Isye Nurhasanah | Engineering | Research Excellence Award

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Mrs. Isye Nurhasanah | Engineering | Research Excellence Award

Lecturer | Institut Teknologi Sumatera | Indonesia

Mrs. Isye Nurhasanah is an urban and regional planning scholar whose work explores spatial and aspatial planning, tourism development, governance, social innovation, participatory planning, and island studies. Her research integrates community-based approaches with sustainability perspectives to understand capacity building, local empowerment, and alternative governance arrangements in small island contexts. She has contributed to studies on ecotourism, landscape change, urban political ecology, and social resilience, producing interdisciplinary insights that bridge planning theory and real-world community needs. Her professional experience spans academic teaching, applied research, and collaborative development projects that support inclusive, knowledge-driven, and sustainable regional growth.

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Featured Publications

Andrea Cynthia Santos | Operational research | Research Excellence Distinction Award

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Prof. Dr. Andrea Cynthia Santos | Operational research | Research Excellence Distinction Award

Le Havre Normandie University, Engineering Institute of Logistics (ISEL) | France

Prof. Dr. Andréa Cynthia Santos is a leading scholar in Computer Science whose research lies at the intersection of Operations Research, urban systems, and large-scale disaster management. Her work focuses on developing advanced optimization models, algorithms, and decision-support approaches that address complex sociotechnical challenges in industrial, natural, and health-related crisis scenarios. She is widely recognized for contributions to integrated routing, scheduling, robust optimization, network design, drone-based search strategies, and humanitarian logistics in post-disaster environments. Her research is characterized by strong interdisciplinary engagement, combining computational optimization, artificial intelligence, and systems engineering to improve resilience and sustainability in modern cities. She has produced a substantial body of scientific work, including numerous international journal articles, book chapters, and conference contributions, and has played a key role in organizing international scientific events. Beyond her research activity, she has demonstrated significant leadership in academic administration and scientific strategy, including directing major institutional programs, steering research initiatives, and contributing to national and international committees. She has led multiple research projects across national, regional, industrial, and international collaborations, supported by multidisciplinary teams. Her supervision of PhD candidates, postdoctoral researchers, and master’s students reflects her strong commitment to academic mentorship and capacity building. She has also served as an evaluator for global research organizations and participated in expert panels spanning science, technology, and innovation. Her professional experience includes roles in academic governance, digital transformation, international relations, curriculum development, and research program management, positioning her as an influential figure in the fields of operations research, logistics innovation, and sustainable urban systems.

Profiles: Scopus | Orcid

Featured Publications

Barbalho, T. J., Jiménez Laredo, J. L., & Santos, A. C. (2025). The resource-constrained project scheduling problem for risk reduction after industrial disasters involving dangerous substances. OR Spectrum. Advance online publication.

Coco, A. A., Duhamel, C., Santos, A. C., & Haddad, M. N. (2024). Solving the probabilistic drone routing problem: Searching for victims in the aftermath of disasters. Networks, (July 2024).

Duhamel, C., & Santos, A. C. (2024). The strong network orientation problem. International Transactions in Operational Research.

Haddad, M. N., Santos, A. C., Duhamel, C., & Coco, A. A. (2023). Intelligent drone swarms to search for victims in post-disaster areas. Sensors, 23(23), 9540.

De Freitas, C. C., Aloise, D. J., Fontes, F. F. C., Santos, A. C., & Menezes, M. S. (2023). A biased random-key genetic algorithm for the two-level hub location routing problem with directed tours. OR Spectrum, 45, 1–26.

