Nadhir Al-Ansari | Engineering | Excellence in Citation Achievement Award

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Nadhir Al-Ansari | Engineering | Excellence in Citation Achievement Award

LuleaUniversity of Technology | Sweden

Professor Nadhir Al-Ansari is a distinguished scholar in civil, environmental, and natural resources engineering, renowned for his extensive contributions to water resources and environmental sustainability. Currently serving at Luleå University of Technology in Sweden, he has held multiple academic leadership roles throughout his career, including Dean and Head of Department, and has executed more than 60 major research projects across Iraq, Jordan, and the United Kingdom. His prolific scholarly output includes over 790 research articles published in international and national journals, numerous book chapters, 21 books and special issues, as well as a patent related to the physical separation of iron oxides. A dedicated mentor, he has supervised more than 70 postgraduate students across various universities, fostering the next generation of experts in water and environmental engineering. Professor Al-Ansari’s work has been widely recognized through numerous prestigious awards, such as the Mesopotamia Prize for Water Resources, honors from the Iraqi Ministry of Higher Education and Scientific Research, awards from the Ministry of Water and Irrigation in Jordan, and the British Council’s 70th Anniversary recognition as one of the top five scientists in Cultural Relations. He is also the recipient of several scientific and community service accolades from organizations in Iraq, Jordan, Turkey, and beyond. Actively engaged in global scientific discourse, he serves on the editorial boards of 24 international journals and maintains membership in several leading professional societies, including the Chartered Institution of Water and Environment Management, the International Association of Hydrological Sciences, the International Commission for Continental Erosion, and the Arab Integrated Water Resources Management Network. He also founded and previously presided over the Rafidain Organization for Water Resources Protection and Development, reflecting his lifelong commitment to advancing sustainable water resource management and environmental protection worldwide.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Nguyen, Q. H., Ly, H. B., Ho, L. S., Al-Ansari, N., Le, H. V., Tran, V. Q., Prakash, I., … (2021). Influence of data splitting on performance of machine learning models in prediction of shear strength of soil. Mathematical Problems in Engineering, 2021(1), Article 4832864.

Kumar, R., Qureshi, M., Vishwakarma, D. K., Al-Ansari, N., Kuriqi, A., Elbeltagi, A., … (2022). A review on emerging water contaminants and the application of sustainable removal technologies. Case Studies in Chemical and Environmental Engineering, 6, 100219.

Tao, H., Hameed, M. M., Marhoon, H. A., Zounemat-Kermani, M., Heddam, S., … (2022). Groundwater level prediction using machine learning models: A comprehensive review. Neurocomputing, 489, 271–308.

Shahabi, H., Shirzadi, A., Ghaderi, K., Omidvar, E., Al-Ansari, N., Clague, J. J., … (2020). Flood detection and susceptibility mapping using Sentinel-1 remote sensing data and a machine learning approach: Hybrid intelligence of bagging ensemble based on k-nearest neighbors. Remote Sensing, 12(2), 266.

Al-Ansari, N. (2013). Management of water resources in Iraq: Perspectives and prognoses. Engineering, 5(6), 667–684.

Nhu, V. H., Shirzadi, A., Shahabi, H., Singh, S. K., Al-Ansari, N., Clague, J. J., … (2020). Shallow landslide susceptibility mapping: A comparison between logistic model tree, logistic regression, naïve Bayes tree, artificial neural network, and support vector machine models. International Journal of Environmental Research and Public Health, 17(8), 2749.

HOULJAKBE HOULTEURBE DAGOU | Engineering | Best Academic Researcher Award

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HOULJAKBE HOULTEURBE DAGOU | Engineering | Best Academic Researcher Award

Mr. HOULJAKBE HOULTEURBE DAGOU, Yildiz Technical University, Turkey

Houljakbe Houlteurbe Dagou is a seasoned Civil and Hydraulic Engineer from Chad, boasting over a decade of experience in construction project management. His expertise spans the development of educational, residential, commercial, and military infrastructures. Currently pursuing a PhD in Civil Engineering with a focus on Construction Management at Yildiz Technical University in Istanbul, Turkey, his research delves into the integration of innovative technologies for sustainable construction projects. Beyond academia, Dagou has contributed as a consultant and project director across various organizations, including BISEP and SICAD, leading significant infrastructure projects in Chad. His academic journey includes a Master’s in Water and Environmental Engineering from the International Institute for Water and Environmental Engineering (2iE) in Burkina Faso and a Bachelor’s in Civil Engineering from the National School of Public Works in N’Djamena, Chad. Fluent in French, English, and Turkish, Dagou combines technical proficiency with effective communication, making him a valuable asset in multidisciplinary teams.

Publication Profile

google scholar

Education

Dagou’s academic foundation is robust, beginning with a Bachelor’s degree in Civil Engineering from the National School of Public Works in N’Djamena, Chad (2008–2011). He furthered his studies with a Master’s in Water and Environmental Engineering at the International Institute for Water and Environmental Engineering (2iE) in Ouagadougou, Burkina Faso (2013–2015), where he conducted a comparative study on the mechanical properties of cements used in Burkina Faso. Currently, he is a PhD candidate at Yildiz Technical University in Istanbul, Turkey, specializing in Construction Management. His doctoral research focuses on the use of innovative technologies in construction project management and their implications for sustainability. Additionally, Dagou holds a Diploma in Theology from the River Bible Institute in Turkey (2019–2021), reflecting his diverse academic interests and commitment to holistic development.

Experience

Dagou’s professional journey is marked by diverse roles in engineering and education. Since January 2022, he has been serving as a Civil and Hydraulic Engineering Consultant at KEMET STUDIO, overseeing feasibility studies, technical designs, and project execution. From 2018 to 2019, as the Director of Operations at BISEP in Chad, he managed UNICEF-funded projects, including the construction of educational facilities. Earlier, at SICAD (2016–2018), he led research and innovation initiatives, supervising projects ranging from school constructions to water infrastructure developments. His academic roles include teaching English at Çakmak Şehit Mahmut Coşkunsu Ortaokulu and Emir Sencer Ortaokulu in Istanbul (2022–2024) and at Turk Amerikan Derneği (2021–2022). Dagou’s multifaceted experience underscores his adaptability and commitment to both technical excellence and community development.

Awards and Honors

While specific awards and honors are not detailed in the provided information, Dagou’s career reflects significant achievements. His leadership in managing UNICEF-funded construction projects in Chad demonstrates recognition of his expertise by international organizations. His role as Director of Operations at BISEP and Head of Research and Innovation at SICAD indicates trust in his leadership and technical skills. Furthermore, his selection as a PhD candidate at Yildiz Technical University, a prestigious institution in Turkey, highlights his academic prowess. Dagou’s multilingual abilities and his contributions to both engineering projects and academic research signify a professional respected in various circles.

