Assoc. Prof. Dr. Ekaterina Gospodinova | Photovoltaic Systems Awards | Best Researcher Award

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Assoc. Prof. Dr. Ekaterina Gospodinova | Photovoltaic Systems Awards | Best Researcher Award 

Assoc. Prof. Dr. Ekaterina Gospodinova, Technical University of Sofia, Bulgaria

Dr. Ekaterina Gospodinova Zaharieva is an Associate Professor of Engineering at the Technical University of Sofia, Bulgaria, with extensive experience in both academia and research. With a Ph.D. in Software Engineering, she has specialized in Artificial Intelligence, Software Engineering, and Neural Networks. Over her career, she has excelled in designing engaging lectures, developing online courses, and enhancing student engagement through innovative teaching methods. Dr. Zaharieva is known for her expertise in integrating technology into the classroom, using tools like PowerPoint and Google Classroom to foster interactive learning experiences. Her research spans topics such as neural networks for predicting viral infections and energy efficiency algorithms. In addition to her academic roles, she has a strong background in software development and has contributed to numerous research projects and publications. Dr. Zaharieva is passionate about mentoring students and doctoral candidates, working on scientific papers, textbooks, and providing training. She is a member of various professional organizations including Rotary International and the Institute of Electrical and Electronics Engineers (IEEE), and is committed to advancing the field of computer technology through her teaching and research endeavors.

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Summary of Suitability for Best Researcher Award:

Dr. Ekaterina Gospodinova Zaharieva is a distinguished lecturer and researcher at the Technical University of Sofia, Bulgaria, with over 30 years of experience in computer technology and artificial intelligence. Her dedication to creating engaging educational content, combined with her research expertise, positions her as a leading candidate for the Best Researcher Award.

🎓 Education:

  • 🧠 Ph.D. in Software Engineering (2020)
    University “Prof. Dr. Assen Zlatarov” – Burgas, Bulgaria

    • Specialized in Artificial Intelligence, Neural Networks, Software Assurance, and Communication Technology

    • Dissertation: Concepts for building distributed special-purpose information systems

    • Research Projects:

      • Mathematical modeling & prediction of viral infections using neural networks

      • Energy efficiency improvement using artificial neural networks

  • 💻 M.Sc. in Informatics (2006)
    Technical University of Sofia – Sofia, Bulgaria

    • Courses: Mathematical Modeling, Programming Languages, Mathematical Linguistics, Automated Information Systems

  • 🛠️ M.Sc. in Engineering (1995)
    Technical University of Sofia – Sofia, Bulgaria

    • Dissertation: System Modeling of Real Systems and Software Assurance

    • Achievements during study:

      • 🏆 Marie Curie Award recipient (1995)

      • 🎓 High Achievement Scholarship (1992, 1993)

      • 🤝 President, Student Council

      • 🎾 Tennis Team Captain

      • 💡 Member of Mathematical Linguistics, Programming, Computer Graphics clubs

💼 Work Experience:

  • 👩‍🏫 Associate Professor / Lecturer (2012–present)
    Technical University of Sofia, Sliven, Bulgaria

    • Lecture development, remote teaching, academic publishing

    • Designed engaging online and in-person coursework using AI and neural networks

  • 📐 High School Mathematics Teacher (2004–2018)
    Sliven, Bulgaria

    • Enhanced classroom engagement and collaborated in school-wide academic initiatives

  • 💻 Developer, Proteus Solutions GBR, Germany (2003–2013)

    • Process optimization, task delegation, and interdepartmental coordination

  • ⚡ Teacher, Electrical Engineering High School (1995–2004)

    • Led extracurricular activities and mentored students

  • 🔧 Developer, R&ES, Germany (1998–2003)

    • Focus on analytical problem-solving and collaborative development

🏅 Awards & Honors:

  • 🏅 Marie Curie Award (1995)

  • 🎓 Multiple academic scholarships for excellence

  • 🏆 Professional Engineering (PE) License – National Council of Examiners for Engineering and Surveying

  • 🧠 Member of IEEE, Rotary International, and Association of Information Technology Professionals

Publication Top Notes:

