Dr. Mohammad Khan
AI and Renewable Energy Specialist, Associate Professor
location_on India
About Mohammad
Dr. Mohammad Junaid Khan is an award-winning educator and researcher with over 14 years of experience in AI and optimization techniques for renewable energy. Recognized among the world's top 2% scientists by Stanford University, he specializes in electric vehicle charging and renewable energy systems. With a strong publication record, he is passionate about fostering engaging learning environments and supporting student success through mentorship and education.
Services Offered
Data & AI
Harness the power of data and artificial intelligence to solve complex problems and enhance decision-making. Our data-driven solutions include predictive analytics, machine learning, and AI development to help you unlock new opportunities, optimize operations, and gain a competitive edge.
Feasibility Study
Comprehensive assessment of the practicality, risks, and potential outcomes of a proposed project, idea, or product.
Algorithm Design – ML (Machine Learning)
Development of intelligent algorithms that learn from data, including classification, regression, recommendation systems, and more.
Research
Gain insights and make informed decisions with our expert research services. We offer in-depth market research, data analysis, and academic studies to support your strategic goals. Whether you're exploring trends, evaluating competitors, or understanding customer needs, we provide the knowledge you need to move forward.
Data & AI
Support with contracts, intellectual property, risk assessment, and legal strategy—non-litigation advisory services.
Expertise
Professional Summary
The professional has an extensive career in academia, primarily in electronic and communication engineering, holding notable positions such as Assistant Professor at SR University, Warangal, and MECW in Nuh, Haryana. Their tenure includes significant research and teaching contributions at NITTTR Chandigarh, alongside numerous administrative roles at MECW, demonstrating prowess in leading committees related to accreditation, affiliation, and institutional process improvements. Their current responsibilities as Assistant Dean Mentoring and Assistant Professor at SR University, combined with over a decade of academic leadership, illustrate a profound commitment to advancing engineering education.
Work History
Assistant Prof. (L12)
SR Univ. Warangal
2025 - Present
- Teaching responsibilities in higher education, engaging students in advanced electronic and communication engineering topics at a well-ranked university, SR University.
Assistant Dean Mentoring
SR University, Warangal
2025 - Present
Coordinator of the AICTE Approval Process
MECW, Nuh, Haryana
2022 - 2024
Coordinator of Affiliation Process of Gurugram University Gurugram
MECW, Nuh, Haryana
2022 - 2024
Coordinator of NBA at MECW, Nuh
MECW, Nuh, Haryana
2022 - 2024
Project Coordinator of the EEE - Departmental
MECW, Nuh, Haryana
2022 - 2024
Coordinator of the All-India Survey on Higher Education (AISHE) Process
MECW, Nuh, Haryana
2022 - 2024
Member of Student Welfare Committees (SWC)
MECW, Nuh, Haryana
2022 - 2024
Member of B.Pharma and D.Pharma Committee
MECW, Nuh, Haryana
2022 - 2024
- Member of the committee for newly established B. Pharma/ D.Pharma Institute at MECW, Nuh, Haryana.
Coordinator of Affiliation Process of HSBTE Panchkula
MECW, Nuh, Haryana
2022 - 2024
Dy. Chair of Academic Committee and NBA (Affiliation, AICTE etc.)
MECW, Nuh, Haryana
2022 - 2024
Member of Infra & Maintenance
MECW, Nuh, Haryana
2022 - 2024
Coordinator of the Departmental Academic Committee (DAC)
MECW, Nuh, Haryana
2022 - 2024
Vice president of IIC Council
MECW, Nuh, Haryana
2022 - 2024
Assistant Prof.
MECW Nuh, Haryana
2019 - 2025
- Taught and guided students in electronic communications at MECW, contributing to academic growth over six years.
Dy. Chair of Library Committee
MECW Nuh, Hr.
2021 - 2022
Departmental Academic Coordinator
MECW Nuh, Hr.
2021 - 2022
Coordinator of Affiliation Committee
MECW Nuh, Hr.
2019 - 2021
Coordinator of AICTE Committee
MECW Nuh, Hr.