Research Focus

Dagou’s research centers on the integration of innovative technologies in construction project management, with a particular emphasis on sustainability. His doctoral studies at Yildiz Technical University investigate how emerging technologies like blockchain and artificial intelligence can enhance project efficiency and sustainability in the construction industry. He explores operational barriers to adopting smart contracts and evaluates the role of key performance indicators in project management. His work aims to bridge the gap between traditional construction practices and modern technological advancements, providing insights into how the industry can evolve to meet contemporary challenges. Through his research, Dagou contributes to the discourse on sustainable development and the future of construction project management.

Publication Top Notes

  • 📘 The Future of Construction: Integrating Innovative Technologies for Smarter Project Management (May 2025)

  • 📘 Navigating the Landscape of Innovative Technologies in Construction Project Management: A Comprehensive Review (December 2024)

  • 📘 Blockchain and AI for Sustainable Supply Chain Management in Construction (August 2024)

  • 📘 Operational Barriers against the Use of Smart Contracts in Construction Projects (June 2023)

  • 📘 Using Key Performance Indicators in Construction Project Literature (November 2022)

  • 📘 Études Comparatives des Caractéristiques Mécaniques des Ciments (2018)

Thunyawat Limpiti | Engineering | Best Research Article Award

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Thunyawat Limpiti | Engineering | Best Research Article Award

Assist. Prof. Dr Thunyawat Limpiti, School of Engineering and Technology, Walailak University, Thailand

Asst. Prof. Dr. Thunyawat Limpiti is a dedicated Thai academic and researcher currently serving as a Lecturer at the School of Engineering and Technology, Walailak University. With a strong foundation in electrical and telecommunication engineering, he holds a Doctor of Engineering degree from King Mongkut’s Institute of Technology Ladkrabang. Dr. Limpiti specializes in RF and microwave circuit design, antenna engineering, wireless power transmission, and material characterization. Throughout his career, he has combined theoretical depth with practical innovation to address complex challenges in healthcare, agriculture, and communications. His interdisciplinary work spans advanced antenna design, RF sensors, and dielectric property analysis. Dr. Limpiti has authored numerous high-impact publications and has actively collaborated in national and international conferences. His research not only contributes to technological advancement but also emphasizes real-world applicability in areas such as intelligent monitoring, implantable sensors, and smart agriculture. His professional commitment and scholarly outputs continue to shape the future of wireless technologies.

Publication Profile

google scholar

Education

Dr. Thunyawat Limpiti pursued all his higher education degrees at the prestigious King Mongkut’s Institute of Technology Ladkrabang, Thailand. He earned his Bachelor of Engineering in Telecommunication Engineering in 2005, establishing a solid grounding in communication technologies. Building upon this, he completed his Master of Engineering in Telecommunication Engineering in 2008, where his thesis focused on the “Dielectric Properties Determination by Using Magnitude of Mutual Coupling of Dipole Antennas between Perpendicular and Parallel Polarizations.” In 2013, he achieved his Doctor of Engineering in Electrical Engineering with a dissertation titled “Switchable Antennas and Their Application in Dielectric Properties Determination.” His academic training integrated core engineering principles with specialized research in antennas, RF systems, and electromagnetic theory. These qualifications underpin his expertise in wireless communications and materials sensing, and have equipped him to make significant contributions to both academia and industry through teaching, applied research, and innovation in sensor and antenna technologies.

Experience

Asst. Prof. Dr. Thunyawat Limpiti has extensive academic and research experience in electrical and telecommunication engineering. Currently serving as a Lecturer at the School of Engineering and Technology, Walailak University, he has led and participated in various research initiatives focusing on RF/microwave design, wireless systems, and smart sensors. Prior to this role, he was actively engaged in advanced antenna and circuit development for medical, defense, and agricultural applications. He is highly skilled in the design and simulation of transmission lines, RFID-based antennas, wireless power transmission systems, and dielectric characterization. Dr. Limpiti has supervised numerous student projects and theses while contributing to the improvement of engineering curricula. He has collaborated with multidisciplinary teams and international researchers, published in reputable journals, and presented at global conferences. His practical work often translates into intelligent systems such as humidity control units and wearable health monitoring devices, demonstrating his ability to bridge theory and real-world application.

Awards and Honors

While specific awards and honors are not explicitly listed in the data provided, Asst. Prof. Dr. Thunyawat Limpiti’s numerous high-impact publications and active participation in international conferences such as ISAP and ECTI indicate his recognition in the academic and engineering communities. His contributions to peer-reviewed journals including IEEE Access, Progress in Electromagnetics Research, and International Journal of Electrical and Computer Engineering reflect scholarly excellence. His research in implantable sensors, antenna optimization, and intelligent systems has positioned him as a notable contributor in the field. Furthermore, his work on smart agriculture and wireless health monitoring has earned attention for its innovation and societal impact. Being consistently selected as a collaborator and lead author on complex, interdisciplinary projects is a testament to the trust and respect he commands from peers. Future formal awards are likely to follow, given the trajectory and quality of his academic and practical achievements in wireless communication technologies.

Research Focus

Dr. Thunyawat Limpiti’s research centers around RF/microwave circuit and antenna design for advanced communication and sensing systems. His work includes switchable antennas, dielectric property characterization using techniques such as open-ended probe, cavity resonator, and free-space methods. He specializes in the development of antennas for RFID, wearable sensors, and implantable medical devices. He also investigates energy harvesting and wireless power transmission systems, aiming to create efficient, low-power solutions. A significant portion of his research is devoted to intelligent sensor systems for applications in defense, agriculture, and healthcare—such as humidity controllers for mushroom houses and low-noise potentiostats for pH sensors. Dr. Limpiti integrates electromagnetic theory with machine learning to improve antenna adaptability and signal accuracy. His multidisciplinary approach enables real-world problem-solving through the fusion of materials science, wireless engineering, and data-driven control systems, advancing smart technology development for environmental monitoring and medical diagnostics.

Publication Top Notes

  1. 📡 A High Linearity and Low-noise Potentiostat with Current Mirror, Chopper Stabilization and Relaxation Circuit Techniques for Implantable Sensor Applications (2025)

  2. 🧠 Low-Noise and High Linearity Potentiostat for Implantable Rumen pH Sensor Using Current Mirror Combined with Chopper Technique (2024)

  3. 🍬 Intelligent Sensor System with Transmission Coefficient in X-band Frequency for Determining Sugar Content (2023)

  4. 🌊 A Novel Catchment Estimation for Super-resolution DEM with Physically based Algorithms: Surface Water Path Delineation and Specific Catchment Area Calculation (2023)

  5. 🍄 An Intelligent Humidity Control System for Mushroom Growing House by Using Beam-switching Antennas with Artificial Neural Networks (2023)

  6. 🛰️ A Novel Algorithm to Delineate Surface Water Paths on Digital Elevation Model Image with Boundary Element Method (2022)

  7. 📶 Bandwidth Enhancement of Dual-band Bi-directional Microstrip Antenna Using CSRR with Defected Structure for 3/5 GHz Applications (2022)

  8. ❤️ Intelligent Medical System with Low-Cost Wearable Monitoring Devices to Measure Basic Vital Signals of Admitted Patients (2021)

