Somia Abbas | Renewable Energy | Research Excellence Award

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Somia Abbas | Renewable Energy | Research Excellence Award

Dr. Somia Abbas at National Research Centre (NRC) | Egypt

Yi Yang, affiliated with Beijing Tiantan Hospital, Capital Medical University, Beijing, China, is a leading clinician-scientist specializing in neurorestoration, disorders of consciousness (DoC), and neuromodulation therapies. His research emphasizes understanding neural mechanisms underlying consciousness, motor function recovery, and brain network plasticity following brainstem injury, stroke, and other neurological disorders. Yi Yang integrates advanced neuroimaging, electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), and brain-computer interface (BCI) technologies to quantify motor intention, assess consciousness levels, and develop targeted rehabilitation strategies for patients with cognitive and motor impairments. He has made significant contributions to clinical translation of neuromodulation approaches, including epidural spinal cord stimulation and repetitive transcranial magnetic stimulation, demonstrating improvements in motor recovery and hemodynamic responses. His work also includes clinical diagnostic and therapeutic guidelines for ischemic stroke neurorestoration, highlighting his role in evidence-based clinical practice. Yi Yang has authored 98 Scopus-indexed publications, accumulating 1,370 citations with an h-index of 22, demonstrating both scientific impact and clinical relevance. Key studies include multimodal BCI applications for motor intention quantization, thalamic burst and tonic firing as biomarkers of consciousness, and cerebral neurovascular networks as potential targets for DoC interventions. His research advances neural plasticity understanding, supports personalized neurorestorative therapies, and aims to enhance functional recovery and quality of life for patients with severe neurological conditions.

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Featured Publications

Vikram Singh | Renewable Energy | Best Researcher Award

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Vikram Singh | Renewable Energy | Best Researcher Award

Mr. Vikram Singh, National Institute of Technology, India.

Vikram Singh is a dedicated researcher and educator in electrical engineering, specializing in fault detection and reconfiguration in multilevel inverters for renewable energy systems ⚡🌱. Currently pursuing a Ph.D. at NIT Raipur, he has extensive experience in power electronics, artificial intelligence applications, and renewable energy. With a strong background in hardware and software simulation, he has contributed to multiple international conferences and journals 📚. Vikram has also worked as an Assistant Professor at Kalinga University and actively participates in academic workshops and training programs. His passion for innovation and academic excellence drives his research in power system resilience. 🚀

Publivation Profiles

Orcid

Education and Experience

✅ Ph.D. (Pursuing) – NIT Raipur, Specialization: AI-Based Fault Detection in Multilevel Inverters (2021-Present)
✅ M.Tech (Electrical Power & Energy Systems) – NIT Srinagar, 2016-2018
✅ B.E. (Electrical Engineering) – SSGI Bhilai, 2011-2015
✅ 12th (HSC) – BMV Raipur, 2010-2011
✅ 10th (SSC) – BMV Raipur, 2008-2009

💼 Work Experience:
🔹 Research Scholar – NIT Raipur (2021-Present)
🔹 Assistant Professor – Kalinga University, Raipur (Nov 2019 – Jan 2021)

Suitability summary for best researcher Award

Mr. Vikram Singh, a promising researcher and Ph.D. candidate in Electrical Engineering at the National Institute of Technology, Raipur, is awarded the Best Researcher Award for his exceptional contributions in the fields of power electronics, fault detection, and renewable energy systems. His pioneering work, particularly in the application of artificial intelligence techniques in multilevel inverters and renewable energy systems, has had a significant impact on the development of smarter and more resilient power systems. Vikram’s innovative approach and dedication to advancing energy solutions make him a standout researcher in his field.

Professional Development

Vikram Singh is deeply committed to continuous learning and professional growth in power electronics and renewable energy systems ⚡🌿. He has successfully cleared GATE (2016, 2017, 2018) and completed a certified Python Data Analytics course 🖥️. Actively involved in academic workshops and conferences, he participated in PhD Summer Schools at IIT Bhubaneswar and MANIT Bhopal 🎓. He has also contributed as an organizer for SERB-sponsored workshops. His expertise spans MATLAB, Simulink, PSIM, PLECS, FPGA, and dSPACE controllers, enhancing his analytical and simulation skills for cutting-edge research in AI-powered fault detection. 🏅📊