2019 - 2021
Hostel Warden
MECW Nuh, H
2019 - 2021
Dy. Chair of Academic Committee
MECW Nuh, H
2019 - 2021
Accreditation Coordinator
MECW Nuh, Hr.
2019 - 2021
Dy. Chair of Sports Committee
MECW Nuh, H
2019 - 2021
Coordinator of AISHE Committee
MECW Nuh, Hr.
2019 - 2021
Teaching cum research assistantship
NITTTR Chandigarh
2014 - 2019
- Involved in both teaching and research, contributing to academic publications and supporting research initiatives in engineering.
Assistant Prof.
SRMIET Ambala, Hr.
2013 - 2014
- Provided academic instruction and supported research activities as Assistant Professor over a one-year period.
Class in charge of M. Tech. (2nd Year)
SRMIET, Ambala
2013 - 2014
Chairman of Library Committee
SIET, Bilaspur, H.P.
2013 - 2014
Class in charge of M.TECH. (1st Year)
SRMIET, Ambala
2013 - 2014
Chairman of timetable committee
SIET, Bilaspur, H.P.
2012 - 2013
Class Co-Ordinator of B.TECH. (ECE Final Year)
SIET, Bilaspur, H.P.
2012 - 2013
Chairman of Library Committee
SIET, Bilaspur, H.P.
2012 - 2013
Member of Discipline committee
SIET, Bilaspur, H.P.
2012 - 2013
Assistant Prof.
SIET Bilaspur HP
2011 - 2013
- Performed teaching duties and developed curriculum for students in engineering disciplines over two years.
Member of Committee on Unfair means
SIET, Bilaspur, H.P.
2011 - 2012
Member of Transport committee
SIET, Bilaspur, H.P.
2011 - 2012
Class Co-Ordinator of B.TECH. (ECE 3rd year)
SIET, Bilaspur, H.P.
2011 - 2012
Education Summary
The individual is currently undertaking a Post Doctoral Fellowship at the Centre for Research Excellence Incubation Management (CREIM) at Universiti Sultan Zainal Abidin in Malaysia, indicating a continued commitment to advanced research and knowledge contribution. They have completed a Ph.D. in Engineering and Technology from the National Institute of Technical Teachers Training & Research, affiliated with Panjab University, where they developed an AI-based real-time maximum power point tracking controller for hybrid renewable energy systems. Their academic journey includes a Master of Engineering in Electronics Product Design and Technology from PEC University of Technology and a Bachelor of Engineering in Electronics and Communication Engineering from Ujjain Engineering College. Further strengthening their technical expertise, they have completed postgraduate specializations in areas such as Energy Management, Digital Signal Processing, Microcontroller-based Embedded Systems, and Instrumentation for Environmental Engineering at NITTTR Chandigarh.
Education History
PG in Energy Management
NITTTR Chandigarh
2025
MEI 7105, Energy Management – Theory and Practical
PG in Digital Signal Processing
NITTTR Chandigarh
2025
MEI-6103, Digital Signal Processing – Theory and Practical
UG
Kurukshetra University
2025
PG in Microcontroller based embedded system
NITTTR Chandigarh
2025
MEI 6201, Microcontroller based embedded system – Theory and Practical
PG in Instrumentation for Environmental Engineering
NITTTR Chandigarh
2025
MEI 6207, Instrumentation for Environmental Engineering – Theory and Practical
PDF (Post Doctoral Fellowship)
Centre for Research Excellence Incubation Management (CREIM), Universiti Sultan Zainal Abidin (UniSZA), Malaysia
2025
Ph.D. (Faculty of Engineering and Technology)
National Institute of Technical Teachers Training & Research, Chandigarh - Affiliated to Panjab University, Chandigarh
2014 - 2019
Title of Ph.D.: “Development of Artificial Intelligence Based Real-Time Maximum Power Point Tracking Controller for a Hybrid Renewable Energy System”
M.E. (Electronics Product Design and Technology)
PEC University of Technology, Sector 12, Chandigarh
2025
B.E. (Electronics and Communication Engineering)
Ujjain Engineering College, Ujjain
2025
Publications Summary
M. J. Khan has made notable contributions to the advancement of renewable energy systems, particularly focusing on maximum power point tracking (MPPT) techniques and hybrid energy management systems. His diverse portfolio includes research articles published in leading journals such as Springer, Elsevier, and IEEE Access, illustrating significant impacts with works indexed in the Web of Science and SCOPUS. Khan's inventive work, including the development of AI-driven controllers and IoT-platform technologies, is evidenced by his publications in high-impact journals and conference proceedings. He has collaborated with esteemed colleagues worldwide, reflecting his prominent role in fostering innovations in modern energy solutions and intelligent systems, as highlighted by his involvement in prominent conferences like IEEE INDICON and contributions to interdisciplinary books.