  9. 🔥 ระบบตรวจวัดและควบคุมอุณหภูมิภายในตู้ฆ่าเชื้อก้อนวัสดุเพาะเห็ดอัตโนมัติด้วยการสื่อสารบลูทูธ (2564)

  10. 📡 Measurement of Radiated Field from Transmitting Antennas Located in Various Environments (2019)

  11. 🌿 การพัฒนาสายอากาศโมโนโพลย่านความถี่ C ร่วมกับการเรียนรู้ของโครงข่ายประสาทเทียมเพื่อประยุกต์ใช้ในการตรวจสอบน้ำยางปนเปื้อน (2562)

  12. 📶 A High-Gain Double Reflectors Microstrip-Fed Slot Antenna for WLAN and WiMAX Applications (2017)

  13. 📻 Design of a Magneto-Electric Dipole Antenna for FM Radio Broadcasting Base Station Antenna Implementation (2017)

  14. 📡 Design of a Log-Periodic Dipole Antenna (LPDA) for 0.8-2.5 GHz Band Applications (2017)

Hamna Baig | Engineering | Young Researcher Award

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Hamna Baig | Engineering | Young Researcher Award

Ms. Hamna Baig, COMSATS University Islamabad, Attock Campus, Pakistan

Hamna Baig is a passionate and accomplished Electrical Engineering graduate from COMSATS University Islamabad, Attock Campus. A Gold Medalist with a stellar CGPA of 3.66/4, she blends academic brilliance with innovation and creativity. Her work spans artificial intelligence, robotics, and smart systems—areas where she has made significant strides through hands-on projects, impactful research, and active involvement in technical writing. Hamna’s proactive participation in conferences, internships, and AI-based research projects has not only sharpened her technical expertise but also highlighted her commitment to using technology for social and environmental betterment. Adept in Python, MATLAB, LabVIEW, and embedded systems, she continues to evolve in her pursuit of excellence. Fluent in English, Urdu, and Punjabi, Hamna is driven by her curiosity, resilience, and desire to solve real-world problems through sustainable technology and intelligent systems. She is currently engaged in research and technical writing, aiming to make a lasting impact in the field.

Publication Profile

Google Scholar

Education

Hamna Baig completed her Bachelor of Science in Electrical Engineering from COMSATS University Islamabad, Attock Campus (2020–2024), graduating with distinction and securing a Gold Medal. Her final CGPA of 3.66/4 (91.5%) reflects her unwavering dedication and academic rigor. During her studies, she actively explored artificial intelligence, robotics, and embedded systems, with her thesis titled: “Enhancing Home Comfort with an Artificial Intelligence-based Environmental Control Model”. Hamna supplemented her academic journey with multiple certified online courses, including Machine Learning Specialization and Generative AI for Everyone offered by Stanford University via Coursera. Her technical training spans MATLAB, LabVIEW, Arduino, KEIL, Proteus, and microcontroller-based systems, showcasing both breadth and depth. Driven by curiosity and innovation, Hamna transformed theoretical knowledge into practical, real-world solutions through capstone projects and internships. Her continuous pursuit of learning makes her a standout in the evolving field of intelligent systems and energy-efficient technologies.

Experience

Hamna Baig has gained diverse experience through internships, research positions, and technical writing roles. She is currently an Internee at the Department of Electrical and Computer Engineering, COMSATS University Islamabad under the PEC GIT program, where she supports research on intelligent systems. Previously, she interned at the Ghazi-Barotha Hydro Power Plant (WAPDA) in 2023, gaining field exposure to power systems and operational technologies. Additionally, she works as a Technical Writer (Electrical & Electronics) with CDR Professionals, where she contributes research-based content and technical documentation. Hamna’s practical expertise includes projects in AI-driven sensing systems, robotic control, and smart energy applications. Her collaborative work on software-defined RF sensing and machine learning models demonstrates her ability to blend theoretical knowledge with real-time implementation. From smart home innovations to robotic arms and biomedical sensing, Hamna has exhibited both vision and versatility, positioning herself as a promising young engineer in AI, robotics, and embedded control.

Awards and Honors

Hamna Baig has been recognized for her academic excellence, research presentations, and contributions to intelligent systems. She earned a Gold Medal for outstanding academic performance during her Bachelor’s degree. She received Certificates of Gratitude for presenting papers at major conferences including the International Conference on Innovations in Computing Technologies (UET Peshawar), ICCSI (University of Haripur), and ICCIS (Kohat University). Her research presentations on AI-based fan control, robotic fruit harvesting, and end effector position estimation have been acknowledged for their innovation and technical depth. Additionally, she earned certifications from Coursera in prestigious Stanford-offered courses like Machine Learning Specialization and Generative AI for Everyone, showcasing her commitment to continuous learning. Her accolades reflect her dedication to cutting-edge research and meaningful contributions to the engineering community. These awards and recognitions not only celebrate her achievements but also affirm her potential as a leading innovator in AI-driven electrical and robotic systems.

Research Focus

Hamna Baig’s research is centered around Artificial Intelligence, Machine Learning, Robotics, and Wireless Sensing Systems. Her projects emphasize the application of deep learning and AI models for real-world problem-solving, particularly in healthcare monitoring, smart energy systems, and precision robotics. She has developed RF sensing platforms for gait monitoring in Parkinson’s patients, designed AI-based systems for environmental control, and contributed to machine learning-driven robotic arm control for fruit harvesting and biopsy systems. Hamna’s work also explores adaptive fan control for residential energy efficiency and wireless sensing to prevent bedsores, reflecting her commitment to tech-driven well-being. With a blend of academic rigor and engineering intuition, she is passionate about pushing the boundaries of intelligent systems to improve quality of life. Hamna continues to refine her skills in AI integration with embedded hardware, and her ongoing research contributes to the advancement of energy-aware, health-supportive, and human-centric technologies.

Publication Top Notes

  • 📘 Intelligent Frozen Gait Monitoring using Software Defined Radio Frequency Sensing – Electronics (2025)

  • 🤖 Machine Learning-Based Estimation of End Effector Position in Three-Dimension Robotic Workspace – IJIST Journal (2024)

  • 🍊 A Robotic Approach for Fruit Harvesting with Machine Learning based Joint Angles Prediction – ICCSI Conference (2024)

  • 🌬️ Artificial Intelligence based Adaptive Fan Control in Office Settings for Energy Efficiency – ICCIS Conference / Springer (2024)

  • 🦾 A Robotic Arm Based Intelligent Biopsy System – ICCIS Conference / Springer (2024)

  • 🛏️ Design of an Intelligent Wireless Channel State Information Sensing System to Prevent Bedsores – IEEE Sensors (Under Review)

  • 🏠 Enhancing Home Comfort and Energy Consumption with an AI-based Environmental Sensing Control Model – PeerJ (Under Review)

  • 🌬️ Breathing Techniques Redefined: Pros and Cons of Traditional Methods & the Promise of SDRF Sensing – Elsevier, Digital Communications and Networks (Under Review)

Ismail Fidan | Engineering | Innovative Research Award

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Ismail Fidan | Engineering | Innovative Research Award

Dr Ismail Fidan, Tennessee Tech University, United States

Dr. I. Fidan is a Mechanical Engineer, Researcher, and Educator with expertise in robotics, automation, additive manufacturing, and energy systems. With over 30 years of experience, he has contributed significantly to engineering research, education, and innovation. He currently serves as a Professor at Tennessee Technological University (TTU), mentoring students and leading research in smart materials and machine learning applications. He has worked as a Visiting Scholar at Pasadena City College (2022) and an ORISE Research Scientist at Oak Ridge National Laboratory (2013–2014). Dr. Fidan has received over 40 prestigious awards, including the 2024 TTU Outstanding Faculty Award and the 2020 TTU Caplenor Research Award. A Senior Member of IEEE and SME, he actively contributes to technological advancements and engineering education. His research spans carbon-fiber composites, functionally graded metamaterials, and computational optimization techniques, shaping the future of manufacturing and automation.

