engineering in Mechanical Engineering at Nanjing University of Science and Technology (NUST) in Nanjing, China, since September 2020. As a researcher, he is deeply involved in interdisciplinary projects that combine mechanical engineering, data science, and 3D printing technology. His current focus is on optimization of inkjet printing processes, particularly targeting low edge roughness and dimensional precision for multi-material applications.

Research Focus πŸ§‘β€πŸ”¬

SALEEM works on experimental design to explore the jetting behavior of high-viscosity inks during inkjet-based 3D printing and applies machine learning and data acquisition techniques to drive innovation in the lab. His expertise lies in integrating data-driven approaches to advance the development of functional 3D-printed components such as electrical resistors made from a composite of conductive and insulating materials. These efforts aim to improve the precision and quality of printed parts for various industrial applications.

Publication Achievements πŸ“

While still in the early stages of his doctoral research, Muhammad Ahsan SALEEM has contributed to several technical reports and research projects at NUST. His work, which integrates machine learning and 3D printing technology, is poised for publication in prominent journals related to mechanical engineering and manufacturing. SALEEM is enthusiastic about publishing his findings in peer-reviewed platforms that will help establish his contributions to mechanical and mechatronics engineering.

Ongoing Research πŸ”¬

Ahsan’s ongoing research centers on multi-material 3D printing, with a special focus on the development of inkjet-based 3D printing processes for industrial applications. His experimental research explores the jetting behavior of high-viscosity inks, which is essential for the precise fabrication of parts requiring specific resistivity characteristics. He is also investigating ways to incorporate machine learning into the research process to predict and enhance the quality and efficiency of printed materials.

Research Interests πŸ”

SALEEM’s primary research interests lie in mechatronics engineering, with a specific focus on 3D printing and automation. His work explores the intersection of mechanical engineering, robotics, and data science, particularly in the development of advanced manufacturing techniques. His research also covers areas such as electromechanical systems, sensor technology, and data acquisition methods used in precision engineering processes.

Academic Background πŸŽ“

SALEEM’s academic journey is marked by a solid foundation in engineering. He holds a Bachelor of Science in Mechatronics Engineering from the University of Engineering and Technology, Taxila, Pakistan (2013), and a Master of Engineering in Mechanical Engineering from Nanjing University of Science and Technology, China (2018). His diverse educational experiences have equipped him with a deep understanding of both theoretical and practical aspects of mechatronics and mechanical engineering. His advanced studies in Doctor of Engineering are pushing the boundaries of 3D printing and advanced manufacturing technologies.

Scholarships and Awards πŸ†

Throughout his academic career, SALEEM has earned recognition for his academic excellence. He was awarded various scholarships and honors during his Master’s degree and Doctoral research, further solidifying his commitment to research and development in engineering. These awards not only acknowledge his technical prowess but also highlight his potential for significant contributions to the field of mechatronics and mechanical engineering.

Bioinformatics 🧬

While bioinformatics is not his core research area, SALEEM’s interdisciplinary approach to engineering involves elements of data analysis and algorithm development, skills that are integral to bioinformatics as well. His research on machine learning and data acquisition for engineering applications shares similarities with bioinformatics research, especially in terms of data-driven optimization and precision.

Professional Associations πŸ‘₯

Muhammad Ahsan SALEEM is a member of several professional associations related to mechanical engineering and mechatronics. These associations help him stay updated on the latest trends, research, and technological advancements in the field. His membership also provides opportunities to engage with fellow professionals, share knowledge, and collaborate on cutting-edge research projects.

Training & Workshops πŸŽ“

In addition to his formal education, SALEEM has participated in numerous workshops and training sessions focused on advanced manufacturing, automation, and machine learning. These workshops have equipped him with essential skills in 3D printing technologies and data-driven engineering, which he applies in his current research.

Oral Presentations and Conference Participation 🎀

Ahsan actively participates in engineering conferences and workshops, where he presents his research findings and engages with other researchers in the field. His ability to communicate complex ideas clearly and effectively has allowed him to gain visibility in the academic community, particularly in areas related to 3D printing and mechatronics engineering.

Tasks Completed as a Researcher πŸ”§

As part of his doctoral research, SALEEM has successfully contributed to the development and optimization of inkjet printing processes for advanced manufacturing applications. His work includes designing experiments to study high-viscosity inks and collaborating with his research team to integrate machine learning techniques for real-time data acquisition and analysis. He has also worked on experimental setups for multi-material 3D printing, exploring the use of conductive and insulating composites in the production of electrical resistors.