Published Works
A novel neural network-based maximum power point technique for wind turbine system management under variable conditions
Conference PaperAnalysis of Various Optimization Techniques for Battery Management Systems in Electrical Vehicles
Journal ArticleBlockchain Technology in the Energy Sector: A Brief Technical Review
Conference PaperAE-RLKey: A Synergistic Deep Autoencoder–Reinforcement Learning Model for Secure and Energy-Efficient MANETs
Journal ArticleBlockchain Implementation in Smart Grids
Conference PaperMultifunctional Ruthenium-Based Halide Perovskites NaRuX3 (X = Cl, Br): A First-Principles Exploration Toward Solar Technologies
Journal ArticleComparative Analysis of Various Optimization Techniques for Battery Management Systems in Electrical Vehicles
Journal ArticleSecure Routing in Ad Hoc Networks through Federated GNN Trust Aggregation and Topology-aware Flow Analysis
Journal ArticleQuad-Band SIW Antenna with Micro-Pocket Enabled Frequency-Agile Design for 5G/6G IoT Applications
Journal ArticleOptimized Fuzzy-MPPT Approach for Superior Solar Power Management in EV Battery Charging Systems
Journal ArticleFedTrust-Net: A Federated Learning-based Trust-aware Security Framework for Resilient Ad Hoc Wireless Networks
Journal ArticleModified Adaptive Fuzzy Logic Based Real-Time MPPT Controller for Fuel Cell Framework Management Under Dynamic Conditions
Journal ArticlePerformance comparison of interconnection schemes for mitigating partial shading losses in solar photovoltaic arrays
Journal ArticleComprehensive Study of Optimization Techniques for Load Flow Analysis in Power System Networks and Their Application to Demand-Side Management
Journal ArticleDevelopment of Adaptive Fuzzy-Logic Controller for Solar PV Power Management under Partial Shading Conditions
OtherDevelopment of Adaptive Fuzzy-Logic Controller for Solar PV Power Management under Partial Shading Conditions
OtherAn innovative control of the charging and discharging for the battery management operation using a bidirectional converter.