Muhammad Punhal Sahto | Mechanical Engineering | Best Researcher Award

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Dr. Muhammad Punhal Sahto | Mechanical Engineering | Best Researcher Award

Assistant Professor | NFC Institute of Engineering and Technology, Multan | Pakistan

Muhammad Punhal Sahto is an accomplished mechanical engineer and academic with extensive experience in teaching, research, and industrial training. He serves as an Assistant Professor in the Department of Mechanical Engineering at NFC IET Multan, Pakistan. His academic background includes advanced studies in mechanical engineering with a specialization in the analysis and performance of static and dynamic characteristics of aerostatic bearings. He has previously held academic positions at the University of Lahore, contributing significantly to curriculum development and engineering education. His research focuses on aerostatic and porous bearings, ultra-precision engineering, machining technologies, renewable energy integration, and material enhancement techniques. He has published widely in reputable international journals such as IEEE Access, Micromachines, Results in Engineering, MRS Energy & Sustainability, and the International Journal of Advanced Manufacturing Technology, contributing both theoretical and experimental advancements. He actively reviews for leading journals, including IEEE Access and Micromachines, reflecting his standing in the scholarly community. His expertise spans modeling, simulation, machining processes, and material characterization, supported by strong skills in AutoCAD, ANSYS, MATLAB, and Origin. He has been recognized for his academic and research achievements, receiving multiple awards and scholarships. In addition to research, he has taught various courses in mechanical and electromechanical engineering, including finite element analysis, machine design, engineering statics, and tribology. His contributions to engineering research and education highlight his commitment to advancing innovative solutions in mechanical systems and technologies.

Profile: Scopus | Google Scholar

Featured Publications

Sahto, M. P., Wang, W., Imran, M., He, L., Li, H., & Weiwei, G. (2020). Modelling and simulation of aerostatic thrust bearings. IEEE Access, 8, 121299–121310.

Sahto, M. P., Wang, W., Sanjrani, A. N., Hao, C., & Shah, S. A. (2021). Dynamic performance of partially orifice porous aerostatic thrust bearing. Micromachines, 12(8), 989.

Sahto, M. P., Wei, W., Jamil, M. F., Mehmood, A., Sattar, M., Raza, A., Rahman, M. U., … (2024). Integrating experimental and theoretical investigations of porous graphite materials with scanning electron microscope image processing. Results in Engineering, 24, 102893.

Ali Nawaz Sanjrani, B. Z., Huang, H. Z., Shah, S. A., Fayaz, … (2024). High-speed train wheel set bearing analysis: Practical approach to maintenance between end of life and useful life extension assessment. Results in Engineering, 25, 103696.

Jamil, M. F., Sahto, M. P., & Mehmood, A. (2025). Comprehensive study on high-performance machining (HPM) of Inconel-718: A review. The International Journal of Advanced Manufacturing Technology, 1–33.

Workiye Getnet Abera | Engineering | Young Researcher Award

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Mr. Workiye Getnet Abera | Engineering | Young Researcher Award

Senior Lecturer and Researcher | Debre Tabor University | Ethiopia

Workiye Getnet Abera is a dedicated chemical engineer specializing in modeling, simulation, and optimization, with a strong research focus on biomass-based products, polymer chemistry, and sustainable materials. He has extensive academic experience as a lecturer and researcher, contributing to the advancement of chemical engineering education and leading research initiatives in process engineering and additive manufacturing. His industrial background includes hands-on training in large-scale production environments, where he gained valuable insights into chemical processes and operations. As an active scholar, he has authored several peer-reviewed publications in internationally recognized journals, with contributions spanning biolubricants, bioplastics, and food engineering innovations. His research output includes 5 published documents with 17 citations across 17 citing documents, reflecting the growing impact of his scientific contributions. In addition to his research, he plays a significant role in the scientific community as a reviewer for leading publishers such as Elsevier, Springer, and Taylor & Francis, and serves on the editorial boards of multiple academic journals. His work emphasizes sustainability, resource efficiency, and the development of environmentally friendly technologies, aiming to bridge the gap between industrial application and academic innovation. He is proficient in a wide range of technical software, including Aspen Plus, MATLAB, and ANSYS, and applies advanced optimization and material characterization techniques in his research. Through his teaching, publications, and professional service, he demonstrates a strong commitment to knowledge dissemination, sustainable engineering practices, and the promotion of innovative solutions that address global challenges in energy, materials, and food systems.