Forecasting Models and Genetic Algorithms for Researching and Designing Photovoltaic Systems to Deliver Autonomous Power Supply for Residential Consumers

Mathematical Modeling based on Neural Network Learning for Object Recognition in Automated Systems

Urban Information Infrastructure Modal Interface Construction Algorithm

Optimizing the Energy Efficiency of a Lighting Network using Graph Theory

Information Processing with Stability Point Modeling in Cohen–Grossberg Neural Networks

Practical stability with respect to h-manifolds for impulsive control functional differential equations with variable impulsive perturbations

Technologies for the introduction of digitalized cultural heritage to visually impaired people

Mr. Tengfei Cheng | Hydrogen energy | Best Researcher Award

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Mr. Tengfei Cheng | Hydrogen energy | Best Researcher Award 

Mr. Tengfei Cheng, Hefei General Machinery Research Institute Co., Ltd, China

Tengfei Cheng is an engineer specializing in materials science and engineering, currently working in the Basic Research Department of Pressure Vessel and Pipeline Technology at Hefei General Machinery Research Institute, China. He previously served as an assistant engineer at the New Materials Research Center of Yunnan Innovation Institute of Beijing University of Aeronautics and Astronautics. He holds both a Master’s and a Bachelor’s degree in Materials Science and Engineering from Shanghai University. His research focuses on hydrogen storage materials, lithium-sulfur batteries, and alloy development, with multiple publications in high-impact journals. He has been awarded research funding for projects related to hydrogen storage system design and high-entropy alloys.

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Summary of Suitability for Best Researcher Award – Tengfei Cheng

Tengfei Cheng is a highly qualified candidate for the Best Researcher Award due to his outstanding contributions to materials science, energy storage, and hydrogen storage technology. His work demonstrates a strong academic background, impactful research output, and leadership in funded projects.

🔬 Education:

🎓 Master’s Degree (Materials Science and Engineering) – Shanghai University, China (2018-2021)
🎓 Bachelor’s Degree (Materials Science and Engineering) – Shanghai University, China (2014-2018)

💼 Work Experience:

👨‍💻 Engineer – Hefei General Machinery Research Institute, China (2021-Present)
🔬 Assistant Engineer – Yunnan Innovation Institute of Beijing University of Aeronautics and Astronautics, China (2021)

🏆 Awards & Research Grants:

💡 Design and Safety Assessment Technology of High Density Adaptive Solid State Hydrogen Storage System – China National Machinery Industry Corporation (2024-2027)
🔬 Research on Uniformization Preparation and Hydrogen Storage Properties of Titanium-Based High Entropy Alloys – Hefei General Machinery Research Institute (2023-2025)

📚 Notable Publications:

🔋 Lithium-Sulfur Batteries: Research on boosting polysulfide conversion using topological insulator heterojunctions
🔬 Hydrogen Storage Materials: Review on severe plastic deformation for high-pressure torsion
⚡ Li-Ion Batteries: Functionalized polyethylene separators for fast charging
🛠 Materials Science: Study on Al-Cu-Mg aluminum alloy using molecular dynamics simulation

Publication Top Notes:

Enhanced Lithium Polysulfide Conversion via the Second Current Collector Based on Multitransition-Metal-Phosphides for Li–S Batteries

Thiol-assisted regulated electronic structure of ultrafine Pd-based catalyst for superior formic acid electrooxidation performances

Topological Insulator Heterojunction with Electric Dipole Domain to Boost Polysulfide Conversion in Lithium‐Sulfur Batteries

Functionalized Polyethylene Separators with Efficient Li-Ion Transport Rate for Fast-Charging Li-Ion Batteries

Study on the Microstructure and Mechanical Properties of Al–Cu–Mg Aluminum Alloy Based on Molecular Dynamics Simulation

Effects of the corrosion mechanism evolution of low silicon-cast aluminium alloys in service

 

Dr. Jesús R. Vázquez | Microgrids Awards | Best Researcher Award

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Dr. Jesús R. Vázquez | Microgrids Awards | Best Researcher Award

