Dr. Akriti Gupta | Artificial Intelligence | Women Researcher Award
Assistant Professor | IIBS | India
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Assistant Professor | IIBS | India
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Hamna Baig π is a passionate and award-winning Electrical Engineering graduate from COMSATS University Islamabad, Attock Campus. A gold medalist π₯ with a CGPA of 3.66, she blends academic brilliance with innovative research in AI, IoT, and robotics π€. Hamnaβs dynamic work spans smart environments, RF sensing, and machine learning applications π‘. She has published multiple research papers π, led various technical projects, and participated in prestigious conferences ποΈ. Her leadership roles and technical writing expertise further reflect her versatility π§ . Hamna aims to revolutionize engineering solutions through creativity, technology, and social impact π.
Hamna Baig exemplifies the essence of a young and emerging researcher through her exceptional academic performance, innovative contributions to AI-driven engineering, and a prolific portfolio of research publications. A gold medalist in Electrical Engineering from COMSATS University Islamabad, she has demonstrated consistent excellence in both theoretical knowledge and practical application. With multiple high-impact publications, advanced project implementations, and recognized conference presentations, she brings outstanding promise to the future of intelligent systems and healthcare engineering. Her dedication to interdisciplinary innovation, backed by hands-on experience and leadership roles, showcases her as a rising star in engineering research.
π Education:
π B.Sc. Electrical Engineering, COMSATS University Islamabad, Attock Campus (2020β2024) β CGPA: 3.66/4.00, Gold Medalist π
π Final Year Project: AI-based Environmental Control Model for Smart Homes π π€
π§βπΌ Experience:
π§ͺ Internee, Electrical & Computer Engineering Dept., COMSATS, under PEC GIT Program (2024βPresent)
β‘ Internee, Ghazi-Barotha Hydro Power Plant (GBHPP), WAPDA (2023)
ποΈ Technical Writer (Electrical/Electronics), CDR Professionals (2023βPresent)
Hamna Baig has actively pursued professional growth through certifications, leadership, and community engagement π±. She completed the prestigious “Machine Learning Specialization” by DeepLearning.AI π€, “Generative AI for Everyone” π§ , and several tech courses from Stanford, Yonsei, and the University of Michigan via Coursera π. As a proactive learner, she enhances her skills in AI, IoT, wireless communication, and public speaking π€. Hamna has held key roles such as President of the Sports Society πΈ, Co-Campus Director of AICP π§βπ¬, and VP of COMSATS Science Society. Her drive to uplift communities and advance technology sets her apart π.
Hamnaβs research centers on the integration of Artificial Intelligence and Machine Learning into real-world electrical and biomedical systems π€π§ . She explores SDR-based gait monitoring for Parkinson’s patients π§, AI-controlled environmental systems for energy-efficient smart homes π‘οΈ, and intelligent robotic applications in agriculture π€π. Her work emphasizes non-invasive health monitoring using RF sensing ποΈ and AI-powered automation solutions. She is deeply invested in translating complex algorithms into practical, user-centric applications that elevate health, comfort, and productivity β‘. Her interdisciplinary approach bridges electrical engineering with innovative computing solutions ππ.
π Awards & Certificates:
π₯ Gold Medalist, COMSATS University Islamabad (2024)
π§Ύ Certificate of Gratitude, ICTIS Conference, UET Peshawar (2024)
π Certificate of Gratitude, ICCSI Conference, University of Haripur (2024)
π§ ML Specialization Certificate, DeepLearning.AI β Stanford (2023)
𧬠Generative AI for Everyone β DeepLearning.AI (2025)
π§ββοΈ Public Speaking Specialization β University of Michigan (2024)
πΆ Wireless Communications Course β Yonsei University (2024)
π Prime Ministerβs Youth Laptop Scheme Awardee (2023)
π₯ Winner β IoT Pick and Place Robotic Competition, COMSATS (2024)
π§ Student of the Year β COMSATS University, Attock (2023)
β’ Title: Intelligent Frozen Gait Monitoring using Software Defined Radio Frequency Sensing
Citation: Electronics, 14(8), 1603, 2025
Authors: Khan, M. B., Baig, H., Hayat, R., Tanoli, S. A. K., Rehman, M., Thakor, V. A., & Haider, D.