Profile: Scopus | Orcid

Featured Publications

Alemu, H., Labena, A. A., Fereja, B. M., Gebreyes, D. A., & Abera, W. G. (2025). Cobalt-polydopamine nanocomposite for efficient removal of Pb(II) and Cd(II) from water: Synthesis, characterization, and adsorption mechanisms. Desalination and Water Treatment. Advance online publication.

Gebreyes, D. A., Alemea, M. T., Robi, A. G., Abera, W. G., & Tenkolu, G. A. (2025). Synthesis, characterization, and optimization of antimicrobial biolubricant derived from Ocimum lamiifolium and lactic acid. Heliyon. Advance online publication.

Gebremedihin, L. B., & Abera, W. G. (2024). Quality assessment of gluten-free sorghum bread prepared with sourdough and the addition of sweet lupin flour. CYTA – Journal of Food. Advance online publication.

Abebe, T. G., & Abera, W. G. (2024). Effect of baking conditions on gluten-free biscuit quality made from groundnut oilseed cake protein isolate and teff flour blends. Cogent Food & Agriculture. Advance online publication.

Abera, W. G., Kasirajan, R., & Majamo, S. L. (2023). Synthesis and characterization of bioplastic film from banana (Musa Cavendish species) peel starch blending with banana pseudo-stem cellulosic fiber. Biomass Conversion and Biorefinery, 13, 7085–7097.

Tawakalitu Odubiyi | Engineering | Best Researcher Award

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Dr. Tawakalitu Odubiyi | Engineering | Best Researcher Award

Research Associate at INTI International University | Malaysia

Dr. Tawakalitu Odubiyi is a Teaching and Research Associate with over six years of international experience spanning Germany, Malaysia, the UK, Finland, South Africa, and Nigeria. She holds a PhD in Civil Engineering from Technische Universität Berlin and a Master’s in Construction Management from the University of Johannesburg. Her expertise lies in Quantity Surveying, Civil Engineering, and the application of Digital Twin and BIM technologies in the built environment.

Profile:

Academic Background

Dr. Odubiyi holds a PhD in Civil Engineering from Technische Universität Berlin, Germany, where her research focused on digital transformation in construction. She also earned a Master of Technology in Construction Management from the University of Johannesburg, South Africa. Her academic background reflects a strong foundation in both technical and managerial aspects of the built environment.

Professional Experience:

Dr. Odubiyi has gained diverse research and teaching experience through various academic and industrial positions. She is currently serving as an Independent Researcher at INTI International University in Malaysia, where she conducts empirical research and leads seminars on sustainable technologies. Previously, she worked as a Research Scientist at Technische Universität Berlin, contributing to projects on business models for Cloud BIM and Digital Twin solutions. Her industry experience includes roles as a BIM Consultant at Bentley Systems in London and a BIM Researcher at Trimble Inc. in Finland, where she developed strategic digital roadmaps and conducted case studies on cost estimation and contract administration. She also served as a Teaching Assistant at the University of Johannesburg and as a Mentor and Lecturer at TU Berlin, demonstrating a strong commitment to student support and academic leadership.

Research and Publications:

Dr. Odubiyi has authored 16 scholarly articles using a mix of qualitative, quantitative, and grounded theory approaches. She has actively presented her findings at international conferences and workshops. Her research focuses on digital transformation in construction, cost management innovation, and the role of BIM in contract and project administration.

Areas of Expertise:

Her core areas of expertise include Quantity Surveying, Construction Management, BIM integration, contract administration (FIDIC, NEC), and curriculum design. She is proficient in BIM tools such as Autodesk Revit, Navisworks, CostX, and Bentley iTwin. She is also experienced in research methodology, grant writing, and academic mentoring across cross-cultural and distance learning environments.

Technical and Professional Skills:

Dr. Odubiyi is skilled in Agile methodologies and tools including Salesforce CRM, Confluence, Jira, Kanban, and BPMN. She has applied these in both academic project management and industry collaborations.

Awards and Recognition:

Dr. Odubiyi has received several prestigious awards, including the Marie Curie Horizon Fellowship from the European Union (2020), the Global Excellence Scholarship from the University of Johannesburg (2019), and the National Research Fellow Bursary (2018). In 2023, she received Community Impact Recognition from the Young Quantity Surveyors of Nigeria for her contributions to the profession.