Dr. Jesús R. Vázquez, University of Huelva, Spain

He earned his degree in Industrial Engineering with a specialization in Electricity from the University of Seville in 1995 and completed his Ph.D. at the University of Huelva in 2004, receiving the highest distinction, Cum Laude, for his thesis on “Design of a Power Conditioner Using Artificial Neural Networks.” With extensive experience in the field, Vázquez began his career as an electrical testing manager at Lypsa S.A. in 1995 and has been affiliated with the University of Huelva since 1996. He became an Associate Professor in the Department of Electrical and Thermal Engineering, Design and Projects, in 2008. His teaching expertise includes Electrical Circuit Analysis, Photovoltaic Solar Installations, and Power Supply Quality, and he played a key role in launching the Master’s in Renewable Energy System Design and Power Quality program. Vázquez has contributed to 14 funded research projects, authored 33 scientific articles, and presented at 67 national and international conferences. He has been an active member of the TEP-964 Research Group at the University of Huelva since 2016 and has held various administrative roles, including Department Secretary and Head of the Department of Electrical and Thermal Engineering. His career reflects a steadfast commitment to advancing education, research, and innovation in electrical engineering.

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Summary of Suitability for Best Researcher Award: Jesús R. Vázquez

Jesús R. Vázquez is highly deserving of the Research for Best Researcher Award based on his exceptional contributions to the field of Electrical Engineering, his dedication to education, and his impactful research. Below are the key points supporting this conclusion

Education 🎓:

  • Bachelor’s Degree in Industrial Engineering (Specializing in Electricity)
    University of Seville, Spain (1995)
  • Ph.D. in Electrical Engineering
    University of Huelva, Spain (2004)
    Dissertation: “Design of a Power Conditioner Using Artificial Neural Networks”
    Cum Laude distinction 🎖️

Work Experience 💼:

  • Electrical Testing Manager
    Lypsa S.A., Barcelona (1995)

    • Managed electrical testing in Nissan Motor Ibérica’s prototype testing laboratory.
  • Associate Professor
    University of Huelva, Spain (2008–Present)

    • Department of Electrical and Thermal Engineering, Design, and Projects.
    • Teaches courses in Electrical Circuit Analysis, Photovoltaic Solar Installations, Power Supply Quality, etc.
    • Contributed to undergraduate and master’s programs and launched the Master’s in Renewable Energy System Design and Power Quality (2007).
    • Helped establish the Bachelor’s in Energy Engineering (2012).

Achievements 🏆:

  • Books: Author of 5 textbooks 📚.
  • Scientific Publications: 33 articles, 15 of which are indexed in JCR 📝.
  • Conference Contributions: 67 national and international presentations 🌍.
  • Research Projects: Contributed to 14 funded projects 💡.
  • Research Group: Member of the TEP-964 Research Group at the University of Huelva (GIMA) since 2016 🔬.

Awards and Honors 🏅:

  • Ph.D. Dissertation: Cum Laude distinction for his doctoral thesis 📜.
  • Scholarships: Received from Ertoil S.A. (Huelva) and Nissan Motor Ibérica (Barcelona) 🎓.
  • University Leadership: Served as Department Secretary (1997–2004) and Head of the Department of Electrical and Thermal Engineering (2004–2012) 🏫.
  • Academic Committees: Participated in the ETSI Board and the University Senate 🏛️.

Publication Top Notes:

Design and Practical Implementation of Microgrid Inverter Control Using TMS320F28335 Microcontroller with Improvement in Electrical Power Quality

Identification of Both Distortion and Imbalance Sources in Electrical Installations: A Comparative Assessment

Artificial vision wireless PV system to efficiently track the MPP under partial shading

Complete and versatile remote controller for PV systems

Grid-Connected PV Systems Controlled by Sliding via Wireless Communication

Mr. Muhammad Nasir | Power System Awards | Best Researcher Award

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Mr. Muhammad Nasir | Power System Awards | Best Researcher Award 

Mr. Muhammad Nasir, University of Tasmania, Australia

Muhammad Nasir is a Ph.D. scholar in Information and Communication Technology at the University of Tasmania, Australia. he has a strong academic and professional background in computer engineering. He holds an MS in Computer Engineering from the University of Engineering & Technology, Lahore, Pakistan, and a BS in Computer Engineering from the University of Engineering & Technology, Taxila, Pakistan. Muhammad has extensive teaching and research experience. Currently, he works as a tutor in the School of ICT at the University of Tasmania, where he conducts tutorials for various courses. Previously, he served as a lecturer and lab engineer in the Department of Computer Engineering at the University of Lahore, Pakistan, contributing to both theoretical and practical education in computer engineering. He also gained industry experience as a Junior Software Developer at Egnie Next, where he worked on front-end and back-end integration.