Publication Profile

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Education 🎓

Dr. I. Fidan earned his Ph.D. in Mechanical Engineering from Rensselaer Polytechnic Institute, USA (1996), specializing in robotics and automation. His dissertation focused on developing an automated rework cell for surface-mounted devices (SMDs), advancing manufacturing efficiency and automation techniques. Prior to that, he completed his M.Sc. in Mechanical Engineering at Istanbul Technical University, Türkiye (1991), where he conducted research on heat transfer through ultra-fine powders, contributing to energy and thermal system advancements. He obtained his B.Sc. in Mechanical Engineering from Anadolu University, Türkiye (1988), focusing on hydraulic machines, with a graduation project on vertical flow ventilators and venturi meters. During his academic journey, he also gained practical industry experience through internships at Kutahya Sugar Production Plant (1987) and TULOMSAS-Eskisehir Train Assembly Plant (1986), where he honed his technical skills in industrial manufacturing and mechanical systems.

Experience

Dr. I. Fidan is a Professor at Tennessee Technological University (TTU), where he leads cutting-edge research in additive manufacturing, machine learning, and smart materials. He is deeply involved in mentoring students and advancing engineering education through innovative curricula and hands-on research projects. In 2022, he served as a Visiting Scholar at Pasadena City College, where he developed machine learning educational resources and supported undergraduate research initiatives. From 2013 to 2014, Dr. Fidan was an ORISE Research Scientist at Oak Ridge National Laboratory, where he contributed to energy-efficient technologies, including modeling next-generation heat pump water heaters and simulating Zero Energy-Campbell Creek Houses. Beyond academia, he has collaborated with industry as a researcher and consultant, developing AI-driven solutions for HVAC and heat pumps and integrating additive manufacturing with alternative energy systems, contributing to sustainable and efficient engineering innovations.

Awards & Honors

Dr. I. Fidan has been widely recognized for his outstanding contributions to teaching, research, and innovation. In 2024, he received the TTU Outstanding Faculty Award for Teaching, followed by the ASEE National Engineering Technology Teaching Award in 2023. His research excellence was honored with the TTU WINGS UP 100 Research Achievement Award in 2022 and the JMMP Best Paper Award in 2021. In 2020, he earned the TTU Caplenor Research Award, the highest faculty distinction at TTU. His dedication to mentoring and academic leadership was acknowledged with the SME Distinguished Faculty Advisor Award in 2018 and the TTU College of Engineering Teacher Scholar Award in 2016. Dr. Fidan’s early career accomplishments include the National Academy of Engineering FOEE Award in 2013, the US Fulbright Senior Scholar Award in 2010, and the SME Jiri Tlusty Outstanding Young Manufacturing Engineer Award in 2003. With over 40 additional awards, he remains a leader in engineering education and research.

Research Focus

Dr. Fidan’s research focuses on advanced manufacturing, robotics, energy systems, and computational modeling, driving innovation in multiple engineering fields. His expertise spans additive manufacturing and 3D printing, where he pioneers smart materials and composite structures. In automation and robotics, he enhances efficiency in manufacturing processes. His work in material science and metamaterials explores functionally graded materials and nanotechnology applications. Leveraging machine learning in engineering, he develops AI-driven solutions for HVAC and heat pump systems. His contributions to sustainable energy systems involve alternative energy applications and energy-efficient designs. Additionally, his research in computational optimization applies simulated annealing and genetic algorithms to improve drilling processes. Through interdisciplinary collaborations, Dr. Fidan has produced high-impact publications in top-tier journals, contributing to significant advancements in manufacturing, automation, and smart materials.

Publication Top Notes

1️⃣ Optimum Cutting Parameters for CFRP Composites – Processes (2024) 📖
2️⃣ Functionally Graded Metamaterials: Fabrication & Modeling – (2024) 🏗️
3️⃣ Energy Efficiency in HVAC Systems Using AI – (2023) ❄️
4️⃣ Advancements in 3D-Printed Smart Materials – (2023) 🏭
5️⃣ Machine Learning in Additive Manufacturing – (2023) 🤖
6️⃣ Simulation of Zero-Energy Buildings – (2022) 🏡
7️⃣ AI-Based Predictive Maintenance for Heat Pumps – (2022) 🔥

 

zongyang hu | Engineering | Best Researcher Award

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Mr. zongyang hu | Engineering | Best Researcher Award

Mr. zongyang hu, Shanghai Jiao Tong University, China

Mr. Zongyang Hu, a PhD candidate in Control Science and Engineering at Shanghai Jiao Tong University’s UMJI, has demonstrated exceptional research capabilities and innovation in process control and optimization.

Education:

2015-2019: Undergraduate in Huazhong University of Science and Technology,
major in Control Science and Engineering;

2019-present: Graduate in UMJI, PhD candidate (advisor: Prof. Mian Li), major in
Control Science and Engineering.

Professional Profiles:

Scopus Profile

Professional Experience:

Zongyang’s professional experience reflects a strong foundation in control systems, industrial automation, and algorithm design, making significant contributions to energy and manufacturing sectors.

Research Interests:

His research interests lie in process control, industrial optimization, and the development of innovative control strategies for enhancing industrial efficiency and sustainability.

Research Experience:

Process Control

Optimization of Supercritical Boiler Combustion in Wucaiwan (2019-2020)

Collaboration with the National Energy Corporation, responsible for algorithm implementation.

Control and Optimization of Tianjin Binhai Garbage Burning and Disposal (2021-2022)

Responsible for algorithm development and implementation.

Visualization of Furnace Temperature Field and Research and Application of Combustion Optimization (2023-2024)

Collaboration with the National Energy Corporation, solely responsible for combustion optimization algorithm development.

Research and Application of Steel Furnace Strip Transition Strategy Control (2024-Present)

Collaboration with Baoshan Iron and Steel Company, responsible for algorithm development.

