Mohammad Waseem | Engineering | Best Researcher Award

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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.

 

 

 

 

 

 

Vasileios Laitsos | Engineering | Best Review Article Award

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Mr. Vasileios Laitsos | Engineering | Best Review Article Award

Mr. Vasileios Laitsos, University of Thessaly, Greece

Mr. Vasileios Laitsos is an accomplished researcher and electrical engineer from Greece, currently pursuing a PhD at the University of Thessaly, Department of Electrical and Computer Engineering, Volos. His research focuses on developing innovative forecasting models for electricity demand and wholesale electricity prices using artificial intelligence, particularly leveraging Python and the TensorFlow platform.

Education:

PhD in Electrical and Computer Engineering (July 2020 – Present)
University of Thessaly, Volos
Research Focus: AI-driven forecasting models for electricity demand and pricing.

Master’s in Smart Grid Energy Systems (October 2019 – February 2021)
University of Thessaly, Volos
Graduated as Valedictorian with a GPA of 9.63/10.
Thesis: “The Modern Power System from a Different Approach: Impact of Demand Side Management Methods.”

Diploma in Electrical and Computer Engineering (October 2011 – June 2017)
Aristotle University of Thessaloniki, Thessaloniki
GPA: 7.43/10.
Thesis: “Wind Power Forecasting using Support Vector Machines and Artificial Neural Networks.”

Professional Profiles:

ORCID Profile

Professional Experience:

Mr. Laitsos has a diverse professional background, with extensive experience in both research and industry. He currently serves as a Research Associate at HEDNO S.A. in Volos, where he contributes to European Union scientific programs such as ENFLATE and CENTAVROS, which focus on optimizing energy distribution systems. Concurrently, he is a Machine Learning Researcher for the ELVIS Research Project, working on developing a prototype integrated tool for managing the smart charging of electric vehicles by an EV Aggregator.

Previously, Mr. Laitsos served as a Technical Manager at Hellenic Dairies S.A., overseeing the electrical and electronic maintenance of the packaging department, leading a team of seven technicians, and managing two major projects. His earlier roles include Electrical Maintenance Engineer at Hellenic Halyvourgia S.A., where he gained hands-on experience with electrical circuits, AC/DC motors, and PLC systems, and an Electrical Engineer Internship at VIS S.A., where he familiarized himself with industrial electrical panels and machinery.

Skills and Achievements:

Mr. Laitsos possesses a comprehensive skill set, including expertise in machine learning, Python programming, TensorFlow, electrical circuit design, PLC systems, and energy system optimization. His leadership skills, team management experience, and ability to bridge the gap between theoretical research and practical implementation have been instrumental in his career. He is fluent in English and Greek and holds a valid driving license.

Publications:

1. The State of the Art Electricity Load and Price Forecasting for the Modern Wholesale Electricity Market

Journal: Energies

Publication Date: November 2024

DOI: 10.3390/en17225797

Contributors: Vasileios Laitsos, Georgios Vontzos, Paschalis Paraschoudis, Eleftherios Tsampasis, Dimitrios Bargiotas, Lefteri Tsoukalas

Source: Multidisciplinary Digital Publishing Institute

2. Enhanced Sequence-to-Sequence Deep Transfer Learning for Day-Ahead Electricity Load Forecasting

Journal: Electronics

Publication Date: May 2024

DOI: 10.3390/electronics13101996

Contributors: Vasileios Laitsos, Georgios Vontzos, Apostolos Tsiovoulos, Dimitrios Bargiotas, Lefteri Tsoukalas

Source: Multidisciplinary Digital Publishing Institute

3. Estimating Spatio-Temporal Building Power Consumption Based on Graph Convolution Network Method

Journal: Dynamics

Publication Date: May 2024

DOI: 10.3390/dynamics4020020

Contributors: Georgios Vontzos, Vasileios Laitsos, Avraam Charakopoulos, Dimitrios Bargiotas, Theodoros Karakasidis

Source: Multidisciplinary Digital Publishing Institute

4. State-of-the-Art of Electricity Load and Price Forecasting for the Modern Wholesale Electricity Market

Type: Working Paper

DOI: 10.20944/preprints202411.0165.v1

Source: Multidisciplinary Digital Publishing Institute

Conclusion:

Mr. Vasileios Laitsos is a highly promising researcher with significant contributions to the field of electricity load and price forecasting. His review article in Energies demonstrates a deep understanding of the subject and provides valuable insights for advancing the state of the art in energy forecasting. With minor improvements in scope and quantitative analysis, Mr. Laitsos’s work has the potential to be a benchmark for future research in the field. Given his multidisciplinary expertise, collaborative spirit, and impactful research, he is a strong candidate for the Best Review Article Award. Recognizing his work would not only honor his individual achievements but also encourage further advancements in energy forecasting and smart grid technologies.

 

 

 

 

 

Fadia Ahmed A. Naji | Engineering | Best Researcher Award

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Ms. Fadia Ahmed A. Naji | Engineering | Best Researcher Award

Ms. Fadia Ahmed A. Naji, Delhi Technological University, India

Ms. Fadia Ahmed A. Naji is a dedicated scholar and professional with a strong foundation in Industrial and Mechanical Engineering. Her academic qualifications, professional experiences, research accomplishments, and skills exemplify her commitment to academic excellence and industrial applications. Ms. Naji is recognized for her analytical and organizational skills, problem-solving abilities, and excellent interpersonal communication. Her ability to manage work efficiently under pressure and collaborate effectively with academic and industrial teams highlights her versatility and dedication.

Education:

Ms. Naji has a solid educational background, starting with a B.Sc. in Industrial Engineering from Taiz University, Yemen, in 2012, followed by an M.Sc. in Industrial Engineering from the same institution in 2021. She is currently pursuing a Ph.D. in Mechanical Engineering at Delhi Technological University, India, with a research focus on advanced materials and sustainable manufacturing. This progression demonstrates her dedication to enhancing her expertise and contributing to cutting-edge research.

Professional Profiles:

ORCID Profile

Professional Experience:

Ms. Naji’s professional journey includes roles such as Head of the Planning and Purchasing Departments at Alahlia Mineral Water Co. in Yemen (2012–2019), where she honed her skills in industrial management and strategic operations. Additionally, she has served as a Teaching Assistant at Iqra College, sharing her knowledge and inspiring future engineers. Her experience bridges academia and industry, reflecting her practical and theoretical understanding of engineering principles.

Skills:

Ms. Naji possesses an impressive skill set that includes analytical reasoning, project management, and proficiency in computer science. Her ability to blend logic with creative problem-solving makes her a standout researcher. Additionally, her excellent communication, teamwork, and organizational abilities ensure she thrives in collaborative environments, making her research impactful and widely disseminated.

Research Interests:

Ms. Naji has made notable contributions to scientific literature, particularly in the fields of quality control, nano-finishing of titanium alloys, and sustainable manufacturing processes. Her publications, such as “Designing an Integrated Model of Quality Control and Maintenance Planning” and “Sustainable Chemo-Mechanical Magneto-Rheological Finishing of Ti64 Alloy,” showcase her innovative approaches to solving contemporary engineering challenges. Her research on environmentally friendly methods for biomedical implant surface modifications underlines her focus on sustainability and social impact.

Publications:

Designing an integrated model of quality control and maintenance planning for the multi-component system using the CUSUM chart

Challenges and opportunities in nano finishing of titanium alloys for biomedical applications: A review

Future Perspectives and Research Trends in Chemo-mechanical Magneto-rheological Finishing for Enhanced Surface Quality

A Novel Thermochemical Process for Ti46 Alloy Surface Modification by Environmentally Friendly for Biomedical Implant Applications

Sustainable Chemo-Mechanical Magneto-Rheological Finishing of Ti64 Alloy: Enhancing Surface Finish through pH Regulation and Process Parameter Optimization

 

Conclusion:

Ms. Fadia Ahmed A. Naji is a strong candidate for the Best Researcher Award. Her academic achievements, professional expertise, and significant research contributions in industrial engineering and sustainable manufacturing distinguish her as a researcher with substantial potential. Strengthening her global outreach and expanding interdisciplinary collaborations can further elevate her profile.

This combination of academic rigor, practical experience, and impactful research positions her as a deserving nominee for this award.