Success Factors 🌟

SALEEM’s success as a researcher can be attributed to his collaborative mindset, technical expertise, and innovative approach to solving complex engineering challenges. His ability to work well within a team, his commitment to data-driven methodologies, and his focus on continuous improvement have positioned him as a rising star in mechatronics engineering and 3D printing technology.

Laboratory Experience πŸ”¬πŸ“š

Although still in the process of publishing his research, SALEEM has accumulated significant experience working in various research labs at Nanjing University of Science and Technology. He has contributed to the development of experimental setups, data acquisition systems, and machine learning models, which are integral to his research on inkjet printing and multi-material manufacturing.

πŸ“–Publications:

Paper Title: Influence of Silicon Carbide on Direct Powder Bed Selective Laser Process (Sintering/Melting) of Alumina

  • Authors: Rehman, A.U. Saleem, M.A. Liu, T. Pitir, F. Salamci, M.U.
  • Journal: Materials
  • Year: 2022

Paper Title: Quantized Event-triggered feedback control under fuzzy system with time-varying delay and Actuator fault

  • Authors: Aslam, M.S. Qaisar, I. Saleem, M.A.
  • Journal: Nonlinear Analysis: Hybrid Systems
  • Year: 2020

 

Junchen Zhang | Mechanical model of tunnel | Best Researcher Award

Dr. Junchen Zhang | Mechanical model of tunnel | Best Researcher Award

Doctorate at Shenzhen University, China

Profile:

πŸŽ“ Current Position

Junchen Zhang serves as an Associate Researcher in Tunnel Engineering at the National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment, Shenzhen University, Guangdong, China. He began this prestigious role in February 2023. In addition, he contributes to groundbreaking research at the State Key Laboratory of Intelligent Geotechnics and Tunnelling in Extreme Environment, Southwest Jiaotong University, Chengdu, China. His expertise is pivotal in developing sustainable and resilient solutions for modern infrastructure challenges.

πŸ“š Academic Background

Junchen Zhang completed his Ph.D. in Bridge and Tunnel Engineering at Southwest Jiaotong University, where he was enrolled from September 2017 to December 2022. His doctoral work emphasized structural integrity and innovation, particularly focusing on the damage analysis of shield tunnels and flexible joint designβ€”a niche in infrastructure resilience critical for urban and high-speed rail systems.

πŸ› οΈ Research Interests

Junchen Zhang’s research is anchored in the engineering and design of tunnels, with particular emphasis on Damage analysis of shield tunnels, exploring how tunnels withstand external forces and structural pressures. Flexible joint design, enhancing adaptability and safety in tunnel construction. This focus not only addresses current challenges but also paves the way for innovative methodologies in geotechnical engineering.

πŸ“ Publication Achievements

Junchen Zhang has authored 9 impactful research papers published in prominent journals. These publications delve into the complexities of tunnel damage mechanisms, showcasing novel approaches to mitigate risks while ensuring sustainability. Through these works, he has significantly contributed to the growing body of knowledge in geotechnical engineering, earning recognition among his peers.

πŸ”¬ Ongoing Research

Advanced damage modeling techniques for predicting shield tunnel performance under extreme environmental conditions. Dynamic joint flexibility design, aimed at accommodating natural movements and external impacts, such as seismic events. This ongoing research strives to create safer, more durable infrastructure solutions that align with global sustainability goals.

πŸ… Scholarships and Awards

Junchen Zhang’s academic journey has been punctuated by notable scholarships and accolades, reflecting his dedication and brilliance in tunnel engineering. These honors underline his contributions to scientific innovation and academic excellence.

🀝 Professional Associations

Leading geotechnical engineering societies, fostering collaboration among global experts. Conferences and workshops, presenting groundbreaking findings to the international engineering community.

πŸ“‘ Bioinformatics in Engineering

Though bioinformatics is traditionally associated with biological sciences, Zhang integrates data-driven methodologies in his research. His work involves computational simulations and data analytics to enhance structural design accuracy and predict failure scenarios in tunnel systems. This interdisciplinary approach enriches his contributions to the field.

πŸ—οΈ Training & Workshops

Tunnel construction technologies and materials. Risk assessment in geotechnical engineering, enhancing his skills to address complex structural challenges. Additionally, he has attended workshops focusing on emerging trends in flexible joint technologies.

