Mr. Pranjal Khakse | Engineering | Best Researcher Award

Published on by Environmental Scientists

Mr. Pranjal Khakse | Engineering | Best Researcher Award

Student / Research Assistant, University of Michigan. United States

Mr. Pranjal Khakse, an Engineering student and Research Assistant at the University of Michigan, United States, has been honored with the prestigious Best Researcher Award 🏆. His dedication to advancing engineering research has set him apart, showcasing his exceptional skills and innovative mindset. Pranjal’s contributions to the academic community have been invaluable, and this accolade reflects his commitment to excellence and his passion for pushing the boundaries of knowledge 🌟. Congratulations to Mr. Khakse for this remarkable achievement! 🎉

PROFILE

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EDUCATION

Mr. Pranjal Khakse is currently pursuing a Master of Science in Mechanical Engineering with a concentration in Manufacturing & Automation at the University of Michigan, Ann Arbor 🌟. He has maintained an impressive GPA of 4.0/4.0 📚. His coursework includes Robotics & Product Design, Smart Manufacturing Systems, Smart Additive Manufacturing Systems, and Nanofabrication & Nanomanufacturing Technologies 🤖. Previously, he earned his Bachelor of Technology in Mechanical Engineering from the National Institute of Technology Tiruchirappalli in Tamil Nadu, India, with a GPA of 3.87/4.0 🎓. His studies there covered Engineering Mechanics, Additive Manufacturing, Mechanics of Machines, and Design of Machine Elements 🛠️.

WORK EXPERIENCE

Mr. Pranjal Khakse is currently a CTO Trainee at Utilidata through the U-M Perot Jain TechLab Electrification Cohort (Jan 2024 – Present) ⚡. He is developing an AI model with Nvidia for grid optimization using the Jetson Orion Performance chip series 🤖. Pranjal analyzes data from Ford Mach E and Tesla to train a universal EV charging algorithm and builds real-time visualization models for the AI platform Karman using Infogram, Looker, and DATABOX 📊. Previously, as a Research Assistant at the Additive Manufacturing Research Laboratory, University of Regina (June 2022 – August 2022) 🧪, he engineered a 3D printing system for liquid metal-based microwire and designed a Co-extruder nozzle using SolidWorks, funded by Mitacs Globalink and NSERC Canada 🏅.

RESEARCH

Mr. Pranjal Khakse is actively involved in multiple innovative projects at the University of Michigan Ann Arbor. In the Multidisciplinary Design Program, he is designing an Axial Flux Hubless Generator, engineering modular components, and developing a SolidWorks housing for over 200 electronic parts ⚙️. In the Precision Systems Design Laboratory, he is working on an upper limb prosthetic design, creating efficient prosthetic fingers and a testing bench for force validation 💪. As the project lead for a lightweight robotic gripper, he achieved industry-grade performance and won the Rackham Graduate Student Research Grant 🏆. At NIT Tiruchirappalli, he developed a cable-driven robotic system for windmill blade maintenance, earning the Best Paper Award at ICRoM’22 🌬️.

LEADERSHIP EXPERIENCE

Mr. Pranjal Khakse served as the Innovation and Development Head, Mentor, and Product Designer for the Designers’ Consortium, the Official Innovation & Product Design Society at NITT, from June 2020 to May 2023 🚀. He led the club’s external affairs and oversaw its annual development by providing technical support for ongoing projects 🔧. Additionally, Pranjal coordinated a SIMTEK-affiliated Certified SolidWorks training program for over 500 freshman undergraduates, enhancing their skills in product design and development 📐. His leadership and dedication significantly contributed to the growth and success of the society 🌟.

SKILLS & ACHIEVEMENTS 

Mr. Pranjal Khakse possesses an impressive array of technical skills, including proficiency in SolidWorks, AutoCAD, Fusion 360, ABAQUS, COMSOL (Heat Transfer), nTopology, Microsoft Office, MATLAB, Simulink, Ansys, Python, machining (Lathe & CNC), 3D printing (FDM & SLS), carpentry, and laser cutting 🛠️. He holds certifications in SolidWorks (CSWP – MD, CSWP – S, CSWP – ADT), Generative Design – Autodesk, MATLAB, and Simulink 📜. These skills and certifications showcase his comprehensive expertise in engineering design and manufacturing, making him a versatile and highly capable professional in his field 🌟.

PUBLICATIONS TOP NOTES

Deciphering social media’s role in tourism during crises: a scientific examination

Interorganizational Networks For Competitiveness in Tourism

What does 40 years of regional and business competitiveness in tourism research reveal?