VR/AR Research

Research and Application Demonstration of Key Technologies of Virtual Experimental Education Platform Based on 5G Network and 8K Ultra-HD Video (2021-2023)

Shanghai Municipal Science and Technology Commission project, responsible for system software and hardware construction and algorithm implementation.

Key Technology Research and Application Demonstration of Digital Workshop Virtual Monitoring and Fault Warning System Based on 5G Internet of Things (2023-2024)

Zhoushan Science and Technology Bureau project, responsible for system software and hardware construction and algorithm implementation.

Smart Energy Storage

Quantitative Evaluation Model for Electrochemical Energy Storage (2024-Present)

Huawei collaboration project, responsible for the development of fault propagation network algorithms for energy storage systems.

Publications:

Efficient model predictive control of boiler coal combustion based on NARX neutral network. Journal of Process Control, 2024, 134: 103158. (SCI, IF: 4.2)

Optimization of power plant denitrification control using online adaptive gain planning method. Electric Power Technology and Environmental Protection, 2023, 39(1): 35-42.

Collaborative optimization for deep peak-shaving and ultra-clean emission of coal-fired boiler using flue gas recycling technology. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2020. DOI: 10.1080/15567036.2020.1760970. (SCI, IF: 2.902)

Digital Twin in smart manufacturing: remote control and virtual machining using VR and AR technologies. Structural and Multidisciplinary Optimization, 2022, 65(11): 321. DOI: https://doi.org/10.1007/s00158-022-03426-3. (SCI, IF: 4.279)

A Human-Inspired Slow-Fast Dual-Branch Method for Product Quality Prediction of Complex Manufacturing Processes with Hierarchical Variations. Advanced Engineering Informatics, Volume 64, 2025. (SCI, TOP)

 

Conclusion:

Mr. Zongyang Hu is a highly qualified and competitive candidate for the Best Researcher Award in engineering. His innovative research contributions, extensive publication record, and interdisciplinary approach position him as a leader in energy optimization and smart manufacturing. While opportunities exist to expand his industry collaborations and public engagement, his current achievements make him a deserving contender for this prestigious recognition.

 

Zhijian Hu | Engineering | Best Researcher Award

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Dr. Zhijian Hu | Engineering | Best Researcher Award

Dr. Zhijian Hu, LAAS-CNRS, France

Dr. Zhijian Hu is a Research Fellow at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He holds a B.Eng. in Electrical Engineering from Dalian Maritime University, an M.Eng. in Control Engineering from Harbin Engineering University, and a Ph.D. in Control Science and Engineering from Harbin Institute of Technology. Dr. Hu’s research focuses on model predictive control, fuzzy control, resilient control, and smart grid applications.

Education

PhD in Control Science and Engineering from Harbin Institute of Technology, China (September 2017 – January 2022), under the supervision of Prof. Ligang Wu.

Master of Engineering in Control Engineering from Harbin Engineering University, China (September 2015 – July 2017).

Bachelor of Engineering in Electrical Engineering and Automation from Dalian Maritime University, China (September 2011 – July 2015).

Professional Profiles

ORCID Profile

Professional Experience

Research Fellow

Institution: School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore

Postdoctoral Researcher

Institution: LAAS-CNRS (Laboratory for Analysis and Architecture of Systems), Toulouse, France

PhD Candidate

Institution: Harbin Institute of Technology, Harbin, Heilongjiang, China

Field: Control Science and Engineering

Research Interests

Dr. Zhijian Hu’s research interests include:

Control Systems and Methodologies

Model Predictive Control

Robust Control and Filtering

Fuzzy Control

Distributed Control

Resilient Control

Intrusion Detection and Security Control

Reinforcement Learning

Neural Networks

Energy Systems and Applications

Power Systems

Smart Grids

Renewable Energies

Load Frequency Control

Electric Vehicles

Wind Turbines

Research Experience

MSCA Postdoctoral Fellow, LAAS-CNRS, France

Funded by the prestigious Marie Skłodowska-Curie Postdoctoral Fellowship.

Duration: December 1, 2023 – November 31, 2025.

Collaborated with Prof. Luca Zaccarian from LAAS-CNRS, France, and Prof. Alessandro Astolfi from Imperial College London, UK.

Research Fellow, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

Conducted advanced research under the supervision of Prof. Rong Su.

Duration: March 28, 2022 – November 31, 2023.

Visiting Researcher, Electrical and Computer Engineering, Carleton University, Canada

Engaged in collaborative research with Prof. Shichao Liu.

Duration: October 2019 – November 2020.

Top Notable Publications

Resilient Frequency Estimation for Renewable Power Generation Against Phasor Measurement Unit and Communication Link Failures

IEEE Transactions on Circuits and Systems II: Express Briefs

DOI: 10.1109/TCSII.2024.3496192

Contributors: Zhijian Hu, Rong Su, Kai Zhang, Ruiping Wang, Renjie Ma

Publication Date: January 2025

A General Resiliency Enhancement Framework for Load Frequency Control of Interconnected Power Systems Considering Internet of Things Faults

IEEE Transactions on Industrial Informatics

DOI: 10.1109/TII.2024.3397400

Contributors: Zhijian Hu, Renjie Ma, Bohui Wang, Yulong Huang, Rong Su

Publication Date: 2024

A Novel Handling Method to Intermittent Feedback in Load Frequency Regulation for Renewable Energy-Dominated Microgrids

IEEE Transactions on Instrumentation and Measurement

DOI: 10.1109/TIM.2024.3457958

Contributors: Zhijian Hu, Qingyang Li, Pu Zhang, Ruiping Wang, Kai Zhang

Publication Date: 2024

Adaptive Tracking Control for Uncertain Nonlinear Multi-Agent Systems With Partially Sensor Attack

IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/TASE.2024.3440394

Contributors: Guangliang Liu, Qiuye Sun, Hanguang Su, Zhijian Hu

Publication Date: 2024

Adversarial FDI Attack Monitoring: Toward Secure Defense of Industrial Electronics

IEEE Industrial Electronics Magazine

DOI: 10.1109/MIE.2023.3292988

Contributors: Renjie Ma, Zhijian Hu, Hongyan Yang, Yuchen Jiang, Mingyi Huo, Hao Luo, Rongni Yang

Publication Date: 2024

Consensus of Input Constrained Multi-Agent Systems by Dynamic Time-Varying Event-Triggered Strategy With a Designable Minimal Inter-Event Time

IEEE Transactions on Circuits and Systems II: Express Briefs

DOI: 10.1109/TCSII.2023.3332593

Contributors: Kai Zhang, Zhijian Hu, Fazhi Song, Xuefei Yang, Yang Liu

Publication Date: 2024

Distributed Secure Estimation Against Sparse False Data Injection Attacks

IEEE Transactions on Systems, Man, and Cybernetics: Systems

DOI: 10.1109/TSMC.2023.3344876

Contributors: Renjie Ma, Zhijian Hu, Lezhong Xu, Ligang Wu

Publication Date: 2024

Modeling Driver Decision Behavior of the Cut-In Process

IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/TITS.2023.3330061

Contributors: Yun Lu, Rong Su, Lingying Huang, Jiarong Yao, Zhijian Hu

Publication Date: 2024

Periodic Event-Triggered and Self-Triggered Control of Spacecraft Rendezvous System With Input Delay

IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/TASE.2024.3439009

Contributors: Kai Zhang, Meilin Li, Zhijian Hu, Xuefei Yang, Kang-Kang Zhang

Publication Date: 2024

Resilient Distributed Frequency Regulation for Interconnected Power Systems With PEVs and Wind Turbines Against Temporary PMU Faults

IEEE Internet of Things Journal

DOI: 10.1109/JIOT.2024.3450725

Contributors: Zhijian Hu, Haifeng Qiu, Hassan Haes Alhelou, Rong Su, Renjie Ma

Publication Date: 2024

Conclusion

Dr. Zhijian Hu is highly deserving of the Research for Best Researcher Award due to his pioneering work in renewable energy systems, automation, and secure industrial electronics. His contributions to resilient and secure control strategies are vital for advancing energy systems, cybersecurity, and modern automation. While his research is already impactful, enhancing the practical applications of his findings and broadening international collaborations would further amplify his contributions to the global scientific and industrial communities. His commitment to advancing knowledge in critical fields positions him as a leader in engineering and technology research.

 

 

 

 

 

Seyed Mohammad Sharifhosseini | Engineering | Best Review Article Award

Published on by Citation Awards

Mr. Seyed Mohammad Sharifhosseini | Engineering | Best Review Article Award

Mr. Seyed Mohammad Sharifhosseini, Shiraz University of Technology, Iran

Seyed Mohammad Sharifhosseini is an electrical engineering graduate from Shiraz University of Technology, Iran. With a strong academic foundation, he has excelled in various graduate and undergraduate courses, achieving top grades in areas such as Electrical Energy Distribution, Power System Operation, Artificial Intelligence, and Modern Control Systems.

Education

Mr. Seyed Mohammad Sharifhosseini is currently pursuing a Master’s degree in Power Systems at Shiraz University of Technology, Shiraz, Iran, where he has maintained an impressive GPA of 18.19/20 (equivalent to 3.86 out of 4). Prior to this, he completed his Bachelor’s degree in Electrical Engineering at the same university from 2017 to 2021, achieving a strong GPA of 17.51/20 (equivalent to 3.72 out of 4). His academic journey reflects consistent dedication and excellence in his field of study.

Professional Profiles

Google Scholar

Professional Experience

Teaching Assistant Roles (Shiraz University of Technology, Iran):

Industrial Drawing (Spring 2019): Assisted in the undergraduate course under the supervision of Prof. Omid Bavi. Proficient in Microsoft Office for course-related tasks.

Power System Analysis I (Spring 2020): Supported the undergraduate course under the supervision of Prof. Taher Niknam. Utilized MATLAB for computational and analytical tasks.

Power System Operation (Spring 2022): Aided in the graduate course under the guidance of Prof. Taher Niknam, focusing on advanced concepts in power systems and employing MATLAB for simulations and problem-solving.

Executive Assistant, Building Management System (BMS) (June 2022 – Present):

Currently working at ZOORIL Company, managing tasks related to Building Management Systems (BMS), contributing to system integration, and ensuring operational efficiency.

Research Interests

Power System Operation

Optimization in Power Systems

Renewable Energy Resources

Home Energy Management System

Cyber-Security in Power Systems

Academic Projects

B.Sc Thesis

Title: Dynamic Simulation of Capacitive Voltage Transformer (CVT) Considering Input Voltage Harmonics

Software Used: MATLAB

Supervised by: Prof. Amirhossein Rajaei

Description: Conducted a dynamic simulation of CVTs, focusing on the effects of input voltage harmonics.

Modern Control Project

Title: Design of Regulator, Tracker, and Observer in Linear Feedback Control System

Software Used: MATLAB/Simulink

Supervised by: Prof. Mokhtar Shasadeghi

Description: Developed advanced control systems incorporating regulators, trackers, and observers in linear feedback mechanisms.

Electrical Energy Distribution Project

Title: Detection and Location of Faults in Electric Power Distribution Networks

Supervised by: Prof. Mohsen Giti-zadeh

Description: Focused on fault detection and localization within electric power distribution systems, enhancing reliability and operational efficiency.

Power System Operation Project

Title: Economic Dispatch With Different Methods

Software Used: MATLAB

Supervised by: Prof. Taher Niknam

Description: Explored various methods for achieving economic dispatch in power systems, optimizing operational costs.

General Theory of Electrical Machines Project

Title: Simulation of Induction Machines in Synchronously Rotating Coordinates and Simulation of Single-phase Transformer with Four Types of Loads

Software Used: MATLAB/Simulink

Supervised by: Prof. Akbar Rahideh

Description: Conducted simulations of induction machines in synchronously rotating reference frames and analyzed transformer behavior under diverse load conditions.

Top Notable Publications

Accepted Publications

Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications

Journal: Energies (Accepted)

Authors: S.M. Sharifhosseini, T. Niknam, M.H. Taabodi, H. Asadi Aghajari, E. Sheybani, G. Javidi, M. Pourbehzadi

Enhanced Resilience in Smart Grids: A Neural Network-Based Detection of Data Integrity Attacks Using Improved War Strategy Optimization

Journal: Electric Power Systems Research (EPSR) (Accepted)

Authors: H. Asadi Aghajari, T. Niknam, S.M. Sharifhosseini, M.H. Taabodi, M. Pourbehzadi

Under Revision

Analyzing Complexities of Integrating Renewable Energy Sources into Smart Grid: A Comprehensive Review

Journal: Applied Energy (Revised)

Authors: H. Asadi Aghajari, T. Niknam, S.M. Sharifhosseini, M.H. Taabodi, E. Sheybani, G. Javidi, M. Pourbehzadi

Submitted Publications

Optimizing Rural Microgrid’s Performance: A Scenario-Based Approach Using the Improved Multi-Objective Crow Search Algorithm Considering Uncertainty

Journal: IEEE Transactions on Smart Grid (Submitted)

Authors: M.H. Taabodi, T. Niknam, S.M. Sharifhosseini, H. Asadi Aghajari, S.M. Bornapour

A Hybrid Crow Search Algorithm and Coalitional Game Theory Approach for Optimal Plug-in Electric Vehicles’ Integration in Networked Microgrids

Journal: IEEE Transactions on Industrial Informatics (Submitted)

Authors: M.H. Taabodi, T. Niknam, S.M. Sharifhosseini, H. Asadi Aghajari

Conclusion

Mr. Seyed Mohammad Sharifhosseini’s suitability for the Research for Best Review Article Award ultimately depends on:

The quality, relevance, and impact of his review articles.

His ability to communicate and disseminate the insights effectively.

His reputation within the academic community as a reviewer or thought leader in his field.