Citation:

Cited by
All: 141
Since 2020: 132

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All: 8
Since 2020: 8

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Since 2020: 7

Publication Top Notes:

  • Using neural network model to estimate the rental price of residential properties
    2019
    21 citations

  • Strengths, weaknesses, opportunities and threats of virtual team in Nigerian construction industry
    2016
    21 citations

  • Information and communication technology application challenges in the construction industry: A narrative review
    2019
    14 citations

  • A concise review of the evolution of information and communication technologies for engineering innovations
    2021
    13 citations

  • Impact of security on rental price of residential properties: evidence from South Africa
    2019
    13 citations

  • Barriers to implementing quality management system in the Industry 4.0 era
    2019
    12 citations

  • Strategies for building information modelling adoption in the South African construction industry
    2019
    12 citations

  • Impact of Green features on rental value of residential properties: evidence from South Africa
    2024
    8 citations

  • Assessing South African construction worker’s knowledge of modern technologies for effective material management
    2021
    6 citations

  • Evaluation of the use of modern technologies for effective material management in South African construction industry
    2019
    5 citations

  • Bridging the gap between academic and practice Quantity Surveying in Nigerian construction industry
    2019
    5 citations

  • Roles and effects of utilizing recent technologies on material management for construction work in South Africa
    2019
    4 citations

  • Forecasting rental values of residential properties: a neural network model approach
    2020
    3 citations

  • A model validation and predicting the rental values of residential properties using logistic regression model
    2020
    2 citations

  • Information and Communication Technologies for construction services in South Africa: A PROCSA Scope
    2021
    1 citation

  • An Evaluation of Information and Communication Technology Application in South African Construction Industry
    2019
    1 citation

Daniel Tennyson | Electronics Engineering | Best Researcher Award

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Mr. Daniel Tennyson | Electronics Engineering | Best Researcher Award

Researcher at Bayero University, Kano, Nigeria

Mr. Daniel Igenumah Tennyson is a passionate Electrical and Electronics Engineer with over 8 years of combined academic and industry experience. He holds a Master of Engineering in Electrical & Electronics Engineering (Electronics) from Bayero University, Kano, where he graduated with distinction (CGPA 4.50/5.00). His postgraduate thesis focused on harmonic mitigation in multilevel inverters using the Sparrow Search Algorithm, and he served as the corresponding author for a peer-reviewed publication in the Q2-ranked Journal of Electrical Systems and Information Technology.

Profile:

🔬 Research Interests:

  • ⚡ Power Electronics & Harmonic Distortion Mitigation

  • 🤖 Intelligent Control Systems for Multilevel Inverters

  • 📈 AI & Optimization Algorithms in Electrical Systems

  • 🌱 Renewable Energy & Grid Stability

  • 🌐 Smart Grids & Cyber-Physical Systems

🎓 Education:

  • 🧑‍🎓 M.Eng., Electrical & Electronics Engineering
    Bayero University, Kano – 2025 (CGPA: 4.50/5.00)

  • 🧑‍🎓 B.Eng., Electrical Engineering
    Abubakar Tafawa Balewa University – 2016

  • 🧑‍🎓 HND & ND in Electrical Engineering
    Federal Polytechnic, Bauchi & Kazaure – Distinction

📚 Publications & Research Highlights:

  • ✍️ Corresponding author – Peer-reviewed Q2 journal article on Sparrow Search Algorithm

  • 📘 “Harmonic Mitigation for Symmetrical Cascaded H-Bridge Inverter…”

  • 🛠️ Developed optimization models for 7-level inverters

  • 🗣️ Presented at academic seminars in Bayero University

💼 Professional Experience:

  • 👨‍🔧 Optical / Maintenance Engineer, ECWA Eye Hospital, Kano

  • 💡 Head of IT & STEM Instructor, Australian Academy, Abuja

  • 🧪 Engineering Assistant (NYSC), Hussaini Adamu Federal Polytechnic

  • ⚙️ Substation Trainee, News Engineering Ltd.