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Summary of Suitability for Best Researcher Award: Muhammad Nasir

Muhammad Nasir, a PhD scholar in Information and Communication Technology at the University of Tasmania, is an outstanding candidate for the Best Researcher Award. His research focuses on control and automation, particularly in the realm of Autonomous Systems using deep learning techniques. His academic background includes a Master’s and Bachelor’s degree in Computer Engineering from esteemed institutions in Pakistan, where he has demonstrated exceptional performance throughout his education.

Education 🎓

  • PhD in Computer Engineering
    University of Tasmania, Launceston, Australia
    Sep 2023 – Present
  • MS in Computer Engineering
    University of Engineering & Technology, Lahore, Pakistan
    Sep 2017 – Sep 2020
  • BS in Computer Engineering
    University of Engineering & Technology, Taxila, Pakistan
    Oct 2013 – July 2017

Work Experience 💼

  • Tutor
    School of ICT, University of Tasmania, Tasmania, Australia
    2024 – Present

    • Conducting tutorials for KIT101, KIT108, and KIT213.
  • Lecturer
    Department of Computer Engineering, The University of Lahore, Lahore, Pakistan
    Feb 2021 – 2023

    • Conducting lectures for Computer Engineering degree.
  • Lab Engineer
    Department of Computer Engineering, The University of Lahore, Lahore, Pakistan
    Sep 2017 – Feb 2021

    • Conducting labs for Computer Engineering degree.
  • Junior Software Developer Intern
    Egnie Next, Lahore, Pakistan
    Jul 2015 – Aug 2015

    • Designing front-end pages and connecting them with the back end.

Achievements & Awards 🏆

  • Higher Education Commission (HEC) Need-Based Scholarship
    For BS Students, University of Engineering & Technology (UET), Taxila, Pakistan
    (2013-2017)
  • Chief Minister UJALA Scheme for Bright Intermediate Students
    Govt. Post Graduate College, Chishtian, Pakistan
    (2011-2013)

Publication Top Notes:

Control Conditions for Equal Power Sharing in Multi-Area Power Systems for Resilience Against False Data Injection Attacks

H∞ performance tracking and group consensus of delayed multiagent systems under attack

Adaptive Sliding Mode Resilient Control of Multi-Robot Systems with a Leader–Follower Model under Byzantine Attacks in the Context of the Industrial Internet of Things

Frequency domain consensus control analysis of the networked multi-agent system with controller area network bus–induced delay

Prof. Niranjan Nayak | Green microgrid Award | Best Researcher Award

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Prof. Niranjan Nayak | Green microgrid Award | Best Researcher Award 

Prof. Niranjan Nayak, Siksha ‘O’ Anusandhan, Bhubaneswar, INDIA

Prof. (Dr.) Niranjan Nayak is a distinguished academic and researcher with extensive expertise in Electrical and Electronics Engineering. He earned his B.Tech in Engineering from the Institution of Engineers, Kolkata, in 1992, followed by a Master’s degree from University College of Engineering (now Vir Surendra Sai University of Technology) in 2003, and a Ph.D. from Siksha ‘O’ Anusandhan University in 2015. Currently, Dr. Nayak serves as a Professor at Siksha ‘O’ Anusandhan University, India, where his research interests include energy management, energy storage and conversion, microgrid control, renewable energy, optimal control, electric vehicles (EV), evolutionary computing, and machine learning. With over 100 publications in renowned journals and international conferences, Dr. Nayak has made significant contributions to his field. He has also edited three major conference proceedings and chaired international conferences, including AECSS-2019 and APSIT-2021 and 2023. As a dedicated member of IEEE, IE, IET, and ISTE, he actively reviews for various international journals under prestigious publishers such as IEEE and Elsevier. Dr. Nayak’s work continues to advance innovation in electrical and electronics engineering.