 

 

 

 

 

Abdullah Sukkar | Engineering | Best Researcher Award

Published on by Citation Awards

Mr. Abdullah Sukkar | Engineering | Best Researcher Award

Mr. Abdullah Sukkar, Istanbul Technic University, Turkey

Abdullah Sukkar is a dedicated PhD candidate in Geomatics Engineering at Istanbul Technical University, Turkey, specializing in remote sensing and GIS. With expertise in advanced analytical thinking and problem-solving, he focuses on leveraging technology to address climate change and environmental hazards. Driven by a passion for science and innovation, he aims to develop sustainable solutions and contribute meaningfully to the field of Geomatics Engineering.

Education

Ph.D. in Geomatics Engineering

Institution: Istanbul Technical University, Istanbul, Turkey

Duration: 2022 – Present

Research Area: Drought, Climate Change, Remote Sensing, GIS, Environment

M.Sc. in Geomatics Engineering

Institution: Istanbul Technical University, Istanbul, Turkey

Duration: 2020 – 2022

GPA: 3.75

Thesis Title: Turkey Forest Fire Decision Support System (TFFDSS)

B.Sc. in Geomatics Engineering

Institution: Hacettepe University, Ankara, Turkey

Duration: 2014 – 2019

Honors: Honor Student

Graduation Project: Land Cover Classification Using Satellite Imagery and Deep Learning

Professional Profiles

Scopus Profile

ORCID Profile

Professional Experience

Istanbul Technical University
Geographical Information Technologies Program | Istanbul, Turkey
Teaching Assistant
Feb 2024 – Jun 2024

Facilitated student learning on course topics, GIS software tools (ArcGIS and QGIS), and Python for spatial data analysis and remote sensing applications.

Designed and assessed assignments and projects to reinforce theoretical concepts through practical application.

Provided individualized academic support, ensuring student success in mastering geospatial technologies.

Istanbul Technical University
Geographical Information Technologies Program | Istanbul, Turkey
Teaching Assistant
Sep 2022 – Feb 2023

Guided students in Python programming for GIS applications, including spatial analysis and algorithm development.

Supported project development by reviewing student proposals, advising on algorithm design, and conducting code reviews.

Department of Urban and Regional Planning | Istanbul, Turkey
Teaching Assistant
Nov 2021 – Jun 2022

Designed course materials, prepared syllabi, and aligned teaching objectives with program goals.

Introduced Python, Jupyter Notebooks, and geospatial data visualization techniques to students.

Evaluated student performance through assignments, projects, and exams.

Alya Proje | Ankara, Turkey
Geomatics Engineer
Jul 2019 – Mar 2022

Contributed to 3D modeling projects and photogrammetric mapping processes.

Produced high-resolution digital maps for various applications.

Planned and executed UAV flights to capture geospatial data for mapping and analysis.

Research Interests

Drought Monitoring and Mitigation Strategies

Climate Change Impact Analysis

Remote Sensing Applications in Environmental Monitoring

Geospatial Data Analysis and Visualization

Spatial Analysis of Vegetation Trends Using NDVI

GIS-Based Environmental Planning and Management

Integration of Python in GIS and Remote Sensing

Development of Meteorological Geodatabases

Urban and Regional Planning Using Geospatial Technologies

Research Experience

Research Assistant
Qatar University, Doha, Qatar
Apr 2023 – Jul 2023

Led the preparation of a meteorological geodatabase for Qatar covering the past 40 years, utilizing EAR5 and ERA5-Land datasets.

Applied remote sensing techniques using Google Earth Engine, Python, and QGIS to create NDVI maps, analyzing long-term vegetation trends across Qatar.

Conducted spatiotemporal analysis to explore correlations between climatic conditions and vegetation cover, contributing to the understanding of environmental changes in the region.

Top Notable Publications

Tree Detection from Very High Spatial Resolution RGB Satellite Imagery Using Deep Learning

Authors: Abdullah Sukkar, Mustafa Turker

Year: 2024

Source: Recent Research on Geotechnical Engineering, Remote Sensing, Geophysics, and Earthquake Seismology

DOI: 10.1007/978-3-031-43218-7_34

ISBN: 9783031432170, 9783031432187

ISSN: 2522-8714, 2522-8722

Characterizing the Dynamics of Climate and Native Desert Plants in Qatar

Authors: Meshal Abdullah, Ammar Abulibdeh, Sophia Ghanimeh, Helmi Hamdi, Hezam Al-Awah, Talal Al-Awadhi, Midhun Mohan, Zahraa Al-Ali, Abdullah Sukkar, Ahmed M. El Kenawy

Year: 2024

Journal: Journal of Arid Environments

DOI: 10.1016/j.jaridenv.2024.105274

ISSN: 0140-1963

Investigating the Impacts of Climate Variations and Armed Conflict on Drought and Vegetation Cover in Northeast Syria (2000–2023)

Authors: Abdullah Sukkar, Ammar Abulibdeh, Sara Essoussi, Dursun Zafer Seker

Year: 2024

Journal: Journal of Arid Environments

DOI: 10.1016/j.jaridenv.2024.105278

Investigating Impacts of Climate Change and War on the Green Cover Area in Northeast Syria Between 2000 and 2023

Authors: Abdullah Sukkar, Sara Essoussi, Omar Alqaysi, Enes Hisam, Dursun Zafer Seker

Year: 2024

Preprint DOI: 10.5194/egusphere-egu24-20528

Conceptual Design of a Nationwide Spatial Decision Support System for Forest Fire Prevention and Fighting

Authors: Abdullah Sukkar, Ahmet Ozgur Dogru, Ugur Alganci, Dursun Zafer Seker

Year: 2024

Journal: Applied Geomatics

DOI: 10.1007/s12518-024-00556-9

ISSN: 1866-9298, 1866-928X

The Impacts of Weather Conditions and Topography on Manavgat Wildfire Behavior

Authors: Abdullah Sukkar, Anas Hesham, A. Ozgur Dogru, Dursun Zafer Seker

Year: 2022

Conference: International Symposium on Applied Geoinformatics 2021

DOI: 10.15659/isag2021.12510

 

Conclusion

Mr. Abdullah Sukkar appears to be a suitable candidate for the “Best Researcher Award,” provided his research aligns with the criteria and he has made significant contributions in his field. His strong academic affiliation and potential for further growth in terms of collaboration, visibility, and interdisciplinary approaches would further enhance his candidacy. If his work has already demonstrated substantial impact through publications and practical applications, he would be well-justified for consideration. However, ensuring continuous improvement in his outreach, interdisciplinary work, and methodological innovations could elevate his standing as a world-class researcher.

 

 

 

 

 

 

Mohammad Waseem | Engineering | Best Researcher Award

Published on by Citation Awards

Dr. Mohammad Waseem | Engineering | Best Researcher Award

Dr. Mohammad Waseem, Jamia Millia Islamia New Delhi, India

Dr. Mohammad Waseem is an accomplished academic and researcher currently serving as an Assistant Professor in the Faculty of Engineering & Technology at Jamia Millia Islamia (JMI), New Delhi, India. With a strong background in mechanical engineering and extensive experience in both teaching and research, he has contributed significantly to advancing knowledge in battery technologies and energy systems.