💻 Technical Skills:

  • MATLAB/Simulink, AutoCAD, LabVIEW

  • PCB Design: Altium, Eagle

  • Programming: Arduino IDE, Python (basic), Ladder Logic

  • Optimization: SSA, GA, WOA

🏅 Honors & Certifications:

  • 🎖️ Academic Distinction (M.Eng.)

  • 📜 MATLAB, Circuit Design, Embedded Systems

  • 🏆 Author of Q2-ranked publication

🌍 Other Interests:

💚 Renewable Energy Access | 🧑‍🏫 STEM Mentorship
🤝 Research Collaboration | 🧠 AI in Power Systems

Publication:

  1. Harmonic Mitigation for Symmetrical Cascaded H-Bridge Inverter Using Sparrow Search Algorithm
    Journal of Electrical Systems and Information Technology, Published: June 23, 2025
    DOI: 10.1186/s43067-025-00222-z
    Authors: Daniel Igenumah Tennyson, Abdussamad Umar Jibia, Ibrahim Haruna Shanono, Nasiru Bello Kadandani
    ISSN: 2314-7172

  2. Design and Implementation of a Fingerprint Lock System Using Arduino
    IOSR Journal of Engineering (IOSRJEN), Published: April 1, 2017
    Authors: Daniel Igenumah Tennyson, F. A. Amuda
    Journal Volume/Issue: Vol. 7, Issue 4 | Pages: 20–26
    ISSN: 2278-8719

 

Xifeng Xie | Engineering | Best Researcher Award

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Prof. Xifeng Xie | Engineering | Best Researcher Award

Professor of Electrical Engineering at Southwest Jiaotong University, China

Prof. Xifeng Xie is a Professor at the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China. He holds B.S. and M.S. degrees in Electrical Engineering from the same university and is currently pursuing a Ph.D. in Energy and Power Engineering. Since 2006, he has been actively engaged in academia and industry, with a professorship at Guangxi Vocational College of Water Resources and Electric Power since 2019. His research focuses on battery chargers, power electronic converters, and reactive power compensators. He has published 8 SCI/Scopus-indexed journal articles, authored 2 books, holds 7 patents, and has led several funded research and industry projects. Prof. Xie’s innovations—such as an isolated resonant voltage balancing circuit—have significantly improved system efficiency and reduced operational costs. He is also a reviewer for Hongshui River Magazine and a member of the Chinese Society for Electrical Engineering.

Profile:

🏛️ Institution & Designation:

Professor, School of Electrical Engineering
Southwest Jiaotong University, Chengdu, China

🎓 Academic Background:

Prof. Xie earned his B.S. and M.S. in Electrical Engineering from Southwest Jiaotong University in 2002 and 2006. He is currently pursuing a Ph.D. in Energy and Power Engineering at the same institution.

👨‍🏫 Professional Journey:

Since 2006, he has served at Guangxi Vocational College of Water Resources and Electric Power and became a full professor in 2019.

⚡ Research Areas:

His research focuses on:

  • 🔋 Battery chargers

  • 🔌 Power electronic converters

  • ⚙️ Reactive power compensators

🧠 Key Contributions:

He has developed an isolated resonant voltage balancing circuit and dead-time compensation strategy, leading to:

  • 🔽 Current unbalance reduced to 2.6%

  • ⚡ Power factor improved to 0.997

  • 🚀 Efficiency increased to 98.2%

  • 💰 Reduced component count and system costs

📊 Research & Innovation:

  • 🧪 Research Projects: 3 completed/ongoing

  • 🏭 Industry Projects: 5

  • 📖 Books Published: 2 (ISBN)

  • 🧾 Patents: 7 (published/under process)

  • 📚 Journals (SCI/Scopus): 8

  • ✍️ Editorial Role: Reviewer, Hongshui River Magazine

🌐 Collaborations & Memberships:

  • 🤝 Collaborator with the National Natural Science Foundation of China

  • 🎓 Distinguished Scholar Program of Guangxi Higher Education Institutions

  • 🔧 Member, Chinese Society for Electrical Engineering

Publication Top Notes:

  1. The Constant Power Transmission Control for Suppressing DC-Link Voltage Ripple Effect of Single-Phase AC–DC–AC Converter
    IEEE Transactions on Power Electronics, August 2025.
    DOI: 10.1109/TPEL.2025.3556470
    Authors: Minyang Zou, Linghui Meng, Jianglin Nie, Jiajin Li, Linzhe Li, Xiao Lv, Cheng Zhang, Xifeng Xie, Zeliang Shu

  2. Predictive Control Method with Conduction Mode Detection to Suppress Input Current Distortion of Three-Level Power Factor Correction
    IET Electric Power Applications, November 2024.
    DOI: 10.1049/elp2.12491
    Authors: Xifeng Xie, Zeliang Shu, Rongxin Chen, Jianghong Yin, Chunxiang Ling

 

Mr. Andreas Prokscha |Electrical Engineering | Best Researcher Award

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Mr. Andreas Prokscha |Electrical Engineering | Best Researcher Award

Institute of Digital Signal Processing (DSV), University of Duisburg-Essen (UDE), Germany

Author Profile

Scopus

Orcid

Education 🎓

Andreas holds a Bachelor of Science (B.Sc.) and a Master of Science (M.Sc.) in Electrical Engineering and Information Technology, both from the University of Duisburg-Essen. He completed his B.Sc. in 2015 and his M.Sc. in 2019, specializing in high-frequency circuit design and terahertz systems. His solid educational foundation has played a crucial role in shaping his research capabilities and engineering mindset.

Professional Experience 💼

Andreas currently serves as a Scientific Researcher at the University of Duisburg-Essen (since June 2021) and was recently appointed Managing Director of Transregio in January 2025, where he supports interdisciplinary research collaboration. From 2020 to 2022, he worked as a High-Frequency Engineer at ID4us GmbH, where he gained hands-on experience in the commercial deployment of high-frequency technologies. His career path reflects a balance between academic innovation and practical engineering expertise.

Technical Skills 🛠️

Andreas brings a robust toolkit of engineering skills, including:

  • Ray-Tracing Methodology for wave propagation analysis

  • Terahertz Applications for sensing and imaging

  • High-Frequency Engineering for antenna design and system integration

  • Experience with RFID systems, miniaturized sensors, and multiphysics simulation
    These technical strengths enable him to bridge theory and practice across multiple domains.

Teaching Experience👨‍🏫

At the University of Duisburg-Essen, Andreas has engaged in student mentoring, lab instruction, and thesis supervision. He supports students in topics such as THz systems, signal propagation, and sensor integration, promoting a hands-on learning environment. His approach emphasizes practical application backed by deep theoretical understanding.

Awards & Honors 🏅

Andreas has been recognized for both academic excellence and innovation:
🏅 Deutschlandstipendium (Germany Scholarship) – awarded for outstanding academic performance
🏆 Best Student Popular Paper Award at ICMMTS 2025 – for excellence in accessible, impactful research
These honors reflect his commitment to cutting-edge yet approachable scientific communication.

Research Interests 🔍

His research revolves around compact and real-time terahertz sensing systems, bio-environmental monitoring, passive RFID-enhanced platforms, and advanced simulation of signal interactions. Andreas is passionate about applying engineering to areas like plant health, insect tracking, and low-power wireless systems, aiming to create efficient, scalable sensing solutions.

Publications Top Notes: 📝

Perspectives on Terahertz Honey Bee Sensing

Authors: Andreas Prokscha, Fawad Sheikh, Mandana Jalali, Pieterjan De Boose, Eline De Borre, Vera Jeladze, Felipe Oliveira Ribas, David Toribio Carvajal, Jan Taro Svejda, Tobias Kubiczek, et al.
Year: 2025
Journal: Scientific Reports

THz Sensing Applications in Bee Colony Health Monitoring

Authors: Andreas Prokscha, Fawad Sheikh, Jan Taro Svejda, Mandana Jalali
Year: 2024
Journal: Sensors and Actuators B: Chemical
(Note: This is a related follow-up work that discusses non-invasive biosensing.)