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Summary of Suitability for Best Researcher Award

Prof. (Dr.) Niranjan Nayak is a highly accomplished academic and researcher, making him a strong contender for the Best Researcher Award. His extensive academic journey, starting with his B.Tech from the Institution of Engineers, Kolkata, followed by a Master’s degree from University College of Engineering, and culminating in a Ph.D. from Siksha ‘O’ Anusandhan (Deemed to be University), reflects a solid foundation in Electrical and Electronics Engineering.

Education:

  • B.Tech in Engineering from the Institution of Engineers, Kolkata, India, in 1992.
  • Master’s degree from University College of Engineering (UCE), currently known as Vir Surendra Sai University of Technology (VSUT), in 2003.
  • Ph.D. degree from Siksha ‘O’ Anusandhan deemed to be university, India, in 2015.

Work Experience:

  • Professor in the Department of Electrical & Electronics Engineering, Faculty of Engineering, Siksha ‘O’ Anusandhan deemed to be university, India.
    • Has authored and co-authored around 100 journals and international conference papers.
    • Current research interests include energy management, energy storage & conversion, microgrid control, renewable energy, optimal control, electric vehicles (EV), evolutionary computing, and machine learning.
    • Edited three conference proceedings: AECSS-2019, APSIT-2021, and APSIT-2023.
    • Served as the General Chair of the 1st International Conference on Advances in Electrical Control and Signal System (AECSS-2019), and also for Advances in Electrical Power, Signal & Information Technology (APSIT-2021 and APSIT-2023).
    • Reviewer for several international journals under IEEE, Elsevier, and other publishers.
    • Member of IEEE, IE, IET, and ISTE.

Publication top Notes:

A new representation learning based maximum power operation towards improved energy management integration with DG controllers for photovoltaic generators using online deep exponentially expanded RVFLN algorithm

“Communicating Glove” for Specially and Differently Abled Person Using Arduino-Based IOT

Improvement of Power and Energy Disturbances in AC Micro Grid Using Discrete Wavelet Based Extended Neural Network

Forest Fire identification: Harnessing Internet of Things (IoT) and Artificial Intelligence

A state-of-art review on 2D material-boosted metal oxide nanoparticle electrodes: Supercapacitor applications

Dr. Salomao Moraes da Silva Junior | Lab-on chip | Best Researcher Award

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Dr. Salomao Moraes da Silva Junior | Lab-on chip | Best Researcher Award

Dr. Salomao Moraes da Silva Junior, BioSense Institute, Serbia

Salomão Moraes da Silva Junior is a Brazilian microfluidics researcher with a focus on cutting-edge bioengineering applications. Born in Manaus, Brazil, he holds a Joint Ph.D. in Engineering Sciences from Vrije Universiteit Brussel and a Ph.D. in Electrical Engineering from the University of Campinas. Currently working at BioSense Institute in Serbia, Salomão has developed innovative microfluidics platforms, ranging from single-cell encapsulation to advanced microfabrication. His work spans biosensors, agriculture, and environmental sectors, making significant strides in microfluidic device design. With expertise in microfabrication, precision control, and integration, his research has been published in top-tier journals. Salomão has contributed to the fields of biosensors, cleanroom microfabrication, and fluid dynamics, advancing the capabilities of Lab-on-a-Chip systems.

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Summary of Suitability for the Best Researcher Award

Salomão Moraes da Silva Junior is highly qualified for the Best Researcher Award due to his strong academic background, extensive research experience, and innovative contributions in the field of microfluidics and biosensors. His achievements reflect both technical expertise and impactful research output, making him a strong candidate for this award.