πŸ—£οΈ Oral Presentations

Zhang has delivered compelling presentations at international conferences, sharing insights into innovative tunnel engineering solutions. These presentations not only underscore his expertise but also inspire advancements across the geotechnical community.

πŸ”‘ Tasks Completed as a Researcher

Conducted extensive damage analysis of shield tunnels, culminating in actionable solutions for infrastructure projects. Developed flexible joint prototypes, now undergoing validation for real-world applications. Published research that bridges theoretical findings with practical engineering challenges.

🌟 Success Factors

Innovation, constantly pushing the boundaries of tunnel design and sustainability. Collaboration, working with multidisciplinary teams to address engineering complexities. Resilience, tackling challenges with determination and creative problem-solving.

πŸ§ͺLaboratory Experience

Simulation and modeling of structural failures. Testing innovative joint materials for tunnel applications. His rigorous experimental approach ensures that his findings contribute significantly to practical advancements in tunnel engineering.

πŸ“–Publications:

Paper Title: Compression-shear capacity of circumferential joint with dowel in shield tunnel: From experiments to analytical solution

  • Authors: Zhang, J.; Yan, Q.; Zhao, Y.; Yao, C.; Xu, H.
  • Journal: Tunnelling and Underground Space Technology
  • Year: 2025

Paper Title: Research on circumferential joint shear damage characteristics of segments with positioning tenon through distributed fiber optic-based sensing technique

  • Authors: Yan, Q.; Qiu, Y.; Zhang, J.; Yao, C.; Wu, W.
  • Journal: Engineering Failure Analysis
  • Year: 2024

Paper Title: Study on shear mechanical behavior of shield tunnel segment joint with fixing tenon

  • Authors: Lin, G.; Yi, D.; Luo, S.; Yan, Q.; Zhang, J.
  • Journal: Beijing Jiaotong Daxue Xuebao/Journal of Beijing Jiaotong University
  • Year: 2024

Paper Title: Installation Methods Evaluation for Tunnel Microseismic Monitoring Sensors

  • Authors: Xu, H.; Tang, T.; Cui, X.; Zhao, Y.; Zhang, J.
  • Journal: IEEE Sensors Journal
  • Year: 2024

Paper Title: Mechanical Characteristics of New Type Positioning Tenon Segment of Shield Tunnel under the Action of Shear Load

  • Authors: Yan, Q.; Zhang, Y.; Zhang, J.; Lin, G.; Luo, S.
  • Journal: Zhongguo Tiedao Kexue/China Railway Science
  • Year: 2024

 

 

Shonak Bansal | Composite Materials Science | Best Researcher Award

Assoc. Prof. Dr. Shonak Bansal | Composite Materials Science | Best Researcher Award

Associate Professor Doctorate at Chandigarh University, Gharuan, India

Profiles:

πŸŽ“ Current Position

Dr. Shonak Bansal currently serves as an Associate Professor in the Department of Electronics and Communication Engineering at Chandigarh University, Gharuan (Mohali). He has been an integral part of this esteemed institution since March 19, 2024, and previously contributed as an Assistant Professor from October 15, 2020, to March 18, 2024. Through his roles, Dr. Bansal has been instrumental in shaping research programs and mentoring students in advanced photonics and engineering concepts.

πŸ“œ Publication Achievements

Dr. Bansal has established himself as a thought leader in nanophotonics and advanced materials. His research contributions span areas like graphene-based photodetectors, zinc oxide nanowires, and infrared photodetection. His publications in high-impact journals and presentations at international conferences such as IEEE Technology & Engineering Management Society Conference: Asia-Pacific 2024 highlight his prolific output. These achievements reflect his commitment to groundbreaking discoveries that advance both theoretical models and practical applications.

πŸ”¬ Ongoing Research

Dr. Bansal’s research is focused on nanophotonics, specifically targeting innovations in graphene-based photodetectors and mercury cadmium telluride-based infrared detectors. His investigations also explore ZnO nanowires, with applications in solar energy harvesting, and the use of nature-inspired optimization algorithms to enhance the efficiency of modern engineering systems. His work contributes significantly to the development of cutting-edge solutions in photonics and renewable energy sectors.

🌍 Research Interests

Nanophotonics: Exploring light-matter interactions at the nanoscale. Graphene-based Photodetectors: Studying the unique properties of graphene to develop next-gen sensors. Solar Cells: Innovating efficient, sustainable energy solutions. Nature-inspired Optimization Algorithms: Applying biological principles to solve complex engineering problems. These interests not only fuel his academic pursuits but also inspire students and collaborators in the field.