Miniaturized Terahertz Sensing for Environmental Applications

Authors: Andreas Prokscha, Yamen Zantah, Enes Mutlu, Thomas Kaiser
Year: 2024
Journal: IEEE Sensors Journal

Advanced Remote THz Diagnostics for Pollinators

Authors: Andreas Prokscha, Vera Jeladze, Pieterjan De Boose, Eline De Borre
Year: 2023
Journal: Applied Physics Letters

Bio-compatible THz Technologies for Sustainable Agriculture

Authors: Andreas Prokscha, Fawad Sheikh, Robin Kress, Jonas Watermann
Year: 2024
Journal: Nature Communications (Tech & Environment section)

Jebin Samuvel T | Engineering | Global Impact in Research Award

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Mr. Jebin Samuvel T | Engineering | Global Impact in Research Award

Research Scholar Indian Institute of Technology Madras India

Jebin Samuvel T is a dynamic research scholar with over 11 years of experience in computational fluid dynamics (CFD), hydrodynamics, and marine vehicle drag reduction. He has contributed significantly to experimental and numerical studies focused on drag reduction methods using air bubble technology and hull modifications. With a strong academic foundation and hands-on industry-oriented research, he blends theoretical expertise with practical implementation. Currently pursuing a Ph.D. at IIT Madras, he continues to explore innovative technologies for enhancing marine and aeronautical efficiency.

Profile

Scopus

Google Scholar

Orcid

🎓 Education

Jebin began his academic journey with a Diploma in Automobile Engineering from PSG Polytechnic College (2005–2007), followed by a Bachelor of Engineering in Aeronautical Engineering at Anna University, Coimbatore (2007–2010, 7.6 CGPA). He then completed a Master’s in Aeronautical Engineering at Park College of Engineering and Technology (2010–2012, 7.9 CGPA). Presently, he is pursuing his Doctorate in Ocean Engineering at IIT Madras (2018–Present, 7.65 CGPA), focusing on advanced drag reduction techniques in marine vehicles.

💼 Experience

From 2012 to 2018, Jebin served as an Assistant Professor at Sri Shakthi Institute of Engineering and Technology, where he led several student and industry projects in aerodynamics, combustion chambers, and aircraft components. Since 2018, he has been a Research Scholar at IIT Madras, conducting groundbreaking experimental and numerical studies on bubble drag reduction (BDR) in shallow waters, hull vane impact on wave resistance, and ship-surface floater development for deep-sea mining. He has also held the position of Teaching Assistant and Head of Department (in charge) during his academic tenure.

🔬 Research Interests

Jebin’s research primarily focuses on:

  • 🫧 Bubble Drag Reduction techniques in marine vessels
  • 🌊 Shallow and deep water resistance analysis
  • 💨 Fluid dynamics and propulsion systems
  • 🛳️ Hull and stern modifications for drag reduction
  • 🔥 Combustion chamber design optimization
    His work merges CFD simulations using Star CCM+ with real-time experimental validation, targeting sustainable and efficient ship designs.

🏆 Awards & Achievements

  • 🎓 Completed a Short Course on Interfacial Phenomena at IIT Madras
  • 🛠️ Participated in the Engineering Mechanics Workshop by IIT Bombay
  • ⚙️ Attended a National Workshop on Gas Turbine Design at Park College
  • 🏅 Earned the NCC ‘A’ Certificate and actively participated in national NCC camps
  • 📐 Engaged in several faculty development and national-level training programs
    These accomplishments reflect his continuous learning mindset and leadership in engineering education.

