BME DOC📚
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کانالی برای جزوه...کلاس درسی...کتاب و هر چیز اموزشی مربوط به مهندسی @BMEDOC_ADMIN Support Our Mission 🤝🏻 Donate: www.coffeete.ir/BMEDOC
Show more📈 Analytical overview of Telegram channel BME DOC📚
Channel BME DOC📚 (@bme_doc) in the Farsi language segment is an active participant. Currently, the community unites 10 194 subscribers, ranking 19 697 in the Education category and 32 160 in the Iran region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 10 194 subscribers.
According to the latest data from 09 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 27 over the last 30 days and by 9 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 26.81%. Within the first 24 hours after publication, content typically collects 8.88% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 733 views. Within the first day, a publication typically gains 905 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
- Thematic interests: Content is focused on key topics such as مهندسی, امیرکبیر, دانشکده, تحصیل, ریاضی.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“کانالی برای جزوه...کلاس درسی...کتاب و هر چیز اموزشی مربوط به مهندسی
@BMEDOC_ADMIN
Support Our Mission 🤝🏻 Donate:
www.coffeete.ir/BMEDOC”
Thanks to the high frequency of updates (latest data received on 10 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
10 194
Subscribers
+924 hours
+17 days
+2730 days
Posts Archive
10 194
• ویدیو های کورس "اصول پردازش آماری سیگنال‌ها (SSP)"
از پروفسور حمیدرضا امین داور؛ استاد تمامِ دپارتمانِ شاخهٔ مخابرات، دانشکدهٔ مهندسی برق دانشگاه صنعتی امیرکبیر تهران
👇👇👇
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An intro to Wavelet transformation
خوب یاد بگیرید.
خواستید درسش رو با دکتر امین داور بردارید. (پردازش سیگنال پیشرفته)
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Dear Network,
I am thrilled to announce that our research group has multiple PhD openings for the Fall 2024 semester. If you know aspiring researchers passionate about machine learning with strong mathematical and analytical skills, please spread the word!
For those interested in pursuing a PhD and being part of cutting-edge research, feel free to reach out to me for more information or visit https://mmamiri.github.io/.
Thank you for helping us connect with talented individuals!
#PhDOpportunities #MachineLearning #Fall2024
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We have 2-3 open PhD positions at the Smart Grid Lab at San Diego State University (SDSU) in collaboration with the University of California, San Diego (UCSD). These joint PhD positions offer a unique opportunity for highly motivated and qualified candidates with a strong background in power systems, optimization, and machine learning.
As a PhD student in this program, you will primarily conduct research at the Smart Grid Lab at SDSU while taking your courses at UCSD, and upon completion, you will be granted a doctoral degree from both UCSD and SDSU. The program aims to develop cutting-edge solutions for the future smart grid infrastructure, addressing challenges in areas such as renewable energy integration, grid resilience, energy efficiency, and advanced control strategies.
Requirements:
- A strong background in power systems, optimization, and machine learning
- A Master's degree in Electrical Engineering or a related field is preferred
- Excellent problem-solving skills and the ability to work independently and as part of a team
- Strong communication skills, both written and verbal
-Experience with relevant software tools and programming languages is a plus
To apply, please email the following materials with the subject line "Fall 2024 Smart Grid Lab PhD Applicant" to smanshadi AT sdsu DOT edu before Nov. 15, 2023:
-Your CV/Resume
-A letter of interest and qualifications
-All Transcripts (unofficial copies are acceptable)
-Standard test records (e.g., GRE (optional), TOEFL, etc.)
-Any publication or sample writing (if available)
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https://intra.engr.ucr.edu/~enozari/
دکتر عرفان نوذری
I have multiple Ph.D. openings for Fall 2024!
The topic of research will be at the intersection of computational neuroscience, dynamical systems, and machine learning. The set of tools that we use ranges from rigorous mathematical analysis to engineering and statistical methods. The overall goal is to make high impact contributions to the identification, analysis, and/or control of brain network dynamics.
A decent mathematical background and interest in neuroscience is required. Background in dynamical systems and control theory (broadly defined, including system identification, nonlinear dynamics, signal processing, and robotics) and familiarity with computational neuroscience is preferred.
If interested, please send me an email. Make sure to attach your CV and all your past transcripts. I ensure that every inquiry is carefully reviewed, and follow up if I see potential for admission.
10 194
We have 2-3 open PhD positions at the Smart Grid Lab at San Diego State University (SDSU) in collaboration with the University of California, San Diego (UCSD). These joint PhD positions offer a unique opportunity for highly motivated and qualified candidates with a strong background in power systems, optimization, and machine learning.
As a PhD student in this program, you will primarily conduct research at the Smart Grid Lab at SDSU while taking your courses at UCSD, and upon completion, you will be granted a doctoral degree from both UCSD and SDSU. The program aims to develop cutting-edge solutions for the future smart grid infrastructure, addressing challenges in areas such as renewable energy integration, grid resilience, energy efficiency, and advanced control strategies.
Requirements:
- A strong background in power systems, optimization, and machine learning
- A Master's degree in Electrical Engineering or a related field is preferred
- Excellent problem-solving skills and the ability to work independently and as part of a team
- Strong communication skills, both written and verbal
-Experience with relevant software tools and programming languages is a plus
To apply, please email the following materials with the subject line "Fall 2024 Smart Grid Lab PhD Applicant" to smanshadi AT sdsu DOT edu before Nov. 15, 2023:
-Your CV/Resume
-A letter of interest and qualifications
-All Transcripts (unofficial copies are acceptable)
-Standard test records (e.g., GRE (optional), TOEFL, etc.)
-Any publication or sample writing (if available)