Research Focus

Vikram Singh’s research primarily focuses on power electronics, artificial intelligence, and renewable energy systems ⚡🌍. His Ph.D. work revolves around AI-based fault detection and reconfiguration in multilevel inverters, crucial for enhancing the reliability and efficiency of standalone and grid-connected renewable energy systems. His expertise extends to machine learning algorithms, FPGA-based control systems, and hybrid inverter design. Vikram has published extensively in IEEE, Springer, and SCI-indexed journals, contributing to advancements in fault-tolerant power systems. His work aims to develop intelligent, resilient, and sustainable energy solutions for the future of renewable power generation. 🔋🔗

Publication Top Noted

1️⃣ Switch fault identification scheme based on machine learning algorithms for PV-Fed three-phase neutral point clamped inverter (📰 e-Prime – Advances in Electrical Engineering, Electronics and Energy, 2024) 📑

2️⃣ Open circuit fault diagnosis and fault classification in multi-level inverter using fuzzy inference system (📰 Serbian Journal of Electrical Engineering, 2023) 📑

3️⃣ Combined Wavelet and ANN-Based Open-Switch Fault Detection and Classification in PV-Fed Multilevel Inverter (📰 Journal of The Institution of Engineers (India): Series B, 2023) 📑

4️⃣ Open Switch Fault Diagnosis of Three-Phase Battery-Fed Capacitor Clamped Inverter using Machine-Learning Algorithm (📑 1st International Conference on Circuits, Power and Intelligent Systems (CCPIS), 2023)

5️⃣ Open-Switch Fault Detection and Classification in Five-Level Neutral-Point-Clamped Inverter by Using Fuzzy Interface System (📑 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT), 2022) 📑

6️⃣ Harmonic Reduction and Reactive Power Improvement using Shunt Active Power Filter and Thyristor-Controlled Reactor (📑 Second International Conference on Power, Control and Computing Technologies (ICPC2T), 2022) 📑

7️⃣ Performance Evaluation of A Shunt Active Power Filter For Current Harmonic Elimination (📑 IEEE Region 10 Symposium (TENSYMP), 2021) 📑

 

Howard Qingsong Tu | Energy Storage | Best Researcher Award

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Howard Qingsong Tu | Energy Storage | Best Researcher Award

Dr. Howard Qingsong Tu , Rochester Institute of Technology, United States.

Howard Qingsong Tu, Ph.D. is an Assistant Professor at Rochester Institute of Technology and Associate Director of the Battery Prototype Center. His career focuses on advancing sustainable energy and environment systems, especially through the mechanics of electrochemistry in solid-state batteries and water desalination. Dr. Tu completed his Ph.D. at UC Berkeley, followed by a postdoctoral fellowship at Lawrence Berkeley National Lab. He has co-founded a company, mentored students, and led numerous research projects funded by institutions such as the DOE, NSF, and DoD. He is passionate about bridging lab-scale innovations with industrial applications. 🔋🌍💧

Publication profile

Scopus

Education:

  • Ph.D. in Civil & Environmental Engineering, University of California, Berkeley (2017) 🎓
  • M.S. & B.S. in Mechanical Engineering, Beijing Institute of Technology (2011) 🛠️
  • Postdoc in Material Science, Lawrence Berkeley National Lab (2017-2021) 🧪

Professional Experience:

  • Assistant Professor, Rochester Institute of Technology (2021-present) 🏫
  • Associate Director, Battery Prototype Center (2022-present) 🔋
  • Co-Founder & CEO, CALSTERMER LLC (2014-2018) 💼

Suitability for The Award

  Dr. Howard Qingsong Tu is a highly suitable candidate for the Best Researcher Award due to his remarkable contributions to sustainable energy, environmental preservation, and electrochemical systems. His work spans from cutting-edge renewable energy storage solutions to innovative environmental technologies, addressing critical global challenges in energy efficiency, pollution control, and resource sustainability.

Professional Development (💼🔬)

Research Focus 🧫🧬

Awards and Honors (🏆🎖️

  • US-EDA Build Back Better Act ($1.3M/yr) – Co-PI 🏆
  • DoE-VTO Battery500 Program ($900K) – Co-PI 🏅
  • DoD-ARO Young Investigator Program ($120K/yr) – PI 🎖️
  • NYSP2I Pollution Prevention Fund ($150K/yr) – PI 🌍
  • ACS-ND Grant ($50K/yr) – PI 💼

Publication Top Notes