πŸ“š Academic Background

Ph.D. (2021): Electronics & Communication Engineering, Punjab Engineering College, Chandigarh (CGPA: 9.5).
Thesis: Design and Simulation of Graphene-based Photodetectors. M.Tech (2010): Electronics & Communication Engineering, Maharishi Markandeshwar Engineering College, Mullana (CGPA: 9.22).
Thesis: Golomb Ruler Sequences Optimization: Soft Computing Approaches. B.Tech (2006): Electronics & Communication Engineering, Haryana Engineering College, Jagadhri. Senior Secondary (2002) and Matriculation (2000): Excelling academically with first-class distinctions.

πŸ… Awards and Honors

Token of Appreciation as NSS Program Officer for exemplary work during the 2024 NSS Seven-Day Camp on the theme β€œYouth for Viksit Bharat@2047”. Β Certificate of Appreciation for reviewing papers at the IEEE Technology & Engineering Management Society Conference: Asia-Pacific 2024. Certificate of Reviewer for the 27th International Symposium on Wireless Personal Multimedia Communications (WPMC 2024).

🌟 Professional Associations

Dr. Bansal is actively engaged with esteemed professional bodies, regularly contributing as a reviewer for leading journals and conferences. These associations reflect his influence in shaping academic discourse globally.

🎀 Oral Presentations

Dr. Bansal has delivered numerous presentations at high-profile conferences, including discussions on graphene-based photodetectors, optimization algorithms, and nanowire applications. These presentations demonstrate his ability to communicate complex concepts effectively.

πŸ”§ Tasks Completed as a Researcher

Designed and simulated advanced photodetectors using graphene. Optimized Golomb Ruler Sequences through soft computing methods. Conducted interdisciplinary projects integrating materials science and computational algorithms.

🌟Success Factors

A solid foundation in academic rigor. Passion for innovation in electronics and photonics. A collaborative approach in research and mentoring. Active engagement with professional societies to stay updated on emerging trends.

πŸ§ͺLaboratory Experience

Dr. Bansal’s laboratory is a hub of innovation, equipped with cutting-edge tools for nanophotonics research. His publications, including high-impact studies on mercury cadmium telluride-based infrared photodetectors, have set benchmarks in the field. His hands-on approach ensures students gain practical insights alongside theoretical knowledge.

πŸ“–Publications:

Paper Title: Optoelectronic performance prediction of HgCdTe homojunction photodetector in long wave infrared spectral region using traditional simulations and machine learning models

  • Authors: Bansal, S., Jain, A., Kumar, S., Islam, M.S., Islam, M.T.
  • Journal: Scientific Reports
  • Year: 2024

Paper Title: Pt/ZnO and Pt/few-layer graphene/ZnO Schottky devices with Al ohmic contacts using Atlas simulation and machine learning

  • Authors: Bansal, S., Rajpoot, A.K., Chamundeswari, G., Soliman, M.S., Islam, M.T.
  • Journal: Journal of Science: Advanced Materials and Devices
  • Year: 2024

Paper Title: 8-port MIMO antenna at 27 GHz for n261 band and exploring for body centric communication

  • Authors: Gupta, A., Kumari, M., Sharma, M., Uthansakul, M., Bansal, S.
  • Journal: PLoS ONE
  • Year: 2024

Paper Title: Hybrid ring-mesh topology enabled 16Γ—100 Gbps integrated MDM-OCDMA PON/FSO system incorporating a new MFRS code

  • Authors: Kumari, M., Bansal, S., Bathla, G.
  • Journal: Optoelectronics and Advanced Materials, Rapid Communications
  • Year: 2024

Paper Title: Spoof Surface Plasmon Polaritons-Based Feeder for a Dielectric Rod Antenna at Microwave Frequencies

  • Authors: Chaparala, R., Imamvali, S., Tupakula, S., Ismail, M.M., Al-Gburi, A.J.A.
  • Journal: Progress In Electromagnetics Research M
  • Year: 2024

 

Liping Wu | Computational Modeling and Simulation of FRPs | Best Researcher Award

Dr. Liping Wu | Computational Modeling and Simulation of FRPs | Best Researcher Award

Doctorate at Woosuk University, China

Profile:

🏒 Current Position

Dr. Liping Wu is a distinguished academic at Woosuk University, where he contributes as a Ph.D. candidate in Business Administration and an Assistant Research Fellow. His expertise lies in the domain of technical economy and management, a field where he applies innovative methodologies to address critical challenges.