ANÁLISE DO AMBIENTE INSTITUCIONAL E ORGANIZACIONAL DA PISCICULTURA NO ESTADO DO MATO GROSSO DO SUL

Prof. MUHAMMAD FAIZAN TAHIR | Engineering | Best Researcher Award

Published on by Environmental Scientists

Prof. MUHAMMAD FAIZAN TAHIR | Engineering | Best Researcher Award

Post-Doctoral Associate, New York University, United Arab Emirates

Prof. Muhammad Faizan Tahir, an esteemed Post-Doctoral Associate at New York University, United Arab Emirates, has been honored with the Best Researcher Award in Engineering. 🏆 His groundbreaking contributions to the field are marked by innovative solutions and rigorous academic inquiry. With a keen focus on advancing knowledge and addressing pressing challenges, Prof. Tahir’s work exemplifies excellence in research. His dedication to pushing the boundaries of engineering science inspires peers and students alike. This accolade serves as a testament to his unwavering commitment to scholarly excellence and his significant impact on the academic community. 🎓

PROFILE

Google Scholar , Scopus

EDUCATION

Prof. Muhammad Faizan Tahir’s academic journey is marked by stellar achievements. He earned his Ph.D. in Electrical Engineering from South China University of Technology, China, showcasing his commitment to scholarly pursuits. 🎓 Prior to this, he completed his MS in Electrical Engineering at The University of Lahore, Pakistan, where he honed his expertise. 📚 His educational foundation was laid at the University of Engineering and Technology, Taxila, Pakistan, where he obtained his BS in Electrical Engineering. 🏫 Prof. Tahir’s diverse educational background equips him with a comprehensive understanding of the field, enabling him to make significant contributions to research and academia.

STRENGTHS

Prof. Muhammad Faizan Tahir possesses a diverse skill set that encompasses both professional and technical domains. As a skilled communicator, he excels in public speaking and cross-cultural communication, fostering effective collaborations. 🗣️ Proficient in team and administration management, he serves as a motivator and leader, driving projects towards success. 💼 On the technical front, his expertise spans various areas including ensemble artificial neural networks and fully informed particle swarm optimization, enhancing problem-solving capabilities. 🧠 Prof. Tahir is adept in utilizing tools and technologies such as EnergyPLAN, HOMER, MATLAB, and MS Office, facilitating efficient project management and analysis. 🛠️

EXPERIENCE

Prof. Muhammad Faizan Tahir’s illustrious career spans prestigious institutions across the globe. As a Post-Doctoral Associate at New York University Abu Dhabi, he pioneers research in sustainable energy technology, focusing on solar PV power forecasting and soiling effects on PV performance. 🌞 Previously, at South China University of Technology, he conducted groundbreaking research on integrated energy systems, showcasing his expertise in exergy analysis and renewable energy integration. 🌐 His journey also includes roles as a Research Scholar and Lecturer at the same institution and as a Lecturer and Lab Engineer at The University of Lahore, Pakistan, where he imparted knowledge in electrical engineering and conducted various labs. 🎓

PROJECTS

Prof. Muhammad Faizan Tahir’s academic and research endeavors epitomize innovation and excellence. Currently serving as a Post-Doctoral Associate at New York University Abu Dhabi, UAE, he delves into solar PV power forecasting using machine learning and evaluates soiling effects on PV panel performance, contributing to sustainable energy solutions. ☀️ His prior role at South China University of Technology involved pioneering energy and exergy analysis of China’s integrated energy system, emphasizing renewable energy sources. 🌐 Prof. Tahir’s Ph.D. and MS theses focused on integrated energy system modeling and optimal load shedding, respectively, showcasing his expertise in renewable energy and AI. 🎓 His undergraduate project on intelligent dam monitoring further underscores his multidisciplinary approach to engineering challenges. 🌟

ACHIEVEMENTS

Prof. Muhammad Faizan Tahir’s accolades and achievements reflect his commitment to excellence and continuous learning. He completed CITI courses and cybersecurity training, enhancing his expertise in research ethics and cybersecurity. 🛡️ His academic prowess earned him the Academic Excellence Award during his Ph.D. studies at SCUT, where he also received the prestigious CSC Scholarship. 🎓 Prof. Tahir’s outstanding academic performance was evident as he secured the 1st rank in MSEE with a remarkable CGPA. 🏅 Additionally, he demonstrated linguistic proficiency by passing the HSK-4 exam and shared his knowledge by delivering lectures on research methodology at SCUT. 📚 These accomplishments underscore his dedication to scholarly pursuits and knowledge dissemination. 🌟

PUBLICATIONS Top Notes

Title: Short term electricity load forecasting using hybrid prophet-LSTM model optimized by BPNN
Year: 2022
Citations: 122

Title: Integrated energy system modeling of China for 2020 by incorporating demand response, heat pump and thermal storage
Year: 2019
Citations: 91

Title: A Novel Algorithm for MPPT of an Isolated PV System Using Push Pull Converter with Fuzzy Logic Controller
Year: 2020
Citations: 68

Title: Optimizing size of variable renewable energy sources by incorporating energy storage and demand response
Year: 2019
Citations: 64

Title: A comprehensive review of 4E analysis of thermal power plants, intermittent renewable energy and integrated energy systems
Year: 2021
Citations: 59