 🎓Education 

Salomão Moraes da Silva Junior has a robust educational background that highlights his expertise in Electrical Engineering and Microfluidics. He holds a prestigious Joint Ph.D. in Engineering Sciences with “Greatest Distinction” from Vrije Universiteit Brussel, earned in 2019, and another Ph.D. in Electrical Engineering from the University of Campinas (UNICAMP) the same year. He also completed a Master’s in Electrical Engineering from UNICAMP in 2014 and a Bachelor’s degree in Electrical Engineering from the State University of Amazonas (UEA) in 2012. His foundational technical education includes a Post-Technician diploma in Electronics from CETAM (2008) and a Technician in Electronics certification from the Mathias Machline Foundation (FMM) in 2004. Salomão’s educational journey laid the groundwork for his contributions to microfluidic research and bioengineering innovations.

  💼  Experience 

Salomão Moraes da Silva Junior is an experienced microfluidics researcher, currently a post-doctoral researcher at the BioSense Institute, University of Novi Sad (2021–Present). His work includes developing microfluidics platforms for biosensors, agriculture, and environmental applications. He also manages cleanroom labs, excelling in microfabrication protocols from design to application. Prior to this, he worked as an Engineer of New Technology at AbCheck s.r.o (2019–2021), where he developed microfluidics platforms for pharmaceutical applications. Salomão also served as a Doctoral Research Assistant (2014–2019) at Vrije Universiteit Brussel and UNICAMP, focusing on droplet generators and micromixers. Earlier in his career, he worked as a Master Research Assistant at UNICAMP (2012–2014) and as an Electronic Technician at Videolar S/A, handling maintenance in automated manufacturing systems. His extensive experience spans cleanroom fabrication, microfluidics device development, and bioengineering innovations.

🏅Awards and Honors 

Salomão Moraes da Silva Junior has been recognized for his academic and research excellence throughout his career. He graduated with “Greatest Distinction” from Vrije Universiteit Brussel, earning a prestigious Joint Ph.D. in Engineering Sciences. He has also been recognized for his innovative contributions to microfluidics, particularly in the development of Lab-on-a-Chip systems and biosensors. His research publications have been featured on journal covers, such as his work in Química Nova. Salomão’s cutting-edge research has been presented at numerous international conferences, where he has earned accolades for his pioneering work in microfluidics and biosensor integration. His awards and honors underscore his contributions to the fields of electrical engineering, biosensing, and environmental monitoring, positioning him as a leader in microfabrication and fluid dynamics.

 🌍 Research Focus 

Salomão Moraes da Silva Junior’s research focuses on the development of innovative microfluidics platforms for biosensors, agriculture, and environmental applications. His expertise lies in microfabrication processes, where he designs and validates advanced microfluidic devices tailored for specific uses, including single-cell encapsulation and picoinjection. Salomão specializes in creating microfluidic systems integrated with sensors, enabling high-precision manipulation of fluids for applications in biosensing and Lab-on-a-Chip technologies. His work also involves the fabrication of passive and active micromixers, droplet generators, and fluid control systems, using cutting-edge materials and cleanroom techniques. Salomão’s research is particularly focused on developing microfluidic solutions that address challenges in environmental monitoring and bioengineering, ensuring seamless integration with other microsystems. His contributions to this interdisciplinary field have paved the way for more efficient and versatile applications of microfluidic technologies.

  📖 Publication Top Notes

A Novel Microfluidics Droplet-Based Interdigitated Ring-Shaped Electrode Sensor for Lab-on-a-Chip Applications
WET TREATMENT AND THE BEHAVIOR OF ELECTROLESS Ni-P DEPOSITION AT 40 °C ON POLISHED ALUMINA
MICROFABRICATION PROCESS OF PASSIVE AND ACTIVE MICROFLUIDIC DEVICES
Microfluidic devices on glass for liquid mixtures concentration with coupled Thz sensor
Subterahertz sensor in microfluidic devices for on-line determination and control of ethanol concentration

Dr. Shehroze Khan | Stretchable | Best Researcher Award

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Dr. Shehroze Khan | Stretchable | Best Researcher Award

Dr. Shehroze Khan, NED University of Engineering and Technology, Pakistan

Shehroze Tahir Khan is a dynamic mechanical engineer, currently serving as an Assistant Professor at NED University of Engineering and Technology, Karachi. He earned his Ph.D. in Mechanical Engineering from the same institution in 2023. With extensive experience in both industry and academia, Shehroze has a robust portfolio in areas such as MEMS device fabrication, smart materials, and nanogenerators. He has contributed to numerous high-impact research projects, secured research grants, and published extensively in peer-reviewed journals. His professional career spans across teaching, conducting cutting-edge research, and industrial roles where he spearheaded critical operational improvements in various engineering processes. A dedicated educator and researcher, Shehroze is committed to advancing the field of mechanical engineering through his innovative projects and research, fostering the next generation of engineers