Journal ArticleRecent Advances in Electrical & Electronic Engineering
Journal ArticleANN-based Maximum Power Point Tracking Technique for PV Power Management under variable conditions
Journal ArticleInternet of Things based MPPT Techniques for Photovoltaic Frameworks Management under different environmental conditions: A Review
Journal ArticleReview of Recent Trends of Advancements in Multilevel Inverter Topologies with Reduced Power Switches and Control Techniques
Review PaperAI-based Framework for Solar Photovoltaic Power Management Optimization Under Dynamic Condition of Irradiation
Book ChapterAn Intelligent System for Furfural Estimation in the Power Transformers
Conference PaperOptimal Design of Fractional Order Vector Controller Using Hardware-in-Loop (HIL) and Opal RT for Wind Energy System
Journal ArticleComparative analysis of various global maximum power point tracking techniques for fuel cell frameworks
Journal ArticleA Critical Review of Hybrid Electric Vehicles
Journal ArticleReal-Time Simulation of SVC on Multi-Machine 9-Bus System
Conference PaperFuzzy-Logic Based Comparative Analysis of different Maximum Power Point Tracking Controllers for Hybrid Renewal Energy Systems
Journal ArticleAdaptive fusion based clustering approach in cognitive radio networks
Journal ArticleA Novel Artificial Intelligence Maximum Power Point Tracking Technique for Integrated PV-WT-FC Frameworks
Journal ArticleBasic Elements of Electrical and Electronics Engineering
BookMaximum Power Point Tracking Techniques for PV Framework under Partial Shaded Conditions: Towards Green Energy for Smart Cities
Book ChapterA Novel Hybrid Maximum Power Point Tracking Controller based on Artificial Intelligence for Solar Photovoltaic System under Variable Environmental Conditions
Journal ArticleAn AIAPO MPPT Controller based Real Time Adaptive Maximum Power Point Tracking Technique for Wind Turbine System
Journal ArticleArtificial neural network-based maximum power point tracking controller for real-time hybrid renewable energy system
Journal ArticleNovel Applications of Soft Computing Techniques for Comparative Analysis of Maximum Power Point Tracking in Solar Photo-Voltaic System Under Perturb Conditions
Book ChapterReview of recent trends in Optimization techniques for Hybrid Renewable Energy System
Journal ArticleComparative Study of Maximum Power Point Tracking Techniques for Hybrid Renewable Energy System
Journal ArticleFuzzy Logic Controller Based MPPT for Hybrid Photo-Voltaic/Wind/Fuel Cell Power System
Journal ArticleArtificial Intelligence Based Maximum Power Point Tracking Controller for Fuel Cell System
Journal ArticleElectric Discharge Machining Method for Various Metal Matrix Composite Materials
Journal ArticleReal-Time Monitoring of Electrical Assets for Predictive Maintenance With IoT platform Base Intelligent Technology
PatentComparative Study of Optimization Techniques for Renewable Energy System
Journal ArticleComparative analysis of Maximum power point tracking controller for wind energy system
Journal ArticleArtificial Intelligence Based Maximum Power Point Tracking Algorithm for Photo-Voltaic System Under Variable Environmental Conditions
Conference PaperAnalysis of Different combinations of PV-Wind-Diesel-Battery Hybrid System for Telecommunication applications in different cities of Punjab, India
Journal ArticleTechno Economic Feasibility Analysis of Different combinations of PV-Wind-Diesel-Battery Hybrid System for Telecommunication applications in different
Journal ArticleDifferent Kinds of Maximum Power Point Tracking control Method for Photovoltaic Systems: A Review
Journal ArticleTechno Economic Analysis of PV-Wind-Grid Connected Systems for Power Generation in India
Conference PaperLTE-Advanced Random Access Mechanism for M2M Communications: A Review
Conference PaperDifferent Types of Maximum Power Point Tracking Techniques for Renewable Energy Systems: A Review
Conference PaperDifferent Types of Maximum Power Point Tracking Techniques for Renewable Energy Systems: A Review
Conference PaperLTE-Advanced Random Access Mechanism for M2M Communications: A Review
Conference PaperTechno Economic Analysis of PV-Wind-Grid Connected Systems for Power Generation in India
Conference PaperA Survey of various Maximum Power Point Tracking Techniques used in solar photovoltaic system
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Certifications Summary
The individual holds advanced certifications in "Big Data Analytics for Smart Grid" and "Real Time Power System Analysis and Smart Grid," awarded by MOOCs/SWAYAM ARPIT and SWAYAM. They achieved a commendable grade of 'A' in Big Data Analytics and a solid grade of 'B' in the Real Time Power System Analysis certifications, demonstrating a profound expertise in smart grid technology and power system analysis. These non-expiring certifications underscore a sustained commitment to the evolving field of smart grid technology and analytics.
Certifications
Big Data Analytics for Smart Grid
MOOCs/SWAYAM ARPIT
Real Time Power System Analysis and Smart Grid
SWAYAM
Big Data Analytics for Smart Grid
SWAYAM
Real Time Power System Analysis and Smart Grid
MOOCs/SWAYAM ARPIT
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Profile Details
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Member since
2026
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Location
India
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Languages
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Availability
Available
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Hourly rate
$100
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