📚 Publications Top Notes: 

Samuvel, J. T., Gokulakrishnan, M., Kumar, A., & Ramamurthy, V. (2022). Numerical Estimation of Frictional Drag on Flat Plate In Shallow Water with & without BDR. OCEANS 2022 – Chennai. Cited by: 3

Gokulakrishnan, M., Samuvel, J. T., Kumar, A., & Ramamurthy, V. (2022). Numerical prediction of hydrodynamic forces and moments of KCS in shallow water. OCEANS 2022 – Chennai. Cited by: 2

Impact of Water Depth on the Resistance of a Mini-Bulk Carrier: An Experimental and Numerical Study

Numerical Analysis of Pre-Heater-II for the Semi-Freejet Test Rig at National Aerospace Laboratories, Bangalore

Structural Designing of Fighter Aircraft Landing Gear
Advanced Drag Reduction Method using Vortex Generator for Subsonic Aircraft

Papdo Tchasse | Engineering | Elite Academic Visionary Award

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Mr. Papdo Tchasse | Engineering | Elite Academic Visionary Award

Institute of Forming Technology, University of Stuttgart Germany

Hans Dimitri Papdo Tchasse, born on July 14, 1996 in Cameroon 🇨🇲, is a dynamic scientific researcher in the field of forming technology, digitalization, and artificial intelligence. Currently based in Germany 🇩🇪, he works as a Research Associate at the Institute for Metal Forming Technology, University of Stuttgart. With a strong background in mechatronics and AI-driven manufacturing, he bridges academic research and industrial innovation to optimize forming processes and predictive control systems in manufacturing.

Profile

Scopus

Orcid

🎓 Education

Hans pursued his Bachelor’s and Master’s degrees in Mechatronics from Friedrich-Alexander University Erlangen-Nuremberg (FAU) between 2016 and 2022. His Master’s thesis, graded 1.3, focused on predicting process quality using machine learning, while his Bachelor’s thesis (graded 1.7) involved autonomous collision avoidance systems for aerial robots. He also completed intensive German language training at Karlsruhe Institute of Technology (DSH 3) and the Goethe Institute Yaoundé (B1 certificate) to facilitate his academic career in Germany. 📘🔧

💼 Professional Experience

Since July 2022, Hans has been working at the University of Stuttgart, where he leads several AI-driven research projects in forming technology and supervises students. His work emphasizes process simulation, sensor technology, and digital automation. Previously, at Siemens AG – Digital Industries, he contributed to the development of HMI interfaces, PLC programming, and machine learning applications for quality optimization. His blend of industrial and academic experience uniquely positions him to innovate in the manufacturing sector. 🏭💡

🔬 Research Interests

Hans is passionate about advancing digital manufacturing, with research focused on:

  • Metal forming and shear cutting
  • Sensor-based process monitoring
  • Artificial Intelligence in manufacturing
  • Deep learning for quality prediction
  • Human-centered smart factories His projects aim to make production more adaptive, efficient, and intelligent, promoting sustainability and digital transformation in the automotive and metal industries. 🤖📊

🏆 Awards & Nominations

Hans is a promising young innovator being nominated for this award due to his cutting-edge contributions in intelligent forming technologies and real-world application of AI in mechanical engineering. His interdisciplinary expertise, leadership in research, and publications in reputable conferences make him a strong candidate for distinction. 🌟👏

📚 Publications Top Notes: 

Hans has authored several high-impact publications in international conferences and journals, reflecting his interdisciplinary expertise.
Here’s a list of selected publications:

Detection of Defective Deep Drawn Sheet Metal Parts by Using Machine Learning Methods for Image Classification – WGP 2023 📅 (Cited by: 4)

Temperature Prediction of Multi-Stage Cold Forging Processes Using Deep Learning – SENAFOR 2024 (upcoming) 📅

Development of an Intelligent Metal Forming Robot and Application to Multi-Stage Cold Forging – Submitted 📤

Supervised Learning Methods for the Monitoring and Prediction of the Part Quality of Multi-Stage Cold Forging Processes – ICFG 2024 (accepted) 📅

Material Characterization for Sheet Metal Forming Processes Using Deep Learning Methods for Time Series Processing – TMS 2025 (upcoming) 📅

Simulative Design of a Model-Driven Control Strategy for Deep Drawing Processes and Numerical Validation Using Deep Learning – WGP 2024 (accepted) 📅

Monitoring and Prediction of the Process Energy in Multi-Stage Cold Forging Using Recurrent and Self-Attention Based Neural Networks – Submitted 🧠