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Summary of Shehroze Tahir Khan’s Suitability for the Best Researcher Award:

Shehroze Tahir Khan is highly suitable for the Best Researcher Award due to his extensive research in MEMS and smart materials, his active role in academia and industry, and his notable achievements in securing research grants and leading innovative projects. His contributions significantly advance the fields of flexible electronics and mechanical systems, making him a deserving candidate for this prestigious award.

  🎓 Education 

Shehroze Tahir Khan holds a Ph.D. in Mechanical Engineering from NED University of Engineering and Technology, Karachi (2023), with a thesis on dynamic mechanical characterizations of thin film materials for MEMS applications. He also earned a Master’s in Engineering Management (M.E.M.) from the Department of Industrial and Manufacturing Engineering at the same university in 2015, where he honed his skills in managing complex engineering projects and systems. His academic journey began with a Bachelor of Engineering (B.E.) in Mechanical Engineering from NEDUET in 2013, where he developed a strong foundation in mechanical systems, materials, and engineering design. Throughout his educational career, Shehroze demonstrated academic excellence, successfully integrating theory with practice and contributing significantly to research projects. His educational background has equipped him with the knowledge and skills to excel in both academic and industrial sectors.

💼 Experience

Shehroze Tahir Khan has built a versatile career in both academia and industry. He is currently an Assistant Professor at NED University of Engineering and Technology, where he teaches mechanical engineering courses, including Mechanical Vibrations, and supervises undergraduate projects in mechatronics and thin-film devices. From 2016 to 2023, he served as a Lecturer at NEDUET, guiding students through various engineering disciplines such as Mechanics of Machines and Engineering Graphics. Before joining academia, Shehroze worked as a Production Engineer at International Steels Limited from 2014 to 2016, where he led a team in overseeing plant operations, quality control, and maintenance. His industrial experience also includes optimizing production processes, implementing safety measures, and managing inventory. His diverse roles have allowed him to bridge the gap between theoretical knowledge and practical application, making significant contributions in both educational and industrial settings.

 🏅 Awards and Honors 

Shehroze Tahir Khan has been recognized for his research and academic contributions with several awards and honors. He won a prestigious research grant of PKR 2.3 million for a project aimed at the digitalization of a hydraulic spring testing machine, funded by the Ministry of Science and Technology (MoST). His organizational skills were highlighted when he successfully coordinated the 8th International Mechanical Engineering Conference (IMEC-2018) at NED University, Karachi. During his time at International Steels Limited, Shehroze implemented the 5S methodology, improving operational efficiency and safety, a contribution that was widely acknowledged within the organization. His work in both academia and industry showcases his commitment to innovation and excellence, earning him a respected place among his peers. These accolades underscore his dedication to advancing engineering practices and fostering continuous improvement in his field.

 🌍 Research Focus 

Shehroze Tahir Khan’s research focuses on the fabrication and characterization of Micro-Electro-Mechanical Systems (MEMS) devices, with particular attention to stretchable and flexible electronics. His work in mechanical characterization techniques for thin-film devices has significant implications for the development of next-generation smart materials, including triboelectric and piezoelectric nanogenerators. Shehroze is dedicated to exploring the mechanical properties of advanced materials to enhance their application in MEMS, making strides in the fields of energy harvesting and flexible electronics. His research also delves into the integration of smart materials into wearable technology, contributing to advancements in the Internet of Things (IoT) and energy-efficient systems. By focusing on the practical applications of these materials in dynamic environments, his work has the potential to revolutionize sectors such as healthcare, consumer electronics, and renewable energy.