Year: 2025
β’ Title: Machine Learning-Based Estimation of End Effector Position in Three-Dimension Robotic Workspace
Citation: IJIST Journal (Impact Factor: 4.312)
Authors: Baig, H., Ahmed, E., Jadoon, I., & Pakistan, K. C. A.
Year: 2024
β’ Title: A Robotic Approach for Fruit Harvesting with Machine Learning-Based Joint Angles Prediction
Citation: Submitted to ICCSI β International Conference on Computational Sciences and Innovations
Authors: Baig, H., Baig, A.A, Ahmed, E., Jadoon, I., & Pakistan
Year: 2024
β’ Title: Artificial Intelligence Based Adaptive Fan Control in Office Settings for Energy Efficiency
Citation: Submitted to ICCIS β Proceedings to Springer Journal
Authors: Baig, H.
Year: 2024
β’ Title: A Robotic Arm Based Intelligent Biopsy System
Citation: Submitted to ICCIS β Kohat University, Springer Proceedings
Authors: Baig, H.
Year: 2024
β’ Title: Design of an Intelligent Wireless Channel State Information Sensing System to Prevent Bedsores
Citation: IEEE Sensors Journal (Under Review)
Authors: Baig, H.
Year: 2024
β’ Title: Enhancing Home Comfort and Energy Consumption with an Artificial Intelligence-Based Environmental Sensing Control Model
Citation: PeerJ (Computer Science) (Under Review)
Authors: Baig, H.
Year: 2024
β’ Title: Breathing Techniques Redefined: The Pros and Cons of Traditional Methods and the Promise of SDRF Sensing
Citation: Elsevier β Digital Communications and Networks (Under Review)
Authors: Baig, H.
Year: 2024
Hamna Baig not only meets but exceeds the expectations of a Young Researcher Award recipient. Her innovative mindset, research productivity, and real-world problem-solving approach make her an ideal candidate. Her work is not just academically sound but socially impactfulβespecially in the domains of healthcare and automation. She is a beacon of excellence and innovation, representing the future of engineering research. π
π Dr. Mani Shekhar Gupta is an Assistant Professor at Adani University, Ahmedabad, with a Ph.D. in Electronics and Communication Engineering from NIT Hamirpur. π His research spans cognitive radio networks, vehicular networks, resource allocation, AI, and next-gen wireless technologies. π‘ With over 11 years of academic and research experience, he has contributed significantly through projects at IIT Delhi and NIT Hamirpur. π¨βπ« A passionate educator and innovator, Dr. Gupta excels in machine learning, green networks, and intelligent transportation systems. π‘ His dynamic approach blends technical expertise with a love for teaching and discovery. π
Dr. Mani Shekhar Gupta is highly suitable for the Excellence in Research Award due to his extensive academic background, impactful research contributions, and innovative approaches in the fields of cognitive radio networks, vehicular networks, resource allocation, artificial intelligence, and next-generation wireless technologies. His career, spanning over 11 years, reflects a deep commitment to advancing technological frontiers and fostering academic excellence.
π Dr. Gupta actively engages in continuous professional growth through memberships in global organizations like IEEE π‘, EAI πͺπΊ, IACSIT πΈπ¬, IAENG ππ°, and IAAM π. His participation spans technical communities focusing on e-Government, IoT π, Smart Cities ποΈ, and Autonomous Driving π. Heβs also a member of humanitarian groups like IEEE SIGHT π€. Through conferences, workshops, and collaborative projects, Dr. Gupta refines his expertise in wireless networks, machine learning π€, and green technologies π±, ensuring he stays at the forefront of innovation and academic excellence. π
π Dr. Guptaβs research focuses on cognitive radio networks π‘, vehicular networks π, and resource allocation strategies for next-generation wireless systems πΆ. His work integrates AI π€ and machine learning to enhance spectrum management, optimize network efficiency, and support intelligent transportation systems π¦. He explores green network technologies π±, aiming to reduce environmental impact while improving connectivity. His contributions to 5G and beyond involve proactive spectrum sharing, game theory applications π―, and cooperative uplink-downlink strategies, making his research pivotal for smart cities ποΈ and sustainable communication infrastructures. π
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