Education:

Ph.D. in Electric Vehicle

Specialization: Design and Development of Solar Powered Assisted Hybrid E-Vehicle

Division: I

Percentage: 90%

Institution: Jamia Millia Islamia (JMI), New Delhi, India

M.Tech. in CAD/CAM

Division: I

Percentage: 83%

Institution: Motilal Nehru National Institute of Technology (MNNIT), Allahabad, India

B.Tech. in Mechanical Engineering

Division: I

Percentage: 71.72%

Institution: G.B. Pant Engineering College, Pauri, Uttarakhand, India

Professional Profiles:

ORCID Profile

Professional Experience:

Dr. Waseem has extensive teaching experience in mechanical and energy engineering across multiple institutions. His career spans over seven years, including:

Assistant Professor and Researcher, Faculty of Engineering & Technology, Jamia Millia Islamia, New Delhi (2020–Present):

Teaching and mentoring students in mechanical and energy engineering.

Developing research initiatives and establishing advanced facilities like the Mechatronics Laboratory.

Assistant Professor, Galgotias University, Greater Noida (2019–2020):

Delivered lectures in mechanical engineering with a focus on energy systems and design.

Assistant Professor, Department of Mechanical Engineering, Integral University, Lucknow (2013–2015):

Taught courses on core mechanical engineering subjects and supervised undergraduate projects.

Research Interests:

Dr. Waseem’s research interests are focused on innovative technologies and methodologies in the field of energy systems, particularly those applicable to electric vehicles (EVs). His areas of expertise include:

Battery energy storage systems for EVs.

Simulation and modeling of batteries.

Lithium-ion and solid-state batteries.

Fuel cells.

Battery management systems (BMS) and battery thermal management systems.

Safety concerns in battery design and operation.

Integration of Artificial Intelligence (AI) and Internet of Things (IoT) in BMS.

Charging infrastructure for EVs, including wireless power transfer techniques.

Renewable energy integration with EV systems.

ORGANIZATION OF SEMINARS AND WORKSHOPS

Volunteer, Advances in Robotics international conference, at Department of Mechanical Engg., IIT Delhi. June 28 to July 02, 2017.
Volunteer, International Conference and Exhibition on Building Utilities, at Department of Mechanical Engineering. Faculty of Engg. & Tech. Jamia Millia Islamia, New Delhi-25. Dec. 01- 03, 2016.
Volunteer, National Seminar on Solar Robotics, at Department of Mechanical Engineering. Faculty of Engg. & Tech. Jamia Millia Islamia, New Delhi-25. Oct. 08- 10, 2015.
Faculty Coordinator, Water Rocket Launch and Air Wizard Show, Department of Mechanical Engineering, at Integral University Lucknow on March 16, 2015.

Research & Development Achievements

Dr. Waseem has demonstrated leadership in academic publishing and collaboration:

Editor-in-Chief of the IFR Journal of Engineering and Natural Science, Jordan.

Reviewer for prestigious journals, including Science Direct, Springer, Wiley, IEEE, and IJAME, since 2019.

Editorial Board Member of the International Journal of Transportation Engineering and Technology (2021–2023).

Published research on modeling and analysis, such as the study of a connecting rod for a Pulsar 180CC bike (DOI: 10.1088/2631-8695/ac1727).

Top Notable Publications:

Energy Storage Technology and Electric Vehicles

Next Energy, 2025-01

DOI: 10.1016/j.nxener.2024.100202

Focus: Current progress and future outlook in energy storage and its impact on EVs.

Contributors: Mohammad Waseem, G. Sree Lakshmi, Mumtaz Ahmad, Mohd Suhaib.

Charging Infrastructure in Electric Mobility

Energies, 2024-12-05

DOI: 10.3390/en17236137

Focus: Integrated review of state-of-the-art advancements in charging infrastructure.

Contributors: Mohammad Waseem, Eniganti Sreeshobha, Kotha Shashidhar Reddy, Teresa Donateo.

Electric Vehicle Batteries and Management Techniques

Energy Storage and Saving, 2024-10-15

DOI: 10.1016/j.enss.2024.09.002

Focus: Obstacles, advancements, and recommendations in EV battery technologies.

Contributors: Mohammad Waseem, G. Sree Lakshmi, Sreeshobha Eniganti, Shahbaz Khan.

Wireless EV Charging Circuit Topologies

Green Energy and Intelligent Transportation, 2024-03

DOI: 10.1016/j.geits.2024.100196

Focus: Review of compensation converters in wireless EV charging.

Contributors: Mohammad Amir, Izhar Ahmad, Mohammad Waseem, Mohd Tariq.

Energy Storage System for E-Rickshaws in India

Book Chapter, 2023

DOI: 10.1007/978-981-99-1894-2_40

Focus: Analysis of energy storage solutions for e-rickshaws.

Contributors: Mohammad Waseem, Mumtaz Ahmad, Aasiya Parveen, Mohd Suhaib.

Fuel Cell-based Hybrid Electric Vehicles

Green Energy and Intelligent Transportation, 2023-12

DOI: 10.1016/j.geits.2023.100121

Focus: Current status, challenges, and future prospects of fuel cell hybrid vehicles.

Contributors: Mohammad Waseem, Mohammad Amir, G. Sree Lakshmi, S. Harivardhagini, Mumtaz Ahmad.

Battery Management Systems for EVs

Journal of Power Sources, 2023-10

DOI: 10.1016/j.jpowsour.2023.233349

Focus: Challenges and advancements in battery management systems.

Contributors: Mohammad Waseem, Mumtaz Ahmad, Aasiya Parveen, Mohd Suhaib.

Simscape Modeling for Solar Electric Traction Systems

Transactions of the Indian National Academy of Engineering, 2023-09

DOI: 10.1007/s41403-023-00408-9

Focus: Simulation and analysis of solar-assisted electric traction systems.

Contributors: Mohammad Waseem, Mumtaz Ahmad, Mohd. Suhaib.

Renewable Solar Energy with Autonomous Vehicles

Lecture Notes in Civil Engineering, 2020

DOI: 10.1007/978-981-15-2545-2_13

Focus: Review of solar energy applications in autonomous vehicles.

Contributors: Waseem, M., Sherwani, A.F., Suhaib, M.

Integration of Solar Energy in Vehicles

SN Applied Sciences, 2019-11

DOI: 10.1007/s42452-019-1458-4

Focus: Technological advancements in solar energy integration for EVs.

Contributors: Mohammad Waseem, Ahmad Faizan Sherwani, Mohd Suhaib.

Conclusion:

Dr. Mohammad Waseem has an exemplary record of research and publications, making him a strong contender for the Research for Best Researcher Award. His work in energy storage, electric vehicles, and renewable energy aligns with critical global challenges, demonstrating both academic rigor and societal relevance. While he could enhance his profile by improving citation metrics, securing major grants, and assuming leadership roles in international research collaborations, his current achievements already position him as a distinguished researcher in his field.