 📖 Publications Top Notes

Electromechanical characterizations of PEDOT: PSS and its nanocomposite thin films on a cost-effective polymer substrate for microelectromechanical systems (MEMS) applications.
Characterizations of a cost-effective single component polymer for stretchable and flexible microelectromechanical systems applications
Dynamic electromechanical characterizations of poly (vinylidene fluoride) based nanocomposite films on ultra‐low modulus polymer substrate
Fabrication and characterizations of a low-cost thermal actuator for micro-electro-mechanical systems (MEMS) applications
PIEZOELECTRIC TESTING OF COMMERCIAL PVDF THIN FILM SENSOR

Dr. Rituraj Patwal | Renewable Energy Award | Best Researcher Award

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Dr. Rituraj Patwal | Renewable Energy Award | Best Researcher Award

Dr. Rituraj Patwal, Women Institute of Technology, India

Dr. Rituraj Singh Patwal, born on December 13, 1990, in Haldwani, Uttarakhand, India, is a specialist in Power System Optimization and Renewable Energy Systems. He holds a Ph.D. in Power System Optimization from Thapar Institute of Engineering and Technology, Patiala, where his thesis focused on “Optimal Generation Scheduling of Pumped Storage Hydrothermal Systems with Solar and Wind Energy Sources.” He also completed his M.Tech. in Power Systems from Thapar University and earned his B.Tech. in Electrical Engineering from Dehradun Institute of Technology. Dr. Patwal’s research interests include sustainable energy systems, optimization algorithms, generation scheduling, and renewable energy sources. He has over 9 months of experience as an Assistant Professor at GRD-IMT Dehradun, and has held similar roles at institutions like Meerut Institute of Technology and Thapar Institute of Engineering and Technology. His teaching portfolio includes subjects such as Basic Electrical Engineering, Network Analysis and Synthesis, and Industrial Internet of Things.

Professional Profile:

Summary of Suitability for Best Researcher Award

Dr. Rituraj Singh Patwal is highly suitable for the “Best Researcher Award” in his field based on his robust academic and research credentials. His work in Power System Optimization and Renewable Energy Systems highlights his expertise in areas critical to the energy sector, such as sustainable energy systems, optimization algorithms, generation scheduling, and the integration of renewable energy sources like solar and wind.

Education:

  1. Ph.D. in Power System Optimization
    • Institution: Thapar University
    • Year: 2021
    • Thesis Title: “Optimal Generation Scheduling of Pumped Storage Hydrothermal System with Solar and Wind Energy Sources”
    • Percentage (Course Work): 83%
  2. M.Tech. in Power System
    • Institution: Thapar University
    • Year: 2016
    • Percentage: 76%
  3. B.Tech. in Electrical Engineering
    • Institution: Dehradun Institute of Technology
    • Year: 2012
    • Percentage: 72%
  4. Intermediate (Science)
    • Board: CBSE
    • Year: 2008
    • Percentage: 83%
  5. High School (Science)
    • Board: CBSE
    • Year: 2006
    • Percentage: 86.2%

Work Experience:

  1. Assistant Professor
    • Institution: GRD-IMT, Dehradun
    • Duration: August 2024 – Present (9 months)
  2. Assistant Professor
    • Institution: Meerut Institute of Technology
    • Duration: November 2022 – July 2023 (8 months)
  3. Assistant Professor
    • Institution: Meerut Institute of Engineering and Technology
    • Duration: March 2021 – October 2022 (1 year 8 months)
  4. Lecturer (NT)
    • Institution: Thapar Institute of Engineering and Technology, Patiala
    • Duration: January 2018 – December 2020 (3 years)
  5. Shift Engineer
    • Company: Birla Tyres
    • Duration: July 2012 – April 2013 (10 months)

Publication top Notes:

 

Optimal generation scheduling of pumped storage hydro-thermal system with wind energy sources

Multi-objective generation scheduling of integrated energy system using fuzzy based surrogate worth trade-off approach

Crisscross PSO algorithm for multi-objective generation scheduling of pumped storage hydrothermal system incorporating solar units

Optimal Economic Emission Scheduling of Integrated Energy Systems Using Heuristic Optimization Technique

A novel TVAC-PSO based mutation strategies algorithm for generation scheduling of pumped storage hydrothermal system incorporating solar units

Heuristic optimization technique for hydrothermal scheduling considering pumped storage unit