πŸ“š Publication Achievements

Dr. Wu has an impressive record of scholarly contributions, authoring over ten academic papers as the first or corresponding author in esteemed journals like PLOS ONE and Scientific Reports. Notably, four of these publications are indexed in SCI, reflecting the global impact of his research. As a special reviewer for prestigious Q1 journals such as IEEE Transactions on Systems, Man, and Cybernetics: Systems, Dr. Wu ensures the dissemination of groundbreaking ideas in his field.

πŸ”¬ Ongoing Research

Dr. Wu is currently spearheading a pivotal project on dynamic risk assessment and control of key equipment in coal chemical enterprises under multi-source data fusion. This research addresses the complexities of safety and efficiency in industrial processes, leveraging advanced data integration techniques. By combining theoretical frameworks with real-world applications, his work promises transformative outcomes for the coal chemical industry.

🌐 Research Interests

  • Technical Economy and Management: Exploring innovative strategies for economic growth and technological integration.
  • Risk Assessment: Developing dynamic and data-driven models to evaluate risks in industrial systems.
  • Multi-Source Data Fusion: Integrating diverse data streams for enhanced decision-making in complex environments.

πŸŽ“ Academic Background

Dr. Wu’s journey is marked by a robust academic foundation. As a Ph.D. candidate in Business Administration, he has honed his expertise in both theoretical and applied dimensions of management and technical economy. His rigorous training equips him to tackle interdisciplinary challenges with precision.

πŸ† Scholarships and Awards

Dr. Wu has earned several accolades for his academic and research excellence. His contributions to scientific knowledge and innovation have been recognized at various forums, underscoring his dedication and impact in his field.

🧬 Bioinformatics and Data Integration

Although primarily focused on technical economy, Dr. Wu’s work often intersects with bioinformatics through advanced data analysis techniques. His proficiency in managing large datasets and deriving actionable insights demonstrates his versatility as a researcher.

🌟 Professional Associations

Dr. Wu is an active member of numerous professional organizations that amplify his engagement with the global research community. His collaborations foster interdisciplinary innovation and thought leadership.

πŸ› οΈ Training & Workshops

Dr. Wu regularly participates in and organizes workshops on technical economy, risk management, and data fusion. These platforms serve as incubators for novel ideas and knowledge-sharing among peers and industry practitioners.

🎀 Oral Presentations

Dr. Wu has delivered insightful presentations at national and international conferences, sharing his findings on risk assessment, technical management, and multi-source data fusion. His engaging style and authoritative knowledge make him a sought-after speaker.

πŸ“‹ Tasks Completed as a Researcher

  • Designing and implementing robust risk assessment models for industrial systems.
  • Publishing high-impact studies that inform both academia and industry.
  • Mentoring junior researchers and fostering collaborative research initiatives.

🌟 Success Factors

Dr. Wu attributes his success to his unwavering commitment to research excellence, interdisciplinary collaboration, and a forward-thinking approach to problem-solving. His ability to bridge theory and practice distinguishes him as a leader in his field.

πŸ§ͺLaboratory Experience

Dr. Wu combines a strong theoretical foundation with hands-on experience in experimental research. His publications reflect a meticulous approach to hypothesis testing and result validation. By leveraging laboratory simulations and real-world data, he ensures the reliability and applicability of his findings.

πŸ“–Publications:

Paper Title: Chaotic control of a simply supported beam in a multidimensional system

  • Authors: Ming Liu, Haoran Xun, Liping Wu
  • Journal: Scientific Reports
  • Year: 2024

Paper Title: Chaotic vibration control of an axially moving string of multidimensional nonlinear dynamic system with an improved FSMC

  • Authors: Ming Liu, Jiaole Lv, Liping Wu, Yining Li
  • Journal: Scientific Reports
  • Year: 2024

Paper Title: The influence of lumped mass deployment on the performance of a hybrid galloping energy harvester

  • Authors: Ming Liu, Yali Jing, Liping Wu
  • Journal: Scientific Reports
  • Year: 2024

Paper Title: Dynamic risk assessment of a coal slurry preparation system based on the structure-variable Dynamic Bayesian Network

  • Authors: Ming Liu, Ajaya Bhattarai, Liping Wu, Mingjun Hou
  • Journal: PLOS ONE
  • Year: 2024